Climate risk and green total factor productivity in agriculture: The moderating role of climate policy uncertainty

In light of the escalating global warming and the escalating frequency of extreme weather events, the agricultural sector, being a fundamental and pivotal industry worldwide, is encountering substantial challenges due to climate change. Using Chinese provincial panel data for 2000-2021, this paper utilizes a two-way fixed-effect model to investigate the impact of Climate Risk (CR) on green total factor productivity in agriculture (AGTFP), with China's climate policy uncertainty (CPU) being introduced as a moderating variable within the research framework to scrutinize its influence in this context. The findings reveal a noteworthy adverse effect of CR on AGTFP, further exacerbated by CPU. Heterogeneity analysis results show that there is a clear regional variation in the effect of CR on AGTFP across different Chinese regions, with CR significantly inhibiting AGTFP development in the northern regions and provinces in major grain producing regions. Consequently, there is a pressing necessity to bolster the establishment of climate change monitoring infrastructures, devise tailored climate adaptation strategies at a regional level, and enhance the clarity and predictability of climate policies to fortify the resilience and sustainability of agricultural production systems.

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Publication Details

Journal
Risk Analysis
Published
2024-09-01
DOI
https://doi.org/10.1111/risa.17639
Citations
15
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
15.44

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article

Climate risk and green total factor productivity in agriculture: The moderating role of climate policy uncertainty

Miao Wang, Xinmin Zhang, Yangle Song
15 citations
Risk Analysis
Climate change impacts on agriculture
15.44
article

Climate risk and green total factor productivity in agriculture: The moderating role of climate policy uncertainty

Miao Wang, Xinmin Zhang, Yangle Song
article en
15 citations

Abstract

In light of the escalating global warming and the escalating frequency of extreme weather events, the agricultural sector, being a fundamental and pivotal industry worldwide, is encountering substantial challenges due to climate change. Using Chinese provincial panel data for 2000-2021, this paper utilizes a two-way fixed-effect model to investigate the impact of Climate Risk (CR) on green total factor productivity in agriculture (AGTFP), with China's climate policy uncertainty (CPU) being introduced as a moderating variable within the research framework to scrutinize its influence in this context. The findings reveal a noteworthy adverse effect of CR on AGTFP, further exacerbated by CPU. Heterogeneity analysis results show that there is a clear regional variation in the effect of CR on AGTFP across different Chinese regions, with CR significantly inhibiting AGTFP development in the northern regions and provinces in major grain producing regions. Consequently, there is a pressing necessity to bolster the establishment of climate change monitoring infrastructures, devise tailored climate adaptation strategies at a regional level, and enhance the clarity and predictability of climate policies to fortify the resilience and sustainability of agricultural production systems.

Risk AnalysisVol. 45(5)
Zhengzhou University (CN), Lanzhou University of Finance and Economics (CN), Zhengzhou Business University (CN)
China Postdoctoral Science Foundation
Climate action
Openalex Percentile: Top 1%
Climate change impacts on agriculture
15.44
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Climate risk and green total factor productivity in agriculture: The moderating role of climate policy uncertainty — Miao Wang, Xinmin Zhang, et al. · Risk Analysis (2024) | TGRS Research Map | TGRS