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One of the main goals for Bangladesh is to achieve economic growth by increasing agricultural productivity. I will be conducting research to examine how agricultural financing and contributions impact Bangladesh. The researchers collected yearly time series data from the Bangladesh Bank (BB), Ministry of Finance (MoF), and Bangladesh Bureau of Statistics (BBS) for the period of 2012 to 2022. This article employed the GMM estimation technique using SPSS to examine the short- and long-term relationships between agricultural financing and agricultural contribution, along with other control variables. The findings of the study showed that there are connections between agricultural funding and agricultural contribution in both the short-term and long-term. Additionally, agricultural productivity is affected by various dynamic factors including GDP, inflation, interest rates, and government agricultural spending. The dependent variable in this study was GDP, while the independent variable was agricultural production. Most agricultural processing sectors, along with some agricultural producing sectors, have a greater potential for making money. This research indicates that it would be beneficial to increase agricultural financing in order to support the economic development of Bangladesh.  

Sustainability of the rice production and farmers’ income in Nigeria raises a serious concern due to the rising costs of production inputs and other factors beyond farmers’ control. As a result, the study compared the cost and returns of rice production in North central, Nigeria. A multistage sampling technique was used to select 387 rice farmers in the study area. Descriptive statistics, gross margin analysis and seeming unrelated regression were used to analyze the dataset collected. The findings revealed that most of the rice farmers were male, averagely young and have at least 9 family members in their respectively households. Results from Kwara State showed that total cost is higher among the upland rice farmers compared to their lowland counterparts, but reverse was the case in term of net profit, as this favoured the lowland rice farmers. For Niger State and pooled data, the lowland rice farmers had higher net profit than the upland rice farmers. Seemingly unrelated regression estimates indicated that costs associated with fertilizer, herbicide, seed, pesticide and labour used were significant and influencing factors affecting the revenue of rice farmers in the study area. While inaccessibility to cheap farm inputs was the major constraint affecting the rice farmers, other challenges include lack of storage, inadequate rainfall and inadequate credit facilities.  The study recommended seamless access to improved rice varieties by the farmers as this can scale up adoption of improved technologies, boost production and ultimately the net revenue of rice farmers. Farmers are also advised to join and/or form a registered occupational groups through which credit facilities can easily be accessed, to expand the farming operations because of the positive and complementary role of social group and access to credit.