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中国省际碳全要素生产率增长及收敛性
引用本文:李强,冯波.中国省际碳全要素生产率增长及收敛性[J].北京理工大学学报(社会科学版),2014,16(3):14-21,29.
作者姓名:李强  冯波
作者单位:1.中国矿业大学 管理学院, 江苏 徐州 221116
基金项目:国家自然科学基金资助项目(71103181);教育部人文社科基金资助项目(13YJC790151);全国统计科研计划重点项目(2010LB10);江苏省社科基金资助项目(12EYB007,13EYC021);中央高校基本科研业务费专项资金资助项目(2013XK11)
摘    要:将碳排放作为生产过程的“坏产出”,通过构建基于序列的Malmquist-Luenberger(SML)指数模型,测算1998—2010年中国省际碳全要素生产率,运用核密度估计法对全国总体及东部地区、中部地区、西部地区三大区域进行收敛性检验。结果显示:样本期内中国碳全要素生产率年均增长率仅为0.9%,且主要是由技术进步推动,技术效率在大多数年份都处于恶化的状态;东部地区碳全要素生产率增长最快,西部地区最慢,中部地区介于二者之间;全国碳全要素生产率及其分解存在明显的发散性,东部地区和西部地区在技术效率方面呈现“俱乐部收敛”。

关 键 词:全要素生产率    碳排放    收敛性分析
收稿时间:7/6/2013 12:00:00 AM

Growth and Convergence Analysis on the Carbon Total Factor Productivity of China's Provinces
LI Qiang and FENG Bo.Growth and Convergence Analysis on the Carbon Total Factor Productivity of China's Provinces[J].Journal of Beijing Institute of Technology(Social Sciences Edition),2014,16(3):14-21,29.
Authors:LI Qiang and FENG Bo
Institution:1.School of Management, China University of Mining & Technology, Xuzhou Jiangsu 221116, China
Abstract:Treating carbon emissions as undesirable output, this paper constructs SML index model to calculate the carbon total factor productivity and its decomposition in China's provinces from 1998 to 2010. Then, it uses Kernel density estimation method to make convergent analysis of the whole country, as well as the eastern, middle and western regions. The results show that in this period, the average annual growth rate of China carbon total factor productivity is only 0.9%, furthermore, it is mainly driven by technological improvement. Technological efficiency is in a state of deterioration at most years. The carbon total factor productivity of eastern region grows fastest, while that of western region is slowest. The carbon total factor productivity and its decomposition of the whole country reveal apparent divergence apparently. The eastern region and western region have"club convergence"in terms of technological efficiency.
Keywords:total factor productivity  carbon emission  convergence analysis
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