To promote economic development, an imbalance in urban–rural development has been caused by a policy of favoring urban areas in every county. Recently, breaking the “urban–rural dual structure” and emphasizing urban–rural “integration” have become the ideal models for most countries to realize sustainable urbanization development. In China, the main goals of new-type urbanization construction (NTUC) are to optimize the urban–rural structure and improve the living standards of rural residents, help narrow the urban–rural income gap (URIG), and realize urban–rural sustainable development. This paper mainly studied the effect of NTUC on the URIG, analyzing the dynamic impact and regional heterogeneity. The moderating effect of NTUC on the URIG was also tested. A difference-in-difference model and mediating effect model were used to investigate the impact of the NTUC on the URIG. We found that, firstly, NTUC can significantly reduce the URIG. After a series of robustness tests was implemented, the results still held. Secondly, the effect of NTUC on the URIG was −0.1684 in the short term and −0.1710 in the long term. NTUC can significantly reduce the URIG in the central and western regions, but the negative impact is insignificant in the eastern region. Thirdly, industrial structure upgrades and financial and digital development are all important ways that NTUC narrows the URIG. Finally, based on our research conclusions, we put forward corresponding countermeasures and suggestions related to the policy implementation of NTUC, regional differences, industrial structure upgrading, and financial and digital development.
The purpose of the dual-credit policy is to promote the healthy and sustainable development of China’s new energy vehicle industry. This study took the dual-credit policy as the background, took the new energy vehicle listed companies in the Shanghai and Shenzhen stock markets in China as the research object, and used the difference-in-difference model to verify the impact of the dual-credit policy on the performance of new energy vehicle companies and identify the mechanism behind its role. The study found the following: (1) the dual-credit policy significantly improves the performance of listed new energy vehicle companies, but the marginal utility of the policy will diminish; (2) the impact of the dual-credit policy on the performance of domestic listed new energy vehicle companies is better than that of joint venture listed new energy vehicle companies; (3) the dual-credit policy mainly enhances the competitiveness of listed new energy vehicle companies through the market expectation of enterprises and market competition mechanism; (4) there is heterogeneity in the mechanism of the dual-credit policy for domestic and joint venture new energy vehicles. The research in this paper is helpful for evaluating the economic effect of the dual-credit policy, and it has implications for the healthy and orderly development of the new energy vehicle industry.
To improve the human living environment and maintain the balance of the ecosystem, the Chinese government implemented a new environmental protection law (NPL) in 2015. Based on data for Chinese A-share listed companies and prefecture-level cities from 2005 to 2020, a difference-in-difference model is used to empirically explore the impact of the mandatory environmental regulation on labor demand (LD) and green innovation transformation (GIT) for heavy pollution enterprise (HPE). The results indicate that NPL leads HPE to reduce LD and achieve GIT, compared to non-HPE. This finding still holds by a series of robustness tests. Lower financial constraints and higher fintech can alleviate the negative impact of the NPL on the LD of HPE and enhance the positive impact of the NPL on the GIT of HPE. From regional heterogeneity, NPL causes HPE to increase their labor in the eastern region but reduce labor in the middle and western regions. NPL positively affects the GIT and shows a “U” shape from the east-middle-west regions. From enterprise heterogeneity, NPL mainly has a significant dampening effect on the LD for old and high staff cost enterprises and has a greater positive impact on the GIT for these both types of enterprises. Meanwhile, there is a gradually increasing lag in the impact of NPL on LD and GIT. Our findings provide new perspectives for the government to implement the policy of NPL and for enterprises to transform development.
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