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作 者:肖锐 尹忞昊 XIAO Rui;YIN Minhao(Department of Social and Ecdogical Civilization,Party School of Yunnan Committee of C.P.C.,Kunming Yunnan 650111,China;School of Business Administration,Zhongnan University of Economics and Law,Wuhan Hubei 430073,China)
机构地区:[1]中共云南省委党校社会和生态文明教研部,云南昆明650111 [2]中南财经政法大学工商管理学院,湖北武汉430073
出 处:《生态经济》2023年第10期40-47,共8页Ecological Economy
基 金:2023年度云南省委党校(行政学院)校级科研课题“大兴调查研究推动党的创新理论向实践转化研究”(2023YNDXXJ51);2023年度云南省委党校(行政学院)校级科研课题“中国式现代化视域下云南推进碳达峰碳中和的关键问题研究”(2023YNDXXJ17);中南财经政法大学研究生科研创新项目“中国农村碳排放区域差异、动态演进及空间分异机理”(202311006)。
摘 要:基于2006—2020年中国30个省份的面板数据,采用超效率SBM模型对我国农村能源碳排放效率进行测度,在此基础上,运用泰尔指数考察居民收入权重下我国农村能源碳排放效率区域差异及其演变特征,并通过面板Tobit模型分析居民收入水平与农村能源碳排放效率的非线性影响关系。结果表明:(1)我国农村能源碳排放效率总体呈波动上升趋势,省域间有较大差异且存在扩大趋势。(2)我国农村能源碳排放效率泰尔指数值总体呈波动上升态势,区域内差异大小以及各区域差异对全国总体差异的贡献度排序均为“东部>西部>中部”。(3)居民收入水平对农村能源碳排放效率具有正向影响作用,从影响程度来看,中部地区最明显,东部地区次之,西部地区较弱。Based on the panel data of 30 provinces in Chinese mainland from 2006 to 2020,the Super-efficiency SBM model is adopted to measure the carbon emission effciency of rural energy in China.On this basis,Using Theil Index to investigate the regional differences and evolution characteristics of rural energy carbon emission efficiency under the weight of residents'income,the nonlinear influence relationship between residents'income level and rural energy carbon emission efficiency is analyzed by panel Tobit model.The results are:(1)China's rural energy carbon emission efficiency is generally fluctuating and rising,there are big differences among provinces and there is an expanding trend.(2)The Theil Index of China's rural energy carbon emission efficiency is generally fluctuating and rising,and the order of regional differences and their contribution to the national overall differences is"Eastern>Western>Midlands".(3)Residents'income level has a positive impact on rural energy carbon emission efficiency.From the perspective of the degree of impact,Midlands is the most obvious,followed by the Eastern,and the Western is weak.
分 类 号:F323.214[经济管理—产业经济] F323.8[环境科学与工程—环境科学] X22
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