数据驱动的区域经济高质量发展内部耦合协调水平评价研究--以安徽省16地市为例

On Data-driven Evaluation of Internal Coupling Coordination Level of High-quality Regional Economic Development: Taking 16 Cities of Anhui Province as an Example

为促进区域经济的高质量发展,提出基于数据驱动的区域经济高质量发展的内部耦合协调水平的测度、评价和识别方法。在深入分析经济高质量发展主要特征的基础上,首先构建区域经济高质量发展内部耦合协调水平的评价指标体系,应用熵权法对指标客观赋权,对区域高质量发展水平进行测度;然后,应用耦合协调度模型评价区域发展子系统之间的耦合协调水平;再通过障碍度模型识别影响区域经济高质量发展内部耦合协调水平的关键障碍因子,以提出促进区域高质量发展的政策建议。最后,选取2020年安徽省区域经济发展为研究实例,展示了方法实现过程,最终提出了提升安徽省高质量发展内部耦合协调水平的政策建议,为区域经济高质量发展提供了理论和方法支持。

In order to promote the high-quality development of regional economy, this paper proposes a method to measure, evaluate, and identify the level of internal coupling coordination based on data-driven high-quality development of regional economy.Based on an in-depth analysis of the main characteristics of high-quality economic deve-lopment, this paper firstly constructs an evaluation index system for the level of internal coupling and coordination of high-quality regional economic development.Then the entropy weight method is applied to objectively weight the index and measure the level of high quality regional development.The coupling coordination degree model is applied to evaluate the coupling coordination level among regional development subsystems, and the obstacle degree model is used to identify the key obstacle factors that affect the coupling coordination level within the regional high quality economic development in order to propose policy recommendations for promoting regional high quality development.Finally, this paper selects the regional economic development of Anhui Province in 2020 as a research example, demonstrates the process of method realization, and proposes policy recommendations to improve the level of internal coupling and coordination of high-quality development in Anhui Province, which provides theoretical and methodological support for high-quality regional economic development.