Credit, tenancy choice and agricultural efficiency: Evidence from the northern region of Bangladesh
Sayema Bidisha (),
Md. Amzad Hossain,
Rubaiyat Alam and
Md. Mehedi Hasan
Economic Analysis and Policy, 2018, vol. 57, issue C, 22-32
Abstract:
Using both household level and plot-level data from Northern Bangladesh, this paper analyzes the difference in agricultural productivity across different contractual arrangements among ultra-poor households. Employing the fixed-effect model on the pseudo panel data, the paper finds evidence of sub-optimal use of inputs and, consequently, lower productivity for lands cultivated under sharecropping contracts. The inefficiency on the part of sharecroppers is also evident from the stochastic frontier model. Although the paper finds that credit has no direct impact on productivity, the results of Logit estimates suggest that availability of credit induces households to opt for fixed-rental contracts.
Keywords: Agricultural productivity; Technical efficiency; Stochastic frontier model; Tenancy contact (search for similar items in EconPapers)
JEL-codes: C51 Q12 Q15 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0313592617300504
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Credit, Tenancy Choice and Agricultural Efficiency: Evidences from the Northern Region of Bangladesh (2017) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:57:y:2018:i:c:p:22-32
DOI: 10.1016/j.eap.2017.10.001
Access Statistics for this article
Economic Analysis and Policy is currently edited by Clevo Wilson
More articles in Economic Analysis and Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().