The entropy method is used to measure the high-quality economic development levels of 30 provinces (autonomous regions, municipalities) in China from 2011 to 2020, and the impacts of factor price distortion, technological innovation, and their interaction terms on high-quality economic development are analyzed based on Tobit regression. The results show that high-quality economic development of 30 provinces (autonomous regions, municipalities) in China is on the rise; factor price distortion has an inhibitory effect on high-quality economic development, while technological innovation has a promoting effect on high-quality economic development, and both of them have a lag effect; technological innovation level can help alleviate the negative impact of factor price distortion on high-quality economic development; and sub-regional research shows that the inhibitory effect of factor price distortion on high-quality economic development in the east is significantly higher than that in the central and western regions, but the positive effect of technological innovation and the interaction terms between the two on high-quality economic development is significantly lower than that in the central and western regions. Accordingly, it is proposed to optimize top-level design for the two-wheel drive for high-quality economic development, strengthen the primary role of enterprises in innovation to promote high-quality economic development, and optimize the market-oriented allocation of factors to improve the efficiency of resource allocation.
Under the strategic background of “double carbon” and “double control”,green finance policy has also become an important measure to promote the technological innovation of enterprises and the green transformation and development of social economy. Based on the perspective of institutional innovation, taking the regional policy of “Green Finance Reform and Innovation Pilot Zone” as the starting point, this paper uses PSM-DID methed to study the impact of green finance policy implementation on enterprise technological innovation. The results show that the pilot zone policy can significantly increase the relative scale of R＆D investment and the number of patent applications. It has a strong “gain” effect of financing, and has a stronger incentive effect on innovation investment of enterprises with larger assets, state-owned enterprises and low-pollution enterprises. As far as the impact mechanism is concerned, the green finance pilot zone policy mainly promotes technological innovation by easing corporate financing constraints and improving the external financing environment. Therefore, we should perfect top-level design, strengthen information disclosure and innovate green financial instruments to promote technological innovation.
Based on China’s provincial panel data from 2015 to 2020, this paper adopts the panel threshold model and the panel threshold quantile model to empirically test the impact of financial resource allocation on the revitalization of rural industries. It is found that there is a threshold effect between the allocation of financial resources and the revitalization of rural industries. Among them, the allocation of bank credit financial resources has a double threshold effect on the optimization of rural industrial structure and a single threshold effect on the integration of rural industry. The allocation of securities financing financial resources has a single threshold effect on the integration of rural industries and the optimization of rural industrial structure. Further through the panel threshold quantile model test, it can be seen that bank credit financial resource allocation and securities financing financial resource allocation have significant heterogeneity in the role of rural industrial integration and rural industrial structure optimization under different quantiles and thresholds. Based on this, it is necessary to strengthen the inclination of financial resources in rural industries, expand the supply channels of financial resources in rural industries, and promote the process of agricultural credit asset securitization, so as to effectively improve the efficiency of financial resource allocation, help the revitalization and development of rural industries.
Based on the effect of urban “production-living-ecological” spatial function governance, this paper uses entropy weight method and coupling coordination model to measure the governance performance of 284 cities at prefecture-level and above in different periods, and analyzes its spatial-temporal evolution characteristics. The research finds that the performance of the city and its “production-living-ecological” spatial governance shows a trend of continuous improvement, and the regional differences narrows. The positive spatial correlation of urban governance performance is significant, and the high-high agglomeration areas are mainly distributed in the southeast. There is a positive relationship between urban production and living space governance performance and urban scale, while ecological space governance performance is vice versa, which to some extent indicates the “big city disease” brought by urban scale expansion and population agglomeration pressure. In view of this, urban administrators should take overall sideration, complement the weak points, promote the coordinated development of production, living and ecological space, adopt diversified development mode according to local conditions and time conditions, pay attention to the adaptation of city scale and urban space.
Since the 18th National Congress of the Communist Party of China, China has attached great importance to employment development, thoroughly implemented the employment priority strategy, insisted on taking the people as the center, built a solid foundation for people’s livelihood, improved employment security capabilities in an all-round way by promoting muti-policy linkage and cohesion. It not only uses bottom-line thinking to understand people’s livelihood and grasps the “bull nose” of high-quality employment development, but also further focuses on “digital plus employment”, cultivates continuous and powerful new momentum of employment, actively guides and encourages entrepreneurship to drive employment, accelerates the release of the multiplier effect of employment, and build a more complete employment security system, effectively meeting the growing diversified employment needs of the people. Facing the future, China should strive to create a high-quality employment environment, innovate the talent training model, strengthen digital empowerment, comprehensively optimize the entrepreneurship policy support system, and efficiently improve the public employment service capacity, so as to promote the early realization of high-quality and full employment.
