The impact of COVID-19 on small- and medium-sized enterprises (SMEs): empirical evidence for green economic implications

How do income inequality, poverty and industry 4.0 affect environmental pollution in South Asia: New insights from quantile regression

While many factors have been studied as potential causes of environmental degradation, the impact of poverty and inequality has been largely overlooked in the research. The Sustainable Development Goals are aligned with the intersection of poverty, inequality, and the environment. In addition, most previous research has used carbon dioxide (CO2) emissions as a surrogate for pollution. These gaps are filled by this study, which uses ecological footprint (a comprehensive measure of pollution) and CO2 emissions to examine the effects of income disparity and poverty on environmental pollution in 13 nations. Dynamic panel Quantile regression methods are used in this study because of their resilience to various econometric problems that can crop up during the estimate process. The empirical results reveal that the whole panel's carbon emissions and ecological footprint rise when income disparity and poverty exist. When the panel is subdivided, however, we see that income inequality reduces carbon emissions and environmental footprint for the wealthy but has the opposite effect on the middle class. While high-income households see no impact from poverty on their carbon emissions, middle-income households see an increase in both. Overall, the results of this study suggest that income disparity and poverty are major factors in ecological degradation. Therefore, initiatives to reduce environmental degradation should pay sufficient attention to poverty and inequality to achieve ecological sustainability.

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.

Role of natural resources, renewable energy sources, eco-innovation and carbon taxes in carbon neutrality: Evidence from G7 economies

Global warming has created problems for human life, and it has been increasing for a few years. All the developing and developed countries are establishing policies to attain zero carbon status. This study extends the ongoing debate on carbon emissions. It examines the effect of natural resources and RE (Biofuel and other renewable sources) on greenhouse gas (CO2 emission and PM2.5) emissions while using data over 22 years (1999-2021) from G7 countries. In addition, this study has investigated the effect of carbon taxes, financial development, and environmental policies on carbon neutrality. The cross-sectional-ARDL, the Common correlated effect means group (CCEMG), and the Augmented mean group (AMG) cutting-edge model have been employed. Quantile regression has been employed for robustness. The study results demonstrate that biofuel and other renewable energy (RE) sources, carbon taxes, environmental policy, and eco-innovation decrease greenhouse gas emissions (CO2 emissions). Meanwhile, financial development, and natural resource dependence positively impact carbon neutrality. The robustness result also verifies the findings from CS-ARDL, AMG, and CCEMG methods. The empirical findings are used to infer policy implications for G7 economies.

Exploring the impact of financial globalization, good governance and renewable energy consumption on environmental pollution: Evidence from BRICS-T countries

The nations of Brazil, Russia, India, China, South Africa, and Turkey (BRICS-T) have yet to find a satisfactory answer to the problem of how to reduce environmental pollution in their environments significantly. Using panel data from 1990 to 2022, this study analyzes the dynamic relationship between energy financial globalization (FG), good governance (GG), renewable energy consumption (REC), urbanization (URB), economic growth (GDP), and environmental pollution. To estimate the long-run and short-run interaction among the variables, this research included the Cross-sectional- ARDL. This research shows that economic growth, energy use, urbanization, and environmental degradation correlate positively and significantly. In contrast, the BRICS-T economies have significantly reduced environmental pollution due to FG, GG and REC. These results also lend credence to the Environmental Kuznets Curve (EKC) concept for developing nations, which has been the focus of recent attention. Additionally, the results from fixed effects-difference in differences (FE-DK) and AMG robustness tests also validate the results from the CS-ARDL estimator. Finally, the findings found that the BRICS-T countries may benefit from this study.

Analysing the impact of geopolitical risk and economic policy uncertainty on the environmental sustainability: evidence from BRICS countries

This key article seeks to empirically examine the impact of geopolitical risk, economic policy uncertainty (EPU), natural resources, and renewable energy on a country's ecological footprint, a proxy for environmental sustainability on a national scale. We conducted a quantitative study using the cross-sectional autoregressive distributive lag, augmented mean group, and common correlated effect mean group estimation models, as well as a few tests such as the CD test, Westerlund's co-integration, and CIPS and CADF unit root tests, beginning in January 2000 and ending in January 2021, to determine the data's reliability. The findings indicate that while GPR and renewable energy sources lessen the ecological footprint (EF), EPU and the use of non-renewable energy enhance the EF. The study's scope is narrowed to the BRICS nations, but its implications for expanding existing knowledge and shaping policy are enormous. The results can aid decision-makers in preparing for the possibility of unexpected events causing harm to the economy. The reliability of the evidence can be strengthened by employing more stringent research methods. This study's dimensions reflect the current research paradigm. The research has policy implications for achieving sustainable development goals in emerging economies.

Impact of energy imports, renewable electricity production, alternative, and nuclear energy sources on natural gas resource rents

The world faces several problems related to natural gas resource rents and energy production from renewable sources. One of the main problems is the influence of energy imports, manufacturing exports, and alternative energy sources on natural gas and electricity production from renewable sources. Energy imports, manufacturing exports, and alternative energy sources can impact natural gas and electricity production. This paper examines natural gas resource rents and electricity production from renewable sources nexus from 1971 to 2021, using energy imports, manufacturer's exports, and alternative energy sources in China. Electricity production from renewable sources and manufacturing exports are negatively associated with natural gas resource rents. Energy imports and alternative energy sources positively relate to natural gas resource rents in China. These results suggest that the energy sector in China is highly interconnected and that policies that seek to promote renewable energy sources and other alternatives can positively affect natural gas resource rents. China needs to develop an energy policy considering the policy implications of energy imports and natural gas resource rents. Such a policy should focus on increasing domestic production, reducing energy imports, and ensuring adequate revenue from natural gas resource rents. Additionally, regulations could be implemented that support the development of alternative energy sources, such as requiring utilities to purchase a certain percentage of their power from renewable sources.

Financial globalization and economic growth amid geopolitical risk: A study on China-Russia far East federal district

Geopolitics, natural resource efficiency and financial globalization have arisen as a new concept for low CO2 to achieve sustainable economic growth (EG). Therefore, developed and developing economies focus on Geopolitics risk (GPR), natural resource (NRS) efficiency and financial globalization (FG) to cope with CO2 neutrality targets. In order to understand the elements that contribute to achieving CO2 neutrality, this study sought to establish a relevant connection between geopolitics, the efficiency of NRS, financial globalization (FNG), and economic growth. For the abovementioned objectives, modern econometric methods, such as the canonical cointegration, CS-FGLS and GMM were adopted to evaluate the China-Russia Far East dataset between 1990 and 2022. In order to achieve CO2 neutrality in the long run, the study's elements are crucial, according to the results. In addition, GMM shows that each of the parameters affects CO2 neutrality. As a result, the ecological Kuznets curve rules the economic landscape, and long-term CO2 neutrality is greatly facilitated by geopolitics, efficient use of natural resources, financial globalization, and economic growth. Consequently, numerous domains necessitate far-reaching and revolutionary policy changes, such as economic integration to mitigate geopolitical risk, effective management of natural resources, efficient financial systems, and sustainable technology.

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.

Linking to the development of economic growth with digital financial inclusion and supply chain management in China

Much research demonstrates the positive effects of financial inclusion and digital finance on expansion. Supply chains that can be relied upon are essential to national productivity and economic development. This study uses panel data from 2007 to 2022 covering 27 provinces in China to study the results of widespread access to digital financial services and supply chain management on regional economic growth using the instrumental variable approach (fixed effect model). In contrast to earlier research, this study employs an alternative measure of access to digital financial services utilization and digitalization. The data demonstrates that digital financial inclusion and supply chain management have a major impact on the development of the provincial economies in China. Based on the results of this research, we suggest increasing digital financial inclusion and bolstering human capital development to stimulate economic expansion. This essay makes a theoretical advancement in studying digital technology's widespread adoption of financial services by providing a comprehensive critical review and a fresh angle on the nuts and bolts of digital money and universal banking. Boosting institutional quality and governance are two more paths that authorities can take to stimulate economic expansion in the China area, and the results show how important these measures are for achieving this goal.

Supply chain in transition navigating economic growth and environmental sustainability through education

The growing interest in the Management of Eco-Friendly Supply Chains warrants this study. Green supply chain management (GSCM) is an approach to supply chain management (SCM) that takes into account environmental factors. Therefore, GSCM is vital in shaping the cumulative environmental effect of businesses engaged in supply chain operations. In addition, GSCM may help improve the effectiveness of sustainability initiatives. Manufacturing companies, particularly in developing nations like India, are trying to adjust essential procedures and supply chains because of the rising need to be ecologically sustainable. However, such efforts must be deployed strategically to be ecologically sustainable and economically successful. As a result, this study focuses on the relationship between green supply chain management and education that affect environmental sustainability and economic performance. As a further step toward more sustainable development, the mediating function of education is sustainable economic growth and environmental health. The data was collected by distributing a well-crafted questionnaire to manufacturing facilities in India. We employed PLS-SEM to analyze and interpret the data test hypotheses based on data from 415 replies. The findings point to cost and profit as the primary metrics of corporate success. Disposal of trash, usage of resources, and release of greenhouse gases are alternative measures of environmental sustainability. Distributed online links and in-person interviews with employees at companies throughout India who use GSCM procedures provided the basis for the study's primary data set. The data was gathered with the use of an organized survey form. The findings of tests conducted on the hypotheses were considered. According to this research, cost, profit, waste, resource, and GHG emission impacts vary depending on which GSCM techniques are implemented. Green supply chain management strategies significantly affect price, trash disposal, resource utilization, and GHG emissions. There was no discernible trend between GSCM methods and financial success. In addition to discussing the unique elements of sustainable supply chains and the limits of current research, this article also discusses how a company's bottom line will benefit monetarily from establishing a sustainable supply chain. This should inspire more study in this area. Our investigation revealed patterns and voids, and we used that information to outline a thorough plan for future GSCM studies. The research helps manufacturing company management improve their sustainable policies while providing policymakers with pointers.

Decoding the green supply chain: Education as the key to economic growth and sustainability

The value of environmental safeguarding is rising in both private and public spheres. What is meant by the term "green supply chain management" (GSCM)? It is minimizing the negative effects of a company's operations on the natural world. Particularly in the research and academic disciplines of the expanding economy of the China region, the concept of the intersection of green supply chain management and sustainable development is dissected at a foundational level. However, there has been little attention paid to how GSCM, GHC, environmental performance, and economic performance all relate to one another. This study fills that void in the literature by giving hard data to encourage businesses in the China area to adopt GHC (green human capital) and SCM (sustainable supply chain management) in order to significantly improve their environmental and economic outcomes. To better understand the interplay between these ideas, we constructed a conceptual framework. The information was gathered using a survey consisting of questionnaires. Manufacturing companies from ten (10) different areas in China provided the 470 responses. The information was analyzed using structural equation modeling (SEM). Research shows that green human capital and green supply chain management have a beneficial influence on economic performance but no discernible effect on environmental outcomes. The results also demonstrate that green supply chain management is an effective act as a mediator between environmental performance and economic performance, with a beneficial effect on both. An initial conclusion may be made that bettering the green human capital stock was more important for China's green economy's growth than bettering the human capital structure. Research like this helps fill out the picture of the green economy and informs policy decisions at the national level.

Exploring the impact of social capital, institutional quality and political stability on environmental sustainability: New insights from NARDL-PMG

The social aspect of sustainable development is often considered the least strong component, particularly in terms of its analytical and theoretical foundations. Although there has been a recent increase in focus on social sustainability, the relationship between the environmental aspect and social capital is still not well understood. This research seeks to explore initial concepts on frameworks for analyzing the interface between environmental and social capital. However, to demonstrated the core connection of social capital, institutional quality, income and renewable energy consumption with sustainability level (CO2 emissions) in the BRICS economies from 1996 to 2021. Specifically, this study uses advanced techniques such as Non-ARDL, Pooled Mean Group, the Augmented Mean Group and Common Correlated Effect Mean Group. However, under the linear outcomes, social capital, law & order, government stability, political stability and income decline the emissions levels. However, renewable energy consumption shows the positive association with rising emissions in BRICS countries. Interestingly, under the non-linear form, study outcomes describe social capital, and law & order contribute to environmental quality, while government & political stability spur the level of emissions in the long-run. Also, this study provides some core implications to meet the desired sustainability level.

Financial efficiency and CO2 emission in BRICS. Dose digital economy development matter?

When it comes to the environmental costs, environmental economists have tried to study the effects of the foreign direct investment-growth nexus, but they have ignored the crucial role that financial development and technical innovation play. Massive increases in energy consumption have contributed to environmental degradation in the BRICS nations, which have experienced rapid IND due to their robust economies. This study uses data from 1990 to 2021 to examine the relationship between carbon emissions in BRICS member nations and factors such as FDI, technological innovation, and economic growth. Within the panel nations, the results confirm a high cross-sectional reliance. The BRICS countries' financial development, technological innovation, and foreign direct investment all have a negative and statistically significant long-run association with CO2 emissions, according to the Augmented Mean Group (AMG) estimator. On the other hand, economic growth, TI, IND, and energy use all have positive and statistically significant associations with carbon emissions. This study's researchers choose to use the Dumitrescu and Hurlin panel causality test to look at the other way around. Economic growth (EG), Digital economic growth (DEG), Financial efficiency (FE), CO2 emissions (CO2), Industrialization (IND), Technological Innovation (TI), Foreign direct investment (FDI) and Inflation are all identified as having a bidirectional long-run causative relationship. In contrast, a unidirectional causal relationship is observed between FDI and CO2 emissions. To entice high-quality FDI, the BRICS member nations must advance their industries, financial institutions, and technological innovation. In addition, these nations need immediate legislative solutions because IND is a major cause of environmental damage.

How does an innovative decision-making scheme affect the high-quality economic development driven by green finance and higher education?

This research examines the various elements that contribute to the achievement of high-quality economic development (HQED) in China. Specifically, it explores the influence of several major indices, such as the Green Finance Index, Energy Development Index, Higher Education, Technology Market Environment, and Human Capital. In this study, we utilize a Spatial Durbin Model to examine the interdependencies and spatial linkages between various variables, and their combined impact on China's efforts towards achieving HQED. The Green Finance Index serves as an indicator of a nation's dedication to the implementation of financially sustainable practices and investments that align with environmental objectives. The Energy Development Index assesses the extent to which the energy sector contributes to both economic growth and sustainability. The significance of education and skill development in promoting economic advancement is underscored by Higher Education and Human Capital measures. The Technology Market Environment Index examines the impact of the innovation ecosystem on fostering economic growth. The empirical analysis in our study utilizes extensive data sets collected from 30 provinces and regions throughout China. In this study, we analyze the spatial and temporal interactions of the indices, considering the potential spillover effects from adjacent locations. The findings offer significant contributions to understanding the intricate interconnections among green financing, energy development, education, technology, and human capital, and their combined influence on China's continuous endeavor towards achieving high-quality economic growth. Comprehending the intricate interconnections and spatial dynamics holds paramount importance for policymakers and stakeholders who aspire to foster sustainable, inclusive, and ecologically conscientious economic development in China. The results obtained from this study possess the potential to provide valuable insights for evidence-based policy decisions and strategies aimed at promoting the nation's pursuit of HQED objectives.

Post-COVID-19's impact on green supply chain management and sustainable E-commerce performance: the moderating role of big data analytics

This study investigates the relationship between COVID-19 and the adoption of green supply chain management practices (GSCM) in the Pakistani e-commerce industry. It also assesses the impact of these practices on ecological sustainability across three dimensions and explores the role of big data analytics (BDA) in enhancing them after the pandemic. The research utilized partial least squares structural equation modeling to evaluate data and test hypotheses. The research sample was composed of 390 managers operating within Pakistan's e-commerce industry. The study's preliminary findings reveal that COVID-19 has positively influenced the adoption of GSCM practices, which are moderated by BDA. Implementing GSCM has a positive impact on the perceived environmental and social resilience of e-commerce enterprises, but no significant effect on their perceived economic resilience. Additionally, GSCM acts as a mediator in the relationship between the impact of COVID-19 and the perceived environmental and social resilience of e-commerce firms, but not for economic resilience. This research focuses on Pakistan's e-commerce industry and investigates how COVID-19 affects the adoption of eco-friendly supply chain practices. It measures the impact of these practices on ecological sustainability using three dimensions. The study also examines how BDA can improve the adoption of GSCM in e-commerce, offering new insights into sustainability during and post-pandemic. The results recommend that the e-commerce industry can use BDA and GSCM practices to improve e-commerce sustainable performance. This is initial research that integrates COVID-19 impact, BDA, GSCM practices, and e-commerce sustainability in a single framework that was overlooked previously.

Do entrepreneurship education activities have an impact on entrepreneurial behavior? An application of behavioral entrepreneurial intention

Many of the world's most prosperous and secure nations owe much of their success to the contributions of their entrepreneurial spirit. Indian youth unemployment is among the worst in the world, posing serious problems for a country with the youngest population. Using the framework of planned behavior theory, this research examines how entrepreneurship courses affect future plans to start a business. We developed a theoretical framework by investigating the effect of college-level entrepreneurial programs on regional prosperity and quality of life. The research offers data from China on the connection between entrepreneurship education and the desire to start a business. The hypotheses indicate the mediating function of entrepreneurial skills in this relationship. If universities and colleges want their students to have an entrepreneurial attitude and launch successful businesses, they need to improve the way they teach entrepreneurship. The impact of entrepreneurship education and an entrepreneurial mentality on the choice to establish a company was studied by academics in the Chinese region from September 2021 to June 2022. The study's overarching goal was to investigate the connections between formal entrepreneurship education, attitudes toward entrepreneurship, the idea of planned behavior, an entrepreneurial mindset, and creative intent. We used an econometrically sound partial least squares structural equation model (PLS-SEM) to do the necessary empirical computations. Education in entrepreneurship, an attitude conducive to starting a firm, the notion of planned behavior, and an entrepreneurial mindset all positively correlate with the choice to do so. The impulse to launch a new venture is highly correlated with a person's level of creativity. These findings make it quite evident that, in order to achieve the dual goals of economic development and poverty reduction, the government must increase spending and advocate for a shift in the way enterprises are organized.

Does circular economy affect environmental performance? The mediating role of sustainable supply chain management: the case study in China

Governments and professionals have recently tried to improve public environmental knowledge and laws in order to meet growing environmental concerns. As a result, most nations see corporate environmental initiatives like the circular economy and the green supply chain as important (GSCM) as the best ways to address environmental problems. As a result, this study tries to show how important GSCM and the circular economy are regarding the economy of China's relationship to environmental sustainability. This study uses the partial least square structural equation model (PLS-SEM) on data to obtain trustworthy results from 387 Chinese manufacturing companies. A favorable and statistically significant correlation between GSCM, environmental performance, and the circular economy was revealed using PLS-SEM analysis. To raise environmental standards, eco-friendly methods like buying and designing green items are widely regarded today. Imagine if manufacturing companies adopt green supply chain management, which would improve their economic performance and increase operational effectiveness. The secret to a successful corporation is having successful operations.

Energy consumption and innovation-environmental degradation nexus in BRICS countries: new evidence from NARDL approach using carbon dioxide and nitrous oxide emissions

The BRICS nations-Brazil, Russia, India, China, and South Africa-have grown significantly in importance over the past few decades, playing a vital role in the development and growth of the global economy. This expansion has not been without cost, either, since these countries' concern over environmental deterioration has risen sharply. Both researchers and decision-makers have focused a lot of attention on the connection between economic growth and ecological sustainability. By using nonlinear autoregressive distributed lag (NARDL) approach, the complex relationships were analyzed between important economic indicators-such as gross domestic product (GDP), ecological innovations (EI), energy consumption (ENC), institutional performance (IP), and trade openness (TOP)-and their effect on carbon emissions and nitrous oxide emissions in the BRICS countries from 1990 to 2021, this study seeks to contribute to this important dialog. Principal component analysis is formed for technological innovations and institutional performance using six (ICT service exports as a percentage of service exports, computer communications as a percentage of commercial service exports, fixed telephone subscriptions per 100 people, internet users as a percentage of the population, number of patent applications, and R&D expenditures as a percentage of GDP) and twelve (government stability, investment profile, socioeconomic conditions, internal conflict, external conflict, military in politics, control of corruption, religious tensions, ethnic tensions, law and order, bureaucracy quality, and democratic accountability) distinct indicators, respectively. The results of nonlinear autoregressive distributed lag estimation show that increase in economic growth would increase carbon dioxide and nitrous oxide emissions. The positive and negative shocks in trade openness have positive and significant impact on carbon dioxide and nitrous oxide emissions in BRICS countries. Furthermore, the positive shock energy consumptions have positive and significant effect on Brazil and India when carbon dioxide and nitrous oxide emissions are used. However, EKC exists in BRICS countries when carbon dioxide and nitrous oxide emissions are used. According to long-term estimation, energy consumption and technological innovations in the BRICS countries show a strong and adverse link with nitrous oxide and a favorable relationship with carbon dioxide emissions. In the long run, environmental indicators are seen to have a major and unfavorable impact in BRICS nations. Finally, it is proposed that BRICS nations can assure environmental sustainability if they support creative activities, enhance their institutions, and support free trade policies.

The determinants of carbon emissions in Belt and Road Initiative countries: analyzing the interactive role of information and communication technologies

Belt and Road Initiative (BRI) countries have benefited greatly from the intelligent growth of the green economy made possible by the widespread adoption of internet and mobile phone technologies. In addition, renewable energy consumption endorses sustainable development. Therefore, the purpose of this research is to determine if the use of information and communication technology (ICT) and renewable energy consumption has an effect on sustainable development in BRI countries, while using the augmented mean group (AMG) model, AMG robustness test, and panel Dumitrescu-Hurlin causality test to get robust results. According to the results of the study, the information and communication technology, renewable consumption, human capital, and urbanization reduces the emission of carbon dioxide emission in BRI countries while economic growth enhances the CO2 emission. Therefore, it is recommended that BRI countries increase their inter-regional cooperation in order to boost investment in renewable energy, effectively use the spillover effect of technology and knowledge, and end the resource curse in environmental policy. Based on the results, the authors of this paper propose a number of important steps toward environmental sustainability.

Digital technology and its application in supply chain management: new evidence from China's economy

The purpose of this article is to investigate the influence that practices using information technology (IT) have on the development of a competitive advantage across the supply chain. An organization has a competitive advantage when it has qualities that give the required foundations for it to separate itself from other organizations that are also in its industry. Pressure is applied to the corporate environment as a result of competition and ongoing changes, such as the introduction of new products and technical advancements, the decline of product lifestyles, and the proliferation of products. In order to maintain a competitive edge and achieve financial success in business, organizations are necessary for responding to changes in the market. Through the use of supply chain markets, companies are able to react quickly to unforeseen shifts in the market, and these shifts may be turned into lucrative business possibilities. One of the most significant things that firms can do to assist themselves is make use of information technology to improve their supply chain management agility. From March 2021 through January 2022, the area of China will have a total sample size of 247 persons fill out a questionnaire as part of the data collection process. In each and every questionnaire, the measurements were taken using a Likert scale with five points. The partial least square-structural equation modeling (PLS-SEM) approach is used to the causal model in order to assess the model's reliability and validity. This technique is used to evaluate the causal model. The findings indicate that information technology has a favorable impact on the adaptability of supply chain management systems. In addition, the findings that were collected have shown that there are four factors that influence the SCM systems. These factors are the IT skills and knowledge, the integration of IT-based systems, the IT infrastructure, and the design of global position system and geographic information systems. In addition, this research offers practitioners recommendations for implementing digital technology for supply chain management and building suitable business strategies at various stages of digitalization.

How do energy technology innovation, financial inclusion, and digital trade help to achieve carbon neutrality targets?

The ultimate goal of carbon neutrality objectives is to bring greenhouse gas emissions down to a point where they are no longer a factor in escalating climate change and global warming. Adopting sustainable habits, technologies, and investments may be facilitated and accelerated by energy technology innovation, digitalization trade, and financial inclusion, which can substantially influence reaching carbon neutrality objectives. However, none of the past studies have examined the role of energy technology innovation, financial inclusion, and digital trade on the carbon neutrality targets in top polluted economies. To fill this vacuum, this study aims to investigate the effect of energy technology innovation, financial inclusion, and digital trade on carbon neutrality in the top 40 polluted economies across Asia, America, and Europe from 2004-2021. Two renowned econometric techniques are used for empirical analysis, including Two Stage Least Square (2SLS) and Generalized Method of Moments (GMM). The estimates of energy innovation, ICT trade, digital financial inclusion, foreign direct investment, and research and development spending highlight the adverse influence on carbon emissions in global, Asian, American, and European samples. Conversely, the per capita income and foreign direct investment cause carbon emissions to increase in Asia, America, and Europe. Thus, policy experts in top polluted economies should target an integrated policy with a central focus on energy innovation, digital trade, and financial inclusiveness to achieve carbon neutrality.

Public welfare crowdfunding decision-making of environmental nonprofit organizations based on social responsibility

Sustainable crowdfunding has emerged as a significant factor in the quest for alternative funding streams in recent times. The process has entailed the removal of financial obstacles and intermediaries, facilitating proximity between entrepreneurs' initiatives and fund providers, thereby initiating modifications in conventional investment and profitability criteria. The correlation between corporate social responsibility (CSR) and sustainable business returns is a significant metric that may enhance funding costs. CSR initiatives and crowdfunding possess the potential for mutually beneficial outcomes in terms of fundraising. However, fundraisers encounter obstacles and competition in their efforts to attain their donation objectives. As an illustration, CSR endeavors may provide a chance to raise capital via crowdfunding. Conversely, crowdfunding has the potential to serve as a means of micro-funding various social initiatives that align with a corporation's corporate social responsibility objectives. The present research investigates the correlation between efficacious donation fundraising campaigns in the context of crowdfunding endeavors that hold the possibility of transforming into corporate social responsibility initiatives. The present study investigates the correlation between the initial amount of funds raised on the first day of a fundraising campaign and the target amount of funds sought by the fundraiser, as well as the type of activities involved. The present study utilizes data derived from crowdfunding endeavors in Southeast Asian nations to scrutinize the funds amassed through donations by juxtaposing trends, cultures, and characteristics of fundraisers employing donation-based crowdfunding. The present investigation employs data collected between the period spanning from the beginning of September 2021 to the end of September 2021 in the economies of Southeast Asia, including Singapore, Indonesia, Malaysia, Thailand, and the Philippines. The present investigation utilizes the partial least squares structural equation modeling (PLS-SEM) approach for the estimation of the variables. The findings of the hypothesis indicate that there exists a positive correlation between crowdfunding, environmental nonprofit organizations, organizational profitability, and CSR.

Advancing higher education and its implication towards sustainable development: Moderate role of green innovation in BRI economies

Environmental deterioration is one of the major problems the globe is facing in the modern period. On the other hand, several groups around the world have endeavored to launch efforts to protect the planet, such as the Sustainable Development Goals. Therefore, the proposed objectives' primary duty is to strike a balance between development and environmental concerns. This study looked at 65 Belt and Road Initiative (BRI) economies to see how factors, including the economic complexity index, urbanization, ICT, higher education, and green innovation, affected carbon emissions in the presence of sustainable development. Annual time series data from 2000 to 2020 have been used in the analysis. This study employs the CC-EMG to determine the durability of the association between the variables. AMG and quantile GMM regression estimations were used to test the robustness and reproducibility of the results. The results reveal that higher education and green innovation help lower carbon emissions, whereas the economic complexity index and urbanization are beneficial for increasing economic activity and advancing information and communication technologies. The economic complexity index, ICT, and higher education are all negatively impacted by green innovation. Important policy implications of the computed coefficients for the selected and other developing markets in planning a suitable path forward to a sustainable environment are also provided.

Barriers to green human resources management (GHRM) implementation in developing countries: evidence from China

Because of the current climate adaptation and long-term viability advancements, campaigners both locally and globally are pressuring businesses to embrace green practices. But there are challenges to putting green policies into action. The goal of this research was to analyze the most significant challenges encountered by Chinese businesses when attempting to implement environmentally responsible HR practices (GHRM). There were seventeen setbacks found, and these were sorted into five main groups. In order to pilot test the survey questions, we spoke with twenty experts in the fields of human resources and environmental management. One hundred and ninety-nine questionnaires were subsequently distributed to a random sample of company CEOs (19), HR managers (30), CFOs (30), and HR directors (40). The PSI approach was used to establish a hierarchy of the most significant obstacles and their subobstacles. Twenty-three percent of GHRM barriers in the research area were attributable to economic factors. The absence of financial resources emerged as the most crucial obstacle overall (with a score of 0.99) and among the subbarriers. The second most common barrier was found to be political and regulatory (20.1%), while the least common was found to be cultural and educational (18.2%). Government and financial institutions can help businesses overcome the most significant obstacles by offering low-interest loans for the development and implementation of sustainable business strategies and initiatives. As such, this study complements the current body of literature on green HR. Examining the challenges faced when trying to put GHRM into practice in a poor country context, this helps policymakers and practitioners in China and other similar economies understand environmental innovation barriers and develop policies to overcome them.

Corporate social responsibility initiatives and their role in firms' reputation and green economic recovery through organizational trust

Maintaining operations in the face of crises like COVID-19 is difficult. Using the stakeholder theory, this study examines the impact of corporate social responsibility (CSR) programs targeting company employees. Their social position and the likelihood of a green economic rebound (GER) are evaluated. Evidence shows that employee-focused CSR activities implemented by tourism boost organizational GER by fostering a more trusting work environment for their staff. Management and non-management staff at Chinese Tourism were polled using a non-probabilistic convenience sample and a 5-point Likert scale. Structured equation modeling was used to conduct structural analyses. Employee-focused CSR is a significant predictor of a firm reputation in the Chinese tourism industry. In addition, it is found that trust inside the organization acts as a go-between. The evidence also supports the hypothesis that a company's rising profile triggers GER. This research delves deeply into the connection between employees' perceptions of a company's employee-focused CSR initiatives, that company's reputation in the community, and employees' general enthusiasm for their job, a group that has been understudied until now. The findings are helpful for tourism management because they show them how to employ employee-focused CSR activities to strengthen connections with internal stakeholders while also using that reputation to shift to a greener way of doing business.

Analyzing the influencing factors of collaborative innovation and industrial structure upgrading on the economy: reflection on the economic dilemma of enterprises

The present study has investigated the impact of enterprises, collaborative innovation, industrial structure, inflation, and entrepreneurship in 27 provinces of China. The study used annual time series data from 2003 to 2019. This study adopts the CC-EMG and AMG tests to estimate the long-term association between the variables. The study applied one-step system GMM, two-step system GMM, Cup-FM, and Cup-BC regression estimations to calculate robust and reliable outcomes. The findings show that collaborative innovation, industrial structure, and entrepreneurship positively impact economic growth, whereas enterprises and inflation negatively impact economic growth. The estimated results also provide important policy implications for the selected and the other emerging economies in designing an appropriate way forward to economic development.

Does higher education promote sustainable development? Role of green technology and financial performance

How do digitalizing businesses help them achieve sustainable growth? This research examines the mediating function of green technology innovation in answering this question by defining sustainable development performance in terms of corporations' financial and environmental success. The educational system in China is examined to see how much of an impact it has on eco-innovation, as well as the relationship between green technology and innovation. The IFE test was utilized to determine whether or not the associations between variables such as GDP per capita, urbanization, green technology, higher education, and carbon dioxide emissions will continue to exist between 2004 and 2020 in China. The data for this analysis came from 30 of China's provinces. The findings of both the short-term and long-term CS-ARDL estimations demonstrated a positive link between eco-innovation and GDP per capita, green technology, higher education, and CO2 emissions. On the other hand, a negative correlation was found between urbanization and eco-innovation. The next topic covered in the research was how the effects of green technology might be seen in areas such as GDP per capita, higher education, and carbon dioxide emissions. The findings might provide valuable knowledge that developing economies can use to construct a feasible, sustainable path.

How economic policy uncertainty and geopolitical risk affect environmental pollution: does renewable energy consumption matter?

Climate change traps heat, affecting various species in previously dry areas. Climate change brought on by emissions of greenhouse gases exacerbates problems such as severe storms, earthquakes, epidemics, and food distribution. The group of developed and developing countries, the world's biggest carbon emitters and most significant economies, is expertly planning to lessen its environmental challenges and contribute to achieving Sustainable Development Goals 7 and 13 set by the United Nations. This study uses the novel econometric methodologies of the dynamic ordinary least square (DOLS) estimator, the augmented mean group (AMG) estimator, and the fully modified ordinary least square (FMOLS) estimate to examine the influence of economic policy uncertainty, renewable energy consumption, geopolitical risk, non-renewable energy consumption, and economic growth on ecological footprint from 2000 to 2021. The results reveal that the variables are co-integrated; REC reduces carbon emissions, EPU, geopolitical risk, and economic growth contribute to increasing carbon emissions, while urbanization improves carbon emission. Finally, the results suggest that the developed and developing economies can progress toward SDGs 7 and 13 by using renewable energy, lowering the geopolitical risk, effectively handling policy uncertainty, and reducing urbanization.

How natural resources depletion, technological innovation, and globalization impact the environmental degradation in East and South Asian regions

Rapid economic expansion has caused resource depletion, globalization issues, and environmental deterioration. Globalization has highlighted East and South Asian mineral richness. This article investigates the effects of technological innovation (TI), natural resources, globalization, and renewable energy consumption (REC) on environmental deterioration in the East and South Asian region from 1990 to 2021. The cross-sectional autoregressive distributed lag (CS-ARDL) estimator is used to estimate short- and long-run slope parameters and dependencies across countries. The results demonstrate that many natural resources significantly enhance environmental degradation, while globalization, TI, and REC reduce emission levels in East and South Asian economies and that economic growth significantly degrades ecological quality. This research suggests that governments in the East and South Asian region develop suitable policies that promote the efficient use of natural resources via technological advancements. Furthermore, future policies regarding energy consumption, globalization, and economic development should be aligned with the aims of sustainable environmental development.

Exploring the nonlinear relationship among financial development, human capital and CO2 emissions: a comparative study of South and East Asian emerging economies

Despite worldwide commitments to reduce fossil fuel consumption in favour of alternative energies, several countries still rely on carbon-intensive sources to meet their energy demands. The previous studies show inconsistent results on the association between financial development and CO2 emissions. As a result, the impact of financial development, human capital, economic growth and energy efficiency on CO2 emission is evaluated here. Empirical research on a panel of 13 South and East Asian (SEA) nations between 1995 and 2021 using the CS-ARDL. Estimates from the empirical analysis considering energy efficiency, human capital, economic growth and overall energy use yield different findings. Financial development has a negative effect on CO2 emission, while economic growth positively impacts CO2 emission. The data also show that improving human capital and energy efficiency has a positive, though statistically insignificant, impact on CO2 emission. According to the causes and effects analysis, CO2 emission will be influenced by policies that aim to improve financial development, human capital, and energy efficiency, but not vice versa. Policy considerations that can be implemented in light of these findings and sustainable development goals can be accomplished by promoting financial resources and human capital.

Beyond the Arena: How sports economics is advancing China's sustainable development goals

In recent years, China has made tremendous progress. The general quality of living of the population has risen. As the China economy grows, so too will the middle class, laying the groundwork for the expansion of the sports business. At the same time, reaching a certain level of success in the sports sector would benefit the economy. In some Western developed nations, for instance, the sports industry's economic impact has already surpassed that of the traditional economy. The economy has reached a new plateau because of it. The sports business in China has matured to a certain extent, but it is still in its infancy. The growth of the sports business has not been without its share of challenges. In this paper, we focus on how the sports sector in China contributes to greenhouse gas emissions. To begin, the foreign sports industry's growth process, development status, influencing factors, and existing issues were compared and analyzed in order to gain insight into its conditions, characteristics, and contribution to economic growth. This research also explores the role of the sports industry from 1990 to 2020. This study considers the determinants of carbon emission (CO2): GDP per capita, technological development, social globalization, energy consumption, and the sports industry. The study employs the unit root test, ARDL bound test, AARDL estimation, NARDL test, and MTNARDL test to check the outcomes of variables in this analysis. The effect of GDP per capita, technological development, social globalization, energy consumption, and the sports industry has a positive and negative impact on carbon emission (CO2) in China. In terms of outcomes, this study suggests how a country can maximize green economic growth.

New-type urbanization efficiency measurement in Shanghai under the background of industry city integration

With the development of urbanization, the problem of the disintegrated between industry and city became more prominent, exploring the reasons. The efficiency of new-type industry has been the crucial factor in city-industry integration. This paper constructs the measurement index system of new-type urbanization via DEA-BCC methodology, starting from the quality of urbanization to analyze the efficiency of urbanization. This paper chooses the total energy consumption, general public budget expenditure, and the proportion of employment personnel in the tertiary industry in all urban units as input variables. The total retail sales of consumer goods, urbanization rate, average annual concentration of pm2.5 (popW), and built-up area as output variables. This paper uses DEA method to measure the comprehensive efficiency value, technical efficiency value, and scale efficiency value of new urbanization in Shanghai, and analyzes the influencing factors of urbanization efficiency. The results show the following: (1) The overall level of comprehensive efficiency value, technical efficiency value, and scale efficiency of Shanghai's new-type urbanization are relatively high, especially the technical efficiency basically stays at a high level. The overall trend of scale efficiency and comprehensive efficiency is consistent, and the comprehensive efficiency is greatly influenced by scale efficiency. (2) The technical efficiency of urbanization in Shanghai is close to the optimal, and there is little space for further increasing technological input to improve the comprehensive efficiency of new-type urbanization. The scale efficiency is slightly lower than the technical efficiency, and there is still some space for optimization. (3) In terms of urbanization input indicators, Shanghai's total energy consumption and general public budget input were too much in the early years, which led to the reduction of urbanization efficiency, and the situation has been improved in recent years. In terms of the output index of urbanization, increasing the total retail sales of social consumer goods and the output of built-up area can make the urbanization efficiency of Shanghai reach the optimal efficiency.

Assessing the social sustainability impact on suppliers: the role of global value chains governance strategies

Stakeholder awareness of social sustainability issues is growing, but few recognize what motivates companies to implement social sustainability in their supply chain management or return on investment in developing countries, where cultural norms might vary widely. We address this question by broadening stakeholder and institutional perspectives to investigate how customers, sustainability culture, management, and external stakeholders influence companies' acceptance of social sustainability in their supply chains. We collected information on 356 apparel and footwear manufacturers from 5 South Asian countries that sell to customers in Western Europe and North America. Our findings highlight the interdependence of organizational and institutional structures and define the boundaries of GVC governance mechanisms within a social sustainability framework. Our research shows that the success of examining social sustainability interventions applied by leading firms or the effects of collaboration-based global value chains depend on the supplier's local institutional framework. Social sustainability organizational practices influence supplier perceptions and responses to key corporate needs in the supplier's country. We demonstrate that GVC governance models are most conducive to suppliers' social sustainability implementation when contextualized with the local institutional needs for social sustainability in the supplier's country.

Psychological impact of COVID-19 pandemic and turnover intention: The moderating effect of employee work engagement

The study aimed to understand the relationship between the psychological impact of the COVID-19 pandemic and turnover intention and the moderating role of employee engagement. Data were collected via a structured questionnaire through both hand deliveries of printed questionnaires and Google docs from 187 frontline employees in the Ghanaian public sector. The hypotheses were tested using structural equation modeling. There exists a positive and significant relationship between the COVID-19 pandemic and employee turnover intentions. Out of the three dimensions of work engagement, vigor had a significant negative moderating effect on the relationship between psychological impact and turnover intentions. This implies that the positive effect of the psychological impact of COVID-19 on turnover intentions is minimized, where employees have high levels of energy and mental resilience while working, thus their vigor is high rather than low. The study contributes to literature on employee work engagement by using the Job demands-resources model to unravel the specific dimension of employee engagement that can minimize the negative impact of COVID-19 on employees' turnover intention in the public sector in a developing country.

Achieving green tourism through environmental perspectives of green digital technologies, green innovation, and green HR practices

This study investigates tourism growth with the role of green digital technologies and green human resource management (GHRM) in China. We applied a fuzzy analysis technique using the 130 Chinese tourism SMEs that use digital technology. The study results declared that digitalization in tourism increases automation in both the process and the final product, raising demand and quality. Moreover, green digital technologies are significant in agile innovation and tourism growth. The study's results extended that green HRM practices have a significant role in Chinese SMEs developing agile innovation, tourism growth, and green digital innovation. These findings were confirmed by using fuzzy robustness tools. The study proposes to achieve SDGs in China's tourism industry using primitive measures to enhance tourism growth and agile innovation based on green HRM practices and green digital technologies. Such prudent measures suggested improving green digital technologies in the Chinese tourism industry for tourism growth and agile innovation maximization.

Assessing financial performance through green bond markets and energy reliance in Asian economies

This article's overarching goal is to learn more about the effects of financial performance on the reliance upon or migration to energy efficiency sources in Asian countries using data envelopment analysis (DEA) and system GMM from 2017 to 2022. The results demonstrated the importance of relying on renewable energy sources when expanding the electricity sector effectively in an Asian environment. This same influence of green bond financing on energy investment during an eco-friendly improving economy is in addition to the proportion of renewable energy demands, power usage to gross domestic product, power manufacturing stretchability, electricity usage stretchability, or the overall impact of renewable energy transformation. The analysis revealed that the organizational climate has implicit implications that advance wage activity and that Asian financial systems drove a 30% point transition in the period studied from traditional power generation manufacturing and use methods toward sustainable energy. With this, we see a dramatic increase in the use of green power. This is largely attributable to the widespread use of green financing in constructing hydroelectric facilities throughout Asia. The theoretical underpinnings and empirical setting of the research are both original. Moreover, the association between green bond issuance and green, sustainable growth in industry and agriculture supports the response theory. Major governmental aspects include modernizing and expanding the finance system, updating national efficiency metrics, and creating a technological long-term infrastructure market. While previous studies have looked into the connections between green finance and economic growth, technological advancements in the energy sector, environmental responsibility, and renewable energy sources, this study is the first to focus on how green finance facilitates the shift to renewable energy in Asia's economies. The study's findings suggest how to manage renewable energy in Asia in a way that could work.

Does Psychological crisis matter for college students: Role of digitalization and employment

This paper aims to describe the psychological crisis's impact on college students in China. The present study has investigated the impact of the usage of digitalization, psychological crisis, employment and age on the college student in China. The study used annual time series data from 2005 to 2020 from provinces in China. This study adopts the Cup-FM test to estimate the long-term association between the variables. The study applied Cup-BC and by-FM estimations to calculate robust and reliable outcomes. The findings show that usage of digitalization and psychological crisis negatively impact college students, whereas employment and age positively impact the college student. Moreover, the result of the interaction term psychological crisis on the usage of digitalization, employment and age has positively impacted college students. The estimated results also provide important policy implications for the China region in designing an appropriate way forward for college students.

Assessing the effect of the improvement of environmental damage compensation legal system and green finance project on the re-establishment of the ecological environment

What are the relationships among environmental regulations, green finance, and environmental damages in countries? Existing literature supports the impact of green finance or green innovation on environmental quality, but rare studies query the cointegration among other core variables. We thus utilize the yearly data of 25 Chinese provinces from 2003 to 2021 to empirically examine the relationships among access to clean energy and technology, environmental regulation, renewable green investment, subsidy on green energy, and green finance index in environmental damage compensation via an augmented mean group (AMG) and other estimators. However, the current empirical research also investigates the individual linkage of green finance components with explained variables. Overall, this study confirms the existence of cointegration relationships among these variables. Moreover, the results of AMG suggest that access to clean fuels and technology, environmental regulations, and green finance can inversely affect the explained variable in the long term. Furthermore, environmental regulations and renewable green investment positively affect environmental damages, while a separate proxy of green finance also negatively affects explained variables in the selected provinces with better environmental performance. Our empirical findings offer important policy implications for overall emerging economies to promote subsidies, environmental regulations, and green finance to improve environmental damages compensation.

Do green innovation, I.C.T., and economic complexity matter for sustainable development of B.R.I. economies: moderating role of higher education

The research intends to enlarge the environmental economics literature by displaying the probable mechanisms between green innovation, higher education, and sustainable development. In the context of a new era, sustainability faces challenging obstacles. Many studies have looked at fundamental factors affecting CO₂ emissions, while the impact of green innovation and higher education is essential but mostly ignored. This study looked at 60 Belt and Road Initiative (B.R.I.) economies to see how factors, including green innovation, economic complexity index, I.C.T., and higher education, affect carbon emissions in the presence of sustainable development using annual data from 2000-2020. In order to calculate the persistence of the connection between the factors, this research uses the CS-ARDL. The results' robustness and reliability were examined using PMG estimation. The results indicate that the economic complexity index and urbanization positively impact carbon emission (CO₂). Higher education (E.D.U.) has a significant positive impact in the short run and a negative effect in the long run-on carbon emissions. Similarly, information and communication technology (I.C.T.) and green innovation have a negative impact on carbon emission (CO₂). Moreover, the results indicate that the moderate effect of green innovation with economic complexity index, information and communication technology, and higher education has a negative impact on carbon emission. The estimated coefficients also provide significant policy implications for the chosen and the other developing markets in designing an adequate route ahead to a sustainable environment.

Assessing the impact of COVID-19 on economic recovery: role of potential regulatory responses and corporate liquidity

We use a variety of organization-level datasets to examine the effectiveness and efficiency of the nations for the coronavirus epidemic. COVID-19 subsidies appear to have saved a significant number of jobs and maintained economic activity during the first wave of the epidemic, according to conclusions drawn from the experiences of EU member countries. General allocation rules may yield near-optimal outcomes in favor of allocation, as firms with high ecological footprints or zombie firms have lower access to government financing than more favorable, commercially owned, and export-inclination firms. Our assumptions show that the pandemic has a considerable negative impact on firm earnings and the percentage of illiquid and non-profitable businesses. Although they are statistically significant, government wage subsidies have a modest impact on corporate losses compared to the magnitude of the economic shock. Larger enterprises, which receive a lesser proportion of the aid, have more room to increase their trade liabilities or liabilities to linked entities. In contrast, according to our estimations, SMEs stand a greater danger of insolvency.

China's energy policy and sustainable energy transition for sustainable development: green investment in renewable technological paradigm

It is generally accepted that China is a significant cause of global warming and other climate change consequences. This paper applies panel cointegration tests and autoregressive distributed lag (ARDL) techniques to investigate the interactions among energy policy, technological innovation, economic development, trade openness, and sustainable development using panel data from China from 1990 to 2020. Results explain that renewable energy policy and technology innovation are negatively associated with sustainable development. However, research shows that energy use significantly increases both short-term and long-term environmental damage. The findings show that economic growth has a lasting impact on the environment by distorting it. The findings recommend that politicians and government officials hold the key to attaining a green and clean environment by focusing on developing the proper energy policy mix, urban planning, and pollution prevention without compromising economic growth.

Understanding the role of green finance and innovation in achieving the sustainability paradigm: application of system GMM approach

THe central challenge facing China's sustainable development is how to strike a balance between economic growth and environmental conservation. In China's ongoing economic revolution, green finance is more important than ever. The study empirically examined how green finance and innovation affect carbon emissions using panel data from 30 Chinese provinces gathered between 2010 and 2020. The empirical analysis is undertaken to utilize a series of methods to investigate the impact of green finance on carbon emissions. The findings show that increased green finance, innovation, and industrial structure reduce carbon output. Moreover, carbon emissions increase with increasing trade openness and economic growth. In order to achieve sustainable development goals through economic and environmental sustainability, it has been discovered that green finance can foster green technology innovation and green business.

Assessing the determinants of renewable energy and energy efficiency on technological innovation: Role of human capital development and investement

With rising global production and population, the globalized globe has also seen severe environmental damage. This is why renewable energy sources are important for the planet's future and human progress. In order to fight climate change and decrease emissions, promoting energy efficiency is one of the most valuable strategies. Trade patterns across borders, however, have significantly evolved. This analysis provides new evidence regarding the influence of technological progress, and more specifically, industrial innovation, on the OECD countries' international competitiveness. This article aims to analyse the effects of international commerce, FDI, and human capital on the development of renewable energy sources, energy efficiency measures, and cutting-edge technologies. In this analysis, we look at how different variables, including GDP per capita, trade, FDI, human capital, and urbanization, affect one another. To conduct the analysis, researchers used a pool of annual time series data from 2000 to 2019 for OECD economies. The long-term relationship between the variables is estimated using the AMG estimation, Cup-FM, and Cup-BC test. AMG estimation, Cup-FM estimation, and Cup-BC estimation were all used, providing valid results for the investigation. Research shows that energy efficiency, renewable energy, and technological innovation are negatively affected by FDI and urbanization but positively affected by GDP per capita, trade, and human capital. There is no statistically significant effect of human capital on the dependent variables. The estimated results also provide important policy consequences for the chosen and the other emerging economies in creating an adequate route ahead to sustainable development.

Does environmental psychology matter: role of green finance and government spending for sustainable development

Over 30% of the global GDP and 60% of the worldwide population are involved in the Belt and Road Initiative (BRI), making it one of the greatest development projects in the world. If infrastructure developments in BRI countries are successful, economic growth in those nations will increase dramatically. Using data from 2005 to 2020, this research examines the relationships between environmental psychology, green finance, and sustainable development and variables such as GDP per capita and its square, green financing, government expenditure, and human capital in 57 strategically chosen BRI economies. Economists used cutting-edge techniques that take into account multiple variables at once in their analysis, such as cross-sectional dependence, unit root testing, co-integration analysis, IFE estimation, dynamic panel data (DCCE), and generalized method of moments (system GMM). The findings indicate that green financing, government spending, and GDP per capita squared reduce emissions of carbon dioxide. In this analysis, the level of human capital is similar to GDP per capita in its beneficial effect on carbon emissions. Carbon emissions are negatively impacted by government spending, which has a minor effect on GDP per capita, green financing, and human capital. Using the results of this study, the authors offer recommendations for how a country can reduce its carbon output.

Assessing the impact of entrepreneurial education activity on entrepreneurial intention and behavior: role of behavioral entrepreneurial mindset

This study explores the relationship between Entrepreneurship Education (EE) and Entrepreneurial Intentions (EI) using the Theory of Planned Behavior (TPB). From January through May of 2022, students from 10 Chinese institutions were surveyed using an online questionnaire. According to the research, students' EI scores rose significantly after participating in EE. In addition, students in China had a more significant impact on EI regarding factors like perceived feasibility and desirability. This study extends the body of knowledge about the connection between prior exposure and early intervention (EI) by demonstrating the beneficial effects of PE on EI. In addition, the results suggest that girls have lower EI than males, which is good news for gender equality. Lastly, the behavioral entrepreneur attitude has a favorable correlation with EI. Policymakers and university administrators might use the findings to understand better how and when extracurricular activities (EE) improve students' emotional intelligence (EI). A pioneering empirical study in a developing South-Asian setting shows the relevance of EE on EI among students at private universities. According to the study, EE generates EI, and entrepreneurial enthusiasm is crucial.

Measuring the macroeconomic determinants of agricultural price volatility: Implications for natural resource commodity prices for green recovery

With rapid growth, green economic recovery has been a key agenda for the globe. However, the price volatility for natural resources plays a significant role in reshaping the green recovery. Therefore, the current study investigates the impact of green recovery, hum, a capital index, GDP growth, foreign direct investment and inflation on natural resource volatility in China from 1995 to 2020. In order to investigate the long-term association among selected variables, this study employs the Autoregressive Distributive Lag (ARDL) model. In addition, the current research uses the Aikaik information (AIC) criteria for the model selections. Obtained outcomes show the significant contribution of green recovery, human capital, GDP growth, FDI and inflation increase the natural resource price volatility level. However, to validate the results of ARDL, this study also used the ECM approach and validated the prior findings. On behalf of outcomes, the current study implies some imperative policies to attain the desired objective for green growth.