论文部分内容阅读
基于各要素调整比例不同的Russell方向性距离函数数据包络分析模型,对中国各省份考虑能源环境情况下总的非效率和碳排放非效率进行测算,并计算了碳排放的非效率占整个非效率项的大小。结果表明,各省份总的非效率存在较大的差异,北京、上海、广东这三个省份各年都处在前沿面上,碳排放的非效率不是各省份非效率的主要原因。此外,计算了全要素生产率指数的增长情况,并进行分解,得到碳排放的全要素生产率指数,研究发现碳排放的全要素生产率指数占总的指数部分较大,且碳排放的全要素生产率指数多数是正的,对总的全要素生产率指数的上升起到积极的作用。对碳排放的全要素生产率进行分解发现,碳排放的全要素生产率指数上升的贡献主要来自技术进步,技术效率有待提高。
Based on the Russell directional distance function data envelopment analysis model with different proportions of each factor adjustment, the total inefficiency and non-efficiency of carbon emissions in China’s provinces considering energy and environment are calculated and the inefficiency of carbon emissions accounting for the entire non-efficiency The size of the efficiency item. The results show that there is a big difference in the total inefficiency among provinces, with Beijing, Shanghai and Guangdong provinces at the forefront in each year. The inefficiency of carbon emissions is not the main reason for the inefficiency of provinces. In addition, the growth of total factor productivity index was calculated and decomposed to obtain the total factor productivity index of carbon emission. The study found that the total factor productivity index of carbon emissions accounted for a larger part of the total index, and the total factor productivity index of carbon emissions Most of them are positive, which plays a positive role in the rise of the total TFP index. The decomposition of total factor productivity of carbon emissions found that the contribution of the total factor productivity index of carbon emissions rose mainly from technological progress and technical efficiency needs to be improved.