An empirical analysis of climate transition: a global outlook of agriculture productivity

IF 1.9 Q2 ECONOMICS
Zubair Tanveer, Rukhsana Kalim
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引用次数: 0

Abstract

Purpose

This study has empirically investigated the impacts of climate change on agricultural productivity worldwide, considering the ranking of agriculture productivity. Additionally, the study has estimated the extent to which climate change favoured agriculture productivity from a global perspective.

Design/methodology/approach

The study prepared a suitable econometric model and employed the quantile panel Autoregressive Distributed Lag technique with a two-step Error Correction Mechanism to assess the influence of global warming on worldwide agrarian productivity.

Findings

The estimated results provide evidence for the nonlinear impacts of climate change on agriculture productivity across all quantiles. Moreover, threshold levels of average annual temperature rise with the improvement of agricultural productivity, depicting that low-productive areas are highly vulnerable to global warming. Additionally, agricultural inputs like labour, capital and irrigated land are positively related to agricultural productivity, with relatively substantial marginal productivity in highly productive regions. Nevertheless, technological innovations are found to be more productive in low-productive areas.

Practical implications

Policymakers should prioritize region-specific climate-smart agriculture by targeting policies to increase agricultural productivity and minimize the effects of climate change on food security and nutrition.

Originality/value

Despite significant research in this area, there remains a knowledge gap on the nature of this relationship, especially regarding productivity thresholds under warming. The study aims to fill this gap, offering valuable insights to guide policy actions and adaptation strategies to mitigate the adverse impacts of climate change on agriculture productivity.

气候转型实证分析:全球农业生产力展望
目的 本研究通过实证调查气候变化对全球农业生产率的影响,同时考虑到农业生产率的排名。此外,研究还从全球角度估算了气候变化对农业生产率的有利程度。研究准备了一个合适的计量经济学模型,并采用了带有两步误差修正机制的量级面板自回归分布滞后技术,以评估全球变暖对全球农业生产率的影响。研究结果估算结果证明了气候变化对所有量级农业生产率的非线性影响。此外,随着农业生产率的提高,年平均气温的临界值也在上升,这表明低生产率地区极易受到全球变暖的影响。此外,劳动力、资本和灌溉土地等农业投入与农业生产率呈正相关,高产地区的边际生产率相对较高。实践意义政策制定者应优先考虑针对特定地区的气候智能型农业,有针对性地制定政策,提高农业生产率,最大限度地减少气候变化对粮食安全和营养的影响。原创性/价值尽管在这一领域开展了大量研究,但在这一关系的性质方面仍存在知识空白,特别是在气候变暖条件下的生产率阈值方面。本研究旨在填补这一空白,为指导政策行动和适应战略提供有价值的见解,以减轻气候变化对农业生产力的不利影响。
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来源期刊
CiteScore
4.00
自引率
5.90%
发文量
59
期刊介绍: The Journal of Economic Studies publishes high quality research findings and commentary on international developments in economics. The journal maintains a sound balance between economic theory and application at both the micro and the macro levels. Articles on economic issues between individual nations, emerging and evolving trading blocs are particularly welcomed. Contributors are encouraged to spell out the practical implications of their work for economists in government and industry
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