Formulating ecological sustainability policies for India within the coal energy, biomass energy, and economic globalization framework.

The betterment of environmental conditions is widely recognized as a significant priority for India, which is a critical aspect of the Sustainable Development Goals (SDGs). As an emerging economy, pursuing economic expansion is paramount, requiring significant amount of energy and a degree of openness to other nations. Meanwhile, the nation's energy demands are heavily met by the usage of biomass and coal energy sources. Furthermore, the nation is part of the top consumer of biomass and coal energy globally. However, over the last 50 years, the level of ecological footprint in India has surged by about 82%, despite the country's commitment to achieving environmental sustainability, which tends to raise concerns such as: What is the role of India's major energy sources, biomass, and coal energy, towards ecological sustainability? Does economic globalization promote and hinder India's environmental sustainability goals? As a result, this current study offers answers to these concerns by investigating the effect of economic globalization, coal energy, and biomass energy on the ecological footprint in India while controlling economic growth. Using the dynamic ARDL to analyze the dataset from 1970 to 2018, the result suggests that biomass energy and economic globalization improve ecological quality. However, economic growth and coal energy impede ecological quality in India. Furthermore, we adopted the time-varying causality test solely to understand the causality analysis, which established that economic globalization, biomass energy, economic growth, and coal energy could forecast the future direction of the ecological footprint.

Moderating role of green innovation and fiscal expenditure towards achieving the Sustainable Development Agenda 2030 at provincial-level in China: policy implication from green total factor productivity.

Amidst resource loss and environmental protection constraints, achieving green development necessitates enhancing green total factor productivity (GTFP) as a means of promoting rational and efficient resource allocation, thereby balancing economic growth and environmental preservation. Meanwhile, literature on the subject matter of GTFP from a sustainability viewpoint is minimal. As a result, this study employs the panel dataset from 30 provinces of China spanning the period 2005 to 2020 and utilizes the method of moments quantile regression (MMQR) developed by Machado and Santos Silva (2019) to analyze the heterogeneous role of green innovation, environmental regulations, and fiscal expenditure on GTFP. Moreover, the controlling variable for this study includes renewable energy and economic growth. Furthermore, this study investigates the heterogeneous combined impact of green innovation and fiscal expenditure (GTE*FSE) on GTFP. The findings of the MMQR reveal that green innovation has a positive impact on GTFP, while fiscal expenditure, environmental regulations, and renewable energy consumption have a negative impact. GTE*FSE has a positive and significant effect on GTFP, indicating that FSE can reinforce and increase the positive impact of GTE on GTFP in the long run. The study also reveals that economic growth has a mixed effect on GTFP, depending on the quantiles. Furthermore, environmental regulation has a significant and negative impact on GTFP, contradicting the Porter hypothesis. Likewise, the robustness of the findings is confirmed by the results of the fully modified OLS (FMOLS) and dynamic OLS (DOLS) estimations, which indicate a similar impact of the determinants on GTFP as observed in the MMQR analysis. This reinforces the validity of the findings and suggests that the observed relationships are robust to different estimation techniques. Furthermore, the findings of the Dumitrescu and Hurlin (D-H) panel causality test reveal significant bidirectional causality between renewable energy consumption and GTFP and fiscal expenditure and GTFP. Policy-makers need to channel a large chuck of their fiscal spending into green innovation so as to boost sustainability.

The role of energy, political stability, and real income on achieving carbon neutrality: asymmetric evidence.

Apart from business considerations stemming from the marketplace, businesses, individuals, and the economy at large, political decisions also play a role on environmental quality. Governments make a series of policies that impact private businesses, sectors, the environment, and the economy at large. In this paper, we test the asymmetric role of political risk on CO2 emissions, while controlling for renewable energy, non-renewable energy, and real income: policy toward environmental sustainability objectives in the context of Turkey. To realize the motive of this study, we capture the asymmetric effect of the regressors by adopting the nonlinear autoregressive distributed lag method (NARDL). This research adds to the environmental literature in terms of methodological and empirical. Methodologically, the study shows that a nonlinear relationship exists among the variables, and it has a significant impact on environmental sustainability targets. The outcome of the NARDL indicates that the increasing political risk, non-renewable energy, and economic growth follow a trajectory trend on carbon emissions, which is unsustainable in Turkey, but renewable energy is sustainable. Moreover, decreasing real income and non-renewable energy decreases carbon emissions. This research also deployed the frequency domain test to capture the causal association of the concerned variables and the outcome indicates political risk, renewable energy, non-renewable energy use, and real income are predictors of CO2 in Turkey. From this result, policies geared toward promoting a sustainable environment were formulated.

Environmental sustainability in Vietnam: evaluating the criticality of economic globalisation, renewable energy, and natural resources.

Vietnam's goal of achieving a certain level of decarbonisation by 2030 is difficult despite its awareness of the threat posed by climate change. However, the country is endowed with natural resources and the increasing dependence on the global economy coupled with greater investment in alternative energy sources are some of the factors responsible for economic expansion in recent years. Hence, the question arises "what are the environmental impacts of economic globalisation, economic growth, natural resources, and renewable energy in Vietnam?", which constitutes a major policy problem. In this study, a time series dataset stretching from 1984 to 2019 is employed to scrutinise the impact of economic globalisation, economic growth, natural resources, and renewable energy on Vietnam's CO2 emissions. This goal is achieved by employing the ARDL bounds testing procedure, dynamic ARDL, and spectral Granger-causality test. Moreover, the outcomes from the dynamic ARDL showed that economic globalisation and economic growth lead to environmental deterioration, whereas it is mitigated by renewable energy. Lastly, the outcomes from the spectral Granger-causality test indicate that a feedback causality association exists between CO2 emissions and the regressors, namely economic globalisation, renewable energy, and economic growth, while no causality connection exists between CO2 emissions and natural resources. Hence, we suggest that actions for reducing emissions should involve the implementation of energy-efficient techniques and renewable technologies within the energy value chain.

Consumption-based CO2 emissions in Denmark: The role of financial stability and energy productivity.

Climate change can be mitigated and policies can be catalyzed with the aid of financial institutions. By maintaining and strengthening financial stability, the financial sector's resilience could help mitigate climate-related risks and uncertainties. Hence, an empirical investigation on the effect of financial stability on consumption-based CO2 emissions (CCO2 E) in Denmark is long overdue. This study investigates the financial risk-emissions relationship in the presence of energy productivity, energy consumption, and economic growth in Denmark. Furthermore, by adopting an asymmetric approach to analyze the time series data for the period between 1995 and 2018, this study helps bridge this major gap in the literature. By adopting the nonlinear autoregressive distributed lag approach (NARDL), we discovered that the positive variation in financial stability causes a reduction in CCO2 E, but the neutral connection was reported between the negative shock in financial stability and CCO2 E. The positive shock in economic growth and energy consumption intensifies CCO2 E; however, a neutral interaction exists between the negative shock in economic growth and CCO2 E. The negative shock in energy consumption has a positive effect on CCO2 E, indicating a mitigating implication on environmental degradation. In addition, a positive shock in energy productivity enhances environmental quality, while a negative shock in energy productivity increases environmental degradation. In light of the results, we suggest some robust policies for Denmark and other smaller but wealthy nations. Moreover, in order to develop sustainable finance markets, policymakers in Denmark need to mobilize both public and private finance while maintaining a balance with other economic needs of the nation. The country must also identify and understand potential avenues for scaling up private financing for mitigating climate risk. Integr Environ Assess Manag 2023;19:1485-1494. © 2023 SETAC.

Enhancing environmental quality in Portugal: can CO2 intensity of GDP and renewable energy consumption be the solution?

Despite Portugal's effort to reduce carbon emissions, the country still emits about 1.6% of the European Union's CO2 emissions. Meanwhile, limited empirical studies have been undertaken in the context of Portugal. As a result, this study examines the asymmetric and long-term impact of CO2 intensity of GDP, energy consumption, renewable energy and economic growth on CO2 emissions in Portugal from 1990 to 2019. The nonlinear autoregressive distributed lag (NARDL) is employed to uncover the asymmetric connection. The findings show that there is nonlinear cointegration among the variables. The long-run estimation reveals a positive change in energy consumption positively affects CO2 emissions, while a negative shock in energy consumption has a neutral effect on CO2 emissions. Furthermore, positive shocks of economic growth and CO2 intensity of GDP enhance environmental deterioration by increasing CO2 emissions. Meanwhile, the negative shock of these regressors positively impacts CO2 emissions. In addition, positive shocks in renewable energy enhance environmental quality, while negative shocks in renewable energy increase environmental deterioration in Portugal. Policymakers should focus on reducing per-unit energy usage and CO2 efficiency gains, which would necessitate a significant reduction in CO2 intensity and energy density of GDP.

Does the potency of economic globalization and political instability reshape renewable energy usage in the face of environmental degradation?

Since renewable energy is essentially non-carbohydrate in nature, it can generate little or no pollutants and can therefore help in achieving both sustainable development and environmental quality. In this regard, the question that continues to persist is whether economic growth, economic globalization, and political risk can potentially affect renewable energy in the presence of environmental deterioration. In this context, the current research provides evidence to support this theoretical context by investigating the impact of economic globalization, economic growth environmental degradation, and political risk, on the usage of renewable energy in Vietnam using a dataset spanning the period between 1984 and 2019. For empirical analysis, the dynamic autoregressive distributed lag approach is utilized. Based on our analysis, economic growth positively impacts renewable energy in the long and short term. Economic globalization also positively affects renewable energy in the long term, but a neutral impact is uncovered in the short term. Political risk and environmental degradation are adversely related to renewable energy in the short and long run. The findings from the frequency domain approach reveal a causal interaction from political risk to renewable energy, and from renewable energy to economic globalization, whereas a feedback causal interaction is discovered between renewable energy and environment degradation, as well as between economic growth and renewable energy. From a policy standpoint, we propose that the Vietnamese policymakers need to consider economic globalization as a renewable energy promotion tool via capital inflow, foreign direct investment, and technological transfer.

Re-visiting the resource curse hypothesis in the MINT economies.

Natural resources are extremely important to the economy, particularly in emerging nations such as the MINT (Mexico, Indonesia, Nigeria, and Turkey) nations. To improve their economic performance, such nations put a priority on maximizing the use of natural resources. These natural materials are the basis on which all living creatures rely, and they are the primary motivation behind contemporary production. Therefore, the current research utilizes a dataset spanning the period from 1970 to 2019 to assess the effect of natural resource on economic growth for the MINT nations. The present study uses a unique quantile-on-quantile regression (QQR) approach to assess this interrelationship. Furthermore, we apply the novel quantile causality suggested by Troster (2018), which identifies causality across quantiles. The findings from the QQR reveal that in the majority of the quantiles, the effect of natural resources on economic expansion is positive in Nigeria and Mexico, while it is negative in Indonesia and Turkey. In addition, a feedback causality is found between economic growth and natural resources for Mexico, Indonesia, and Nigeria. Based on the results, it is paramount for policymakers to develop policies or frameworks that promote cleaner energy sources and more effective use of natural resources, which can aid the country's economic growth.

Race to achieving sustainable environment in China: Can financial globalization and renewable energy consumption help meet this stride?

Investigating the drivers of CO2 emissions is essential for limiting global warming, which has sparked widespread concern. This study evaluates the association between economic complexity and CO2 emissions in China, considering the effect of disintegrated energy and financial globalization on the environmental function between 1970 and 2018. This dataset was analyzed using the autoregressive lag model (ARDL) and frequency-domain causality approaches. The ARDL unveiled that urbanization, economic complexity, financial globalization, and economic growth deteriorate the environment while environmental sustainability is achieved through renewable energy utilization. The study also validates the Environmental Kuznets Curve hypothesis. Also, the frequency-domain causality disclosed that all regressors (economic growth, financial globalization, economic complexity, and urbanization) could forecast CO2 emissions in China at different frequencies. Based on these outcomes, policy recommendations are formulated.

The effect of financial globalization and natural resource rent on load capacity factor in India: an analysis using the dual adjustment approach.

Currently, the most crucial economic and ecological issues are related to environmental degradation and sustainability. On this backdrop, this paper examines the impact of financial globalization and natural resource rent on load capacity factor, using the novel dual adjustment approach and time-frequency domain causality approaches, in the case of India. This study contributes to the extant body of knowledge in the area of environmental economics. First, it is the first attempt to analyze the factors responsible for load capacity factor, specifically for India. As such, studies on environmental concerns on both the supply and demand sides are put into consideration. Empirical results show that only renewable energy consumption lessens the load capacity factor, while economic growth and financial globalization are positively correlated with the load capacity factor, and natural resource rent is insignificant in the short run. In the long run, only economic growth is negatively correlated with load capacity factor, while the other series positively influence load capacity factor. To reap greater ecological merits, policymakers should focus on transitioning from conventional non-renewable energy sources that contribute to rising carbon emissions to more cost-effective and dependable renewable sources of energy that support sustainable growth and a healthy environment.

Investigation of the driving factors of ecological footprint in Malaysia.

Malaysia's growing trends in energy production-elated emissions throw doubt on the country's possibility of meeting the Paris Climate Change Agreement and SDG obligations. Taking into account Malaysia's current growth pattern and climatic circumstances, this study evaluates the association between ecological footprint and its potential determinants: economic growth, oil consumption, renewable energy and domestic capital investment for the period between 1965 and 2017. The stationary nature of the parameters is investigated using the conventional unit root approach (ADF and PP unit root) and structural break unit root (ZA unit root). The bounds approach in combination with the critical approximation p-values of Kripfganz and Schneider (2018) established a cointegration association between the observed parameters. The ARDL approach uncovered that economic growth and oil consumption contribute to ecological footprint. Furthermore, renewable energy consumption and gross capital formation reduce the ecological footprint. The FMOLS and DOLS estimators were applied as the sensitivity analysis of the ARDL estimators. Furthermore, the spectral BC causality approach was also utilized to investigate the causal association betweefataln ecological footprint and its determinants.

Toward a sustainable environment and economic growth in BRICS economies: do innovation and globalization matter?

Over the last few decades, environmental deterioration has accelerated significantly. Environmental degradation has been a subject of research across the world because of its impact on billions of people. However, there has been no international agreement on lowering the utilization of energy and CO2 emissions (CO2), while demand for fossil fuels grows in emerging economies. On the other hand, the recent COP26 summit brought all parties together to accelerate action toward reaching the goals of the Paris Agreement and the UN Framework Convention on Climate Change. Although previous research shows that international trade promotes positive socioeconomic outcomes, other experts argue that it contributes to natural resource shortages and ecological deterioration. Thus, the current research considers the effect of international trade, renewable energy use and technological innovation on consumption-based carbon emissions (CCO2), coupled with the role of financial development and economic growth in the BRICS economies between 1990 and 2018. Moreover, this research utilizes the common correlated effects mean group (CCEMG), augmented mean group (AMG) and Dumitrescu and Hurlin (2012) causality methods to assess these interrelationships. The study findings reveal that renewable energy use, exports and technological innovation mitigate CCO2, whereas economic growth and imports trigger CCO2 in the BRICS economies. The panel causality outcomes also reveal that all the variables except financial development can predict CCO2 emissions. Based on the study findings, we recommend the adoption of policies, regulations and the development of legislative frameworks that promote technological innovation and the shift toward sustainable energy.

A Roadmap toward Achieving Sustainable Environment: Evaluating the Impact of Technological Innovation and Globalization on Load Capacity Factor.

Technological innovations have been a matter of contention, and their environmental consequences remain unresolved. Moreover, studies have extensively evaluated environmental challenges using metrics such as nitrogen oxide emissions, sulfur dioxide, carbon emissions, and ecological footprint. The environment has the supply and demand aspect, which is not a component of any of these indicators. By measuring biocapacity and ecological footprint, the load capacity factor follows a certain ecological threshold, allowing for a thorough study on environmental deterioration. With the reduction in load capacity factor, the environmental deterioration increases. In the context of the environment, the interaction between technological innovation and load capacity covers the demand and supply side of the environment. In light of this, employing the dataset ranging from 1980 to 2017 for the case of South Africa, the bound cointegration test in conjunction with the critical value of Kripfganz and Schneider showed cointegration in the model. The study also employed the ARDL, whose outcome revealed that nonrenewable energy usage and economic growth contribute to environmental deterioration, whereas technological innovation and globalization improve the quality of the environment. This study validated the hypothesis of the environmental Kuznets curve for South Africa, as the short-term coefficient value was lower than the long-term elasticity. Furthermore, using the frequency-domain causality test revealed that globalization and economic growth predict load capacity in the long term, and nonrenewable energy predicts load capacity factors in the long and medium term. In addition, technological innovation predicts load capacity factors in the short and long term. Based on the findings, we propose that policymakers should focus their efforts on increasing funding for the research and development of green technologies.

The influence of renewable energy usage on consumption-based carbon emissions in MINT economies.

An accurate carbon emissions measurement is critical for developing an appropriate climate strategy to address ecological issues. A meaningful climate policy reaction can be offered based on trade adjusted statistics of carbon emissions. This research utilizes second-generation panel co-integration techniques to investigate the influence of globalization and renewable energy utilization on consumption-based carbon emissions (CCO2) as well as the role of nonrenewable energy use and economic growth in the MINT-(Mexico, Indonesia, Nigeria and Turkey) countries from 1990 to 2018. The outcomes of the cross-sectional dependency and heterogeneity tests revealed slope heterogeneity and cross-sectional units across nations. Furthermore, the outcomes of the cointegration test provided evidence of a long-run association between consumption-based CO2 emissions (CCCO2) and the regressors. Moreover, the outcomes of both common correlated effect mean group (CCEMG) and augmented mean group (AMG) unveiled that economic growth and nonrenewable energy utilization contribute to the degradation of the environment, while globalization and renewable energy utilization help to curb the degradation of the environment. Furthermore, the outcomes of the causality test showed that all the regressors can predict CCO2 emissions in the MINT nations. Thus, policy channeled towards globalization, economic growth, and renewable energy utilization will have a significant effect on CCO2 emissions. Based on the study outcomes, significant policy recommendations are made for policymakers in the MINT nations.

Ecological footprint, public-private partnership investment in energy, and financial development in Brazil: a gradual shift causality approach.

The present study assesses the effect of public-private partnerships in energy and financial development on Brazil's ecological footprint and also takes into account the role of renewable energy and economic growth using data spanning from 1983 to 2017. The study utilized several techniques including autoregressive distributive lag (ARDL) and dynamic ordinary least square (DOLS) to examine the relationship between ecological footprint and the determinants, while the gradual shift causality test was utilized to capture the causal linkage between the series in the presence of a single structural break. The outcomes of the Maki co-integration test revealed evidence of a long-run association among the variables of interest. Furthermore, the results of the ARDL and DOLS tests revealed that economic growth and public and private investment in energy increase environmental degradation, while it is mitigated by both renewable energy and financial development. Moreover, the gradual shift causality test revealed a bidirectional causal linkage between ecological footprint and economic growth. The present study recommends the establishment of a forum that will foster public and private partnerships to enhance communication, which will promote collaboration on new initiatives involving green technological innovations.

Dominance of Fossil Fuels in Japan's National Energy Mix and Implications for Environmental Sustainability.

Despite the drive for increased environmental protection and the achievement of the Sustainable Development Goals (SDGs), coal, oil, and natural gas use continues to dominate Japan's energy mix. In light of this issue, this research assessed the position of natural gas, oil, and coal energy use in Japan's environmental mitigation efforts from the perspective of sustainable development with respect to economic growth between 1965 and 2019. In this regard, the study employs Bayer and Hanck cointegration, fully modified Ordinary Least Square (FMOLS), and dynamic ordinary least square (DOLS) to investigate these interconnections. The empirical findings from this study revealed that the utilization of natural gas, oil, and coal energy reduces the sustainability of the environment with oil consumption having the most significant impact. Furthermore, the study validates the environmental Kuznets curve (EKC) hypothesis in Japan. The outcomes of the Gradual shift causality showed that CO2 emissions can predict economic growth, while oil, coal, and energy consumption can predict CO2 emissions in Japan. Given Japan's ongoing energy crisis, this innovative analysis provides valuable policy insights to stakeholders and authorities in the nation's energy sector.

The environmental sustainability effects of financial development and urbanization in Latin American countries.

The present study assesses the impact of urbanization, economic growth, energy consumption, and financial development on CO2 emissions in Latin American countries using a dataset spanning between 1980 and 2017. The current paper employs utilized panel econometric techniques such as CIDF, panel unit test, the Westerlund panel cointegration, fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and Dumitrescu Hurlin panel causality test to assess these associations. The outcomes from the FMOLS and DOLS estimation reveal that (i) economic growth impacts CO2 emissions positively, (ii) energy consumption exerts a positive impact on CO2 emissions, and (iii) urbanization impacts CO2 emissions positively. Furthermore, the outcomes of the causality test reveal that energy consumption and economic growth can predict CO2 emissions in Latin countries. The findings highlight the importance of policymakers actively coordinating strategies to address Latin America's severe environmental degradation.

Can CO2 emissions and energy consumption determine the economic performance of South Korea? A time series analysis.

Following the United Nations Sustainable Development Goals (UN-SDGs), which place emphasis on relevant concerns that encompass access to energy (SDG-7) and sustainable development (SDG-8), this research intends to re-examine the relationship between urbanization, CO2 emissions, gross capital formation, energy use, and economic growth in South Korea, which has not yet been assessed using recent econometric techniques, based on data covering the period between 1965 and 2019. The present study utilized the autoregressive distributed lag (ARDL), dynamic ordinary least square (DOLS), and fully modified ordinary least squares (FMOLS) methods, while the gradual shift and wavelet coherence techniques are utilized to determine the direction of the causality. The ARDL bounds test reveals a long-run linkage between the variables of interest. Empirical evidence shows that CO2 emissions trigger economic growth. Thus, based on increasing environmental awareness across the globe, it is necessary to change the energy mix in South Korea to renewables to enable the use of sustainable energy sources and establish an environmentally sustainable ecosystem. Moreover, the energy-induced growth hypothesis is validated. This result is supported by the causality analysis, which shows a one-way causality running from energy consumption to GDP in South Korea. This suggests that South Korea cannot embark on conservative energy policies, as such actions will damage economic progress. Additionally, a unidirectional causality is seen from CO2 emissions and energy consumption to economic growth. These findings have far-reaching consequences for GDP growth and macroeconomic indicators in South Korea.