How large is the farm income loss due to climate change? Evidence from India

IF 4.4 2区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
R. Kalli, P. Jena
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引用次数: 6

Abstract

PurposeClimate change is the most concerned issue in the global economy; increase in climate variability and uncertain climate events have caused distress in agriculture sector. The study estimates economic effect of climate change on agriculture income for the Indian state of Karnataka. The study reports the difference of result from past studies, where estimates from present study indicate higher negative impact of rise in temperature.Design/methodology/approachFixed effect panel regression method was used to examine change in agriculture revenue to climate response. Climate variables were classified based on the crop calendar to capture the damage caused by climate change. The authors use fine scale climate data set constructed at regional context for 20 districts and time period of 21 years (1992–2012).FindingsThe result showed that with 1-degree rise in average maximum temperature, the revenue declined by 17–21%. The prediction behavior of the different models was evaluated using out-of-sample forecast approach by training and testing historical data set.Originality/valueThe study adopts recent data sets on agriculture and the updated climate variables to estimate the climate change impact on agriculture. The study yields the better results when compared to previous traditional models applied in literature in Indian context. The study further evaluates the prediction behavior and robustness of the estimated models using out-of-sample forecast method.
气候变化造成的农业收入损失有多大?来自印度的证据
目的气候变化是全球经济中最受关注的问题;气候变异性的增加和不确定的气候事件给农业部门带来了困境。该研究估计了气候变化对印度卡纳塔克邦农业收入的经济影响。该研究报告了与过去研究结果的差异,目前研究的估计表明温度上升的负面影响更大。设计/方法/方法固定效应面板回归法用于检验农业收入对气候变化的影响。根据作物日历对气候变量进行分类,以捕捉气候变化造成的损害。作者使用了在区域背景下构建的21年(1992-2012)的精细尺度气候数据集。结果表明,随着平均最高气温上升1度,收入下降了17-21%。通过训练和测试历史数据集,使用样本外预测方法评估不同模型的预测行为。原创性/价值该研究采用了最新的农业数据集和最新的气候变量来估计气候变化对农业的影响。与之前在印度背景下应用于文学的传统模型相比,这项研究产生了更好的结果。该研究使用样本外预测方法进一步评估了估计模型的预测行为和稳健性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
China Agricultural Economic Review
China Agricultural Economic Review AGRICULTURAL ECONOMICS & POLICY-
CiteScore
9.80
自引率
5.90%
发文量
41
审稿时长
>12 weeks
期刊介绍: Published in association with China Agricultural University and the Chinese Association for Agricultural Economics, China Agricultural Economic Review publishes academic writings by international scholars, and particularly encourages empirical work that can be replicated and extended by others; and research articles that employ econometric and statistical hypothesis testing, optimization and simulation models. The journal aims to publish research which can be applied to China’s agricultural and rural policy-making process, the development of the agricultural economics discipline and to developing countries hoping to learn from China’s agricultural and rural development.
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