This study investigates the factors that affect farmers’ access to Food Security and Agricultural Credit (FSAC) services for the farmers of Pakistan who have no access to banking but have a feasible farm business. Using multiple regressions and logistic analysis, the authors revealed the determinants of farmers’ financial literacy and analyzed the variables which affected the farmers’ accessibility to FSAC. Results indicated that the average financial literacy of respondents was at a moderate level. It was affected by the age of respondents, length of their education, distance to nearby cities, ownership of bank accounts, annual income, and financial education experience. The FSAC accessibility was also impacted by the area of cultivated land, interest rate, collateral, farms’ income, financial literacy index, credit accessibility experiences, the legal status of farmer groups, and the amount of a loan. Some of the issues that prevent farmers from having widespread access to the FSAC include the lack of loan need, lack of FSAC awareness, lack of collateral, loan usury perspective, loan rejection experience, fear of borrowing from the bank, and inactive farmer groups. The study contributes to the existing literature on the determinants of farmers’ access and choice of credit sources by using a primary data set.

Combating poverty through the development of agricultural production and providing rural people with new employment and income opportunities in agriculture has become one of the major concerns of both policymakers and scholars worldwide. In many developing countries, government policies have failed to achieve the desired poverty alleviation goals due to the lack of financial resources. Despite that, few comprehensive studies have so far unambiguously identified the effects of the exogenous factor of capital inflows on the level of poverty and agriculture development. In this paper, the authors attempt to shed light on the poverty–agriculture–capital trilemma pattern by revealing the impacts of different types of capital inflows on the parameters of poverty reduction and agriculture development. The panel unit root test and pool mean group estimation techniques were employed for observing the short-term and long-term linkages between dependent and explanatory variables across fourteen developing economies of Latin America, Asia, and Eastern Europe. It was revealed that poverty reduction could be positively affected by an increase in the values of agricultural exports, foreign direct investment, foreign development assistance, and remittances received from migrant workers. The level of agriculture could be improved by deeper integration of developing economies to global food supply chains as either suppliers or consumers of food and agricultural products.

For decades, agriculture has been central to economic growth and development in Pakistan. However, endemic rural poverty hinders the performance of agricultural production, and thus deteriorates the sustainable development perspectives of the agricultural sector and the entire country. The need for agricultural reform emphasizes raising farmers’ incomes as a cornerstone of the sustainable development of rural areas, and this study attempts to reveal the effects of foreign aid and government policies on the level of rural poverty in Pakistan. In total, 384 farmers from major agricultural areas of Pakistan completed the survey-based questionnaire. The partial least square structural equation modelling technique tested the results. They, using sustainable agriculture practices, improved agricultural production positively and significantly. Agriculture production positively and significantly reduces or mitigates poverty. This study aimed to reveal the role of foreign aid in sustaining agricultural production and eradicating rural poverty. Foreign aid positively moderated the association between sustainable agriculture practices and agricultural production. In addition, government policies negatively, yet insignificantly, moderate the association between agriculture production and poverty reduction. Furthermore, the findings indicate that agriculture production positively and significantly mediates the association between sustainable agriculture practices and poverty reduction. The study contributes to the literature by improving the understanding of linkages within the poverty-policies-aid-sustainability framework.

This paper provides a comprehensive analysis of food security in Sudan by adopting a unique approach of Hesitant Fuzzy Entropy (HFE) analysis to discern the key determinants influencing food security levels and aligning the findings with the Integrated Food Security Phase Classification (IPC) framework. The research utilized a dataset comprising 32 crucial variables related to food security assessment. Employing entropy values, weight coefficients, heatmaps, and scatterplots, the analysis aimed to unravel the intricate distribution of food security levels among Sudanese individuals in our study area. The study reveals that approximately 26% of the Sudanese population in our study region is poised to experience food security, with an additional 24% categorized as marginally food secure. Moreover, an estimated 35% are expected to confront moderate food insecurity, while 15% are projected to face severe food insecurity between January and June 2024. Anticipations for the period from January 2024 to June 2024 project more than 15 million individuals to encounter IPC Phase 3 and fall under moderately or severely food insecure levels. These findings emphasize the urgent need for both short-term humanitarian aid and long-term strategies to address Sudan's deepening food insecurity crisis.