湖南省数字经济与区域协调发展耦合协同研究

Research on Coupling and Coordination of Digital Economy and Regional Coordinated Development in Hunan Province

摘要: 基于2012年至2021年湖南省14个市州的部分数字经济与区域协调发展面板数据，利用耦合协调度模型分析湖南省及各个市州两系统水平，测度其耦合协调度特征以及变化趋势；结合Dagum基尼系数模型分析湖南省各地区两系统耦合协调度组内、区域间差异和差异来源；最后结合变异系数来探究区域间差异的特性以及发展趋势。研究发现：湖南省各市州数字经济发展水平处于相对薄弱的阶段且低于区域协调发展水平；耦合协调度差异在逐渐缩小，但总体空间差异仍然存在，区域间差异是各地区总体空间差异的主要来源；区域间耦合协调指标值均呈现下降趋势，各区域之间两系统的耦合协调度存在区域性收敛。对此，可以依据数字经济与区域耦合协调发展的实际差异和演变趋势规划相关政策，同时耦合协调度好的地区应发挥好带头作用，加快数字经济建设速度、缩小区域差异。

Abstract: Based on the panel data of digital economy and regional coordinated development of 14 cities and states in Hunan Province from 2012 to 2021, the coupled coordination degree model was used to analyze the system level of Hunan Province and each city and state, and measure the characteristics and changing trends of the coupled coordination degree. The Dagum Gini coefficient model was used to analyze the intra-group and inter-regional differences and sources of the coupling coordination degree of the two systems in Hunan Province. Finally, combined with the coefficient of variation, the characteristics and development trend of inter-regional differences were explored. The results show that the development level of digital economy in Hunan Province is relatively weak and lower than the level of regional coordinated development; The difference of coupling coordination degree is decreasing gradually, but the overall spatial difference still exists, and the inter-regional difference is the main source of the overall spatial difference. The index values of interregional coupling coordination showed a downward trend, and the coupling coordination degree of the two systems in each region had regional convergence. In this regard, relevant policies can be planned according to the actual differences and evolution trends of the coordinated development of digital economy and regional coupling, and regions with a good degree of coupling and coordination should play a leading role in speeding up the construction of digital economy and narrowing regional differences.