درخت حوزه‌های تخصصی

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.

Using appropriate policies to overcome food insecurity is one of the pillars of economic prosperity of countries. Economic decisions that change macroeconomic parameters can directly or indirectly affect food production and prices and affect food security. Therefore, achieving a clear understanding of how macroeconomic policies affect different dimensions of food security in the country can lead to providing solutions to improve the food security index. In this study, a framework of simultaneous equations is presented in order to investigate the relationship between monetary and financial policies with food production and prices in the country. In this regard, using the method of generalized moments, behavioral equations were estimated separately using the data of 1978-2018. The model was then implemented as a system of equations using the Gauss Seidel method. Different scenarios were simulated in this model to investigate the effects of changes in interest rates, money volume, and general government investment on various aspects of food security. The results indicated that government investment in the agriculture sector and public investment expenditures have a positive impact on food production through capital stock. Additionally, changes in interest rates have minimal effects on food production but significant negative effects on food prices. Overall, monetary policy decisions result in increased food prices alongside decreased food production due to the demand for money and private investment. Therefore, the implementation of these policies should be done more carefully in order to encourage farmers to increase production and therefore ensure food security for consumers.

Agriculture plays a pivotal role in Africa's development and is essential for achieving the Sustainable Development Goals (SDGs). However, the agricultural sector is inherently exposed to production risks, and many farmers in the developing world lack access to reliable agricultural insurance coverage. This situation arises due to limited data and knowledge about farmers' insurance needs and the high costs associated with insuring against severe agricultural risks. Promoting agricultural insurance as an instrument can have several significant impacts, aligning with multiple SDGs. It can help stabilize farmers' income, thereby contributing to the goal of reducing poverty (SDG 1). Moreover, agricultural insurance can provide a safety net for food producers, helping them manage the impacts of climate-related risks and aligning with SDG 13, which addresses climate action. Additionally, by enhancing the resilience of farmers and ensuring more predictable income, agricultural insurance can contribute to addressing hunger (SDG 2) and ultimately create a more sustainable and prosperous agricultural sector in Africa. Therefore, this study evaluated agricultural insurance as an instrument for sustainable food supply systems in Nigeria. This study adopted a survey design. This study captured thoughts, experiences, and observations of selected agricultural underwriters in the Nigerian insurance industry through structured questionnaire. A descriptive statistic was employed in the data analysis. This study results indicated that aside from farmers’ awareness which showed some level of yardstick with respect to farmers behavioural metrics, all other metrics played no significant roles. It was also recorded that why farmers’ age, gender, family size and farming experience have no significant roles in the uptake of agricultural insurance, all other participatory factors have major effects. The study contributed significantly to knowledge with the graphical representations of the challenges confronting the agricultural insurers in Nigeria. The study provided suitable recommendations that endear achievable SDGs in Nigeria.