金融集聚、创新能力与绿色GDP：理论与来自中国省级层面的证据

发布时间：2018-05-08 04:29

本文选题：金融集聚 + 创新能力　；参考：《上海师范大学》2017年硕士论文

【摘要】：在经历三十多年的高速经济增长之后,目前中国的经济增长速度趋于放缓,为了获取可持续增长的最优路径,中国经济面对两大挑战:如何增强创新能力?如何将经济发展对环境的破坏程度降低到最低水平?本文首先对传统的内生经济增长理论进行了创新,将金融集聚、创新能力和绿色GDP纳入到传统模型中,从而为本文提供理论模型。在指标构建方面,本文在分析各相关指标的基础上,使用主成分分析法法,构建了金融集聚指标、创新能力指标。在实证方面,本文主要使用了面板模型和空间面板模型,以2007-2013年中国31个省份为研究对象,考察了各省份的金融集聚、创新能力和绿色GDP之间的关系。通过不同的计量方法可以使我们从多角度看待这个问题,也可以通过不同的角度得到更加稳健的实证结果。实证分析结果表明:第一,创新能力与绿色GDP存在显著的相关性,但不同的模型得到的结论却不相同。面板模型显示创新能力(RD)可以在5%的显著水平下促进绿色GDP的增长,但是在考虑了空间因素后反而不利于促进绿色GDP的增长,这种结果的出现有可能是各区域间创新产品的沟通无效造成的。第二,金融集聚与绿色GDP存在较为显著的负相关关系。这与本文的研究假设2相反,不过这更好地说明了中国的经济发展中遇到的一个严峻的问题是快速的经济发展是以牺牲环境为代价的。第三,三种模型均显示,创新与金融集聚的交叉项(FLQ*RD)均与绿色GDP存在非常显著的正相关关系,这个结果证明金融集聚可以通过提高当地的创新能力水平,这种创新水平可以改善当地的经济增长方式,提高科技能力,降低污染,使经济增长方式从粗放型向密集型转变,从而提高了绿色GDP水平。本文的创新点在于将金融集聚对经济增长的作用精确到金融集聚对绿色GDP的作用,在这一过程中将创新能力作为中间变量,即金融集聚会影响绿色GDP,从而影响到当地的绿色GDP发展水平。在实证方便,本文采用面板数据模型和空间模型相结合的方式,从不同的角度对本文的研究内容进行实证分析,从而得到更加全面的分析结果。
[Abstract]:After more than 30 years of rapid economic growth, the current economic growth rate of China tends to slow down. In order to obtain the optimal path of sustainable growth, the Chinese economy faces two major challenges: how to enhance the ability of innovation? How to reduce the degree of environmental damage caused by economic development to the lowest level? In this paper, the traditional endogenous economic growth theory is first innovated, and financial agglomeration, innovation ability and green GDP are brought into the traditional model, thus providing the theoretical model for this paper. In the aspect of index construction, based on the analysis of relevant indexes, this paper constructs the index of financial agglomeration and the index of innovation ability by using principal component analysis method. In the empirical aspect, this paper mainly uses panel model and spatial panel model, taking 31 provinces of China from 2007 to 2013 as the research object, examines the relationship between financial agglomeration, innovation ability and green GDP of each province. Through different measurement methods, we can view this problem from different angles, and we can get more robust empirical results from different angles. The empirical results show that: first, there is a significant correlation between innovation ability and green GDP, but different conclusions of different models are different. The panel model shows that the innovation ability can promote the growth of green GDP at a significant level of 5%, but after taking spatial factors into account, it is not conducive to promoting the growth of green GDP. This result is likely to be the result of ineffective communication between regions of innovative products. Secondly, financial agglomeration has a significant negative correlation with green GDP. This is contrary to hypothesis 2 in this paper, but it better shows that a severe problem in China's economic development is that rapid economic development is at the expense of the environment. Thirdly, the three models show that there is a very significant positive correlation between the cross term of innovation and financial agglomeration and green GDP, which proves that financial agglomeration can improve the level of local innovation ability. This level of innovation can improve the local economic growth mode, improve the ability of science and technology, reduce pollution, and change the mode of economic growth from extensive to intensive, thus raising the level of green GDP. The innovation of this paper lies in that the role of financial agglomeration on economic growth is accurate to the role of financial agglomeration on green GDP, and the innovation ability is regarded as the intermediate variable in this process. That is, financial agglomeration will affect green GDP, thus affecting the local level of green GDP development. In order to obtain more comprehensive analysis results, this paper adopts the combination of panel data model and spatial model to analyze the research content from different angles.
【学位授予单位】：上海师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F832.7;F127

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