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As ESG (environmental, social, and corporate governance) is consistent with the spirit of sustainable development, it is useful to elevate ESG performance to realize the sustainable development of enterprise and society. Using the data of Chinese A-share listed firms in the period of 2011 to 2019, this paper takes the National Big Data Comprehensive Pilot Zone policy as a quasi-natural experiment and uses the difference-in-differences method to assess the effect of digital economy development on ESG performance. This paper reveals the following: (1) the digital economy can facilitate ESG performance; (2) digitalization of the economy helps enterprises to propel digital transformation, which in turn lifts ESG performance; (3) digital economy development has a deeper impact on private enterprises, especially for those in China's capital cities; and (4) digital economy development moderates the inhibiting effect of ESG performance on corporate financial constraints. The findings of this paper indicate that digitalization of the economy can help to achieve sustainable development. [ABSTRACT FROM AUTHOR]

As a new economic paradigm, the digital economy is critical to economic growth and environmental protection. This paper empirically explores the impact of the digital economy on regional energy consumption intensity in the Beijing–Tianjin–Hebei region from 2010 to 2018. It is found that the digital economy has a significant inhibitory effect on regional energy consumption intensity. This effect remains valid even after passing the endogeneity and robustness tests. The paper confirms that technological innovation is the primary means by which the digital economy affects energy consumption intensity. The analysis of spatial spillover effects shows that the digital economy promotes the improvement of energy consumption intensity in surrounding areas through technology spillover effects. A heterogeneity analysis demonstrates that the technology spillover effect has a significant inhibitory effect on the energy consumption intensity of the surrounding areas for economically developed cities. Currently, the digital economy is a significant driver for enhancing productivity and quality. The integration and application of digital technologies have enabled technological innovation in the real economy, effectively reducing regional energy consumption. [ABSTRACT FROM AUTHOR]

A powerful correlation exists among the advancement of the economy of digital, sustainable economic advancement, and income distribution. The advancement of the digital economy provides a significant motivating factor for sustainable economic development, while sustainable economic development provides a strong guarantee for income distribution, and the improvement of income distribution is also conducive to sustainable economic development. What is the connection between the digital economy and income distribution? This is the focus of this paper and also an important way to clarify the association between the advancement of the digital economy, sustainable economic development, and income distribution. This paper aims to explore whether the advancement of the digital economy has enhanced the effect of income distribution among industries and examine the role of production efficiency and human capital. Through the use of the multidimensional fixed-effect model, this study finds that the development of the digital economy is favorable to enhancing the income distribution effect among industries, and this income distribution enhancement effect is more prominent in large-scale non-state-owned enterprises. In addition, we also find that digital transformation can dramatically improve the total factor productivity of enterprises, thus enhancing the income distribution impact among industries. The promotion of digital transformation can also improve the quality of human capital in enterprises, strengthen the income distribution impact between industries, and reduce the income disparity among industries. The industry income gap measurement method and the industry perspective of income distribution adopted in this paper contribute to the existing literature and will contribute to the development of income distribution equity in the era of the digital economy and also provide a new vision for sustainable economic development from the perspective of income distribution. [ABSTRACT FROM AUTHOR]

The impact of green technology innovation and the digital economy on the sustainability of the green economy is increasing. To delve deeper into this subject, this paper utilizes fixed- effect models and threshold effect models. It examines data from 34 provincial administrative regions of China. The aim is to uncover the patterns of influence the green technology innovation and the digital economy have on the sustainability of the green economy. The research findings are as follows: (1) The green technology innovation, digital economy, and their interaction contribute to promoting the high-quality sustainability of the green economy. The sustainability of the green economy relies on the support of green technology innovation and the digital economy. By optimizing the capabilities of green technology innovation and the level of digital economy, managers could enhance the high-quality sustainability of the green economy. (2) The digital economy exhibits a dual threshold effect in driving the sustainability of the green economy through green technology innovation. When the digital economy surpasses the first threshold, the influence of green technology innovation on the green economy experiences a notable increase. However, once the digital economy surpasses the second threshold, the impact of green technology innovation on the green economy begins to diminish significantly. (3) There are notable regional variations in the impact of green technology innovation and digital economy on the sustainability of the green economy across different regions of China. Considering these findings, it is vital for stakeholders in China to implement customized measures. These measures should aim to actively promote the sustainability of China's green economy. The relevant stakeholders include businesses and the government. [ABSTRACT FROM AUTHOR]

The digital economy plays an important role in reducing the global warming process. This paper explores the spatiotemporal heterogeneity impacts of the digital economy on provincial carbon emissions and its underlying mechanisms. Initially, this paper examines the inhibitory impact of the digital economy on carbon emissions, alongside the mediating role of economic agglomeration, at a theoretical level. Subsequently, it empirically explores the quantitative associations among the digital economy, economic agglomeration, and carbon emissions by utilizing Chinese provincial panel data spanning from 2000 to 2021. This investigation employed static and dynamic spatial Durbin models as well as mediation models to analyze the interrelationships. The results firstly revealed that the digital economy notably diminishes carbon emissions, with economic agglomeration playing a significant mediating role. This conclusion remained consistent even after substituting the explanatory variables and weight matrix, modifying the sample period, and conducting other robustness tests. Secondly, the impact of the digital economy on carbon emissions exhibited spatial spillovers. Compared with the impact on the local area, the impact on neighboring provinces was found to be weaker. Thirdly, carbon emissions showed a significant "snowball" effect in the time dimension. This paper emphasizes the important role of digital technology in curbing carbon emissions, and it provides some policy insights for studying the digital economy, economic agglomeration, and carbon emissions. Furthermore, it offers valuable insight and suggestions to reduce carbon emissions and realize the goal of the "dual-carbon" strategy. [ABSTRACT FROM AUTHOR]

Improving the structure of energy consumption (ECS) through green finance and the digital economy is one of the main paths to achieving the goal of carbon neutrality. This paper explores the impact of green finance and the digital economy on the ECS of 30 regions in China from 2007 to 2022 using the Generalized method of moments(GMM) model, further analyzes its heterogeneity, and then provides a reference for the scientific development of relevant decisions. The conclusions are as follows: (1) The change in the ECS is closely related to the degree of optimization of the ECS in the previous year, and this is a process of dynamic adjustment. The level of digital economy development can improve the ECS of the country as a whole and in the eastern and central regions, while the western regions have not yet played a significant role due to the underdevelopment of the digital economy. Green finance can inhibit fossil fuel energy consumption in all regions, and it promotes cleaner, more efficient, and low-carbon energy consumption, thereby improving the ECS. However, the impact effect is the largest in the east and smaller in the west. (2) The urbanization levels of the country as a whole and that of the central and western regions show a positive correlation with the results of energy consumption. However, in the eastern region, it shows an inhibitory effect on fossil fuel energy consumption, which can optimize the ECS. The industrial structures in all regions have positive impact coefficients; the development of industry is not conducive to the optimization of the ECS. Trade openness can improve the ECS only in the eastern region; technological progress in all regions can significantly improve the ECS. Based on the background of carbon neutrality, this paper reveals that green finance and the digital economy promote cleaner, more efficient, and lower carbon energy consumption and reduce the level of energy consumption. This paper also provides a reference for the scientific formulation of relevant decisions. [ABSTRACT FROM AUTHOR]

In the context of the rapid development of digital economy and the promotion of sustainable development, this paper focuses on the impact of digital economy on income levels. Based on the panel data of 195 prefecture-level cities, the "Broadband China" pilot has been regarded as a natural experiment for the measurement of the digital economy. In this paper, a time-varying DID model was established to evaluate the influential effect of "Broadband China" on income growth. It was found that the coming into service of "Broadband China" has increased the overall income level of the Chinese labor force. Further research found that "Broadband China" has done more to raise the income levels of the high-skilled labor force, thus widening the income gap between the high-, medium-, and low-skilled labor force. "Broadband China" can affect the income growth via two mechanisms, namely, "increasing the entrepreneurship rate" and "leading to an increase in the overall number of professional and skilled labor force in China". In this case, the entrepreneurship rate of the high-skilled labor force may be higher than that of the medium- and low-skilled labor force due to human capital accumulation. The rapid increase in the high-skilled labor force in technical industries will lead to the situation where their income growth effect is higher than that of the medium- and low-skilled labor force. Based on the above research results, this paper puts forward policy suggestions from three aspects: further accelerating the process of digital economy; improving the institutional environment of the broadband network and standardizing the order of the construction of the broadband network; and further stimulating the entrepreneurial motivation of labor force, paying attention to the problem of skill bias and optimizing the employment structure, balancing efficiency and equity, and contributing to the ultimate sustainable development of developing countries. [ABSTRACT FROM AUTHOR]

The rapid progress in science and technology has ushered in a new era of organized and efficient development within the digital economy. China has repeatedly emphasized the need for high-quality development that prioritizes ecological conservation. The central challenge is to balance economic growth with environmental protection, ensuring sustainable development. Understanding the environmental impact of the digital economy is critical for achieving green growth in China. This paper investigates the relationship between the digital economy and ecological protection, using data from 30 provinces and cities in China between 2012 and 2021. Through empirical analysis, including a two-way fixed effect model, mechanism analysis, regional difference analysis, and robustness tests, the study found a significant negative correlation between the digital economy and environmental pollution. This indicates that the development of the digital economy can effectively improve the ecological environment. In the information age, seizing the opportunities presented by the digital economy is crucial. By deepening the digital industry and leveraging digital technologies, China can enhance enterprise production, promote innovation, and create a positive feedback loop between economic development and environmental optimization. However, it is essential to recognize regional disparities in digital economy development and work to narrow these gaps, ensuring balanced and sustainable growth across the country. [ABSTRACT FROM AUTHOR]

The digital economy is an important driving force for promoting national economic growth and achieving high-quality economic transformation, and is a key force in achieving the sustainable development goals (SDGs). This paper measures the digital economy development level of 30 provinces in China from 2013 to 2021 utilizing the entropy of weighting approach, and in order to further reveal its intrinsic laws and differences, it uses three-dimensional kernel density analysis, the Dagum Gini coefficient, spatial autocorrelation analysis, and cold hot spot analysis to explore the spatial and temporal evolution characteristics of the digital economy and its regional imbalance. The empirical results show that ① China's digital economy has been steadily increasing, spatially showing the characteristics of gradual decrease from east to west and from coast to inland, with obvious spatial agglomeration characteristics and an increasing trend. ② There are obvious regional imbalances in the digital economy, with the southeast coastal region leading significantly. ③ The overall regional differences are large but reduced, mainly from intra-regional differences, the and inter-regional contribution is low. The research in this paper provides data support for revealing the spatial and temporal evolution characteristics of digital economic development and provides new path support for the balanced development of China's regional digital economy. [ABSTRACT FROM AUTHOR]

This paper measures the comprehensive level of the digital economy and integrated urban–rural development across Chinese provinces from 2013 to 2022. Using a two-way fixed effects model, it explores the nonlinear relationship, regional heterogeneity, and underlying causes of how the digital economy empowers integrated urban–rural development. The study finds that: (1) The digital economy promotes integrated urban–rural development, with a quadratic polynomial regression model and threshold regressive model revealing an inverted U-shaped relationship. The turning point has not yet been reached, and the promoting relationship shows a diminishing marginal trend. (2) In terms of sub-dimensions, the strengths of the promoting effect are ranked as follows: digital infrastructure construction, industrial digitization, and digital industrialization. (3) Regionally, the digital economy's promoting effect on integrated urban–rural development is strongest in Central China, followed by Eastern China, and weakest in Western China. The innovation and contribution of this paper lie in discovering the nonlinear impact of the digital economy on China's integrated urban–rural development, analyzing its intrinsic driving forces and regional differences, and providing valuable references for implementing regionally differentiated development policies for the digital economy and integrated urban–rural development in various regions of China. [ABSTRACT FROM AUTHOR]

The digital economy is reshaping the global economic landscape, with advancements in artificial intelligence, robotics, and virtual reality revolutionizing industries and transforming how people work and live. While the digital economy has promise in terms of improving human capital development, for example, through increased access to education and healthcare services, it also presents challenges, such as job displacement and income inequality. This study aims to evaluate the impact of the digital economy on human development indicators in the Kingdom of Saudi Arabia, seeking to understand how it influences education, health, and income levels. This paper provides valuable insights for policymakers seeking to enhance the Kingdom's position in the global human development race by examining the relationship between the digital economy and human development using econometric models. This paper analyzes data from the World Bank and the United Nations Development Program to measure the impact of the digital economy on sustainable human development indicators. The findings show that while the digital economy has negligible or negative influence on other human development indicators, it has a limited beneficial impact on education in the long run. In addition, attaining sustainable human development—which is consistent with Vision 2030—requires expanding the economy beyond the oil sector and fostering scientific and technological progress. [ABSTRACT FROM AUTHOR]

The launch of the low-carbon city pilot policy is of great significance to promoting China's economic structural transformation, especially for the development of the digital economy. This paper took the low-carbon city pilot policy as a quasi-natural experiment. By matching the panel data of 284 cities in China from 2007 to 2020, this paper studied the impact of the low-carbon pilot cities on the development of the digital economy by using the differences-in-differences(DID) method. The results show the following: (1) The low-carbon city pilot policy significantly promoted the development of the digital economy in the pilot areas, and the promotion effect was the most significant in the eastern region and the pilot areas of non-resource-based cities. (2) Through a mechanism analysis, it was found that government intervention and human capital play a mediating role between low-carbon pilot cities and digital economy development, while the mediating effect of industrial structure upgrading was not verified in this paper. (3) The mechanism of action is also heterogeneous in different regions; that is, the magnitude and direction of action vary across regions. This paper attempts to provide theoretical support for the green and sustainable development of the Chinese economy. [ABSTRACT FROM AUTHOR]

With the rapid development of China's digital economy, promoting the digital countryside construction has become the strategic focus and priority development direction of rural revitalization and common prosperity. This paper combines the county-level digital countryside index with the data from the China Household Finance Survey to empirically analyze the impact and mechanism of the digital countryside construction on household income. The results show that the digital countryside construction can significantly improve the level of household income. After the endogenous analysis and the robustness test, this core conclusion is still valid. From the perspective of mechanism test, the digital countryside construction can increase household income by promoting household entrepreneurship and nonagricultural employment. Heterogeneity analysis shows that there is no significant difference in the income-increasing effect of the digital countryside construction, whether urban or rural households, or households with different human capital and social relations, which means that the digital countryside development has the characteristics of inclusiveness and sharing. Under the background of unswervingly taking the road of common prosperity for all Chinese people, this paper provides some micro-evidence for how the digital economy can contribute to household income growth, as well as provides a useful reference for the implementation of the digital China strategy. [ABSTRACT FROM AUTHOR]

This paper creatively constructs blockchain development indicators using geographical characteristics to investigate the influence of blockchain development on the total factor productivity of listed companies. Our findings reveal that local blockchain development can significantly promote the improvement of the firms' total factor productivity. To alleviate endogeneity, this paper combines exogenous policy and geographic distance to construct instrumental variables. Moreover, the positive influence is more pronounced in non-SOEs, non-excess capacity industries, and samples with high initial productivity. After the robustness test, the results are still valid. The aforementioned results provide practical implications for Chinese listed companies to lay out digital business. [ABSTRACT FROM AUTHOR]

Digital economy has emerged as one of the primary driving forces for economic globalization. However, assessing digital economy development in a robust and scientific manner remains a great challenge. This paper proposes an evaluation system with measurement errors correction to accurately research the regional differences in and the spatial-temporal evolution characteristics of digital economy development in the Yangtze River Economic Belt (YEB), combining the entropy method, the Dagum–Gini coefficient, an σ convergence model and grey correlation analysis. The results present that the digital economy development index in the YEB rose from 2012 to 2021, with the greatest weight being social livelihood benefits. Meanwhile, there were noticeable regional differences in digital economy development in the YEB; in particular, the middle reaches showed obvious convergence. The grey correlation degree between the influence factors and the digital economy development ranged from 0.5286 to 0.9144, demonstrating a robust positive correlation. The theoretical framework of this paper integrates economic development models with advanced statistical analysis techniques, providing a robust analytical perspective for examining the complexities of digital economy evolution. The insights offer a blueprint for policymakers seeking to foster a robust and equitable digital economy, underscoring the potential of data-driven policy formulations in navigating the intricate landscape of economic globalization. [ABSTRACT FROM AUTHOR]

Countries around the world have carried out digital transformations to improve their economic resilience. As the largest developing country, China put forward the "channeling computing resources from the East to the West (CCREW)" project in 2022 to balance and promote the development of various regions. This paper constructs a three-region computable general equilibrium model covering the eastern, western, and other regions and evaluates the impact of the project on economic development, social welfare, and carbon emissions in different regions. By simulating the transfer share of the CCREW project, this paper attempts to further reveal the impact of the policy both on regional differences and national development. The results show that the effects of the project are quite different among regions. Our findings can be summarized as follows. (1) In terms of carbon dioxide emissions, the policy will cause emissions to shift from the East to the West. (2) In terms of economic development, the policy will lead to an overall downward trend in the GDP of the eastern and other regions, whereas for the western region, the policy will promote the development of the regional economy. Regional differences may affect the implementation of the policy and its effects. (3) In terms of social welfare, the policy will result in an inverted U-shaped change in social welfare at the national level, which first rises and then falls, and will change from positive to negative when the transfer share exceeds 20%. At the regional level, social welfare in the eastern and other regions will decline, whereas that in the western region will show an inverted U-shaped change that first increases and then decreases. (4) In the short term, the project at the national level has reduced carbon emissions at the expense of economic development and incurred a loss in social welfare. [ABSTRACT FROM AUTHOR]

This paper examines the nexus between the digital economy and sustainable urban economic development by considering the moderating roles of human capital and government support. This study utilizes panel data from China at the city level from 30 provinces for the period 2011–2019 and employs the Spatial Durbin model along with fixed effects, the Generalized Method of Moments (GMM), and Feasible Generalized Least Squares (FGLS) models. The results show a significant positive connection between the digital economy and sustainable urban economic development. The findings also demonstrate the significant moderating roles of human capital and government support in enhancing the connection between the digital economy and sustainable urban development. Finally, this study recommends policy implications to improve the quality of life and stimulate growth in urban areas of China. [ABSTRACT FROM AUTHOR]

In the digital era, data-driven production organizes digital urban networks. This study explores the critical role of government policies in shaping these networks, focusing on China's evolving policy contexts. While existing research has mainly emphasized qualitative analyses, this paper quantitatively assesses the impact of policy changes on digital urban networks, specifically through the lens of China's online gaming industry. The study aimed to elucidate the relationship between the policy environment and digital urban networks. By examining China's transition from protectionist to regulatory policies, this research employed a social network analysis and valued exponential random graph models (ERGMs) across two key phases: the competitive protection phase (2014–2017) and the systematic regulatory phase (2018–2022). The findings revealed a significant transformation in urban network structure, shifting from a centralized model dominated by a few core cities to a decentralized, multi-centered network. The key factors influencing this evolution include the institutional proximity and cross-regional collaborations. This study offers valuable insights into how policy shifts affect urban networks in the digital economy, contributing both theoretically and practically to future policy design. [ABSTRACT FROM AUTHOR]

As a new engine of China's economic development, the digital economy is playing an important role in rural revitalization. Due to the impact of the novel coronavirus epidemic, there is a lack of recent empirical research on the digital economy and rural revitalization and development of the Yangtze River Economic Belt. Based on the provincial panel data of 11 provinces in the Yangtze River Economic Belt from 2014 to 2022, this paper calculates the comprehensive development level of the digital economy and rural revitalization and conducts a benchmark regression on their relationship. The results of the heterogeneity analysis show that the impact of the digital economy on rural revitalization in the upper and middle reaches of the Yangtze River is stronger than that in the lower reaches. Then we adopt the Moran index and spatial Durbin model for further regression analysis, and find that there is a spatial autocorrelation between the digital economy and rural revitalization. The digital economy of the Yangtze River Economic Belt has a spatial spillover effect on rural revitalization. To effectively harness the digital economy's role in advancing rural revitalization, it is crucial to tailor resource allocation to local conditions, implement targeted policies, and establish a robust monitoring and evaluation system. This strategy aims to facilitate the seamless integration of the digital economy with rural revitalization, thereby achieving synergistic effects and promoting comprehensive, sustainable development in both economic and social dimensions. [ABSTRACT FROM AUTHOR]

The digital economy serves as a pivotal catalyst for sustainable and eco-friendly development. This study employs a suite of advanced econometric models, including the fixed effects, mediation, threshold and moderation model, to elucidate the intricate dynamics by which the digital economy influences carbon emissions through the lens of green innovation. Building on the existing research on digital economy, green technology innovation and carbon emissions, this paper takes a dual-innovation perspective and divides green technology innovation into disruptive green technology innovation and incremental green technology innovation. And from the government and the public level, it explores how social concerns affect the effect of digital economy on carbon emissions. The analysis is grounded in a comprehensive dataset encompassing a decade of provincial-level data from 2011 to 2021 across China's 30 provinces. The benchmark regression outcomes indicate the digital economy's ability to substantially cut down carbon emissions; the threshold effect and mediating effect models demonstrate that a single-threshold effect exists and that disruptive and progressive green technological innovations mediate such ability. Additional research reveals that the digital economy's impact on carbon emissions could be positively moderated by public and governmental attention. Eastern and western regions in China, as well as those with high levels of foreign investment and low levels of technological transaction activity, are more affected by the digital economy in terms of carbon emission reduction. Our conclusions offer practical recommendations for digital economy's coordinated advancement and carbon emissions mitigation, and guide local governments to achieve sustainable development goals (SDGs). [ABSTRACT FROM AUTHOR]

In the context of the new revolution of science and technology, the digital economy not only exerts a significant and profound impact on the scale of enterprise labor demand, but also increasingly becomes a new engine driving green technology innovation in companies. In this paper, we use the micropanel data of Chinese A-share-listed companies from 2011 to 2020 to assess the impact of the digital economy on the scale of enterprise labor demand and the role played by green technology innovation within it. The study finds that: (1) the digital economy significantly expands the labor demand of enterprises, with a more pronounced expansion effect observed at the lower and higher quantiles of the labor demand scale. (2) Green technology innovation can exert a significant intermediary effect between the digital economy and the scale of enterprise labor demand. (3) There is significant heterogeneity in the impact of the digital economy on the labor demand of enterprises and the mediating effect of green technology innovation. the expansion effect of the digital economy on the scale of labor demand is more pronounced in enterprises located in the western region and characterized by rapid industry technological changes in small-to-medium-sized companies, while the mediating effect of green technology innovation is more pronounced in enterprises located in the eastern region, characterized by slow industry technological changes in large-sized companies. (4) Among the segmented indicators of the digital economy, cloud computing technology, big data technology, and digital technology applications significantly expand the scale of enterprise labor demand. The empirical results of this paper have important theoretical and policy implications for understanding the role of the digital economy in promoting labor force employment and achieving green sustainable development. [ABSTRACT FROM AUTHOR]

For China to reach its "dual carbon" aim, the digital economy presents both opportunities and obstacles. This paper examines the potential impact of digital economy development on regional carbon dioxide emissions, concluding that while the direct impact on regional carbon dioxide emissions through industrial structure upgrading and technological progress is unclear, the indirect impact through promoting energy structure transformation is both positive and clear. This research experimentally validates the results of a theoretical analysis using panel data from 30 Chinese provinces from 2011 to 2019 and the STIRPAT model and discovers an inverted U-shaped association between digital economy development and regional carbon dioxide emissions. According to the transmission path test, the digital economy primarily achieves its carbon dioxide emission reduction effect by promoting energy structure transformation, while the carbon dioxide emission reduction effect from upgrading industrial institutions and technological progress is insignificant. By region, the expansion of the digital economy in eastern China has a large carbon dioxide emission reduction effect but not in central and western China. The policy implication of this paper is that curbing new carbon dioxide emissions caused by digital infrastructure construction using the digital economy to accelerate energy structure transformation and accelerating digital economy development in central and western China can be effective policy options for the Chinese government to achieve the goal of carbon dioxide emission reduction. [ABSTRACT FROM AUTHOR]

Based on the data from 2012 to 2022, this paper comprehensively uses exploratory spatial data analysis, the panel threshold model, and the spatial Durbin model to explore the spatiotemporal evolution characteristics and mechanisms of digital economy and high-quality economic development. The results show that the center of gravity of China's digital economy development has gradually concentrated in the southeast region, and the level of high-quality economic development has improved rapidly, gradually forming a pattern of radiation driving the development of the central and western regions with the Beijing–Tianjin–Hebei region, the Yangtze River Delta, and the Pearl River Delta. The digital economy can significantly improve the level of high-quality economic development, but this effect has a lag effect, and it can be extended to the fifth stage. There is a single threshold for high-quality economic development of the digital economy, and the two stages of its development can significantly promote the high-quality development of the economy, but the effect of the latter stage is weakened, showing the nonlinear characteristics of first strong and then weak. The digital economy has a notable positive spatial spillover impact, and its development dividend will raise this province's and its bordering provinces' levels of high-quality economic development. [ABSTRACT FROM AUTHOR]

The positive interaction between digital economy development and urban–rural relationship adjustment can both expand the contribution of technological factors and enhance the balance of urban–rural development. This paper aims to explore the trends and barriers to the coupled and coordinated development of the digital economy and urban–rural integration. This paper measures the degree of coupled coordination between the digital economy and urban–rural integration based on provincial panel data from 2013 to 2020 in China. Based on this, this paper investigates the characteristics and driving forces of the coupled coordination relationship through the chronological evolution method and geographically weighted regression. The results show that (1) the coupling relationship between the digital economy and urban–rural integration has improved substantially in Chinese provinces; (2) heterogeneity still exists at the provincial level; (3) this relationship is expected to be optimized over time; and (4) information construction, rational distribution, balanced growth, equalization of public services and digital-industry development does have a positive effect on the improvement of the coupled coordination relationship, and the popularity of the internet has a negative effect. Accordingly, this paper mainly draws the following conclusions. The coupling relationship between the digital economy and urban–rural integration in the Chinese provinces shows a tendency to be more coordinated. It is necessary to promote the development of the five positive drivers and to guide and regulate the negative drivers. [ABSTRACT FROM AUTHOR]

Digital transformation is increasingly crucial to the upgrading and sustainable development of China's manufacturing industry with the rapid development of the digital economy. To study the impact of the digital economy on the sustainable development of the manufacturing industry, this study analyzed the theoretical basis of the digital economy's impact on the promotion of the sustainable development of the manufacturing industry. Then, based on the panel data of manufacturing sectors in 2002, 2005, 2007, 2010, 2012, 2015, and 2017, empirical tests and mechanism analysis were conducted by means of the two-way fixed effect model and the mediating effect model. The results were as follows: (1) Digital services can significantly improve the industrial performance of the manufacturing industry, while the effect of digital products is nonsignificant; (2) Mechanism analysis revealed that digital services can promote the industrial performance of the manufacturing industry through the intermediary mechanisms of reducing production costs rather than transaction costs; (3) Digital services can also reduce carbon emissions and promote the green development of the manufacturing industry through the intermediary mechanisms of innovation. In conclusion, digital services can promote the sustainable development of China's manufacturing industry. This paper provides evidence for the integration of the manufacturing industry and the digital economy. Furthermore, it has important implications for the formulation of digital economy policies and the sustainable development of the manufacturing industry. [ABSTRACT FROM AUTHOR]

As an emerging economy, the combination of the digital economy and industrial development can lead to a variety of new industries and new formats and form new momentum. This paper aims to analyze how the digital economy affects sustainable agricultural development, through what path, and what role the factor allocation plays in this process. Based on the analysis of the impact mechanism of the digital economy on sustainable agricultural development, this paper takes 30 provinces in China from 2013 to 2020 as the research object, builds a panel data model and mediation effect model, empirical analyses on the impact of the digital economy on sustainable agricultural development, and verifies the mediation effect of factor allocation in this process. This study found that the digital economy significantly promoted sustainable agricultural development. At the national level, this obvious promotion effect was achieved by reducing the misallocation of labor and capital. At the regional level, sustainable agricultural development in the eastern region of China depended on the optimization effect of the digital economy on the allocation of labor and capital, but the situation was slightly different in the central and western regions of China. The digital economy in the central and western regions of China significantly improved sustainable agricultural development by allocation effect of labor factors. Although the allocation effect of capital factors had a positive effect on sustainable agricultural development, it was not significant. In order to promote sustainable agricultural development, the digital industry development should be accelerated, the allocation effect of the factor market should be brought into play, and the digital economy should be better integrated with sustainable agricultural development so as to realize the modernization of agricultural development. [ABSTRACT FROM AUTHOR]

The digital economy is the fastest-growing sector in the world today, and will also be the key development direction of China in the future. The level of digital financial capability (DFC) determines whether households can fully embrace the inclusivity of digital finance and seize the business opportunities presented by the digital economy. Hence, we utilized panel data from the China Household Finance Survey (CHFS) and built a probit model with two-way fixed effects. The results revealed that DFC has a positive impact on household entrepreneurship through both supply- and demand-side mechanisms. The results also revealed that DFC has not only catalyzed the evolution of digital business models but has also enhanced the digital business performance of enterprises. The analysis of heterogeneity confirms that DFC can promote entrepreneurship in rural settings and in the retail and restaurant sectors. This research has important theoretical contributions and policy suggestions for governments to help them pay attention to the inclusive role of DFC in developing the digital economy. [ABSTRACT FROM AUTHOR]

This study examines the effects of digitization on economic growth in Turkmenistan, emphasizing the legal framework and real-world applications. The definition of "digitalization", an analysis of its impact on the nation's economy, and a focus on its unique features are presented first. It then explores several critical issues regarding Turkmenistan's digital economy's progress, such as assessing its current economic situation, significant trends, innovation, and challenges. It examines the financial results of implementing the Concept for the Development of the Digital Economy for 2019–2025 and the impacts of these policies. The report's conclusion offers some recommendations and a breakdown of the challenges Turkmenistan faces as its digital economy expands, and how technology developments, digitization, and regulatory agendas affect Turkmenistan's and the Hainan Free Trade Port's economic growth in Turkmenistan. It examines the possible benefits of using digital technologies to promote trade facilitation and regional economic expansion. The potential and state of the country's digital economy are better understood. The investigation also emphasizes how vital digital technologies are to advancing society and creating jobs, and this research emphasizes the need for digitization as a successful tool for economic growth and highlights the need for a market economy based on a solid legal framework. One of the central tenets of Turkmenistan's economic strategy is the development of emerging digital technology. Considering China's experience, the paper examines Turkmenistan's digital economy's legal approach to technology use. Turkmenistan can benefit from this experience just by starting its digital transformation journey. [ABSTRACT FROM AUTHOR]

The rapid development of the digital economy poses both opportunities and challenges for the process of new urbanization. This study utilizes inter-provincial panel data covering the period from 2012 to 2021 in the Yellow River Basin. It employs fixed-effect, mediation effect, and threshold effect models to examine how the digital economy affects the high-quality development of new urbanization in the area. Key findings of the study indicate that the digital economy has a positive impact on the high-quality development of new urbanization in the Yellow River Basin through its facilitation of industrial structure upgrading. The impact exhibits a non-linear "marginal effect," transitioning from slower to faster growth rates. This paper aims to establish a basis for decision-making and policy formulation aimed at enhancing the high-quality development of the digital economy within the context of new urbanization in the Yellow River Basin. [ABSTRACT FROM AUTHOR]

High-quality economic development is an inevitable requirement for promoting sustainable development. Stacks of research papers have suggested that the quality of China's economic development will make an important contribution to promoting global sustainable development. The collaborative agglomeration between manufacturing and producer services is determined by multiple factors, including industrial characteristics and industrial associations. This is conducive to the efficient evolution of the industrial structure and to further achieving high-quality economic development. Based on the provincial data from 2010 to 2021 in China, this research evaluated the impact of co-agglomeration between manufacturing and producer services on high-quality economic development by using the double-fixed-effect spatial Durbin model. The benchmark regression results showed that industrial co-agglomeration impacted high-quality economic development in an inverted U-shaped. This result had a significant positive spatial spillover and was robust. In the spatial heterogeneity tests, the co-agglomeration of industries had different effects on high-quality development in regions. The strongest spillover effect of positive externalities was in the eastern region, which played an active role as a "growth pole". The "siphon effect" happened in the central region. The spillover effect had a "U" shape in the western region, and the co-agglomeration inhibited current high-quality development. In the mechanism analysis, the industrial co-agglomeration enhanced high-quality development by stimulating green innovation, and the digital economy had a positive moderating effect. The study presented in this article provides empirical evidence and offers policy recommendations for formulating industrial policies and improving the quality of economic development. [ABSTRACT FROM AUTHOR]

The digital economy, the tourism industry, and ecological protection are closely related, which holds paramount significance for regional sustainable development. Based on panel data from 2011 to 2021 in the Yellow River Basin, the study scrutinizes the spatial and temporal variances and driving factors of the three-system coupling coordination degree. The results indicate that: (1) The development level of the three systems is significantly different. The coupling coordination degree shifts from imminent imbalance to marginal coordination, but there is a noticeable expansion in spatial disparities. (2) The coupling coordination degree of non-resource cities significantly surpasses that of resource cities, and regenerative cities outperform growing, mature, and declining cities. The overall pattern of the provincial capital cities "center-periphery", decreased the coordination characteristics. The spatial correlation of coupling coordination degree presents two aggregation patterns of "high-high" and "low-low", and the overall correlation gradually weakens. (3) The driving factors reveal that the economic driving force is the largest, followed by the internal driving force, and the government regulatory force and scientific and technological driving force are relatively weak. Consequently, this paper proposes to strengthen the integration and penetration function of the digital economy and have it play the linkage role between regions. This lays down a solid foundation for crafting scientifically informed policies aimed at achieving regional sustainable development. [ABSTRACT FROM AUTHOR]

Rural industrial integration refers to the process of relying on technological innovation and industrial model innovation to promote the optimal allocation of factors such as land, capital, and labor in rural areas, promote the optimization of a rural industrial structure, rural property rights stability, agricultural and rural development, and ultimately achieve the extension of the agricultural industry chain and improvements in farmers' income levels. In order to grasp the mechanism of digital economy and rural land certification on rural industrial integration, this paper analyzes the impact of digital economy development and rural land certification on rural industrial integration based on the 2011–2021 panel data of the Yangtze River Economic Belt at the municipal level. Research has shown the following. (1) The early development of the digital economy significantly promoted the integration of rural industries. After overcoming the turning point of the digital economy, the digital economy has a restraining effect on the integration of rural industries; in terms of controlling variables, the education level of rural residents, regional economic development level, per capita disposable income of rural residents, and rural power generation all significantly promote the process of rural industrial integration. (2) Rural land certification has played a positive transmission role by confirming, reviewing, and registering land ownership in accordance with the law, clarifying the ownership of land rights, providing a stable property rights foundation for rural industrial integration, and effectively promoting rural industrial integration. (3) The impact of the digital economy on rural industrial integration has a single threshold effect, and after crossing the threshold value of a rural population, the positive impact of the digital economy on industrial integration is more significant. (4) The development of the digital economy has significantly improved the integration level of rural industries in this region and neighboring areas. The above conclusions have important policy implications for further leveraging the digital economy to promote the integration of rural industries and the modernization of agriculture and rural areas. [ABSTRACT FROM AUTHOR]

Analyzing the coupled coordination of the digital economy (DE) and agricultural green development (AGD) and exploring the main influencing factors affecting their coupled coordination are key to achieving high-quality and sustainable development in agriculture. These measures are also crucial for achieving the United Nations' Sustainable Development Goals (SDGs). In this study, we constructed a comprehensive evaluation system including two subsystems, DE and AGD, and firstly measured the development of DE and AGD and their trends in 13 provinces in China's main grain-producing areas during the decade from 2012 to 2021 using EW-TOPSIS. Secondly, the coupling coordination development (CCD) model was used to analyze the static results and dynamic evolution process of CCD of the DE and AGD subsystems in the study area. Finally, the gray correlation degree (GCD) model was used to identify the main influencing factors in the interaction between the two systems in 2012 and 2021. The results show the following: (1) The development levels of DE and AGD generally rose during the study period, but the development level gap between regions was obvious, and the development of DE relatively lagged behind. (2) The level of CCD increased year by year, and the overall process changed from "uncoordinated" to "coordinated". (3) At the beginning of the study period, the development achievements of DE had a great impact on the process of AGD. The application of advanced agricultural technology in the AGD system and the process of agricultural industry upgrading had a profound impact on the development of DE. However, a decade later, the main factors had changed. This paper analyzes the results of the above empirical study in time and space, aiming to provide policymakers with new working ideas to achieve the SDGs. [ABSTRACT FROM AUTHOR]

Data are the core element of digital transformation. Data factor marketization (DFM) is critical in the process of digital transformation, which promotes urban green development. This paper analyzes the role of digitization in urban environmental sustainability. We investigate the effects of DFM on environmental pollution (EP) using a difference-in-differences approach and data from 283 cities in China from 2006 to 2019. The findings reveal that cities implementing DFM demonstrate an average reduction in EP of 2.67%. The mechanism behind DFM lowering EP involves fostering green innovation, increasing public awareness of environmental issues, attracting IT professionals, optimizing the industrial structure, and enhancing digital finance capabilities. Large cities, cities in the south, and those not primarily dependent on natural resources exhibit a more pronounced reduction in EP through DFM. Implementing policies related to digital infrastructure and enhancing the protection of urban intellectual property rights further amplifies the effect of DFM in reducing pollution. Additionally, this effect exhibits spatial spillover effects. This study contributes to the existing literature by (1) demonstrating DFM's role in improving urban environmental quality in China through digital technology and market mechanisms, thereby aligning economic growth with ecological sustainability; (2) emphasizing the importance of public engagement in environmental stewardship through increased awareness and community participation in policymaking, as well as fostering social inclusion and ecological conservation; (3) emphasizing spatial spillover effects, the importance of inter-city collaboration in environmental policies, and advocating for comprehensive strategies to achieve broader environmental improvements across urban areas. [ABSTRACT FROM AUTHOR]

The impact of the digital economy (DE) has become the important faction of the market volume of domestic non-tradable sectors (DNSs). As rising digitalization supersedes traditional market power as a driving force, there is increasing concern about the volume of trade and economy; however, the literature of how the DE procession changed the DNS's are limited, although the Chinese government is eager to enlarge the scale of the domestic market to be consistent with the trend of digitalization. This paper addressed this issue by employing a series of data from prefecture-level cities between 2010 and 2019 in China. Using panel data methods under fixed effect, synthetic difference-in-differences (SDID), and temporal-spatial econometrics, the paper's hypothesis sheds light on the positive impact of the DE on DNSs. The regression results showed a 14.84% of improvement for the effects of DE development on DNS growth. The policy impact effect increased the average treatment effect by 3.9% average treatment effect, accompanied by temporal and spatial correlations. Further analysis illustrated that a possible intermediary mechanism through which the DE promotes the development of DNSs is the enhancement of the local product market development. It was concluded that policy-makers of developing countries should be devoted to breaking down domestic trade barriers among different regions to enhance the benefits of digitalization. [ABSTRACT FROM AUTHOR]

With the acceleration of informatization, the spatial layout of economic activities has gradually shifted from "transportation cost + labor force" to "information + technology". As a new generation of information, the digital economy has a profound impact on the spatial layout of the manufacturing industry. Based on the data of China's listed manufacturing companies from 2001 to 2020, this paper aims to assess the effect of the digital economy on manufacturing agglomeration and identify the transmission mechanism of this effect. The results show the following: (1) The digital economy significantly promotes the geographical agglomeration of the manufacturing industry, which is still valid on the basis of a series of robustness and endogeneity tests. (2) Mechanism analysis shows that the digital economy promotes manufacturing agglomeration by reducing transaction costs, increasing market potential and enhancing knowledge spillover. (3) Heterogeneity analysis shows that the effect is more significant in the samples of large enterprises, high-tech manufacturing, central and western regions, small and medium-sized cities and the west side of the "Hu Huanyong Line", which will greatly help the layout of the manufacturing industry break through the "Hu Huanyong Line" to achieve balanced development. (4) Globalization, localization and human capital play a significant positive moderating role in the process. This paper provides microevidence for the integration of digitalization and industrialization. Furthermore, it has important implications for the formulation of digital economy policy, the high-quality development of the manufacturing industry and the continuous promotion of regional coordinated development. [ABSTRACT FROM AUTHOR]

In the context of the digital economy, the speed of enterprise development is becoming faster and faster. To understand and establish the environment of network marketing, we must first understand the obstacles. Successful establishment depends on its promotion in society and the active participation of the government and enterprises. Only with the active cooperation of all parties can network marketing be rapidly established. At present, the marketing methods adopted by many enterprises are very traditional. These management methods are not only inefficient, but also present problems such as poor real-time information, a low degree of informatization, information asymmetry and closed marketing data. In order to address these problems, this paper proposes to use digital economic means to scientifically manage enterprise marketing. Here we examine the marketing effect of enterprises and determine the needs of consumers by constructing an enterprise marketing management system, so that enterprises can observe trends in consumer needs and consumer markets at any time, and make timely responses to markets and technological changes. We use a B/S model to build an enterprise marketing management system that can develop steadily in a green ecology. This paper mainly uses the mean clustering algorithm to analyze the performance of the enterprise marketing management system. Through the experiment, it is found that a good marketing management system can help enterprises improve economic efficiency and data processing ability. During the operation, it was found that the transaction success rate of the system reached 100%. Most enterprises responded within 1.5 s. The functional changes of the enterprise before and after the B/S architecture enterprise marketing management system were analyzed and it was found that the real-time information acquisition by enterprise employees, the sharing of marketing data, the degree of informatization of the system, the security of system information and the data processing capabilities had all been improved. Among these, the degree of informatization of enterprises improved the fastest and went from 48% to 94%. Under the enterprise marketing management system, the annual economic income of the enterprise increased by 1.35 million yuan, which was a year-on-year increase of 7.2%. The experimental data showed that under the green ecological perspective, the enterprise marketing management system based on the digital economic environment has certain practicality, which can promote the healthy development of enterprise marketing management. [ABSTRACT FROM AUTHOR]

With the rapid development of knowledge and the digital economy, it is a crucial to understand the role of the digital economy in improving the innovation efficiency of universities. Using the panel data of universities in 31 Chinese provinces from 2013 to 2020, this paper measures the regional innovation efficiency of Chinese universities and examines the impact of the digital economy on universities' innovation by employing the super-efficiency DEA model along with the Malmquist index, kernel density estimation and Theil index. The analysis shows the following: (1) The digital economy has a significant positive impact on the efficiency of university innovation, but there is still much room for improvement. (2) In terms of the dynamic evolution of innovation efficiency, Chinese university performance shows a trend toward declining innovation efficiency, and the issue of inadequate investment in technical innovation is discovered, which urgently needs to be addressed. The findings of this paper offer empirical support for understanding the relationship between digital economy growth and university innovation productivity with important ramifications for the innovative expansion of higher education institutions in emerging nations. [ABSTRACT FROM AUTHOR]

In the digital age, digital resources are naturally sustainable, and they have become the basic technologies and platforms by which to maintain the sustainable development of the social economy. At a time when global epidemic prevention and control are becoming increasingly dynamic, digital empowerment has become a basic tool by which to promote sustainable social and economic development. In terms of digital empowerment, grassroots digital empowerment has become the most critical and urgent link to strengthen. In this study, a literature analysis using CiteSpace and NVivo software shows that the research prospects of grassroots digital governance are broad, but there is a lack of communication and cooperation between the research subjects, and a cooperative network of close and benign interaction has not been formed. There are many hot topics in the research, mainly focusing on five aspects: digitalization, grassroots governance, digital governance, digital technology, and digital countryside. The theme of these papers is changing to digital empowerment, technology empowerment, and "digital intelligence governance". These characteristics and problems correspond to the practice of digital governance at the grassroots level in China. Therefore, in the theory and practice of Chinese grassroots digital governance, we must adhere to the problem-oriented principle and take "problem-driven" as the basic logic of grassroots digital governance. At the same time, it is necessary to consider the complexity of China's grassroots communities and the stages of governance technology, adhere to the principles of integrated development and collaborative innovation, and take "mixed governance" as the main logic of grassroots digital governance. Generally speaking, we should realize optimization in the innovation of grassroots digital governance from three aspects, namely, strengthening the integration of grassroots digital systems, improving the ability to solve the problems of digital governance, and advancing the transformation of grassroots digital governance with incremental governance logic. [ABSTRACT FROM AUTHOR]

Digital technology can be used to adjust the structure of energy production, promote the development of new agricultural production technologies, and reduce carbon emissions. With the increasing integration of digital technology in various fields, rural development is also entering a critical period of digital transformation. Therefore, this paper uses digital technology and agricultural carbon emission intensity as research objects. We use panel data from 2011 to 2019. We first measure and analyse the level of digital technology development in China. This article empirically tests the impact between digital technology and the intensity of agricultural carbon emissions. Digital technology can be used to significantly suppress the intensity of agricultural carbon emissions. The suppressive effect is more significant in the western region of China than in the central and eastern regions. [ABSTRACT FROM AUTHOR]

Breaking the "poverty trap" has gradually become the core topic of economic research. The transformation and upgrading of industrial structure is considered an essential means to break the "poverty trap". How to use the digital economy effect to change the allocation of capital and labor factors and realize the transformation and upgrading of industrial structure is a significant issue in this paper. The study focuses on examining the development of China's digital economy between 2013 and 2021, uses the entropy method to measure it, and conducts an empirical study through a fixed-effects model and an intermediary-effect model to investigate the influence and mechanism of the digital economy on industrial structure transformation and upgrading. The results indicate the following: Firstly, the digital economy plays a crucial role in facilitating the transformation and upgrading of industrial structure, and this conclusion was still robust even after controlling for a series of factors affecting the transformation and upgrading of industrial structure and correcting the endogenous estimation deviation by using instrumental variables. Secondly, through the heterogeneity analysis of regions with different economic development levels, it was found that compared with economically developed regions, economically backward regions need to pay more attention to the development of the digital economy. Thirdly, the examination of the mechanism revealed that the digital economy has realized the transformation and upgrading of industrial structure by optimizing the allocation of capital and labor. In this paper, Schumpeter's innovation theory is regarded as a new perspective to break the "poverty trap" and realize the transformation and upgrading of industrial structure, filling the gap in related research in this field. This study provides a suggestion for economically backward areas to break the "poverty trap" and provides theoretical support and practical guidance for the sustained economic growth of the whole country. [ABSTRACT FROM AUTHOR]

The development of the cultural industry cannot be isolated from the efficient integration with the digital economy and digital technology at the current stage of the technological and industrial revolution. This paper constructs an indicator system to measure the sustainable development of the cultural industry and tests the relationship between the digital economy and the sustainable development of the cultural industry using an OLS model based on China's provincial panel data from 2011 to 2021. The findings of this study suggest that the digital economy can significantly aid in the long-term growth of cultural companies. The process of promoting sustainable development of the cultural industry through the digital economy has also advanced thanks to the government's strong support. This report also suggests governmental recommendations based on these findings for the sustainable development of China's cultural industry in the age of the digital economy. This paper theoretically elucidates the mechanism of the role of the digital economy on the sustainable development of the cultural industry, constructs a system of indicators to measure the sustainable development of the cultural industry, and tests the impact of the digital economy on the sustainable development of the cultural industry. [ABSTRACT FROM AUTHOR]

The digital economy has become an important force driving China's socio-economic development. From the perspective of sustainable energy development and based on China's provincial panel data from 2011 to 2020, this paper probes into the relationship and transmission mechanism of digital economy, clean energy consumption, and high-quality economic development and utilizes the spatial Durbin model and intermediary effect model to carry out empirical tests on the paths of their influence. The results indicate that (1) the digital economy has a significant promoting effect and a positive spatial spillover effect on high-quality economic development, and its influence has obvious spatial heterogeneity; (2) the intermediary effect model validates that clean energy consumption is a mediating variable of digital economy and high-quality economy development, and its conduction effect also has obvious spatial heterogeneity. The research conclusions provide a new perspective and empirical evidence for understanding the relationship between digital economy and high-quality economic development as well as policy implications for the realization of digital transformation and low-carbon development goals. [ABSTRACT FROM AUTHOR]

This paper aims to study the intricate interplay among the digital economy, industrial structure, and the degree of dependence on foreign trade. We utilize panel data from 284 prefecture-level cities in China spanning from 2011 to 2019 to comprehensively evaluate the level of digital economy development and investigate its influence on regional trade dependence. Additionally, we explore the role played by the industrial structure in the mechanism analysis. Our findings reveal that the digital economy significantly reduces regional trade dependence, while industrial structure upgrading notably enhances regional trade dependence. Moreover, the industrial structure upgrading weakens the influence of the digital economy on regional trade dependence, but such impact varies across regions as the impact of digital economy on foreign trade dependence is more pronounced in inland areas. This paper also facilitates the exploration of how the digital economy empowers domestic economic growth. [ABSTRACT FROM AUTHOR]

This paper takes the establishment of the big national data comprehensive experimental area as a quasi-natural experiment, selects the balanced panel data of 31 provinces, autonomous regions, and cities (excluding Hong Kong, Macao, and Taiwan) in China from 2011 to 2019 as the research object, and adopts a multistage DID model to evaluate the impact of the digital economy on high-quality economic development. We found that the digital economy has a significant role in promoting high-quality economic development. The PSM-DID, placebo test, and robustness test of modified model settings also confirmed this conclusion. The heterogeneity analysis found that the digital economy significantly improved the quality of economic development in the eastern region and regions with a better institutional environment, but not in the central and western regions and regions with poor institutional environments. The mechanism test showed that the digital economy mainly improved the quality of economic development by improving regional innovation ability and stimulating residents' consumption. The spatial spillover effect found that the digital economy also had the incentive to improve the high-quality development of neighboring regions. [ABSTRACT FROM AUTHOR]

Digital transformation has become a key strategy for enterprises to enhance resilience in effectively responding to external shocks and achieving sustainable development in the context of the global spread of the epidemic and the increase of uncertainties in external environments. In this paper, the impact and mechanism of digital transformation on corporate resilience are examined based on data of listed Chinese companies from 2007 to 2020. Our research results reveal that digital transformation can significantly enhance corporate resilience. This conclusion remains unchanged after controlling for endogeneity issues and performing various robustness analyses. Digital transformation has heterogeneous effects in the dimensions of corporate property rights, industries, and regions, with state-owned enterprises, manufacturing, and eastern enterprises benefiting more. Digital transformation primarily reinforces corporate resilience through mechanisms that improve human capital, strengthen innovation capabilities, ease financing constraints, and enhance internal control. Therefore, the government must guide macro policies, pay attention to the leading role of state-owned enterprises, and narrow the regional digital divide to better enact digital transformation and promote corporate resilience. Simultaneously, in the process of digital transformation, enterprises should combine the characteristics and development stages of their industry by exploring the development requirements and strategically implementing them in stages in a targeted manner. The findings of this paper provide new empirical evidence for the economic impact of enterprise digital transformation, as well as useful inspiration for enhancing enterprise resilience and promoting high-quality development. [ABSTRACT FROM AUTHOR]

Environmental regulation is an effective environmental policy tool, which can balance the interests of the government, enterprises, and the public and can effectively address the internalization of environmental externalities. The digital economy has emerged as a brand-new force for the advancement of high-quality economic development. In order to successfully come true to high-quality economic development based on coordinated development of environmental protection and economic growth, the primary objective of this paper is to investigate whether environmental regulation promotes high-quality economic development from a digital economy perspective. This paper empirically analyzed the impact of environmental regulation on high-quality economic development in 236 Chinese cities from 2011 to 2019, using the mediation effect model, threshold regression model, and spatial Durbin model. The results demonstrated that environmental regulation has a significant positive effect on the general high-quality economic development. Specifically, formal environmental regulation has a positive nonlinear effect with decreasing marginal effect on high-quality economic development, whereas informal environmental regulation has a positive nonlinear effect with increasing marginal effects. The digital economy is an important path for environmental regulation to strengthen high-quality economic development. Environmental regulation and the digital economy jointly promote high-quality economic development. In spatial effects, formal environmental regulation has a negative spatial spillover effect on high-quality economic development, whereas informal environmental regulation has a positive spatial spillover effect. Based on these conclusions, it is proposed that the government should actively develop and strengthen the interaction mechanism between formal and informal environmental regulation, enhance the integration of digital platforms and environmental regulation, and develop a coordinated development mechanism for the environment and economy across regions. [ABSTRACT FROM AUTHOR]

This paper used the entropy method to measure the comprehensive level of China's urban regional digital economy development and measured the transformation and upgrading of industrial structures from both quantitative and qualitative dimensions. Based on the panel data of 271 prefecture-level cities in China from 2011 to 2018, this paper investigated the impact and transmission mechanisms of digital economy development on the transformation and upgrading of industrial structures through a fixed effects model, mediating effect model, and threshold regression model. The results show the following: First, the development of the digital economy has a significant positive role in promoting the quantity and quality of the upgrading of industrial structures, and has a stronger explanatory power for the quality of the upgrading of industrial structures. Second, the mechanism analysis shows that the digital economy can accelerate the transformation and upgrading of industrial structures by stimulating the level of regional innovation. Third, the analysis of the threshold regression model shows that the impact of the digital economy on the upgrading of industrial structures has nonlinear characteristics. Fourth, the impact of the digital economy on the upgrading of industrial structures has regional heterogeneity. It has the greatest impact in the western region, followed by the central region and the eastern region. [ABSTRACT FROM AUTHOR]

The convergence of digitization and greening is an unavoidable path of modern economic progress. Nonetheless, the digital economy does not consistently align with the principles of green development, potentially leading to a rebound effect in urban digitalization initiatives. To investigate the correlation between the digital rebound effect and urban green development, this study utilizes panel data from Chinese prefecture-level cities spanning from 2011 to 2019. By examining the dual impact of the digital economy on green development, the paper posits a theoretical hypothesis regarding the nonlinear marginal effect of the digital economy. This research demonstrates an inverted U-shaped correlation between the digital economy and urban green development via empirical analyses employing the random forest algorithm and partial dependency plots. It supports the existence of a moderate digital resiliency effect, which eventually reaches a state of stability rather than greatly diminishing the degree of green development in urban areas. In addition, the heterogeneity analysis reveals that the positive effects of the digital economy are more popular in cities located in the eastern and central regions, as well as in the National Comprehensive Pilot Zone for Big Data. However, these effects do not vary significantly among different ranks of cities. The mechanism test found that the information effect and the capital allocation effect are the mechanisms by which the digital economy affects green development, and there is a "U-shaped" relationship between the digital economy and information asymmetry and capital mismatch. According to the study's results, improving the digital economy's governance structure continues to make more sense than merely increasing the number of digital inputs. [ABSTRACT FROM AUTHOR]

The rapid growth of the digital economy has heightened concerns over its environmental impacts, particularly in terms of carbon dioxide emissions. In contrast to previous studies that focus on the positive effects of digital technology on reducing carbon emissions, this paper provides a detailed analysis of the various factors that influence digital economy carbon emissions and their interrelationships, using the system dynamics method to simulate and predict China's future digital economy carbon emission baseline from 2016 to 2046. Four different scenarios were established by adjusting parameters for the percentage of the digital economy, e-waste growth rate, and data center power consumption. The simulation results indicate the following: (1) The baseline scenario shows China's digital economy carbon emissions peaking at 1.9045 billion tons in 2041 after an initial increase and subsequent decrease. (2) Single-policy simulations indicate that changing the digital economy's scale and e-waste growth independently leads to peak emissions of 1.9205 billion tons and 1.5525 billion tons, respectively. Adjusting data center power consumption has a greater impact, increasing the peak emissions to 2.1675 billion tons, a 13.82% rise from the baseline. (3) Under the comprehensive regulation scenario, emissions peak in 2040 at 2.0813 billion tons, considering the interactions between the digital economy, data center power, and e-waste. Based on the findings, we recommend fostering innovation in the digital industry, enhancing the e-waste treatment process, strategically developing digital infrastructure, and exploring effective carbon reduction strategies for the digital economy aimed at supporting China in achieving its dual-carbon goals. [ABSTRACT FROM AUTHOR]