College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China.
School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China.
Int J Environ Res Public Health. 2022 Jul 30;19(15):9326. doi: 10.3390/ijerph19159326.
The carbon emission level and spatiotemporal characteristics in Hubei Province were estimated and studied using the Intergovernmental Panel on Climate Change (IPCC) carbon emission coefficient technique based on county data from Hubei Province from 2000 to 2020. The relationship between carbon emissions from cultivated land utilization and agricultural economic growth was examined using the Tapio decoupling index, and the factors influencing carbon emissions in Hubei Province were further examined using the Logarithmic Mean Divisia Index (LMDI model). The results demonstrate that: (1) Spatiotemporal variations in carbon emissions are evident. In terms of time, the volume of carbon emissions in Hubei Province is still substantial, and the transition to low-carbon land use is quite gradual. Geographically, the high-value region of the middle east coexists with the low-value zone of the west, with apparent regional contrasts. (2) The decoupling between carbon emissions and agricultural economic growth is becoming more and more obvious in Hubei Province. The number of counties and cities in a negative decoupling state has significantly decreased, and the majority of counties are now in a strong decoupling condition. (3) Agricultural production efficiency is the most significant driving factor for restricting carbon emission, according to the decomposition results of carbon emission driving factors based on the LMDI model. In addition, the results of sample decomposition based on topographic characteristics indicate that agricultural production efficiency is primarily responsible for the suppression of carbon emissions in flat regions. The increase in carbon emissions in hilly regions is primarily influenced by agricultural productivity. The increase in carbon emissions in mountainous regions is mostly influenced by agricultural labor intensity. This study's finding has enlightening implications for the high-quality growth of agriculture.
利用基于县（市）数据的 IPCC 碳排放系数法，对湖北省 2000—2020 年碳排放水平及时空特征进行估算研究。采用 Tapio 脱钩指数模型，分析了耕地利用碳排放与农业经济增长的关系，运用对数平均迪氏指数（LMDI）模型进一步探讨了湖北省碳排放的影响因素。结果表明：（1）碳排放具有显著的时空分异特征。时间上，湖北省碳排放总量依然较大，向低碳土地利用转型较为缓慢；空间上，中东部高值区与西部低值区并存，区域差异明显。（2）湖北省碳排放量与农业经济增长的脱钩关系日益明显，负脱钩的县（市）数量明显减少，多数县（市）处于强脱钩状态。（3）基于 LMDI 模型的碳排放驱动因素分解结果表明，农业生产效率是制约碳排放量的最主要因素，地形特征分解结果表明，平原地区碳减排主要归因于农业生产效率的提升，丘陵地区碳排放量的增加主要受农业生产力的影响，山区碳排放量的增加主要受农业劳动强度的影响。本研究对农业高质量发展具有启示意义。
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