## 4 Conclusions and Suggestions  
This paper conducts an empirical test on the degree of coupling coordination between the digital economy and industrial green high-quality development based on the spatial data of 31 provinces in China for a time period ranging from 2008 to 2020. The major conclusions of this study are as follows:  
1. The overall coupling coordination level between the digital economy and industrial green high-quality development represents a high and steady-upward trend in China. Furthermore, the degree of coupling coordination in the four regions is significantly different, as the eastern region shows a higher degree than other regions while the central region observes the fastest growth rate in China. 2. There is a gradual decline in the overall spatial difference of the coupling coordination between the digital economy and green high-quality industrial development in China, thereby indicating a weakened overall imbalance in the country. Similarly, the intra-regional difference in the eastern region is the largest, with a gradual-rising trend. The growth rate in the western region is the highest, while that in the central region is the lowest. Parallel to this, the intra-regional difference in the northeast region is narrowing over time. These differences between east-west, east-northeast, and east-central regions are large, whereas the Gini coefficient of west-northeast, central-west, and central-northeast regions is relatively small. Subsequently, the hypervariable density serves as the major contribution to spatial difference. 3. There is a stable positive spatial correlation of coupling coordination degree between the digital economy and industrial green high-quality development. Furthermore, the coupling coordination degree of the above regions displays a convergence trend of absolute \(\beta\), with the eastern region showing the fastest convergence speed when the influencing factors of economic development, openness, technological innovation, finance, and local fiscal expenditure are the same. Contrarily, there is the convergence of conditional \(\beta\)in regions, in the case of the regional differences in the influencing factors. As a result, the resulting spatial effects are different. Based on the study conclusions, the authors propose the following suggestions:  
Firstly, this study fully realizes that the coupling coordination level of the digital economy and industrial green high-quality development is constantly improving. However, the growth rate of coupling and coordination is still slow. Therefore, there is a need for a \"top-down + bottom-up\" strategic plan. It is essential to guide green policy and ideology from the perspective of the top-down approach. In addition, more social capital is required for investment in the digital economy and industrial green upgrading, owing to the leverage effect formed by the guidance of government funds. Conversely, there is a need to cultivate digital and green literacy from the perspective of the bottom-up approach. People consciously carry out green travel and green low-carbon consumption, thereby improving the market demand for green products and services, and promoting the coupling coordination between the digital economy and industrial green high-quality development. Secondly, there is a need to be aware of the spatial unbalanced distribution of the coupling coordination. The eastern region plays a leading role and narrows the gap within the region and narrows down the gap in coupling coordination within the region. The central region increases investment in scientific research, consequently exploring the cultivation and retention channels of compound talents who possess \"digital + green + industry knowledge\" [34]. The northeast region deperes the market reform, eliminates low-end and outdated production capacity, improves the business environment, and optimizes and upgrades its industrial structure with the support of digital technology innovation. Moreover, most provinces in the western region are on the verge of imbalance.