Do Climate Change Adaptation Strategies Deliver Benefits for Farms? Compelling Evidence from the Efficiency-Profitability Relationship in Different Rice-growing Seasons in Bangladesh

ABSTRACT : The aim of the present research is to analyze the connection between climate change adaptation, technical efficiency, and the profitability in the case of Bangladesh's three most important rice-growing seasons—Aus, Aman, and Boro. The study is conducted leveraging farm-based data. Initially, the technical efficiency scores are computed using stochastic frontier analysis (SFA), and then the analysis proceeds to investigate the interaction of climate change adaptation and efficiency in terms of their impact on profitability. A half-normal inefficiency distribution is considered for the base stochastic production frontier, whereas a truncated normal specification is used for robustness checks to determine the effect of the alternative distributional assumptions on the results. Furthermore, climate adaptation is evaluated in two ways: firstly, by counting the total number of strategies applied, and secondly, through a standard adaptation index, both methods ensuring that the conclusions are not affected by scale effects. The empirical results unearth wide-ranging technical inefficiency present in all rice varieties, thus, opening a huge area for the improvement of productivity. Climate adaptation does not uniformly impact efficiency and profitability among crop-growing seasons. In rice farming for the Aus variety, adaptation and technical efficiency seem not to have any effect on profit outcomes at a statistically significant level. However, in the case of Aman rice, adaptation causes a decrease in the short-run technical efficiency, which may be due to learning and adjustment costs, while the efficiency improvements are still the positively linked to the profits. In Boro rice, the technical efficiency is the main factor for the profit increase, while the climate adaptation does not directly affect either efficiency or profit. The above-mentioned findings are strong even when different distributions of inefficiency and adaptation measures are considered. The study, in a nutshell, discloses the diverse impacts of climate adaptation and technical efficiency throughout rice production systems and points to the necessity of crop-specific strategies for the potential realization of efficiency and farm income and profit gain alongside climate change.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-14
DOI
https://doi.org/10.5281/zenodo.18654455
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Do Climate Change Adaptation Strategies Deliver Benefits for Farms? Compelling Evidence from the Efficiency-Profitability Relationship in Different Rice-growing Seasons in Bangladesh

Renato Villano, Omar Al Farooque, Md. Fazlul Haque, Nam Hoang
Zenodo (CERN European Organization for Nuclear Research)
Efficiency Analysis Using DEA
article

Do Climate Change Adaptation Strategies Deliver Benefits for Farms? Compelling Evidence from the Efficiency-Profitability Relationship in Different Rice-growing Seasons in Bangladesh

Renato Villano, Omar Al Farooque, Md. Fazlul Haque, Nam Hoang
article en

Abstract

ABSTRACT : The aim of the present research is to analyze the connection between climate change adaptation, technical efficiency, and the profitability in the case of Bangladesh's three most important rice-growing seasons—Aus, Aman, and Boro. The study is conducted leveraging farm-based data. Initially, the technical efficiency scores are computed using stochastic frontier analysis (SFA), and then the analysis proceeds to investigate the interaction of climate change adaptation and efficiency in terms of their impact on profitability. A half-normal inefficiency distribution is considered for the base stochastic production frontier, whereas a truncated normal specification is used for robustness checks to determine the effect of the alternative distributional assumptions on the results. Furthermore, climate adaptation is evaluated in two ways: firstly, by counting the total number of strategies applied, and secondly, through a standard adaptation index, both methods ensuring that the conclusions are not affected by scale effects. The empirical results unearth wide-ranging technical inefficiency present in all rice varieties, thus, opening a huge area for the improvement of productivity. Climate adaptation does not uniformly impact efficiency and profitability among crop-growing seasons. In rice farming for the Aus variety, adaptation and technical efficiency seem not to have any effect on profit outcomes at a statistically significant level. However, in the case of Aman rice, adaptation causes a decrease in the short-run technical efficiency, which may be due to learning and adjustment costs, while the efficiency improvements are still the positively linked to the profits. In Boro rice, the technical efficiency is the main factor for the profit increase, while the climate adaptation does not directly affect either efficiency or profit. The above-mentioned findings are strong even when different distributions of inefficiency and adaptation measures are considered. The study, in a nutshell, discloses the diverse impacts of climate adaptation and technical efficiency throughout rice production systems and points to the necessity of crop-specific strategies for the potential realization of efficiency and farm income and profit gain alongside climate change.

Zenodo (CERN European Organization for Nuclear Research)
University of Rajshahi (BD), University of New England (AU)
Climate action
Openalex Percentile: Top 59%
Efficiency Analysis Using DEA
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.