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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
<issn pub-type="epub">2571-581X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2023.1199368</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neurology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Developing strategies for stabilizing the livelihood of smallholder farmers through non-farm activities: the application of the SWOT-AHP-TOWS analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Baghernejad</surname>
<given-names>Jafar</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2268620/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sabouri</surname>
<given-names>Mohammad Sadegh</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shokati Amghani</surname>
<given-names>Mohammad</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1828595/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Norozi</surname>
<given-names>Abbas</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Agricultural Extension and Education, Garmsar Branch, Islamic Azad University</institution>, <addr-line>Garmsar</addr-line>, <country>Iran</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Agricultural Extension and Education, College of Agriculture, Tarbiat Modares University (TMU)</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country></aff>
<aff id="aff3"><sup>3</sup><institution>Imam Khomeini Higher Education Center, Agricultural Research, Education, and Extension Organization</institution>, <addr-line>Karaj</addr-line>, <country>Iran</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001"><p>Edited by: Gizaw Desta, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Ethiopia</p></fn>
<fn fn-type="edited-by" id="fn0002"><p>Reviewed by: Moslem Savari, Khuzestan University of Agricultural Sciences and Natural Resources, Iran; Masoud Yazdanpanah, University of Florida, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Mohammad Sadegh Sabouri, <email>Ms.sabouri@iau-garmsar.ac.ir</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>7</volume>
<elocation-id>1199368</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Baghernejad, Sabouri, Shokati Amghani and Norozi.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Baghernejad, Sabouri, Shokati Amghani and Norozi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Non-farm activities are a means of livelihood stabilization and are regarded as a sustainable approach to bringing balance to the economic, social, cultural, and environmental dimensions of sustainable livelihood. The main purpose of this study was to develop strategies for stabilizing the livelihood of smallholder farmers through non-farm activities using a combined SWOT-AHP-TOWS model. The results of analyzing the strategic space for developing strategies for stabilizing the livelihood of smallholders through non-farm activities revealed that the strengths (0.391) were more than the weaknesses (0.276) in the internal space and that the opportunities (0.195) were more than the threats (0.138) in the external space. Also, it was found that the internal challenges (S + W = 0.667) were more important than the external challenges (O + T = 0.33) in developing livelihood stabilization strategies. Further, the results showed that the beneficial space (O + S = 0.586) dominated the risky space (T + W = 0.414). Eventually, 20 strategies were developed among which the most important ones were &#x201C;establishing and developing greenhouse cultivation based on the crop patterns considering the relative advantages of the villages&#x201D; and &#x201C;establishing microcredit foundations and funds to support the youth in getting involved in rural non-farm businesses.&#x201D; In general, the results can provide new insights into the stabilization of the livelihood of smallholders through non-farm activities.</p>
</abstract>
<kwd-group>
<kwd>rural livelihood</kwd>
<kwd>sustainable livelihood</kwd>
<kwd>non-farm activities</kwd>
<kwd>SWOT-AHP-TOWS analysis</kwd>
<kwd>smallholder agriculture</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="6"/>
<equation-count count="2"/>
<ref-count count="88"/>
<page-count count="18"/>
<word-count count="13518"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Land, Livelihoods and Food Security</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1.</label>
<title>Introduction</title>
<p>Presently, the diminishing power of the agricultural sector and its inability to supply sustainable livelihood is a rural social problem throughout the world because this sector can no longer supply rural livelihood by itself (<xref ref-type="bibr" rid="ref9">Bordoloi, 2020</xref>; <xref ref-type="bibr" rid="ref58">Shabanali Fami et al., 2021</xref>). So, to ensure the dynamism of the rural economy, it is unavoidable to provide an alternative to the use of local resources (<xref ref-type="bibr" rid="ref62">Shokati Amqani et al., 2016</xref>; <xref ref-type="bibr" rid="ref6">Black and Cobbinah, 2018</xref>). On the other hand, since livelihood in the rural areas of Iran, as with other developing countries, is severely interwoven with the exploitation of environmental resources, we are witnessing a high rate of environmental erosion caused by the excessive burden put on the limited basic production resources and the crisis of the unreasonable agricultural development in some parts (<xref ref-type="bibr" rid="ref15">Dehghanipour et al., 2018</xref>; <xref ref-type="bibr" rid="ref77">Zobeidi et al., 2021</xref>). Indeed, data shows that about 70 percent of global freshwater resources are consumed for crop production, although the rate varies in different countries. For example, this rate, whose global average is 71 percent, is as high as about 92 percent in Iran compared to almost 40 percent in the US (<xref ref-type="bibr" rid="ref47">Pourkashani, 2022</xref>). Similarly, in the economic sense, the share of the agricultural sector in the total global economic loss has reached from 19.2 percent in 2005 to 63.5 percent in 2020 (<xref ref-type="bibr" rid="ref70">United Nations Office for Disaster Risk Reduction, 2021</xref>). Therefore, an overview of the status of the agricultural sector in recent decades in various dimensions reveals that this sector is growingly struggling with diverse challenges, which are affecting its performance. So, the policymakers of sustainable agricultural and rural development should seek ways to save the agricultural sector from these shocks and challenges (<xref ref-type="bibr" rid="ref60">Shokati Amghani et al., 2018</xref>; <xref ref-type="bibr" rid="ref73">Yazdanpanah et al., 2021</xref>). Various research studies have shown that the diversification of rural livelihood with a focus on the development of non-farm activities can be considered by development policymakers and planners as a key solution. Income diversification for rural families is a key approach in that the income of agriculture alone does not suffice for the livelihood of most agricultural families and the income from diverse livelihood sources can be used for the family&#x2019;s welfare and for investment in crop production, which will, in turn, enhance the revenue of the agricultural activities (<xref ref-type="bibr" rid="ref7">Bojnec and Knific, 2021</xref>; <xref ref-type="bibr" rid="ref50">Savari and Moradi, 2022</xref>). The social, economic, and environmental developments in recent decades have deeply affected farmers&#x2019; livelihood strategies, which has, in turn, influenced the agricultural sector profoundly (<xref ref-type="bibr" rid="ref53">Savari et al., 2020</xref>; <xref ref-type="bibr" rid="ref61">Shokati Amghani et al., 2022</xref>; <xref ref-type="bibr" rid="ref76">Zhu et al., 2022</xref>), so farmers obviously have no way but to change to their livelihood strategies (<xref ref-type="bibr" rid="ref1000">Shivakoti and Schmidt-Vogt, 2008</xref>). In the last decades, many farmers in the world have resorted to different income choices to diversify their income sources as a means of avoiding risks, gaining social support, and above all, funding agricultural operations. Indeed, non-farm income generation by farm-holding households has recently turned into a necessary part of their strategies for achieving sustainable livelihood in the turmoil of rapidly evolving demographic and climate changes (<xref ref-type="bibr" rid="ref30">Iqbal et al., 2021</xref>). Therefore, the agricultural sector is growingly losing its capacity to supply employment and livelihood at the global and regional levels, and the supply of non-farm livelihood must be considered as a supplementary and/or alternative strategy for supplying agricultural livelihood. So, the purpose of this research is developing strategies for stabilizing the livelihood of smallholder farmers through non-farm activities.</p>
</sec>
<sec id="sec2">
<label>2.</label>
<title>Literature review</title>
<p>Various studies have addressed the stabilization of smallholders&#x2019; livelihood through non-farm activities, each covering a part of this phenomenon. This section reviews the research on sustainable livelihood and non-farm activities in Iran and other parts of the world.</p>
<p><xref ref-type="bibr" rid="ref904">Haggblade et al. (2005)</xref> argue that the rural non-farm economy plays a fundamental role in structural development processes during which the share of agriculture in national product decreases and the capital and work mobilization acts as an incentive for improving sustainable livelihood. Therefore, we here have a solution by which we can understand many motivational processes of general economic growth and poverty alleviation in least-developed countries.</p>
<p>In their study on livelihood change and sustainable livelihood development in elevated areas of Western Sumatra, Indonesia, <xref ref-type="bibr" rid="ref906">Mahdi et al. (2009)</xref> sought to analyze livelihood change and endurance of local families in response to changes in natural resources management over the previous decade. The results revealed that low-income people had lower access to capital assets than moderate-income and high-income groups. Nonetheless, access to capital assets had increased over time, and poor families experienced economic improvement and advancement, which reflected the overall increase in economic sustainability. Regarding environmental sustainability, intensive agricultural activities, such as the high rate of pesticide use and intensive tillage in slopped areas, had resulted in soil pollution and erosion.</p>
<p>In a master&#x2019;s thesis at the University of Wageningen, the Netherlands, conducted on farm assets, the features of non-farm activities, and the factors determining Ethiopian smallholders&#x2019; non-farm activity, <xref ref-type="bibr" rid="ref900">Abebe (2012)</xref> concluded that the variables of assets, family characteristics, demographic characteristics, time asset and representative cost, cultivation areas, age, gender, and education significantly influenced the participation of the studied communities in three groups of non-farm activities (handicraft, trade, and food/beverage sale) at different significance levels.</p>
<p><xref ref-type="bibr" rid="ref33">Keshavarz and Karami (2012)</xref> focused on the stabilization of rural livelihood as a challenge of the agricultural extension system in drought conditions and found that rural families have tried to reduce uncertainty in the agricultural sector by diversifying the household economy, agricultural activities, and social practices, changing living standards, and improving the technical management of agriculture. The regression analysis revealed that the constructs of annual income, governmental facilities received, indemnity received from the crop insurance fund, household head&#x2019;s age, extra-social communications, and the susceptibility of grains were the most important factors accounting for the sustainability of rural livelihood. Therefore, policies in the agricultural sector should allow the optimal use of social functions and human potential in this sector. In this regard, extension institutions and agents can play a key role in achieving these goals by focusing on collective actions and collectivism, empowering, building capacity among rural families, and increasing social participation.</p>
<p>In a study on the diversity of livelihood activities and welfare of rural households in Nigeria, <xref ref-type="bibr" rid="ref901">Abimbola and Oluwakemi (2013)</xref> proposed the extension and development of non-farm employment as a good supplementary way to increase farmers&#x2019; incomes, preserve rural balanced growth, and achieve sustainable rural livelihood.</p>
<p><xref ref-type="bibr" rid="ref2">Alavizadeh and Mir Lotfi (2013)</xref> investigated the role of the non-farm economy on rural immobility in the rural areas of Semirom County in Fars province, Iran and found that the farmers who were involved in the non-farm sector significantly outperformed the other rural families regarding the studied issues. In other words, these families had higher incomes, more optimal life quality, more satisfaction with life, and a greater tendency to stay in the village.</p>
<p><xref ref-type="bibr" rid="ref65">Sojasi Qeidari et al. (2015)</xref> analyzed the entrepreneurial role of non-farm activities in promoting life quality in the rural area of Shandiz District in Beinalud, Iran and reported that the entrepreneurship of non-farm activities had positive and significant effects on the economic, social, and environmental dimensions. The most effective component of the economic dimension was production quality with a beta coefficient of 0.308, the most effective component of the social dimension was access with a beta coefficient of 0.194, and the most effective component of the environmental dimension was the land-use change of fertile lands with a beta coefficient of 0.186. Therefore, the entrepreneurial activities in the region have brought about changes in the life quality of rural people among the studied samples.</p>
<p>In an assessment of the role and place of horticulture-based non-farm activities in diversifying the rural economy in Mahabad County in West Azerbaijan province, Iran, <xref ref-type="bibr" rid="ref31">Jami (2016)</xref> concluded that the development of these activities had a positive effect on all studied components including employment creation, income diversification, immigration reduction, and the supply of the family&#x2019;s welfare needs. The components of immigration reduction and family welfare had the highest numerical average and the greatest distance from numerical optimality, respectively. Also, the analysis of the correlation between the components of the economic development influenced by the horticulture-based non-farm activities and the welfare of rural families revealed that welfare was most closely correlated with income increase and diversification. In addition, factor analysis revealed that the factor of &#x201C;job creation and improvement of job opportunities&#x201D; and the factor of &#x201C;the improvement of income and investment opportunities&#x201D; accounted for 31.7 percent of the total variance, reflecting the positive effect of developing horticulture-based non-farm activities on diversifying the rural economy.</p>
<p><xref ref-type="bibr" rid="ref42">Masoumi and Hayati (2016)</xref> investigated the orientation of rural development by the entrepreneurial strategy of a non-agricultural economy and concluded that the variables of gender, household&#x2019;s annual farm income, and the number of immigrants from the family had positive and significant effects on the dependent variable and the variable of government facilities received had a negative and significant effect on non-farm activities. The remarkable role of women in non-farm activities reflects the significance of the social and cultural dimensions of these activities. The results revealed that education had no significant effect on the number of non-farm activities. Therefore, it is not necessary to emphasize this variable in efforts to develop non-farm activities.</p>
<p><xref ref-type="bibr" rid="ref902">Asfaw et al. (2017)</xref> investigated the factors determining the smallholders&#x2019; livelihood diversity in Ethiopia and revealed that lack of adequate capital, poor infrastructure, and lack of education were the main limitations hindering farmers from non-farm activities. The regression model showed that several factors dictated the smallholders&#x2019; willingness to engage in non-farm activities. Families with higher welfare, families with a young and educated head, access to micro-capitals, access to extension services, and social responsibility accounted for the smallholders&#x2019; participation in non-farm activities. The authors argued that the expansion of agricultural extension services, the supply of micro-capital, the education of entrepreneurship and skills, and the development of infrastructure would increase smallholders&#x2019; participation in non-farm activities.</p>
<p>In a study on the role of livelihood diversity in the resilience of rural families around Lake Urmia against drought, <xref ref-type="bibr" rid="ref27">Heidari-Sareban and Majnouni-Toutakhaneh (2017)</xref> reported that the adoption of the livelihood approach has increased the households&#x2019; resilience to drought around Lake Urmia. Indeed, livelihood was more diverse in villages that were exposed to more severe droughts.</p>
<p><xref ref-type="bibr" rid="ref11">Charaghi et al. (2018)</xref> studied the role of non-farm activities in the food security of rural households in the village of Fazl in Neishabur County, Iran and reported that the households&#x2019; food security increased with increasing non-farm activities. So, diversity in non-farm income sources increases food availability and access and stability in food consumption, which results in food security.</p>
<p><xref ref-type="bibr" rid="ref24">Hajian et al. (2019)</xref> addressed the role of diversity in on-farm and non-farm economic activities in the resilience of rural farming families to drought in a case study in Chenaran County and reported that the resilience of the studied households had directly increased by 0.19 through diversity in economic activities and by 0.12 through non-farm diversity. Based on the results, the authors recommended livelihood diversity with an emphasis on the non-farm sector as a strategy for the development of rural areas exposed to drought.</p>
<p><xref ref-type="bibr" rid="ref16">Esmaeili et al. (2019)</xref> studied the effectiveness of farm-nonfarm diversity on the life quality of rural people in a case study on the village of Golmakan in Chenaran County and concluded that the diversity of nonfarm economic activities had a significant effect on the variance in the dependent variable (i.e., the life quality of rural people) so that one unit of change in the standard deviation of non-farm activities would cause a 0.6-unit change in the standard deviation of the life quality. The regression model with a standard beta coefficient was as follows: (The diversity in non-farm activities) (0.6)&#x2009;+&#x2009;(5.795)&#x2009;=&#x2009;(the life quality in rural areas). Indeed, there was a linear direct relationship between the diversity in nonfarm economic activities and life quality.</p>
<p>In their study on the role of non-farm employment on the supply of food security among rural families in Colombia, <xref ref-type="bibr" rid="ref903">Do et al. (2019)</xref> concluded that non-farm employment accounted for about 32 percent of the total annual income of rural households. It was also found that rural families&#x2019; participation in non-farm activities and non-farm income were significantly influenced by the educational level of the household head, the number of motorcycles and cellphones, the conditions of the rural roads, farm size, the number of income shocks, and the house distance from the closest market.</p>
<p><xref ref-type="bibr" rid="ref907">Rashidin et al. (2020)</xref>, who investigated the consequences of rural households&#x2019; non-farm economy for agricultural productivity in Pakistan, conclude that the income source of Pakistani rural households is changing due to the development of modern science and technology and that the nonfarm income is turning into the chief source of sustainable rural livelihood. The results revealed that the availability of banks, communication roads, forests, telecommunication infrastructure, mountainous pastures, and shrub lands influenced nonfarm income. On the other hand, it was found that nonfarm income had a negative effect on <italic>per capita</italic> farm income. But it had a significant positive effect on agricultural productivity.</p>
<p><xref ref-type="bibr" rid="ref25">Han et al. (2021)</xref> studied the relationship between the nonfarm rural sector and the income of rural residents in China. According to their results, the nonfarm rural sector had a significant positive effect on the income of rural residents. They proposed that government agencies develop the nonfarm sector based on local conditions. They also asserted that for the long-term rural revival, nonfarm employment should be continuously increased in rural areas in order to improve the income of rural residents.</p>
<p>In a study on the patterns, incentives, and factors influencing nonfarm income diversity among farmer families in Punjab State, Pakistan, <xref ref-type="bibr" rid="ref30">Iqbal et al. (2021)</xref> concluded that almost 79 percent of the studied farmers participated in nonfarm income-generating activities whereas the income from these sources accounted for almost 15 percent of the total household income. Most respondents were interested in non-farm activities and also investment in self-employment. The main reasons for pursuing non-farm activities included low income of farming, mitigation of agricultural risks, gaining a budget for funding farm operations, and the tendency to increase household income.</p>
<p><xref ref-type="bibr" rid="ref23">Hajian and Ghasemi (2021)</xref>, who investigated the role of income source diversity on the susceptibility of rural farmer families to drought in a case study in Chenaran County, reported that nonfarm diversity reduced the susceptibility of rural farmer families. The mean susceptibility score of the families with diverse nonfarm income sources was 3.72, whereas it was 3.88 for semi-diverse and 4.18 for non-diverse ones. Also, agricultural diversity had no statistically significant effect on the susceptibility of rural farmer families exposed to drought. Based on the path analysis, nonfarm diversity reduced the susceptibility of the farmer families by &#x2212;0.23.</p>
<p>Addressing the relationship between the socioeconomic sustainability of rural people and their livelihood diversity, <xref ref-type="bibr" rid="ref28">Hosseini et al. (2022)</xref> concluded that almost 55 percent of the respondents lacked livelihood diversity and that their socioeconomic sustainability was at a moderate to low and undesirable level. Based on the results of cross-tabulations, there was a positive and significant relationship between their economic sustainability and the likelihood of livelihood diversity among rural people. In addition, the comparison of the mean economic sustainability of those who had livelihood diversity with those who did not show a statistically significant difference at the <italic>p</italic> &#x003C;&#x2009;0.05 level. Those who had more diverse jobs and more diverse income sources experienced higher economic sustainability. Finally, the results for the factors underpinning the likelihood of livelihood diversity using the logistic regression test showed that the most important factors included land ownership type, possession of a personal car, and attendance in technical and professional education courses.</p>
<p>In an attempt to design a paradigm for stabilizing the livelihood of orchard owners in the coastal area of Lake Urmia against late spring chilling, <xref ref-type="bibr" rid="ref74">Zamzami et al. (2022)</xref> found that the causal conditions influencing the paradigm of stabilizing the livelihood of the studied orchard owners against late spring chilling included such categories as management challenges, orchard owners&#x2019; inability to adapt to climate change, social challenges, lack of participation in decision-making, economic challenges, and lack of infrastructure development. The contextual conditions included categories like equipment and infrastructure factors, specialized human resource, lack of comprehensive and integrated policy-making, lack of coordination in the execution and planning, and economic and cultural factors. Also, production challenges, market management, the need for considering resistant economy programs, the use of regional potential, education-extension factors, and farm smallness constituted the intervening conditions. Eventually, operational and executive, educational and research, economic and livelihood, and managerial strategies were identified to stabilize the livelihood of orchard owners against late spring chilling. In general, stabilizing the livelihood of the orchard owners against late spring chilling would, based on the results, have various ramifications for the target community, including sustainable productivity, the establishment of social justice, livelihood sustainability, sustainable market management, and economic sustainability.</p>
<p><xref ref-type="bibr" rid="ref76">Zhu et al. (2022)</xref>, who studied agricultural diversity and changes in family livelihood strategies, revealed that farmers who decided not to step away from agricultural livelihood would not make significant changes in their agricultural diversity. Compared to families with an increase in the agricultural diversity index, the families that had a decrease in this index would exhibit more willingness toward livelihood diversity if they were selected for preserving agricultural livelihood in a part-time or full-time manner.</p>
<p>review of the above research shows that each of the researchers has examined different dimensions of sustainable livelihood. Therefore, every researcher has tried to fill the gap in knowledge. The gap in knowledge of rural livelihoods that can be seen here is the discussion of livelihood stabilization, which can be done through different approaches. In this research, one of these approaches is the development of non-farm activities. Based on this, the purpose of this research is to develop strategies for stabilizing the livelihood of smallholder farmers through non-farm activities.</p>
</sec>
<sec sec-type="materials|methods" id="sec3">
<label>3.</label>
<title>Materials and methods</title>
<sec id="sec4">
<label>3.1.</label>
<title>Study site</title>
<p>The spatial realm of the research includes four provinces in Iran, which have been selected based on the fourfold climatic conditions. Alborz province was selected from the cold climate, Yazd province was selected from the hot and arid climate, Hormozgan province was selected from the hot and humid climate, and Guilan province was selected from the temperate and humid climate.</p>
<sec id="sec5">
<label>3.1.1.</label>
<title>Guilan province</title>
<p>Guilan is a province in the north of Iran whose capital city is Rasht. This is confined to the Capsian Sea and the Republic of Azerbaijan &#x2013; with which it has an international borderline in Astara - from the north, Ardabil province from the west, Zanjan and Qazvin provinces from the south, and Mazandaran province from the east. Guilan province has an area of 14,044&#x2009;km<sup>2</sup> and a population of 2,530,696 people based on the 2016 census. This province is the tenth most crowded province in Iran and the second most crowded province in the north after Mazandaran province. The 2017 and 2020 statistics of rural people&#x2019;s expenses and incomes, the monetary income from non-farm activities in this province increased from 32,043 thousand IRR in 2017 to 46,459 thousand IRR in 2020 (<xref ref-type="bibr" rid="ref67">Statistical Centre of Iran, 2022</xref>). This shows that the role of non-farm activities in rural income generation has increased in recent years (<xref rid="fig1" ref-type="fig">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The map of Guilan province.</p>
</caption>
<graphic xlink:href="fsufs-07-1199368-g001.tif"/>
</fig>
</sec>
<sec id="sec6">
<label>3.1.2.</label>
<title>Alborz province</title>
<p>Alborz province covers an area of about 5,142&#x2009;km<sup>2</sup> between the latitudes 35&#x00B0;31&#x2032; and 36&#x00B0;21&#x2019; N. and the longitudes 50&#x00B0;10&#x2032; and 51&#x00B0;30&#x2032; E. This province is bordered by Mazandaran province on the north, Tehran province on the east, Markazi province on the southeast, Qazvin province on the west, and Tehran province on the east. Based on the national census of the agricultural sector in 2014, the number of farmers in this province amount to 30,281 who are engaged in different agricultural sectors. Out of these farmers, 51 percent are residents of the province, whereas 49 percent aren&#x2019;t. Also, 92.4 percent have their own agricultural lands, but 7.6 percent have no land. The statistics of rural families&#x2019; expenses and incomes in 2017 and 2020 reveal an increase in the monetary income of non-farm activities from 35,234 thousand IRR in 2017 to 95,804 thousand IRR in 2020 (<xref ref-type="bibr" rid="ref67">Statistical Center of Iran, 2022</xref>), which reflects the promoted role of non-farm activities in rural income generation in recent years (<xref rid="fig2" ref-type="fig">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The map of Alborz province.</p>
</caption>
<graphic xlink:href="fsufs-07-1199368-g002.tif"/>
</fig>
</sec>
<sec id="sec7">
<label>3.1.3.</label>
<title>Yazd province</title>
<p>The capital city of Yazd province is Yazd. The population of this province is 1,138,533 people (340,657 households) based on the 2016 census. Yazd is the water resource-scariest province in Iran due to its arid climate and low precipitation. The main crop production areas are the counties of Khatam and Abarkuh, respectively, where crops like wheat, corn, plum, pomegranate, almond, pistachio, and grapes are produced. They mostly trade their crops with the counties in the north of Fars province. In recent years, many greenhouses have been established due to the high return of greenhouse products and the need for managing water scarcity in the Harat region. These greenhouses produce diverse products, e.g., cucumbers, tomatoes, <italic>aloe vera</italic>, and bell peppers. The statistics of rural families&#x2019; expenses and income in 2017 and 2020 show that the monetary income from non-farm activities has increased from 24,802 thousand IRR in 2017 to 61,351 thousand IRR in 2020 in this province (<xref ref-type="bibr" rid="ref67">Statistical Center of Iran, 2022</xref>). So, non-farm activities have gained a more significant role in rural income generation in this province in recent years (<xref rid="fig3" ref-type="fig">Figure 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>The map of Yazd province.</p>
</caption>
<graphic xlink:href="fsufs-07-1199368-g003.tif"/>
</fig>
</sec>
<sec id="sec8">
<label>3.1.4.</label>
<title>Hormozgan province</title>
<p>Hormozgan province is one of the southern provinces in Iran. It is located north of the Strait of Hormuz and is a tourism and economic hub in Iran. Its capital city is Bandar Abbas. Hormozgan province is located between the latitudes 25&#x00B0;24&#x2032; and 28&#x00B0;57&#x2019; N. and the longitudes 53&#x00B0;41&#x2032; and 59&#x00B0;15&#x2032; E. The province, which is the 8th largest province of Iran, has an area of about 68,000&#x2009;km2 (almost as great as Georgia). Hormozgan is bordered by Kerman province on the north and northeast, Fars and Bushehr province on the west and northwest, Sistan and Baluchestan province on the east, and the Persian Gulf and Oman Sea on the south with a coastal line of about 900&#x2009;km. This province has 13 counties, 39 districts, 88 rural districts, and 50 cities. The statistics of rural families&#x2019; expenses and income in 2017 and 2020 show that the monetary income from non-farm activities in this province has decreased from 18,378 thousand IRR in 2017 to 12,101 thousand IRR in 2020 (<xref ref-type="bibr" rid="ref67">Statistical Center of Iran, 2022</xref>). So, non-farm activities have lost their significance in rural income generation in recent years (<xref rid="fig4" ref-type="fig">Figure 4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>The map of Hormozgan province.</p>
</caption>
<graphic xlink:href="fsufs-07-1199368-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="sec9">
<label>3.2.</label>
<title>Research design</title>
<p>This research is a quantitative study that is a field study in terms of data collection and a single-sectional study in terms of time horizon. It was conducted in two phases. The strategic status was analyzed in the first phase, and the strategies were developed for stabilizing the livelihood of smallholders through non-farm activities in the second phase. In this phase, multi-criteria decision-making (MCDM) models were used to develop strategies for stabilizing the livelihood of smallholders through non-farm activities. MCDM models are broadly divided into two categories &#x2013; multi-objective decision-making (MODM) models and multi-attribute decision-making (MADM) models. In general, MODM models are used to design multi-attribute models for the selection of superior alternatives (<xref ref-type="bibr" rid="ref45">Opricovic and Tzeng, 2004</xref>). The main difference between MODM and MADM models is that the former is defined in a continuous decision-making space while the latter is defined in a discrete decision-making space (<xref ref-type="bibr" rid="ref37">Kumar et al., 2017</xref>). In this step, the literature was reviewed to identify the internal environment (strengths and weaknesses) and the external environment (opportunities and threats) of the study subject at the study site. Then, the data were analyzed with a combined SWO-AHP-TOWS model. Since informant experts and professionals are usually selected in strategic research studies (<xref ref-type="bibr" rid="ref44">Noshad et al., 2018</xref>), the statistical population and the research sample were selected out of the relevant experts (<italic>n</italic> =&#x2009;40) using non-probabilistic purposive sampling (<xref rid="tab1" ref-type="table">Table 1</xref>). They were then interviewed by the SWOT-AHP questionnaire.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The research samples.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Province</th>
<th align="left" valign="top">Relevant organization</th>
<th align="center" valign="top">Frequency</th>
<th align="center" valign="top">Percentage</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Alborz</td>
<td align="left" valign="top">Agricultural Extension Experts of Agriculture Organization of Alborz Province</td>
<td align="center" valign="top">5</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Experts at the General Office of Cultural Heritage, Tourism, and Handicraft of Alborz Province</td>
<td align="center" valign="top">5</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hormozgan</td>
<td align="left" valign="top">Agricultural Extension Experts of Agriculture Organization of Hormozgan Province</td>
<td align="center" valign="top">5</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Experts at the General Office of Cultural Heritage, Tourism, and Handicraft of Hormozgan Province</td>
<td align="center" valign="top">5</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Guilan</td>
<td align="left" valign="top">Agricultural Extension Experts of Agriculture Organization of Guilan Province</td>
<td align="center" valign="top">5</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Experts at the General Office of Cultural Heritage, Tourism, and Handicraft of Guilan Province</td>
<td align="center" valign="top">5</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yazd</td>
<td align="left" valign="top">Agricultural Extension Experts of Agriculture Organization of Yazd Province</td>
<td align="center" valign="top">5</td>
<td align="center" valign="middle">25</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Experts at the General Office of Cultural Heritage, Tourism, and Handicraft of Yazd Province</td>
<td align="center" valign="top">5</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Total</td>
<td/>
<td align="center" valign="top">40</td>
<td align="center" valign="middle">100</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec10">
<label>3.3.</label>
<title>SWOT analysis</title>
<p>The SWOT analysis is an efficient technique to identify internal factors (opportunities and threats) and external factors (opportunities and threats) that influence a subject and analyze the status quo (<xref ref-type="bibr" rid="ref22">G&#x00FC;rel and Tat, 2017</xref>). The term SWOT stands for four words, i.e., Strengths, Weaknesses, Opportunities, and Threats (<xref ref-type="bibr" rid="ref20">Ghazinoory et al., 2011</xref>). Weaknesses in the STOW analysis refer to those that stop the performance of an organization at its current level. This part should be improved to sustain competitiveness, but strengths are positive capabilities and features that contribute to the successful achievement of organizational missions (<xref ref-type="bibr" rid="ref66">Solangi et al., 2019</xref>). Opportunities refer to desirable external factors that can help an organization achieve a competitive advantage, and threats are factors that may be harmful to the organization (<xref ref-type="bibr" rid="ref59">Shakerian et al., 2016</xref>). In general, the SWOT matrix is a famous instrument to identify the strategic situation and help managers and policymakers in decision-making (<xref ref-type="bibr" rid="ref10">Bouraima et al., 2020</xref>). Various studies have used this instrument to identify and rank strategies in fields like the formulation of strategies for livelihood stabilization (<xref ref-type="bibr" rid="ref22">G&#x00FC;rel and Tat, 2017</xref>).</p>
</sec>
<sec id="sec11">
<label>3.4.</label>
<title>AHP analysis</title>
<p>In the SWOT model, there is no instrument to determine the importance of the factors or assess the decision-making alternatives in terms of the criteria (<xref ref-type="bibr" rid="ref32">Kangas et al., 2003</xref>). So, many previous studies have combined SWOT with the Analytic Hierarchy Process (AHP) to tackle this shortage. As shown in <xref rid="fig5" ref-type="fig">Figure 5</xref>, the application of this method requires four major actions: (1) Modeling, through which the problem and the purpose of decision-making are derived as a hierarchy of decision elements that are related to each other. Decision elements include &#x201C;decision indicators&#x201D; and &#x201C;decision options.&#x201D; The process of hierarchical analysis requires breaking down a problem with several indicators into a hierarchy of levels. The high level expresses the main goal of the decision-making process. The second level represents the major and basic indicators &#x201C;which may be broken into sub-criteria and more detailed in the next level). The last level presents the decision options. <xref rid="fig5" ref-type="fig">Figure 5</xref> shows the hierarchy of a decision problem. (2) Making pairwise comparisons between different decision options, based on each criteria and judging the importance of the decision criteria by making pairwise comparisons, after designing the hierarchy of the decision problem, the decision maker should create a set of matrices that are numerically important or to establish the relative preference of the criteria to each other and to measure each decision option according to the criteria compared to other options. This is done by making two-by-two comparisons between the decision elements and by assigning numerical points that indicate the priority or importance between the two decision elements. (3) Determining the weight of &#x201C;decision elements&#x201D; relative to each other through a series of numerical calculations. The next step in the process of hierarchical analysis is to perform the necessary calculations to determine the priority of each of the decision elements using the information from the pairwise comparison matrix. (4) Integrating the relative weights in order to rank the decision options, at this stage the relative weight of each element must be multiplied by the weight of the higher elements to obtain its final weight. By performing this step for each option, the final weight value is obtained, and (5) consistency in judgments: approximately all calculations related to the hierarchical analysis process are based on the decision maker&#x2019;s initial judgment, which appears in the form of a pairwise comparison matrix. It takes place and any error and inconsistency in comparing and determining the importance between options and criteria distorts the final result obtained from the calculations. An inconsistency rate is a tool that specifies consistency and shows how much the priorities resulting from the comparisons can be trusted. Experience has shown that if the inconsistency rate is less than 0.10, the consistency of the comparisons is acceptable, and otherwise the comparisons should be revised.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>AHP Process.</p>
</caption>
<graphic xlink:href="fsufs-07-1199368-g005.tif"/>
</fig>
<p>AHP allows pairwise comparison of the factors constituting SWOT and provides a precise estimation of the relative importance of the factors (<xref ref-type="bibr" rid="ref36">Kubler et al., 2016</xref>). The main instrument in this section was a questionnaire that was designed based on the SWOT-AHP technique. Therefore, AHP was used to assign weights to the SWOT-constituting factors and sub criteria. The hierarchy for this research has been organized into four levels. The primary level, as normal, is the objective to be accomplished by the choice; the following level is constituted by the four bunches of variables as characterized by the SWOT procedure:</p>
<p>Strengths (S), Weaknesses (W), Opportunities (O), and Threats (T); the third level is constituted by the variables included in each one of the four groups of the past level; and at long last, the fourth level is constituted by the strategies that should be evaluated and compared (<xref ref-type="bibr" rid="ref26">Haque et al., 2020</xref>). A graphical representation of the hierarchy is presented in the <xref rid="fig6" ref-type="fig">Figure 6</xref>:</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>The AHP model to select the suitable strategy for stabilizing the livelihood of smallholders through non-farm activities (derived from <xref ref-type="bibr" rid="ref46">Osuna and Aranda, 2007</xref>).</p>
</caption>
<graphic xlink:href="fsufs-07-1199368-g006.tif"/>
</fig>
<p>As shown in the <xref rid="tab2" ref-type="table">Table 2</xref>, each of the criteria and sub-criteria was completed through the questionnaire by the studied population, which are Agricultural Extension Experts at the agriculture Organization of Province and Experts at the General Office of Cultural Heritage, Tourism, and Handicraft of Province.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>AHP Scale.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Raw</th>
<th align="left" valign="middle" rowspan="2">Criteria A</th>
<th align="left" valign="middle" rowspan="2">Criteria B</th>
<th align="center" valign="middle" colspan="5">Weights (1&#x2013;9)</th>
</tr>
<tr>
<th align="center" valign="middle">Equal importance (1)</th>
<th align="center" valign="middle">Moderate importance (3)</th>
<th align="center" valign="middle">Moderate importance (5)</th>
<th align="center" valign="middle">Very strong importance (7)</th>
<th align="center" valign="middle">Very strong importance (9)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Strengths</td>
<td align="left" valign="middle">Weaknesses</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Strengths</td>
<td align="left" valign="middle">Opportunities</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Strengths</td>
<td align="left" valign="middle">Threats</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Weaknesses</td>
<td align="left" valign="middle">Opportunities</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Weaknesses</td>
<td align="left" valign="middle">Threats</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">6</td>
<td align="left" valign="middle">Opportunities</td>
<td align="left" valign="top">threats</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>Data were operationalized in the Expert Choice and Excel software packages. In this step, the weights of the main factors (strengths, weaknesses, opportunities, and threats) were first calculated (RW in <xref rid="tab3" ref-type="table">Table 3</xref>). Then, the weights of the subcriteria were calculated (RP in <xref rid="tab3" ref-type="table">Table 3</xref>). Finally, <xref ref-type="disp-formula" rid="EQ2">Eq. (1)</xref> was used to rank the subcriteria (TP in <xref rid="tab3" ref-type="table">Table 3</xref>) as follows:</p>
<disp-formula id="EQ2"><label>(1)</label><mml:math id="M1"><mml:mrow><mml:mi mathvariant="normal">TP</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="normal">RW</mml:mi><mml:mo>&#x00D7;</mml:mo><mml:mi mathvariant="normal">RP</mml:mi></mml:mrow></mml:math></disp-formula>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>The TOWS matrix to determine strategies for formulating smallholders&#x2019; livelihood stabilization strategies.</p>
</caption>
<table frame="hsides" rules="groups">
<tbody>
<tr>
<td align="left" valign="top">TOWS matrix</td>
<td align="left" valign="top">Opportunities (O)</td>
<td align="left" valign="top">Threats (T)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">(O1) The helplessness of the smallholder agriculture sector in supplying rural livelihood<break/>(O2) High risk of farm activities<break/>(O3) The existence of surplus manpower in the agricultural sector<break/>(O4) The reluctance of the young generation to work in smallholder agriculture<break/>(O5) People&#x2019;s growing interest in tourism and the purchase of handicrafts and arts<break/>(O6) Development of ICT in villages (access to the Internet in villages)<break/>(O7) Expansion of the use of social networks (Telegram, WhatsApp, and Instagram) in villages<break/>(O8) The possibility of benefiting from incentives related to rural employment creation laws</td>
<td align="left" valign="top">(T1) Inadequacy of infrastructure and public facilities in some villages<break/>(T2) Lack of certain authority for rural development<break/>(T3) Cumbersome bureaucracy and rules for setting up non-farm businesses<break/>(T4) Lack of support for the private sector to invest in non-farm businesses<break/>(T5) Lack of expertise of most villagers to get involved in non-farm businesses<break/>(T6) International sanctions on the supply of some production inputs<break/>(T7) Lack of a suitable market for selling non-farm products<break/>(T8) The inability of villages to control and deal with epidemic viral diseases (such as the COVID-19)</td>
</tr>
<tr>
<td align="left" valign="top">Strengths (S)</td>
<td align="left" valign="top">Aggressive strategies (SO)</td>
<td align="left" valign="top">Competitive strategies (ST)</td>
</tr>
<tr>
<td align="left" valign="top">(S1) Low investment risk in non-farm businesses<break/>(S2) Lower dependence on climate and weather conditions than the agricultural sector<break/>(S3) The possibility of creating added value in non-farm products<break/>(S4) The possibility of developing the production level in non-farm businesses<break/>(S5) High return on capital in non-farm businesses<break/>(S6) The ease of non-farm activities compared to farm activities<break/>(S7) Higher non-farm income and profit and non-agricultural than farm income<break/>(S8) The possibility of transferring surplus profits of the non-farm sector to the agricultural sector</td>
<td align="left" valign="top">(SO1) Involving rural people in rural employment creation programs<break/>(SO2) Identifying farmers who are susceptible to climate change and supporting them in launching and developing rural non-farm businesses as an alternative source of livelihood<break/>(SO3) Establishing microcredit foundations and funds to support the youth in getting involved in rural non-farm businesses<break/>(SO4) Using the capacity of social networks in marketing rural farm and non-farm products<break/>(SO5) Establishing and developing greenhouse cultivation based on the crop patterns considering the relative advantages of the villages</td>
<td align="left" valign="top">(ST1) Launching an non-farm extension sector along with the agricultural sector in the Organization of Agriculture and the Organization of Cultural Heritage, Tourism, and Handcraft<break/>(ST2) Holding specific skill training courses for non-farm businesses and agricultural processing industries in rural areas<break/>(ST3) Founding an organization for rural development for the optimal planning of all non-farm affairs in rural areas<break/>(ST4) Providing incentives for the return of rural immigrants for employment in the rural non-farm sector<break/>(ST5) Improving and developing infrastructure and general facilities in villages for facilitating the involvement of investors in rural non-farm entrepreneurship</td>
</tr>
<tr>
<td align="left" valign="top">Weaknesses (W)</td>
<td align="left" valign="top">Conservative strategies (WO)</td>
<td align="left" valign="top">Defensive strategies (WT)</td>
</tr>
<tr>
<td align="left" valign="top">(W1) Capital-intensiveness of most non-farm businesses<break/>(W2) Lack of career counselors to guide those interested in starting a non-farm business<break/>(W3) Incompatibility of some non-farm businesses with the rural environment<break/>(W4) Lack of financing of rural non-farm businesses<break/>(W5) Lack of rural non-farm business plans<break/>(W6) Unprecedentedness of rural non-farm businesses<break/>(W7) Hard acceptance of non-farm business by villagers<break/>(W8) Modernizing and transforming the identity and nature of rural communities</td>
<td align="left" valign="top">(WO1) Identifying the potential and <italic>de facto</italic> capacities of rural areas for creating and developing rural non-farm businesses<break/>(WO2) Supporting the development of processing industries considering the relative advantage of each region to prevent rural immigration<break/>(WO3) Providing low-interest loans and facilities to farmers in order to launch and develop non-farm businesses<break/>(WO4) Formulating and localizing non-farm business plans based on the environmental, social, economic, and cultural conditions of the village<break/>(WO5) Holding specific site visits to observe live on-farm and non-farm activities in rural areas</td>
<td align="left" valign="top">(WT1) Establishing a suitable organizational system for operationalizing smallholders&#x2019; livelihood through non-farm activities using the regional infrastructure<break/>(WT2) Founding knowledge-intensive enterprising and using the graduates of different disciplines to provide consultation services to the rural people in order to grasp non-farm entrepreneurial opportunities in the region<break/>(WT3) Launching specific markets for rural handcraft in urban areas<break/>(WT4) Facilitating the process of issuing work permits for rural non-farm businesses</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In this formula: Relative Weight (RW), Relative Priority (RP) and Total Prioritization (TP).</p>
</sec>
<sec id="sec12">
<label>3.5.</label>
<title>TOWS analysis</title>
<p>Although the SWOT analysis provides a clear understanding of the internal and external environment of a phenomenon and specifies the strategic space of the subject, this matrix does not propose a strategy for improving the status quo (<xref ref-type="bibr" rid="ref57">&#x015E;eker and &#x00D6;zg&#x00FC;rler, 2012</xref>). The TWOS matrix is an instrument that is usually applied after the SWOT matrix to help propose strategies for improving the present and future status (<xref ref-type="bibr" rid="ref21">Gottfried et al., 2018</xref>). The TOWS matrix is extensively used to determine strategies for which it relies on strengths, weaknesses, opportunities, and threats (<xref ref-type="bibr" rid="ref3">Asadpourian et al., 2020</xref>). In the TOWS matrix, the crossing of strengths, weaknesses, opportunities, and threats yields four types of strategies including WT, ST, WO, and SO (<xref ref-type="bibr" rid="ref57">&#x015E;eker and &#x00D6;zg&#x00FC;rler, 2012</xref>; <xref ref-type="bibr" rid="ref3">Asadpourian et al., 2020</xref>).</p>
<list list-type="bullet">
<list-item><p>SO: All organizations seek ways to maximize their strengths and opportunities simultaneously.</p></list-item>
<list-item><p>WO: Adaptive strategies try to take the most advantage of the existing opportunities by reducing the weaknesses.</p></list-item>
<list-item><p>ST: These strategies are based on exploiting strengths in coping with threats and aim to maximize strengths and minimize threats.</p></list-item>
<list-item><p>WT: These strategies, which can be called &#x201C;survival&#x201D; strategies, generally aim to reduce weaknesses in order to reduce or neutralize threats.</p></list-item>
</list>
<p>Each strategy is usually a mixture of several subcriteria. To calculate the weight of each strategy, the weights of the respective subcriteria should be multiplied. <xref ref-type="disp-formula" rid="EQ1">Eq. (2)</xref> was considered for calculating the weight of the strategies.</p>
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</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>4.</label>
<title>Results</title>
<sec id="sec14">
<label>4.1.</label>
<title>Identifying the fourfold points of SWOT for the analysis of the status quo</title>
<p>After reviewing the theoretical literature, 16 external points (8 opportunities and 8 threats) and 16 internal points (8 strengths and 8 weaknesses) were identified for formulating strategies for stabilizing the livelihood of smallholders through non-farm activities (<xref rid="tab4" ref-type="table">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>The external and internal factors in the SWOT matrix.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="top" colspan="2">Internal points</th>
<th align="center" valign="top" colspan="2">External points</th>
</tr>
<tr>
<th align="left" valign="top">Strengths</th>
<th align="left" valign="top">Weaknesses</th>
<th align="left" valign="top">Opportunities</th>
<th align="left" valign="top">Threats</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Low investment risk in non-farm businesses</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Capital-intensiveness of most non-farm businesses</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>The helplessness of the smallholder agriculture sector in supplying rural livelihood</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Inadequacy of infrastructure and public facilities in some villages</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lower dependence on climate and weather conditions than the agricultural sector</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lack of career counselors to guide those interested in starting a non-farm business</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>High risk of farm activities</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lack of certain authority for rural development</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>The possibility of creating added value in non-farm products</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Incompatibility of some non-farm businesses with the rural environment</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>The existence of surplus manpower in the agricultural sector</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cumbersome bureaucracy and rules for setting up non-farm businesses</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>The possibility of developing the production level in non-farm businesses</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lack of financing of rural non-farm businesses</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>The reluctance of the young generation to work in smallholder agriculture</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lack of support for the private sector to invest in non-farm businesses</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>High return on capital in non-farm businesses</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lack of rural non-farm business plans</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>People&#x2019;s growing interest in tourism and the purchase of handicrafts and arts</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lack of expertise of most villagers to get involved in non-farm businesses</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>The ease of non-farm activities compared to farm activities</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Unprecedentedness of rural non-farm businesses</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Development of ICT in villages (access to the Internet in villages)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>International sanctions on the supply of some production inputs</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Higher non-farm income and profit and non-agricultural than farm income</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Hard acceptance of non-farm business by villagers</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Expansion of the use of social networks (Telegram, WhatsApp, and Instagram) in villages</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lack of a suitable market for selling non-farm products</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>The possibility of transferring surplus profits of the non-farm sector to the agricultural sector</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Modernizing and transforming the identity and nature of rural communities</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>The possibility of benefiting from incentives related to rural employment creation laws</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>The inability of villages to control and deal with epidemic viral diseases (such as the COVID-19)</p>
</list-item>
</list>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec15">
<label>4.2.</label>
<title>Relative importance of criteria and sub criteria affecting the development of strategies for stabilizing the livelihood of smallholders</title>
<p>To calculate and rank the criteria and sub criteria that affect the development of strategies for stabilizing the livelihood of smallholders, we should first assign weights to the fourfold criteria of SWOT (strengths, weaknesses, opportunities, and threats). Thus, the weights of the SWOT criteria were specified by their pairwise comparison. Based on the results, the strengths and weaknesses whose weights were 0.391 and 0.276, respectively had the greatest impact on the development of strategies for stabilizing the livelihood of smallholders through non-farm activities (<xref rid="fig7" ref-type="fig">Figure 7</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>The weights of the SWOT criteria.</p>
</caption>
<graphic xlink:href="fsufs-07-1199368-g007.tif"/>
</fig>
<p>In the next step, the weights of the individual sub criteria in formulating strategies for stabilizing the livelihood of smallholders through non-farm activities were estimated (<xref rid="tab5" ref-type="table">Table 5</xref>). According to the results, the most important factors underpinning the development and formulation of strategies for stabilizing the livelihood of smallholders through non-farm activities included &#x201C;lower dependence on climate and weather conditions than the agricultural sector&#x201D; among strengths, &#x201C;capital-intensiveness of most non-farm businesses&#x201D; among weaknesses, &#x201C;the helplessness of the smallholder agriculture sector in supplying rural livelihood&#x201D; among opportunities, and &#x201C;lack of expertise of most villagers to get involved in non-farm businesses&#x201D; among threats.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>The ranking of the sub criteria studied for the development of strategies for stabilizing the livelihood of smallholders.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Criteria</th>
<th align="center" valign="top">RW</th>
<th align="center" valign="top">Sub-criteria</th>
<th align="center" valign="top">RP</th>
<th align="center" valign="top">TP</th>
<th align="center" valign="top">IR</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="8">Strengths</td>
<td align="center" valign="middle" rowspan="8">0.391</td>
<td align="center" valign="top">S1</td>
<td align="center" valign="top">0.062</td>
<td align="center" valign="top">0.024</td>
<td align="center" valign="middle" rowspan="8">0.08</td>
</tr>
<tr>
<td align="center" valign="top">S2</td>
<td align="center" valign="top">0.335</td>
<td align="center" valign="top">0.131</td>
</tr>
<tr>
<td align="center" valign="top">S3</td>
<td align="center" valign="top">0.054</td>
<td align="center" valign="top">0.021</td>
</tr>
<tr>
<td align="center" valign="top">S4</td>
<td align="center" valign="top">0.075</td>
<td align="center" valign="top">0.029</td>
</tr>
<tr>
<td align="center" valign="top">S5</td>
<td align="center" valign="top">0.213</td>
<td align="center" valign="top">0.083</td>
</tr>
<tr>
<td align="center" valign="top">S6</td>
<td align="center" valign="top">0.030</td>
<td align="center" valign="top">0.012</td>
</tr>
<tr>
<td align="center" valign="top">S7</td>
<td align="center" valign="top">0.145</td>
<td align="center" valign="top">0.057</td>
</tr>
<tr>
<td align="center" valign="top">S8</td>
<td align="center" valign="top">0.085</td>
<td align="center" valign="top">0.033</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="8">Weaknesses</td>
<td align="center" valign="middle" rowspan="8">0.276</td>
<td align="center" valign="top">W1</td>
<td align="center" valign="top">0.305</td>
<td align="center" valign="top">0.084</td>
<td align="center" valign="middle" rowspan="8">0.09</td>
</tr>
<tr>
<td align="center" valign="top">W2</td>
<td align="center" valign="top">0.122</td>
<td align="center" valign="top">0.034</td>
</tr>
<tr>
<td align="center" valign="top">W3</td>
<td align="center" valign="top">0.092</td>
<td align="center" valign="top">0.025</td>
</tr>
<tr>
<td align="center" valign="top">W4</td>
<td align="center" valign="top">0.096</td>
<td align="center" valign="top">0.026</td>
</tr>
<tr>
<td align="center" valign="top">W5</td>
<td align="center" valign="top">0.042</td>
<td align="center" valign="top">0.012</td>
</tr>
<tr>
<td align="center" valign="top">W6</td>
<td align="center" valign="top">0.180</td>
<td align="center" valign="top">0.050</td>
</tr>
<tr>
<td align="center" valign="top">W7</td>
<td align="center" valign="top">0.133</td>
<td align="center" valign="top">0.037</td>
</tr>
<tr>
<td align="center" valign="top">W8</td>
<td align="center" valign="top">0.030</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="8">Opportunities</td>
<td align="center" valign="middle" rowspan="8">0.195</td>
<td align="center" valign="top">O1</td>
<td align="center" valign="top">0.240</td>
<td align="center" valign="top">0.047</td>
<td align="center" valign="middle" rowspan="8">0.07</td>
</tr>
<tr>
<td align="center" valign="top">O2</td>
<td align="center" valign="top">0.224</td>
<td align="center" valign="top">0.044</td>
</tr>
<tr>
<td align="center" valign="top">O3</td>
<td align="center" valign="top">0.123</td>
<td align="center" valign="top">0.024</td>
</tr>
<tr>
<td align="center" valign="top">O4</td>
<td align="center" valign="top">0.199</td>
<td align="center" valign="top">0.039</td>
</tr>
<tr>
<td align="center" valign="top">O5</td>
<td align="center" valign="top">0.088</td>
<td align="center" valign="top">0.017</td>
</tr>
<tr>
<td align="center" valign="top">O6</td>
<td align="center" valign="top">0.054</td>
<td align="center" valign="top">0.011</td>
</tr>
<tr>
<td align="center" valign="top">O7</td>
<td align="center" valign="top">0.042</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="center" valign="top">O8</td>
<td align="center" valign="top">0.029</td>
<td align="center" valign="top">0.006</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="8">Threats</td>
<td align="center" valign="middle" rowspan="8">0.138</td>
<td align="center" valign="top">T1</td>
<td align="center" valign="top">0.213</td>
<td align="center" valign="top">0.029</td>
<td align="center" valign="middle" rowspan="8">0.09</td>
</tr>
<tr>
<td align="center" valign="top">T2</td>
<td align="center" valign="top">0.166</td>
<td align="center" valign="top">0.023</td>
</tr>
<tr>
<td align="center" valign="top">T3</td>
<td align="center" valign="top">0.086</td>
<td align="center" valign="top">0.012</td>
</tr>
<tr>
<td align="center" valign="top">T4</td>
<td align="center" valign="top">0.062</td>
<td align="center" valign="top">0.009</td>
</tr>
<tr>
<td align="center" valign="top">T5</td>
<td align="center" valign="top">0.253</td>
<td align="center" valign="top">0.035</td>
</tr>
<tr>
<td align="center" valign="top">T6</td>
<td align="center" valign="top">0.054</td>
<td align="center" valign="top">0.007</td>
</tr>
<tr>
<td align="center" valign="top">T7</td>
<td align="center" valign="top">0.107</td>
<td align="center" valign="top">0.015</td>
</tr>
<tr>
<td align="center" valign="top">T8</td>
<td align="center" valign="top">0.058</td>
<td align="center" valign="top">0.008</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec16">
<label>4.3.</label>
<title>Analysis of the strategic space of the development of strategies for stabilizing the livelihood of smallholders</title>
<p>The results of the analysis of the strategic space of the development of strategies for stabilizing the livelihood of smallholders through non-farm activities revealed that strengths (0.391) were more important than weaknesses (0.276) in the internal environment and that opportunities (0.195) were more important than threats (0.138) in the external environment. Also, it was found that internal challenges (S&#x2009;+&#x2009;W&#x2009;=&#x2009;0.667) were more important than external challenges (O&#x2009;+&#x2009;T&#x2009;=&#x2009;0.333) in developing livelihood stabilization strategies. The beneficial environment (O&#x2009;+&#x2009;S&#x2009;=&#x2009;0.586) was also found to dominate the risky environment (T&#x2009;+&#x2009;W&#x2009;=&#x2009;0.414) (<xref rid="tab4" ref-type="table">Table 4</xref>; <xref rid="fig8" ref-type="fig">Figure 8</xref>).</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>The status of the fourfold points of SWOT.</p>
</caption>
<graphic xlink:href="fsufs-07-1199368-g008.tif"/>
</fig>
<p>According to the ranking of the strategic zones, the first strategy is based on ST, i.e., the contingency strategy (max-min). This strategy tries to take advantage of the strengths to cope with the threats. It aims to maximize the strengths for tackling all threats. However, caution should be exercised in this strategy because the improper use of power can have undesirable effects. The second strategy is SO, i.e., the aggressive strategy (max-max) in which the whole system pursues a situation in which it can maximize both its strengths and opportunities. In these conditions, the organization aims to use its strengths for grasping the existing opportunities. The third strategy is based on WT, which is the defensive strategy (min-min). This strategy, which is also called the &#x201C;survival strategy,&#x201D; is based on reducing the existing weaknesses in order to cope with the threats. Finally, the last strategy is based on WO, i.e., the adaptive strategy (min-max) which tries to reduce weaknesses in order to maximize the use of the existing opportunities. For example, an organization may detect some opportunities in its external environment, but cannot grasp them due to its weaknesses. In these conditions, the adaptive strategy can help take advantage of the opportunities (<xref rid="fig9" ref-type="fig">Figure 9</xref>).</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>The analysis of the strategy space.</p>
</caption>
<graphic xlink:href="fsufs-07-1199368-g009.tif"/>
</fig>
</sec>
<sec id="sec17">
<label>4.4.</label>
<title>Developing and ranking livelihood stabilization strategy using the TOWS matrix</title>
<p>In this step, the strategic TOWS matrix was used to develop strategies for stabilizing the livelihood of smallholders through non-farm activities. The results are presented in <xref rid="tab3" ref-type="table">Table 5</xref>. Accordingly, some strategies were developed for each zone. The result was 20 strategies for stabilizing the livelihood of smallholders through non-farm activities.</p>
<p><xref rid="tab6" ref-type="table">Table 6</xref> presents the pairwise comparisons and the final weights of the factors at four strategic levels. It also specifies the sub criteria used in each strategy. According to the results, the most important strategies included &#x201C;establishing and developing greenhouse cultivation based on the crop patterns considering the relative advantages of the villages&#x201D; and &#x201C;establishing microcredit foundations and funds to support the youth in getting involved in rural non-farm businesses,&#x201D; and the weakest ones included &#x201C;facilitating the process of issuing work permits for rural non-farm businesses&#x201D; and &#x201C;improving and developing infrastructure and general facilities in villages for facilitating the involvement of investors in rural non-farm entrepreneurship.&#x201D;</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>The ranking of the strategies for stabilizing the livelihood of smallholders through non-farm activities.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Strategies</th>
<th align="left" valign="top">Sub-criteria used for each strategy</th>
<th align="center" valign="top">TW</th>
<th align="center" valign="top">Rank</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">SO5</td>
<td align="left" valign="top">S1, S2, S3, S4, S5, S7, S8, O1, O2, O3, O4, O6, O7, O8</td>
<td align="center" valign="top">0.067</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">SO3</td>
<td align="left" valign="top">S1, S2, S3, S4, S5, S7, S8, O1, O2, O3, O4, O5, O8</td>
<td align="center" valign="top">0.064</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top">SO1</td>
<td align="left" valign="top">S1, S2, S3, S4, S5, S6, S7, S8, O1, O2, O3, O4, O5, O8</td>
<td align="center" valign="top">0.060</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top">SO2</td>
<td align="left" valign="top">S1, S2, S3, S4, S5, S6, S7, S8, O1, O2, O5, O8</td>
<td align="center" valign="top">0.035</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">SO4</td>
<td align="left" valign="top">S1, S3, S4, S5, S7, S8, O4, O5, O6, O7</td>
<td align="center" valign="top">0.018</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top">WO5</td>
<td align="left" valign="top">W1, W2, W4, W6, W7, O1, O3, O4, O5, O6, O7, O8</td>
<td align="center" valign="top">0.036</td>
<td align="center" valign="top">6</td>
</tr>
<tr>
<td align="left" valign="top">WO2</td>
<td align="left" valign="top">W1, W2, W4, W5, W7, O1, O2, O3, O4, O8</td>
<td align="center" valign="top">0.030</td>
<td align="center" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top">WO1</td>
<td align="left" valign="top">W1, W2, W3, W6, O1, O2, O3, O4, O5, O8</td>
<td align="center" valign="top">0.029</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">ST6</td>
<td align="left" valign="top">S1, S2, S3, S4, S5, S6, S7, S8, T5, T7, T8</td>
<td align="center" valign="top">0.022</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">ST3</td>
<td align="left" valign="top">S3, S4, S5, S7, T1, T2, T3, T4, T5, T6, T7, T8</td>
<td align="center" valign="top">0.0205</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">ST2</td>
<td align="left" valign="top">S1, S3, S4, S5, S6, S7, T3, T5, T7, T8</td>
<td align="center" valign="top">0.0158</td>
<td align="center" valign="top">11</td>
</tr>
<tr>
<td align="left" valign="top">WT1</td>
<td align="left" valign="top">W2, W3, W4, W5, W6, W7, W8, T2, T3, T4, T6, T7, T8</td>
<td align="center" valign="top">0.0142</td>
<td align="center" valign="top">12</td>
</tr>
<tr>
<td align="left" valign="top">WO3</td>
<td align="left" valign="top">W1, W4, W5, W7, O3, O4, O5, O8</td>
<td align="center" valign="top">0.0136</td>
<td align="center" valign="top">13</td>
</tr>
<tr>
<td align="left" valign="top">ST1</td>
<td align="left" valign="top">S3, S4, S5, S6, S7, T2, T5, T8</td>
<td align="center" valign="top">0.0133</td>
<td align="center" valign="top">14</td>
</tr>
<tr>
<td align="left" valign="top">WT2</td>
<td align="left" valign="top">W2, W3, W5, W6, W7, W8, T4, T5, T6, T7, T8</td>
<td align="center" valign="top">0.0122</td>
<td align="center" valign="top">15</td>
</tr>
<tr>
<td align="left" valign="top">ST4</td>
<td align="left" valign="top">S1, S2, S3, S4, S5, S6, S7, S8, T4, T7</td>
<td align="center" valign="top">0.009</td>
<td align="center" valign="top">16</td>
</tr>
<tr>
<td align="left" valign="top">WO4</td>
<td align="left" valign="top">W2, W3, W5, W6, W7, W8, O5, O6, O7, O8</td>
<td align="center" valign="top">0.0069</td>
<td align="center" valign="top">17</td>
</tr>
<tr>
<td align="left" valign="top">WT3</td>
<td align="left" valign="top">W1, W4, W7, T4, T6, T7</td>
<td align="center" valign="top">0.004</td>
<td align="center" valign="top">18</td>
</tr>
<tr>
<td align="left" valign="top">ST5</td>
<td align="left" valign="top">S1, S3, S4, T1, T4, T7</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">19</td>
</tr>
<tr>
<td align="left" valign="top">WT4</td>
<td align="left" valign="top">W4, W5, W7, T2, T3, T4</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">20</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussions" id="sec18">
<label>5.</label>
<title>Discussion</title>
<p>While some researchers (e.g., <xref ref-type="bibr" rid="ref41">Markakis, 2004</xref>; <xref ref-type="bibr" rid="ref34">Kinuthia and Wahome, 2019</xref>) argue that livelihood that is based on traditional farming and ranching is being ruined, others (e.g., <xref ref-type="bibr" rid="ref18">Freier et al., 2012</xref>; <xref ref-type="bibr" rid="ref15">Dehghanipour et al., 2018</xref>; <xref ref-type="bibr" rid="ref68">Su et al., 2019</xref>; <xref ref-type="bibr" rid="ref56">Savari et al., 2022</xref>) have investigated the reasons for the susceptibility of livelihood to external disruptions such as climate change and suggested that households are capable enough of achieving sustainable livelihood by the sound use of their capitals and the adoption of a suitable livelihood strategy (<xref ref-type="bibr" rid="ref54">Savari and Shokati Amghani, 2019</xref>). Therefore, to retain the sustainability of their livelihood over time, households select their livelihood based on a combination of their capital (<xref ref-type="bibr" rid="ref905">Jiao et al., 2017</xref>; <xref ref-type="bibr" rid="ref908">Rockenbauch et al., 2019</xref>; <xref ref-type="bibr" rid="ref909">Zhang and Fang, 2020</xref>).</p>
<p>It is worth noting that so far various strategies have been proposed for the supply of sustainable livelihood at the international level. A famous example is the formation of the Committee on Sustainable Development Goals by 193 UN member states in 2015, which aims to eradicate poverty from the world (<xref ref-type="bibr" rid="ref19">Fritz et al., 2009</xref>; <xref ref-type="bibr" rid="ref13">Christiaensen et al., 2013</xref>). There are, however, diverse barriers to achieving sustainable livelihood, which prevent the stabilization of farmers&#x2019; livelihood. An example is the seasonality of farm activities, making farmers dependent on seasonal and atmospheric changes, which is a big challenge to supplying their livelihood. In this respect, non-farm activities will be the most suitable complementary or alternative strategy (<xref ref-type="bibr" rid="ref1">Abdollahzadeh et al., 2016</xref>). Also, the extensive climate change of recent decades has exposed the agricultural sector to multiple challenges, such as global warming, landslides, land subsidence, natural disasters like floods, fires, forest and pasture fires, drought, the invasion of plant diseases and pests like grasshoppers, and the salinization of groundwater resources and soils (<xref ref-type="bibr" rid="ref72">World Bank, 2021</xref>; <xref ref-type="bibr" rid="ref52">Savari et al., 2023a</xref>,<xref ref-type="bibr" rid="ref51">b</xref>). Indeed, Iranian researchers have projected that the annual mean temperature in different parts of Iran will increase by 3.5&#x2013;4.5&#x00B0;C whereas the mean annual precipitation will decrease by 7&#x2013;14% by 2051. These changes will also be more extreme as one moves from the west to the east and from the north to the south. The temperature rise extends the agricultural growing season due to the increase in the number of frost-free days. The decline in precipitation will also increase dry season duration in a range from about 20&#x2009;days in the western regions to over 30&#x2009;days in the southern regions, which is of higher importance in rainfed cultivation areas. The temperature rise will also increase annual potential evapotranspiration by 18&#x2013;30% by 2051. This will widen the difference between the precipitation rate and potential evapotranspiration, i.e., the precipitation shortage index, which will be mainly related to the increase in evapotranspiration (<xref ref-type="bibr" rid="ref35">Koocheki et al., 2015</xref>). Considering the serious threats of water scarcity, drought has drawn scientists&#x2019; attention in recent decades. Research around the world shows that this crisis has already started in China, Africa, India, Thailand, Mexico, Egypt, and Iran and the major rivers of the world including the Nile in Egypt, the Ganges in South Asia, the Yellow River in China, and the Colorado River in the US have seriously been threatened. Even, the water reserves of the 11 main rivers of the UK have decreased to one-third (<xref ref-type="bibr" rid="ref71">Wines, 2014</xref>). In addition to the water loss of the rivers, the water resources of numerous lakes and inland and outland wetlands have already been dried completely or depleted severely. Examples include Lake Urmia, Bakhtegan Lake, Arzhan Lake, Tashk Lake, Parishan Lake, and Hamun Wetland in Iran, Poop&#x00F3; Lake in Bolivia, Colorado Lake in the US, the Aral Sea on the borderline of Kazakhstan and Uzbekistan, Lake Powell, Lake Chad, and many others, which have now no water, deeply challenging the life of humans, animals, and plants and consequently jeopardizing the supply of sustainable livelihood for local people (<xref ref-type="bibr" rid="ref38">Lak et al., 2011</xref>). Accordingly, climate change is one of the most fundamental challenges of human communities, in addition to its effect on people&#x2019;s livelihoods. Drought, as one of the most important and costly climatic phenomena, has affected the livelihood of rural households by imposing more economic and social harms in arid regions (<xref ref-type="bibr" rid="ref43">Nasrnia and Ashktorab, 2021</xref>). On the other hand, the partial and overall productivity of the agricultural sector has diminished and it cannot adapt to technological developments either because of the loss of agricultural lands due to land-use changes and the fragmentation of agricultural fields. So, the burden on the agricultural sector should be reduced by transferring surplus farmers to the industrial sector. In this regard, FAO statistics show that the agricultural land area has decreased from 1961 to 2019 (<xref ref-type="bibr" rid="ref17">FAOSTAT, 2021</xref>). The data of the International Labor Organization regarding the share of the agricultural sector in total employment at the international level also reveals the fact that this sector is no longer capable of supplying the livelihood of the target community due to the challenges in exploiting basic production resources. Indeed, the share of this sector in global employment has decreased from 40% in 2000 to 28% in 2020 (<xref ref-type="bibr" rid="ref29">ILOSTAT, 2021</xref>). Similarly, the agricultural sector has been the only sector with a negative growth rate (&#x2212;3.9) in Iran based on a report of the national economic growth rate in the 9&#x2009;months of 2021 provided by the Statistical Center of Iran. Unlike the agricultural sector, we are witnessing 7.1 and 5.1% economic growth rates in the industrial and service sectors, respectively, reflecting potential investment opportunities in these sectors at the national and rural levels (<xref ref-type="bibr" rid="ref67">Statistical Center of Iran, 2022</xref>).</p>
<p>This research pursued two general objectives: (1) examining the status of the strategic environment of sustainable livelihood of smallholders through non-farm activities and (2) developing strategies for sustainable livelihood of smallholders through non-farm activities. So, the results can help countries that face the unsustainability of smallholders&#x2019; livelihoods to stabilize their livelihood by adopting these strategies. Furthermore, since no combined research has been conducted on our subject matter yet, the present research can contribute to the literature and fill the gap in previous studies.</p>
<p>In this research, we used the combined SWOT-AHP-TOWS index to specify the strategic status of smallholders&#x2019; livelihood sustainability through non-farm activities. In the SWOT analysis, the measured weights of the factors are typically used to determine their effect on the strategy choices. The SWOT analysis does not provide the relative importance of the criteria in a systematic way and acts upon the examination of the decision alternatives in terms of the criteria. To cope with this shortage, the SWOT framework (conceptual model) is converted into a hierarchical structure, the model is integrated, and the AHP is used for analysis by calculating their eigenvalues. By integrating the AHP into the SWOT framework, it is intended to systematically rank the SWOT factors in terms of their importance (<xref ref-type="bibr" rid="ref49">Savari and Amghani, 2022</xref>).</p>
<p>The assessment of the internal points (strengths and weaknesses) revealed that the most important strength in stabilizing the livelihood of smallholders through non-farm activities was &#x201C;lower dependence on climate and weather conditions than the agricultural sector.&#x201D; Regarding this finding, it can be inferred that agriculture is a high-risk activity as farmers are faced with various types of climatic risks, pests, diseases, market risks, and raw material risks (<xref ref-type="bibr" rid="ref64">Skees et al., 1999</xref>), whereas the diversity and severity of these risks are lower in non-farm activities. In other words, a wide range of risks influences farm income (<xref ref-type="bibr" rid="ref75">Zhang et al., 2023</xref>), such as production risk, price or market risk, financial risk, and human risk. These risks vary in role and importance in different regions depending on the temporal and spatial conditions and government policies (<xref ref-type="bibr" rid="ref5">Bielza et al., 2008</xref>). It should be noted that drought and severe heat (e.g., heat waves) among extreme conditions can be unbelievably destructive with extensive effects on different agricultural sectors, so they may lead to natural disasters and draw public attention. With the increase in the mean global temperature, the frequency and intensity of droughts and extreme heat have increased and are expected to keep increasing, posing plenty of risks to different sectors, including agriculture (<xref ref-type="bibr" rid="ref40">Leng et al., 2015</xref>; <xref ref-type="bibr" rid="ref12">Chen et al., 2018</xref>; <xref ref-type="bibr" rid="ref14">Dai et al., 2020</xref>; <xref ref-type="bibr" rid="ref25">Han et al., 2021</xref>).</p>
<p>The results of the internal assessment of the research also showed that the most important weakness in stabilizing the livelihood of smallholders through non-farm activities was &#x201C;capital-intensiveness of most non-farm businesses.&#x201D; It can be interpreted that non-farm businesses are mostly of industrial type and sometimes need capital-intensive industrial manufacturing instruments that are unaffordable by rural households (<xref ref-type="bibr" rid="ref8">Bordoloi, 2017</xref>, <xref ref-type="bibr" rid="ref9">2020</xref>). For example, a study in Bangladesh reported capital shortage as a key barrier to developing the rural non-farm sector (<xref ref-type="bibr" rid="ref48">Rahbari et al., 2017</xref>).</p>
<p>Regarding the external points, &#x201C;the helplessness of the smallholder agriculture sector in supplying rural livelihood&#x201D; among the opportunities and &#x201C;lack of expertise of most villagers to get involved in non-farm businesses&#x201D; among the threats were the most important external factors influencing the development of strategies for stabilizing the livelihood of smallholders through non-farm activities. According to this finding, although the helplessness of the agricultural sector in supplying rural livelihood is by itself a threat to the community of smallholders, it can be an opportunity for entering into rural non-farm employment. There is a consensus in the literature of development studies that agriculture will fail to provide &#x201C;productive employment&#x201D; for the growing surplus rural population in the future decades. Here, the concept of &#x201C;productive&#x201D; employment can be well considered as achieving full and productive employment for all, including people in economically active age groups and women, as a part of the US 2030 agenda for sustainable development (<xref ref-type="bibr" rid="ref69">United Nations, 2015</xref>). It is argued that despite the significant growth of agricultural production in several developing countries due to technological innovations, the capacity of the agricultural sector for workforce recruitment has not been satisfactory, especially in regions with inappropriate <italic>per capita</italic> land area and high rural population density (<xref ref-type="bibr" rid="ref39">Lanjouw and Lanjouw, 1995</xref>; <xref ref-type="bibr" rid="ref63">Simmons and Supri, 1997</xref>; <xref ref-type="bibr" rid="ref4">Bhalla, 2005</xref>). Thus, a good deal of attention has been paid to the rural non-farm sector (RNFS) in the academic literature and in development planning and policy circles (<xref ref-type="bibr" rid="ref9">Bordoloi, 2020</xref>). RNFS is an alternative for rural development in creating non-farm job opportunities in rural areas.</p>
<p>Regarding the lack of expertise among rural people to start non-farm businesses as a threat to stabilizing the livelihood of smallholders, it cannot be inferred that non-farm businesses are ambiguous, complicated, and unfamiliar for rural people because they did not use to exist in rural areas. So, most rural people have no adequate knowledge to get involved in non-farm businesses, and this is an obstacle to entering into this sector (<xref ref-type="bibr" rid="ref48">Rahbari et al., 2017</xref>).</p>
<p>The analysis of the strategic space of the development of strategies for stabilizing the livelihood of smallholders through non-farm activities revealed that the strengths were more important than the weaknesses in the internal space and the opportunities were more important than the threats in the external space. Also, it was found that internal challenges are more important than external challenges in developing livelihood stabilization strategies. According to these results, the beneficial space dominates the risky environment. So, policymakers need to address the weaknesses and threats that threaten smallholders by adopting important policies as soon as possible as it will help farmers to stabilize their livelihood by promoting their strengths, alleviating their weaknesses, coping with the threats, and grasping the opportunities (<xref ref-type="bibr" rid="ref55">Savari and Shokati Amghani, 2021</xref>; <xref ref-type="bibr" rid="ref49">Savari and Amghani, 2022</xref>).</p>
<p>Finally, drawing on the TOWS matrix, the research developed 20 strategies for stabilizing the livelihood of smallholders through non-farm activities. The results in this section showed that the two strategies of &#x201C;establishing and developing greenhouse cultivation based on the crop patterns considering the relative advantages of the villages&#x201D; and &#x201C;establishing microcredit foundations and funds to support the youth in getting involved in rural non-farm businesses&#x201D; were the most important strategies for stabilizing the livelihood of smallholders through non-farm activities. In this regard, policymakers are recommended to take the strategies developed for livelihood stabilization seriously. Also, the following policies are recommended:</p>
<list list-type="bullet">
<list-item><p>Changing the approach of government support in the field of granting microcredits to smallholders: increasing production by providing credits and empowering smallholding units, and consequently, increasing employment and bringing economic balance between the agricultural and non-agricultural sectors.</p></list-item>
<list-item><p>Developing infrastructural facilities and service: empowering the electricity grid in rural centers, facilitating the issuing of industrial power permits to the rural industrial activists, modifying roads and streets inside the rural areas, modifying roads connecting the farms, developing and expanding Internet access in rural areas, and developing warehouses and cold storage in central rural areas to preserve farm and non-farm products.</p></list-item>
<list-item><p>Education: the development of non-farm employment requires suitable extension and educational programs. In this regard, it is necessary to provide technical and professional training for which governmental and non-governmental extension and educational institutions can be effective in developing non-farm employment because the certificates issued by the Technical and Professional Centers can be used to receive work permits and loans from the banking system.</p></list-item>
</list>
</sec>
<sec id="sec19">
<label>6.</label>
<title>Conclusion and Limitations</title>
<p>The purpose of the current study was to develop strategies for stabilizing the livelihood of smallholders through non-farm activities in four provinces of Alborz, Guilan, Hormozgan, and Yazd in Iran. To this end, the TOWS matrix was used, and 20 strategies were developed.</p>
<p>The main conclusion to be drawn from this study was the weights of the SWOT criteria were specified by their pairwise comparison. Based on the results, the strengths and weaknesses whose weights were 0.391 and 0.276, respectively had the greatest impact on the development of strategies for stabilizing the livelihood of smallholders through non-farm activities. Therefore, it is concluded that strengths can have the greatest impact in Developing strategies for stabilizing the livelihood of smallholder farmers through non-farm activities. Considering that the strengths are internal factors, it is possible to change and improve them in order to deal with the threats and also take maximum advantage of the opportunities. According to the ranking of the strategic zones, the first strategy is based on ST, i.e., the contingency strategy (max-min). This strategy tries to take advantage of the strengths to cope with the threats. It aims to maximize the strengths for tackling all threats. However, caution should be exercised in this strategy because the improper use of power can have undesirable effects. This study showed that presents the pairwise comparisons and the final weights of the factors at four strategic levels. It also specifies the sub criteria used in each strategy. The most obvious finding to emerge from this study was that, the most important strategies included &#x201C;establishing and developing greenhouse cultivation based on the crop patterns considering the relative advantages of the villages&#x201D; and &#x201C;establishing microcredit foundations and funds to support the youth in getting involved in rural non-farm businesses,&#x201D; and the weakest ones included &#x201C;facilitating the process of issuing work permits for rural non-farm businesses&#x201D; and &#x201C;improving and developing infrastructure and general facilities in villages for facilitating the involvement of investors in rural non-farm entrepreneurship.&#x201D;</p>
<p>In this research, it is true that we achieved valuable results that showed that non-agricultural activities can play an effective role in stabilizing the livelihood of smallholder farmers, but the important point is that the policymaking of non-agricultural activities is carried out in a separate organization from the agricultural organization. Unfortunately, they have no interaction or cooperation with each other. Even in some cases, these two organizations have a conflict of interest with each other. A clear example of that is agricultural land use change for the development of rural tourism. Therefore, countries will succeed in stabilizing farmers&#x2019; livelihoods through non-farm activities if all matters related to sustainable rural development, including agricultural development and rural non-farm development, are planned and politicized through a single organization. Therefore, the feasibility of forming a rural development organization consisting of two agricultural and non-agricultural sectors can be considered by other researchers as future research.</p>
<p>Despite its important results, the research suffers from two limitations. First, it was conducted only in four Iranian provinces of Alborz, Guilan, Hormozgan, and Yazd, so we should be cautious in generalizing its results to other regions. Second, it was single-sectional in time. It is considerable that this research was conducted at a time when the entire country of Iran was involved in the COVID-19 epidemic, and for this reason, access to farmers and experts was very difficult.</p>
</sec>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="sec21">
<title>Ethics statement</title>
<p>Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent from the participants was not required to participate in this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="sec22">
<title>Author contributions</title>
<p>JB, MSS, MSA, and AN contributed to the study&#x2019;s conception and design. Material preparation, data collection, and analysis were performed by JB, MSS, MSA, and AN. The first draft of the manuscript was written by MSS. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="sec23">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ref-list>
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