随机前沿模型下广东省碳排放效率研究

发布时间：2018-01-05 14:04

本文关键词：随机前沿模型下广东省碳排放效率研究　出处：《广东外语外贸大学》2014年硕士论文　论文类型：学位论文

【摘要】：由二氧化碳排放所带来的温室效应等气候变化问题越来越引起世界各国的重视，而我国作为二氧化碳排放最多的国家，面临着全球要求承担减排责任的巨大压力，与此同时，高能耗高排放的发展模式在经济社会的可持续发展的要求下亟需转变，这促使二氧化碳减排刻不容缓。但是，二氧化碳排放的效率高低，还存在多大的减排潜力，以及减排的成本是否可控，这些都是目前政府需要关注的问题。广东省作为全国工业和经济的排头兵，减排压力自然首当其冲，因此，提高碳排放效率，发展清洁能源是必经之路。本课题从以上这些问题出发，使用广东省21个地市的2005-2012年八年的面板数据对二氧化碳排放效率进行了的实证研究。本文研究的目的是通过构建碳排放效率的SFA模型，客观的分析广东省不同地区二氧化碳排放效率的现状、趋势及其影响因素。文章给出了碳排放效率的明确定义，采用宏观层面数据，选择Battese and Coeli(1995)随即前沿边界方法设定模型。运用2005-2012年广东省21个地区的面板数据，，测度广东全省、4大地区、21个地市碳排放效率，分析其变动特征，并根据实际情况设定碳排放效率的影响变量。本文的影响变量主要从产业结构、产权结构、能源强度、技术投入、经济发展状况、开放度、能源结构、城市化程度及政府对市场的干预等方面分析这些变量对二氧化碳排放效率的影响。
[Abstract]:The problem of climate change such as Greenhouse Effect caused by carbon dioxide emissions has attracted more and more attention from all over the world, and China is the country with the most carbon dioxide emissions. Facing the global pressure to assume responsibility for emission reduction, at the same time, the development model of high energy consumption and high emissions needs to be changed under the requirement of sustainable economic and social development. This makes it urgent to reduce carbon dioxide emissions. However, the efficiency of carbon dioxide emissions, the extent to which there is emission reduction potential, and whether the cost of reducing emissions can be controlled. These are the issues that the government should pay attention to. Guangdong Province, as the national industrial and economic vanguard, naturally bear the brunt of the pressure to reduce emissions, therefore, improve the efficiency of carbon emissions. The development of clean energy is the only way. An empirical study of carbon dioxide emission efficiency was conducted using panel data from 2005 to 2012 in 21 cities in Guangdong Province. The purpose of this study is to establish SFA model of carbon emission efficiency, and analyze the current situation of carbon dioxide emission efficiency in different regions of Guangdong Province objectively. The paper gives a clear definition of carbon emission efficiency, using macro-level data. Select Battese and Coelier 1995) to set the model with the method of random frontier boundary. The panel data of 21 regions of Guangdong Province from 2005 to 2012 are used. This paper measures the carbon emission efficiency in 21 cities of Guangdong province, analyzes its changing characteristics, and sets the influence variables of carbon emission efficiency according to the actual situation. The influence variables of this paper are mainly from the industrial structure. Property structure, energy intensity, technical input, economic development, openness, energy structure, urbanization and government intervention in the market are analyzed to analyze the impact of these variables on carbon dioxide emission efficiency.
【学位授予单位】：广东外语外贸大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F124.5;F224

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