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The Guidelines on Building a Market-Oriented Green Technology Innovation System, which was released by China in 2019, has become a powerful signal to guide the development of green technology innovation (GTI). In the current digital strategy of China, the public media has become a key factor for promoting the transparency of enterprise environmental information. This paper measures the GTI efficiency of the listed paper enterprises in China as well as incorporating media attention into the research framework to explore the influencing factors of GTI of the listed paper enterprises in China during the digital economy era. The results showed that a positive media report had a positive impact on GTI and has become a new driving factor in promoting sustainable production in the digital era. Government support and openness also have a positive impact on GTI. However, negative media reports, environmental regulations, and technological innovation abilities have an inhibitory effect on the GTI efficiency of paper making enterprises. [ABSTRACT FROM AUTHOR]

The SPE Automotive Composites Conference & Expo (ACCE) is calling for papers, exhibitors, and sponsors for 'Driving Innovative Transportation,' the theme for its 20th anniversary event emphasizing polymer composites as [...]

Concerns about sustainability challenges are growing. Companies are under pressure to rethink existing innovation paradigms. In this context, research interest in the resource-constrained innovation concept, frugal innovation, has increased. In this paper, we examine the impact of frugal innovation on the economic, social, and ecological sustainability dimensions by conducting a systematic literature review of 44 papers. We find that frugal innovation is a promising approach to promote sustainable development from an economic perspective and a social perspective. Nevertheless, positive and negative effects exist in all three dimensions. Thus, a positive relationship is not inherent but must be proactively formed. External factors can influence the impact of frugal innovation on sustainability. For future research we recommend (1) establishing a unified understanding of frugal innovation through a clear definition, (2) broadening the research focus to a global perspective, (3) assessing the impact of frugal innovation along the entire product life cycle, and (4) investigating characteristics that make frugal innovation sustainable. [ABSTRACT FROM AUTHOR]

In the context of bank digitalization construction, this paper explores the impact and mechanism of bank digital transformation on corporate green innovation based on the data of listed enterprises from 2010 to 2021. It is found that bank digital transformation enhances the overall and strategic nature of corporate green innovation but has no significant impact on corporate substantive green innovation. The mechanism analysis shows that bank digital transformation can promote corporate green innovation by inhibiting corporate financialization and alleviating corporate financing constraints. Government environmental regulation and media attention have a positive moderating effect on the relationship between banks' digital transformation, and enterprises' green innovation, i.e., an increase in the level of government environmental regulation and an increase in media attention will strengthen the promotion effect of banks' digital transformation on enterprises' green innovation. Heterogeneity analysis shows that the promotion effect of banks' digital transformation on corporate green innovation is more significant for state- owned enterprises, heavily polluted enterprises, large-scale enterprises, and enterprises in the eastern region. Therefore, the digital transformation of banks can "empower" the green innovation of enterprises, help the green development of enterprises, and lead the high-quality development of the economy. At the same time, the study's results also show that the green development of enterprises should not be "superficial" but "substantial." [ABSTRACT FROM AUTHOR]

The rapid increase in the number of older people under the background of population aging has gradually changed the disease spectrum of society, making aging diseases more prevalent, and increasing the demand for health care services, medical and health services, and health insurance among older people, ultimately leading to increasing household and social spending on old age. This study is conducted to assess the impact of those spending burden on the sustainable development of economy and find out some practical and effective solutions. This paper constructs a theoretical model to illustrate the relationship between the old-age dependency ratio and the marginal product of capital (MPK), and then establishes a two-way fixed effect model based on transnational panel data of 81 countries from 1981 to 2017 to verify this relationship empirically. This paper finds that, after controlling a series of variables, an increased burden of old-age dependency leads to a decline in the MPK, a key macroeconomic variable and also a sustainable development criteria, but in which health care, health security systems, and technological innovation play a key and moderating role. The conclusion is also valid after tackling the problem of endogeneity with different methods, like two-stage least squares (TSLS) and the generalized methods of moments (GMM). Overall, before population aging, countries that are old-but-not-rich should encourage more supply-side investments in public health system or technological innovation, and adjust retirement system, or gradually encourage childbearing to strive for time and space for later sustainable development of public health system and economy. [ABSTRACT FROM AUTHOR]

Simultaneously achieving economic development and environmental protection is a shared global challenge. While the positive effect of environmental regulations on protecting the environment has been widely recognized, the attention paid to low-carbon governance and corporate green transformation remains insufficient. Based on the two-stage least square regression model (2SLS) of instrumental variables, this paper utilizes panel data from China to identify the influence mechanism of government low-carbon governance on enterprise green development. It explores the effect of low-carbon governance on enterprise green development from the perspective of fiscal decentralization. The findings show that (1) Low-carbon governance significantly promotes corporate green development, primarily through improving industrial structure and technological innovation; (2) Low-carbon governance notably promotes the green development of private enterprises but has little effect on state-owned enterprises. There are also geographical differences, and the results are better in Eastern China than in the Central and Western parts of China; (3) Fiscal decentralization at both central and local levels inhibits the effect of low-carbon governance on driving corporate green development by causing a mismatch of human resources. Therefore, to promote corporate green development, low-carbon governance must prioritize green development, actively guide industrial structural upgrading and enterprise technological innovation, implement differentiated low-carbon governance measures tailored to different ownership enterprises, and optimize the assessment indicators for fiscal decentralization. This paper helps deepen the understanding of the relationship between government low-carbon governance and enterprise green development in developing countries. It can be used as a reference for government departments to formulate relevant policies. [ABSTRACT FROM AUTHOR]

Although the effect of highways on economic growth has been widely discussed, its role in green technological innovation has not yet attracted attention facing today's strong emphasis on the green economy. To fill this gap, this paper aims to provide empirical evidence by investigating the effects of highways on regional green technological innovation in China. The paper elaborates theoretically on three mechanisms through which the development of highways may influence regional green technological innovation, namely the agglomeration effect, spatial spillover effect, and network effect. To advance the empirical analysis, this paper constructs a spatial Durbin model accounting for spatial interdependencies among regions. Unlike previous literature, this paper uses "the strength of economic linkage" to indicate the development of highways in each city and discusses geographic distance and time-distance effect (spatio-temporal effect) resulting from highways. Using panel data of 105 prefecture-level cities in China's Yangtze River Economic Belt from 2001 to 2013, we find that: (1) highway has a significant role in promoting regional green technological innovation; (2) significant spatial spillover effects resulting from highways exist and the magnitude of the influence varies with geographical and temporal distance effect. Our findings provide references for developing transportation infrastructure and green innovation in China. [ABSTRACT FROM AUTHOR]

Amidst growing environmental challenges linked to coal dependence, fostering green innovation in new energy enterprises is vital for sustainable development in China. Although there have been studies on green innovation of new energy enterprises in recent years, few studies have been conducted from the perspective of ESG, whether informal environmental regulation represented by ESG can stimulate the green innovation of new energy enterprises is of great significance to China's construction of a low-carbon and secure energy system. In this paper, from the perspective of informal environmental regulation, based on the ESG ratings of SynTaoGreen Finance's first public newenergy listed companies as an exogenous shock, and taking A-share new energy listed companies as a sample from 2010 to 2021, we empirically verified the effect and mechanism of ESG ratings on the green innovation of new energy companies in terms of the quantity and quality of green innovations by utilizing the Staggered Difference-indifference (DID) model. The findings demonstrate that new energy enterprises' green patent numbers and quality are greatly enhanced by ESG grading. However, there is clear heterogeneity in this green innovation effect, which is particularly visible in new energy firms with state-owned enterprise and greater enterprise scales and a higher level of digitization. The Mechanistic findings suggest that ESG ratings drive green innovation by alleviating financial constraints, reducing agency risk, and boosting R&D, thus providing empirical evidence for the development of a green innovation ecosystem in the new energy industry. [ABSTRACT FROM AUTHOR]

Green production is crucial in promoting sustainable agricultural practices, ensuring food safety, and protecting the rural ecological environment. Farmers, as the main decision makers of agricultural production, and their green production behaviors (GPBs), directly determine the process of agricultural green development. Based on the survey data of 656 apple growers in Shaanxi and Gansu provinces in 2022, this paper uses a graded response model to measure the information acquisition ability (IAA) of farmers and constructs an ordered Logit model to empirically explore the influence mechanisms of IAA, green benefit cognition (GBC), and new technology learning attitude (NTLA) on farmers' GPBs. The results show the following: (1) IAA has a significantly positive impact on the adoption of GPBs by farmers, and farmers with a high IAA are more conscious to adopt green production technologies; (2) in the process of IAA affecting farmers' adoption of GPBs, GBC plays a positive mediating role; (3) NTLAs have a positive moderating effect on the process of GBC affecting farmers' GPB adoption; (4) there are generational, educational and regional differences in the impact of IAA on farmers' GPBs. Policy makers should improve rural information facilities, strengthen agricultural technology promotion and training, improve farmers' IAA and benefit awareness level, and formulate relevant policies to mobilize farmers' enthusiasm for learning new technologies. [ABSTRACT FROM AUTHOR]

Resource-based regions support national economic development and are essential sources of basic energy and raw materials. In the post-pandemic era, however, there are practical situations to deal with, such as a fractured industrial chain, a weaker industrial structure, and a sharp reduction in economic benefits. Based on data collected from 68 cities in China, from 2010 to 2021, with 816 observations, this paper explores the industrial development process of resource-based regions in China and the change in the toughness of the industrial structure under the impact of COVID-19. The paper studies and analyzes industrial development trends, industrial structure toughness, and spatial spillover effects. The methods used are the Markov chain model and the Industrial Structure Advancement Index. By building the spatial Dubin model, the paper analyzes the spatial spillover effect of regional industrial development. It decomposes the spillover effect using the partial differential model based on regression. The results show that, during the study period, the comprehensive development level of industries in resource-based regions in China was slowly improving and tended to stabilize after entering the post-pandemic era. The evolution of an advanced industrial structure is significantly heterogeneous among regions, and each region has different toughness. The impact of COVID-19 has reduced the toughness of China's resource-based regions' industrial structure. The spatial spillover effect of regional industrial development is significant. Labor force, technology input, and industrial-structure optimization have different impacts on the industrial development of neighboring regions. In the post-pandemic era, China has used new management methods for more innovation. In order to achieve low-carbon, environmental protection, and sustainable development of resources, realize the rapid recovery of the toughness of industrial structure in China's resource-based cities, and reduce the impact of the COVID-19 pandemic, China proposes to expand the supply of resources, improve the allocation of resources, optimize the direction, promote the rational flow and efficient aggregation of various factors, and enhance the impetus for innovation and development. [ABSTRACT FROM AUTHOR]

This document is an editorial titled "Insights in ecological economics: 2022" by Massimiliano Mazzanti. The editorial discusses the importance of the ecological transition in guiding economic and human development. It emphasizes the need for technological, organizational, and social innovations to promote well-being and avoid inequalities. The editorial also highlights the role of policy drivers, such as the UN's 2030 Agenda for Sustainable Development and the EU's European Green Deal, in facilitating these transitions. The document concludes by mentioning four papers that address different aspects of the research agenda on sustainability and offer diverse insights and methodologies. [Extracted from the article]

With the increasing prominence of climate and energy issues, enterprises, as the micro-subjects of economic activities, need to pay attention to environmental responsibility to promote sustainable and high-quality economic development. However, one of the crucial controversies is whether enterprises will sacrifice efficiency to fulfill their environmental responsibilities. To try our best to answer the controversy, this paper explores the impact of ESG on total factor productivity and its mechanism. The research conclusion shows that Chinese enterprises fulfilling ESG responsibilities can improve staff efficiency, reduce financing costs, ease financing constraints, and increase innovation investment, thus effectively improving total factor productivity. Compared to non-state-owned enterprises, this effect is more significant in state-owned enterprises. In addition, the promotion of ESG construction on the total factor productivity of enterprises also presents specific acceleration characteristics. This shows that in the socialist market economy environment, there is an obvious "social responsibility dividend" in the implementation of the ESG concept by Chinese enterprises, which is helpful to enhance their long-term value and realize a win-win of social value and commercial value. The conclusions of this study help deal correctly with the relationship between business value and social value of enterprises and provide inspiration for promoting healthy and sustainable economic development. [ABSTRACT FROM AUTHOR]

In recent years, the intensification of global industrialization coupled with the enterprise's production and operating activities have caused pollution, increasing the current environmental pressure. Relevant government departments in China have instituted several stringent measures (environmental protection sensitization and awareness activities, training sessions, and exchange activities targeted towards enterprise managers) to address these rising environmental problems. Though these measures have gained traction over the years, there is a dearth of research on their effectiveness on the green innovation performance of enterprises. To bridge the gap, this research explores the effect of environmental awareness training, knowledge exchange activities, and commitment on green innovation performance with survey data from 285 medical equipment manufacturing companies in China. It further expands the theoretical application of environmental awareness training, commitment, and innovation performance from the lens of the Knowledge-Based View. The findings depict a positive relationship between environmental awareness training and innovation performance. It also finds a mediating influence of environmental commitment in the relationship between environmental awareness training and green innovation performance. Furthermore, environmental knowledge exchange activities positively moderate the relationship between environmental awareness training and environmental commitment. These findings offer valuable insights for the green development of medical equipment manufacturing enterprises and the government to formulate environmental protection policies. [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]

Water is an essential service for the sustainable development and economic competitiveness of any country. The global water demand has increased substantially due to economic development, climate change, and rising population. The Internet of Things (IoT) and Information and Communication Technologies (ICT) can help conserve available water resources. Smart cities apply IoT to boost the performance and efficiency of urban facilities. Smart cities are towns created to use IoT and ICT (innovative technologies) such as smart water applications. Several studies on smart water technology have been conducted, but there is a need to review current research that leverages the IoT as a communication technology to design effective smart water applications. This review paper is aimed at presenting evidence on the current design of smart water applications. The study also covers publication statistics to increase collaboration between stakeholders. Findings show that various technologies such as microcontrollers, embedded programming languages, sensors, communication modules, and protocols are used by researchers to accomplish their aim of designing IoT-based smart water solutions. None of the publications employed the 5G mobile networks as a communication module for their smart water application development. Findings further show that the integration of 3D printing and solar energy into IoT-based smart water applications is revolutionary and can increase the sustainability of the systems. Future directions required to ensure that developed smart water applications are widely adopted to help conserve and manage water resources are suggested. [ABSTRACT FROM AUTHOR]

With the new challenges and crises facing agriculture, digitalization and green transformation have become important ways to solve the problems. This paper uses an international economics perspective to chart a new path for sustainable agricultural development. Specifically, it analyzes whether two-way international direct investment (FDI) can facilitate agricultural digital-green fusion(DGF)? Using a sample of 31 provinces (autonomous regions) from 2012 to 2021, this study finds: (1) Two-way FDI can significantly contribute to agriculture's DGF. (2) In the mechanism test, it is proved that two-way FDI can promote agriculture's DGF level by promoting green technology innovation capacity and overall regional technology innovation capacity. (3) The positive effects of two-way FDI are prominent in the eastern and central regions, coastal regions, and economically developed areas. (4) In the spatial Durbin model, the local two-way FDI growth improves agriculture's DGF level in the surrounding areas to a certain extent. The government is advised to prioritize openness, foster an environment for technological innovation, leverage spatial radiation for agricultural DGF, and advance digitally empowered agricultural modernization. [ABSTRACT FROM AUTHOR]

How heavily polluting enterprises achieve sustainable development has become an urgent issue to be solved. Based on the data of Chinese heavily polluting listed enterprises during the period of 2010–2020, this paper adopts the probit method to examine how heterogeneous environmental regulations affect green merger and acquisition (GMA) decision, and propensity score matching and difference-in-differences method to explore innovation performance of GMA. The findings are as follows: (1) Command-and-control environmental regulation (CMCER) can promote GMA, while there exists a U-shaped relationship between market-based environmental regulation (MBER) and GMA; (2) from a dynamic perspective, it turns out that GMA can promote green innovation (GI) in the first and second post-acquisition year, but this effect disappears in the third year; (3) compared with CMCER, MBER has a more pronounced positive effect on the relationship between GMA and GI; (4) heterogeneous analysis indicates that the above GMA performance is more persistent when the acquirer is state-owned, with high media attention, with high internal control or engages in vertical GMA. The findings further enrich the literature on GMA driver and performance and provide references for optimizing ER policies and promoting corporate sustainable development. [ABSTRACT FROM AUTHOR]

Based on the panel data of 625 industrial listed enterprises of China from 2012 to 2020, this paper employs the method of propensity score matching–difference in difference to investigate the effect of financial–industrial integration on the enterprise's green development performance and the moderating role of green technology innovation on the relationship between the two is also addressed. It finds that first, financial–industrial integration has a significant promoting effect on the improvement in green development performance of enterprises, and green technology innovation has a positive moderating effect on the relationship between the two. In addition, the effect of financial–industrial integration on enterprise's economic and social performance is not significant, and it mainly promotes enterprise's green development by stimulating environmental performance. Moreover, the degree of financial–industrial integration has a moderate range in which the role of financial–industrial integration can be better played. Further, compared with state-owned enterprise and large-scale enterprise, financial–industrial integration is more conducive to the green development of non-state-owned enterprises and small-scale enterprises. [ABSTRACT FROM AUTHOR]

In the context of the rapid development of the global digital economy, it is of great significance to explore the greening transformation of the manufacturing industry from the micro-perspective of enterprise digital development. This paper empirically examines the impact and mechanism of enterprise digital development on the greening transformation of the manufacturing industry using the 2010–2020 data of Chinese A-share listed companies in the manufacturing industry as a sample. The study shows that enterprise digital development can significantly promote the greening transformation of China's manufacturing industry, and this conclusion still holds after a series of robustness tests. Technological innovation and financing constraints are important mediating mechanisms. Further research found that the impact of enterprise digital development on the greening transformation of China's manufacturing industry has a positive nonlinear effect, and its marginal effect shows a weakening trend. Heterogeneity analysis shows that, from the perspective of micro characteristics, digital development is more able to promote the green transformation of state-owned and large enterprises. From a macro-regional perspective, digital development can better promote the green transformation of the manufacturing industry in eastern cities, key city clusters, and high-level cities. The findings of this paper can provide corresponding insights for "revitalizing the manufacturing industry", and also provide decision-making references for countries aiming to make the manufacturing industry bigger and stronger. [ABSTRACT FROM AUTHOR]

This paper presents an in-depth research analysis on the evaluation of the development quality of regional economy through an improved convolutional neural network algorithm, and uses it to design a fuzzy comprehensive evaluation model for the practical process. Based on the measured indices of different variables, a spatial econometric model is constructed and provincial panel data are selected to empirically analyze the impact and spatial spillover effects of financial agglomeration and technological innovation on regional economic quality development from both static and dynamic aspects and to examine the spatial correlation of the factors. A new serial data flow model is adopted, which optimizes the control of data flow in convolutional computation, reduces the percentage of clock cycles used to read memory data, and increases the computational efficiency. At the same time, with dynamic data caching, a convolutional computation can be completed in one clock cycle, reducing the memory capacity required for caching intermediate data. The effectiveness of the evaluation system constructed in this paper is further tested. Most of the indicators have a significant positive or negative impact on the quality level of economic development, and the direction of the impact is consistent with the positive and negative attributes of the indicators in this study, which verifies the validity of the evaluation indicator system constructed in this paper. In summary of the study, effective suggestions are made in terms of human capital investment, reasonable allocation of fiscal expenditure, enhancing regional greening development and improving risk prevention measures. [ABSTRACT FROM AUTHOR]

Yu, H.; Wang, Y., and Li, D., 2023. Using the AHP-entropy weight method to study regional marine economy resilience in China. Journal of Coastal Research, 39(5), 960–969. Charlotte (North Carolina), ISSN 0749-0208. Marine economy has become an important part of China's national economy, but it is facing many constraints and disturbances from within and outside the region. Marine economy resilience can reflect to what extent the region will overcome these problems and achieve sustainable development. Nevertheless, evaluating marine economy resilience is a difficult task requiring considerable effort that is missing in the literature. This paper constructed the evaluation index system from the four dimensions of resistance, recovery, reorganization, and renewal and comprehensively used the analytic hierarchy process and entropy method to make a quantitative assessment of marine economy resilience in 11 coastal regions of China. Based on this, the paper then explored the spatial and temporal evolution of regional marine economy resilience. The evaluation results reveal that the overall level of China's marine economy resilience from 2006 to 2016 shows a fluctuating and rising trend. The resistance ability is generally in an upward fluctuating trend, the recovery ability fluctuates little but has no significant improvement, the reorganization ability also shows a fluctuating and rising trend, and the renewal ability has the largest increase in the four dimensions. This paper puts forward three suggestions for the coastal province governments to improve regional marine economy resilience in terms of technological innovation, green development, and coordinated opening up. [ABSTRACT FROM AUTHOR]

Under the influence of the dual policies of sustainable economic development and the national dual-carbon target, the establishment of an environmental protection department for the treatment of heavily polluting industries is imminent, and the country has launched pollution control policies and regulations to restrict the emission rights of heavily polluting industries. Therefore, this paper focuses on whether the restriction of emission rights in key industries has reduced carbon emissions. To achieve this, this paper uses panel data of prefecture-level cities in China from 2006 to 2019 and adopts a two-way fixed-effects DID model to systematically analyze the impact of the key pollution industry governance policies launched by the Ministry of Environmental Protection on CO2 emissions in 2017. And further analyze the role of variables such as green technology innovation patents and energy efficiency using this model, while parallel trend tests and placebo tests, and related policies are used to ensure the robustness of the regression results. This paper reveals that: (1) The heavy pollution industry governance policy implemented in 2017 can effectively reduce CO2 emissions in the cities of the treated group, and the effect is more significant in the year of policy implementation; (2) Green utility patents and energy-use efficiency are the effective mediating mechanisms to reduce CO2 emissions; (3) Over time, the effect of heavy pollution industry governance policy on CO2 emissions gradually decreases; (4) The reliability of the baseline regression results of this paper is proved by the use of parallel trend tests, placebo tests, and tests excluding the influence factors such as relevant policies in the same period. Therefore, the key polluting industries treatment policy launched by China's Ministry of Environmental Protection in 2017 under the recent dual-carbon policy development goals formulated by China, can effectively reduce carbon emissions; however, in the future economic development process, the government should give more consideration to the continuity of the policy impact and its coherence on economic development when implementing the policy. [ABSTRACT FROM AUTHOR]

The emergence of new transformational technology, known as the fourth industrial revolution, has crucially opened a new window to green economic growth. The transition to low carbon, green economy, and green sustainability has gained momentum simultaneously in developed and developing countries. The greening policy echoes the pending climate change and its entrenching disruptions. Financial technology, or FinTech seems to be a promising direction in unlocking the green dilemma; to be concrete, FinTech and the green economy are separately documented in the literature. Against this background, the current study investigates the intersection between green economic growth and FinTech by conducting a systematic-cum-bibliometric analysis of published papers in the Scopus database with the goal of first examining the role and opportunities of implementing green FinTech as a stimulus for transition towards green economic growth in African countries and, second, identifying knowledge gaps and future policy and research directions by developing an integrated framework to help African countries in the transition to green economic growth and green FinTech. The results illustrate an increasing trend in research attention towards the green FinTech concept and its relationship with green economic growth, climate change, and greening rules and standards. A deep inspection of the mined papers indicates that future research trajectories are oriented into five different mainstreams: technology and instruments in digital finance; regulation, policies, and green FinTech; climate risk mitigation through FinTech; FinTech and environmental quality; green finance and climate change mitigation. Based on these research directions, an integrated framework was conceptualised that aims to deliver green economic growth using FinTech as a vehicle of transition for African countries. [ABSTRACT FROM AUTHOR]

Currently, sport is considered an entertainment and leisure industry and includes activities such as athletics, water, and skiing. The influence of a sport event exceeds the event itself, which indicates the importance of a sport facility to the building and construction. A sport facility refers to a facility related to the sport industry, mainly including not only stadiums, swimming pools, and sport centers, but also water parks, ski resorts, and other amusement facilities. At present, there is a lack of comprehensive exploration of integrated building information modeling (BIM) with sport and facilities and performance of applications to help identify potential opportunities to support sustainable development. Therefore, this paper aims to explore the integration of BIM, sport, and facility by revealing the current research status and hotspots in the field, which identifies the development lineage and emerging areas of the research and highlights the development trends and directions for future research towards sustainable development. This paper adopts a quantitative research method to investigate the current research status, hotspots, emerging areas, development trends, and important directions in the integration of BIM, sport, and facilities from macro-quantitative perspectives via bibliometric tools, i.e., VOSviewer and CiteSpace software packages. The main findings of this paper are that the hot keywords on the integration of BIM, sport, and facilities are mainly focused on BIM, facility management, framework, management, sport, construction, and design. Moreover, over the past 26 years (year 1997 to 2022), hot keywords for each year have been revealed through keyword co-occurrence overlay visualization analysis and identified in five schemes, i.e., life cycle assessment, emerging technology, behavior and sport, health and wellbeing, and sustainable built environment. Furthermore, the application of deep learning, IoT, and immersive experience technologies are current hot topics which could provide more innovative breakthroughs for the integration of BIM, sport, and facilities in the future for sustainable development. [ABSTRACT FROM AUTHOR]

Previous studies on the relationship between environmental regulation (ER) and technological innovation efficiency of defence industry (TIE-DI) mainly focus on variability and complexity, while few empirical studies have incorporated environmental flexibility into models, and most of them are based on questionnaires. Therefore, this paper takes environmental regulation and environmental policy complexity (EPC) as the entry point, so as to discuss the feasibility of improving the technological innovation efficiency of China's defence industry enterprises (CDI), which aims to empirically test the mechanism of ER and EPC on improving the efficiency of applied technological innovation of China's defence industry enterprises. The research conclusion provides sufficient theoretical basis and empirical support for strengthening the technical innovation efficiency support, standardising the market order and the market leading, establishing the information disclosure mechanism and improving the internal control of industrial enterprises. [ABSTRACT FROM AUTHOR]

Information and communication technology plays an essential role in affecting CO2 emissions and promoting green and sustainable development. This paper empirically examines the effect of the level of urban ICT development on CO2 emissions using panel data for Chinese cities from 2010 to 2020. On this basis, a spatial Durbin model is used to analyze the spatial spillover effects of ICT development level affecting regional CO2 emissions, and its direct, indirect and overall effects are further analyzed. The conclusions of the study are as follows. (1) The CO2 emissions of Chinese cities are correlated by spatial distance and show high-high or low-low clustering characteristics. (2) ICT development can reduce CO2 emissions in the region and increase CO2 emissions in neighboring regions. This conclusion still holds after several robustness tests. And when the level of ICT development increases by 1 standard deviation, CO2 emissions are reduced by 64%. (3) The mechanism of action shows that ICT can influence regional CO2 emissions through its technological innovation effect and industrial upgrading effect. (4) The impact of ICT development on regional carbon emissions is characterized by significant heterogeneity depending on the city's geographical location and whether or not environmental information is publicly available. [ABSTRACT FROM AUTHOR]

The inexorable march of technological advancement, particularly within the digital domain, continues to exert a profound influence on global economies, societies, and governance frameworks. This paper delves into the intricate coordination between digital business and digital governance against the backdrop of sustainable development. By introducing an index system to gauge the levels of digital business and governance, this study assesses their coupling coordination using a coupling coordination model. Through this level of coordination, this paper assesses their respective contributions to the sustainable development objectives of EU countries through panel-corrected standard error (PCSE) estimates. The paper's findings underscore several key conclusions: (1) Notable upswings are evident in the composite indices for digital business and digital governance growth. Among these, the index of digital business has demonstrated the most pronounced surge. Furthermore, digital business has experienced a distinct upward trajectory in recent years. (2) Although observable, the rise of the coupling degree is restrained, with an overall coupling degree that remains relatively low. The coupling progression has transitioned from a stage of low-degree coupling to that of primary coupling, with EU countries demonstrating fluctuating rising trends in their coupling degrees, marked by conspicuous regional disparities. (3) Over the examined period, the extent of coordination between digital business and digital governance substantially impacts the Sustainable Development Goals (SDG) index. Focusing on the interplay and harmonization between digital business and governance offers a novel pathway toward attaining the objectives of the Sustainable Development Goals. [ABSTRACT FROM AUTHOR]

Low-carbon pilot city (LCPC) plays a pivotal role in stimulating green innovation among enterprises. However, relying solely on policy often proves less effective, necessitating support from financial development. Yet, current research frequently overlooks the impact of financial development on LCPC policy. Drawing on economic, management, and organizational psychology theories, we investigate the influence of the financial development level on enterprise green innovation in LCPC, utilizing data from listed companies between 2010 and 2018. The main finding is that LCPC facilitates institutional-level green innovation. Concurrently, financial development augments the effectiveness of LCPC policy, further expediting green innovation activities among enterprises in these pilot cities. Heterogeneity analyses reveal that financial development significantly promotes green innovation, particularly among state-owned enterprises, those with myopic management, non-high technology industries, and businesses in the southern region within LCPC. Mechanism tests identify enterprises' financing constraints and R&D investment levels as key pathways through which financial development fosters green economic development in LCPC. This study provides micro-level evidence from China elucidating the effects of environmental policies and offers practical implications for the low-carbon transformation of the manufacturing sector amid peak emissions and carbon-neutral targets. Additionally, it provides valuable guidance for other emerging economies seeking enhanced resource and environmental protection through the implementation of energy-saving and emission-reduction fiscal policy. [ABSTRACT FROM AUTHOR]

Sustainable rural development forms a robust foundation for economic and social sustainability. Moreover, the digital economy acts as a catalyst for advancing rural sustainable development by altering the distribution of production factors. Thus, this study concentrates on 30 provinces in China, constructing an evaluation index system for both the digital economy and rural sustainable development. The study employs various methods and models to analyze the spatiotemporal changes and driving factors affecting the coupling and coordination between these two aspects. The research findings are as follows: the coupling and coordination levels among provinces in China have been on the rise year by year. By 2022, the coupling and coordination levels of most provinces range between 0.5 and 0.6. Regional disparities are the primary determinant of the poor overall coupling and coordination level in China. In 2022, the coupling and coordination level in the eastern region is 0.6663, compared to 0.5420 in the central region and 0.5087 in the western region. Factors such as urbanization, industrial structure transformation, technological innovation, higher education, economic development, and government support significantly influence the coupling and coordination level. Nevertheless, their effects vary across regions, with a more pronounced impact in the eastern region than in the central and western regions. Therefore, this paper proposes policy recommendations, including infrastructure optimization, rural digitization promotion, regional resource allocation enhancement, cross-regional development mechanism exploration, and differentiated development strategy implementation. [ABSTRACT FROM AUTHOR]

The application of Industry 4.0 technology has substantial prospects for future innovation and corporate growth. This research study investigates the influence of Industry 4.0 technologies on the establishment of environmental sustainability in the manufacturing sector and other associated industries. Industry 4.0 and its associated technologies, including the Internet of Things (IoT) and cyber-physical systems, have a detrimental effect on environmental sustainability. This is due to factors such as air pollution, improper waste disposal, and excessive consumption of raw materials, information, and energy. The approach employed in this study is an extensive review of a literature review comprising 207 manuscripts that explore subjects pertaining to Industry 4.0 and environmental sustainability. Currently, there is a gap between the current and intended state of affairs. Production is happening in a paradigm that lacks sustainability, which is why this research examines the impact of Industry 4.0 on environmental sustainability and the relevant aspects of Industry 4.0. One of the objective of this study is to examine the notable advantages of Industry 4.0 in the context of sustainable manufacturing. The other objective of this study are to ascertain the specific tools and components associated with Industry 4.0 that have a role in promoting the progress of a sustainable ecosystem and to do a comprehensive analysis of existing literature to find out the effectiveness of technologies of Industry 4.0 in promoting environmental sustainability. This study identifies and examines 18 significant uses of Industry 4.0 that contribute to the development of a sustainable environment. This research shows that the convergence of Industry 4.0 and the sustainable development goals improves environmental sustainability by establishing ecological support that ensures superior environmental performance with a greater positive influence than previously. This paper aims to assist stakeholders and organizations in addressing current environmental concerns by implementing innovative technologies. This study is novel in that it illustrates the integration of Industry 4.0 and its technologies with sustainable development goals, resulting in a sustainable Industry 4.0 that combines environmental protection and sustainability. [ABSTRACT FROM AUTHOR]

Improving the energy efficiency of enterprises is one of the key means to solve the problem of energy shortage. It is of great significance to investigate how environmental information disclosure (EDI) promotes the green total factor energy efficiency (GTFEE) of enterprises. Based on this, this study calculates the GTFEE of enterprises by combining the database of Chinese manufacturing and the pollutant emission of industrial enterprises and investigates the impact of EDI on the GTFEE of manufacturing industries by using a difference-in-difference model. The following is found: (1) EDI can significantly promote the manufacturing enterprises' GTFEE, and the results are still valid after a series of robustness tests; (2) Mechanism analysis shows that EDI can improve the GTFEE of manufacturing enterprises by promoting technological innovation and optimizing energy structure; (3) The heterogeneity analysis shows that EID is more positive on firms' GTFEE in the eastern than western regions. The positive impact is greater for non-state-owned, low-energy consumption, export, and polluting enterprises. The findings of this paper provide a theoretical basis and practical enlightenment for the government to promote the green development transformation of enterprises. [ABSTRACT FROM AUTHOR]

Against the backdrop of global environmental challenges and sustainable development goals, this paper pioneers the application of social network analysis to the study of spatial associations in China's agricultural green development. It not only enhances the understanding of the spatial interconnectivity and network structural characteristics of agricultural green developments, but also captures the complex dependencies and interactions among provinces through a network lens, offering a fresh perspective on regional agricultural cooperation and competition. The study reveals: (1) The spatial network of China's agricultural green development displays strong overall connectivity and enhanced stability, with regional green development trends becoming increasingly interlinked and interdependent. (2) The network exhibits a clear hierarchical and core-periphery structure which, over time, shows signs of diminishing, indicating a narrowing of developmental disparities among regions. (3) Significant shifts in the roles and positions of provinces within the network occur due to the relocation of industrial focal points and adjustments in development strategies, highlighting the complexity of dynamic changes among regions. (4) The spatial association network can be divided into four main clusters: Net spillover block, Bidirectional spillover block, Net beneficial block, and Broker block, with significant gradient characteristics in the relationships between these clusters, suggesting directional and differential flows and exchanges of resources and information among regions. (5) Geographic proximity, economic development level, informatization, and agricultural technological advancement significantly influenced the development and structural evolution of the network. [ABSTRACT FROM AUTHOR]

Digital technology is regarded as providing a promising means of moving production and consumption towards the circular economy. However, it is still unclear which functions of digital technologies are most useful to improving circularity, and how these functions could be used to enhance different circular economy strategies. This paper aims to address this knowledge gap by conducting a systematic literature review. After examining 174 papers, creating 782 original codes and 259 second‐round codes, the study identifies 13 critical functions of digital technologies which are most relevant to circular economy strategies. The paper then proposes a framework which reveals seven mechanisms of how these digital functions can enhance different circular economy strategies. The framework also reveals which combinations of the digital functions and circular economy strategies have already been studied extensively as well as where there may be gaps. This indicates which digital functions are more mature in terms of possible implementation for circular economy as well as what missing links there are in the empirical and theoretical research. The study advances the synergies between digital technologies and the circular economy paradigm through the lens of digital functions. The proposed framework and mechanisms build a theoretical foundation for future research, and we highlight five research areas for further studies. This study also provides a structured way for managers to explore the appropriate digital functions for their CE strategies, so as to identify required digital technologies and new value creation through digital functions. [ABSTRACT FROM AUTHOR]

This article analyzes Green Jobs (GJs) in the energy sector. GJs are naturally created in the processes related to the implementation of the Sustainable Development Goals (SDGs); this is especially visible in the 7th and 8th SDGs. There is currently a green transition from fossil fuels to renewable energy sources in the energy sector, and this mainly technological change also influences GJ creation. Despite this, there is a research gap related to green self-employment and GJ definitions. The goal of this paper is to explore the scientific literature collected from the Scopus database using a qualitative approach to present areas and keywords related to GJs in the energy sector. The adopted method is a Structured Literature Review (SLR), with the original query Q1. The retrieved data results of the SLR method were analyzed in the form of bibliometric maps of co-occurring keywords generated by the VOSviewer software, together with tables showing clusters of keyword features. As a result, the pivotal keywords and their clusters were identified. In this study, the most important scientific areas of GJ research in the energy sector were also indicated. This paper presents the current state of knowledge and the evolution of the subject of GJs in the energy sector, which can be useful for both researchers and practitioners. In the last section of this paper, possible new directions of future studies on the subject of GJ creation in the energy sector are identified. The limitations of this research and its practical implications are also addressed. [ABSTRACT FROM AUTHOR]

Enhancing the level of coupling coordination between the digital economy (DIE) and carbon emission efficiency (CEE) is not only an inevitable choice for achieving the goals of energy conservation and emission reduction and promoting green development in China, but also a key path to implementing China's "Double Carbon" strategy. Based on the relevant statistical data of 30 provincial-level regions in China from the period covering 2011 to 2019, this paper empirically analyzed the coupling coordination between the DIE and CEE and its influencing factors. In this study, an improved coupling coordination degree (CCD) model was used to evaluate the degree of the coupling and coordinated development of the DIE and CEE in provincial regions of China. Finally, based on the Technology-Organization-Environment (TOE) framework, a fuzzy-set qualitative comparative analysis (fsQCA) method was employed to identify the realization path of the coupling and coordinated development of the DIE and CEE from the perspective of configuration. The results demonstrated that the coupling coordination between the DIE and CCE in China demonstrated a gradual upward trend, and exhibited regional differences, showing a decreasing trend of east > middle > west. Regarding the influencing factors, no single influencing factor could act as a necessary condition for the high CCD, the coupling and coordinated development of the DIE and CEE is a multifactorial synergy. There were five paths for the high degree of coupling coordination between the DIE and CEE, which were divided into three types: organization-environment-led type, environment-led type, and technology-organization-led type. Furthermore, technological innovation level and industrial structure could substitute for one another in some conditions, and environmental regulation and economic development level were synchronized. These conclusions provide a theoretical basis for countries to formulate policies to promote the coupling and coordinated development of their DIE and CEE. [ABSTRACT FROM AUTHOR]

The development of green finance and the promotion of green transformation and upgrading of high energy-consuming enterprises are of great significance for China to achieve the "double carbon" goal. This paper employs a dual fixed-effects model to examine the profound ramifications and intrinsic mechanisms of green finance development on the transformative innovation of high-energy-consumption enterprises, using a sample of 462 publicly traded high-energy-consuming corporations from the period spanning 2016 to 2020. The results show that the development of green finance promotes the transformation and innovation of energy-intensive enterprises and that market-incentivized environmental regulation plays a partially mediating role; the results of heterogeneity analysis show that green finance promotes the transformation and innovation of high energy-consuming enterprises with significant differences in different low-carbon pilot regions, company ownership, and enterprise size; the mechanism analysis shows that the development of green finance can increase government subsidies and alleviate financing constraints to promote the transformation and innovation of high energy-consuming enterprises; it is also found that the development of green finance can significantly improve the financial performance of enterprises. The research findings of this paper hold significant implications for promoting the sustainable development of green finance and high-energy consumption enterprises in China. They provide valuable insights and references for facilitating the green transformation and innovation of high-energy-consuming enterprises in China as well as other developing countries. [ABSTRACT FROM AUTHOR]

The establishment of the green belt and road is an inevitable choice to conform to and lead the green and low-carbon cycle development and an inherent requirement for sustainable development. Therefore, we establish an evaluation system of green development oriented to carbon neutrality, and calculate the green development level (GDL) of the provinces along the belt and road in China from 2003 to 2018 by using a three-dimensional evaluation model. In addition, this paper employs the Obstacle Degree Model to identify the main obstacle factors that affect GDL, and provides targeted and differentiated countermeasures and suggestions for improving the regional GDL. Our results suggested that the overall GDL has improved, but not obvious, with a low level. The GDL and coordination degree between different regions exist certain differences, and its spatial pattern is characterized by "high in southeast and northeast, low in southwest and northwest". From a regional perspective, innovation capacity is the key factor that affects the green development of the region in southeast, northeast, northwest and southwest China. Driving economic green transformation and promoting industrial energy conservation and emission reduction through technological innovation are the internal driving forces to achieve regional green sustainable development. [ABSTRACT FROM AUTHOR]

Enhancing environmental regulation (ER) is an effective way to improve the green innovation efficiency (GIE) of the Yangtze River Economic Belt (YREB) and the key to achieving the target of carbon peaking and neutrality. Using the data of 103 cities in YREB in 2013–2019, this paper explores the effect of heterogeneous ER on GIE. The results of the study are as follows: first, we categorize environmental regulations into formal and informal environmental regulations and explore their impact on green innovation efficiency separately. The results show that both formal and informal environmental regulations can effectively promote GIE in the YREB urban agglomeration. Second, the Spatial Durbin Model (SDM) model is used to analyze the spatial effect. The results show that there are spatial effects between heterogeneous environmental regulations and GIE, and environmental regulation can significantly strengthen GIE through positive spatial effects. Third, this paper uses the threshold model to explore the non-linear relationship between environmental regulation and green innovation efficiency. The results show that as ER increases, the positive effect on GIE increases, and this interesting finding holds for both formal and informal environmental regulations. Fourth, the mediating effect model is used to examine whether green technological innovation and industrial structure upgrading exert mediation effects on how environmental regulations affect GIE. The research results can provide effective policy recommendations to promote the green development of the cities in YREB. [ABSTRACT FROM AUTHOR]

Finding out how to scale innovations successfully is high on the agendas of researchers, practitioners and policy makers involved in agricultural development. New approaches and methodologies seek to better address related complexities, but none of them include a systematic perspective on the role of capacity in (partnerships for) scaling innovations. We posit that this has left an important topic insufficiently addressed in relation to partnerships for scaling innovations. The need to address this gap became apparent in the context of the CGIAR Roots, Tubers, and Bananas (RTB) Scaling Fund initiative. This paper presents how we explored ways forward in relation to this by combining three methodological approaches: The Five-Capabilities, Scaling Readiness, and the Multi-Level Perspective on socio-technical innovation. This combined approach—dubbed Capacity for Scaling Innovations (C4SI)—was applied in three projects related to scaling innovations for sweet potato, cassava and banana, involving five countries in Africa. It then discusses implications for a partners-in-scaling perspective, the contribution of scaling innovations to sustainable development, the importance of research organisations considering their own capabilities in partnerships for scaling, and the extent to which C4SI was helpful in the three cases—for example, in decision making. The paper concludes that a capacity perspective on the scaling of innovations should be an essential part of a 'science of scaling'. Finally, it provides recommendations for using the approach or parts of it in research and intervention practice for scaling, pointing in particular to the need for context-specific adaptation. [ABSTRACT FROM AUTHOR]

Public sector purchasing processes are gaining increasing prominence as a demand‐side innovation tool for addressing national sustainability challenges. Accordingly, there has been growing research attention to this topic. Prior studies suggest three key rationales that underlie the use of public sector procurement to drive innovation: (i) the buyer–user rationale (for creating new needs); (ii) the market/system failure rationale (for improving suppliers' capacity to innovate); and (iii) the public services rationale (for improving public services). However, operational activities at the upstream supply chain affecting the sustainable innovation capacities of supplier firms appear to be under‐researched in the public procurement for innovation (PPI) scholarship, despite knowledge about innovation capacity being critical to successfully implementing PPI. This paper adopts a systematic literature review approach to synthesise existing fragmented literature on sustainability‐oriented PPI, focusing on supplier perspectives. Findings from a synthesis of 41 relevant articles suggest, among others conditions, that a procurement framework that maintains a good balance of competition and innovation, builds buyer–supplier relationship and urges strong supply networks, maintains a stable political commitment, offers security for niche markets with effective innovation risk management culture would enhance suppliers' sustainability capacity and propensity to innovate. This paper contributes to the PPI literature and the literature on determinants of sustainable innovation systems from supplier firms' sustainability lens. [ABSTRACT FROM AUTHOR]

This study focuses on the objective assessment of sport development in socio-economic environments, considering the challenges faced by the industry. These challenges include disparities in regional investments, limited market participation, slow progress towards sports professionalization, and insufficient technological innovations. To tackle these challenges, we suggest implementing an integrated evaluation model that follows the DPSIR (Drivers, Pressures, States, Impacts, Responses) framework and incorporates comprehensive socioeconomic indicators. Subsequently, we utilized the Entropy power method and TOPSIS (Order Preference Technique for Similarity to an Ideal Solution, TOPSIS) analysis to comprehensively assess the progress of competitive sports development in 31 provinces and cities in China. Additionally, we recommended further developments in competitive sports and proposed precise strategies for promoting its growth. The framework and methodology developed in this paper provide an objective and scientifically based set of decision-making guidelines that can be adopted by government agencies and related industries in order to create successful plans that promote the sustainable growth of competitive sport. This is expected to bolster the nation's global influence, enhance social unity, and fuel economic expansion. The findings of this study offer policymakers valuable insights regarding competitive sports and can advance the development of the sports sector in China, thus making it a crucial driver of regional socio-economic progress. [ABSTRACT FROM AUTHOR]

As an essential material basis and power source for economic and social development, Western China's low energy use efficiency has hindered its sustainable economic development. This study aims to evaluate the total factor energy efficiency of the region and identify its influencing factors. A three-stage DEA model was used to measure the efficiency of 11 provinces from 2006 to 2021, and the Tobit model was employed to investigate internal factors. The findings show that (i) external environmental factors and stochastic perturbations have a significant impact on TFEE in the western region, overestimating integrated efficiency and scale efficiency and underestimating pure technical efficiency. (ii) the study of external influencing factors finds that the level of economic development increases input redundancy; the industrial structure increases capital input and labor input redundancy while decreasing energy input redundancy; and the energy consumption structure increases capital input and energy input redundancy while decreasing labor input redundancy. (iii) the study of internal influencing factors finds that the level of scientific and technological innovation, the level of openness to the outside world, and the TFEE have a positive correlation. In contrast, the intensity of environmental regulation has a negative correlation. [ABSTRACT FROM AUTHOR]

National and international organizations have introduced policies aimed at sustainable development. These policies are designed to encourage sustainable forms of business to meet the Sustainable Development Goals (SDGs) of the 2030 Agenda. Regional inequalities in sustainable development may be exacerbated by disparate levels of innovation. This paper analyzes the variations between clusters of countries according to the degree to which they have achieved the SDGs and their levels of innovation facilitators. Two types of analyses were employed. First, cluster analysis was used to examine changes in groups of regions with similar innovation characteristics between 2015 and 2020. Data for 122 countries were gathered from the World Bank, the SDG Index, and the Global Innovation Index. Second, multiple linear regression analysis was used to assess the power of the variables in the model to explain the level of sustainable development. The results reveal four clusters (low, medium, high, and very high innovative facilitators and sustainable development), as well as movements between those clusters from 2015 to 2020. The multiple linear regression analysis shows that the variables have explanatory power with respect to the dependent variable of sustainable development. This analysis also reveals different degrees of importance of the variables for each cluster. The findings highlight the need to consider the limitations of economic growth in terms of innovation facilitators to promote sustainable development. If policymakers recognize the limitations of economic growth and the physical ecosystem, degradation of the environment can be avoided, even when there is innovation. Global and individual social welfare can thus be ensured. This study offers valuable insights into how to achieve sustainable development through innovation facilitators by providing in-depth knowledge of the individual characteristics of innovation systems and considering the limitations of economic growth. [ABSTRACT FROM AUTHOR]

The quest for technological development as a solution for sustainable development is the genesis of the multidimensional conflict between sustainability, competitive innovation and technological progress. Albeit persistent cognisance for appropriate technology solutions for a specific issue, the debate on the choice between short-run solutions and sustainability, local or global development, awareness and consumption, political gains, and citizens' benefits remains inconclusive. This paper argues that the debate stems from misunderstanding the term sustainability and the strategic misrepresentation of technology for political gain. Concurrently, the inability of the market failure rationale to choose appropriate technology to minimise the divergence between the private and social benefit makes the policy formulation problem more intricate. Furthermore, despite increasing awareness regarding the environmental status, failure to alter their consumption pattern to reduce the energy requirement exacerbates the issues. These multidimensional aspects can obscure possibilities for true sustainability and socially deliberate technological futures. [ABSTRACT FROM AUTHOR]

In the past decades, resource shortage and environmental degradation due to rapid economic development have become a severe challenge while limiting China's regional sustainable and coordinated development. This paper provides a case study of Jiangsu Province in China employing the coupling coordination model and geo-detector model to seek solutions for realizing the region coordinated development from the interaction of technological innovation (TI ), industrial upgrading (IU ) and eco-environment (EE ). This study reaches the following conclusions. (1) The coupling coordination degree (D ) of TI - IU - EE system (TIIUEES) in Jiangsu Province was general in the stage of mild unbalance. (2) The D value exhibited a positive evolutionary trend in time series. However, the backwardness of EE constrained the regional coordination development, which led to the slow and small growth with fluctuation. (3) Spatially, the D value generally conformed to a gradient distribution from south to north, which was caused by regional internal extremely unbalanced development. (4) Economic benefits had a decisive effect on the coordinated development in TIIUEES, and the interaction of two factors could gain an "enhanced, bilinear" or even "enhanced, nonlinear" result. This study contributes to exploring the driving determinants of D value in TIIUEES based on the description of the temporal and spatial features and providing a credible reference for future research and decision-makers. [ABSTRACT FROM AUTHOR]

Industry 4.0 and Industry 5.0 have introduced a lot of innovative technologies in industrial plants, transforming them into complex digital systems. On the other hand, the importance of Energy Management Systems in industrial plants is growing for both sustainability and economic reasons, but the opportunity of Industry 4.0/5.0 technologies in enhancing energy management systems is not fully understood. Thus, this paper analyzes how Industry 4.0/5.0 technologies can be applied to meet the requirements of Energy Management Systems, focusing on each aspect such as design, monitoring, control, and budget planning. It identifies additional opportunities that arise with different levels of technological implementation, suggesting organic implementation steps. The final aim is to provide a comprehensive framework for fostering a strategic and conscious implementation approach of these tools in the Energy Management Systems of industrial plants, giving clear and comprehensive suggestions. [ABSTRACT FROM AUTHOR]

This paper focuses on how will capital markets look like in the future, identifying the new trends in this field. Given the fact that the main challenges of our time are finacing the transition to a green and low-carbon economy and dealing with digital disruption, the future capital markets will be digital due to innovation by technologies such as automated advice, robo-advisory service which involves a low cost of the financial advice service. Also the future of capital markets can be defined by the trading algorithms which quickly process information in high-frequency trading and by the distributed ledgers technology (DLT), which could change the backbone of the stock market, considering that modern technology enables stock markets to be faster and more complex than ever. As we gaze into the future of capital markets, one of the most promising trends is the utilization of AI to promote sustainability in finance. This paper delves into the transformative potential of AI in reshaping capital markets, highlighting emerging trends and its profound impact on promoting sustainability in financial ecosystems. So, the capital markets will undoubtedly evolve in the future as technological advancements, particularly the integration of new and traditional artificial intelligence capabilities, transform the financial ecosystem into a faster, smarter, and more efficient system. [ABSTRACT FROM AUTHOR]