School of Science, Tianjin University of Commerce, Tianjin, China.
PLoS One. 2024 Aug 29;19(8):e0308399. doi: 10.1371/journal.pone.0308399. eCollection 2024.
As China's second-largest source of greenhouse gas emissions, agriculture is essential to achieving the goal of "carbon peak" and "carbon neutrality." Based on the measurement of agricultural carbon emissions (ACE) and agricultural carbon intensity (ACI) in 19 regions along the Yangtze River Economic Belt (YEB) and Yellow River Basin (YRB) in China from 2001 to 2020, this paper first uses the super-efficiency SBM model to measure ACE efficiency from static and dynamic perspectives. Then, the coupling coordination degree (CCD) between ACE efficiency and green finance in each region of the two basins is explored. Finally, Grey Relation Analysis (GRA) is used to obtain the influencing factors of CCD. The following conclusions are drawn: (1) The ACE in the YEB is almost twice that of the YRB. The ACE of the two basins generally experienced a trend of first growth and then declined, but the peak time was different. The ACI of the two basins showed a trend of continuous decline, and the decline rate of the YRB was faster. (2) The ACE efficiency of the two basins showed an overall upward trend, and the growth degree of different regions was vastly different. From the factor decomposition, the technological progress (TP) of the two basins significantly impacts the total factor productivity (TFP). (3) The CCD of ACE efficiency and green finance in the two basins increased from near imbalance to barely coordination level, and the CCD of the YEB increased slightly faster. The CCD of the two basins has a spatial difference of "downstream > midstream > upstream." (4) Among the influencing factors of the CCD of the two systems, the influencing degree of the factors is as follows from large to small: quality of human capital, level of economic development, government regulation, scientific and technological innovation ability.
作为中国第二大温室气体排放源，农业对于实现“碳达峰”和“碳中和”目标至关重要。本文基于中国长江经济带（YEB）和黄河流域（YRB）19 个地区 2001 年至 2020 年的农业碳排放（ACE）和农业碳强度（ACI）测量数据，首先使用超效率 SBM 模型从静态和动态两个角度测量 ACE 效率。然后，探讨了两个流域各地区 ACE 效率与绿色金融的耦合协调度（CCD）。最后，采用灰色关联分析（GRA）获得 CCD 的影响因素。得出以下结论：（1）YEB 的 ACE 几乎是 YRB 的两倍。两个流域的 ACE 总体呈先增长后下降的趋势，但峰值时间不同。两个流域的 ACI 呈持续下降趋势，YRB 的下降速度更快。（2）两个流域的 ACE 效率均呈总体上升趋势，不同地区的增长程度差异很大。从因素分解来看，两个流域的技术进步（TP）对全要素生产率（TFP）有显著影响。（3）两个流域 ACE 效率与绿色金融的 CCD 从接近不平衡到勉强协调水平增加，YEB 的 CCD 增长略快。两个流域的 CCD 存在“下游>中游>上游”的空间差异。（4）在两个系统 CCD 的影响因素中，影响程度从大到小依次为：人力资本质量、经济发展水平、政府监管、科技创新能力。
