As an important path to promote common prosperity, the inclusive development of digital technology has significantly optimized the income distribution pattern by empowering the three distribution mechanisms. Based on the Inclusive Green Development Follow-up Survey (IGDS) data in the first quarter of 2024, this paper systematically examines the impact of digital technology on primary, secondary, and tertiary distribution. The findings are as follows. At the primary distribution level, digital skills have significantly improved workers′ income levels by reconstructing the labor market, with the income growth effect being particularly prominent among groups with high digital skills. However, skill stratification has exacerbated the income gap. At the secondary distribution level, the transformation of government governance driven by digital technology has effectively improved the fairness and efficiency of the secondary distribution policies through intelligent tax supervision, precise social security, and digital public services. At the tertiary distribution level, digital technology has increased charitable donations by reducing participation costs, enhancing information transparency, and broadening donation channels, initially shaping a collaborative mechanism between marketization and socialization. Nevertheless, the digital divide persists, manifested as the structural disadvantages of rural and low-skilled groups in terms of access to, use of, and benefit from technology. Based on this, it is proposed a four-dimensional policy system of “digital skills training-balanced infrastructure-digital and intelligent taxation-charity transparency” to consolidate the institutional foundation of common prosperity through the inclusive development of digital technology.

Employment is the foundation of people′s livelihood and economic development. To achieve fuller and higher-quality employment is a necessary requirement for making solid progress in promoting common prosperity in China. The digital economy, as an important driving force to advance Chinese modernization, contributes to high-quality employment in multiple dimensions, including the employment structure, employment boundary, employment quality, and regional equilibrium. However, it has also triggered a series of social problems, such as the supply and demand mismatch in the labor market, structural employment contradictions, industry involution, and algorithmic hegemony. Therefore, exploring the impact of digital economy on China′s employment holds profound significance for achieving higher-quality employment and promoting common prosperity. As China′s economy moves towards a new stage of high-quality development, it should involve strengthening support for digital employment, optimizing the employment environment, improving employment-first policies, and standardizing labor management systems in platform-based enterprises during the process of promoting digital industrialization and industrial digitalization. With the fundamental goal of narrowing the gap between the rich and the poor and achieving common prosperity, it is crucial to develop a more inclusive digital economy and transform limited human capital into a new driver of high-quality economic development. Only in this way can China build resilient industrial and supply chains, fully energize its super-large market, and lay a solid foundation for inclusive economic growth and high-quality employment under the New Development Pattern.

In recent years, China′s digital economy has developed rapidly, and digital technologies such as artificial intelligence and big data have also shown accelerated growth, which has become an important force in improving urban carbon productivity. This paper selects panel data from prefecture-level cities in China from 2010 to 2022 for empirical testing and employs a two-way fixed effects model for benchmark regression analysis. Then, this paper conducts robustness tests by replacing the dependent variable and changing the sample size, performs heterogeneity tests across different regions, and carries out transmission mechanism tests by enhancing green technology innovation capabilities and promoting industrial structure upgrading. The research results indicate that the digital economy promotes urban carbon productivity by enhancing green technology innovation capabilities and promoting industrial structure upgrading. Based on these findings, this paper proposes countermeasures and suggestions, such as breaking through digital technology barriers, enhancing innovation capabilities, narrowing the digital divide between different regions, promoting regional coordinated development, optimizing industrial and energy structures to improve carbon productivity, and fully leveraging the role of green technology innovation in boosting carbon productivity.

In the face of increasingly complex economic situation in the world, the integration of business development with digital technology application has accelerated enterprise digital transformation, making it a key strategy for enterprise adaptation. Against the backdrop of shrinking foreign trade demand, the impact of enterprise digital transformation on export resilience has received growing attention from both academia and industry. Using data from the CSMAR database and annual reports of listed companies, this paper takes the 2020 public health crisis as an exogenous shock and applies a Difference-in-Differences (DID) approach to examine how enterprise digital transformation affects export resilience and its underlying mechanisms. The baseline results show that digitally transformed enterprises exhibit stronger export resilience after the shock, demonstrating the positive role of digital transformation in enhancing export resilience. The findings remain robust and highly credible across multiple tests. Mechanism analysis reveals that the current ratio plays a positive mediating role in the effect of digital transformation on export resilience, implying that digital transformation strengthens export resilience under external shocks by enhancing financial liquidity. Furthermore, digital transformation can significantly alleviate insufficient innovation investment, thereby improving export resilience. Heterogeneity analysis shows that the positive effect of digital transformation on export resilience is more pronounced in state-owned enterprises and enterprises in the eastern region of China. This paper aims to enrich the current academic findings on the effect of digital transformation and provide empirical evidence for enterprises developing digital transformation strategies.

The relationship between the digital economy and residents′ cultural consumption involves not only micro-level issues closely related to residents′ daily lives but also macro-level issues concerning the formulation of cultural consumption policies in China. By combining macro and micro data, this paper constructs an evaluation index system for China′s digital economic development from three aspects: digital infrastructure, digital application, and digital innovation. It calculates the comprehensive index of digital economic development for 30 provincial-level regions in China (excluding Hong Kong, Macao, Taiwan, and Xizang) from 2011 to 2021 and empirically examines the impact of digital economic development on households′ cultural consumption level and its mechanism. This paper finds that the digital economy significantly enhances households′ cultural consumption level, with significant heterogeneity among households at different life cycle stages, with different income levels, and in different regions. Specifically, the digital economy exerts the most significant positive effect on cultural consumption in households with a household head aged 60 and above, followed by those with a household head aged 30 to 39; it most significantly boosts cultural consumption in upper-middle-income households, with high-income households ranking second; and the promoting effect of the digital economy on the central and western regions is greater than that on the eastern region. The results of the mediation effect test show that the digital economy elevates households′ cultural consumption level by increasing per capita net income on the demand side and facilitating industrial structure upgrading on the supply side. Therefore, it is necessary to actively encourage the innovative development of the digital cultural industry, enrich the supply of digital cultural products to meet the cultural consumption needs of different groups, and at the same time cultivate and expand new forms of digital cultural consumption, expand cultural consumption scenarios, and release the potential of digital cultural consumption.

The miniaturization of smart factories is an important path for small and medium-sized enterprises to achieve intelligent manufacturing. Using a literature review method, this paper systematically retrieves related literature on micro smart factories from databases such as CNKI, Web of Science, and Scopus. Combining studies on micro factories and smart factories, this paper defines a micro smart factory and analyzes the constituent elements of a micro smart factory from three aspects: conceptual subjects, technical foundations, and development goals. It is believed that micro smart factories have characteristics of subject specificity, technical similarity, subject applicability, and functional fundamentality compared to traditional smart factories. This paper also clarifies conceptual differences among micro factories, smart factories, intelligent manufacturing, and micro smart factories. Additionally, based on application scenarios of micro smart factories, it constructs a research framework following the logic of “influencing factors-development barriers-implementation paths-goals and outcomes”. This paper finds that influencing factors of micro smart factories involve three aspects: technological, organizational, and environmental levels. Development barriers include financial, technological, talent, and management obstacles. Building micro smart factories requires solving issues in five areas: finance, technology, talent, cognition, and management support. The goals and outcomes of micro smart factories differ at both micro and macro levels. Finally, this paper proposes future development directions for micro smart factories from four dimensions: construction and practice, theoretical framework, benefits and governance, and growth changes and boundary effects, providing references for theoretical research on micro smart factories and the future development of intelligent manufacturing in China.

With the rapid development of the market economy, mergers and acquisitions (M&As) and restructuring have become the main commercial activities in the securities market. To explore the impact and mechanism of M&A and restructuring inquiry letters on corporate ESG performance, based on the theoretical analysis, all A-share listed companies that underwent M&As and restructuring from 2015 to 2021 are selected as the research objects, and regression tests are conducted under strict control of time and individual fixed effects, further expansion analysis is conducted on the economic consequences and characteristics related to M&A and restructuring inquiry letters, and the heterogeneity of the impact of M&A and restructuring inquiry letters on corporate ESG performance under different levels of financing pressure is explored. Research has found that M&A and restructuring inquiry letters can significantly improve the ESG performance of the surveyed companies through a dual path of increasing analyst attention and alleviating information asymmetry issues. Further analysis reveals that the impact of receiving letters on a company's ESG rating is short-term, with an improvement in the quality of ESG information disclosure after receiving letters, and the mechanism of action is similar to that of ESG performance. At the same time, changes in the effectiveness of M&A and restructuring inquiry letters are revealed, and it is found that their impact on ESG performance significantly decreases after 2019. Heterogeneity analysis shows that this promoting effect is more significant in non-state-owned enterprises and enterprises with higher levels of financing constraints. This paper verifies the optimization effect of M&A and restructuring inquiry letters on corporate ESG performance, there is heterogeneity in the regulatory effects on companies under different financing pressures, indicating that the ability of companies to withstand potential risks in their financing activities weakens the promotion effect of M&A and restructuring inquiry letters on ESG performance.

Urban transportation is one of the key sectors contributing to urban carbon emissions. Investigating efficient carbon reduction paths is of significant importance for promoting the high-quality development and green, low-carbon transformation of the transportation sector. Beijing, a city with a dense population and frequent economic activities, has considerable energy consumption and carbon emissions in its transportation sector. The Chinese government has pledged to peak carbon emissions by 2030 and achieve carbon neutrality by 2060. Therefore, studying the relationship between transportation carbon emissions and economic growth in Beijing, as well as exploring effective carbon reduction measures, is crucial for achieving these goals. This paper takes Beijing as a case study and employs a “top-down” approach to calculate the annual carbon dioxide emissions from its transportation sector. It analyzes the decoupling status between transportation carbon emissions and economic growth and constructs a system dynamics model for urban transportation carbon emissions. The model considers multiple subsystems, including the population and economy subsystem, the transportation subsystem, the energy and carbon emissions subsystem, and the private car cost subsystem. By simulating and forecasting the trends in carbon dioxide emissions from urban transportation in Beijing, the study investigates the changes in emissions under various carbon reduction strategies. The study calculates and analyzes the carbon emissions from Beijing's transportation sector, revealing an increasing trend in recent years. It also shows that the decoupling status between transportation carbon emissions and economic growth is characterized by either an expanding or weak decoupling, failing to achieve the ideal state of strong decoupling. Based on this, the study develops a system dynamics model for urban transportation carbon emissions and simulates the emission trend variations under different scenarios. The results indicate that adjusting the vehicle energy structure, controlling private transportation demand, and improving energy efficiency are effective measures for reducing transportation carbon emissions. Promoting new energy vehicles, implementing stringent traffic restriction policies, and enhancing energy-saving technologies can significantly reduce transportation carbon emissions. This paper not only examines the ecological benefits of implementing carbon reduction measures from a policy perspective but also assesses their economic benefits, thereby enriching the evaluation framework of transportation carbon reduction policies. Furthermore, the study considers the cost changes for consumers resulting from policy implementation, comprehensively evaluating the implementation effects and guiding role of the policy from both the ecological and economic benefits. The findings offer valuable guidance for government departments in selecting efficient and rational carbon reduction policies, which will help promote high-quality economic development and high-level protection of the ecological environment. Additionally, the research provides insights for low-carbon transportation development in other regions and holds significant theoretical and practical values for achieving the green and low-carbon transformation of the transportation sector.

New forms of consumption can not only meet the people's ever-growing needs for a better life but also hold an important strategic significance for expanding domestic demand, improving industrial quality and efficiency, and developing New Quality Productive Forces. On the basis of reviewing the dynamic changes in new forms of consumption, this paper analyzes its current challenges and prospects and then puts forward some suggestions. This paper reveals that, during the 14th Five-Year Plan period, China has achieved remarkable progress in developing new forms of consumption. Specifically, the scale of digital consumption has grown rapidly, with increasingly diversified and high-quality offerings; green consumption concepts have gained widespread acceptance, reflected in strong sales of new energy vehicles and eco-friendly home appliances; and health awareness has been significantly enhanced, driving the upgrading and expansion of health-related consumption. However, new forms of consumption in China are also faced with such challenges as an insufficient supply of high-quality products, weak income expectations among residents, and an under-optimized consumer market environment regarding regulation, standards, and infrastructure, thus inhibiting the release of consumption potential. Looking ahead to the 15th Five-Year Plan period, the prospect of new forms of consumption is promising. Technological transformations will continue to drive the development of new consumption forms and models. Green consumption is gradually becoming more widespread, injecting new vitality into the market. Changes in the demographic structure hold new momentum for new forms of consumption. Therefore, China should make efforts to create effective demands for new forms of consumption with high-quality supply, release the consumption potential by enhancing consumption expectations, and optimize the environment of new forms of consumption by strengthening the construction of “soft” institutions and “hard” infrastructure.

Guided by the new development concept, the evaluation index system of high-quality economic development in China is constructed from the five dimensions of innovation, coordination, green, openness and sharing. The entropy method and coefficient of variation are comprehensively used to comprehensively reveal the high-quality economic development level and regional differences of 30 province-level regions in mainland China (the data of Xizang is missing) from 2011 to 2021. The research results show that the overall high-quality development level of China's economy has steadily improved; There is an imbalance in the development of various dimensions of high-quality economic development, tending towards unbalanced development, with the highest score for innovative development and the lowest level of open development, and the gap between various dimensions is gradually widening. There are significant differences in the level of high-quality economic development among different regions; The level of high-quality economic development in the central, western, and northeastern regions is significantly lower than that in the eastern region, and there is a large gap between them. The overall coordination of high-quality economic development regions is gradually strengthening, and regional disparities are gradually narrowing; The internal disparities in high-quality economic development among the eastern, central, western, and northeastern regions are uneven, showing a trend of differentiated evolution. Regional differences are the main reason for the differences in high-quality development of the Chinese economy, with the degree of differences being in the order of East Northeast, East Central, East West, West Northeast, Central Northeast, and Central West. The largest regional differences are in the eastern region, which is significantly higher than in the northeast, west, and central regions.

Achieving equitable access to basic public services in urban and rural areas is an important means to bridge the gap between urban and rural development and promote common prosperity. The digital economy is an emerging economic form. Promoting the deep integration of the digital economy and the real economy can effectively facilitate the construction of China's modern industrial system, enhance the momentum of high-quality development, and consolidate the material basis of basic public services in urban and rural areas. In order to maximize the potential of the digital economy to enable equitable access to basic public services in urban and rural areas, so as to provide strong support for achieving common prosperity, it is very important to study the influence mechanism of the digital economy on equitable access to basic public services in urban and rural areas. Based on the provincial panel data from 2012 to 2022, a comprehensive evaluation index system is established according to the connotations of the digital economy and basic public services in urban and rural areas. On the basis of measuring China's digital economy and the degree of equitable access to basic public services in urban and rural areas, a fixed effect model, a threshold effect model and a moderating effect model are used to explore the effect of the digital economy on equitable access to basic public services in urban and rural areas. The benchmark regression results and the threshold effect test show that the coefficient of the digital economy on equitable access to basic public services in urban and rural areas is positive at the significant level of 1%, and there is a significant double threshold effect, that is, the digital economy can significantly promote equitable access to basic public services in urban and rural areas, with a typical dynamic “N type” nonlinear effect. Through the regional heterogeneity test, it is found that the Matthew effect makes the digital economy exert a relatively stronger enabling effect on equitable access to basic public services in urban and rural areas in regions with high fiscal transparency and small urban-rural income gap, but exert an inhibiting effect in regions with low fiscal transparency and large urban-rural income gap. The test of the moderating effect of public service financial input as a moderating variable finds that the increase in public service financial input helps to promote equitable access to basic public services in urban and rural areas enabled by the digital economy, namely that public service financial input has a significant positive moderating effect in this process. Therefore, this paper puts forward the following suggestions:speed up the construction of new digital infrastructure to drive the development of the digital economy, and effectively play the multiplier effect of digital technology elements on the supply of basic public services; accelerate the process of digital rural construction in rural areas, especially in underdeveloped areas, increase the pace of improving Internet speed and lowering prices, narrow the digital divide among different regions, and urban and rural residents, and address the deficiencies in digital public services and people's livelihood in rural areas; and take financial investment as an important starting point to ensure equitable access to basic public services in urban and rural areas, and provide financial guarantee for promoting the establishment of basic public service guarantee system in urban and rural areas.

With the in-depth advancement of the Internet Power strategy, the big data strategy, and the development of a digital economy during the 14th Five-Year Plan, China's digital economy has been continuously expanding, accounting for more than 40％ of GDP, and it has become an important driving force for promoting regional integration. The digital economy, with its spatial correlation characteristics, can break through geographical limitations and play a leading and driving role in regional economic development. However, due to the neutrality of technology and the profit-seeking nature of capital, problems such as data security, subject status alienation, and digital governance disorder have emerged during the integration of the digital economy with regional integration construction. Focusing on the dialectical relationship between the digital economy and regional integration, using literature analysis and comparative research methods, this paper analyzes the economic factual characteristics under the dual spatial superposition effect from two dimensions: foreign context and local practice. This paper finds that while integrating the digital economy with regional integration optimizes resource allocation, it also brings losses of non-economic values such as damage to data rights and alienation in the field of digital labor. This contradiction stems from the excessive pursuit of economic interests while ignoring the balance of political and social interests. Based on this, this paper reconstructs the abstract value system for big data applications. It is proposed that economic value targets should focus on data's value creation mechanism, resource optimization effect, and high standard effect as a production factor, as well as the spatial integration mechanism for the free circulation of data; non-economic value targets should strengthen citizens' data right protection and the realization of equality and justice in the field of digital labor. This paper further reveals the development tensions constituted by unbalanced resource allocation, differences in technology application capabilities, and differences in institutional implementation and proposes institutional optimization paths for value integration: constructing an institutional system in which the digital economy empowers regional integration, striking a proper balance between the government and the market, respecting market rules to maximize economic welfare output, strengthening regulatory functions to ensure the realization of non-economic goals, and coordinating regulatory tools to improve the normative system. This paper aims to provide a theoretical basis for promoting the benign interaction between the digital economy and regional integration, and it has important reference significance for promoting the construction of the data factor market, solving the problems of data silos and data barriers, and achieving coordinated regional development.

This paper aims to clarify the coupling and coordination relationships among the three systems of basic public services, new urbanization, and industrial transformation and upgrading. It measures the comprehensive development levels of basic public services, new urbanization, and industrial transformation and upgrading in the Beijing-Tianjin-Hebei (BTH) region as a whole and in its sub-regions, as well as the degree of coupling coordination in their development. The study also aims to distinctly categorize the current types of coordinated development among the three systems in the BTH region and analyzes the factors influencing the coupling and coordination development of these systems. This paper constructs a comprehensive index system for basic public services, new urbanization, and industrial transformation and upgrading in the BTH region, employs the entropy method to determine the weights of the indicators, and subsequently uses a comprehensive development level evaluation model to measure the development status of each system. It also applies the coupling coordination degree model to ascertain the coupling and coordinated development of the three systems in the BTH region, and to identify the coupling coordination types of the three systems in Beijing, Tianjin, and Hebei. Finally, this study uses the grey relational analysis model to calculate the grey relational coefficients, thereby analyzing the factors that influence the coupling and coordinated development of the three systems. Based on the research of data from 2009 to 2022 in the BTH region, the following findings are observed. Firstly, overall, the development levels of basic public services, new urbanization, and industrial transformation and upgrading in the BTH region have increased. Secondly, when examining the sub-regions and systems, all three areas in the BTH region show a pattern of “basic public services level>new urbanization level>industrial transformation and upgrading level”. Thirdly, the coupling coordination evaluation results indicate that the level of coupling coordination among the three systems in the BTH region has gradually increased, with Beijing and Hebei shifting from a “barely coordinated” to a “well-coordinated state”, Tianjin adjusting from a “near dysfunctional state” to a “well-coordinated state”, and all three areas moving from the “transitional harmonized” to the “coordinated development interval”. Lastly, education and culture have the greatest impact on the coupling and coordinated development of the three systems in Beijing and Hebei, while infrastructure has the most significant influence on Tianjin. Therefore, in promoting the coupling coordination development of the three systems, it is necessary to formulate differentiated regional development strategies.

The low-carbon city pilot (LCCP) policies are the important content of the national low-carbon strategy, which is of great significance in upgrading industrial structure and realizing high-quality economic development. Based on the panel data of 278 cities at the prefecture level and above in China from 2007 to 2019, and taking the three batches of LCCP projects implemented since 2010 as a quasi-natural experiment, this paper adopts the methods of staggered difference-in-differences (DID), event study, synthetic DID, and generalized synthetic estimation to assess the impacts of LCCP policies on green total factor productivity (GTFP) of Chinese cities and its underlying mechanisms. Specifically, technological innovation, industrial structure upgrading and rationalization, and industrial agglomeration are selected as the intermediate mechanism variables, while factors such as factor allocation, financial development, financial efficiency, informatization, marketization, and environmental regulation are controlled. The results reveal that the LCCP policies can enhance the level of urban GTFP, but this impact is significantly heterogeneous across regions. Further analysis finds that industrial structure upgrading acts as a mediator in the LCCP policies; technological innovation and industrial agglomeration serve as moderators with promoting effects; and industrial structure rationalization functions as a moderator with inhibiting effects. Dynamic effect analysis shows that the average treatment effect after the implementation of LCCP policies is positive and statistically significant, indicating that the LCCP policies exhibit a certain lag, and the treatment effect gradually increases over time. This paper aims to provide empirical support for evaluating the implementation effect of LCCP policies and continuously advancing the national low-carbon strategy while providing useful references for promoting high-quality economic development and realizing the “dual-carbon” goals as soon as possible.

Resource-depleted cities generally face the predicament of sluggish overall economic development. As a typical old industrial base in China, the Northeast region is a concentrated area of resource-based cities, and its economic development is particularly constrained. In recent years, China has successively introduced a series of policies and launched pilot projects for new energy demonstration cities, aiming to improve the development predicament of resource-depleted cities and promote the green transformation of the old industrial base in Northeast China. Selecting the panel data of 34 cities in the three Northeast provinces from 2010 to 2019, and in accordance with the new energy demonstration city policy introduced by China in 2014, this paper uses the multi-period difference-in-differences (DID) method to compare the treatment group and the control group to accurately identify the impact of this policy on the development of the new energy industry and evaluate the treatment effect. The purpose is to examine the role of the new energy demonstration city policy in promoting the advanced level of the industry and the effect of finance in this process. The research shows that the pilot policy of new energy demonstration cities can promote enterprise technological innovation, improve total factor productivity, effectively promote the improvement of the advanced level of the industry, and thus promote the transformation of the old industrial base in Northeast China towards a green and low-carbon direction. At the same time, through the analysis of the moderating effect, it is found that the fiscal burden of local governments to a certain extent will inhibit the full play of the demonstration effect of the new energy industry development, and the increase in fiscal pressure will have a negative impact on the long-term effect of the pilot implementation. Therefore, in the process of accelerating the construction of new energy demonstration city, it is necessary to be vigilant against the risks brought by blind expansion, focus on reducing the fiscal constraints of new energy demonstration city, and fully release the support effect of national policies on new energy demonstration city, so as to promote the stable development of the new energy industry and the regional economy.

With the acceleration of urbanization and industrialization in China, urban governance has become an important issue in the current social development, and ecological environment governance has gradually become an important content of local governments′ work in urban governance. At present, China′s urban ecological environment governance faces multiple complex backgrounds and challenges. Based on the comparative study of two cases of urban ecological environment governance in cities with different development levels in China, this paper attempts to extract the governance dilemma, governance logic, and governance countermeasures of China′s urban ecological environment through the detailed interpretation of these two cases under different governance patterns. Starting from the current problems of urban ecological environment governance in China, this paper puts forward the patterns of fragmented governance, precise governance, campaign-style governance, and holistic governance in the transformation of urban ecological environment governance. China′s urban ecological environment governance usually presents dilemmas such as policy implementation deviation, insufficient social participation, and a lack of governance resources. Based on this, this paper innovatively proposes to improve the resilience of policy implementation, introduce the concept of embedded self-governance, strengthen the capacity of grassroots organizations, guide multiple subjects to participate in governance, smooth the communication and connection mechanisms, and build a governance community, so as to provide scientific, reasonable and feasible governance recommendations for China′s urban ecological environment governance, facilitate the green development of cities, and promote the harmony between humanity and nature through the continuous improvement and enhancement of urban environmental quality.

Data elements have become the top priority of the long-term and stable development of the global economy. Clarifying the theoretical logic of the value release of data elements and better unlocking the potential of data elements is the focus of the digital age. This paper, following the evolution logic of “data-data assets-data elementization-data elements valued process”, clarifies the concept of data elements valued process and its formation basis and demonstrates the realization mechanism of data value from the perspective of political economy, aiming to promote the efficient unification of data elementization form, paths of valued process, and operation mechanism and explore the paths of data elements valued process from the perspectives of Marx′s labor theory of value, Marx′s exchange theory, Marx′s future social theory, Xi Jinping′s Economic Thought, Xi Jinping′s Discourses on a Holistic Approach to National Security, and Xi Jinping Thought on Ecological Civilization. The intelligence and automation enabled by data elementization have replaced the simple labor of human beings, reducing the exchange costs and exchange time, supporting human beings to shift toward high value-added and abstract complex labor, and thus increasing both use value and exchange value. The expansion of data scale promotes the transformation of the “public ownership of the means of production” from imagination to reality. The integration of the virtual data space and real industries can drive the rapid formation of the industrial ecological “community”. Data security addresses the borderless and decentralized characteristics of digital technology. Data governance offers new ways for the public to engage in monitoring, make selective purchases, and organize environmental protection activities. In order to further release the value of data elements, China should break the pattern of “constructing data centers without effective utilization”, accelerate the scene-based application of data labor in different fields, improve the standard system of data resource collection, management, application, and security, and create a data-driven industrial ecology.

Digital technology has gradually been applied to manufacturing enterprises. In order to identify the influence mechanism of digital investment on the integration of manufacturing industry chain and innovation chain, a digital investment mechanism model is constructed, with enterprise collaboration as the mediating variable and foreign technology introduction and domestic technology purchase as the moderating variables. The panel data of Chinese manufacturing industry from 2012 to 2020 are selected, and the hierarchical regression and Bootstrap methods are adopted to inspect the impact mechanism of digital investment on the integration of manufacturing industry chain and innovation chain. Research has found that digital investment has a significant positive impact on the integration of industrial chain and innovation chain; digital investment has an impact on the integration of manufacturing industry chain and innovation chain through enterprise collaboration; foreign technology introduction has a regulatory effect in the impact of digital investment on enterprise collaboration; domestic technology purchase has a regulatory effect in the impact of digital investment on the integration of manufacturing industry chain and innovation chain. The governments should accelerate the development of digital industry, guide enterprises to share production data, prefect and use digital technology in assisting technology development; they should promote digital technology innovation and accelerate the transformation of application results of digital technology.

In the process of promoting the achievement of carbon peak and carbon neutrality strategic goals, it has received widespread attention from many scholars how enterprises manage the environment and improve environmental performance. A-share listed companies in China′s Shanghai and Shenzhen stock markets from 2012 to 2022 are selected as research samples, the text analysis method is used to measure corporate crisis consciousness, the impact of crisis consciousness is empirically tested on environmental performance, the role of corporate innovation is examined in the impact of crisis consciousness on environmental performance, and heterogeneity analysis is conducted. Research has found that there is a significant positive correlation between crisis consciousness and environmental performance, and corporate innovation plays a mediating role in the impact of crisis consciousness on environmental performance; compared to state-owned enterprises, non-state-owned enterprises are more inclined to improve environmental performance through enterprise innovation; compared to development based innovation, exploratory innovation can more effectively promote the improvement of environmental performance.

In the world today, changes on a scale unseen in a century are unfolding at an accelerating pace and the world economy is recovering weakly. China′s economy is in a critical period of climbing and overcoming obstacles. Continuously promoting the construction of a business environment is one of the key measures to address internal and external risks and challenges. Enterprises have the most say in evaluating the quality of the business environment. Starting from the perspective of enterprises, the concept of somatosensory in the field of meteorology has been innovatively introduced to comprehensively utilize multi-source big data to construct the evaluation system of Body Sense Index of Business Environment for Enterprises, and evaluate the body sense of business environment for enterprises in the whole country and provinces from January 2021 to June 2022, so as to validate the operability, scientificity and sensitivity of the evaluation system. On this basis, the status quo and problems of business environment construction are analyzed. It is pointed out that the enterprises in economically developed regions are more sensitive to changes in the general environment. Relevant policy recommendations are put forward finally for continuous optimization of the business environment.

With the improvement of urbanization level and the adjustment of birth control policies in China, the work-family conflict faced by women of childbearing age is gradually becoming more prominent, and grandparent childcare has become a common way of childcare. Based on the data of Chinese Family Panel Studies (CFPS) in 2018, impact of grandparent childcare on non-farm full-time employment of women of childbearing age is explored empirically. Research has found the following. Grandparent childcare has a significant positive impact on non-farm full-time work of women of childbearing age. From the analysis of heterogeneous results, grandparent childcare only has a significant positive impact on non-farm full-time work of women of childbearing age in non-urban areas and outside the state-funded organizations. The participation of non-farm work of women of childbearing age in eastern areas has a significant positive influence by grandparent childcare. From the perspective of achieving high-quality employment of female labor force, the government should promote the establishment of formal childcare institutions, and encourage family-friendly work arrangements, as well as improve the social insurance services for the moving elderly, and subsidize the elderly who provide childcare services, so as to reduce the full-time employment pressure of women of childbearing age by “purchasing services”.

Based on the micro-survey data of 434 vegetable growers in Liaoning province, the structural equation model is used to factor the variables of social trust, risk perception, and pesticide use behavior. The relationship between social trust and risk perception on farm households′ pesticide use behavior was verified by mediating test and moderating test. The results shows that social trust has a direct effect on pesticide use behavior through different action paths and effects, and an indirect effect on pesticide use behavior through risk perception mediating variables, but the moderating effect of training experience on this effect relationship is not significant. Based on the results of the study, targeted measures to improve farm households′ social trust have been proposed in terms of strengthening the credit system of the pesticide industry, improving the degree of risk prediction for vegetable peasant households, and building an effective information platform, including improving the credit file of pesticide production and management entities, piloting the certificate of conformity system for edible agricultural products, and utilizing the new media to strengthen the social trust of peasant households by strengthening the exchange of information and technical training, among other things.

The DEA model is established at the static level and the Malmquist index method is applied at the dynamic level to empirically analyze the spatial and temporal evolution characteristics of the production efficiency of industries above the scale of 30 provinces in China′s mainland except Xizang Autonomous Region from 2013 to 2021, the Tobit model is used to study the factors affecting industrial productivity. The results show that the gap in industrial production efficiency between regions is huge, and the eastern region is significantly higher than the central and western regions, but the overall production efficiency is positive; the green production policies formulated by the government and the degree of openness to the outside world have a significant positive impact on the improvement of industrial production efficiency. In response to this, it is proposed that scientific arrangement of investment in technological research and development, promotion of coordinated regional development, emphasis on green and low-carbon transformation and upgrading of industry, as well as increased openness to the outside world will lead to high-quality industrial development.

Innovation ecosystem is an important way for enterprises to break through the blockade of key core technologies and enhance their independent technological capabilities. It is of great significance to explore the construction and evolution of the core enterprise innovation ecosystem. Based on the modular perspective, a longitudinal single case study is carried on the realization mechanism of DJI′s innovation ecosystem evolution from three aspects:context, structure and mechanism. The results show that product modularization, system modularization and platform modularization form the basis of enterprise innovation cooperation under the support of policy, technology and market situation. Driven by modularity, the realization mechanism, including the adaptation mechanism of innovation subject, the interaction mechanism of innovation resources and the symbiosis mechanism of innovation elements, has evolved gradually. Enabled by situational factors and modularity, the positioning of core enterprises has evolved from pioneer, dominant to leader, and the innovation ecosystem has evolved from chain, network to aggregate innovation network structure. Related enterprises should accurately grasp situational factors, effectively promote modular strategies, and continuously optimize innovation implementation mechanisms to promote the evolution of the innovation ecosystem.

Management situation is influenced by unexpected events and random shocks, new requirements are proposed on the effectiveness of time-series dynamic comprehensive evaluation method. The complexity and variability of the external environment makes the fluctuation of a class of time-series dynamic comprehensive evaluation value significantly different from the previous state, such as the evaluation value has plummeted and then slowly climbed to a lower level and continued to fluctuate. At this time, the evaluation value of the evaluated object has penetrated the negative incentive line of the classical dual incentive control line and continued to be in a downward state, which makes the effectiveness of the classical incentive evaluation method to be improved. In the face of this situation, the recursive incentive evaluation method is proposed with contextual adjustment characteristics. For the split SERU production system employee characteristics, through the production state of SERU multi-capable workers through the Markov process of prediction, the next production state of the probability distribution is firstly predicted for the multi-capable workers. Based on the probability distribution, the recursive value is then obtained at each stage, the recursive value of the multi-capable workers is incentivized with the combination of the dual-incentive line method. And finally combined with the hesitant fuzzy function, the time weights are solved with the degree of subordination, and the evaluation value is obtained with time weights with the degree of subordination. By considering the combination of SERU production system, which is a new production system of the era, it is proved that this method has better flexibility and robustness.

In today′s prevalent “home economy”, improving the conversion rate of online users is the main way for App enterprises to seize the market and explore business potential. From the perspective of psychological account, empirical research is conducted on the mechanism of online user conversion by applying push-pull anchoring model. The results show that:the more tired to the product defects the users are, the weaker the non-substitutability strength and budgeting strength of psychological accounts, and the easier for users to change their psychological account settings and budget allocation, thus easier to produce consumption behaviors. The more the user perceives the value of the product, the weaker the non-substitutability strength and budget strength of the psychological account, and the easier the users are to produce consumption behavior. Users with a high level of optimal stimulus are more likely to be tired of product defects, and the non-substitutability strength and budgeting strength of psychological accounts are more likely to be affected by product defect boredom. Users with a high level of optimal stimulus are more likely to perceive product value, while the non-substitutability strength and budgeting strength of psychological accounts are more likely to be affected by perceiving product value. Marketing suggestions are proposed accordingly on improving user conversion rates, such as highlighting the characteristics of paid products, enhancing user perceived value, improving user incentive mechanisms, and providing targeted marketing push to App users, etc.

The report of the 20th National Congress of the Communist Party of China once again emphasized the acceleration of the construction of New Development Pattern and focused on promoting high-quality development. To construct the New Development Pattern is a major policymaking of China based on the change of comparative advantage, a profound reform to adapt to the change of relationship of supply and demand, and a strategic plan based on the current and focused on the long-term. The key of the construction of New Development Pattern lies in the unimpeded economic circulation, but there are still some blockage points in the four links of production, distribution, circulation, and consumption of current national economy in China. To accelerate the construction of New Development Pattern with domestic circulation as the main body and domestic and international double circulation promoting each other, not only the strategic basis of expanding domestic demand should be adhered to, the strategic direction of supply side structural reform should be remained, the key blockages that restrict the economic cycle should be broken through, and a higher level of dynamic equilibrium between supply and demand should be formed, but also a new advantage for China to participate in international cooperation and competition with a high level of opening up should be created, the strategic initiative in open development should be won, and the realization of a mutually promoting domestic and international dual cycle should be promoted.

Common prosperity is an essential requirement of socialism. Exploring the development of common prosperity and regional differences in China is of great significance in promoting high-quality development. Based on the theoretical analysis of common prosperity in the new development stage, a results-based common prosperity evaluation system is built from five dimensions:affluence and prosperity, spiritual self-reliance, livable and working environment, social harmony and amity, and universal and inclusive benefit of public services. China's common prosperity is measured through the entropy weight Topsis method. Moran's I index and Kernel density estimation are used to reveal the dynamic evolution of common prosperity in seven regions, and Dagum Gini coefficient is used to analyze regional differences and sources of common prosperity. The results show that: the overall level of common prosperity in China is steadily improving; there are differences in the five dimensions of development, and the weight of livable and working environment is great, but the development of it is slow; there are gradient distribution and spatial agglomeration among regions, there is a catch-up effect in Northwest and Central China, there is a lack of development impetus in South China, and the growth rate in Northeast China is relatively low and there is a growing trend of differences compared to other regions in the future; the coordination within the region is gradually increasing, while the coordinated development between regions still has great shortcomings.

Aiming at the vehicle routing problem of the mixed fleet of electric vehicles and fuel vehicles considering both pick-up and delivery and time of use electricity tariffs, a vehicle routing optimization model for fresh food distribution has been constructed with the objective of minimizing the sum of the fixed vehicle cost, driving cost, refrigeration cost, cargo damage cost, time window cost, carbon emission cost and charging cost, and a hybrid genetic simulated annealing algorithm integrating neighborhood search is designed for solution. The results show that compared with the separation of pickup and delivery, the simultaneous pickup and delivery mode can significantly improve the distribution efficiency and vehicle loading rate; properly increasing the battery capacity of electric vehicles through technical upgrading can weaken the dependence of vehicle routing schemes on charging facilities and effectively reduce distribution costs; by comparing with the running results of the genetic algorithm and hybrid genetic algorism-variable neighborhood search algorithm, the effectiveness of the algorithm is verified. References are provided for cold chain logistics enterprises to achieve energy conservation and emission reduction, cost reduction and efficiency increase in the distribution link.

The effects of government subsidy policies are explored on the profits of each and overall supply chain members in different mixed recycling modes. The Stackelberg game model is established. The changes in the profits of each members and overall supply chain members are compared and analyzed with different recycling modes. And the numerical simulation analysis is conducted. It is pointed out that increasing the amount of government subsidy can increase the profits of each recycling entity and the overall supply chain profits in the optimal recycling mode, and the optimal recycling model for the closed-loop supply chain is obtained. The countermeasures and suggestions are proposed, such as increasing subsidy amounts, enhancing publicity and education, improving subsidy mechanisms, and building industrial clusters, etc. Theoretical basis and reference are provided for decision-making on the recycling model of the closed-loop supply chain.