What Myths about Green Technology Innovation and Financial Performance’s Relationship? A Bibliometric Analysis Review

Influence of financial accounting information transparency on supply chain financial decision-making

The study examines the ecological and economic effects of the Chinese environment supply chain financial decision-making recommendation systems from 2009 to 2021. Environment analytics has become essential for organizations because of the rapid growth of digital technology and data. This technology offers exceptional corporate performance and environmental sustainability opportunities. This research uses Spatial Durbin Models and mediation effect analysis to examine how environment adoption affects key company performance measures. It also discusses the differences between industry and business models. Environment technologies improve operating efficiency, customer happiness, and company value. According to findings, environmental technology may streamline operational operations, boost customer happiness, and generate value, improving financial performance. Big data has ecological benefits, according to the findings. Environment technology may reduce a firm's environmental effect by improving operational efficiency and allowing sustainable practices. Research shows significant industry and organizational differences. This highlights the need for ecological plans for each sector's needs. Big data also mediates, showing that the environment may affect other operational aspects and increase their impact. Data ethics and responsibility are crucial. The findings demonstrate that the climate may support sustainable behaviors and meet environmental sustainability goals. To better understand big data's revolutionary power. Enterprises must carefully manage and responsibly use this powerful tool to maximize its benefits and minimize its disadvantages. This research will shape environmental strategies and practices as digital possibilities present themselves to enterprises and society.

Strategic assessment model of smart stadiums based on genetic algorithms and literature visualization analysis: A case study from Chengdu, China

This paper leverages Citespace and VOSviewer software to perform a comprehensive bibliometric analysis on a corpus of 384 references related to smart sports venues, spanning from 1998 to 2022. The analysis encompasses various facets, including author network analysis, institutional network analysis, temporal mapping, keyword clustering, and co-citation network analysis. Moreover, this paper constructs a smart stadiums strategic assessment model (SSSAM) to compensate for confusion and aimlessness by genetic algorithms (GA). Our findings indicate an exponential growth in publications on smart sports venues year over year. Arizona State University emerges as the institution with the highest number of collaborative publications, Energy and Buildings becomes the publication with the most documents. While, Wang X stands out as the scholar with the most substantial contribution to the field. In scrutinizing the betweenness centrality indicators, a paradigm shift in research hotspots becomes evident-from intelligent software to the domains of the Internet of Things (IoT), intelligent services, and artificial intelligence (AI). The SSSAM model based on artificial neural networks (ANN) and GA algorithms also reached similar conclusions through a case study of the International University Sports Federation (FISU), building Information Modeling (BIM), cloud computing and artificial intelligence Internet of Things (AIoT) are expected to develop in the future. Three key themes developed over time. Finally, a comprehensive knowledge system with common references and future hot spots is proposed.

Examining the relationship between international digital trade, green technology innovation and environmental sustainability in top emerging economics

Ensuring preserving a sustainable environment is a crucial concern for individuals worldwide. In previous research, CO2 emissions have been used to measure environmental deterioration. However, in this study, we have expanded the scope to include carbon emissions and several other gases. This comprehensive measure is referred to as the ecological footprint (EFP). More significant international digital trade (IDT) has the potential to achieve several positive results, including reducing EFP (economic frictions and barriers), stimulating economic growth, and minimizing trade risk and volatility. These benefits can be realized by implementing structural reforms in significant production and development sectors. Green technology innovation (GTI) has the potential to make substantial progress in ecological quality and energy efficiency. Nevertheless, previous studies still need to adequately prioritize examining rising economies in terms of international trade diversification and GTI. This study examined the effects of IDT, GTI, and renewable energy consumption (REC) on EFP in BRICST countries. The study utilized data from the period between 1995 and 2022. The cross-sectionally augmented autoregressive distributed lag (CS-ARDL) model demonstrates that EFP negatively correlates with trade diversification, REC, and GTI in the long and short term. These countries have demonstrated a significant presence of eco-friendly products in their trade portfolios, and their manufacturing processes are shifting towards GTI. The objective is to enhance the REC sources and minimize EFP from consumption. Conversely, the increasing economic growth within this economic group has a compounding impact on the environment's decline since it amplifies the carbon emissions from increased consumption. To reduce the EFP level, the paper suggests increasing investment in GTI, promoting worldwide digital trade, and embracing renewable energy sources.

Influencing factors of environmental efficiency of strategic emerging industries and their power cooperation mechanism design

We investigate the influencing factors of environmental efficiency of strategic emerging industries (SEIs) and cooperative game mechanism design amongst diversified actors by using China's provincial panel data from 2004 to 2019. Firstly, we find that the following factors improve the environmental efficiency of SEIs: rationalisation of the industrial structure, proportion of the tertiary industry, government's ability to intervene in the economy and fairness and integrity of environmental law enforcement. Conversely, factors, such as intensity of ecological construction and environmental regulation, hamper the environmental efficiency of SEIs. Secondly, evolutionary game analysis indicates that the behavioural strategies of game decision-making subjects depend on the behavioural decisions of the relative actors, social supervision and government regulation, which work together in influencing the environmental efficiency of SEIs. {innovation, supervision} is the optimal equilibrium state of the game. Thirdly, simulation results show that in the absence of government regulation, foreign direct investment (FDI) slows down the speed of firms tending to the equilibrium state of green innovation. The potential gain and loss of social supervision on corporate behaviour is an important factor affecting government behaviour decision making. Governments prefer punishment tools in environmental regulation, therefore influencing noninnovative firms in SEIs. We contribute to prior works by unifying various policy tools into the same econometric model framework based on an evolutionary game model.

Role of green financial assets, financial technology and the green energy on the development of a green economy

A major issue for governments in the past few decades has been environmental deterioration caused by economic activity. Researchers are increasingly interested in the factors that contribute to environmental deterioration. The study aims to test the role of green bond financing on energy efficiency investment and economic growth. In this investigation, we use the ARDL estimator to investigate the relationships between the financial technology, green bonds, green stock, green supply chain and the development of green energy. The importance of green supply chain, green energy, green bonds and financial technology has been identified as major variables. According to the study's findings, green supply chain, green finance and sustainable economic growth are all essential and positive indicators of a composite assessment of sustainable practices. Green bonds, reducing greenhouse gas emissions and green economic development all play a necessary part in green finance development.

Global city data analysis using SciMAT: a bibliometric review

Global cities play a significant role in world economy as they serve as key hubs of economic activity and trade. These cities are centers of innovation, finance, culture, and commerce, attracting businesses and entrepreneurs from all over the world. They are characterized by their openness, diversity, and their ability to attract and retain talent. This paper includes a bibliometric analysis of the structure of global cities through examining the literature on global cities, including the document type, country/territory distribution, institution distribution, geographical distribution of authors, specially most active authors and their interests or research areas, relationships between principal authors and more relevant journals, and the research hot spots. The input data consists of journal articles archived by the Web of Science from 1991 to 2023, and the analysis is performed using SciMAT and VOS Viewer. The result of this paper would provide valuable insights into the state of research on this topic, including who is conducting research, where it is being conducted, what types of publications are being produced, and which themes are having the most impact on the field. Such an analysis would be useful for researchers, policymakers, and other stakeholders interested in understanding the role of global cities in the world economy.

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Hope-hype of green innovation, corporate governance index, and impact on firm financial performance: a comparative study of Southeast Asian countries

The current production and conception have impacted the environmental hazards. Green innovation (GI) is the ideal solution for sustainable production, consumption, and ecological conservation. The objective of the study is to compare comprehensive green innovation (green product, process, service, and organization) impact on firm financial performance in Malaysia and Indonesia, along with the first study to measure the moderation role of the corporate governance index. This study has addressed the gap by developing the green innovation and corporate governance index. Collected panel data from the top 188 publicly listed firms for 3 years and analyzed it using the general least square method. The empirical evidence demonstrates that the green innovation practice is better in Malaysia, and the outcome also shows that the significance level is higher in Indonesia. This study also provides empirical evidence that board composition has a positive moderation relationship betwixt GI and business performance in Malaysia but is insignificant in Indonesia. This comparative study provides new insights to the policymakers and practitioners of both countries to monitor and manage green innovation practices.

Analysing the co-benefit of environmental tax amidst clean energy development in Europe's largest agrarian economies

The increasing human activities amidst competition for resources across the globe has made environmental challenges an ongoing classic problem, thus prompting policymakers to continually seek effective solution while ensuring sustainable development. With the wide coverage of the relevance of the double dividend hypothesis in explaining the co-benefit of environmental tax, there is a dearth of evidence in the literature to suggest that environmental tax offers green dividends for both the environment and agricultural practice in the European countries. As such, this study employed the more recent Method of Moments Quantile Regression (MMQR) alongside other approaches for Europe's largest agrarian economies (France, Germany, Italy, and Spain) over the annual period 1995-2020. The investigation affirms the validity of the co-benefit of environmental tax as far as environmental sustainability and value-added to agriculture are concerned in this panel of 'Big Four' economies, thus motivating the countries to relentlessly pursue the carbon-neutral 2050 target. Moreover, the study aligns with the expectation that renewable energy utilization and population density are desirable factors for achieving a carbon-neutral target. Lastly, the findings suggest that environmental quality is attainable in the panel, especially as increasing income surpasses a certain threshold, thus validating the environmental Kuznets curve hypothesis. Above all, the findings provide timely policy insight that accommodates both the environmental sustainability and food security framework of the European Union. The policy options relevant in light of the study's conclusions include that the decision makers in the selected agrarian economies should ramp up energy transition opportunities through a resilient environmental tax system that incentives availability of credit and investment financing in the agriculture sector.

The effective subsidy policies for new energy vehicles considering both supply and demand sides and their influence mechanisms: An analytical perspective from the network-based evolutionary game

The development of new energy vehicles (NEVs) cannot be separated from the support of subsidy policies. However, the effectiveness of different subsidy policies remains to be verified. To investigate a more effective way of NEV subsidy and maximize the effect of subsidy policies, this study proposes two subsidy strategies, namely, consistent subsidy and adaptive subsidy, and constructs a network-based evolutionary game model for NEV diffusion. The effects of different subsidy policies are then comprehensively evaluated from the supply and demand sides, and their internal influence mechanisms are further investigated. Results show that: 1) from the supply side, subsidy for both policy achieves the highest NEV diffusion, but subsidy for enterprises is more efficient; 2) from the demand side, NEV diffusion increases NEV sales in the same proportion. Surprisingly, the increase in NEV diffusion rate benefits traditional vehicle manufacturers by expanding their average market demand; 3) from the cost-benefit analysis, the adaptive subsidy is more efficient than consistent subsidy; 4) The higher the initial benefits of NEV enterprises, the higher the level of NEV diffusion. The government should implement the adaptive subsidy and focus on providing subsidies to NEV enterprises to increase the NEV diffusion rate and achieve efficient resource allocation.

Environmental regulation effect on green total factor productivity in the Yangtze River Economic Belt

As a typical watershed ecological economy in China, the Yangtze River Economic Belt has two equally important objectives, namely ecological protection and economic development. Improving green total factor productivity is an essential approach to achieve these two objectives and promote sustainable growth in this area as well as the whole country. Therefore, this study explores the impact of environmental regulation on green total factor productivity with a panel data of 108 cities in the Yangtze River Economic Belt between 2003 and 2019. We first adopt the super slacks-based measure model to estimate city-level green total factor productivity. With kernel density curve, we find that green total factor productivity shows a downward pressure, and its absolute difference among cities shows a narrowing trend. Trend surface analysis displays an inverted U-shaped as well as a U-shaped spatial structures of green total factor productivity in the north-south as well as east-west directions, respectively. By using Spatial Durbin Model, we find a U-shaped direct impact of environmental regulation on green total factor productivity for the entire sample and three subsamples. For an indirect effect, environmental regulation has a positive spatial spill-over impact in the entire area; an insignificant effect in upstream and midstream areas; and an inverted U-shaped spatial spill-over in downstream area. Besides, we utilize threshold effect analysis to explore the impacts of technology innovation. The results show a single-threshold effect of technology innovation and the promotion effect decreases when technology innovation expenditure exceeds the threshold value. Based on our research findings, we suggest that the authorities should adhere to implementing and increasing the intensity of environmental regulation, so as to achieve better policy results. Moreover, local governments should keep technological innovation expenditure at a reasonable level to maximize the promoting effect of environmental regulation on green total factor productivity.

Impact of distance between corporate registration and monitoring stations on environmental performance - Evidence from air quality monitoring stations

Several countries are adopting vertical environmental regulations (air quality monitoring stations) to control pollution. However, there is a relative lack of research analysing environmental regulations and performance from a geographic distance perspective. This study introduces atmospheric quality monitoring stations as a type of environmental regulation using data from Chinese listed companies from 2010 to 2019 to determine the effect of monitoring station distance on corporate environmental performance and the moderating role of corporate strategy. This analysis yielded the following findings. First, based on institutional and signalling theories, we find that monitoring station distance inhibits environmental performance. Second, disclosure, digital transformation, and environmental strategies can reverse the negative effects of monitoring stations. Third, while market drivers improve the ability to monitor station distances, political corruption hinders this. Fourth, firm heterogeneity analysis tells us that the "crowding out" effect of monitoring station distance is more significant for state-owned enterprises, high-tech firms, and heavy polluters. Finally, we found that the monitoring role of stations can be fully utilised only if they are established within a certain distance from the enterprise. These findings are important for establishing air quality monitoring stations and corporate environmental performance in developing countries, including China.

ISO 14001 certification and industrial decarbonization: An empirical study

Voluntary environmental programs have proven to be a viable tool of pollution abatement, supplementing the command-and-control approach and market-based policies such as emissions trading and taxes. These voluntary initiatives aim to achieve pollution reduction through several channels, including procedural changes, raw material changes, product and packaging redesign, and innovation in pollution control technologies. The ISO 14001 standard is such a voluntary program; first introduced in 1996 by the International Organization for Standardization (ISO), it has steadily grown since and has been widely adopted by organizations around the world. In this paper, we empirically study the effects of the ISO 14001 standard on carbon emissions using a panel dataset of Korean manufacturing firms. As the largest contributor to the warming of the earth's atmosphere, carbon emissions are the focus of national and international efforts to curb climate change. The Korean manufacturing industry is responsible for about 40% of greenhouse gases in the country and has experienced rapid growth in ISO 14001 certified facilities. Our econometric results indicate that ISO 14001 certification spurs a significant reduction in carbon emissions among certified firms, after accounting for its potential endogeneity with an instrumental variable strategy. The empirical results suggest that wider ISO 14001 certification among carbon-intensive industries can be a credible pathway to help achieve the Korean government's goal of cutting domestic carbon emissions by 37% by 2030.

Towards low-carbon domestic circulation: Insights from the spatiotemporal variations and socioeconomic determinants of emissions embedded within cross-province trade in China

For a country like China with unbalanced development pattern among provinces, domestic circulation (i.e., cross-province trade) is important for the long-term stability and prosperous development of economic market. However, with the rapid advance of integration of domestic regional economy, while expanding the internal market scale and deepening the provincial division of labor network for promoting the economic growth, the carbon emissions embedded within the cross-province traded products and services cannot be underestimated. Under the background of climate-trade dilemma, it is necessary to exploring the spatiotemporal variations and socioeconomic determinants of provincial "invisible" carbon emissions for a better understanding of trade-induced eco-environmental effects. To that end, this study developed an environmental-economic system model through integrating the environmentally extended multiregional input-output method and weighted average structural decomposition analysis technique to explore the trade-related emissions at the provincial level and generate the mitigation-management strategies for decisionmakers. Overall, more than half the emissions were embedded within cross-province goods and services trade over the whole study period. Furthermore, the distribution of traded emissions showed obvious spatial heterogeneity and great unbalance was existed between provincial imports and exports. Among all provinces, carbon surplus provinces were always more than deficit ones and the trading patterns of approximately 65% regions remained unchanged during 2007-2017. Remarkably, the emissions trading pattern undergone transition from carbon deficit to carbon surplus in provinces like Henan, Hubei, Guizhou, and so on. Conversely, provinces like Jilin, Shanghai, and Xinjiang showed opposite change. With the prevalence of online payment and electronic commerce in the future, the central and sub-national government could consider launching a pilot project for the design and creation of personal carbon consumption account in the carbon surplus provinces such as Guangdong, Henan, and Jiangsu. Meanwhile, for the provinces with larger carbon exports, it is necessary to establish the horizontal high technical transfer channels and vertical compensation mechanisms such as financial subsidies for improving the low-carbon production level. Our findings provided a holistic depict of national traded emissions at the provincial level, highlighting the importance of cross-province emission effect in exploring ways to promote the low-carbon transition of domestic circulation and fulfill the high-quality development of 'dual circulation' new pattern and successful achievement of 'double carbon' solemn commitment.

The Determinants of the Environmental Performance of EU Financial Institutions: An Empirical Study with a GLM Model

Within the last few decades, the issue of the environmental performance of European financial institutions has become a significant feature of their strategic plans. Financial institutions can contribute through their own activities and investments, and also through their relationship with economic sectors and consumers, in decreasing environmental footprint. The purpose of this research is to investigate the determinants that affect the environmental performance of European financial institutions. Financial markets have been selected as the main research field for this study, as it presents an opportunity for environmental policy and is useful in view of the need for a wider range of policy instruments. Moreover, on a more practical level, financial institutions can interact with the environment in several ways, such as investors, innovators, valuers, powerful stakeholders, and polluters. The study is based on a mixed methodology approach, which integrates: (i) bibliometric analysis based on R package and (ii) panel data analysis with the assistance of a generalized linear model (GLM). Findings show that socioeconomic, governance, and technology factors positively affect the environmental performance of European financial institutions. Moreover, the incorporation of alternative energy sources, such as renewable energy in the corporate function, is a requirement for greening the financial institutions. The above can guide financial institutions to develop the appropriate strategies for decreasing their environmental footprint, improving their operational efficiency, and becoming more attractive and competitive in the market.

Value Realization and Optimization Path of Forest Ecological Products-Case Study from Zhejiang Province, China

In the last decade, more and more attention has been paid to the efficiency of ecological products’ value in the literature. Studying the value-conversion efficiency of forest ecological products can measure and reflect the huge value contained in forests, which is of great significance to promote the transformation between “clear water and green mountains” and “gold and silver mountains” as well as solve the problem of economic development and environmental protection. Studying the value-conversion efficiency of forest ecological products can scientifically evaluate the results of the mutual transformation of “clear water and green mountains” and “gold and silver mountains”, which is of great significance for deepening the theory of the “two mountains”. This paper took Zhejiang Province as the research object, constructed an index system of forest ecological products’ value accounting, used the super-SBM model and Malmquist index to calculate the conversion efficiency of forest ecological products’ value, and proposed optimization paths according to the research results. The results showed that: (1) From 2000 to 2020, the value of forest ecological products in Zhejiang Province showed a fluctuating upward trend. In 2020, the total value of forest ecological products was RMB 973.717 billion. Among them, the value of material products was RMB 12.560 billion, the value of ecological regulatory products was RMB 726.323 billion, and the value of cultural service products was RMB 234.834 billion. (2) There were great differences in the value-conversion efficiency of forest ecological products among cities in Zhejiang Province, but the overall trend was steady and developing in a positive direction. (3) The total-factor productivity of forest ecological products in Zhejiang Province showed a fluctuating trend, and its growth was mainly limited by the technical efficiency and technological progress index. (4) The main reasons for the conversion-efficiency loss of forest ecological products’ value in Zhejiang Province were excessive input and insufficient output. The specific reasons for the loss of efficiency in different cities were different, so it is necessary to find improvement paths according to local conditions. Our research provides a new perspective for the academic community to evaluate the value-realization effect of ecological products as well as a decision-making reference for policy makers of ecological environmental protection and construction.