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The relationship between environmental regulation and firm productivity has been widely debated but inconsistencies in findings across different studies. Using detailed firm-level micro-data from 2000 to 2007, this paper employs difference-in-difference combined with matching based on entropy balancing method to explore the effect of environmental regulation on firm total factor productivity (TFP) in pulp and paper industry in China. Our main findings are as following: Firstly, stricter environmental regulation, as represented by the Wastewater Discharge Standards for Pulp and Paper Industry in Shandong province, increases firm TFP significantly. Moreover, the coefficients of interest are robust to multiple robustness checks. Secondly, dynamic effects estimates reveal that when faced with this phase-in environmental regulation, firms take the foreseeably increasing strictness into account from the very beginning and prefer to take one-step adjustment to reach full compliance. Thirdly, potential mechanism analysis finds that the positive effect mainly comes from the improvement of resource allocation efficiency within firms. Fourthly, the heterogeneity test indicates that the effect of environmental regulation on firm TFP is heterogeneous across firms with different sizes, ages, ownerships, capital intensity, and export status. Finally, this paper provides convincing and insightful evidence that environmental regulation has the potential to achieve the dual goals of environmental sustainability and economic growth and is thus of broader significance for understanding the enforcement of environmental regulation in developing countries. [ABSTRACT FROM AUTHOR]

The relationship between environmental regulation and firm productivity has been widely debated but inconsistencies in findings across different studies. Using detailed firm-level micro-data from 2000 to 2007, this paper employs difference-in-difference combined with matching based on entropy balancing method to explore the effect of environmental regulation on firm total factor productivity (TFP) in pulp and paper industry in China. Our main findings are as following: Firstly, stricter environmental regulation, as represented by the Wastewater Discharge Standards for Pulp and Paper Industry in Shandong province, increases firm TFP significantly. Moreover, the coefficients of interest are robust to multiple robustness checks. Secondly, dynamic effects estimates reveal that when faced with this phase-in environmental regulation, firms take the foreseeably increasing strictness into account from the very beginning and prefer to take one-step adjustment to reach full compliance. Thirdly, potential mechanism analysis finds that the positive effect mainly comes from the improvement of resource allocation efficiency within firms. Fourthly, the heterogeneity test indicates that the effect of environmental regulation on firm TFP is heterogeneous across firms with different sizes, ages, ownerships, capital intensity, and export status. Finally, this paper provides convincing and insightful evidence that environmental regulation has the potential to achieve the dual goals of environmental sustainability and economic growth and is thus of broader significance for understanding the enforcement of environmental regulation in developing countries. [ABSTRACT FROM AUTHOR]

Economic globalization and green development have become the consensus of all countries in the world. The importance of FDI, carbon emissions and green total factor productivity is self-evident. This study analyses the impact of FDI inflows on green TFP and the role of carbon emissions in FDI inflows and green TFP. The empirical analysis employed kernel density estimation, OLS, mediation effect model, and panel quantile regression methods using China's provincial panel data spanning over 2001–2019. The facts show that China's carbon emissions have been reduced because of environmental regulations and green TFP is still rising in fluctuation. The results from OLS and mediation effect model indicate that the impact of FDI inflows on green TFP present an asymmetric inverted U-shape and FDI influences green TFP by changing carbon emissions. The panel quantile regression results also show that FDI has a stronger impact on green TFP in less developed regions. This paper believes that the introduction of FDI should be appropriate and should be accompanied by corresponding environmental regulations, in order to promote green TFP in countries around the world. [ABSTRACT FROM AUTHOR]

The main objective of this paper is to assess the non-linearities between the ESG activities and firm performance in case of an emerging market. China is identified as a case study for the present examination. Even though this research objective has been explored by past researcher, the evidence presented in literature is not conclusive. The paper hypothesizes that such conflicting or inconclusive results can potentially be attributed to wrong modeling, datasets that include both developing and the developed markets, and the prevalent endogeneity issue in corporate governance literature. For the purpose of this paper, the author uses the dynamic panel approach of First difference and the System Generalized Method of Moments. The findings from the analysis of 232 Chinese listed firm show a positive association between ESG activities and the firm performance. However, the relationship is nonlinear. In other words, the relationship between ESG activities and the firm performance is inverted U-shaped. This indicates the relationship is positive up to a certain threshold and once the ESG activities cross that threshold it start to have negative effect. The key insight from this research is that the firm has to find their threshold of ESG activities to gain maximum benefits from such activities. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of Internet infrastructure construction on enterprise transformation and upgrading and the underlying mechanisms using a progressive double difference model based on a quasi-natural experiment of the Chinese government's "broadband China" policy by matching A-share listed companies and city panel data from 2008–2019 in Shanghai and Shenzhen. The conclusions show that the "broadband China" policy can significantly promote the transformation and upgrading of enterprises in pilot cities. However, its effect shows a diminishing marginal contribution, and the policy is more effective for traditional manufacturing industries during the implementation period. Enhancing human capital and reducing internal transaction costs are two important channels for Internet infrastructure construction to help enterprises transform and upgrade. Combined with the life cycle theory, we find that the "broadband China" policy has the most significant impact on changing and upgrading enterprises in the growth and maturity stages, especially those in the manufacturing industry, but not those in the maturity and decline stages of the service industry. Finally, a series of robustness tests using Monte Carlo simulation, entropy balance method, and instrumental variables method, excluding other factors, show that the findings are still robust. [ABSTRACT FROM AUTHOR]

Based on the panel data of 285 cities in China from 2000 to 2019, this paper searches the number of patent applications related to urban artificial intelligence from five dimensions: algorithm, data, computing power, application scenario and related technology. Combining the two perspectives of industrial upgrading and rationalization, we analyze the internal influence theory of the research topic from the theoretical and empirical perspectives. The results show that artificial intelligence is not only conducive to industrial upgrading, but also significantly inhibit the deviation of industrial structure from equilibrium, which is conducive to industrial rationalization. In addition, the conclusion of this paper is still valid after a series of robustness tests, such as eliminating the samples of central cities, winsorize treatment and instrumental variables method. Through the heterogeneity test, it is found that the promoting effect of artificial intelligence on industrial upgrading is more obvious in big cities and cities with high level of industrial upgrading. The internal mechanism test results show that artificial intelligence promotes industrial upgrading by promoting technological innovation. In cities with a high degree of marketization and Internet development, the role of artificial intelligence in promoting industrial upgrading can be strengthened. The research conclusions of this paper will be conducive to accelerating the development of artificial intelligence to promote industrial upgrading, and provide a useful reference for realizing high-quality development. [ABSTRACT FROM AUTHOR]

The effective identification of systemically important financial institutions (SIFIs) is key to preventing and resolving systemic financial risks; thus, it is of great research significance for emerging countries to supervise SIFIs and manage systemic financial risks. Since traditional research on identifying SIFIs does not consider emerging machine learning models, it is difficult to properly fit the characteristics of actual financial institutions' asset distribution. This paper proposes a new method for measuring SIFIs, integrating the PSO-SVM model into the Copula-CoVaR model. This new PSO-SVM-Copula-CoVaR model is meant to evaluate China's SIFIs based on the publicly traded price data of Chinese listed financial institutions. The empirical results show that, compared with the traditional parameter method (GARCH model) and the nonparametric method (kernel density estimation), the marginal distribution estimation method using the PSO-SVM method can better fit the distribution of an institution's financial asset return sequence. That is, the model proposed in this paper helps regulatory authorities improve the list of SIFIs more reasonably and implement effective regulatory measures. [ABSTRACT FROM AUTHOR]

Taking the golden 20 years of the Chinese leather industry as an example, this paper adopts a spatial panel model to accurately portray the characteristics of spatial evolution and the trend of development of agglomeration of the leather industry. This paper further systematically identifies the key driving factors of leather industry agglomeration, taking into account the time effect, spatial effect, and spatio-temporal effect at the same time. The results show that China's leather industry shows a shift from coastal areas to diffusion to inland areas. In terms of influencing factors, resource endowment and economic externality are the key force leading the agglomeration of leather industry. In addition, according to the results of group regression, it is found that innovation capacity and environmental regulation have become the main driving forces affecting the development of leather industry. Therefore, the government should carry out global planning according to the spatial pattern and transfer path of leather industry agglomeration. Based on the deep-level driving mechanism of industrial pattern evolution, specific industrial measures should be formulate to realize the development and promotion of leather industry in the new era. [ABSTRACT FROM AUTHOR]

The investigation of association between board diversity and the firm performance is the subject of many studies. However, the empirical results presented in the extant literature are inconclusive at best. The inconclusive empirical results could be due to several factors and one of them could be that the relationship is contingent on some key factors. Given the rising trend of Environmental, Social and Governance (ESG) activities, in this paper the relationship between board diversity and the firm performance is tested in the context of ESG activities. The subject of examination in this study is the listed Chinese firms. The sample period spans for 6 years and is collected from 2014 to 2019. This work uses a dynamic approach to modelling relationships. The generalised method of moments (GMM) is used in a two-step system. An endogeneity-free estimate may be achieved by using this strategy. We can learn a great deal from these hypotheses. There is a positive and substantial correlation between board diversity and the firm's success, which suggests that diverse boards are beneficial to businesses. Both ESG activities and a positive coefficient on company performance are significant. This shows investors appreciate companies that are involved in ESG activities because they see this as an investment that pays off. Last but not least, the report shows that board diversity has a negative and considerable impact on ESG efforts. According to the results, board diversity and ESG efforts are not necessary for a company's success. According to the data, board diversity is not particularly beneficial in the context of significant ESG initiatives. Board diversity really hurts a company's success when it engages in high ESG activities. The study also discusses the work's policy ramifications. Finally, the work lays out a clear path for further study. [ABSTRACT FROM AUTHOR]

In theory, previous studies believed that the export market of enterprises was homogeneous. There is no difference in each export market, which is obviously inconsistent with the actual trade situation. This paper divides the export market of enterprises into main export market and secondary export market according to the export status, explores the export changes of enterprises to the main export market and secondary export market respectively when the temporary trade barriers of the main export market to the trade exporting country are raised. This paper focuses on the impact of the main export market on the anti-dumping degree, countervailing level and the improvement of trade safeguard measures on the export conversion of enterprises between the main and secondary markets. The research shows that the increase of the anti-dumping degree of the main market against the trade exporting countries will lead to the higher probability of role exchange between the main and secondary markets; The countervailing level of the main market against the trade exporting countries rises, and the export of enterprises is more likely to turn to the secondary market; The greater the trade safeguard measures in the main market, the more likely the secondary market will become the main market. [ABSTRACT FROM AUTHOR]

The main objective of this paper is to assess the non-linearities between the ESG activities and firm performance in case of an emerging market. China is identified as a case study for the present examination. Even though this research objective has been explored by past researcher, the evidence presented in literature is not conclusive. The paper hypothesizes that such conflicting or inconclusive results can potentially be attributed to wrong modeling, datasets that include both developing and the developed markets, and the prevalent endogeneity issue in corporate governance literature. For the purpose of this paper, the author uses the dynamic panel approach of First difference and the System Generalized Method of Moments. The findings from the analysis of 232 Chinese listed firm show a positive association between ESG activities and the firm performance. However, the relationship is nonlinear. In other words, the relationship between ESG activities and the firm performance is inverted U-shaped. This indicates the relationship is positive up to a certain threshold and once the ESG activities cross that threshold it start to have negative effect. The key insight from this research is that the firm has to find their threshold of ESG activities to gain maximum benefits from such activities. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of Internet infrastructure construction on enterprise transformation and upgrading and the underlying mechanisms using a progressive double difference model based on a quasi-natural experiment of the Chinese government's "broadband China" policy by matching A-share listed companies and city panel data from 2008–2019 in Shanghai and Shenzhen. The conclusions show that the "broadband China" policy can significantly promote the transformation and upgrading of enterprises in pilot cities. However, its effect shows a diminishing marginal contribution, and the policy is more effective for traditional manufacturing industries during the implementation period. Enhancing human capital and reducing internal transaction costs are two important channels for Internet infrastructure construction to help enterprises transform and upgrade. Combined with the life cycle theory, we find that the "broadband China" policy has the most significant impact on changing and upgrading enterprises in the growth and maturity stages, especially those in the manufacturing industry, but not those in the maturity and decline stages of the service industry. Finally, a series of robustness tests using Monte Carlo simulation, entropy balance method, and instrumental variables method, excluding other factors, show that the findings are still robust. [ABSTRACT FROM AUTHOR]

Based on the panel data of 285 cities in China from 2000 to 2019, this paper searches the number of patent applications related to urban artificial intelligence from five dimensions: algorithm, data, computing power, application scenario and related technology. Combining the two perspectives of industrial upgrading and rationalization, we analyze the internal influence theory of the research topic from the theoretical and empirical perspectives. The results show that artificial intelligence is not only conducive to industrial upgrading, but also significantly inhibit the deviation of industrial structure from equilibrium, which is conducive to industrial rationalization. In addition, the conclusion of this paper is still valid after a series of robustness tests, such as eliminating the samples of central cities, winsorize treatment and instrumental variables method. Through the heterogeneity test, it is found that the promoting effect of artificial intelligence on industrial upgrading is more obvious in big cities and cities with high level of industrial upgrading. The internal mechanism test results show that artificial intelligence promotes industrial upgrading by promoting technological innovation. In cities with a high degree of marketization and Internet development, the role of artificial intelligence in promoting industrial upgrading can be strengthened. The research conclusions of this paper will be conducive to accelerating the development of artificial intelligence to promote industrial upgrading, and provide a useful reference for realizing high-quality development. [ABSTRACT FROM AUTHOR]

Corporate social responsibility (CSR) reports are important carriers of enterprises non-financial information disclosure, which are inextricably related to the production efficiency and performance of enterprises. The objective of this paper is discovering the causal effect of the CSR mandatory disclosure policy and the total factor productivity (TFP) of enterprises. This paper uses the sharp regression discontinuity design based on the micro data of the enterprises to study the impact by taking China's mandatory disclosure policy in 2008 as a quasi-natural experiment. This paper makes some contribution to the impact of mandatory CSR disclosure on enterprise TFP and the mechanism and heterogeneity of this impact. The research draws the following conclusions: First, the CSR mandatory disclosure can significantly improve the TFP of enterprises on the whole, and this effect has the characteristics of long-term and dynamic decline. Second, the mechanism of mandatory disclosure of CSR on TFP is through the mediating effect of R&D and innovation expenditures. Third, the heterogeneity of the impact of CSR mandatory disclosure on TFP is reflected in two aspects: industry and equity nature differences. These conclusions are strongly correlated with the contingent decision-making behaviour of enterprises and give some ideas to the policy makers. [ABSTRACT FROM AUTHOR]

Policy uncertainties have always played a critical role in shaping economic outcomes, as evidenced by the recent sluggish economic growth in many countries. Green economic efficiency (GEE) is a comprehensive index to measure economic, social, and environmental development. This paper uses the slack-based measurement (SBM) directional distance function and Luenberger productivity indicator to measure the static GEE and dynamic green total factor productivity (GTFP) of China's urban agglomerations from 2003 to 2020 under constraints of resources and environment. In order to clarify the driving mechanisms of GEE and GTFP, this paper adds the factor of economic policy uncertainty (EPU). The results show that there is a positive correlation between EPU with GEE and GTFP. The possible reason is that the market mechanism plays a decisive role in improved GEE and GTFP. Therefore, policymakers should give better play to the government's macro-control role, and play the decisive role of the market mechanism in the environmental governance system to improve GEE and GTFP in a targeted manner. [ABSTRACT FROM AUTHOR]

In the context of modern scientific and technological revolution and industrial transformation, the development of digital finance is conducive to improving the ecological environment and the energy total factor productivity (TFP). In this paper, DEA cross-efficiency model is used to measure the energy TFP, and moment estimation method is used to empirically test the influence and heterogeneity of digital finance on energy TFP, and then the intermediary model is constructed to study and analyze the influence mechanism based on the sample data of 30 provinces in the Chinese Mainland from 2011 to 2018. The following research findings are obtained. First, the development of digital finance has played a significant role in improving energy TFP. Second, spatial heterogeneity exists in the process of digital finance affecting energy TFP improvement, that is, digital finance has a more obvious improvement effect on the energy TFP in central and western China than in eastern China. Third, digital finance can affect energy TFP through technological innovation; that is, the improvement of regional technological innovation is an important transmission mechanism for digital finance to affect energy TFP. [ABSTRACT FROM AUTHOR]

Blind-box consumption, a phenomenon sweeping through the retail market in China, is the process of buying an unlabelled box containing assorted and random novelty gifts from different retailers. Despite the intensity of its emergence, the extent of research on the phenomenon from a marketing perspective has been scarce. This paper identifies factors likely influencing Chinese consumers participating in blend-box consumption. These factors include brand familiarity emotional value and speculative potential. Conceptual issues discussed include the role of emotions and cognition as forces underpinning shopping behavior. The paper also highlights the marketing strategy features that have successfully driven the blend-box consumption experience. [ABSTRACT FROM AUTHOR]

Taking the implementation of Cleaner Production Standards at the industry level in China as a quasi-natural experiment, the impact of these standards on enterprises' exit behavior was empirically analyzed by using the Difference-in-Differences method. Results suggested that the implementation of Cleaner Production Standards reduced the probability of enterprises exiting the market. A parallel trend test, Propensity Score Matching (PSM), and the exclusion of other policy factors were then used to verify the robustness of this finding. The impact mechanism test showed that implementation of the standards reduced the probability of enterprises exiting the market through improving total factor productivity and promoting enterprise product innovation. The heterogeneity test revealed that, on the one hand, the implementation of Cleaner Production Standards can reduce the probability of R&D intensive industries and medium-sized enterprises exiting the market, and protect innovative and moderately sized enterprises. On the other hand, the implementation of Cleaner Production Standards can increase the probability of state-owned enterprises and small-scale enterprises exiting the market and optimize the allocation of resources among enterprises. This paper has important implications for China's future approach to environmental policy formulation as well as the optimization of domestic enterprise structure. [ABSTRACT FROM AUTHOR]

The response of energy firms to green credit policy is of great significance, which is related to the emission reduction effect of green finance and transformation of energy firms. This paper analyzes the impact of green credit policy on the growth of energy firms based on the data of Chinese listed companies from 2009 to 2019. The empirical results show that green credit policy has significantly promoted the growth of energy firms. Further research shows that green credit policy promoted the growth of energy firms by reducing financing costs and promoting green innovation. Besides, the owned firms, big-scale firms and firms in central and eastern China are more susceptible to the impacts of the green credit policy. This study is relevant to the implementation of green credit policies and the promotion of the development and transformation of energy firms. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to re-examine the impact of exchange rate changes on the trade balance of China and its major trading partners. In the past, many studies have been focussed on the linear effect of exchange rate change, but in this paper, a non-linear Autoregressive Distribution Lag (NARDL) model is proposed. Empirical results show that there are nonlinear and asymmetric effects on the trade balance of exchange rate. In particular, the effect of exchange rate appreciation on Sino-US trade balance is more significant than that of depreciation. A genuine devaluation of the domestic currency would improve the balance of the domestic trade. However, the opposite effect is found in the case of Sino-Japan and the Euro, and the depreciation of the currency will make the trade balance worse. These results provide a solid basis for understanding the relation of exchange rate variation and trade balance. In terms of economic reality, it is also a useful reference for adjusting exchange rate and commercial policy. [ABSTRACT FROM AUTHOR]

As a new urbanization mode, smart cities provide a way to achieve the mutually beneficial situation of both economic development and environmental protection. As such, the question of whether and how smart-city construction can promote the high-quality development of urban economies is worth considering. By measuring the green total factor productivity (GTFP) of 233 cities in China from 2004–2019, this paper adopts the national pilot smart cities of China as a quasi-experiment and constructs a time-varying DID model to explore the direct, dynamic, and heterogeneity influence of smart-city construction on GTFP. The results indicate the following: (1) Smart-city construction can significantly promote the urban GTFP, which is mainly caused by the progress of green technology, and the effect is robust after a series of robustness tests; (2) smart-city construction can contribute to GTFP improvement primarily through accelerating technological innovation, promoting industrial upgrading, and realizing resource allocation optimization; and (3) smart cities that are larger in scale, have a higher administrative rank, and lie in eastern regions have stronger positive effects on GTFP. This study aims to contribute to the promotion of urban sustainable development. [ABSTRACT FROM AUTHOR]

The effective identification of systemically important financial institutions (SIFIs) is key to preventing and resolving systemic financial risks; thus, it is of great research significance for emerging countries to supervise SIFIs and manage systemic financial risks. Since traditional research on identifying SIFIs does not consider emerging machine learning models, it is difficult to properly fit the characteristics of actual financial institutions' asset distribution. This paper proposes a new method for measuring SIFIs, integrating the PSO-SVM model into the Copula-CoVaR model. This new PSO-SVM-Copula-CoVaR model is meant to evaluate China's SIFIs based on the publicly traded price data of Chinese listed financial institutions. The empirical results show that, compared with the traditional parameter method (GARCH model) and the nonparametric method (kernel density estimation), the marginal distribution estimation method using the PSO-SVM method can better fit the distribution of an institution's financial asset return sequence. That is, the model proposed in this paper helps regulatory authorities improve the list of SIFIs more reasonably and implement effective regulatory measures. [ABSTRACT FROM AUTHOR]

Taking the golden 20 years of the Chinese leather industry as an example, this paper adopts a spatial panel model to accurately portray the characteristics of spatial evolution and the trend of development of agglomeration of the leather industry. This paper further systematically identifies the key driving factors of leather industry agglomeration, taking into account the time effect, spatial effect, and spatio-temporal effect at the same time. The results show that China's leather industry shows a shift from coastal areas to diffusion to inland areas. In terms of influencing factors, resource endowment and economic externality are the key force leading the agglomeration of leather industry. In addition, according to the results of group regression, it is found that innovation capacity and environmental regulation have become the main driving forces affecting the development of leather industry. Therefore, the government should carry out global planning according to the spatial pattern and transfer path of leather industry agglomeration. Based on the deep-level driving mechanism of industrial pattern evolution, specific industrial measures should be formulate to realize the development and promotion of leather industry in the new era. [ABSTRACT FROM AUTHOR]

The investigation of association between board diversity and the firm performance is the subject of many studies. However, the empirical results presented in the extant literature are inconclusive at best. The inconclusive empirical results could be due to several factors and one of them could be that the relationship is contingent on some key factors. Given the rising trend of Environmental, Social and Governance (ESG) activities, in this paper the relationship between board diversity and the firm performance is tested in the context of ESG activities. The subject of examination in this study is the listed Chinese firms. The sample period spans for 6 years and is collected from 2014 to 2019. This work uses a dynamic approach to modelling relationships. The generalised method of moments (GMM) is used in a two-step system. An endogeneity-free estimate may be achieved by using this strategy. We can learn a great deal from these hypotheses. There is a positive and substantial correlation between board diversity and the firm's success, which suggests that diverse boards are beneficial to businesses. Both ESG activities and a positive coefficient on company performance are significant. This shows investors appreciate companies that are involved in ESG activities because they see this as an investment that pays off. Last but not least, the report shows that board diversity has a negative and considerable impact on ESG efforts. According to the results, board diversity and ESG efforts are not necessary for a company's success. According to the data, board diversity is not particularly beneficial in the context of significant ESG initiatives. Board diversity really hurts a company's success when it engages in high ESG activities. The study also discusses the work's policy ramifications. Finally, the work lays out a clear path for further study. [ABSTRACT FROM AUTHOR]

This paper takes 66 local government debt governance policy texts from 2009 to 2019 as sample, and constructs an analysis framework of 'target debt - management measures - mechanism guarantee', derives up with identifying the characteristics of determining local government debt governance in China. The results show as follow: (i) It attaches more importance to the policy design of 'borrowing', 'repayment' and 'management' on local government debt instead of the 'usage' in China. (ii) The evidence supports the relatively average coding distribution of each policy, but the content is quite different. (iii) It manifests the new development value of 'people-oriented' and the concept of collaborative governance in the policy design. (iv) It has formed a 'centre-edge' model for the governance of the local government debt. This paper provides a new perspective for the study of the problems of local government debt governance, and puts forward policy recommendations for improving the governance of the local government debt. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the characteristics and mechanisms of cultural diversity that affect foreign direct investment (FDI) using the panel data on provinces in China from 1999 to 2019 and find that, in general, cultural diversity inhibits FDI absorption. However, this kind of adverse effect has a nonlinear threshold characteristic. That is, when the population density reaches a certain level or urbanization is controlled within a certain range, the increase in cultural diversity can weaken the inhibitory effect on FDI. Additionally, by exploring the mechanisms of cultural diversity affecting FDI, we further find that cultural diversity inhibits FDI mainly through the channels of inhibiting population density and urbanization. The conclusions of this paper not only enrich the theoretical research on FDI location from the perspective of cultural diversity but also shed light on how to better attract FDI to China and other countries, such as resolving cultural conflicts and constructing an inclusive investment environment. [ABSTRACT FROM AUTHOR]

Whether digital finance should be included in the quantitative framework of monetary policy in emerging market countries has been widely discussed by scholars. However, the current research just focused on a single format of digital finance, lacking comprehensive analysis at the overall level and the refinement of general rules. Therefore, this paper constructed a spatial econometric model to empirically analyze the impact of digital finance on the effectiveness of monetary policy and its heterogeneity, taking China as the representative of emerging market countries. The empirical test showed that (1) Although the total index of digital finance had a negative impact on economic growth, the interaction between digital finance and monetary policy was significantly positive. This indicated that the "moderating effect" of monetary policy was beneficial to digital finance in promoting economic growth, which was confirmed from the subindexes level as well. (2) The development of digital finance had obvious characteristics of the "polarization effect" and the "spatial spillover effect". Meanwhile, there was a significant regional difference in the "moderating effect" of monetary policy. (3) In terms of control variables, consumption level, fixed capital formation level, and fiscal policy all had a significant positive impact on economic growth, with a positive "spatial spillover effect". Whereas, the impacts of COVID-19 and export level on economic growth were both negative. Hence, coping with the challenges of COVID-19 and revitalizing exports were important breakthroughs for emerging market countries to recover the domestic economy. Finally, based on the empirical conclusions, this paper proposed three suggestions. First, monetary policy should be strengthened to intervene in the development of digital finance. Second, digital financial development should be integrated into the quantitative framework of monetary policy. Third, it is essential to build a "double pillar" policy framework to compensate for the shortage of monetary policy. [ABSTRACT FROM AUTHOR]

This paper adopts five dimensions and 15 indexes of green development, people's life, innovation ability, economic vitality and coordinated development to establish an evaluation system of high-quality economic development. It uses principal component analysis to measure the economic high-quality development of 233 prefecture-level cities from 2003 to 2016, and empirically studies the impact of import sophistication on China's high-quality economic development. The results show that the increase in the sophistication of imported technology can significantly promote the high-quality development of the regional economy, and this effect is applicable to both imported intermediate and final products. In regions with higher and lower levels of economic development, eastern areas, and regions with high-quality development above 90% quantiles, the increase in imported technology content can significantly drive the high-quality development of the local economy. However, it has a great negative impact on the areas with a high-quality development index below 10% quantile. The robustness and endogeneity check support the above viewpoint. Further mechanism analysis shows that the final product import competition and intermediate product import spillover play a mediating role in the process of import sophistication affecting the high-quality economic development. The conclusion of this paper has important theoretical value and practical significance for the use of import trade to achieve high-quality economic development. [ABSTRACT FROM AUTHOR]

This paper analyzes digital economy data from Beijing and 1 Chinese province and city by a panel model and a fixed impact model. The findings are as follows: First, the development of digital participatory finance has positively influenced China's consumption level, consumption structure, consumption areas and development, mainly because it has affected the consumer goods of Chinese citizens. Second, by analyzing digital economy indicators and data at different stages of economic development, it is believed that the size and reach of the digital economy will have a more positive impact on per capita consumption in China. China's digital economy mainly affects the urban-rural structure, regional structure, and consumption habits of residents to realize the impact of the digital economy. The digital economy has a much greater impact on growth-oriented household consumption than on household consumption. Based on the findings, recommendations for action are also provided. The government should strengthen digital infrastructure, improve digital economy products and derivative financial services, improve the quality of current financial services for citizens, and increase the affordability of citizens to successfully develop the digital economy. [ABSTRACT FROM AUTHOR]

The cultural industry with innovation, low pollution and low energy consumption may become the next strategic pillar industry in China. The tax reform of 'Replacing business tax with value-added tax (VAT)' not only lays a solid foundation for the establishment of green tax system, but also contributes to the enterprise development and performance improvement. This paper aims to study the impact of VAT reform policy on the financial performance of listed companies in the cultural industry. To this end, the PSM-DID method was applied, and natural experiments were made by taking A shares listed companies from 2009 to 2014 as the reform pilot. The research finds that: (1) the VAT reform policy 'replacing business tax with VAT' is conducive to improving the financial performance of cultural industry enterprises; (2) the policy has more positive impact on the financial performance of manufacturing cultural enterprises than on non-manufacturing ones; (3) compared with state-owned enterprises, the policy contributes more to the financial performance of private enterprises. This study provides empirical evidence for evaluating the impact of VAT reform policy on the operation of cultural industry enterprises. It has practical significance for improving the VAT system and the financial operation of cultural enterprises. [ABSTRACT FROM AUTHOR]

Factor mismatch has seriously restricted the high-quality development of China's economy. In order to solve the problem of unreasonable factor allocation in the Chinese economy, this paper takes the innovative pilot cities implemented by the Chinese government as a quasi-natural experiment to study its impact on innovation factor mismatch. The results show that: (1) the implementation of innovation-driven policies significantly improves the mismatch of innovation factors, which still holds after a series of robustness tests and endogeneity tests; (2) For non-state-owned enterprises, non-labor-intensive enterprises and the eastern region, the implementation of innovation-driven policies can better improve the mismatch of innovation factors. Furthermore, this paper finds that the implementation of innovation-driven policies can improve the mismatch index of high-skilled R&D personnel and the capital mismatch index of basic research and applied research. (3) Innovation-driven policies improve the mismatch of innovation factors by strengthening the flow of factors and promoting the upgrading of industrial structure. [ABSTRACT FROM AUTHOR]

Finance plays an important role in China's new development pattern, and the financial industry is also a crucial part of the country's economic growth. This paper selects the four financial index data of 76 listed companies in the financial profile of Hithink RoyalFlush stocks and the consolidated balance sheet and consolidated income statement in the China Stock Market Accounting Research (CSMAR) database, empirically studies the impact of tax reduction and fee reduction on the financial industry through the Panel Vector Autoregression (PVAR) model, and gives relevant suggestions. The results show that: (1) The implementation of tax reduction and fee reduction policy makes the net profit available to the financial industry increase in the short term, but the long-term effect is not obvious. (2) The reduction of the tax burden will significantly increase the net sales interest rate of the financial industry within one year, and then the fluctuation in the impact tends to 0. (3) The reduction of the tax burden will lead to the reduction of financial enterprises' sense of hardship in a certain period of time, which will lead to the reduction of the total asset turnover rate. (4) The reduction of the tax burden will increase the debt-to-asset ratio of financial enterprises within two years, thus increasing financial risk. The research not only provides a theoretical analysis and policy basis for the analysis of the impact of tax reduction on the financial industry but also provides decision support for tax reduction policies to revitalize industry development, stimulate financial market activities, ensure direct access to financial resources to enterprises, and further increase the market activities of the whole society. [ABSTRACT FROM AUTHOR]

The paper aims to analyse the role of asset impairment and biological assets in the company's audit and to estimate the impact of asset impairment losses and biological asset scale on audit fees. The object of the investigation was A-share listed companies from 2012 to 2021 in China. The study analysed 370 listed companies to obtain 28741 observations, of which 367 listed companies had 1854 observations with biological assets. The study applied the fixed effect model, three-step mediation test, Sobel mediation test and PSM matching test. The results show that asset impairment loss and biological asset size are significantly positively correlated with audit fees, and the scale of biological assets will strengthen the positive correlation between asset impairment loss and audit fees. It is further found that asset impairment and biological assets positively affect audit fees through two parallel intermediary paths of "audit working hours" and "violations". Finally, based on the above findings, this paper also attempts to make optimisation recommendations for the four relevant stakeholders involved in the audit. This paper contributes to improving accounting standards for biological assets and enriching the research on audit pricing based on the empirical justifications of their role in the company's audit. [ABSTRACT FROM AUTHOR]

The impact of human capital on the process of urbanization is very important. This research aims to examine the effect of heterogeneous human capital on the process of new urbanization and divides human capital into basic human capital, skill-based human capital, and knowledge-based human capital. The 2005–2019 provincial spatial panel data model analyzes the impact of heterogeneous human capital and spatial spillover effects on the process of new urbanization based on distinct spatial weight matrices. The results indicate that the three types of human capital have obvious spatial correlations with the evolution of new urbanization. Basic and skill-based human capital have a significant positive influence on boosting the process of new urbanization, while the influence of knowledge-based human capital is not obvious, and less effect on surrounding cities. In terms of regional heterogeneity, the promotion effect of human capital in the east is higher than that in the middle and west. According to the research, this paper suggests that the government should guarantee the social welfare of basic human capital and skilled human capital, because they are an important force in the construction of urbanization, and weaken the impact of academic qualifications on the introduction of urban talents. [ABSTRACT FROM AUTHOR]

The causal link between green credit (GC) and particulate matter 2.5 (PM2.5) is discussed this paper for the case of China using the bootstrap rolling-window Granger causality test. The fresh empirical results show that GC had both positive and negative influences on PM2.5 in two separate sub-sample periods. In turn, PM2.5 positively and consistently affected GC in two sub-sample periods. In addition, time periods without causalities were also found in the sample. These inconsistent conclusions do not provide strong support for the hypothesis that GC and PM2.5 would affect each other throughout the whole sampling period. Government intervention, public environmental awareness, the domestic economic situation, and other factors were fully considered in interpreting the deviations in certain periods. Thus, the major contribution of this study is that the linear assumption of causality was relaxed, which is more in line with China's realities. Some policies are suggested to further strengthen the construction of the GC framework and establish a multiparticipant GC system. Moreover, PM2.5 is an important reference and can be incorporated into enterprises' green financing strategy. [ABSTRACT FROM AUTHOR]

Does participation in the ASEAN-China regional value chain (RVC) affect China's manufacturing enterprises' global value chain (GVC) positions in the context of the establishment of the ASEAN-China Free Trade Area (ACFTA)? In this paper, we discuss the theoretical mechanisms and impacts of RVC participation on GVC positions and use an input-output model to decompose the gross exports of China by different sources and destinations. The model measures China's manufacturing industries' total, upstream and downstream participation within the ASEAN-China regional value chain. Using panel data from the OECD for 2005 to 2015, the empirical results show that (1) the participation of China's manufacturing industries in the RVC is conducive to improvement in their GVC positions, (2) moving to more upstream can indeed promote the GVC positions of enterprises, and (3) in contrast to labour-intensive and capital-intensive manufacturing, knowledge-intensive manufacturing in upstream activities of the RVC contributes the most to GVC positions. It is suggested that China should develop knowledge-oriented industries and move to more upstream of the ASEAN-China RVC to raise manufacturing industries' positions in the GVC. [ABSTRACT FROM AUTHOR]

In this paper, we empirically investigate how a governmental environmental information disclosure (EID) program in China affects the extensive and intensive margins of export for a panel of Chinese industrial firms. The results show that stricter enforcement of environmental disclosure discourages firms' participation in export. However, the export volume of remaining exporting firms increases following more environmental disclosure. The results are robust to a battery of robustness checks as well as an IV estimation. Mechanism analysis reveals that firms' propensity of innovation increases after stricter enforcement of disclosure, lending support for the Porter hypothesis. [ABSTRACT FROM AUTHOR]

This paper examines IPO underpricing from the institutional investor perspective in emerging markets. Observing market adjusted returns for several countries, industries, and years, results show evidence that the underpricing phenomenon is present across all emerging markets, averaging at 30.29% on the first trading day, and 27.98% for the first trading month. Underpricing particularly stands out in China, for the Basic Materials industry, during the 2007/2008 financial crisis period, increases with higher levels of property rights protection and decreases in countries with relatively more freedom from corruption. Underpricing is positively related to a country's legal framework and negatively related to the number of IPOs. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the downside and upside risk spillovers from three kinds of commercial banks (state-owned commercial banks (SOCBs), joint-stock commercial banks (JSCBs) and city commercial banks (CCBs)) to China's financial system by proposing a new copula quantile regression-based CoVaR model. We find that (i) the dynamic risk spillovers show heterogeneity over time, specifically that its downward trend is significant after the stock market disaster in 2015; (ii) JSCBs display the largest risk spillovers, indicating that JSCBs are the main contributors to systemic risk in China's financial system; and (iii) the risk spillovers are not symmetrical, as the upside risk spillovers are smaller than the downside risk spillovers. Our results have crucial implications for financial regulators and investors who want to measure and prevent systemic financial risk and optimise their investment strategies. [ABSTRACT FROM AUTHOR]

Tourism is a rapidly rising sector that contributes significantly to economies. In this paper, we apply a bootstrap full-sample causality test, parameter stability test, and quantile-on-quantile approach test so as to examine the relationship between consumer confidence index (CCI) and outward tourism expenditure (OTE) for the period between 1998:Q1 to 2021:Q4. The results of the findings reflect that CCI tends to exert a positive impact on the OTE in most of the quantiles. This essentially implies that consumer confidence in China can act as a compound for outbound tourism expenditure in nature. Therefore, it can be affirmed that the OTE tends not to have an effect on the CCI, thus extending the implication that an alteration in the private outbound tourism spending in most likely to be insufficient for the modification of the factor of consumer confidence. To ensure the robustness of the results, we have employed the quantile-based granger causality to investigate the causal relationship in quantile between CCI on the OTE. The results of this study tend to educate the foreign tourism policymakers, while at the same time making forecasts of the tourism arrivals from China. Policymakers can then plan their tourism strategies, ideally including the CCI. [ABSTRACT FROM AUTHOR]

From the perspective of economic growth efficiency, this paper adopts the traditional DEA-Malmquist index method and the SBM-ML index method considering undesired output to measure the growth efficiency of China's real economy with or without environmental constraints. The results show that: (1) From 2005 to 2017, the total factor productivity of China's real economy increased by 2.7%, but under environmental constraints, the total factor productivity of China's real economy decreased by 0.6%, mainly due to the "drag" of the growth efficiency of the real economy by technological changes. Second, without considering the unintended output, 76.67% of the provinces and cities have improved the growth efficiency of the real economy, and 93.33% have made technological progress. Third, under environmental constraints, the total factor productivity and technological progress showed an upward trend only in the central region, while all other regions showed a downward trend to varying degrees. The descending range is east > northeast > west. [ABSTRACT FROM AUTHOR]

This study investigates the unsymmetrical effect from air quality (AQ) to stock return (SR) in China's different industries. Depending on quantile-on-quantile (QQ) test, it draws the important results in following aspects. For tourism, iron and steel, and automobile industries, their coefficient values between AQ and SR turn into negative from positive with deteriorating AQ. Conversely, the coefficients in the wind power, hydro power, thermal power, environmental protection, and medical equipment industries turn positive from negative. Some contributions are thus drawn when compared to existing literatures. Government industrial policy is regarded as an important supplement in explaining mechanism from AQ to SR, except investor sentiment. Industrial heterogeneity is seriously treated in this paper due to different industries have different responses to AQ. Besides, the QQ test is able to capture nexus between AQ and SR in specific quantiles through embedding non-parametric estimation into conventional quantile approach. Therefore, investors should avoid biased trading decisions under different air qualities. Meanwhile, government intervention is paid special attention when appearing serious air pollution. [ABSTRACT FROM AUTHOR]

In the recent literature, energy efficiency got the attention of scholars due to its discouraging impact on CO2 emissions, which is considered the most prevalent greenhouse gas that human activities produce. Data reports that China is the leading CO2 emitting country across the globe, and still the environmental degradation is in progress. Thus, the current paper empirically investigates the impact of energy efficiency (ENEF), financial inclusion (FD), GDP, export diversification (EXD), and human capital index (HCI) on the environmental degradation of China over the period from 1988 to 2018. This study uses various time-series tests to empirically investigate the determinant of CO2 emissions, including normality tests, unit root tests, and combined cointegration tests. Besides, the long-run coefficients are analyzed via the fully modified ordinary least square (FMOLS), dynamic OLS (DOLS), and the Canonical Cointegrating Regression (CCR) estimators. The empirical findings reveal that all the variables are cointegrated in the long run. However, the coefficient estimate shows that ENEF and HCI significantly promote environmental sustainability. While GDP, FD, and EXD significantly promote environmental degradation by enhancing the CO2 level in the atmosphere. This study recommends practical policy implications based on the empirical findings: energy-efficient products and energy sources could be promoted. [ABSTRACT FROM AUTHOR]

Co-patents are outcomes of R&D collaboration, which has been proven with higher-quality. Does this mean that high-quality patents should also extend their advantage to the technology market? Based on the transaction cost theory, we use the China National Intellectual Property Administration (CNIPA) database and logit model to explore the effect of co-ownership on firms' patent commercialization and the factors of co-patents that affect their commercialization. Our findings illustrate that co-ownership has a negative impact on patent commercialization. In addition, the co-owner's nature, country, and co-patent's industry influence the commercialization of co-patents. Firstly, a company and a university or research institution's co-owned co-patents are less likely to be commercialization than a company and a company co-owned co-patents. Secondly, multi-countries co-owned co-patents are less likely to be commercialization than a single-country co-owned co-patents. Thirdly, co-patents in high technology (high-tech) industries are less likely to be commercialization than co-patents in non-high-tech industries. This paper supports policymakers in implementing policies to promote the co-patents' commercialization. Meanwhile, our paper suggests that to pursue the economic value of the R&D collaborative intellectual property fruits, R&D collaborative intellectual property fruits are not be encouraged to be applied as the co-patents. [ABSTRACT FROM AUTHOR]

As a new urbanization mode, smart cities provide a way to achieve the mutually beneficial situation of both economic development and environmental protection. As such, the question of whether and how smart-city construction can promote the high-quality development of urban economies is worth considering. By measuring the green total factor productivity (GTFP) of 233 cities in China from 2004–2019, this paper adopts the national pilot smart cities of China as a quasi-experiment and constructs a time-varying DID model to explore the direct, dynamic, and heterogeneity influence of smart-city construction on GTFP. The results indicate the following: (1) Smart-city construction can significantly promote the urban GTFP, which is mainly caused by the progress of green technology, and the effect is robust after a series of robustness tests; (2) smart-city construction can contribute to GTFP improvement primarily through accelerating technological innovation, promoting industrial upgrading, and realizing resource allocation optimization; and (3) smart cities that are larger in scale, have a higher administrative rank, and lie in eastern regions have stronger positive effects on GTFP. This study aims to contribute to the promotion of urban sustainable development. [ABSTRACT FROM AUTHOR]

In tandem with global initiatives to 'go green', China is undertaking a series of steps to achieve green economic growth. To investigate the dynamic nexus of green growth, green trade, and green energy (3 G) in China, an index is developed in this study to assess the level of provincial green growth by employing five types of indicators – economic growth, environmental pollution loss, carbon emissions loss, natural resource loss, and environmental and natural resource benefits. Then, this paper uses the SYS-GMM method to explore the influences of green trade and green energy on green growth by using data compiled from 30 provinces in China over the period 2007–2016. Furthermore, we check the potential heterogeneity, asymmetry, and internal mediating mechanism of the 3 G nexus. The main findings are highlighted as follows: (1) Green trade and green energy can accelerate China's green growth; (2) enhancing medium- and high-technology green trade can contribute to improving local green growth; (3) this impact is heterogeneous in regions with different trade levels, and asymmetric at various quantiles for the full panel; (4) the positive investment effect, labour effect, and technical effect are effective mediators of the nexus between green trade and green growth. [ABSTRACT FROM AUTHOR]

As a provider of public goods and a corrector of externalities, the government has a significant effect on the local environment. Based on annual province-level data from 1998 to 2015, this paper decomposes the changes in sulfur dioxide emissions into end pollution control effects and source pollution control effects by a complete decomposition model. It then uses a spatial econometric model to investigate how government size expansion affects sulfur dioxide emissions. The results show that under the promotion system based on appointment, the local government size and the neighboring government size are not conducive to reducing local sulfur dioxide emissions. With the expansion of the government size, the degree of environmental degradation caused by competition among governments is more serious. In the way of influence, the impact of local government size on the sulfur dioxide emissions is mainly through restraining the effect of end pollution control. The impact of neighboring government size on the sulfur dioxide emissions is mainly through weakening the effect of source pollution control. [ABSTRACT FROM AUTHOR]

Employing Chinese customs data and the Peking University Digital Financial Inclusion Index of China, this paper studies the impact of China's digital finance development on the upgrading of export at the city level and further explores the heterogeneity across cities and the mechanisms through which digital finance influences export upgrading. Benchmark results suggest that digital inclusive finance can significantly promote the upgrading of export. The heterogeneity analysis shows that cities with a smaller size, lower wage, higher human capital level, and better location advantage experience greater facilitating effects of digital inclusive finance on promoting export upgrading. It suggests that, compared with 'icing on the cake', the digital inclusive finance plays a better role in 'offering fuel in snowy weather', whereas full exertion of the inclusiveness of digital finance requires higher human capital and location advantage. Further mechanism analysis shows that innovation effect and market effect are the main channels where digital inclusive finance promotes the upgrading of a city's export. [ABSTRACT FROM AUTHOR]

This paper uses data from all the listed high-tech enterprises in China, from 2013 to 2018, as the samples employed to study the impact of government subsidies on the innovation of high-tech enterprises, as well as the subsidy mechanism. The mechanism is analysed mainly from the perspectives of resource effect and signal transmission effect. In the theoretical analysis, from the perspective of resource effect, the capital guiding role of government subsidies is considered. In addition, this study creatively discusses the impact of rent-seeking behaviour in combination with China's anti-corruption practice. From the perspective of signal transmission, government subsidies are no longer only interpreted as positive signals of the government being in favour of enterprise financing. This study further believes that government subsidies transmit a signal to the public, encouraging them to strengthen their supervision of subsidised enterprises. A multiple regression model and mediating effect model indicate that government subsidies achieve the purpose of stimulating enterprise innovation. The stimulating effect of government subsidies through financing constraints and signal transmission is 9.48% and 10.16%, respectively. These results are consistent with the positive externality theory and the signal transmission theory. At the end of the paper, several relevant suggestions are presented, according to the current developments. [ABSTRACT FROM AUTHOR]

Growth in China's economy is driven by the troika: consumption, investment and export. This paper examines the effect of uncertain events such as the global financial crisis in 2008, and the COVID-19 pandemic on the troika. Based on the construction of a new uncertainty index of China's economy, the relationship between uncertainty and growth in the troika is examined by using a TVP-VAR model. Results show that fluctuations in the uncertainty index during the COVID-19 epidemic had the greatest negative impact on consumption and investment at a magnitude of −0.27, notably greater than that during the period of the global financial crisis. The negative impact on export reached −0.73, smaller than that during the global financial crisis. Against a backdrop of the novel coronavirus epidemic, it is also found that expansionary monetary policies can have a relatively large impact on investment and export, reaching 1.75 and 1.57 respectively, while short-term impact on consumption is relatively weak, averaging at 0.51. [ABSTRACT FROM AUTHOR]