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Copyright of China Population Resources & Environment is the property of Shandong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Studying the effects of expected economic growth targets and environmental constraint targets set by Chinese local governments at the beginning of the year on high-quality development can provide empirical evidence for optimizing expected target management, improving macro-control, and fulfilling governance efficiency in the new development stage to some extent. Therefore, based on the theory of economic growth accounting and the stochastic frontier model, this paper calculated the level of high-quality development at the urban level, extracted the economic growth targets and environmental constraint targets from the Report on the Work of the Government with text analysis, constructed instrumental variables based on the spatial weight matrix, and then discussed the effects of the expected development targets formulated by local governments on high-quality development, conditional heterogeneity, and mechanisms. The results showed that: ① Excessive economic growth targets were not conducive to high-quality development, while environmental constraints targets had a significant role in promoting it and could slow down the erosion effect of excessive economic growth targets on high-quality development. This conclusion still held after solving a series of robustness tests, such as the endogenous bias. ② Heterogeneity analysis found that, with the implementation of the ecological civilization concept, China' s economy could achieve a win-win situation of quantity increase and quality improvement. To better promote high-quality development, the target positioning of cities with good economic foundations should weaken economic increment and strengthen environmental constraints, and the growth targets and environmental constraints set by local governments should be endogenous to their own regional resource endowments and leave appropriate elastic spaces. ③ The mechanism test showed that improving the economic growth targets reduced the level of innovation and raised the amount of new investment in the region, which was not conducive to high-quality development. Environmental constraints could promote technological innovation and limit the blind expansion of new investment, thus promoting high-quality development. Based on the above research conclusions, this paper summarizes policy implications from the aspects of political performance evaluation, formulation of expected development targets, technological innovation, and green development to promote the synergy between economic growth and green development in China and the synchronization of expected target management and high-quality development. [ABSTRACT FROM AUTHOR]

Copyright of China Population Resources & Environment is the property of Shandong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

It is of theoretical and practical significance to study the impact of mixed-ownership reform, the core measure of stateowned enterprise (SOE) reform, on the green innovation of SOEs. Using the data of SOEs listed in the China A-share stock market from 2010 to 2019, this study empirically tested the impact, mechanisms, and heterogeneous impact of mixed-ownership reform on the green innovation of SOEs through a Propensity Score Matching+Difference-in-Differences (PSM-DID) model based on the shareholding ratio of non-state-owned shareholders among the top ten shareholders of state-owned enterprises. On this basis, this paper further explored the spillover effect of mixed-ownership reform on the green innovation of SOEs. The results showed that: ① Mixed-ownership reform could effectively promote the green innovation of SOEs. After using the placebo test and instrumental variable method to alleviate the endogenous problem and replacing the matching basis for the robustness test, the conclusion was still valid. ② The mechanism test showed that the improvement of corporate governance level and the knowledge spillover effect were important channels for mixed ownership reform to promote the green innovation of SOEs. The profit-seeking nature of non-state-owned shareholders might have a dampening effect on the green innovation of SOEs in mixed-ownership reform. ③ The heterogeneity analysis of industry characteristics showed that in competitive industries and environmental protection industries, mixed-ownership reform had a more obvious impact on promoting the green innovation of SOEs. ④ Although the mixed-ownership reform promoted the green innovation of SOEs, it was not the higher the better in terms of the proportion of non-state-owned shareholders. When non-state-owned shareholders accounted for 15% to 30%, the promotion effect on the green innovation of SOEs was most obvious. ⑤ The mixed-ownership reform had a spillover effect on the green innovation of unreformed SOEs, effectively promoting the substantive green innovation of these SOEs in the same industry. Therefore, the study proposes that the important role of mixed-ownership reform in green development should be fully recognized and the mixed-ownership reform of SOEs should be further promoted. We should promote the formation of a mutually balanced equity structure and rationally allocate the proportion of non-state-owned capital. At the same time, we should avoid the ‘one-size-fits-all’ mixed-ownership reform and adhere to the classification and stratification of orderly progress. [ABSTRACT FROM AUTHOR]

Big data, a vital driving force of high-quality economic development in China, improves both the speed and efficiency of information exchange and knowledge dissemination. Existing studies have conducted a series of discussions on the dividend effect of big data development, but few have analyzed it from the perspective of corporate green development. Based on the theoretical analysis of the impact of big data development on the internal mechanisms of corporate green technology innovation and on the regulatory role of intellectual property protection, in light of the exogenous policy shock from the ‘National Big Data Comprehensive Pilot Zones,’ this paper studied the A-share listed companies in Shanghai and Shenzhen by adopting the difference-in-differences model (DID) to evaluate the impact of big data development on corporate green technology innovation and the moderating effect of intellectual property protection between them. The research results showed that the development of big data significantly promoted corporate green technology innovation, and that the conclusion still held after a series of robustness tests. Heterogeneity tests showed that the promoting effect of big data development on corporate green technology innovation was more observable in large-scale enterprises, state-owned businesses, and companies with high-level access to data from local governments. The mechanism test indicated that the development of big data could promote corporate green technology innovation by improving the intensity of regional environmental regulation, easing the financing constraints of enterprises, and improving their human capital level. The moderating effect test showed that intellectual property protection played a significant positive moderating role between big data development and corporate green technology innovation. Accordingly, the government should improve the big data development policies to promote deep integration of big data and the real economy in a consistent manner, reinforce the system design concerning corporate green technology innovation guided by policies of big data development, and combine big data development with green development goals such as achieving peak carbon emissions and carbon neutrality. Meanwhile, policies should be refined based on different types of enterprises in different regions so that a long-term mechanism can be established to support corporate green innovation development. It is also necessary to strengthen the construction of an intellectual property protection system so as to accelerate corporate green technology innovation and green development more effectively. [ABSTRACT FROM AUTHOR]

Existing studies mainly focus on exploring the ‘inclusive effect’ of digital finance in the process of technological innovation, but generally ignore the ‘network effect’ of digital finance empowerment. Based on China’s inter-provincial panel data and threshold regression technology, this paper empirically examined the nonlinear empowerment mechanism of digital finance to promote the development of green innovation. The results of this study showed that: during the study period, digital finance significantly drove China ’s green innovation and the empowerment effect of the eastern and central regions was much higher than that of the western regions, indicating that the ‘inclusive effect’ of digital finance was significant; the empowerment effect of digital finance on green innovation had a positive dynamic evolution process from weak to strong, but this kind of ‘network effect’ characteristic mainly appeared in the eastern and western regions, while the central region showed a positive ‘U’-shape nonlinear pattern; and the nonlinear empowerment effect of digital finance on green innovation had a heterogeneous and strengthened adjustment mechanism. It had positive and increasing marginal efficiency characteristics under the adjustment of urbanization, fiscal transparency, and residents’ income level. It was manifested under the constraints of urban-rural income gap and economic growth targets. Under the influence of technology introduction, it presented a positive inverted a ‘U’-shaped characteristic. At present, only by continuously improving fiscal transparency, residents’ income, and urbanization level, continuously narrowing the urban-rural income gap, and keeping the economic growth target and technology introduction at a reasonable level, can we maximize the green innovation effect empowered by digital finance. This article has discovered the coexistence of the ‘inclusive effect’ and ‘network effect’ of digital finance empowerment in the process of green innovation. The relevant conclusions may provide local governments with a ‘Digital Finance Express’ during the 14th Five-Year Plan period to accelerate the development of green innovation. [ABSTRACT FROM AUTHOR]