Agricultural Economics
hasan Mehmandoost; Alireza Sargazi; Alireza Keikha; Saman Ziaee; Alireza sani heidari
Abstract
The research investigates the capacities and factors influencing the development of entrepreneurship in rural areas of Hamoun County. Given the significance of entrepreneurship in generating employment, reducing poverty, and enhancing the quality of life in rural regions, identifying and analyzing key ...
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The research investigates the capacities and factors influencing the development of entrepreneurship in rural areas of Hamoun County. Given the significance of entrepreneurship in generating employment, reducing poverty, and enhancing the quality of life in rural regions, identifying and analyzing key factors in this domain is essential. The study employed stratified random sampling, involving 278 entrepreneurs and individuals active in rural business sectors. The influential factors on entrepreneurship development were categorized into six main dimensions: human and individual factors, infrastructural, cultural, economic, and social. Data analysis utilized factor analysis and ordered logit modeling. The results from the factor analysis indicated that "government support and subsidies for production," "income," and "diversification of rural products" significantly contribute to the economic dimension of rural entrepreneurship development. In terms of cultural and social aspects, factors such as "experience," "consultation and support services," "awareness level," and "interest in village improvement" played a crucial role. For infrastructural factors, "access to services and facilities" and "access to a dynamic rural environment" were found to be pivotal in explaining overall variance. Lastly, individual factors like "motivation," "education," "psychological resilience," and "management creativity" were identified as significant contributors to this dimension. Additionally, the results from the ordered logit model revealed that among the influencing factors and barriers to entrepreneurship development, economic, cultural and social, institutional and educational, as well as infrastructural factors had a significant positive effect. Conversely, economic barriers and social obstacles negatively impacted the likelihood of individuals achieving high levels of entrepreneurial motivation. This research provides critical insights for policymakers, suggesting that they should prioritize determining factors for rural entrepreneurship development in their programs. Furthermore, it is recommended that policymakers reduce barriers to rural entrepreneurship and investment risks through subsidized support, low-interest loans, and micro-insurance funds.This research investigates the capacities and factors influencing entrepreneurship development in the rural areas of Hamun County. Given the importance of entrepreneurship in creating employment, reducing poverty, and improving the quality of life in rural regions, identifying and analyzing key factors in this context is essential. The significance of rural entrepreneurship lies not only in its potential to stimulate local economies but also in its ability to foster social cohesion and community development. As highlighted by Petrin (1992), entrepreneurship serves as a central force for economic growth in rural areas, and without it, other developmental efforts may prove ineffective. Thus, understanding the dynamics of rural entrepreneurship is crucial for policymakers and stakeholders aiming to enhance the livelihoods of rural communities. In light of the challenges and opportunities present in rural entrepreneurship, this article aims to identify effective factors influencing entrepreneurial development while reviewing existing literature. By categorizing these factors into human and individual, infrastructural, cultural, economic, and social dimensions, the study seeks to provide a comprehensive analysis that can inform future initiatives aimed at strengthening entrepreneurship in these areas. The findings are expected to offer practical recommendations for enhancing the entrepreneurial ecosystem in Hamun County. Materials and MethodsThe present study utilized a stratified random sampling method, involving 278 entrepreneurs and individuals active in rural business sectors. The research categorized influential factors into six primary groups: human and individual factors, infrastructural factors, cultural factors, economic factors, and social factors. Data analysis was conducted using Stata and Excel software to model relationships among these variables effectively. This structured approach allows for a nuanced understanding of how different factors contribute to or hinder entrepreneurial development in rural contexts. Results and DiscussionThe results indicate that "government support and subsidies for production," "income," and "diversification of rural products" play significant roles in explaining and influencing entrepreneurial behavior from an economic development perspective. In terms of cultural and social aspects, "experience," "consultation and support services," "awareness levels," and "interest in village improvement" were found to have substantial impacts on entrepreneurial behavior. From an infrastructural standpoint, "access to services and facilities" along with "access to a dynamic rural environment" emerged as critical determinants explaining the variance among extracted factors. Furthermore, regarding individual aspects of entrepreneurial development, findings revealed that "motivation," "education," "psychological resilience," and "management creativity" significantly contribute to explaining variations in behavior among entrepreneurs. The results indicated that among various influencing factors on entrepreneurship development, economic factors, cultural and social factors, institutional and educational factors, as well as infrastructural factors had positive and significant effects on the likelihood of individuals achieving high levels of entrepreneurial motivation. ConclusionAmong the identified indicators, government support and subsidies for production had a more substantial impact on income levels while diversification of rural products significantly influenced entrepreneurial behavior from an economic development perspective. In terms of cultural and social dimensions, experience, consultation services, awareness levels, and interest in village improvement were crucial for explaining variations in entrepreneurial behavior. From an infrastructural perspective, access to services and facilities alongside access to a dynamic rural environment played a decisive role in explaining the variance among extracted factors. Finally, individual development aspects revealed that motivation, education, psychological resilience, and management creativity significantly contributed to variations in behavior among entrepreneurs. The findings suggest that within the studied villages—specifically Mohammadabad, Ali Akbar Town, Dek Dehmardeh Town, Sanjoli Town, Mir Town, Bandei Town, and Kermani—there are ideal conditions for entrepreneurship compared to other assessed villages. Furthermore, using an ordered logit model revealed that economic indicators along with cultural-social factors significantly influence individuals' motivations for entrepreneurship. This expanded introduction provides a comprehensive overview of your research topic while highlighting its significance within the broader context of rural entrepreneurship development.Keywords: Entrepreneurship Development, Factor Analysis, Ordered Logit, Rural Areas, Hamun County
Agricultural Economics
Shirin Zarif Moradian; mahmoud daneshvar; mahmoud sabouhi sabouni
Abstract
One of the essential goals of societies, primarily developing and underdeveloped countries, is to eradicate poverty and achieve sustainable development. As vulnerable individuals in various communities increasingly face various economic, environmental, and political challenges, governments and policymakers' ...
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One of the essential goals of societies, primarily developing and underdeveloped countries, is to eradicate poverty and achieve sustainable development. As vulnerable individuals in various communities increasingly face various economic, environmental, and political challenges, governments and policymakers' pre-crisis management to increase the productivity of different economic sectors, such as the agricultural sector, is considered inevitable. The efficiency of the farm sector is not only crucial for ensuring food security in the country, but it will also affect the livelihoods, incomes, and resilience of rural smallholders. Given the above, the purpose of this study is to investigate the impact of agricultural support policies on the resilience of rural farmers in the Fariman region. In this regard, The Resilience Index Measurement and Analysis (RIMA) introduced by the FAO has been used to determine the resilience of rural farmers.Additionally, the distribution of subsidized fertilizers to farmers as a common agricultural support policy in the country has been chosen. The impact of this agricultural support policy on the resilience of rural farmers has been estimated using the propensity score matching method in this study. The study area is the Hossein Abad Rekhneh Gol village, located in Fariman County, and the data were collected through documentation and questionnaires. The study results indicate that households eligible to receive subsidized fertilizers have higher resilience on average compared to households that are not eligible. One of the factors that have a significant impact on improving the yield of agricultural products, including wheat, is the use of chemical fertilizers (including nitrogen, phosphorus, and potassium). In the crop year in which the data was collected, these fertilizers were the only subsidized input distributed by the government to farmers. Due to the price difference between subsidized fertilizers and the market, many of the farmers studied who were unable to receive this subsidy due to lack of agricultural water were unable to buy it in the market in cash, too. This can have a significant impact on reducing the yield of their products and consequently affect their resilience. So for the study area, it is recommended that rural smallholders be prioritized in the allocation of subsidized fertilizers, which is constrained by quantity and budget limitations imposed by the government, compared to large-scale farmers. Additionally, the number of agricultural wells available for rent to rural farmers should be increased as much as possible.One of the essential goals of societies, primarily developing countries, is to eradicate poverty and achieve sustainable development. As vulnerable individuals in various communities increasingly face various economic, environmental, and political challenges, governments and policymakers' pre-crisis management to increase the productivity of different economic sectors, such as the agricultural sector, is considered inevitable. The efficiency of the farm sector is not only crucial for ensuring food security in the country, but it will also affect the livelihoods, incomes, and resilience of rural smallholders. Given the above, the purpose of this study is to investigate the impact of agricultural support policies on the resilience of rural farmers in the Fariman region. In this regard, The Resilience Index Measurement and Analysis (RIMA) introduced by the FAO has been used to determine the resilience of rural farmers. Additionally, the distribution of subsidized fertilizers to farmers as a common agricultural support policy in the country has been chosen. The impact of this agricultural support policy on the resilience of rural farmers has been estimated using the propensity score matching method in this study. The study area is the Hossein Abad Rekhneh Gol village, located in Fariman County, and the data were collected through documentation and the use of questionnaires. The study results indicate that households eligible to receive subsidized fertilizers have higher resilience on average compared to households that are not eligible. Based on the research findings for the study area, it is recommended that rural smallholders be prioritized in the allocation of subsidized fertilizers, which is constrained by quantity and budget limitations imposed by the government, compared to large-scale farmers. Additionally, the number of agricultural wells available for rent to rural farmers should be increased as much as possible.Based on the research findings for the study area, it is recommended that rural smallholders be prioritized in the allocation of subsidized fertilizers, which is constrained by quantity and budget limitations imposed by the government, compared to large-scale farmers. Additionally, the number of agricultural wells available for rent to rural farmers should be increased as much as
Agricultural Economics
S.M. Seyedan; M. Motaghed
Abstract
IntroductionEffective measures in grape production and processing are essential for understanding market needs. By leveraging acquired knowledge, products should be aligned with market demand, which requires a thorough understanding and application of the value chain. The value chain is a network of ...
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IntroductionEffective measures in grape production and processing are essential for understanding market needs. By leveraging acquired knowledge, products should be aligned with market demand, which requires a thorough understanding and application of the value chain. The value chain is a network of actors who are involved in the supply, production, processing, marketing, and consumption of a product or service, and its actors seek to realize added value in each of the links of the chain and add value as a whole. It is for the activities that take place along the chain. An efficient value chain plays a key role in reducing poverty and food security in the country and has inherent potential for the development of job opportunities. The benefits of the value chain include reducing production costs, increasing productivity, providing valuable services to farmers, a variety of new services with added value, innovation at a faster speed, creating new circles, creating more jobs, reducing rural poverty, transparency in the price of agricultural products, balance of supply and demand, improvement of quality and health of agricultural products, reduction of product waste, increase of product health quality, increase of real profit, consumer satisfaction, reduction of mediation and brokerage, increase of flexibility power and sustainability in production and export. Materials and MethodsIn this research, data was collected from each agent (link in the chain) using a questionnaire. Various methods exist for analyzing the value chain, with the SWOT analysis (identifying strengths, weaknesses, opportunities, and threats, as well as determining strategic positioning) being the most significant. This method was utilized in the study and will be briefly explained in relation to the SWOT matrix analysis process. However, since the SWOT analytical matrix generates multiple strategies without prioritizing them, the QSPM matrix was employed to establish priorities. This matrix is used in the last stage of strategy development and for selecting and prioritizing strategies. This matrix prioritizes different strategy options according to their attractiveness score. Results and DiscussionIn the present study; 74 components in the template (15 strengths, 23 weaknesses, 19 threats and 17 opportunities) were extracted and categorized. To evaluate the internal factors of the grape value chain with an emphasis on its yield, the internal factors evaluation matrix (IFE) was used. In this matrix, the strengths and weaknesses were listed and scored using special coefficients and ranks to determine the final score of the evaluation of internal factors. The analysis of internal factors revealed a total score of 61.2, indicating that the grape value chain in Hamedan Province is in a strong position. In other words, its internal strengths outweigh its weaknesses. Similarly, the analysis of external factors showed a weighted score of 2.87. Therefore, the grape value chain in Hamedan has an external opportunity. In other words, the opportunities of the grape value chain are more than its threats. Conclusion and SuggestionsTo improve this situation, the raisin value chain model was designed based on observations and research findings. This model is an executive model that has five main actors including 1- Input supply link (without timely supply of inputs and without creating a basis for the development of a competitive environment in this link, one cannot hope for sustainable production and export), 2- The link of grape growers is 3- the circle of packaging and processing factories, 4- the circle of distribution and marketing, and 5- the circle of consumption and communication with customers. This model also has a support link (providing consulting, training, and support services to investors to help create and launch new businesses within the chain) that supports all the links in terms of structure, design, research, training, financial management, and resource management. Humanity supports. These measures attract investment, create employment, develop chain links and growth, and help to achieve the goals of economic and social development of the region. The most significant missing link in the grape value chain is the production and processing of the product under a specialized brand. Establishing these processes is essential for attracting foreign markets. Given the high quality of grapes in Hamedan Province and their potential to compete with international products, it is crucial to transform this potential into reality. This requires the development of high-quality processed products to gain a competitive edge and capture market share from competitors.
Agricultural Economics
Z. Zarei Dastgerdi; Kh. Kalantari; A. Asadi
Abstract
The agricultural sector in developing countries plays an important role in promoting national development and rational policy making and strategic planning to advance the sustainable development of this sector are of main concerns of the relevant institutional actors. In this regard, the current research ...
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The agricultural sector in developing countries plays an important role in promoting national development and rational policy making and strategic planning to advance the sustainable development of this sector are of main concerns of the relevant institutional actors. In this regard, the current research was conducted with the aim of identifying scenarios of sustainable agricultural development in the catchment area of Zayandeh River in Isfahan province. The present research was applied, of descriptive-survey type. The statistical population was experts related to agricultural development in the province. To collect data, library sources, questionnaires and interviews were used. Delphi method and interviews with elites and executives were used to identify the primary components and drivers effective on the sustainable development of agriculture in the Zayandeh River watershed of Isfahan province. The snowball technique was used to select the experts. Finally, 8 key drivers were identified and separated in order to explain the research variables in a strategic format. Based on this, in the section related to the expression of research priorities in two direct and indirect modes, these 8 key factors have been repeated in different priorities. Questionnaires were distributed among 25 experts. In this study, five plausible scenarios were identified for forecasting the future of sustainable agricultural development by considering potential outcomes based on key factors and their similarities or differences across the categories of favorable, static, and critical scenarios. Based on their total scores, which range from 85 to 109, two scenarios were identified as the most likely: one favorable scenario and one critical scenario.
Agricultural Economics
M. Shabanzadeh-Khoshrody; E. Javdan; K. Shemshadi
Abstract
IntroductionDuring the last decade, due to the increase in food prices, the cost of a healthy diet in Iran has greatly increased. Although the government's support policies have aimed at improving the living conditions of households, but the cost and income information of the Iranian Statistics Center ...
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IntroductionDuring the last decade, due to the increase in food prices, the cost of a healthy diet in Iran has greatly increased. Although the government's support policies have aimed at improving the living conditions of households, but the cost and income information of the Iranian Statistics Center shows that due to inflationary conditions and its impact on real income and purchasing power of consumers, these programs have not had the necessary effect in reducing poverty and food insecurity. Reducing poverty and increasing the food security index is a requirement for independent countries like Iran. In this regard, knowing the current situation of poverty, food insecurity and factors influencing it, is not only the main condition for preparing future plans, but is necessary to continue this work with the aim of monitoring and evaluating the results of implemented plans and actions. Materials and MethodsIn the present study, the spatial distribution of poverty and food insecurity in the urban areas of Iran in 1401 has been investigated and then the factors affecting food insecurity have been identified. In order to achieve these goals, the nutritional performance matrix was drawn and calculated per capita calories in 1401 using the household income-expenditure information of Iran Statistics Center. The Aggregate Household Food Security Index (AHFSI) and the Foster, Greere and Thorbeke (FGT) poverty index were calculated and based on these indices, the spatial distribution of poverty and food insecurity in urban areas of Iran was analyzed. Finally, the impact of economic and demographic variables on food insecurity was analyzed in the framework of the logit model. Results and DiscussionAccording to the results, the urban areas of the country are in low food security conditions; so that, only 45% of people have food security and about 55% of the residents of urban areas are either facing food insecurity or are on the border of food insecurity. On the other hand, the per capita calorie intake in the urban areas of the country is 2540 kcal, and generally these calories are supplied from cereals. In addition, there is inequality in the intake of calories in different provinces of the country, and the average intake of calories varies between 1988-3196 kcal among the provinces. Examining the status of food poverty indicators also shows that the average head count, gap and intensity of poverty in urban areas are 55.1%, 15.2% and 6% respectively. Based on these indicators, it can be said that 55.1% of the population of the urban areas of the country had food poverty in 1401 and the calorie intake of the poor households in these areas was 15.2% less than the minimum required daily calories; therefore, to eliminate poverty, the caloric intake of poor households should be increased by 15.2%. Finally, the results of the logit model estimation showed that the variables of age, employment status, working hours of the head of the household, subsidy, income and food diversity have a positive and significant effect on the food security of the households, but the Family size has a negative effect on the food security. In addition, the two variables gender and literacy of the head of the household did not have a significant effect on the food security in urban areas of Iran. ConclusionIn this regard, although the long-term solution is to increase household purchasing power, stabilize and reduce commodity prices through strengthening production and supply, but in the short-term, increasing salaries and wages in line with the inflation rate and increasing social support programs for the low income deciels and weak society should be taken into consideration. In other words, income policies that can directly or indirectly increase the level of income and thus the purchasing power of the household, can be considered as a scientific and effective solution for food security. Moreover, the social support and poverty alleviation programs should be targeted and applied according to the needs and deficiencies in different geographical, demographic and income conditions. Finally, it should be acknowledged that improving the nutritional literacy of households can increase the nutritional knowledge and awareness of households, and therefore, by improving the variety and quality of the food they consume, it can lead to an increase in food security in urban areas of Iran.
Agricultural Economics
F. Razzaghi Borkhani; T. Azizi Khalkheili; A.A. Barati
Abstract
IntroductionThe shortage of freshwater resources is one of the primary crises the world faces, despite the constant availability of renewable water sources. As a result, the rising risks associated with water scarcity are a critical concern. The water crisis reduces crops production and negatively affects ...
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IntroductionThe shortage of freshwater resources is one of the primary crises the world faces, despite the constant availability of renewable water sources. As a result, the rising risks associated with water scarcity are a critical concern. The water crisis reduces crops production and negatively affects food security. Due to the increase in demand for food, agriculture section is under more pressure because of both water crisis and more demand for food. Agricultural sector has been also facing with water shortage due to climate changes caused by the more global warming and low precipitation. Water crisis and climate changes leading to a decrease in the crops production. Now, agriculture and livelihood of villagers has become unstable more than any time. Considering the importance of irrigated farming in Mazandaran province in the country's food security, the present study was conducted with the aim of identifying the most important variables that affecting water security in Mazandaran province. Materials and MethodsThe statistical population of the research included 16 subject experts with research or executive experience in the fields related to water studies, water security and climate change. The selection of them was done in a purposeful way. The data collection tool was a researcher made questionnaire and the data collection method was face-to-face interview. At first, to identify the variables involved in water security a subject literature review and several semi-structured interviews with subject experts were conducted. Then, the experts were asked to evaluate the cross-effects of the identified variables through pairwise comparisons and in the form of the MICMAC questionnaire. Finally, the data were analysis using MICMAC software. Results and DiscussionAccording to the results, among the studied variables, "knowledge and environmental literacy of villagers" and "reduction of precipitation due to climate change" (input variables) are two important key variables that directly and indirectly affect water security and therefore should be considered. The variables "best management of appropriate farm operations", "volume and diversity of water resources" and "good management and governance of agricultural water" are intermediate variables, with high impact and high dependence. Based on the direct influence network intensity of the key variables involved in water security, variables such as “best management of suitable farm operations”, “good management and governance of agricultural water”, “the degree of resilience of farmers to adapt to climate change” play a central and sensitive role. Based on the indirect relationships, “best management of appropriate farm operations”, “the degree of resilience of farmers to adapt to climate change”, “risk management of ecological hazards and climate change” have the greatest indirect effect on other variables and should be considered by policy makers and planners in this field. ConclusionWater crisis is a major challenge for agricultural activities and consequently for food security. Considering the vital role that Mazandaran province plays in the agricultural products production and as a result food security, the present study examined the most important variables affecting food security. The findings of this study showed that "good management and governance of agricultural water" has the most direct impact on water crisis management. Good water governance can be taken into consideration with the relative strengthening and synergistic participation of public and private sectors and non-governmental organizations in line with the planning and implementation of food security policy with the water-energy-food nexus approach. The role of increasing the environmental knowledge and literacy of villagers by providing effective educational-promotional services such as farm filed school is very important on the farmer's resilience and adaptability. On the other hand, variables such as good water management and governance, development of new irrigation systems and technologies, zoning of agricultural lands and the explanation of the appropriate cultivation pattern for each zone (such as planting crops with low water demand and high added value include medicinal plants) are undeniable impact on the livelihood resilience of the farmer's family and adaptation to climate change conditions. Diversify the livelihood resources of farming households with the participation of household women, promoting climate-oriented businesses that are compatible with climate changes (such as agricultural tourism and handicrafts), using drought-resistant species, changing the date of cultivation, developing greenhouse cultivation, medicinal plants and modernization of irrigation, change of history and cultivation pattern play important roles on the resilience of farmers to adapt climate change.
Agricultural Economics
A.R. Sani Heidary; M. Daneshvar Kakhki; M. Sabouhi; H. Mohammadi
Abstract
IntroductionConsidering being located in arid and semi-arid regions of the world, Iran is influenced by the most severe impacts of drought. Drought is considered a major threat to the livelihood of rural households. During the recent drought, rural households faced significant losses and hardships, underscoring ...
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IntroductionConsidering being located in arid and semi-arid regions of the world, Iran is influenced by the most severe impacts of drought. Drought is considered a major threat to the livelihood of rural households. During the recent drought, rural households faced significant losses and hardships, underscoring their lack of preparedness for this natural hazard. Consequently, every society must take proactive measures to manage changes, mitigate threats, and respond effectively. A review of the country's drought management programs reveals that policymakers have consistently prioritized increased production, even amid the critical conditions of recent droughts. This focus on boosting production to meet the basic needs of a growing population has taken precedence over enhancing rural households' livelihoods and resilience. However, improving rural households' resilience in drought conditions hinges on prioritizing their capacity for adaptability and flexibility. Therefore, considering the sensitivity of the issue of resilience as a dominant approach effective on the dimensions of life and livelihood of rural households on the one hand and the lack of a comprehensive study on its underlying factors, on the other hand, this research seeks to answer two questions: First, what is the resilience level of rural households against drought? Second, what factors influence the resilience levels of rural households in drought conditions? Materials and MethodsThe statistical population of this study is 16,817 rural households in Zehak city, located in Sistan and Baluchistan province, which are strongly influenced by different climatic events such as drought, excessive heat, low rainfall and 120-day winds. A stratified random sampling method was used to determine the sample size. According to Cochran's formula, the sample size is estimated to be 376 households. Data were collected by completing multidimensional questionnaires along with semi-structured interviews from households in 2023. To measure the resilience capacity of rural households, the theoretical framework of TANGO based on the estimation of the three capacities of absorption, adaptation and transfer was used through the factor analysis method, in which attitudinal and mental aspects of resilience are also taken into account. Finally, partial proportional odds model has been used to evaluate the influencing factors on the resilience capacity of rural households. Results and DiscussionThe results of the state of resilience capacity of rural households in the region indicated that the average value of their resilience capacity is 26.27, which shows the low level of resilience capacity in the region. Also, the households of the region are in a bad situation based on the absorption, adaptation and transmission capacities, and the households of the region have a stronger transmission capacity than the absorption and adaptation capacity against drought. The results of grouping the resilience capacity of households reveal that 32.45% are in the vulnerable group, 28.19% are in the relative resilience group, 22.61% are in the resilient group and 16.76% are in the high resilience group. The results show that more than 60% of households are at very low levels of resilience. Finally, the partial proportional odds model results demonstrated that the variables of education of the head of the household, skill level in agricultural activities, savings, household income, number of household contacts with agricultural extension, membership of the head of the household in social groups and access to microcredits have a positive effect and variables of the value of the loss of agricultural products and the number of livestock lost have a negative effect on the resilience capacity of rural households against drought. ConclusionAccording to the findings, policy-makers should prioritize strengthening the variables that determine the resilience capacity and its dimensions in the implementation of drought management programs so that households can absorb drought shocks without damaging their basic components. Policy-makers should also target specific categories of risks, dimensions of vulnerability and resilience in different time periods (before, during, and after shock) in order to choose comprehensive strategies to build and increase resilience. For instance, before a shock, better access to early detection of emerging climate risks could help farmers plan their cropping activities accordingly. Access to climate information allows for forward-looking adaptation that reduces the impact of shocks and increases resilience.
Agricultural Economics
M. Rafiee Sefid Dashti; S.M. Mirdamadi; S.J. Farajollah Hosseini; S. Shokri
Abstract
IntroductionEvery country in the path of sustainable development needs capacity building and empowerment of human resources, organizations and environmental and ecological conditions, for this reason capacity building has a significant impact on the empowerment of people and groups. Smart climate agriculture ...
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IntroductionEvery country in the path of sustainable development needs capacity building and empowerment of human resources, organizations and environmental and ecological conditions, for this reason capacity building has a significant impact on the empowerment of people and groups. Smart climate agriculture is a method that focuses on agriculture and seeks to improve the productivity and income of farmers, in order to increase the productivity and adaptability of agricultural products in Iran, it is necessary to implement smart climate farming methods by building the capacity of human resources to make decisions and take action. Agricultural extension system is considered as one of the key tools for realizing sustainable development and has capabilities such as improving livelihoods, training farmers, establishing social justice, empowering farmers, and increasing production and productivity. Considering the importance of building capacity in the food supply and security sector, which is facing many threats day by day, the role of extension training in promoting agricultural innovations and new perspectives and training farmers in order to improve their knowledge, information and skills are considered the important and effective factors in capacity building and development of the agricultural sector of Iran. Materials and MethodsIn this research the statistical population of the research was formed by extension experts in the northwest of the country, which includes the three provinces of East Azarbaijan, West Azarbaijan and Ardabil, with 4256 people. The sample size was also calculated based on Cochran's formula (n=354). In this way, according to the number of centers in each province and proportionally to the size of the statistical population and the sample size from each province, the required sample was randomly selected according to the number of employees in that provinceTo address the research problem and objectives, a questionnaire was developed as the primary research tool, consisting of four sections, seven items, and 31 questions tailored for experts in agricultural promotion and development. Aside from questions on personal and professional characteristics (gender, age, major, education level, work history, organizational position, employment status), all items were presented on a five-point Likert scale (1: very low, 2: low, 3: moderate, 4: high, 5: very high). In this research, to determine the face validity of the questionnaire, it was approved by the opinions of the research committee as well as managers and experts of agricultural extension and education after several stages of modification and revision. In order to measure construct validity, average variance extracted index (AVE) was used using SmartPLS software. To determine the reliability of the questionnaire, Cronbach's alpha and composite reliability coefficients were used, and for this purpose, 25 questionnaires were completed by a group identical to the research group. In this research, two main and secondary independent variables were investigated. Our dependent variable in this research is "smart climate agricultural development" (12 items) which are influenced by two independent variables including educational factors and promotion factors. Structural equation modeling (SEM) method was used in this research. Results and Discussion Education, promotion, and capacity building of human resources are essential strategies for sustainable development (Sulaiman, 2021). Therefore, building human resource capacity is critical for the economic growth and prosperity of any country (Notenbaert et al., 2017). In analyzing the eight hypotheses, Table 8 shows that the path coefficients for infrastructural, economic, social, organizational, cultural, educational, legal, and technical factors in the capacity building of extension experts for the development of smart climate agriculture are 0.120, 0.115, 0.114, 0.168, 0.143, 0.132, 0.147, and 0.104, respectively. Additionally, the t-statistics for these coefficients are 3.087, 3.120, 3.123, 7.17, 2.710, 2.468, 4.002, and 3.267, all exceeding the threshold of 1.96, indicating significance at the 5% error level. The model estimates suggest that infrastructural, economic, social, organizational, cultural, educational, legal, and technical factors have a positive and significant impact on capacity building among extension experts in developing smart climate agriculture. In general, based on the results obtained in the current research, it can be said that the identification of factors that create and facilitate the development of extension experts' capacities is very necessary and necessary for the development of smart climate agriculture. Research findings show that infrastructural factors, economic factors, social factors, organizational factors, cultural factors, educational factors, legal factors and technical factors have an effective and significant role in building the capacity of extension experts in the development of smart climate agriculture. In fact, increasing and improving the capacity of extension experts has direct and indirect benefits for the members of the Jihad Agricultural Organization and the villagers, and increases cooperation and interaction between them. The findings of this research help the policy makers and planners to identify the weaknesses and shortcomings to improve the performance of the Agricultural Jihad Organization and achieve the objectives of the Extension Unit. The analysis of the factors in this study helps to get a better understanding of improving the capacity of extension experts and consequently, it helps to increase the income, productivity and food security of the people with the development of smart climate agriculture. ConclusionFor data analysis, the method of structural equation modeling with the approach of partial least squares based on PLS3 software was used. Therefore, first, in order to enter the structural equation modeling test, it is necessary to make sure that the data is normal or not. By using the Kolmogorov-Smirnov and Shapiro-Wilk tests, the normality of the data can be checked, and this test is performed at the 95% confidence level, in other words, it is our significance level. According to the findings in Table 6, the significance level (p) for each variable is less than the threshold of 0.05 (P < 0.05), indicating that the null hypothesis (H0) is accepted, while the alternative hypothesis (H1) is rejected. This suggests that the research variables do not follow a normal distribution. To assess normality, the Kolmogorov-Smirnov and Shapiro-Wilk tests were employed, conducted at a 95% confidence level, aligning with the significance level of the study. Before proceeding with factor analysis, it was necessary to confirm the adequacy of the data. The Kaiser-Meyer-Olkin (KMO) index and Bartlett's Test of Sphericity were used for this purpose. As shown in Table 7, the sample size adequacy (KMO = 0.988) and the significance of Bartlett's test (652.537) both indicate that the sample is suitable for factor analysis. To investigate causal relationships between the research variables and assess the fit of the data to the conceptual model, structural equation modeling (SEM) was applied. Specifically, this research utilized partial least squares (PLS3) for hypothesis testing and model fitting. Figures 2 and 3 present the results from the software output, following the testing of the conceptual model. According to the results of Table 8, the results of the significant coefficients for each of the hypotheses, the standardized coefficients of the paths related to each of the hypotheses, and the results of the examination of the hypotheses are presented. According to Figures 2 and 3, it can be said that the standardized coefficient (path coefficient) between the variables (educational, infrastructural, economic, social, technical, organizational, legal, cultural factors with smart climate capacity building) is significant, so at the 99% confidence level Hypothesis H0 is rejected and hypothesis H1 is confirmed, and it can be concluded that educational factors; infrastructural; economic; social; technical, organizational; legal; culture have significant effects on the capacity building of extension experts in the development of smart climate agriculture, and therefore the eight hypotheses are confirmed. GOF criterion: To evaluate the model, the GOF criterion is used, which three values of 0.01, 0.25 and 0.36 are introduced as weak, medium and strong values for GOF. According to Table 6, the GOF is 0.865, confirming the very good fit of the overall model.
Agricultural Economics
K. Khaledi
Abstract
IntroductionTheoretically in relation to economic growth and methods of calculating value added, the four factors of labor, capital, labor productivity, and capital productivity are considered, and the amount of value added will be the final product of the state and direct performance of these four factors. ...
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IntroductionTheoretically in relation to economic growth and methods of calculating value added, the four factors of labor, capital, labor productivity, and capital productivity are considered, and the amount of value added will be the final product of the state and direct performance of these four factors. Since investment is an available option and has faster execution capability than the change in the quality of agricultural labor and the driver of changes in the productivity of other production factors, it is inevitable to focus on it by statesmen and macro and sector planners to realize the target economic growth in the agricultural sector. With this description, the macroeconomic planners of the agricultural sector have not determined the required amounts of investment, labor and productivity of labor and capital in the agricultural sector to realize the economic growth target in the 7th development plan. The role of investment as the driver of this (realization of the economic growth goal of the 7th development plan years) is not hidden from anyone, and determining the amount of investment required in this process will be very important for the policymaker. The main question of this study is, what is the amount of annual investment needed to realize the economic growth of Iran's agricultural goal in the 7th development plan? For this reason, the present study aims to estimate the amount of investment needed to realize the economic growth of the country's agricultural target (assumed) in the seventh development plan (2024-2028). Materials and MethodsThe current research is analytical-descriptive and with a computational approach, it deals with the estimation of the investment needed to realize the economic growth of the agricultural sector of Iran in the 7th Development Plan (2024-28). The time period considered in this study is 2011-2028. The estimation of the required investment of the agricultural sector in order to realize the economic growth of this sector in the 7th development plan has been done parametrically (algebraically) and by using the capital elasticity in the studies, the increasing ratio of capital to production (ICOR) and the average productivity of the net capital balance. Considering that the target economic growth for economic sectors including the agricultural sector in the 7th Development Plan has not been specified, therefore, in the form of different scenarios, three different economic growths (3.5 percent, 5.5 percent, and 8 percent) as The target (assumed) economic growth for the agricultural sector is considered in the years of the 7th development plan. Results and DiscussionClimate changes and destruction of basic production resources are the most important challenges facing Iran's agriculture. In the 7th Development plan bill, economic growth of 8% is defined for the entire country's economy. In order to avoid over-reliance on basic resources in the agricultural production process and increase its resilience, a sustainable leap in targeted agricultural investment will be the most important choice of the government in the mid-term (7th development plan) and long-term. The aim of this study is to estimate the annual investment required in the agricultural sector in the 7th development plan, and in this regard, three approaches have been used to estimate the amount of annual investment required in the agricultural sector of Iran to achieve the target (assumed) economic growth. Examining the average of different approaches to estimate the annual investment for the target (assumed) value added growth of agriculture showed that according to the assumptions of the study and based on the prices of the base year 2016 (2016=100) to realize the growth of the value added of 3.5% necessary with a growth rate of 4.5%, an average of 183 thousand billion rials will be invested in Iran's agricultural sector annually. These figures will be 6.1% and about 234 thousand billion rials respectively to achieve 5.5% value added growth and 8.2% respectively and about 304 thousand billion rials to achieve 8% value added growth. There is no doubt that in addition to making the necessary investment, the realization of each of the target (assumed) growth of value added in the agricultural sector in the years of the 7th plan, on the one hand, depends on the existence of suitable and stable climatic conditions (as the main prerequisite for the production of agricultural products) and on the other hand, it is not imposing new shocks or crises on the agricultural economy of our country. ConclusionThe destruction of basic resources and climate changes in Iran's agricultural field are taking place in such a way that it has made it difficult to produce agricultural products in a large area of Iran in the field (the need to develop greenhouse crops) and on the other hand, the development of capital in the process of agricultural production (as a supplement or substitute for other production inputs) in order to increase productivity and preserve the limited and deteriorating production resources has made agriculture more necessary than in the past. Past experiences show that changing the financing approach for investing in Iran's agricultural sector is inevitable. Therefore, it is necessary that in the seventh development plan while separating investment facilities and agricultural working capital facilities during the 7th development plan, improving the environment for agricultural investment and the mechanism for transferring savings to this sector, optimal allocating domestic financial resources (National Development Fund, banking system, support fund for The development of investment, micro-agricultural funds, etc.) and foreign financial resources (foreign direct investment) should be planned in such a way that the investment made in the agricultural sector is coordinated and proportionate with the economic growth of the program.
Agricultural Economics
M. Moradi; H. Shabanali Fami; A.A. Barati; R. Salehi Mohammadi
Abstract
Every year, approximately one-third of the total food produced for human consumption is lost or wasted due to various reasons. This level of wastage has substantial adverse impacts on the environment, economy, and society. Numerous studies have proposed various policies to address the issue of food waste, ...
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Every year, approximately one-third of the total food produced for human consumption is lost or wasted due to various reasons. This level of wastage has substantial adverse impacts on the environment, economy, and society. Numerous studies have proposed various policies to address the issue of food waste, such as incorporating technology into existing supply chains. However, concerns about their effectiveness and unintended consequences have led researchers to emphasize market-based approaches for waste reduction. The present study was carried out to estimate waste and investigate the potential for developing different marketing channels as market-based approaches to reduce waste in the leafy vegetable supply chain in Kermanshah province. To achieve this purpose, a system dynamics modelling of the waste system in the leafy vegetable supply chain was developed by using the literature review and interviews with experts and stakeholders. The tool for collecting research data was a questionnaire. The statistical population of this study is two groups including 22 experts and 728 actors in the leafy vegetable supply chain. Based on the findings, around 31,000 tonnes (39%) of leafy vegetables are wasted annually across the supply chain. The research scenarios indicate that the establishment of processing industries will effectively decrease the overall waste of leafy vegetables from around 31,000 tons to approximately 20,000 tons annually. Therefore, government initiatives and policies in the field of leafy vegetable exchange in the study area must focus on supporting businesses associated with leafy vegetable processing industries and establishing infrastructure prerequisites for these industries.
Agricultural Economics
S. Binaei; H. Shabanali Fami; Kh. Kalantari; A.A. Barati
Abstract
Food production in controlled cultivation areas plays a crucial role in increasing productivity and offsetting supply shortages. Product yields, water consumption, and energy use are the main parameters determining the performance of food production in a greenhouse. Smart technology is an effective solution ...
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Food production in controlled cultivation areas plays a crucial role in increasing productivity and offsetting supply shortages. Product yields, water consumption, and energy use are the main parameters determining the performance of food production in a greenhouse. Smart technology is an effective solution to improve these parameters. This study aimed to identify the components, challenges, and requirements for the development of smart agriculture in greenhouses. Our case study focused on Tehran province, which encompasses a significant portion of the total greenhouses in Iran. The statistical population consisted of 20 subject-matter experts with research or executive experience in greenhouse automation, selected purposefully. Questionnaires and semi-structured interviews were used in this study to collect data. First, we identified the variables affecting the development of smart agriculture in greenhouses by using a literature review and semi-structured interviews with experts, Then, the experts were asked to evaluate the cross-influence of the identified variables through pairwise comparison. Finally, data analysis was done using MICMAC software. The findings indicate that the identified requirements and challenges have had a significant influence on the lack of smart agriculture in greenhouses. Through network analysis of influence and dependence relationships, it was found that economic requirements and challenges, technical and infrastructural requirements and challenges, legal and regulatory requirements, and institutional requirements were the most influential variables in the development of smart agriculture in Tehran province.
Agricultural Economics
T. Sharghi; M. Rezaee Ahmadabadi
Abstract
Introduction The development process of organic cultivation in Iran is not favorable because the average growth rate of organic agriculture development from 2008 to 2019 according to FAO statistics in 2021 is equal to -0.47% and this is while foods contaminated with various substances Chemicals ...
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Introduction The development process of organic cultivation in Iran is not favorable because the average growth rate of organic agriculture development from 2008 to 2019 according to FAO statistics in 2021 is equal to -0.47% and this is while foods contaminated with various substances Chemicals have an unpleasant effect on the general health of society. According to the statistics of 2021, 600 million people in the world, i.e. 1 out of every 10 people, will get sick after eating food. Since any change in the use of chemicals in agriculture should be based on the behavior of farmers, the purpose of this study is to investigate the behavioral intention to produce organic pistachio production among 5200 pistachio growers in Ardakan county, Yazd province, using the Decomposed Theory of Planned Behavior (DTPB) analysis. Material and Methods The current research is classified as a quantitative research and is a descriptive-survey type of research, and in terms of the type of objective, it is considered a part of applied research. Based on Cochran's formula, the sample size was determined to be 358 people. Considering the distribution and dispersion of pistachio growers in different sectors, multi-stage random sampling was used. The face and content validity of the questionnaire was confirmed by a panel of academic experts in the departments of horticulture, agricultural development, plant protection and psychology, as well as experts of Jihad Keshavarzi of the county. To determine the reliability of the questionnaire tool, a pre-test study was conducted among 30 farmers of Aqda Aflatak village, which was part of the villages of Ardakan city, but outside the study sample. The reliability of the questionnaire was estimated using Cronbach's alpha test. Cronbach's alpha coefficient was obtained from 0.649 to 0.836, which indicates acceptable reliability. SPSS22 and SmartPLS2 software were used for data analysis. Result and DiscussionDescriptive findings showed that 358 respondents were 336 men and 22 women. Among them, 48 people lived in the village and 310 people lived in the city. The statistical results of the present study showed that the average age of the respondents was 53 years old, who had an average of 9 years of formal education. They had an average of 15 years of experience in the field of pistachio farming, and 30% of household income was dependent on pistachio production. According to the statistical sample of the research in terms of age, the highest frequency (137) were in the 41-50 age group. In terms of pistachio cultivation area, 204 farmers had less than one hectare, which constituted 59.9% of the studied sample. The inferential findings of this research showed that the factors affecting farmers' behavioral intention to produce organic pistachio products were perceived mental norms (β= 0/362) and perceived behavioral control (β=0/185). The findings of this research were in line with the results of Yadavar et al (2018). Also, the findings of this study showed the absence of a significant relationship between attitude and behavioral intention, which was not in line with the results of Safi Sis et al. (2020), Fatemi et al. (2018), Yadavar et al. (2018). According to the research model, the lack of a significant effect between the attitude variable and farmers' perception of the compatibility of organic production methods with their current values and needs, including consumers not purchasing organic pistachios, is notable. This lack of impact may be attributed to consumer-related challenges such as higher prices and insufficient information and awareness about organic products, which could hinder the financial feasibility of implementing organic production. Moreover, the research indicates that the attitude variable did not significantly influence farmers' perception of the ease of applying organic pistachio production methods in the orchard. As a result, the attitude variable did not exert a significant effect on behavioral intention in this context. Conclusion The most important factors in the behavioral intention to produce organic pistachios are the variables of subjective norm and perceived behavioral control. In fact, the issue of environmental protection and measures to prevent water, soil and environment pollution were the popular and accepted behaviors among the pistachio growers in the studied area, and the pistachio growers had come to believe that the use of organic production methods is one of the accepted behaviors of important and prominent people in their accepted social network. Therefore, it is suggested that the extension department of Ardakan Agricultural Jihad Management, by holding various meetings centered on leading farmers in the matter of organic production, provides effective networking for more exposure, contact and communication of pistachio farmers, so as to facilitate their decision making process to enter into organic pistachio production. Also, the findings showed that from the point of view of pistachio farmers, the use of organic production methods and operations is under the control and authority of the farmer and he can use it in his garden if he wishes. Therefore, it is suggested that the extension department of Jihad-Kashawarzi management of Ardakan county continues to provide educational, facilities and services support needed by pistachio farmers and in this regard, planning and providing services in the direction of changing the consumer's attitude towards buying organic products in various ways such as festivals, exhibitions and production Media programs. Considering the importance of removing obstacles to the implementation of organic production in pistachio orchards, it is suggested that necessary support measures be established by the government in the field of covering the operational costs of organic pistachio production until the pistachio farmers reach the markets of organic products inside and outside the country. It is also suggested that due to the diversity in the quality of water, soil and pistachio variety of the farmers, the extension department should organize training courses in such a way that they understand the ease of using this kind of methods and its management in the garden.
Agricultural Economics
Sh. Zarif Moradian; M. Sabouhi; M. Daneshvar Kakhki
Abstract
Introduction Given the growing global hunger in recent years, creating and increasing resilience among disadvantaged and impoverished communities, emphasized in the 2030 Sustainable Development Agenda, is a significant concern to most countries. The term resilience is generally considered as the ...
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Introduction Given the growing global hunger in recent years, creating and increasing resilience among disadvantaged and impoverished communities, emphasized in the 2030 Sustainable Development Agenda, is a significant concern to most countries. The term resilience is generally considered as the capacity of a system to withstand various risks, and household resilience can be defined as the ability to return to the previous level of living conditions after a shock. Since one of the most critical shocks that farmers have faced in Iran is drought, the present study aimed to estimate the effect of drought on rural farmers’ household resilience in a selected village in Qalandar Abad district in Iran. Materials and Methods The factor analysis method was used to estimate the components of the Resilience Index Measurement and Analysis (RIMA) of the Food and Agriculture Organization of the United Nations (FAO), and the Mimic (Multiple indicators_ multiple causes) method was used to estimate the latent variable of resilience. RIMA, which considers resilience as a latent variable, includes four main components of Access to Basic Services (ABS), Assets (AST), Social Safety Nets (SSN), and Adaptive Capacity (AC). Also, according to the purpose of the study on estimating the resilience of rural households with the MIMIC method, at least two food security indicators at the household level, as multiple indicators of resilience, are required. The food security indices used in the calculations of this study include the Household Hunger Scale Index and the household Food Consumption Score. The samples included 149 farmers randomly selected from Hossein Abad Rekhneh Gol village, and data were collected through interviews with the household head. To reveal the effect of different shocks on the rural resilience households, self-reported information such as drought, livestock loss, and the characteristics of the households were used through an Ordinary Last Square regression. Results and Discussion In the first stage, each of the pillars of resilience, including Access to Basic Services, Assets, Social Safety Nets, and Adaptive Capacity, which are considered latent variables, shows a higher correlation between the variables, and the calculated pillars indicate the greater importance of that variable in each of the resilience components. According to the results, among the variables that constitute the pillar of access to basic services, "the distance from the household to the health center" variable correlates with this pillar, which indicates its high importance. In addition, the "attending school years" is one of the most important variables in forming and creating the adaptive capacity of a household to the crises ahead. The agricultural water availability and the total yield during a year play an important role in creating the asset pillar. Regarding creating the social safety nets pillar, as we expected, the governmental cash transfers, through monthly subsidies, the Imam Khomeini Relief Foundation, and the State Welfare Organization of Iran, is the most crucial variable. The results obtained from the food consumption (FCS) score index showed that 117 out of 149 studied households are within the acceptable threshold, 28 households are on the borderline, and four households are in a poor food consumption situation. The Hunger Scale Index showed that out of 149 households, 62 households are on the little to no hunger threshold, while 81 households are on the moderate hunger and six households are on the severe hunger threshold. Also, based on the results of the MIMIC model, among the calculated pillars, household assets is the most important. The increase of one standard deviation unit in AST will increase 0.06 standard deviation units in the resilience capacity index. Adaptive capacity and social safety nets pillars also play a significant role in creating resilience for rural households. Thus, increasing one standard deviation in the AC and SSN led to an increase in the magnitude of the resilience by 0.04 and 0.03 standard deviations, respectively. Finally, the effect of different shocks on the rural resilience households showed that variables such as drought, livestock loss, and gender of household head (being female) have a negative effect on their resilience. The size of the household has a positive impact, which means that the more family members, the more resilience. Conclusion One of the critical goals of underdeveloped and developing countries, is to eradicate poverty and achieve sustainable development. In Iran, like other developing countries, smallholder farmers are known to be vulnerable to environmental and economic changes such as climate change, rising prices of agricultural inputs, etc. Therefore, adopting and implementing policies that lead to a fair income distribution for vulnerable people is essential. Estimating the RIMA makes it possible to rank households based on their strengths, weaknesses, and current needs. Budget allocation and the policy time duration are two limiting factors that may optimize using the RIMA results. The present study examined the RIMA and the effect of drought on the calculated index for the first time in Iran for a specific region. Since the ranking of households based on resilience requires awareness of all vulnerable households' situations, the definition of short-term and long-term projects in the future development plans is essential. To identify "the most vulnerable groups" and "the most important challenges and shocks," these scheduled projects are vital for budget allocation prioritization.
Agricultural Economics
H. Amirnejad; S.A. Hosseini Yekani; S.M. Mojaverian; F. Kashiri Kolaei; M. Taslimi
Abstract
Introduction: The resistive economy, in the sense of managing the current situation in the country, minimizes the risks. In other words, establishment of the necessary institution in Iranian economy by using a set of policies, laws, and executive measures in such a way to minimize its risk against harmful ...
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Introduction: The resistive economy, in the sense of managing the current situation in the country, minimizes the risks. In other words, establishment of the necessary institution in Iranian economy by using a set of policies, laws, and executive measures in such a way to minimize its risk against harmful shocks and disturbances, especially foreign and international ones, would provide the ground for the country to achieve sustainable economic progress. One of the most important methods in this regard, in creating the infrastructure of a resistive economy, is development of the agricultural sector. In fact, due to the distinctive features of the agricultural sector, this sector can be considered as the driving force of the economy within the framework of the resistive economy. To achieve such an economy, the challenges and potentials facing this sector must be identified while determining optimal investment for the basic sectors. Due to the capabilities of agricultural production in Mazandaran province, in this study, for identifying the problems and opportunities in the subsectors of agriculture and horticulture, a type of SWOT analysis was used in which relative weights are calculated through a linear mathematical programming model. Finally, by using the QSPM approach, prioritization strategies were developed for each subsector.Material and Methods: In the SWOT analysis, the AHP approach was used to extract the pairwise comparisons of internal and external factors from the opinions of the interviewed experts in the subsectors of agriculture and horticulture. SWOT analysis has been used to determine strengths, weaknesses, opportunities, threats, and the combination of linear programming. Therefore, AHP approach is used to calculate the weight for criteria and alternatives at each level. In this research, a two-step linear programming method has been used to calculate the priority vector. In the first step, according to the pairwise comparison matrix, a formulation that provides a consistency limit is used. In the second step, according to the compatibility limits obtained in the previous step, for calculating marginal weights of the criteria, another linear programming model is used. After calculating the relative weights of each of the components of strengths, weaknesses, opportunities and threats, as well as determining some strategies, using expert opinions, the QSPM approach has been used to prioritize strategies. For this purpose, the attractiveness coefficients of each strategy were extracted according to the Swot components and by multiplying the attractiveness coefficients by the relative weights, the total score for each Swot component was calculated for each strategy and finally with the total score of the Swot components, a total score for each strategy was calculated. Finally, Excel and GAMS software were used to estimate the results.Results and Discussion: According to the results of SWOT analysis in the agriculture and horticulture sector, among the important strengths in Mazandaran province, this subsector can be ranked first in the production of various products, variety of climatic conditions and suitable water resources, the existence of fertile and suitable lands and variety of products. In contrast to the above strengths, weaknesses such as traditional and small units of exploitation, lack of guaranteed purchase and non-payment of debts on time by the government and cooperatives, low irrigation efficiency and low productivity of inputs (land, labor, etc.), lack of proper marketing system and the weak role of the government are some of important challenges in the subsectors of agriculture and horticulture in Mazandaran province. The opportunities facing the subsectors of agriculture and horticulture include the existence of ports and export terminals, existence of suitable fields for the construction of processing industries, improvement and establishment of fruit and vegetable terminals, and the existence of agricultural sub-graduates. The most important factors that threaten the activity of subsectors of agriculture and horticulture are related to the problems of financing and bank interest rates, land-use change and land trade, excessive import of agricultural and horticultural products, and small number of related processing industries. The results of prioritizing strategies through the QSPM approach also showed that according to aggressive strategies, in the subsectors of agriculture and horticulture, strategies like "Increased aggressive racial reform research ", "Establishment of fruit and vegetable export terminals" and "Development of processing industries", in the subsector of livestock strategies like "Export development and entry into global markets", "Product and market development", "Establishment of facilities for export to the Caspian littoral states" and "Improvement of livestock breeds to increase production" , and in the subsector of fisheries "Aquaculture Development", "Development of Fisheries Industry", "Private and public sector support and investment" and "Establishment of facilities for export to international markets" are among strategies for strengthening the economy of the province and the country that can be considered.Conclusion: According to the results of this study, it is suggested that more attention in terms of capital support, and regional policies should be given to the subsectors of agriculture and horticulture in this situation. Also, appropriate measures should be taken to increase the productivity of the agricultural sector in line with the resistance economy. It is also suggested that solutions such as guaranteed purchase, providing facilities for small and job-creating projects, use of agricultural researchers and graduates for improving and implementing of racial reform research, support and development of processing industry of agricultural products, market development and increasing exports of agricultural products, should be used.