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

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2024-09-01 DOI:10.1111/risa.17639
Miao Wang, Yangle Song, Xinmin Zhang
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引用次数: 0

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.

气候风险与农业绿色全要素生产率:气候政策不确定性的调节作用。
全球气候变暖加剧,极端天气事件频发,农业作为全球举足轻重的基础产业,正面临着气候变化带来的巨大挑战。本文利用 2000-2021 年中国省级面板数据,采用双向固定效应模型研究气候风险(CR)对农业绿色全要素生产率(AGTFP)的影响,并在研究框架中引入中国气候政策不确定性(CPU)作为调节变量,以考察其在此背景下的影响。研究结果表明,气候政策不确定性对农业全要素生产率(AGTFP)产生了显著的不利影响,而气候政策不确定性又进一步加剧了这种影响。异质性分析结果表明,华润对中国不同地区 AGTFP 的影响存在明显的区域差异,华润对北方地区和粮食主产区省份 AGTFP 的发展有显著抑制作用。因此,迫切需要加强气候变化监测基础设施的建设,在区域层面制定有针对性的气候适应战略,提高气候政策的清晰度和可预测性,以增强农业生产系统的抗灾能力和可持续性。
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
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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