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绿色金融发展与经济高质量发展耦合协调研究
Research on the Coupling and Coordination of Green Finance Development and High-Quality Economic Development

DOI: 10.12677/ecl.2024.133530, PP. 4327-4335

Keywords: 绿色金融,经济高质量发展,耦合协调度模型
Green Finance
, High-Quality Economic Development, Coupled Coordination Degree Model

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Abstract:

随着我国经济结构转型升级,“绿水青山就是金山银山”已经成为政府工作的重要思想和企业工作的原则之一,实现经济的高质量发展成为国家发展的重要目标。绿色金融作为金融供给侧结构性改革中重要部分,与经济高质量发展联系紧密。本文将从我国目前绿色金融发展和经济高质量发展情况着手,从理论上提出两者之间存在耦合关系的原因。以我国30个省级行政区为研究对象,构建我国绿色金融和高质量发展综合评价指标体系并运用熵值法确定各指标权重。进一步选取2021年实际数据,根据评价指标体系对各省绿色金融和经济高质量发展情况计算得分,并根据得分结果分析原因。最后构建耦合协调度模型,实证量化分析各省绿色金融与高质量发展的耦合关系,并将各省按照经济区域划分,结合实际剖析差异化的结果产生原因并给出科学的对策建议。
With the transformation and upgrading of China’s economic structure, “water and mountains are golden mountains and silver mountains” has become one of the important ideas of government work and one of the principles of enterprise work, and achieving high-quality economic development has become an important goal of national development. As an important part of the structural reform of the financial supply side, green finance is closely related to the high-quality development of the economy. This paper discusses the current development of green finance and high-quality economic development in China, and proposes the reasons why there may be a coupling relationship between the two in theory. Taking 30 provincial-level administrative regions in China as the research object, construct a comprehensive evaluation index system for green finance and high-quality development in China and use the entropy method to determine the weights of each indicator. The actual data of 2021 are selected to calculate the score according to the evaluation index system for the high-quality development of green finance and economy in each province, and the reasons are analyzed according to the scoring results. Construct a coupling coordination degree model, empirically quantify and analyze the coupling relationship between green finance and high-quality development in each province, and divide each province according to economic region, and further analyze the reasons for the differentiated results. Finally, this paper will give scientific countermeasures and suggestions.

References

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