Climate and political effects on agriculture: Empirical evidence from SSA

IF 0.5 4区 经济学 Q4 ECONOMICS
Defaru Adugna Feye, Amsalu Bedemo Beyene, Suchitra Krishna Kumar
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Abstract

The most of Sub-Saharan African (SSA) countries have been affected by climate change and food insecurity problems due to the reduction of production and productivity of cereal crops in the continent. The purpose of this research was to examine the short-run and long-run effects of climate change on agricultural productivity in 24 selected SSA countries. In the study, a systematic Generalized Method of Moments (GMM) Model was used with recent data from 24 SSA countries from 2001 to 2020. The panel regression result revealed that temperature and precipitation showed positive significant effects whereas carbon dioxide emission had negatively influenced the cereal crop productivity in the region. Specifically, the empirical result indicates that a one percent increase in precipitation increases cereal crop productivity by 0.27%. The empirical result of the GMM model revealed that political stability, temperature, GDP per capita, trade openness, carbon dioxide emission, fertilizer consumption, and precipitation have both short-run and long-run effects, while precipitation has only a short-run effect on agricultural productivity in the study area. A key implication of this work is the realization of the lagging effects of climate change in determining cereal crop production and productivity. This study was unable to include all SSA countries because the excluded countries did not have sufficient data on the selected variables in the study. Hence, adopting high-temperature and drought-resistant types of enhanced cereal crops is advised to combat the negative effects of climate change in the study area.

Abstract Image

气候和政治对农业的影响:来自SSA的经验证据
撒哈拉以南非洲(SSA)的大多数国家都受到气候变化和粮食不安全问题的影响,原因是该大陆谷物作物的产量和生产力下降。本研究的目的是考察气候变化对24个选定的SSA国家农业生产力的短期和长期影响。在研究中,使用了一个系统的广义矩量方法(GMM)模型,该模型使用了24个SSA国家2001 - 2020年的最新数据。面板回归结果显示,温度和降水对该地区的粮食作物生产力有显著的正向影响,而二氧化碳排放对该地区的粮食作物生产力有负向影响。具体而言,实证结果表明,降水每增加1%,谷类作物的生产力就会提高0.27%。GMM模型的实证结果显示,政治稳定、气温、人均GDP、贸易开放、二氧化碳排放、肥料消耗和降水对研究区域的农业生产率既有短期影响,也有长期影响,而降水对研究区域的农业生产率只有短期影响。这项工作的一个关键含义是实现了气候变化在决定谷类作物产量和生产力方面的滞后效应。这项研究无法包括所有的SSA国家,因为被排除的国家没有足够的关于研究中所选变量的数据。因此,建议采用高温抗旱型增强型谷类作物来应对研究区气候变化的负面影响。
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