金融支持对我国工业行业碳减排的驱动效应研究

发布时间：2018-04-15 05:29

本文选题：工业行业 + 碳减排　；参考：《中国矿业大学》2016年硕士论文

【摘要】：工业行业碳减排是经济发展的热点问题,根据金融深化、金融功能等理论,金融支持可以聚集大量的社会财富,在国民经济各行业中配置资金,为企业的成长和技术进步提供了坚实的物质基础,提高生产的技术效率。目前中国正处于经济转型升级的关键时期,从高排放、高污染的增长模式转向可持续的低碳经济是保持经济稳健增长的必由之路。本文阐述了金融深化、金融约束、金融功能等理论,得出金融支持对实体经济的理论基础,运用博弈论的方法对金融支持对我国工业行业碳减排的驱动效应提出了理论假设。在理论基础和提出的理论假设上,本文探索了金融支持对国工业行业碳减排的影响机制。运用LMDI因素分解法对工业行业碳减排的影响因素进行分析,借鉴Battese和Coelfi提出的随机前沿生产模型,以企业的技术进步变化指数作为我国工业行业碳减排的技术效应,利用VAR模型重点研究金融支持对企业技术因素影响,运用面板门槛模型对我国2000-2013年20个工业行业数据,以及2000-2013年江苏省8个地级市的数据进行分析,重点探究金融支持对工业行业碳减排的驱动效应。本文研究得出:第一、金融规模对我国工业行业碳减排具有明显的促进作用,这决定了工业行业的碳减排离不开有效的金融支持。第二、金融效率对我国工业行业碳排放的影响出现先增加后减少,呈现倒“U”型,因此,当金融效率高于一定门槛时,就会对我国工业行业碳减排起到正面作用。第三、金融支持对工业行业碳减排技术效应的实证结果显示金融规模、金融结构和金融效率对碳减排技术效应都产生正向影响,得益于规模和效率的累积效应,碳减排技术效应受金融规模和金融效率的影响较大。第四、协调金融规模、结构和效率的同步发展,创造适合工业行业技术创新的金融环境,有利于我国工业行业的碳减排。
[Abstract]:Carbon emission reduction in industrial industries is a hot issue in economic development. According to the theories of financial deepening and financial function, financial support can accumulate a large amount of social wealth and allocate funds in various industries of the national economy.For the growth of enterprises and technological progress to provide a solid material basis, improve the technical efficiency of production.China is now in a critical period of economic transformation and upgrading. The only way to maintain sound economic growth is to move from a growth model with high emissions and high pollution to a sustainable low-carbon economy.In this paper, the theories of financial deepening, financial restraint and financial function are expounded, the theoretical basis of financial support to real economy is obtained, and the theoretical hypothesis of the driving effect of financial support on carbon abatement in industrial industry of China is put forward by using the method of game theory.Based on the theoretical basis and theoretical assumptions, this paper explores the influence mechanism of financial support on carbon emission reduction in China's industrial industries.Using LMDI factor decomposition method to analyze the influencing factors of carbon emission reduction in industrial industry, using the stochastic frontier production model proposed by Battese and Coelfi, taking the technological progress change index of enterprises as the technical effect of carbon emission reduction in industrial industry of China.VAR model is used to study the influence of financial support on enterprise technology, and the panel threshold model is used to analyze 20 industrial data from 2000 to 2013 and 8 prefecture-level cities in Jiangsu Province from 2000 to 2013.Emphasis is placed on the driving effect of financial support on carbon emission reduction in industrial industries.Firstly, the scale of finance plays a significant role in promoting carbon emission reduction in China's industrial industries, which determines that carbon emission reduction in industrial industries can not be separated from effective financial support.Second, the effect of financial efficiency on carbon emissions of industrial industries in China first increases and then decreases, and presents the inverted "U" type. Therefore, when the financial efficiency is higher than a certain threshold, it will play a positive role in reducing carbon emissions in China's industrial industries.Thirdly, the empirical results show that financial scale, financial structure and financial efficiency have positive effects on the technological effects of carbon emission reduction in industrial industries, and benefit from the cumulative effects of scale and efficiency.The technical effect of carbon emission reduction is greatly affected by financial scale and financial efficiency.Fourth, coordinate the development of financial scale, structure and efficiency, create a suitable financial environment for industrial technological innovation, which is conducive to carbon emission reduction in China's industrial industry.
【学位授予单位】：中国矿业大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F832.4;F424.1

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