Agricultural extension service, technology adoption, and production risk nexus: Evidence from Bangladesh

被引:2
|
作者
Alam, Mohammad Jahangir [1 ]
Sarma, Paresh Kumar [1 ,6 ]
Begum, Ismat Ara [2 ]
Connor, Jeff [3 ]
Crase, Lin [3 ]
Sayem, Sheikh Mohammad [4 ]
Mckenzie, Andrew M. [5 ]
机构
[1] Bangladesh Agr Univ, Dept Agribusiness & Mkt, Mymensingh 2202, Bangladesh
[2] Bangladesh Agr Univ, Dept Agr Econ, Mymensingh 2202, Bangladesh
[3] Univ South Australia, Sch Business, Adelaide, SA, Australia
[4] Bangladesh Agr Univ, Dept Agr & Appl Stat, Mymensingh 2202, Bangladesh
[5] Univ Arkansas, Dept Agr Econ & Agribusiness, Fayetteville, AR 72701 USA
[6] Bangladesh Agr Univ, Bangladesh Agr Univ Res Syst, Mymensingh 2202, Bangladesh
关键词
Agricultural risk; Risk management strategies; Technology adoption; Extension services; Stochastic modelling; DETERMINANTS;
D O I
10.1016/j.heliyon.2024.e34226
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Rice production is inherently risky and volatile, and farmers in Bangladesh face a wide range of risks, including weather, pest and disease attacks, interruptions to input supply, and marketassociated risks. Moreover, poor farm households often perceive risks in adopting new technology, even though it could improve productivity and food security. Such households are thus caught in a "risk-induced trap" that precludes them from realizing the benefits of technological innovation. Extension service is one way to help farmers improve risk management skills and escape risk-induced traps, but there is limited empirical analysis of its impact in Bangladesh. The objective of the study is to measure the nexus between agricultural extension services, technology adoption, and production risks as well as women empowerment in agriculture index. IFPRI utilized stratified random sampling to determine the 5603 households in 2018 (which is nationally called the BIHS-2018 dataset) from rural and pre-urban areas of Bangladesh. Out of these 5603 households, 2663 households were specifically selected for the study related to rice farming to achieve the main objective of the study. Focusing on rice farming, a moment-based Poisson regression model is estimated with 2SLS and identifies risks associated with key technologies and potential productivity and risk-reducing effects. The results revealed that wealthier households are more likely to adopt technology for minimizing production risk and women's empowerment which can positively affect productivity by mitigating risk. The result revealed a positive and significant difference in WEAI between the AES participant and non-participant group. We find that engagement in agricultural extension services was associated with technology adoption and production risk reduction. The agricultural extension services increased, technology adoption by 4.2 % and decreased production risk by 2.4 %. Based on the findings, it is concluded that more comprehensive extension services can enhance rice production and ameliorate farmers' risk in rice production to some extent.
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页数:14
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