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我国银行业支持低碳产业发展的效率研究

发布时间:2018-12-11 04:59
【摘要】:人类社会步入21世纪以来,“低碳经济”逐渐成为世界各国经济发展的主流模式。发展低碳经济,应重点协调好金融业,尤其是银行业与低碳产业之间的关系。银行业作为现代金融业的核心,为低碳产业提供了资金、产品以及服务等多方面的支持,研究其支持效率,不仅有助于带动我国低碳产业的持续发展;于银行业本身而言,也有利于调整和完善在低碳背景下的经营策略和盈利模式。 本文首先系统论述了低碳概念与金融支持的相关理论,理清了低碳经济与低碳产业、金融支持理论、低碳金融的理论沿革。其次,从定性分析的角度,系统阐述了现阶段我国银行业支持低碳产业发展的实践经验:商业银行绿色信贷政策、中介支持业务、碳金融衍生产品;政策性银行支持模式;银行业创新支持模式等。随后,从定量分析的角度,引入了数据包络分析方法(DEA),基于数据完备的设定下,随机选取了2007-2011年间,我国35家低碳上市企业,通过选定输入参数:长期借款和负债利息率;选定输出参数:净利润。进而建立了BCC-DEA模型和DEA-Malmquist指数模型,在进行数据的初始化处理及无量纲化处理后,分别利用软件MaxDEA5.0和Deap2.1代入数据进行模型求解,从横断面以及跨期纵向两个维度分析得出当前我国银行业支持低碳产业发展效率不高,,但整体处于规模报酬递增阶段的结论。 针对现阶段我国银行业支持低碳产业发展的效率情况,本文基于政府政策引导层面、银行业支持改进层面和低碳企业运营提升层面分析了现状并提出了若干合理化建议,旨在通过联动政府、银行业、低碳企业三大主体,探索出一条三位一体的符合我国国情的银行业支持低碳产业发展之路。
[Abstract]:Since the human society stepped into the 21 st century, low-carbon economy has gradually become the mainstream mode of economic development in the world. To develop low-carbon economy, we should focus on coordinating the relationship between banking and low-carbon industry. As the core of the modern financial industry, the banking industry provides many support for low-carbon industry, such as funds, products and services. To study its supporting efficiency is not only helpful to promote the sustainable development of low-carbon industry in China; Banking itself is also conducive to the adjustment and improvement of low-carbon operating strategies and profit model. In this paper, the concept of low carbon and the related theories of financial support are systematically discussed, and the theoretical evolution of low carbon economy and low carbon industry, financial support theory and low carbon finance is clarified. Secondly, from the perspective of qualitative analysis, this paper systematically expounds the practical experience of China's banking industry in supporting the development of low-carbon industry at the present stage: green credit policy of commercial banks, intermediary support business, carbon financial derivatives, support mode of policy banks; Banking innovation support model and so on. Then, from the angle of quantitative analysis, this paper introduces the method of data envelopment analysis (DEA),) based on the assumption of complete data, and randomly selects 35 low-carbon listed enterprises in China from 2007 to 2011. Through the selection of input parameters: long-term borrowing and debt interest rate; Selected output parameters: net profit. Then the BCC-DEA model and the DEA-Malmquist exponential model are established. After initializing and dimensionless data processing, the software MaxDEA5.0 and Deap2.1 are used to solve the model respectively. Based on the analysis of cross-sectional and intertemporal vertical dimensions, it is concluded that the development efficiency of low-carbon industry in China's banking industry is not high, but the whole industry is in the stage of increasing returns on scale. In view of the efficiency of China's banking industry in supporting the development of low-carbon industry at the present stage, this paper analyzes the present situation and puts forward some reasonable suggestions on the level of government policy guidance, the level of banking support improvement and the level of low carbon enterprise operation promotion. The purpose of this paper is to explore a trinity banking industry to support the development of low-carbon industry through the linkage of the government, banking, low-carbon enterprises three main body, to explore a trinity in line with the national conditions of China's banking industry to support the development of low-carbon industry.
【学位授予单位】:华南理工大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:F832.3;F124.5

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