Rabbany Md Ghulam, Mehmood Yasir, Hoque Fazlul, Sarker Tanwne, Hossain Kh Zulfikar, Khan Arshad Ahmad, Hossain Mohammad Shakhawat, Roy Rana, Luo Jianchao
College of Economics and Management, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Department of Agribusiness and Marketing, Faculty of Agribusiness Management, Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka, 1207, Bangladesh.
Environ Sci Pollut Res Int. 2022 Jan;29(1):444-456. doi: 10.1007/s11356-021-15458-1. Epub 2021 Jul 31.
This study analyzes the effects of credit constraints on technical efficiency of Boro rice growers in the district of Pabna in Bangladesh. Using a simple random sampling technique, the data was collected from 570 Boro rice growers from the Pabna district of Bangladesh. Before conducting a field survey, a theoretical model was designed to identify credit-constrained and non-constrained rice growers. We have analyzed the collected data in two phases: first, we investigated the technical efficiency of Boro rice growers using the stochastic frontier model (SFA); and second, we used an inefficiency effect model to estimate the influence of credit constraints on technical efficiency. Findings indicate that credit-constrained rice growers (CCRG) are 6.7% less technically efficient than credit non-constrained rice growers (CNRG). Findings further indicate that the education level of the household head, family size, certified seed, sowing time, access to extension services, off-farm income, and household savings have significant effects on the technical efficiency of both groups of rice growers. Furthermore, credit size has a significantly positive impact, whereas the interest rate imposed on the principal amount has a significantly negative impact.
本研究分析了信贷约束对孟加拉国帕布纳地区香稻种植者技术效率的影响。采用简单随机抽样技术，从孟加拉国帕布纳地区的570名香稻种植者那里收集了数据。在进行实地调查之前，设计了一个理论模型来识别受信贷约束和不受信贷约束的水稻种植者。我们分两个阶段对收集到的数据进行了分析：第一，我们使用随机前沿模型（SFA）研究了香稻种植者的技术效率；第二，我们使用无效率效应模型来估计信贷约束对技术效率的影响。研究结果表明，受信贷约束的水稻种植者（CCRG）的技术效率比不受信贷约束的水稻种植者（CNRG）低6.7%。研究结果还表明，户主的教育水平、家庭规模、认证种子、播种时间、获得推广服务的机会、非农收入和家庭储蓄对这两组水稻种植者的技术效率都有显著影响。此外，信贷规模有显著的正向影响，而本金所收取的利率有显著的负向影响。
