Cotton yield and Climate Change Adaptation in Pakistan: Application of Multinomial Endogenous Switching Regression Model
Purpose: Cotton is the backbone of Pakistan economy, as country is the 4th largest producer of cotton in the world. Despite this importance there is steep decline in cotton production over time due to climate change. The need to evaluate the potential of adaptation in improving cotton yield has nec...
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doaj-b095b0bf9b0842e49a832b7e583e57ad2021-08-18T23:40:13ZengCSRC PublishingJournal of Business and Social Review in Emerging Economies2519-089X2519-03262021-08-0173Cotton yield and Climate Change Adaptation in Pakistan: Application of Multinomial Endogenous Switching Regression ModelAisha Siddiqua0Aftab Anwar1Muhammad Masood Anwar2Jamshaid Ur Rehman3IPFP Fellow, University of Education, Lahore PakistanAssistant Professor, Department of Economics, University of Education, Lahore PakistanAssistant Professor, Women University of Azad Jammu Kashmir, Bagh PakistanAssistant Professor, Government College University, Lahore Pakistan Purpose: Cotton is the backbone of Pakistan economy, as country is the 4th largest producer of cotton in the world. Despite this importance there is steep decline in cotton production over time due to climate change. The need to evaluate the potential of adaptation in improving cotton yield has necessitated this study. Design/Methodology/Approach: This study is based on the farm household survey of four cotton producing districts, two from each Punjab and Sindh that were purposively selected from heat stress regions of Pakistan. Data were analyzed through multinomial endogenous switching regression model and treatment effect framework. Findings: Farm management practices were evaluated for their significance in reducing adverse impacts of climatic extremes on cotton yield. Adaptation in the combination of first three strategies observed to be the most successful strategies in increasing yield. Implications/Originality/Value: For effective adaptation access to credit and extension, education, farming experience, and sources of information revealed to be important predictors https://www.publishing.globalcsrc.org/ojs/index.php/jbsee/article/view/1828AdaptationClimate ChangeCotton farmingMultinomial Endogenous SwitchingTreatment effect |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aisha Siddiqua Aftab Anwar Muhammad Masood Anwar Jamshaid Ur Rehman |
spellingShingle |
Aisha Siddiqua Aftab Anwar Muhammad Masood Anwar Jamshaid Ur Rehman Cotton yield and Climate Change Adaptation in Pakistan: Application of Multinomial Endogenous Switching Regression Model Journal of Business and Social Review in Emerging Economies Adaptation Climate Change Cotton farming Multinomial Endogenous Switching Treatment effect |
author_facet |
Aisha Siddiqua Aftab Anwar Muhammad Masood Anwar Jamshaid Ur Rehman |
author_sort |
Aisha Siddiqua |
title |
Cotton yield and Climate Change Adaptation in Pakistan: Application of Multinomial Endogenous Switching Regression Model |
title_short |
Cotton yield and Climate Change Adaptation in Pakistan: Application of Multinomial Endogenous Switching Regression Model |
title_full |
Cotton yield and Climate Change Adaptation in Pakistan: Application of Multinomial Endogenous Switching Regression Model |
title_fullStr |
Cotton yield and Climate Change Adaptation in Pakistan: Application of Multinomial Endogenous Switching Regression Model |
title_full_unstemmed |
Cotton yield and Climate Change Adaptation in Pakistan: Application of Multinomial Endogenous Switching Regression Model |
title_sort |
cotton yield and climate change adaptation in pakistan: application of multinomial endogenous switching regression model |
publisher |
CSRC Publishing |
series |
Journal of Business and Social Review in Emerging Economies |
issn |
2519-089X 2519-0326 |
publishDate |
2021-08-01 |
description |
Purpose: Cotton is the backbone of Pakistan economy, as country is the 4th largest producer of cotton in the world. Despite this importance there is steep decline in cotton production over time due to climate change. The need to evaluate the potential of adaptation in improving cotton yield has necessitated this study.
Design/Methodology/Approach: This study is based on the farm household survey of four cotton producing districts, two from each Punjab and Sindh that were purposively selected from heat stress regions of Pakistan. Data were analyzed through multinomial endogenous switching regression model and treatment effect framework.
Findings: Farm management practices were evaluated for their significance in reducing adverse impacts of climatic extremes on cotton yield. Adaptation in the combination of first three strategies observed to be the most successful strategies in increasing yield.
Implications/Originality/Value: For effective adaptation access to credit and extension, education, farming experience, and sources of information revealed to be important predictors
|
topic |
Adaptation Climate Change Cotton farming Multinomial Endogenous Switching Treatment effect |
url |
https://www.publishing.globalcsrc.org/ojs/index.php/jbsee/article/view/1828 |
work_keys_str_mv |
AT aishasiddiqua cottonyieldandclimatechangeadaptationinpakistanapplicationofmultinomialendogenousswitchingregressionmodel AT aftabanwar cottonyieldandclimatechangeadaptationinpakistanapplicationofmultinomialendogenousswitchingregressionmodel AT muhammadmasoodanwar cottonyieldandclimatechangeadaptationinpakistanapplicationofmultinomialendogenousswitchingregressionmodel AT jamshaidurrehman cottonyieldandclimatechangeadaptationinpakistanapplicationofmultinomialendogenousswitchingregressionmodel |
_version_ |
1721202551331749888 |