Credit constraints and aquaculture productivity

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Credit constraints and aquaculture productivity. / Mitra, Sandip; Khan, Md. Akhtaruzzaman; Nielsen, Rasmus.

In: Aquaculture Economics & Management, Vol. 23, No. 4, 2019, p. 410-427.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Mitra, S, Khan, MA & Nielsen, R 2019, 'Credit constraints and aquaculture productivity', Aquaculture Economics & Management, vol. 23, no. 4, pp. 410-427. https://doi.org/10.1080/13657305.2019.1641571

APA

Mitra, S., Khan, M. A., & Nielsen, R. (2019). Credit constraints and aquaculture productivity. Aquaculture Economics & Management, 23(4), 410-427. https://doi.org/10.1080/13657305.2019.1641571

Vancouver

Mitra S, Khan MA, Nielsen R. Credit constraints and aquaculture productivity. Aquaculture Economics & Management. 2019;23(4):410-427. https://doi.org/10.1080/13657305.2019.1641571

Author

Mitra, Sandip ; Khan, Md. Akhtaruzzaman ; Nielsen, Rasmus. / Credit constraints and aquaculture productivity. In: Aquaculture Economics & Management. 2019 ; Vol. 23, No. 4. pp. 410-427.

Bibtex

@article{fffa6045149b4304b6b5842c9ebf2fc4,
title = "Credit constraints and aquaculture productivity",
abstract = "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.",
author = "Sandip Mitra and Khan, {Md. Akhtaruzzaman} and Rasmus Nielsen",
year = "2019",
doi = "10.1080/13657305.2019.1641571",
language = "English",
volume = "23",
pages = "410--427",
journal = "Aquaculture, Economics and Management",
issn = "1365-7305",
publisher = "Taylor & Francis",
number = "4",

}

RIS

TY - JOUR

T1 - Credit constraints and aquaculture productivity

AU - Mitra, Sandip

AU - Khan, Md. Akhtaruzzaman

AU - Nielsen, Rasmus

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

U2 - 10.1080/13657305.2019.1641571

DO - 10.1080/13657305.2019.1641571

M3 - Journal article

VL - 23

SP - 410

EP - 427

JO - Aquaculture, Economics and Management

JF - Aquaculture, Economics and Management

SN - 1365-7305

IS - 4

ER -

ID: 225177444