Credit constraints and aquaculture productivity

被引:79
|
作者
Mitra, Sandip [1 ]
Khan, Md. Akhtaruzzaman [2 ]
Nielsen, Rasmus [3 ]
机构
[1] Bangabandhu Sheikh Mujibur Rahman Agr Univ, Dept Agr Finance & Cooperat, Salna 1706, Bangladesh
[2] Bangladesh Agr Univ, Dept Agr Finance, Mymensingh, Bangladesh
[3] Univ Copenhagen, Dept Food & Resource Econ, Copenhagen, Denmark
关键词
Credit constraints; endogenous switching regression model; aquaculture; Bangladesh; CATFISH PANGASIANODON-HYPOPHTHALMUS; VALUE-CHAIN; TECHNOLOGY; ADOPTION; BANGLADESH; MANAGEMENT; EFFICIENCY; DECISIONS; FARMERS; AFRICA;
D O I
10.1080/13657305.2019.1641571
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
The aquaculture sector is a capital intensive production process where access to credit is helpful in order to develop and manage farms in developing countries. Nevertheless, a supply of credit is often not readily available, which is creating credit constraint situations. This study investigates how credit constraints affect the productivity of aquaculture farmers in Bangladesh. An endogenous switching regression model is used to estimate the effects of credit constraints on productivity. The results show that productivity is significantly higher for farmers who are not exposed to credit constraints. This result reveals significant production-enhancing effects when using modern inputs for both constrained and unconstrained farmers. However, the effects are larger for the credit-unconstrained farmers because they have the opportunity to buy higher quality inputs and use them in a better input mix.
引用
收藏
页码:410 / 427
页数:18
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