New quality productivity is an important component of China's economic development strategy,and high-quality human capital is an important new quality productivity.Generation Z has gradually become the mainstay of the labor market,creating new quality productivity through both factor and collaboration forms.Based on Marx's labor theory of value,a productivity intertemporal model with labor as a variable is constructed.Subsequently,based on relevant theories of economics,sociology,and"three new"economic statistics,a labor"ability willingness"evaluation index system is constructed,and labor related indicator data is extracted from the results of the 2021 China Social Situation Comprehensive Survey(CSS),compare the levels of new qua-lity productivity among different generations of population using a cross generational model of productivity.The results show that in terms of ability dimensions,Generation Z has higher education levels and experiences,participates in more vocational skills trai-ning in professional fields,uses the Internet more frequently for business and work,and has a higher proportion of high-quality human capital in professional and technical work and emerging industries,creating more new productive forces in the form of elements.Through the"Seventh Census"data such as the development practice of educational informatization and the employment situation in the information industry should be provided to confirm.In terms of willingness to participate in new productive forces,Generation Z shows a high enthusiasm for social service participation,but a low level of trust in interpersonal relationships,which may reduce the collaborative productivity of labor.Finally,suggestions are given for Generation Z to create higher quality productivity from both abilities and willingness.

Based on the essence of New Quality Productivity,this study constructs an evaluation indicator system for the level of regional New Quality Productivity in China,focusing on new manufacturing,new services,new business forms,and comprehensive indicators.The study employs the entropy-weighted TOPSIS method and the complete permutation polygon illustration met-hod for measuring and visually presenting the level of regional New Quality Productivity in China.Furthermore,it utilizes Quadratic Assignment Procedure(QAP) analysis and spatial econometric models for structural decomposition and convergence analysis of China's regional New Quality Productivity levels.The results indicate:(1) China's New Quality Productivity is on a general upward trend,presenting a gradient pattern of"Southern Coastal>Eastern Coastal>Northern Coastal>National Average>Middle Yangtze River>Southwest>Middle Yellow River>Northeast>Northwest".(2) Improvements in new manufacturing and new service indicators contribute to the enhancement of New Quality Productivity levels.(3) There exists absoluteβ convergence in China's New Quality Productivity levels across the eight major geographical divisions,with most regions demonstrating accelerated convergence speeds under the influence of certain factors.

As an advanced productive force with the transformation of traditional productive forces,new quality productive forces are the core driving force to promote the digital intelligent transformation and upgrading of the whole chain of key industries,and are also an important material and technological basis for realizing Chinese-style modernization.Taking the panel data of 30 provinces(autonomous regions and municipalities)in China from 2010 to 2022 as research samples,based on theoretical analysis,this paper empirically examines the relationship between new quality productivity and the modernization of Chinese-style industrial chain and its mechanism by constructing a variety of econometric models.It is found that the new quality productivity plays a positive role in promoting the modernization of Chinese industrial chain.The mechanism test results show that the new quality productivity can promote the modernization of Chinese industrial chain by enhancing entrepreneurial activity.Digital transformation plays a positive moderating role in the relationship between new quality productivity and Chinese-style industrial chain modernization.Heterogeneity test results show that in the southern region and small-scale industrial areas,the new quality productivity has a strong positive promoting effect on the modernization of the Chinese industrial chain.

This article takes listed companies from 2011 to 2022 as research samples,and based on the deep logic of digital transformation empowering the improvement of new quality productivity,examines the impact,mechanism,and heterogeneity cha-racteristics of digital transformation on enterprise new quality productivity.Research has found that:(1)digital transformation has a significant positive impact on the development of new quality productivity in enterprises,and the technological and management innovations brought about by digital transformation meet the conditions for the emergence of new quality productivity.(2)The digital transformation of enterprises with different characteristics has heterogeneity in the development of new quality productivity.Compared to other types of enterprises,digital transformation is more conducive to improving the new quality productivity of technology intensive enterprises,eastern enterprises,and state-owned enterprises.This helps enterprises to deeply understand the characteristics of new quality productivity and help them improve it.(3)The mechanism test results show that digital transformation mainly promotes the development of new quality productivity in enterprises through two channels:technological innovation and management innovation.Technological innovation is the underlying support for the development of new quality productivity,while management innovation provides institutional guarantees for technological innovation.

With the in-depth development of the new round of scientific and technological revolution and industrial change,new quality productivity,as a key force to promote high-quality economic and social development,and its level and difference status in each region of China are of great significance to the formulation of scientific regional development strategies.This paper measu-res the level of new quality productivity of 30 provinces(autonomous regions and municipalities)in China from 2012 to 2022 through the entropy weight-TOPSIS method and analyzes its regional differences and its dynamic evolution.It is found that China's new quality productivity level shows an overall upward trend,but the development is unbalanced among regions,with the eastern region significantly higher than other regions.The Gini coefficient decomposition results show that interregional differences are the main reason for the overall imbalance.The article also analyzes the spatial evolution characteristics of the level of new quality productivity using the kernel density estimation method and finds that the differences in productivity levels between regions are narrowing,indicating that China has made positive progress in promoting balanced regional development.To further promote the ba-lanced development of new quality productivity,the article puts forward policy recommendations such as strengthening support for scientific and technological innovation,deepening the reform of institutional mechanisms,implementing differentiated regional development strategies,focusing on talent cultivation,and improving infrastructure construction.

A new wave of technological revolution and industrial transformation is in full swing,and competition among major powers is escalating.Developed economies are intensifying the implementation of industrial policies to promote frontier technologi-cal innovation and the development of future industries,aiming to secure strategic advantages.In the face of a complex international environment and daunting domestic tasks of reform,development,and stability,Xi Jinping creatively proposed the important concept of developing new quality productivity.Promoting the development of new quality productive forces requires constructing new types of production relations that align with them,further advancing systemic,institutional,and mechanistic reforms.This involves both leveraging the decisive role of the market in resource allocation and enhancing the role of the government.The empowerment of new quality productivity by the government and the market is not a simple linear relationship.Systematic research is urgently needed to explore how the dual forces of government and market can synergistically empower the development of new quality productivity.Therefore,this paper elucidates the intrinsic logic of the synergy between effective markets and proactive governments in empowering new quality productivity from three perspectives:theoretical logic,historical logic,and practical logic,and proposes corresponding recommendations.

Based on the perspective of constructing a modern industrial system,this paper systematically sorts out the theoretical basis of the impact and mechanism of digital new productive forces on common prosperity,and conducts empirical analysis using panel data from 30 provinces(autonomous regions and municipalities)in China from 2012 to 2022.Research has shown that digital new productivity can significantly promote common prosperity,and this conclusion still holds true after many endogeneity and robustness tests.Analysis of the mechanism of action reveals that the construction of a modern industrial system is an important intermediary channel for empowering common prosperity with digital new productive forces.Rooted in this,it is proposed to strengt-hen digital empowerment and improve the level of digital new productivity.Promote industrial transformation and accelerate the construction of scientific and technological innovation industrial system.Implement a differentiation strategy and accelerate the narrowing of regional economic disparities.

Promoting the digital transformation of enterprises is crucial for enhancing total factor productivity and fostering new quality productivity.This paper analyzes data from China's A-share listed enterprises between 2012 and 2022 to study the impact,mechanisms,and heterogeneity of digital transformation on enterprise productivity.The study finds that digital transformation significantly enhances the level of enterprises' new quality productivity.Mechanism analysis reveals that digital transformation boosts enterprises' new quality productivity through strengthening human capital,easing financing constraints,and improving innovation quality.Heterogeneity analysis shows that the impact of digital transformation on enterprises' new quality productivity varies depending on the ownership,size,and industry type of the enterprise.The effect of digital transformation on enhancing new quality productivity is more significant in state-owned enterprises,small-scale enterprises,and non-physical enterprises.This study provides empirical evidence and policy implications for steadfastly advancing digital transformation in enterprises and exploring new measures for developing enterprises' new quality productivity.

Artificial intelligence(AI),as an important driving force of the new round of technological change,will inevitably also have a significant impact on green innovation in manufacturing firms while promoting corporate intelligence,automation and informationization.This paper empirically examines the influence and action mechanism of AI application on corporate green innovation with the industrial robots data and firms green patents in China.The research shows that AI application helps to promote manufacturing firms green innovation.The action mechanism shows that cost saving,knowledge spillover,and human capital effect play a partial mediating role between AI application and manufacturing firm green innovation.Further research shows that the promotion effect of AI application on manufacturing firms green innovation is more obvious in the east central region,non-heavily polluted and low financial incentive firm groups.The findings of this paper both enrich the literature on the micro green innovation effects of AI and provide insights into how governments and firms can improve green innovation.

The article selects the annual data of China's A-share listed companies from 2011 to 2022 as the research sample to examine the impact of digital transformation on the level of new quality productivity of enterprises,and explore the mechanism and heterogeneity factors between the two.The empirical findings show that digital transformation can significantly improve the level of new quality productivity of enterprises.The mechanism test shows that digital transformation can promote the increase of new quali-ty productivity of enterprises by alleviating financial constraints,strengthening managerial capabilities,and improving information transparency.The heterogeneity analysis shows that the implementation of digital transformation has a more significant effect on the improvement of new quality productivity in state-owned enterprises,technology-intensive enterprises,and enterprises in regions with weaker digital infrastructure.The conclusion of the article provides a useful reference for formulating relevant policies to promote the digital transformation of enterprises and the construction of new quality productivity.

Corporate governance is the basis for corporate decision-making and action.Studying whether the Carbon Emissions Trading Pilot Policy(CETPP) has corporate governance effects will help clarify the mechanism of CETPP on environmental governance.This paper argues that CETPP has broken the game equilibrium between shareholders and executives,and it is necessary to adjust the executive compensation contract to achieve a new equilibrium.Based on data from listed companies,the paper finds that CETTP has reduced the sensitivity of executive compensation to performance,which is more significant in high carbon industries.The mechanism test results indicate that due to CETTP reducing corporate performance,in order to enhance the internal motivation for green transformation of enterprises,enterprises have made decisions to reduce the sensitivity of executive compensation performance.The paper also finds that pilot enterprises are more likely to adopt equity incentives,and those that reduce the sensitivity of executive compensation performance will have more green innovation and better ESG performance.The paper is a supplement to the literature on the effectiveness of CETTP and can also provide insights on how to stimulate the internal motivation of corporate environmental governance.

The development of Shared Economy is of great significance to the economic growth in backward areas and the promotion of common prosperity.This paper takes 110 cities in the Yangtze River Economic Belt from 2013 to 2022 as research samples,integrates digital economy into the spatial Solow model analysis framework,and explores the impact of digital economy on economic growth convergence.The findings are as follows:(1) the economic growth of cities in the Yangtze River Economic Belt shows an obvious convergence trend on the whole,and the development of digital economy can significantly promote the convergence of economic growth,and this conclusion is still valid after replacing the spatial weight matrix and the explanatory variables.(2) Under the square of inverse distance weight matrix,there is a spatial spillover effect on the convergence of economic growth in the Yangtze River Economic Belt,and the digital economy also has an obvious spatial spillover effect on the promotion of economic growth convergence.(3) From a spatial dimension,the promotional effect of the digital economy on economic growth convergence is most pronounced in the upstream cities of the Yangtze River Economic Belt,followed by the midstream cities,and is least impactful in the downstream cities.(4) From the perspective of time,the convergence speed of the Yangtze River Economic Belt shows a trend of gradual increase during 2013~2022,and the impact of digital economy on the convergence of economic growth has an obvious buffer period,and its promoting effect only appears after 2016.

This article shows that the application of fintech in banks significantly improves the level of green innovation in enterprises,achieving dual growth in quality and quantity;The promoting effect of financial technology is more evident in non manufacturing industries,small and medium-sized enterprises,enterprises with lower levels of earnings manipulation,and those with higher analyst attention.Mechanism analysis shows that financial technology promotes green innovation in enterprises through credit allocation effects and credit supervision effects,that is,financial technology can promote bank liquidity creation and alleviate financing constraints to unleash the potential for green innovation in enterprises.It is also possible to strengthen the efficiency of bank supervision and improve the internal management level of enterprises to enhance their green innovation capabilities.Finally,this article innovatively identifies the peak investment of enterprises through filtering models and finds that fintech should be targeted with digital empowerment based on the dynamics of enterprise investment.During the peak period of corporate investment,the empowerment of financial technology is greater,and the effects of credit allocation and credit supervision are more significant.

New quality productivity are contemporary advanced productive forces nurtured by innovative allocation of production factors,revolutionary breakthroughs in technological factors,and transformation and upgrading of industrial structure.In recent years,China's strategic emerging industries have developed rapidly,fully exerting their engine role in cultivating new quality productivity.This article is based on China's urban panel data from 2010 to 2022,using a bidirectional fixed effects model to conduct in-depth research on how the digital economy promotes the entry of strategic emerging enterprises and thus nurtures new quality productivity.The empirical results indicate that the digital economy can attract strategic emerging enterprises to enter through talent aggregation effects,rational industrial structure empowerment functions,and key digital technology innovation.Further research has found that this impact is more significant in eastern regions,cities that attract more foreign investment,and cities with well-deve-loped infrastructure construction.Finally,the economic consequences test indicates that the digital economy promotes the entry of strategic emerging enterprises while also contributing to the cultivation of new quality productivity.The research conclusion of this article provides inspiration for promoting the development of strategic emerging industries and new quality productivity,thereby contributing to sustained economic growth and innovation.

Energy security has always been a hotspot of global concern,and international trade in energy is huge,with an extremely complex trade network that has a global and long-term impact on the global economy.This paper synthesizes the three major international energy trade products of oil,natural gas and coal,constructs the international energy trade network,and measures and analyzes the resilience of the international energy trade network from both static and dynamic aspects.The research results show that:from the perspective of static resilience,the resilience level of the international coal trade network is higher than that of both oil and natural gas,which indicates that the international coal trade network has less destructive impact when it is hit,and the network structure is better stabilized.The international trade network for natural gas is mainly dependent on a small number of core countries for support and has a low level of network resilience.From the perspective of dynamic resilience,China's transit capacity and diffusion capacity in the global energy trade network have shown a better level,and are almost always in the first or second tier in the performance stratification of energy trade network node resistance to interference.According to the resilience characteristics of the international energy trade network,this paper puts forward the policy suggestions of diversifying of energy import sources,enhancing the bargaining power in the international energy trade,and establishing the China-Central Asia-West Asia Energy Econo-mic Circle to further safeguard China's energy security.

This paper constructs a new quality productivity indicator system is constructed from three aspects:new workers,new means of production,and new labor objects,with a total of 25 sub indicators.The AHP-Entropy Method-Game Theory combined weighting method was used to measure the development level of new quality productivity in 30 provinces(regions,municipali-ties)of China from 2010 to 2022.The Kernel density estimation,Dagum Gini coefficient and decomposition method,Moran's I index,and convergence models were utilized to analyze the evolution patterns and convergence of new quality productivity in China and its three major regions.The research results indicate that the level of new quality productivity in China continues to rise in all regions,especially in the eastern region,which surpasses the national average and the central and western regions.However,in terms of regional differences,the disparity in new quality productivity is widening,primarily due to inter-regional differences.In terms of spatial evolution,there is a significant positive spatial correlation and spatial agglomeration characteristics in the new quality productivity of each region,but the agglomeration effect is weakening year by year.Regarding convergence,there is no apparent σ convergence in new quality productivity at the national and regional levels,but there is β convergence,with the western region exhibiting the fastest convergence rate.

Existing research on the breakthroughs of key technological has yet to comprehensively reveal how executive teams lead enterprises to achieve challenging technological innovation goals.This paper applies the theory of dynamic managerial capabi-lity,proposing that dynamic managerial capability,encompassing executive team managerial cognition,human capital,and social capital,is a crucial factor influencing key technological breakthroughs.Building on this,a theoretical model is constructed to investigate and examine the intermediary role of cross-boundary integrated innovation.The study concludes that top executives'dynamic management capabilities significantly advance key technological breakthroughs,with cross-boundary integrated innovation playing an intermediary role.We systematically deconstruct the mechanism through which executives contribute to key technological breakthroughs,deepening the theoretical understanding of the interrelated mechanisms among influencing factors in key technolo-gical breakthroughs.Additionally,our paper innovates the research methodology providing a feasible solution for future related studies.The practical significance lies in guiding enterprises to prioritize the development of management teams with dynamic managerial capability along the progress of technological innovation breakthroughs.

As the foremost emitter of carbon,China faces an imperative to expeditiously achieve its carbon peak goal by bolstering carbon efficiency in the background of climate change.Low-carbon energy technology innovation(LCETI),recognized as a pivotal strategy in addressing climate change,harbors substantial potential for emission reduction and efficiency enhancement.Therefore,this study investigates the relationship between LCETI and carbon efficiency in China with the spatial Durbin model,including spatial spillover,moderating,and heterogeneity effects based on data from 286 cities between 2006 and 2022.The main conclusions show that LCETI can both directly increase carbon efficiency in local areas and indirectly accelerate carbon efficiency in surrounding areas.Besides,the promotion of industrial structure optimization,environmental regulation,and technological support has a positive moderating effect of LCETI on carbon efficiency.Moreover,LCETI in western China has significant effects on the carbon efficiency of the local and surrounding areas.Finally,the innovation of nuclear energy and hydropower technology has the most significant effect in local areas.In contrast,the innovation of geothermal and biomass energy technology has the most significant effect in the surrounding areas.The results of this study help the government and scholars to scientifically utilize low-carbon energy technologies to enhance the collaborative carbon reduction capacity of Chinese society.

The application of artificial intelligence(AI)is crucial for high-quality development and effective risk management in businesses.This study focuses on companies listed on China's A-share market from 2007 to 2022,exploring how the perception of climate risks influences corporate AI innovation and the mechanisms behind this effect.Findings indicate that perception of climate risks has a significant role in promoting corporate AI innovation.The study shows that this perception alleviates financing constraints and reduces levels of financialization,thereby boosting AI innovation.Further analysis reveals that strengthening organizational resilience amplifies the positive impact of climate risk perception on AI innovation,whereas intense media scrutiny tends to dampen this effect.The heterogeneity analysis presents that the positive influence of climate risk perception on AI innovation is more pronounced in state-owned and non-high-tech enterprises.This research provides empirical insights into corporate climate risk management,filling a research gap in AI innovation and advancing the development of mitigation strategies.

This paper analyzes and empirically tests whether and how supply chain finance can affect the operational performance of enterprises from the perspectives of enterprise specialization division of labor and total factor productivity by selecting the sample data of listed enterprises in China's capital-intensive industries from 2014 to 2022.The results show that supply chain finance(SCF)can significantly improve the operational performance of enterprises,and that promoting the specialized division of labor and enhancing total factor productivity are two important ways for supply chain finance to help improve the operational performance of enterprises.This paper not only provides a new explanation for the influencing factors of the operational performance of enterprises from the perspective of supply chain finance,but also reveals the mechanisms and ways in which supply chain finance contributes to the improvement of the operational performance of enterprises.

This paper empirically examines the impact of institutional investors'site visits on environmental investment using A-share listed companies in heavily polluting industries in China from 2013 to 2022 as the research subjects.The study finds that the on-site activities by institutional investors significantly increased the level of environmental investments in enterprises.Mechanism testing shows that institutional investors'site visits had a positive impact on environmental investments in enterprises by reducing agency costs,alleviating financing constraints,and increasing analyst attention.Heterogeneity analysis revealed that the promoting effect of institutional investors'site visits on environmental investment was more significant for enterprises located in areas with lower degrees of marketization and state-owned enterprises.The multidimensional research conclusions provide empirical evidence that institutional investors can actively participate in environmental governance through site visits activities,which has important practical value for improving the management of investor relations of listed companies and strengthening environmental governance.

Implementing servitization is an important means for manufacturing enterprises to form differentiation advantages.The industrial Internet platform is of great significance in promoting the servicization of manufacturing enterprises.However,there is a lack of discussion on the mechanism of industrial Internet platform empowerment on the performance of manufacturing enterprise servitization in the current academic circles.In order to better reveal the mechanism of how the industrial Internet platform influe-nces the performance of manufacturing enterprise servitization,this study constructs a logical framework from the empowerment of the industrial Internet platform to value co-creation,and then to the service performance of manufacturing enterprises based on Service-Dominant Logic.By using survey data from 383 manufacturing enterprises,regression analysis and mediation effect tests reveal that the empowerment of the industrial Internet platform significantly improves the service performance of manufacturing enterprises.The two dimensions of value co-creation,namely interactive cooperation and resource integration,play a partial mediating role in the positive impact of the empowerment of the industrial Internet platform on the service performance of manufacturing enterprises.This study provides important insights for promoting the construction of industrial Internet platforms and the long-term develo-pment of manufacturing enterprises.

With the rapid development of the digital economy,the platform economy has gradually grown into an economic model with significant influence,and its characteristics have given new momentum to the growth of the real economy.This paper adopts Chinese provincial panel data for the period of 2012~2022 to investigate whether the platform economy can promote the deve-lopment of the real economy.In the benchmark regression,the relationship between the platform economy and the real economy is explored by using the two-way fixed-effect panel model,and the estimation results pass the robustness test from multiple perspectives.Subsequently,in the analysis of moderating effects,this study finds that the growth of industrial structure,digital inclusive finance and fiscal freedom can strengthen the positive impact of the platform economy on the development of the real economy,and the above factors play an important role in promoting the integrated development of the platform economy and the real economy.The research in this paper provides empirical evidence for understanding the current relationship between platform economy and real economy.

The new quality productivity is the innovative development and creative transformation of Marx's productivity theory,the "leap" of productivity in line with the construction of modern industrial system in the new era,and the "first chess pla-yer" to accelerate the modernization of Chinese industrial chain.Based on the panel data of 30 provinces in China from 2013 to 2023,this paper analyzes the relationship between new quality productivity,national unified large market and Chinese-style industrial chain modernization.It is found that the new quality productivity can promote the modernization of the Chinese-style industrial chain,and the national unified large market plays a positive regulating role in it.Heterogeneity results show that the effect of new quality productivity on the modernization of Chinese industrial chain is more obvious in high innovation level regions.The expansion test finds that the new quality productivity can produce a positive spatial spillover effect,and play a driving role in the modernization of the Chinese industrial chain in the surrounding areas.Therefore,we should actively promote the construction of a national unified large market,accelerate the cultivation of new quality productivity,and accumulate energy for accelerating the modernization of the Chinese industrial chain.

Taking the data of listed companies in China from 2011 to 2022 as a sample,this paper empirically investigates the impact of digital transformation on the new quality productivity of corporations.The results show that digital transformation has a significant contribution to the improvement of the level of new quality productivity of corporations.The positive effect remains significant after a series of robustness tests.The results of heterogeneity analysis show that digital transformation has a more significant effect on promoting the new quality productivity level of state-owned corporations and high-tech corporations.The findings provide empirical evidence that enriches the research on the influencing factors of new-quality productivity and the economic consequences of digital transformation,and provides suggestions from the perspective of government and corporations,which are of some practical significance.

As a kind of green productivity,new quality productivity is an important factor to achieve the goal of carbon peak carbon neutrality.Based on the panel data of 30 provinces,regions and municipalities in China from 2013 to 2022,this paper constructs an econometric model to investigate the impact of new quality productivity on carbon welfare performance and its mechanism.It is found that the new quality productivity can effectively improve the carbon welfare performance,and this effect is more significant in the eastern region and the region with good institutional environment.The impact mechanism test shows that the new quality productivity can indirectly realize the increase of carbon welfare performance by promoting the upgrading of industrial structure and improving the efficiency of resource utilization.The moderating effect test shows that disruptive technological innovation positively moderates the impact of new quality productivity on carbon welfare performance.Therefore,it is necessary to speed up the cultivation of new quality productivity to provide logical support for the construction of a new pattern of green development and the acceleration of Chinese path to modernization.

The circulation industry plays a leading role in promoting coordinated development between urban and rural areas.Under the background of the digital economy,the intelligentization of the circulation industry is helpful to expand the consumption boundary in rural areas and promote the integration of urban and rural consumption networks.Based on panel data from 31 provinces,regions and cities from 2007 to 2022,this study explores the spatiotemporal characteristics and impact effects of the development of intelligentization in the circulation industry on the consumption gap between urban and rural residents.The study finds that there is a regional unbalanced development feature between the consumption gap of urban and rural residents and the level of intelligentization in the circulation industry.The development of intelligentization in the circulation industry effectively alleviates the consumption gap between urban and rural residents,and has the strongest effect of inhibition in the western regions.After the implementation of the"Broadband China"policy,the effect of this impact has significantly increased.Mechanism analysis shows that the development of intelligentization in the circulation industry can alleviate the consumption gap between urban and rural residents by promoting the development of e-commerce,promoting industrial restructuring and narrowing the income gap between urban and rural residents.Therefore,accelerating the speed of transformation towards intelligentization in the circulation industry,promoting the construction of digital infrastructure,and implementing a regional coordinated development strategy can help to alleviate the consumption gap between urban and rural residents.

The resolution of the Third Plenary Session of the Twentieth Central Committee of the Communist Party of China clearly points out that we should improve the system and mechanism for developing new-quality productivity in light of local conditions.This is of great significance for promoting Chinese-style modernization.General Secretary Xi Jinping creatively put forward the idea of "developing new-quality productivity in light of local conditions".This is a major theoretical and practical innovation,which will inject new impetus into China's high-quality development.To further study and implement the spirit of the Third Plenary Session of the 20th CPC Central Committee,accelerate the formation of production relations that are more compatible with the new-quality productivity,improve the system and mechanism for developing new-quality productivity in light of local conditions,improve the development policy and governance system of strategic industries,establish a mechanism for the growth of future industrial investment,improve the policy system for promoting the development of digital economy and intelligent economy,and promote the gathering of patient capital and all kinds of advanced production factors to the development of new-quality productivity,this magazine sincerely invites articles on the title Improve System and Mechanism of Developng New Quality Productivity in Light of Local Conditions and Promote Chinese-style Modernization from famous domestic experts and scholars for the sake of our readers.

The report of the 19th National Congress of the Communist Party of China proposed to"build a Market-Oriented Green Technology Innovation System".Based on the regional market segmentation index calculated by the relative price method and the green technology innovation index of listed manufacturing companies from 2004 to 2022,this paper establishes a fixed effect model to analyze the impact of regional market segmentation on enterprise green technology innovation.The results indicate that regional market segmentation significantly inhibits green technology innovation in enterprises,and the inhibition process has a certain degree of sustainability.Further analysis reveals that the segmentation of capital goods and labor markets has equally significant inhibitory effects on green technology innovation in enterprises;Market segmentation suppresses green technology innovation through environmental regulations,allocation of innovation resources,and digital inclusive finance effects;Green technology innovation is more significantly inhibited in some enterprises,including:State-owned enterprises,enterprises located in eastern and western regions,low marketization level regions,and low concentration industries,as well as enterprises at low levels of financing constraints and low levels of digital transformation.

Trust is a key factor in the development of the Sharing economy.Affective-based trust,as an important part of it,affects consumer's purchase intention through online reviews.This study explores the impact mechanism of affective-based trust among consumers in the sharing accommodation,focusing on two dimensions:overall rating and detailed rating from online reviews.Empirical analysis is conducted using Airbnb listing data from Beijing,China,and New York,USA,spanning from 2015 to 2022.The results show that overall ratings and detailed reviews containing negative emotions are more likely to attract consumers;when the two types of ratings are consistent with high ratings,consumers' purchase intention decreases significantly.In addition,the "Superhost" badge and the entire rental listing can actively moderate the relationship between the consistency of the two types of ra-tings and consumers' purchase intention.Chinese housing has a negative moderating effect on this relationship.Therefore,during the transaction process,consumers can pay more attention to review information containing negative reviews,and consider entire rental listing with the "Superhost".

The development of new productive forces is an intrinsic requirement and an important focus point for promoting the optimization of industrial structure.There is an internal logic between the new quality productivity and industrial structure,which can inject innovative vitality into the optimization and adjustment of industrial structure with new elements.The purpose of this paper is to analyze the connotation and characteristics of the new quality productivity,explore the theoretical logic of the new quality productivity in promoting the optimization and upgrading of the industrial structure of Inner Mongolia,combine with the current problems of the industrial structure of Inner Mongolia,and put forward the path of the new quality productivity to promote the transformation and upgrading of the industrial structure of Inner Mongolia,in order to provide theoretical and practical guidance for the high-quality development of the economy of Inner Mongolia.

Manufacturing intermediate goods play a powerful role in stabilizing and fixing industry chain and stands as the mainstay in establishing the dual-circulation development pattern.Based on the input-output model,this paper constructs a framework for decomposing the dual circulation of intermediate products input and usage,measures the foreign-related circulation of China's manufacturing intermediate products,and makes an international comparison.The research finds that the scale and growth rate of foreign-related circulation on intermediate products in China's manufacturing industry are ahead of the United States,Japan,and Germany,but the proportion is smaller than that of the United States,Japan,and Germany.Judging from the degree of foreign-related circulation,the higher the level of technology,the larger is the scale and proportion of foreign-related circulation involving intermediate products,with medium and high-tech manufacturing sectors showing a strong dependency on international markets for intermediate inputs.On the demand side,China's manufacturing industry is mainly involved in foreign transactions at the final goods stage,whereas the United States,Japan,and Germany primarily engage in foreign trade at the intermediate goods stage.Moreover,the dependency of China's overall and medium to high-tech manufacturing sectors on foreign-related production networks is lower than that of the US,Japan,and Germany,while reliance on foreign final demand markets is higher than that of the US but lower than Japan and Germany.This paper expands the dual circulation decomposition model,providing a useful reference for exploring the evolution of China's manufacturing intermediate products foreign-related circulation,and expanding manufacturing intermediate products trade.

The Resource Tax Law was formally implemented in 2020.It serves as an important component of China's green tax system curing the reform achievement of ad valorem taxation into a legal system,opening a new chapter of China's economic green development,so it is necessary to analyse the effect of the implementation of the Resource Tax Law.Based on the panel data of listed resource-based enterprises in China from 2013 to 2022,a double-difference model is used to empirically analyse the impact and mechanism of the implementation of the Resource Tax Law on the green technological innovation of resource-based enterprises.The results of the study show that the implementation of the Resource Tax Law significantly promotes the green technology innovation of resource-based enterprises.The mechanism test suggests that the implementation of the Resource Tax Law helps to increase the R&D investment of resource-based enterprises,which in turn provides incentives for the green technology innovation of resource-based enterprises.Through the heterogeneity analysis,it is found that the implementation of the Resource Tax Law has a more obvious incentive effect on green technological innovation of resource-based enterprises in the central and eastern regions and state-owned resource-based enterprises,and that the implementation of the Resource Tax Law has a greater marginal contribution to the green invention patents of resource-based enterprises compared to green utility model patents.In the future,the Resource Tax Law can be improved in terms of increasing incentive policies to promote enterprises' green technological innovation inputs,promoting the coordination of resource tax and fiscal tax policies,and implementing differentiated tax preferences.

Improving the ESG performance of heavy polluting enterprises is an important source to realize the green and high-quality development of Chinese enterprises.In essence, ESG can effectively measure the degree of green transformation of enterprises. Green tax reform will reduce the cost of enterprises and promote the green transformation of heavily polluting enterprises.Based on the data of Shanghai and Shenzhen A-share listed companies from 2015 to 2022,this paper finds that green tax reform can improve the ESG performance of heavily polluting enterprises by reducing the tax burden,equity capital cost and debt financing cost of enterprises.Further analysis shows that the promotion effect of green tax reform on ESG of heavily polluting enterprises is more prominent in enterprises with high financing constraints,non-state-owned enterprises and enterprises with good regional legal environment.Green tax reform can improve the performance of enterprises by improving the level of ESG,and reduce the risk of short-term debt and bankruptcy.These results show that the green tax reform can effectively reduce the cost of enterprises and promote the green and high-quality development of heavy polluting enterprises.This paper expands the relevant research on the policy effect of green tax reform,and provides a useful reference for the green transformation of heavy polluting enterprises from the perspective of enterprise cost.

The paper constructs an index system of Chinese-style modernization from the four dimensions of economic mo-dernization,social civilization modernization,science and technology and governance capacity modernization,and ecological civilization modernization.Using the panel data of 31 provinces(autonomous regions and municipalities) in China from 2012 to 2022,the development level of modernization is calculated by entropy weight method and its time series evolution characteristics are explored.The coupling and coordination analysis of the four sub-dimensions is carried out to explore the dynamic evolution process of the coordinated development degree of the four subsystems.Finally,the influencing factors of Chinese-style modernization are explored through spatial econometric analysis.The study finds that the overall level of coordinated development of China's modernization subsystem is low,but the degree of coordinated development is gradually rising;china's modernization level shows a fluctuating upward trend,forming a pattern of"high in the east and low in the west".There is a relatively obvious spatial aggregation pheno-menon in the overall modernization level.Good economic development level,economic inclusiveness,government regulation ability and population growth,reasonable industrial structure and resource efficiency can promote the level of modernization.

In order to further improve logistics efficiency and fully leverage the promoting role of logistics industry cluster development,this study takes the logistics industry in the Yangtze River Delta region from 2014 to 2023 as the research object,and empirically analyzes the impact of regional logistics industry cluster development on logistics efficiency.Among them,logistics efficiency is selected as the dependent variable,the development level of logistics industry clusters is chosen as the independent variable,and infrastructure construction level,capital investment level,economic level,opening-up level,and industry scale were selected as control variables.By establishing a spatial Durbin model for regression analysis and spill over effect analysis,the impact of regional logistics industry cluster development on logistics efficiency is verified.The empirical results indicate that the development of regional logistics industry clusters has a significant promoting effect on logistics efficiency.The higher the level of development of regional logistics industry clusters,the higher the logistics efficiency;the development of regional logistics industry clusters has a significant promoting effect on both local regional logistics efficiency and neighboring regional logistics efficiency;the econo-mic level and scale of the logistics industry promote the improvement of logistics efficiency,while capital investment suppresses the improvement of logistics efficiency.The level of infrastructure construction and opening up to the outside world do not significantly affect logistics efficiency.On this basis,in order to improve logistics efficiency,it is proposed to build a logistics industry demonstration park to promote the development of logistics industry clusters;enriching consumer formats and improving regional economic levels;expand the scale of the logistics industry and improve the logistics industry system;suggestions and countermeasures for accelerating the transformation and upgrading of the logistics industry and promoting green and low-carbon development of the logistics industry.

The low-carbon transformation of the power industry is not only related to the achievement of the carbon peak and carbon neutral goal of the industry,but also affects the realization of the carbon peak and carbon neutral goal of the whole society,which has very important practical significance for promoting the low-carbon transformation of the whole society.This paper uses provincial panel data to empirically test the effect of carbon emission regulation on low-carbon transformation of power industry.The study finds that carbon emission regulation promotes the low-carbon transformation of the power industry and passes the robustness test.Influenced by the degree of fiscal decentralization and marketization,carbon emission regulation has a threshold effect on the low-carbon transformation of the power industry.With the increase of fiscal decentralization,carbon emission regulation has a marginal decreasing effect on the low-carbon transformation of the power industry.With the improvement of the degree of marketization,the effect of carbon emission regulation on the low-carbon transformation of the power industry shows a marginal increasing trend.This study provides empirical evidence and policy implications for accelerating the low-carbon transformation of the power industry under the constraints of the "dual carbon target".

With a new round of scientific and technological revolution,the impact of industrial intelligent development on the income gap between urban and rural areas has become more and more significant,and how to deal with this challenge to achieve common prosperity is a very important issue.From the perspective of capital bias and skill bias of industrial intelligence,this paper demonstrates the expansion effect of industrial intelligence on the urban-rural income gap,and theoretically explores the way to reduce the impact of industrial intelligence on urban-rural income gap.Empirically,the fixed-effect model of D-K standard error is used to show that industrial intelligence significantly expands the urban-rural income gap at this stage,and the mechanism analysis verifies that industrial intelligence mainly affects the urban-rural income gap through functional income distribution effect and large-scale income distribution effect.The analysis of the moderating effect proves that optimizing the industrial structure and narrowing the gap between urban and rural human capital can alleviate the impact of industrial intelligence on the urban-rural income gap.

The important key to achieve the strategic goal of carbon peak is improving the energy use efficiency.This paper divides the Energy use efficiency into the single factor energy efficiency and the green total factor energy efficiency,and then applies the difference-in-difference(DID),continuous difference-in-difference(DID)and a series of tests to investigate the effect and the mechanism of carbon emission trading policy on the energy use efficiency of the pilot cities,which are based on the research samples of 284 prefecture-level cities in China from 2004 to 2022.The results show that carbon emission trading policy can significantly increase the single-factor energy efficiency and the total-factor energy efficiency of the pilot cities,and the effects become more evident in recent years.The mechanism analysis shows that the increase in carbon price can contribute to the improvement of the single-factor energy efficiency and the total-factor energy efficiency of the pilot cities;carbon emission trading policy increases the single-factor energy efficiency and the total-factor energy efficiency of the pilot cities through improving the correction of energy resource misallocation,while the mediation effect of green technological innovation displays as negative.Carbon emission trading policy has a positive effect on improving the single-factor energy efficiency and the total-factor energy efficiency of the non-resource-based cities and the non-old industrial base cities.This paper suggests the policy implications for integrating the construction of carbon emission trading market based on the perspective of the growth of city energy use efficiency.

Promoting inclusive green growth is an important way to solve the main contradiction in China.Based on the data of prefecture-level cities in China from 2010 to 2022,this paper calculates the inclusive green growth level of 289 prefecture-level cities from multiple dimensions by using entropy weight TOPSIS method,and explores the influence and transmission mechanism of network infrastructure construction on inclusive green growth by using multi-period double difference model.The results show that:(1)the construction of network infrastructure can effectively promote the level of inclusive green growth;(2)The effect of network infrastructure construction on inclusive green growth of non-resource-based cities is significantly higher than that of resource-based cities;(3)Network infrastructure construction can further enhance the level of inclusive green growth by improving the level of manufacturing agglomeration,promoting the upgrading of industrial structure and encouraging technological innovation.On the basis of further improving the existing analytical framework of inclusive green growth,this paper provides policy enlightenment for the government to promote the implementation of "Broadband China" strategy,narrow the regional development gap and promote high-quality economic development.