中国农业碳排放量测算及影响因素分析——基于省级面板数据的研究  

Calculation of agricultural carbon emission and analysis of influencing factors in China:Research based on the data of provincial panel

作　　者：张颂心[1] ZHANG Song-xin(Taizhou Vocational and Technical College,Taizhou 318000,Zhejiang,China)

机构地区：[1]台州职业技术学院,浙江台州318000

出　　处：《湖北农业科学》2021年第1期60-64,95,共6页Hubei Agricultural Sciences

基　　金：教育部人文社会科学研究项目(18YJCZH245);浙江省哲学社会科学规划课题(19NDJC393YBM)。

摘　　要：利用省级面板数据,对中国农业碳排放量和碳排放强度进行测算,并分析空间差异和时间趋势。同时,根据Kaya恒等式与LMDI指数分解方法总结对中国农业碳排放量产生显著影响的因素。结果显示,2000—2018年农业碳排放强度、非城镇化水平和人力资源投入为碳排放抑制的主要因素,而农业结构、农业生产效率和经济规模水平是碳排放的主要促进因素。Based on the provincial panel data,the agricultural carbon emissions and carbon emission intensity in China was estimated,and the spatial differences and temporal trends was analyzed.At the same time,according to Kaya identity and LMDI index decomposition method,the factors that have significant impact on China’s agricultural carbon emissions were summarized.The results showed that from 2000 to 2018,the intensity of agricultural carbon emissions,the level of non-urbanization and human resources investment were the main factors to curb carbon emissions,while the agricultural structure,agricultural production efficiency and economic scale were the main promoting factors of carbon emissions.

关 键 词：低碳农业 影响因素 碳排放量 碳排放强度 

分 类 号：F323.22[经济管理—产业经济]