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This study was conducted to review the overview of green growth and examine the role of financial inclusion as well as economic integration and other variables on green growth in Association of Southeast Asian Nations (ASEAN) countries.

Principal component analysis (PCA) was used to construct financial inclusion variables and panel data regression analysis to examine the effect of financial inclusion and economic integration on green growth in 10 ASEAN countries from 2010 to 2021.

The results showed that financial inclusion had played a role in supporting green growth in ASEAN. The rapid development of green finance and green bonds promoted the implementation of better green growth. The variables of export diversification and trade openness had a significant effect on green growth. Therefore, there is a need for appropriate policies to prevent negative effects on the environment and the behavior of ASEAN countries.

The findings of this study suggest that policymakers in ASEAN countries not only focus on gaining economic benefits from financial inclusion and economic integration activities but also pay attention to environmental impacts. Moreover, the ASEAN region is actively developing strategic steps in providing easy access to capital and finance as well as expanding international trade activities through ASEAN Free Trade Area (AFTA). Therefore, it is hoped that apart from being able to establish sustainable policies, this region will also encourage and optimize previous policies to make them more environmentally friendly.

This study used a green growth approach with the Index by the Global Green Growth Institute. This index considered aspects of green economic opportunities and social inclusion that have not been applied in previous studies. In addition, this study contributed to review the activities of economic integration and financial inclusion and the sustainability of green growth in ASEAN countries. Until now, there has been no research focused on ASEAN; even though ASEAN has long carried out economic integration and encouraged financial inclusion policies, this region is vulnerable to environmental degradation issues.

The gradual expansion of the tourism sector is raising concerns about whether tourism-based economies are conducive to supporting green growth. Hence, the current study aims to analyze the direct impact of tourism motives on green growth along with the indirect impact of tourism-based economic expansion while controlling for country risk and renewable energy.

An unbalanced panel data for a sample of 21 countries comprising OECD and non-OECD economies are employed for the analysis.

Regression results reveal that leisure tourism (LT) significantly and positively influences CO₂ intensity compared to business tourism (BT). Propensity score matching results show that the most traveled tourist destinations contribute more to CO₂ intensity than those less traveled. Mediation analysis by employing Baron and Kenny’s three-step regression, Sobel’s test and Monte Carlo test shows that tourism-based economic expansion significantly mediates between the nexus of LT and CO₂ intensity.

Results of the study provide useful practical implications for sustainable economy and green growth. It recommends to mitigate the challenges of LT, reducing the negative impact and to harness the potential of BT, enhancing the positive influence, through various policies and practices.

This study is the first to examine the impact of LT and BT on green growth, to explore the role of destination popularity and the mediating role of tourism-based economic expansion in this relationship.

Basing himself on the premise that present economic progress cannot follow the ‘Business as usual paradigm’ and hope for continued and unlimited progress, the author holds that we need to look into the larger dimensions of growth and development, which include social, environmental and other complex factors. So in this chapter, the author makes some pertinent suggestions for a sustainable growth model inspired by green growth and degrowth.

The first section evaluates the salient features of green growth and its drawbacks. It is followed by a discussion on the notion of degrowth, with its challenge to change the direction of growth (economic, ecological, social and cultural), without which human civilisation, as we know it today, may not survive. Finally, in the concluding chapter, based on these two notions of green growth and degrowth, an all-inclusive and sustainable regrowth model is propounded.

By creating an awareness of the need to shift development goals and Corporate Social Responsibility (CSR), the author argues that we could use economic regrowth strategically and responsibly to make the world more sustainable and viable. Responsible corporates will make their contribution to such an organic, resilient and sustainable regrowth and their CSR activities could be the starting point for this change, without which humanity's future is seriously threatened.

Finally, the author acknowledges that humanity has profited from the tremendous technological and economic progress we have made in the last four centuries, learnt from its mistakes and are ready to reorient ourselves individually and collectively towards a sustainable economic regrowth.

The development of green economy is of academic and policy importance to governments and policymakers worldwide. In the light of the necessity of renewable energy to sustain green economic growth, this study aims to examine the relationship between renewable energy consumption and green economic growth, controlling for the impact of trade openness for Organization for Economic Co-operation and Development countries over the period 1990-2015, within a multivariate panel data framework.

To investigate the long-run relationship between variables, panel cointegration tests are performed. Panel Granger causality based on vector error correction models is adopted to understand the short- and long-run dynamics of the data. Furthermore, ordinary least square (OLS), dynamic OLS and fully modified OLS methods are used to confirm the long-run elasticity of green growth for renewable energy consumption and trade openness. Moreover, system generalized method of moment is applied to eliminate serial correlation, heteroscedasticity and endogeneity problems. The authors used the panel Granger causality test developed by Dumitrescu and Hurlin (2012) to infer the directionality of the causal relationship, allowing for both the cross-sectional dependence and heterogeneity.

The results suggest that renewable energy consumption and trade openness exert positive effects on green economic growth. The results of long-run estimates of green economic growth reveal that the long-run elasticity of green economic growth for trade openness is much greater than for renewable energy consumption. The estimated results of the Dumitrescu and Hurlin (2012) test reveal bidirectional causality between green economic growth and renewable energy consumption, providing support for the feedback hypothesis.

This paper provides strong evidence of the contribution of renewable energy consumption on green economy for a wide range of countries. Despite the costs of establishing renewable energy facilities, it is evident that these facilities contribute to the green growth of an economy. Governments and public authorities should promote the consumption of renewable energy and should have a support policy to promote an active renewable energy market. Furthermore, the regulators must constitute an efficient regulatory framework to favor the renewable energy consumption.

Many countries focus on increasing their GDP without taking the environmental impacts of the growth process into account. This paper shows that renewable energy consumption points to the fact that countries can still increase their economic growth with minimal damage to environment. Despite the costs of adopting renewable energy technologies, there is still room for economic growth.

This paper provides evidence on the contribution of renewable energy consumption on green economic growth for a wide range of countries. The paper focuses on the impact of renewable energy on economic growth by taking environmental degradation into consideration on a wide scale of countries.

The international institutions, policymakers and governments are promoting green growth as a policy objective for global financial stability (FS) without sound empirical investigation. Therefore, the purpose of this study is to investigate whether the green economy would be successful in achieving its main objective i.e. stabilizing the world financial system because the investment stakes are too high for this green transition.

The study used the two-step system generalized method of moments (GMM) methodology on panel data of 90 countries for 6 years from 2010 to 2015 to investigate the impact of green growth economy on FS.

The results of the current study revealed that overall green growth enhanced FS in the country for both the short and long run. However, the social inclusive dimension of green growth was irrelevant in creating FS.

The results of the current study validate the growth-led finance hypothesis and encourage the policymakers to strengthen the policy initiative for green growth. Because green growth mitigates economic and environmental risk to create a stable financial environment. However, social inclusiveness needs to be explored through alternate paradigm in relevance to FS.

As per the author’s knowledge, it is a pioneer study to empirically investigate the impact of green growth on FS which would be useful in understanding the green growth and FS dynamics.

This paper aims to research the relationship between income gap (IG) and green economic growth based on the perspective of economic inequality.

Based on the panel data of 283 prefecture-level cities in China from 2011 to 2020, this paper uses the super slack based model (Super-SBM) to measure the efficiency of regional green economic growth, and constructs a regression model of the IG and regional green economic growth.

Firstly, the IG has an inhibitory effect on the growth of regional green economy (GE). Secondly, the relationship between the IG and regional green economic growth will be affected by the threshold value of income level. Thirdly, environmental regulation and government competition will increase the inhibitory effect of the IG.

According to the characteristics of China's regional economy, the researchers construct an empirical model of the IG and green economic growth to study their relationship, the threshold effect of income level and the moderating effect of environmental regulation and local government competition. The research content, methods and conclusions of this paper provide new evidence for the sustainable growth of China's regional GE.

The purpose of this paper is to analyze the influence of the green talent dividend on China’s economic growth and regional differences using a theoretical derivation of the Cobb–Douglas production function.

This study develops a measurement model with human capital based on Chinese inter-provincial panel data for 2001–2017, and analyzes the influences on economic growth of employees’ education level, per capita material capital, green labor participation rate and green jobs. The study explores the impact of the green talent dividend on regional economic growth for different regions.

Employees’ education level, per capita material capital, green labor participation rate and green jobs promote China’s economic growth. The dependency ratio hinders economic growth. The green labor participation rate impacts economic growth more than green jobs do. Furthermore, the scale of green talent in China and its dividend effect are regionally unbalanced. Therefore, to fully release the dividend of green talent, the green labor participation rate should be improved to promote the rational flow of talent among regions.

These findings shed light on the talent dividend, provide a theoretical basis for the formulation of relevant talent policies, and show that the demographic dividend can be transformed into the green talent dividend, which has practical significance for the sustainable development of China’s economy given its aging population.

This study provides a macro perspective on the green talent dividend’s impact on economic growth. The Cobb–Douglas production function in this study differs from the traditional micro perspective on green labor.

The purposes of this study are to contribute to the limited green growth (GG) literature in emerging markets, to analyze GG from a financial economy perspective and to determine the contribution of financial development and innovation to GG in Brazil, Russian Federation, India, China and South Africa and Türkiye (BRICS-T). BRICS-T countries significantly impact the world population, international politics, energy resources and economy. In addition, BRICS-T countries are one of the leading countries in the world with their sustainability efforts. Investigating the GG model in these countries may contribute to structuring emerging economies around the principles of GG and advancing global green transformation efforts.

The authors applied panel data analysis from 2001 to 2019. GG is economic growth free from environmental depletion in the model. National income, personnel expenditure and foreign direct investments are macroeconomic variables. These variables measure economic development and promote economic and social progress, which is essential for GG. Capital accumulation and innovation are essential tools in GG transformation. Therefore, financial development and patent applications represent the moderating variables. The authors estimate the fixed effect model with Parks-Kmenta robust.

Empirical results show that national income growth and foreign direct investments positively affect GG. Personnel expenditure negatively affects GG. On the contrary, financial development and patent growth have little moderating role.

This study contributes to the literature on creating a GG model in emerging countries. The study is original in its model and sample.

The purpose of this study is to examine the impact of green finance (i.e. green investment, green security and green credit) along with capital formation and government educational expenditures on the economic development of (ASEAN) countries.

The data were gathered from the central banks of all ASEAN countries and the World Bank Indicators between 2008 and 2019. The fixed-effect model and generalized method of moments were used to check the nexus between the constructs.

The results revealed that green finance along with capital formation and government educational expenditures have a positive association with the economic development of ASEAN countries.

The study carries some limitations, even though it addresses the underlying variables comprehensively. These limitations provide opportunities to future researchers and authors to expand the scope and accuracy of their study. This research investigation has been supported by the data collected from a single source. Though data collection is maintained correctly, it is still recommended to the upcoming scholars to acquire data to reconfirm the same findings using multiple data sources. The data collected from using some specific data source may be limited in scope and may hinder the comprehensive elaboration of the underlying variables and their mutual relationship. Therefore, the utilization of multiple sources of data collection gives data sufficient to meet the requirement of an okay quality research study. The study is about the economies of ASEAN countries. It checks the influences of green finance development on economic activities and the country's economic growth in ASEAN countries' economies. Thus, its results are valid only in the economies of these countries, and this research investigation lacks generalizability. For generalizability, the authors must consider the underlying variables in the world's vast economies. They must adopt a standard scale to judge the impacts of green financial development on economic development. Besides, the study analyzes the economic factors, economic conditions and their effects on the country's position in the world economy in the face of a severe epidemic like COVID-19. Thus, the results may be different in the case of the normal situation. So, a general standardized study is recommended to be conducted in the upcoming days.

Green finance has significant capability to improve the global economy, especially amidst the COVID-19 pandemic. This study is beneficial for policymakers to develop policies related to economic development with reference to green finance and also helps future research on a similar topic.

The purpose of this study is to present a bibliometric and network analysis that uses the Scopus and Dimension databases to provide new insights into the progression toward the study of sustainable economic development.

This analysis has been drawn on 665 papers published between 2015 and 2023. Bibliometric analysis characterizes a research topic by identifying leading nations, the most significant authors and expressive publications. Network analysis revealed keyword evolution over time, co-citation patterns and study grouping. Content analysis was used to identify major topic in the discipline, with a focus on their interrelationships. Each publication in the data set is briefly described, along with its methodological approach.

The results of this study show that green finance plays a major role in long-term economic growth, having a significant influence on the preservation of environmental quality, economic efficacy and a more comprehensive economic system. Financial technology also accelerates the transition to a carbon-neutral economy by enhancing the beneficial effects of green finance on aspects of the economic system and environmental conservation.

The investigation is based only on Scopus and Dimensions-indexed journal articles. However, additional studies should incorporate publications from other reputable databases, such as Web of Science, PubMed and Science Direct, for the bibliometric analysis, so that the findings of the model analysis become more reliable and valid with examination of more documents. The visualization of similarity viewer was used for data analysis in the study, there is a scope for using other tools such as Biblioshiney and CitNet Explorer.

To support long-term economic growth, authorities should encourage Fintech companies to actively participate in various green finance initiatives and environmental conservation businesses. Financial managers should facilitate the integration of technology and green finance for financial services. It is important to encourage institutional and individual investors alike to look into more environmentally friendly ways to invest and save money. Policymakers should provide a platform for global awareness and government agencies should enhance their recommendations to state governments to increase the efficacy of green finance.

This study contributes to the literature by investigating the relationship between Fintech and green financing. This study holds significance for financial intermediaries, industrialists, investors and policymakers by providing insights into the integration of Fintech with green finance for sustainable development. These findings affirm the pivotal role of Fintech and green finance in fostering sustainable economic development. The novelty of the topic and the variety of publications in which it has been published demonstrate that sustainable economic development has piqued the interest of a wide range of areas.