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<p>Researching the agricultural carbon emission efficiency (ACEE) of the Yangtze River Economic Belt (YEB) has significant theoretical and policy implications for promoting high− quality agricultural development and achieving China’s “dual carbon” goals. Based on the agricultural generation panel data from the YEB spanning 2001 to 2021, the Super-SBM model for undesirable outputs is employed to calculate the ACEE for 11 provinces and cities. Additionally, kernel density estimation and Moran’s <i>I</i> index are utilized to analyze the temporal and spatial evolution characteristics of ACEE. Furthermore, a spatial Durbin model is applied to investigate the key factors influencing ACEE in the YEB and their spatial spillover effects. Empirical results indicate that from 2001 to 2021, the ACEE within the YEB has demonstrated a fluctuating upward trend, with significant geographical disparities among the provinces and cities along the route. In terms of spatial distribution, ACEE is characterized by a pattern of downstream &gt; midstream &gt; upstream, reflecting an overall trend of “higher in the east and lower in the west, and the ACEE in the YEB exhibits characteristics of spatial aggregation. ACEE exhibits a significant positive spatial spillover effect in theYEB. Key factors influencing the enhancement of ACEE include the level of mechanization and the agricultural industrial structure. Conversely, the use of pesticides serves as the primary constraint hindering the improvement of ACEE. Based on the research findings, policy recommendations have been proposed to promote green, low-carbon agriculture and enhance high-quality agricultural development in the YEB.</p>

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Spatial and temporal pattern changes and spatial spillover effects of agricultural carbon emission efficiency in the Yangtze River economic belt of China

  • 期刊论文

  • 发表日期：

    2025年2月6日

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  • Mengyao Wang,
  • Qingrong Jiang,
  • Tingdan Xue,
  • Yaodong Xiao,
  • Tengyu Shan,
  • Zihan Liu,
  • Hao Li,
  • Chun Hu

摘要

Researching the agricultural carbon emission efficiency (ACEE) of the Yangtze River Economic Belt (YEB) has significant theoretical and policy implications for promoting high− quality agricultural development and achieving China’s “dual carbon” goals. Based on the agricultural generation panel data from the YEB spanning 2001 to 2021, the Super-SBM model for undesirable outputs is employed to calculate the ACEE for 11 provinces and cities. Additionally, kernel density estimation and Moran’s I index are utilized to analyze the temporal and spatial evolution characteristics of ACEE. Furthermore, a spatial Durbin model is applied to investigate the key factors influencing ACEE in the YEB and their spatial spillover effects. Empirical results indicate that from 2001 to 2021, the ACEE within the YEB has demonstrated a fluctuating upward trend, with significant geographical disparities among the provinces and cities along the route. In terms of spatial distribution, ACEE is characterized by a pattern of downstream > midstream > upstream, reflecting an overall trend of “higher in the east and lower in the west, and the ACEE in the YEB exhibits characteristics of spatial aggregation. ACEE exhibits a significant positive spatial spillover effect in theYEB. Key factors influencing the enhancement of ACEE include the level of mechanization and the agricultural industrial structure. Conversely, the use of pesticides serves as the primary constraint hindering the improvement of ACEE. Based on the research findings, policy recommendations have been proposed to promote green, low-carbon agriculture and enhance high-quality agricultural development in the YEB.