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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]

This paper uses inter-provincial panel data from 2011 to 2017, a linear regression model, and a threshold model to conduct empirical analyses of the impact of the digital economy on China’s overall economic growth and the three main sectors of industry. The paper then investigates the impact and effects the digital economy has had on the economic growth of the three main sectors of industry in China’s eastern, central, and western regions. Finally, the paper investigates the most significant differences among the various regions and the threshold effects of urbanization levels on the relationship between the digital economy and economic growth. The findings indicate a significantly positive correlation between the digital economy and regional economic growth. Moreover, geographical factors notably influence this correlation. The digital economy exerts a positive effect on all sectors of industry. It may not substantially impact industrial development in regions with highly developed infrastructure. Regarding the other regions, the digital economy exhibits varying degrees of impact due to the differences in the specific indicators. The conclusion drawn by the threshold model is that the magnitude of the threshold effect correlates with geographic factors. No threshold effect was observed in the eastern region, while the threshold effect occurred in the central region when the urbanization levels for the provinces were below 0.6645. Similarly, the threshold effect was noted in the western region when the urbanization level was below 0.3931. Considering all of this, the study also offers policy recommendations that will help balance the regional development of digital economies, accelerate the digital transformation of traditional industries, enhance digital infrastructure construction, refine the formulation and implementation of data policy, and establish relevant incentive mechanisms. [ABSTRACT FROM AUTHOR]

Digital economy is an important direction of the new round of technological revolution and a key driving force for realizing the "double control of carbon emissions". This paper utilizes the panel data of 30 provincial-level administrative regions in China from 2011 to 2021 to measure the development level of the digital economy, total carbon emissions, and carbon emission intensity and explores the impact of the digital economy on the dual control of carbon emissions and the mechanism of its effect by applying the mediating and moderating effect models. The results show that the digital economy can play a significant inhibitory effect on total carbon emissions and carbon emissions intensity, and this conclusion is still robust after a series of tests. From the government level, there exists a transmission path of "digital economy → environmental regulation stringency → dual control of carbon emissions"; from the enterprise and research organization level, there also exists a transmission path of "digital economy → R&D intensity → dual control of carbon emissions". From the perspective of regional imbalance, there are large regional differences in the impact of the digital economy on the dual control of carbon emissions, and there are also large differences in the impact of the various subdivided indicators of the digital economy on the dual control of carbon emissions. In addition, this paper also finds that the positive effect of the digital economy on the dual control of carbon emissions is more obvious in regions with a smaller proportion of SOEs. These findings add new evidence to the study of "the impact of the digital economy on the dual control of carbon emissions" and provide new ideas for accelerating the realization of green and sustainable development. [ABSTRACT FROM AUTHOR]

As the most active field in China's economic development, the digital economy is crucial to the high-quality development of enterprises. Taking Chinese-listed agricultural enterprises as research samples, this paper discusses the effect of the digital economy on promoting the high-quality development of agricultural enterprises and the mechanism behind it from the perspective of total factor productivity of enterprises. The study found that the digital economy significantly promoted the improvement of total factor productivity of agricultural enterprises and enabled the high-quality development of agricultural enterprises, and this conclusion remained valid after controlling for endogeneity and conducting robustness tests. In terms of action mechanisms, the digital economy is conducive to promoting green innovation and promoting the high-quality development of agricultural enterprises; However, entrepreneurial activity has a masking effect. Further analysis shows that the digital economy plays a more significant role in promoting non-resource-intensive agricultural enterprises located in northern China. At the same time, the higher the industrial structure and financial development level of the region, the more positive impact the digital economy can play. This study verifies the impact mechanism of the digital economy on the high-quality development of agricultural enterprises and provides enlightenment for China's the digital economy policy-making and enterprises' the high-quality development strategy decision-making. [ABSTRACT FROM AUTHOR]

The digital economy is gradually emerging as a new driving force and engine for high-quality economic development. In the context of reaching carbon peak and carbon neutrality, can the digital economy empower the development of urban green technology innovation? Based on the panel data of 274 cities in China from 2011 to 2019, this paper measures the development level of digital economy at the city level and employs the two-way fixed effect model to empirically analyze the impact of digital economy on urban green technology innovation. The results indicate that: (1) Digital economy development exert a significant positive impact on urban green technology innovation. This conclusion still holds after a series of robustness tests. (2) Digital economy enhances urban green technology innovation by optimizing human capital structure, enhancing the level of financial and credit investment, and strengthening public environmental concern. (3) Heterogeneity analyses show that the digital economy has a greater positive effect on green technology innovation in the eastern region and non-resource cities. The higher the level of intellectual property protection and the better the development of the factor market, and the lower the intensity of environmental regulation, the greater the positive effect of the digital economy on urban green technology innovation. These findings are not only of great practical significance for accelerating the development of green technology innovation in China, but also serve as a reference for other developing countries to utilize the digital economy to empower the development of green technology innovation. [ABSTRACT FROM AUTHOR]

In the post-epidemic era, China's digital economy is booming. Especially in the new "dual circulation" development pattern, it has gradually become a new driving force and major pillar for promoting high-quality economic development. This paper mainly researches the indirect ways in which the digital economy empowers economic development from the perspective of China's domestic economic cycle. On this basis, it builds a framework for the mechanism of action. Through the test of the multiple mediation model, it is found that the contribution of the parallel mediation effect of production factors marketization and digital financial inclusion is more than 50%, while the effect of consumption structure upgrades is only about 4%. It is worth noting that the chain mediation effect of production factors marketization and digital financial inclusion acting through industrial structure upgrades on economic development is highly significant at the 1% level. Meanwhile, these three factors interact with each other two by two and constitute a chain-mediated path which is all significant at the 5% level. Therefore, in the context of the digital economy, accelerating the development of new industries to optimize the industrial structure, smoothing the flow of production factors, and improving the digital financial system to tap the consumer market will become the focus of promoting high-quality economic development in China in the future. [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]

How has China's privacy protection strategy been developed, with its broad scope and stringent requirements for data localization and cross-border data flows? What are the broader geopolitical implications of its divergence from Western models of data privacy? This paper argues that China's privacy protection strategy, characterized by its comprehensive regulatory framework and government access to data, is redefining the contours of global data governance and creating new geopolitical fault lines. Drawing on official documents, laws, regulations, and a case study, this paper highlights the evolution of the regulatory framework in response to emerging challenges posed by technological innovations and the wider geopolitical environment. This paper contributes to the broader discussion regarding the implications of China's privacy protection approach, highlighting potential normative clashes with countries that favor a more open digital economy. China's efforts in developing its own privacy protection strategy have also resulted in the formulation of global standards for data privacy. [ABSTRACT FROM AUTHOR]

This paper incorporates scholarly articles, conference papers, and published books, analyzing these sources to explore how topic modeling is used to uncover trends, identify research areas, and contribute to understanding the digital economy. The study utilizes bibliography data and Python libraries for topic modeling to examine 8,321 documents from the Scopus database. Through rigorous analysis, three distinct topics were identified, and their development trends were traced, providing insights into the shifting focus within the field. The study also validates the classification proposed by the coherence coefficient and contributes theoretically and methodologically by employing Latent Dirichlet Allocation (LDA) topic modeling technology within text analytics. The results of this study indicated that "Digital Transformation" emerged as the most popular, accounting for 56.6% of tokens. However, the "Digitalization" topic exhibited relatively lower popularity, representing only 21.2% of tokens. The findings help enhance the understanding of global research trends and offer a valuable framework for comprehending digital economy research. Furthermore, the study emphasizes the significance of analyzing digitalization, data governance, and digital transformation, highlighting the efficacy of LDA as a powerful tool for efficient and accurate text analytics. The research findings are especially pertinent for scholars in information science, data mining, econometrics, and bibliometrics. They offer a foundational understanding of topic modeling, facilitating further investigation and exploration in these fields. However, the study identifies two limitations, including the limited dataset extracted solely from Scopus and the restriction to abstracts rather than full texts. Future research should consider expanding data sources and incorporating full texts from authoritative articles in multiple languages to attain more comprehensive outcomes. [ABSTRACT FROM AUTHOR]

Introduction: The development of the digital economy has a profound impact on industrial economics. The article starts from the perspective of industrial organization theory. The thesis aims to analyze the industrial development of the digital economy and its three structural variables: digital manufacturing industry, digital service industry, and the development of industrial digitization on carbon emission intensity. Method: Based on the data of Input-output Tables with extended tables of 30 provinces, this paper analyzes the industrial development of digital economy and its three structural variables: digital manufacturing industry, digital service industry, and the development of industrial digitization on carbon emission intensity. Results and discussion: The empirical results show that: 1) at the national level, the development of China's digital economy industries has a suppressive effect on carbon emission intensity; 2) in terms of spatial effects, the development of digital economy has significant carbon spillover effects, but digital industrialization and industrial digitization present different spatial effect results; 3) from the analysis of regional heterogeneity, in the northeast, central and western regions, the direction of influence of digital industrialization and industrial digitalization on carbon emission intensity is consistent; in the eastern region, the development of digital industrial service sector and industrial digitalization has a suppressive effect on carbon emission intensity, while digital industrial manufacturing sector presents a pro-increasing effect; 4) Non-linear relationship analysis shows that the development of the digital industrial manufacturing sector has a "promoting and then inhibiting" effect on carbon emission intensity. Overall, the impact of digital industry development on carbon intensity exhibits a "promoting increase, then suppressing, then promoting increase" trend. In conclusion, the findings suggest that China's digital economy industry has entered the low-carbon development stage. [ABSTRACT FROM AUTHOR]

Agricultural modernization can only be attained through the high-quality development of agriculture, which is made possible by the deep integration of the digital economy with traditional agriculture. From the perspective of the entire agricultural industry chain, this paper offers a theoretical and empirical examination of the digital economy's role in enabling high-quality agricultural development. The fixed effects model, convergence test, threshold model, and spatial error model were implemented based on the panel data of 13 cities in Jiangsu Province from 2013 to 2021 to validate the role of the digital economy in enabling high-quality agricultural development. The findings indicated that first, for every 1% increased in the level of digital economy development, the level of high-quality agricultural development increased by approximately 0.183%. Second, the high-quality development of agriculture had the characteristics of absolute convergence and conditional convergence, and there was a non-linear character in the role of the digital economy in the high-quality agricultural development. Third, for every 1% increase in the development level of digital inclusive finance, the level of high-quality agricultural development in surrounding areas with similar economic levels will be improved by about 0.188%.In this regard, Jiangsu Province should grasp the opportunity of the era of digital economic development, continue to strengthen the construction of digital economic development in backward areas, and attach great importance to inter-regional exchanges and cooperation in the construction of digital agriculture. [ABSTRACT FROM AUTHOR]

The transformation of business and the economy is a key business problem, and its importance was further heightened during the COVID-19 pandemic, with the increased pressure on enterprises. Hence, the digital readiness of their business will likely determine its future competitiveness in the field. Objectives: The paper addresses the issue of digital readiness for business, with the aim of examining similarities and differences in the digital readiness of European Union countries. The main focus is on identifying the changes during the first two years of the pandemic. Methods/Approach: We conducted a factor analysis and hierarchical cluster analysis based on selected indicators. The results revealed some significant differences. Results: While the countries that lead in digital readiness remained the same, there were relatively large differences in the classification of other EU countries. Some countries, such as Latvia or Slovenia, significantly improved in many aspects of digital readiness during the pandemic. On the other hand, Bulgaria and Romania are still included in the same cluster, representing an overall low digital readiness. Conclusion: Enterprises in more developed countries also have a higher level of digital readiness. Although COVID-19 had a positive impact on digital readiness in some less developed countries, the impact is only partial, indicating a need for stronger actions to bridge the digital divide at the EU level. These findings provide a hopeful outlook, suggesting that with the right actions, the digital divide in the EU can be effectively bridged. [ABSTRACT FROM AUTHOR]

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

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

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]

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

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]

Introduction: With the rapid development of digital technology and its deep integration with environmental and ecological fields, the digital economy has become an effective way to guide the transition of cities to an eco-friendly model. However, empirical studies on the nonlinear spatial effects between digital economy and ecological welfare performance are still insufficient. Methods: Based on the panel data of 270 prefecture-level cities in China from 2011 to 2020, this paper empirically examines the impact of the digital economy on the ecological welfare performance of cities and its mechanism of action using spatial econometric modeling. Results: The promotion effect of digital economy development on the ecological welfare performance of cities is characterized by the "J" shape of increasing marginal effect, and the spatial spillover effect on the ecological welfare performance of neighboring cities is the inverted "U" shape of inhibiting first and then promoting later. The mechanism test shows that the development of digital economy can enhance the ecological welfare performance of cities through the marginal incremental promotion of green technological innovation in local and neighboring cities and has a positive spatial spillover effect. The development of digital economy can have a direct U shape effect on local ecological welfare performance by influencing factor allocation efficiency and energy utilization efficiency. It also has an inverted U-shaped spatial spillover effect. Environmental regulation has an inverted U-shaped moderating effect on the local eco-welfare performance affected by the digital economy. As the level of rural revitalization increases, it produces a U-shaped moderating effect of inhibiting. Heterogeneity analysis reveals that digital economy development has a more significant facilitating effect and a positive spatial spillover effect on the ecological welfare performance of cities in central China. Discussion: This paper will provide a reference for the synergistic optimization of digital economy development and ecological welfare performance among regions. The findings of the study will promote the development of digital economy and accelerate the realization of the goal of "Beautiful China". [ABSTRACT FROM AUTHOR]

Based on the theory of social capital and strategic revolution, this paper selects 3006 family enterprises in China from 2015 to 2020, establishes a fixed effect panel model, and discusses the impact of the digital economy on the green innovation efficiency of family enterprises from the perspective of rationalization and upgrading of industrial structure. It is found that the relationship between digital economy and green innovation efficiency of family enterprises is inverted U-shaped. The digital economy affects the green innovation efficiency of family enterprises by promoting the rationalization and upgrading of industrial structure. The inverted U-shaped relationship between the two is more significant in the eastern region, the first and the second echelon provinces. Therefore, this paper improves green innovation efficiency of family enterprises from three aspects: digital economy, rationalization and upgrading of industrial structure, so as to finally realize the evergreen and sustainable development of family enterprises. It provides important policy implications for China to realize the green economic transformation and the goals of "carbon peak" & "carbon neutrality" under the global digital tide. [ABSTRACT FROM AUTHOR]

As we stand on the cusp of what Schwab claims to be the Fourth Industrial Revolution (4IR), the world of work is undergoing a rapid and profound transformation. Zimbabwe strives to ready its labour market for the seismic changes already underway. In order to thrive in the future of work, the World Economic Forum advises that a country must educate its populace in Science, Technology, Engineering, and Mathematics (STEM) fields. Unfortunately, Zimbabwean women remain underrepresented in STEM professions, with a mere 28.79 percent of women holding STEM degrees, compared to 71.21 percent of men. These statistics underscore the urgent need to educate more women in STEM fields. This paper addresses the bigger question: "Is Zimbabwe ready for the future of work"? To this end, this paper offers a nuanced analysis of the 4IR and its implications for Zimbabwe's future of work. Drawing on primary and secondary literature, we map out women's barriers and propose strategies to overcome them. This paper uses an integrative literature review, making a valuable novel contribution to the burgeoning literature on the intersection of the 4IR, gender equality and the future of work in Zimbabwe. The paper showcases that Zimbabwe is unprepared for the changing nature of work and needs to increase women's participation in STEM subjects. By empowering Zimbabwe's women in STEM fields, we can ensure that they can thrive in the future of work and that Zimbabwe can participate fully in the digital economy. [ABSTRACT FROM AUTHOR]

With the continuous advancement of the new generation of information technology revolution, digital economy is gradually becoming an important driving force for energy transition while restructuring the new form of the economy. This paper selects panel data of 30 provinces in China from 2011 to 2021, empirically verifies the special impacts of digital economy on green- oriented transition of energy by using the spatial Durbin model, and further constructs a multi-intermediary model to verify its transition pathways. The main findings are as follows: First, the overall level of green-oriented transition of energy in China's eastern coastal areas is relatively high, and the western regions have been more capable of catching up in recent years. Second, digital economy has played a significant role in promoting green-oriented transition of energy, and there is a positive spatial spillover effect. Third, digital economy could indirectly promote the green-oriented transition of energy by promoting the upgrading of industrial structure, improving the level of technological innovation and strengthening environmental regulations. This study provides empirical insights and reference for policymakers in accelerating the comprehensive green-oriented transition of energy. [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]

Energy efficiency is crucial for achieving a balance between economic growth and sustainable development. As carbon-neutral targets continue to gain momentum, green investments are becoming increasingly important. Therefore, it is critical to investigate the relationship between green investment and energy efficiency. This paper aims to fill a gap in the macroeconomic literature by using a generalized method of moments (GMM) technique based on panel data from 30 provinces in China from 2006 to 2019. The econometric results indicate that green investment is positively associated with energy efficiency. Additionally, green investment indirectly promotes energy efficiency by fostering technology innovation and research and development (R&D) intensity. The results also suggest that more advanced digital development is linked to improvements in energy efficiency. Furthermore, regions characterized by higher levels of digital economy exhibit a more pronounced contribution of green investment to energy efficiency. Based on these findings, this paper provides valuable insights for Chinese policymakers on green investment and low-carbon development. [ABSTRACT FROM AUTHOR]

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

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]

Copyright of Economic & Regional Studies/Studia Ekonomiczne i Regionalne is the property of Sciendo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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]

Under the new development model, the digital economy has become a new engine to promote the green development of the economy and realize the goal of "double carbon". Based on the panel data of 30 provinces in China from 2010 to 2020, this paper empirically investigates the impact of the development of the digital economy on energy and carbon emissions using a series of econometric models such as baseline regression, a mechanism test, and the spatial Durbin model, etc. Common prosperity plays an intermediary role between digital economy development and carbon emissions; digital economic development optimizes resource allocation, effectively solves the problem of uneven resource distribution, and reduces energy and carbon emissions while achieving common prosperity. In addition, green innovation, industrial structure, urbanization level, R&D intensity, and the degree of marketization also have different degrees of influence on energy and carbon emissions. Therefore, the government should accelerate the construction of new digital infrastructure and implement the digital economy development strategy according to local conditions, so as to promote the digital economy to produce a more significant carbon emission reduction effect. [ABSTRACT FROM AUTHOR]

In this paper, 22 indexes are selected at three levels, including the informatization development level, the Internet development level, and the digital transaction development level, based on China's provincial panel data from 2011 to 2020, so as to build a digital economy development index system. Moreover, 28 basic indexes are selected from three aspects, including energy construction, energy production and energy consumption, so as to develop an energy economy development evaluation index system. The development index of China's digital economy and energy economy are measured by using the entropy weight method. The effect of the digital economy on the energy economy and its mechanism are tested by the static panel, the dynamic panel, and the mediating effect and regulating effect models. The results indicate that the digital economy has pronouncedly promoted the development of China's energy economy, and the development of the digital economy can have an effect on the rationalization of the industrial structure and then affect the development of the energy economy, and there is an intermediary effect. Moreover, the upgrading of the industrial structure is conducive to regulating the digital economy and facilitates the development of the energy economy. The development of the energy economy can be better promoted by focusing on the coordinated regional layout of the digital economy development, building a reliable energy commodity trading platform, and expediting the optimization and upgrading of the industrial structure. [ABSTRACT FROM AUTHOR]

The object of research is the use of Digital Twin (DT) technology in the manufacturing sector and its impact on sustainability. The scientific problem addressed is the identification and quantification of the potential advantages and challenges associated with the adoption of DTs at operational, tactical, and strategic levels, particularly in the context of sustainable development. The paper investigates how DTs can redefine the measurement of sustainable development and diversify implementation within manufacturing infrastructure. The study concludes that DTs are a sophisticated technology that enables manufacturers to create precise virtual replicas of physical products or processes. This helps in optimizing resource utilization, reducing energy consumption, and minimizing waste, thereby promoting sustainability. Main DT clusters and common uses highlighted by the authors demonstrate huge impact on energy efficiency, waste management, sustainable design, logistics emissions reduction, water conservation, and stakeholder engagement. It is proved that DTs simulate and analyze complex systems, enabling the evaluation and improvement of sustainability levels. The paper presents promising practical examples of DT’s use, such as optimizing warehouse management in Ukraine, automating robots for increased efficiency, and aiding in the post-war reconstruction of cities with a focus on environmental friendliness and accessible infrastructure. The research specifically focuses on the top five tech giants and their use of DTs to drive sustainability. Additionally, the findings project substantial market growth potential for DTs in multiple sectors, emphasizing the urgent need for industries to integrate DTs into their sustainability strategies. [ABSTRACT FROM AUTHOR]

This paper examines the coupling coordination degree between digital economy and green technology innovation in 19 urban agglomerations across China from 2011 to 2020. Through the analysis of the coupling coordination degree model, spatial autocorrelation, multi-distance spatial clustering analysis, kernel density analysis and grey correlation model, this study uncovers the mechanism of coupling between digital economy and green technology in Chinese urban agglomerations. Data analysis revealed a significant increase in the coupling coordination between the digital economy and green technology innovation within urban agglomerations. However, there are noticeable spatial imbalances in this trend. Additionally, the multi-distance spatial distance analysis highlights a shift from a random distribution to a clustered distribution of spatial characteristics. The polarization features vary among each urban agglomeration and exhibit a significant positive spatial correlation. Factors such as economic sustainability, creative talent, policy support, digital impetus, and technological support will affect the coupling mechanism of green technology innovation and the digital economy in China's urban agglomerations. Policy recommendations are proposed to foster the development of the digital economy, promote coordinated growth within and beyond urban clusters, and ultimately build a digital ecological civilization that is both green and intelligent. [ABSTRACT FROM AUTHOR]