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<p>Currently, within the framework of China’s “dual carbon” goals—aiming to reach a carbon peak by 2030 and achieve carbon neutrality by 2060—agriculture plays a dual role as both a carbon source and a carbon sink. It holds significant potential for carbon sequestration and emission reduction. Therefore, studying the spatial and temporal evolution patterns and driving factors of regional agricultural carbon emission efficiency (ACEE) is crucial for advancing low-carbon agricultural development. This study analyzes agricultural carbon emission data from the Yangtze River Delta (YRD) region spanning the years 2001 to 2020. It utilizes the Super-SBM model and the Global Malmquist-Luenberger (GML) index to investigate the temporal and spatial characteristics of ACEE from both static and dynamic perspectives. Furthermore, the Tobit model is employed to identify the key factors influencing ACEE. The results confirmed that: (1) From the perspective of static efficiency, the average ACEE value from 2001 to 2020 was 0.83, with the ACEE values ranked from highest to lowest as follows: Jiangsu, Shanghai, Zhejiang, and Anhui. (2) From the perspective of dynamic efficiency, the ACEE exhibits an upward trend, with an average annual growth rate of 2.10%. Technological advancements can enhance the improvement of the GML index. (3) The use of pesticides, rural electricity consumption, agricultural industrial structure, and the level of rural economic development all significantly contribute to the enhancement of ACEE. Hence, the government should develop policies that reflect the current state of regional agricultural carbon emissions, tailored to local conditions. By optimizing agricultural production structures and regional layouts, introducing innovative green technologies, and implementing a range of additional measures, it can collaboratively enhance the improvement of ACEE in the YRD region, thereby contributing to China “dual carbon” goals.</p>

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Analysis of the spatial-temporal characteristics and influencing factors of carbon emission efficiency in the Yangtze river delta region of China under the “dual carbon” goals

  • 期刊论文

  • 发表日期：

    2025年10月13日

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  • Mengyao Wang,
  • Chun Hu,
  • Qingrong Jiang,
  • Tengyu Shan,
  • Tingdan Xue,
  • Yaodong Xiao,
  • Ruidong Tao,
  • Yunjun Mei

摘要

Currently, within the framework of China’s “dual carbon” goals—aiming to reach a carbon peak by 2030 and achieve carbon neutrality by 2060—agriculture plays a dual role as both a carbon source and a carbon sink. It holds significant potential for carbon sequestration and emission reduction. Therefore, studying the spatial and temporal evolution patterns and driving factors of regional agricultural carbon emission efficiency (ACEE) is crucial for advancing low-carbon agricultural development. This study analyzes agricultural carbon emission data from the Yangtze River Delta (YRD) region spanning the years 2001 to 2020. It utilizes the Super-SBM model and the Global Malmquist-Luenberger (GML) index to investigate the temporal and spatial characteristics of ACEE from both static and dynamic perspectives. Furthermore, the Tobit model is employed to identify the key factors influencing ACEE. The results confirmed that: (1) From the perspective of static efficiency, the average ACEE value from 2001 to 2020 was 0.83, with the ACEE values ranked from highest to lowest as follows: Jiangsu, Shanghai, Zhejiang, and Anhui. (2) From the perspective of dynamic efficiency, the ACEE exhibits an upward trend, with an average annual growth rate of 2.10%. Technological advancements can enhance the improvement of the GML index. (3) The use of pesticides, rural electricity consumption, agricultural industrial structure, and the level of rural economic development all significantly contribute to the enhancement of ACEE. Hence, the government should develop policies that reflect the current state of regional agricultural carbon emissions, tailored to local conditions. By optimizing agricultural production structures and regional layouts, introducing innovative green technologies, and implementing a range of additional measures, it can collaboratively enhance the improvement of ACEE in the YRD region, thereby contributing to China “dual carbon” goals.