Scholarlink

<p>Agricultural carbon emissions, a significant source of greenhouse gases, threaten both food security and the ecological environment. The development of the digital economy presents new opportunities and pathways for reducing these emissions. This study employs a spatial econometric model to conduct an empirical analysis using panel data from 30 provinces in China. The findings reveal that: (1) The digital economy can significantly reduce agricultural carbon emissions. (2) Environmental governance and fiscal expenditure can strengthen the agricultural reduction effects of the digital economy. (3) Digital economy advancement in neighboring areas significantly reduces local agricultural carbon emissions, indicating a notable spatial spillover effect. (4) Increases in agricultural machinery levels, disaster-affected areas, and disposable income in neighboring regions contribute to higher local agricultural carbon emissions. (5) There is significant temporal and regional heterogeneity in both the direct and spatial spillover effects. Through spillover effect analysis, potential opportunities for cross-regional collaboration can be identified. Studying the moderating effects can provide a basis for building a long-term and stable carbon reduction mechanism.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Spatial spillover heterogeneity and moderated effects of the digital economy on agricultural carbon emissions: evidence from 30 Chinese provinces

  • 期刊论文

  • 发表日期：

    2025年1月23日

查看全文
  • Zhen Guo,
  • Chin Siong Ho,
  • Gabriel Hoh Teck Ling,
  • Mohamad Fadhli Rashid

摘要

Agricultural carbon emissions, a significant source of greenhouse gases, threaten both food security and the ecological environment. The development of the digital economy presents new opportunities and pathways for reducing these emissions. This study employs a spatial econometric model to conduct an empirical analysis using panel data from 30 provinces in China. The findings reveal that: (1) The digital economy can significantly reduce agricultural carbon emissions. (2) Environmental governance and fiscal expenditure can strengthen the agricultural reduction effects of the digital economy. (3) Digital economy advancement in neighboring areas significantly reduces local agricultural carbon emissions, indicating a notable spatial spillover effect. (4) Increases in agricultural machinery levels, disaster-affected areas, and disposable income in neighboring regions contribute to higher local agricultural carbon emissions. (5) There is significant temporal and regional heterogeneity in both the direct and spatial spillover effects. Through spillover effect analysis, potential opportunities for cross-regional collaboration can be identified. Studying the moderating effects can provide a basis for building a long-term and stable carbon reduction mechanism.