京津冀、珠三角、长三角都市圈工业环境效率研究

发布时间：2018-02-02 04:38

本文关键词： 工业环境效率 SBM模型影响因素　出处：《东华理工大学》2015年硕士论文　论文类型：学位论文

【摘要】：改革开放以来,京津冀、珠三角、长三角都市圈作为中国经济发展的三大引擎。但是,随着经济的高速发展,资源相对匮乏,能源利用率较低,过度消耗,环境质量日益下降仍然是现阶段制约经济可持续发展的关键瓶颈。尽管改革开放以来,我国出台了针对三大地区的环境政策和环保目标,目前三大地区依然是中国环境污染的重灾区。环境问题不仅影响到工业行业的经济技术效率,对全要素生产率也有一定的影响。本文从静态方面通过传统的SBM模型测算不考虑环境因素的京津冀、珠三角、长三角三个地区35个城市的工业经济效率;通过运用基于非期望产出的SBM模型计算考虑环境因素的地区工业环境效率。从动态方面通过运用Malmquist指数法和Malmquist-Luenberger指数分别测算出不考虑环境因素的全要素生产率指数和考虑环境因素的环境全要素生产率指数,并进行分析对比。本文最后一部分运用计量经济模型分析影响环境效率的因素。结果表明,区域间工业发展与资源环境协调性不平衡,京津冀地区的工业发展环境效率水平均相对较低。同时,忽略环境因素会高估技术效率以及全要素生产率,且各地区工业环境全要素生产率的增长主要是由技术进步带动的。同时对区域工业环境效率的影响因素进行回归分析发现,第二产业占比GDP短期内会刺激环境效率的改善;资本劳动比与环境效率显著负相关;资源禀赋水平会对环境效率产生正效应;科技投入会提升生产技术水平,从而会改善环境效率;外商直接投资对环境效率的改善存在一定的负效应。基于相关理论研究和实证结果,本文给出了提高地区工业环境效率的政策建议。
[Abstract]:Since the reform and opening up, the Beijing-Tianjin-Hebei, Pearl River Delta, and Yangtze River Delta metropolitan areas have been the three major engines of China's economic development. However, with the rapid development of the economy, resources are relatively scarce, energy efficiency is low, and excessive consumption. The declining environmental quality is still the key bottleneck restricting the sustainable development of the economy at this stage. Although since the reform and opening up, China has issued environmental policies and environmental protection goals for the three major regions. At present, the three major regions are still the hardest hit areas of environmental pollution in China. Environmental problems not only affect the economic and technological efficiency of the industrial industry, Through the traditional SBM model, this paper calculates the industrial economic efficiency of 35 cities in Beijing, Tianjin and Hebei, Pearl River Delta and Yangtze River Delta, which do not take environmental factors into account. By using the SBM model based on non-expected output to calculate the regional industrial environmental efficiency considering environmental factors, the index of total factor productivity (TFP), which does not take environmental factors into account, is calculated dynamically by using Malmquist index method and Malmquist-Luenberger index method, respectively. Total environmental factor productivity index that takes into account environmental factors, In the last part of this paper, the factors affecting environmental efficiency are analyzed by econometric model. The results show that the coordination between industrial development and resources and environment is not balanced. The level of environmental efficiency of industrial development in Beijing-Tianjin-Hebei region is relatively low. At the same time, ignoring environmental factors will overestimate the technical efficiency and total factor productivity. Moreover, the growth of total factor productivity of industrial environment in different regions is mainly driven by technological progress. At the same time, the regression analysis of the influencing factors of regional industrial environmental efficiency shows that the ratio of secondary industry to GDP will stimulate the improvement of environmental efficiency in a short period of time. The ratio of capital to labor is negatively related to environmental efficiency; the level of resource endowment will have a positive effect on environmental efficiency; the input of science and technology will improve the level of production technology and thus improve environmental efficiency. Foreign direct investment (FDI) has some negative effects on the improvement of environmental efficiency. Based on the relevant theoretical research and empirical results, this paper gives some policy recommendations to improve the regional industrial environmental efficiency.
【学位授予单位】：东华理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F424.1

【共引文献】