基于DEA模型的广东碳排放绩效静态水平与动态变化研究
发布时间：2018-07-25 06:31
【摘要】：近些年来,人们对生活质量及生存环境都提出了新的要求,因此经济与环境的协调发展愈发重要。广东省在2010年被国家发改委列为五省八市低碳试点之一,广东省的低碳经济发展现状引起了更多学者的关注。本文以广东省的21个地级市为研究目标,将固定资产、能源消费、劳动力作为投入,二氧化碳作为非期望产出,GDP作为期望产出,通过环境DEA模型与Malmquist-Luenberger指数分析来研究21个市碳排放绩效的静态水平与动态变化;进一步将全要素生产率指数分解成技术效率与技术进步两个因子;利用面板回归来研究产业结构、能源强度、经济发展水平、对外开放程度与城市化水平对全要素生产率的影响。研究结果表明:在同一生产前沿面上,碳排放绩效静态水平达到有效的市是广州、深圳、珠海、汕尾、茂名与潮州;碳排放绩效静态水平较低的是清远与韶关,而广东省整体碳排放绩效静态水平较高,均在0.8以上。Malmquist-Luenberger生产率指数是用来测度全要素生产率的变化,从研究结果看广东省总体ML生产率指数呈上升趋势,其中技术进步上升而技术效率下降,技术进步是影响全要素生产率的决定性因素;各区域全要素生产率年均增幅大小为:珠三角最大,西翼与东翼居中,山区最小,技术进步指数年均增幅大小与全要素生产率增幅保持一致,技术效率指数年均增幅大小为山区与珠三角较大,东翼与西翼较小。全要素生产率的影响因素中产业结构对珠三角呈负向影响,对东翼呈正向影响;而能源强度对珠三角、西翼、山区这三个区域的影响都是负向的;经济发展程度显著影响珠三角、东翼、西翼与山区,对其是正向促进作用;对外开放程度对山区是负向影响;城市化水平对珠三角、东翼、西翼都是负向影响。
[Abstract]:In recent years, people have put forward new requirements for the quality of life and living environment, so the coordinated development of economy and environment becomes more and more important. Guangdong Province was listed as one of the low carbon pilot projects in five provinces and eight cities by the National Development and Reform Commission in 2010. In this paper, 21 prefecture-level cities in Guangdong Province are taken as research targets, fixed assets, energy consumption, labor force as input, carbon dioxide as non-expected output and GDP as expected output. The static and dynamic changes of carbon emission performance in 21 cities were studied by environmental DEA model and Malmquist-Luenberger index analysis, and the total factor productivity index was further decomposed into two factors: technical efficiency and technological progress. Panel regression is used to study the effects of industrial structure, energy intensity, level of economic development, degree of opening to the outside world and level of urbanization on total factor productivity (TFP). The results show that in the same production frontier, the cities with effective static carbon emission performance are Guangzhou, Shenzhen, Zhuhai, Shanwei, Maoming and Chaozhou, while Qingyuan and Shaoguan have lower static carbon emission performance. However, the static level of overall carbon emission performance in Guangdong Province is relatively high, both above 0.8. Malmquist-Luenberger productivity index is used to measure the change of total factor productivity. The technological progress is the decisive factor affecting the total factor productivity, and the average annual increase of the total factor productivity is the largest in the Pearl River Delta, the middle in the west and the east, and the smallest in the mountainous area. The average annual growth rate of technological progress index is consistent with that of total factor productivity. The average annual growth rate of technological efficiency index is larger in mountainous area and Pearl River Delta and smaller in east and west wing. Among the influencing factors of total factor productivity, the industrial structure has a negative influence on the Pearl River Delta and a positive influence on the east wing, while the energy intensity has a negative effect on the three regions of the Pearl River Delta, the west wing and the mountainous area. The degree of economic development has a significant influence on the Pearl River Delta, the eastern wing, the west wing and the mountainous area, which is positively promoted; the degree of opening to the outside world has a negative impact on the mountain area; the urbanization level has a negative impact on the Pearl River Delta, the eastern wing and the western wing.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X321
本文编号：2142937
[Abstract]:In recent years, people have put forward new requirements for the quality of life and living environment, so the coordinated development of economy and environment becomes more and more important. Guangdong Province was listed as one of the low carbon pilot projects in five provinces and eight cities by the National Development and Reform Commission in 2010. In this paper, 21 prefecture-level cities in Guangdong Province are taken as research targets, fixed assets, energy consumption, labor force as input, carbon dioxide as non-expected output and GDP as expected output. The static and dynamic changes of carbon emission performance in 21 cities were studied by environmental DEA model and Malmquist-Luenberger index analysis, and the total factor productivity index was further decomposed into two factors: technical efficiency and technological progress. Panel regression is used to study the effects of industrial structure, energy intensity, level of economic development, degree of opening to the outside world and level of urbanization on total factor productivity (TFP). The results show that in the same production frontier, the cities with effective static carbon emission performance are Guangzhou, Shenzhen, Zhuhai, Shanwei, Maoming and Chaozhou, while Qingyuan and Shaoguan have lower static carbon emission performance. However, the static level of overall carbon emission performance in Guangdong Province is relatively high, both above 0.8. Malmquist-Luenberger productivity index is used to measure the change of total factor productivity. The technological progress is the decisive factor affecting the total factor productivity, and the average annual increase of the total factor productivity is the largest in the Pearl River Delta, the middle in the west and the east, and the smallest in the mountainous area. The average annual growth rate of technological progress index is consistent with that of total factor productivity. The average annual growth rate of technological efficiency index is larger in mountainous area and Pearl River Delta and smaller in east and west wing. Among the influencing factors of total factor productivity, the industrial structure has a negative influence on the Pearl River Delta and a positive influence on the east wing, while the energy intensity has a negative effect on the three regions of the Pearl River Delta, the west wing and the mountainous area. The degree of economic development has a significant influence on the Pearl River Delta, the eastern wing, the west wing and the mountainous area, which is positively promoted; the degree of opening to the outside world has a negative impact on the mountain area; the urbanization level has a negative impact on the Pearl River Delta, the eastern wing and the western wing.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X321
【引证文献】
相关会议论文 前1条
1 马甜;;中国电力产业全要素生产率影响因素分析与金融危机背景下的结构调整对策[A];2009年全国博士生学术会议论文集[C];2009年
，本文编号：2142937
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