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<p>The destabilization of Earth’s climate systems has emerged as a critical scientific and policy challenge, primarily driven by accumulation of greenhouse gas emissions Agriculture is the second-largest source of carbon emissions, and the move towards agricultural decarbonization and greening is necessary for future development. China has long been influenced by a system of political promotions based on GDP performance, but this has sacrificed the environment for economic growth. In recent years, China’s attention has shifted to environmental governance. However, it is unknown whether local government environmental attention (GEA) expressed in documents has transitioned to the level of actual implementation and reduced agricultural-land carbon emissions (ACEs). The investigation is grounded in a comprehensive prefecture-level cities in China, we employ text analysis methods to measure GEA and utilize spatial econometric models to analyze its impact on ACEs. We found that local governments’ GEA significantly reduced ACEs. Through establishing different distance weight matrices, we also found a spillover effect whereby neighboring areas within 400&#xa0;km also showed reduced ACEs. The GEA affects ACEs primarily through two mechanisms: enhancing green technology innovation (Gti) and reducing agricultural pollutant use rate (Apr). The reduction of Apr and Gti have lowered agricultural ACEs levels, while generating a spillover effect on ACEs reduction in surrounding regions, facilitating interregional low-carbon agricultural transitions through knowledge diffusion and pollution control emulation. Heterogeneity analyses demonstrated that the effect of GEA on ACE reduction was stronger in China’s main grain-producing areas, the central and western regions, and the southern cities.</p>

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Effects of local government environmental attention on agricultural-land carbon emissions in China: a spatial survey

  • 期刊论文

  • 发表日期：

    2025年6月5日

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  • Lu Wang,
  • Mingzhong Luo,
  • Jingyi Dai,
  • Ying Tan

摘要

The destabilization of Earth’s climate systems has emerged as a critical scientific and policy challenge, primarily driven by accumulation of greenhouse gas emissions Agriculture is the second-largest source of carbon emissions, and the move towards agricultural decarbonization and greening is necessary for future development. China has long been influenced by a system of political promotions based on GDP performance, but this has sacrificed the environment for economic growth. In recent years, China’s attention has shifted to environmental governance. However, it is unknown whether local government environmental attention (GEA) expressed in documents has transitioned to the level of actual implementation and reduced agricultural-land carbon emissions (ACEs). The investigation is grounded in a comprehensive prefecture-level cities in China, we employ text analysis methods to measure GEA and utilize spatial econometric models to analyze its impact on ACEs. We found that local governments’ GEA significantly reduced ACEs. Through establishing different distance weight matrices, we also found a spillover effect whereby neighboring areas within 400 km also showed reduced ACEs. The GEA affects ACEs primarily through two mechanisms: enhancing green technology innovation (Gti) and reducing agricultural pollutant use rate (Apr). The reduction of Apr and Gti have lowered agricultural ACEs levels, while generating a spillover effect on ACEs reduction in surrounding regions, facilitating interregional low-carbon agricultural transitions through knowledge diffusion and pollution control emulation. Heterogeneity analyses demonstrated that the effect of GEA on ACE reduction was stronger in China’s main grain-producing areas, the central and western regions, and the southern cities.