Scholarlink

<p>Agricultural greenhouse gas (AGHG) emissions account for 17% of the domestic emissions in China, with over 35% driven by interprovincial trade. This study uses a multi-regional input-output (MRIO) model to simulate the spatiotemporal patterns and network characteristics of interprovincial AGHG emission flows in China from 2002 to 2017, and analyses the implications for emission reduction of these flows. The results show that the proportion of interprovincial AGHG emission flows in China’s total agricultural emissions has risen from 33.0% to 41.1%. The national AGHG emission flow network has grown increasingly complex over the study period, characterized by higher network density and node degree that endow it with small-world properties, while network concentration has declined. Notably, cumulative node intensity follows a power-law distribution, and community partitioning shows a trend of strengthening internal links alongside reduced flow volumes. More importantly, interprovincial trade has reduced China’s total AGHG emissions by 6.1% (2002) and 7.7% (2017) compared to a hypothetical no-trade scenario. This mitigation effect stems from the fact that over 60% of AGHG emission flows are transferred from high- to low-emission intensity provinces. Thus, optimizing agricultural production and trade based on supply-demand and emission intensity differences, combined with targeted policy mechanisms is essential to further emission reduction in China.</p> Graphical Abstract <p></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

Evolution of interprovincial greenhouse gas emission flows from agricultural sources and their implications for GHG reduction in China

  • 期刊论文

  • 发表日期：

    2026年7月10日

查看全文
  • Xing Ma,
  • Wenli Qiang,
  • Jiayi Liu,
  • Baowen Zhang,
  • Die Huang

摘要

Agricultural greenhouse gas (AGHG) emissions account for 17% of the domestic emissions in China, with over 35% driven by interprovincial trade. This study uses a multi-regional input-output (MRIO) model to simulate the spatiotemporal patterns and network characteristics of interprovincial AGHG emission flows in China from 2002 to 2017, and analyses the implications for emission reduction of these flows. The results show that the proportion of interprovincial AGHG emission flows in China’s total agricultural emissions has risen from 33.0% to 41.1%. The national AGHG emission flow network has grown increasingly complex over the study period, characterized by higher network density and node degree that endow it with small-world properties, while network concentration has declined. Notably, cumulative node intensity follows a power-law distribution, and community partitioning shows a trend of strengthening internal links alongside reduced flow volumes. More importantly, interprovincial trade has reduced China’s total AGHG emissions by 6.1% (2002) and 7.7% (2017) compared to a hypothetical no-trade scenario. This mitigation effect stems from the fact that over 60% of AGHG emission flows are transferred from high- to low-emission intensity provinces. Thus, optimizing agricultural production and trade based on supply-demand and emission intensity differences, combined with targeted policy mechanisms is essential to further emission reduction in China.

Graphical Abstract