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The discourse aimed to investigate green finance practices under the assumptions of several notable climate advisors and speculators in Asia and particularly in Southeast Asia. The study intrigues by considering financial specialists to vent government spending on green restoration plans leading toward green bankable venture openings for the public and private sector. This section distinguishes a few of the green fund components and approaches that can be joined by national and neighborhood governments, essentially in Southeast Asia, into their post-COVID-19 techniques, but are too valuable inputs for domestic commercial banks and private corporates.

It can be defined as a functional type for Cobb Douglas development. ARDL technology is a way of calculating complex forces at the classification level at long-term and short-term stages. This ARDL approach has many advantages and can be implemented when incorporated in level I (0) and level I first (1) with the original variable. Still, it offers robust ability to the outcomes and standardizes the lag, considering the number and sample size used. Pooled mean group (PMG) method is becoming a convenient technique for monitoring data over the period and a good approach for energy impact panels – growth ties for creating links between energy emissions and environmental sustainability and businesses in the nation.

There is a positive partnership between creativity and a sustainable world. Corporations are recommended to uphold the principles of CSR in the development process by introducing environmentally friendly advanced technologies. The main objectives of corporate social responsibility (CSR) are economic growth, environmental sustainability and social justice. Several programs have been established to expand businesses' responsibilities to improve their confessions in sustainable growth. SMEs are a primary source of production of innovative products and technologies. The key concerns of stakeholders and politicians in the new competitive business climate are the protection of environmental sustainability and social responsibility, recognizing factors driving economic development for SMEs.

During the COVID-19 era, the prime responsibility of pandemic confronting governments is to spend on help activities (that have been started in earlier phase) and recovery endeavors (yet to start in the situation). Therefore, the governments may devise policies to pool resources from commercial, private, public-private partnerships and other capital market sources. With rising hazard recognitions particularly emerging from at-threat income projections, governments ought to make the correct mechanisms and instruments that can perform this catalytic part of derisking and drawing in such capital. This too can be an opportunity for governments to enhance and execute such financial instruments that offer assistance, quicken their commitments to climate alter beneath the Paris Agreement and the sustainable development goals (SDGs), and thus “build back better” is being progressively voiced over the world.

This study aims to examine the Environmental Kuznets Curve (EKC) hypothesis in the case of 100 developed and developing nations by taking into account the role of institutional quality (IQ). Using generalized method of moments (GMM) estimators, we find an inverted U-shaped relationship between economic growth and carbon dioxide (CO₂) emissions only in the developed world but not in the developing nations. It is also revealed that control of corruption plays a vital role in reducing CO₂ emissions in high income countries. Furthermore, rule of law is found to have a beneficial effect on the environment in all countries except for low income countries. Overall, our results confirm the importance of IQ in reducing CO₂ emissions. Additionally, foreign direct investment contributes to CO₂ reduction in rich countries while deteriorates the environmental quality in developing nations. Trade openness was shown to exert a positive impact on environmental quality in developing countries. These findings can be of great importance to policy makers of different income groups in designing appropriate economic and environmental policies toward the dual goals of high growth and low pollution.

Much of the environmental sociology literature calls for economic development to lead to environmental destruction, but growing bodies of work on “ecological modernization” and “environmental Kuznets curves” (EKCs) argue that, beyond a certain point, socioeconomic development can lead to environmental improvement. A third hypothesis (Boyce) argues that inequality may be more relevant than levels of prosperity. Published findings have been sufficiently mixed to warrant more detailed analyses. This chapter considers both cross-sectional and two-wave panel data and the three competing expectations, considering air emissions and toxic manufacturing releases for U.S. counties. Air emissions tend to correlate positively with economic prosperity, supporting the “core” environmental sociology hypothesis, while toxic emissions show greater support for the EKC/ecological modernization hypothesis. The most consistent theoretical support is found among indicators of inequality and power that support the Boyce hypothesis. The findings suggest implications for policy as well as for future research.

This study investigates the relationship among economic growth, energy usage, urbanization, trade openness, carbon emission, ecological footprint, and ecological carbon footprint with the sample of G-7 countries over the period 1991–2017. The Continuously-Updated and Fully-Modified (CUP-FM) estimator method applied to the panel series is utilized. As a result of empirical analysis, an increase in the real per capita GDP increases the ecological footprint by 0.844%. Also, there are positive impacts that are detrimental to the environment among the environmental quality and explanatory variables for each established model. The findings indicate that a relationship exists among the variables in the long run, and at the same time, carbon emission as an indicator of pollution should be noticed as well as the ecological footprint and ecological carbon footprint. It is observed that a positive relationship exists among the variables such as economic growth, energy usage, and environmental pollution indicator. In this context, G-7 countries indicate that, upon taking their developed economic structures and global pollution levels into account, the Environment Kuznets curve (EKC) hypothesis becomes valid, and that the U-shaped behavior is valid for the total ecological footprint. It is been seen that, besides economic growth and energy usage, other explanatory variables contribute to environmental degradation in trade openness. In compliance with these results, in terms of the sustainability of economic development, G-7 countries should pay attention to economic activities that would impair the environmental quality and control them with regulations.

The purpose of this paper is to provide a survey of the empirical literature on environmental Kuznets curve (EKC) estimation of carbon dioxide (CO₂) emissions over the period of 1991–2017.

This survey categorizes the studies on the basis of power of income in empirical models of EKC. It has been hypothesized that the EKC shows an inverted U-shaped association between economic growth and CO₂ emissions.

For all the contexts, the results of EKC estimation for CO₂ emissions are inconclusive in nature. The reasons behind this discrepancy can be attributed to the choice of contexts, time period, explanatory variables, and methodological adaptation.

The future studies in this context should not only consider new set of variables (e.g. corruption index, social indicators, political scenario, energy research and development expenditures, foreign capital inflows, happiness, population education structure, public investment toward alternate energy exploration, etc.), but also the data set should be refined, so that the EKC estimation issues raised by Stern (2004) can be addressed.

By far, no study in the literature of ecological economics has focused on the empirical estimation of EKC for CO₂ emissions. This particular context has been used for this study, as CO₂ is one of the highest studied pollutants in the ecological economics, and especially within the EKC hypothesis framework.

The eco-innovation is considered one of the possible ways to tackle climate change. However, the conflicting empirical evidence related to the role of eco-innovation on environmental quality becomes a motivation to explore the effect of eco-innovation on environmental degradation proxied by ecological footprint. Besides, it controls economic growth, remittance inflows, trade openness and total energy consumption in the environmental degradation function.

Uses the Augmented Auto Regressive Distributed Lag (AARDL) approach to examine the cointegration relation among the series during the period ranging from 1975 to 2017 for India within the environmental Kuznets curve (EKC) framework.

The result suggests that eco-innovation can mitigate climate change by reducing the ecological footprint. Similarly, economic growth reduces the ecological footprint in the short- and long-run. However, the square of economic growth is positive and significant. Thus, it shows evidence against the conventional EKC hypothesis. The results also reveal that remittance inflows have an insignificant negative role on the ecological footprint, while total energy consumption and trade openness harm the environment by enhancing the ecological footprint.

This study provides important implications for climate change mitigation. Thus, the government should promote eco-innovation to mitigate climate change by offering a favorable legal environment to the firms to adopt the same in their production and consumption activities. It also suggests that initiatives like green strategies should give serious attention while incurring research expenditure.

No prior studies assess the impact of eco-innovation on the ecological footprint for the period of 1975–2017 in India.

Ascientific consensus has emerged indicating that the global climate is changing due to anthropogenic (i.e., human induced) driving forces. Our previous research reformulated the well‐known I=PAT (environmental Impacts equal the multiplicative product of Population, Affluence, and Technology) model into stochastic form, named it the STIRPAT model, and used it to assess the effects of population and affluence on carbon dioxide loads. Here we extend those findings by examining the impacts of population, affluence and other factors on the emissions of the greenhouse gases (GHGs) methane (CH₄) and carbon dioxide (CO₂), as well as the combined global warming potential of these two gases. We also assess the potential for “ecological modernization” or an “environmental Kuznets curve” (EKC) effect to curb GHG emissions. Our findings suggest that population is a consistent force behind GHG emissions, that affluence also drives emissions, that urbanization and industrialization increase emissions, and that tropical nations have lower emissions than non‐tropical nations, controlling for other factors. Contrary to what ecological modernization and EKC theorists predict, we find that to date there is no compelling evidence of a decline in emissions with modernization. These results support both the “treadmill of production” thesis and the “metabolic rift” thesis.

This chapter investigates the social determinants (urbanisation, population, literacy and corruption) of greenhouse gas (GHG) emissions in the top 100 developed and developing emitting countries. The data were collected from central repositories for the different variables explored for the period 2012–2020 in a cross-country analysis. Fixed effects ordinary least squares (OLS) regression was used to analyse the data. The results for all top 100 countries and developing countries show that urbanisation and corruption are significantly positive and negative determinants of GHG emissions, respectively. In addition, literacy is a significant positive determinant of GHG emissions in developing countries but not in the top 100 and developed countries. Population is not significant in the top 100 developed and developing countries. The results for the control variables suggest that primary energy consumption is a positive significant determinant of GHG emissions in the top 100 developed and developing countries. However, gross domestic product (GDP) is not a significant determinant of GHG emissions. The findings have important policy implications.

According to the crusade of the United Nations sustainable development goals (SDGs-6, 7,8,12 and 13) that addressed pertinent issues around, clean access to water, access to energy, responsible consumption and climate change mitigation alongside, respectively, Paris Kyoto Protocol agreement of mitigation of climate changes issues of vision 2030.

This purpose of this study aimed to assess the Environmental Kuznets Curve hypothesis following the ecological footprint perspective with a data set covering the period 1995–2018. It is well-established that anthropogenic human activities are the root cause of environmental deterioration. To this end, the current study is fitted in a multivariate framework to ameliorate for omitted variable bias for the data set from 1995–2018 on a quarterly frequency using autoregressive distributive lag methodology. Subsequently, the stationarity status of the study underlines series were examined with a conventional unit root test and the Pesaran’s bounds test for cointegration analysis.

Empirical evidence from the bounds test to cointegration traces the co-integration relationship between ecological footprint, conventional energy use, foreign direct investment, international tourism arrival and water resources over the sampled period. The study, in the long run, affirms the N-shaped relationship between ecological footprint and foreign direct investment in Vietnam. Additionally, the present study validates the hypothesis of energy consumption-induced pollution emissions. The relationship between international tourism arrival and quality of the environment is statistically positive in both the short-run and long-run, as 1% in international tourism arrival worsens the quality of the environment by 0.45% and 0.4% in the short-run and long-run, respectively. Interestingly, water resource's major environmental issues that have plagued the Vietnam economy are inversely related to ecological footprint. Based on findings, Vietnamese policymakers may need to consider drafting appropriate environmental policies to tackle global warming while concurrently boosting economic development.

The present study focuses on Vietnam on the determinant of environmental quality measured by a broader indicator (ecological footprint). It is well-established that anthropogenic human activities are the root cause of environmental deterioration. The present study claims to distinct from previous literature in two-folds, namely, in terms of scope. Vietnam holds a very interesting energy mix and environmental dynamics, which has been ignored in the literature. Second, we argue to be the first based on our survey to explore the theme by incorporation of water resources and foreign direct investment intensification in the conventional pollution determinant model. This is in a bid to highlights the policy blueprint for the country (Vietnam), which is currently plagued with high pollution issues and the region at large.

Due to large amounts of coal burning, huge carbon dioxide emission and poor environmental quality, it is important to identify whether environmental Kuznets curve exists in China and India since in downward period of environmental Kuznets curve, economic growth in these countries will largely contribute to world environmental quality. Further, it helps to make a comparative analysis between China and India on how economic growth will contribute to the environmental quality in both upward and downward period of environmental Kuznets curve due to energy consumption.

This study uses the data of carbon dioxide emission, per capita GDP and energy consumption from 1972 to 2017 to identify individual and panel-level environmental Kuznets curve of China and India. Before going to regression and causality analysis, unit root and cointegration tests are performed.

This study finds the existence of environmental Kuznets curve in China and India at both individual and panel level. Further, due to high energy consumption, environmental quality in China will deteriorate at a lower rate in the long run than that of India. Next, the increase in economic growth or per capita GDP in the long run will deteriorate environmental quality at a lower rate in China than that of India. Besides, with the zero level of energy consumption and per capita GDP, the environmental quality of China will be worse than that of India. However, increase in per capita GDP after threshold level will improve environmental quality in India at a higher rate than that of China.

It helps to formalize the comparative relationship between the two large Asian economies by knowing the influence of economic growth on environmental degradation due to energy consumption. However, this study cannot conclude exactly when China and India can avail the downturn in environmental Kuznets curve.

It firstly establishes a link among energy consumption, economic growth and environmental quality between China and India including comparative pace in both upward and downward period of environmental Kuznets curve.