Is there a tradeoff between financial globalization, economic growth, and environmental sustainability? An advanced panel analysis

Spatial effect of biomass energy consumption on carbon emissions reduction: the role of globalization

As globalization proceeds, increasing biomass energy consumption is an important pathway to replace fossil fuels for tackling climate change by reducing emissions. This study explores the spatial spillover effect in biomass energy carbon reduction, which is frequently ignored when investigating environmental factors. It uncovers whether globalization and its dimensions can strengthen the spatial effect of biomass energy carbon reduction. Besides, we reveal whether biomass energy consumption can promote CO2 emissions reduction while ensuring economic progress. Results show that (1) owing to the spillover effect, biomass energy consumption plays a significant role in direct and indirect enhancing carbon emissions reduction, with their feedback effects of - 0.003 or 3.3% of the direct effect. (2) Increasing overall, social and political globalization enhances biomass energy consumption's carbon reduction effect. (3) In countries with higher economic development, overall, economic and political globalization has a better promotion in the spatial effect of biomass energy carbon reduction. (4) Developing biomass energy can support the environment quality while enhancing economic growth.

Does financial inclusion and information communication technology affect environmental degradation in oil-producing countries?

Advances in financial inclusions have contributed to economic growth and poverty alleviation, addressing environmental implications and implementing measures to mitigate climate change. Financial inclusions force advanced countries to progress their policies in a manner that does not hinder developing countries' current and future development. Consequently, this research examined the asymmetric effects of information and communication technology (ICT), financial inclusion, consumption of primary energy, employment to population ratio, and human development index on CO2 emissions in oil-producing countries (UAE, Nigeria, Russia, Saudi Arabia, Norway, Kazakhstan, Kuwait, Iraq, USA, and Canada). The study utilizes annual panel data spanning from 1990 to 2021. In addition, this study investigates the validity of the Environmental Kuznets Curve (EKC) trend on the entire sample, taking into account the effects of energy consumption and population to investigate the impact of financial inclusion on environmental degradation. The study used quantile regression, FMOLS, and FE-OLS techniques. Preliminary outcomes revealed that the data did not follow a normal distribution, emphasizing the need to use quantile regression (QR). This technique can effectively detect outliers, data non-normality, and structural changes. The outcomes from the quantile regression analysis indicate that ICT consistently reduces CO2 emissions in all quantiles (ranging from the 1st to the 9th quantile). In the same way, financial inclusion, and employment to population ratio constrains CO2 emissions across each quantile. On the other side, primary energy consumption and Human development index were found to increase CO2 emissions in each quantile (1st to 9th). The findings of this research have implications for both the academic and policy domains. By unraveling the intricate interplay between financial inclusion, ICT, and environmental degradation in oil-producing nations, the study contributes to a nuanced understanding of sustainable development challenges. Ultimately, the research aims to guide the formulation of targeted policies that leverage financial inclusion and technology to foster environmentally responsible economic growth in oil-dependent economies.

Exploring the optimal threshold of FDI inflows for carbon-neutral growth in Africa

This study investigates the relationship between foreign direct investment (FDI) and CO2 emissions in Africa, primarily emphasizing carbon-neutral growth. Employing advanced econometric methods like the Generalized Method of Moments (GMM), fixed effect, and Two-Stage Least Squares (2SLS), we identify critical threshold values for key variables, including economic growth, trade openness, human capital, financial development, inflation, and population growth. Our findings indicate that GDP significantly influences the FDI-CO2 emissions relationship as economies expand, shifting from negative to positive, potentially leading to increased carbon emissions. Higher trade-to-GDP ratios are associated with reduced CO2 emissions due to cleaner technologies and greener production practices. Additionally, financial development plays a pivotal role, enabling investment in sustainable technologies. Nations with a more skilled workforce are more likely to adopt sustainable practices. The influence of population growth on CO2 emissions is complex, balancing increased demand with investments in clean technologies. The study recommends that African policymakers prioritize FDI aligned with carbon-neutral growth by promoting sustainability, investing in human capital, and carefully balancing population growth with sustainability.

Evaluating the impact of technological innovation and energy efficiency on load capacity factor: empirical analysis of India

The determinants of environmental degradation have been investigated many times by utilizing carbon dioxide emissions and/or ecological footprint. However, these traditional environmental degradation indicators do not consider the supply side of environmental problems. Therefore, this study focuses on the dynamic influence of financial development, energy efficiency, economic growth, and technological innovation on environmental degradation in India through the load capacity factor, including both the supply and demand sides of environmental problems. For that purpose, the recently developed dynamically simulated autoregressive distributed lag (ARDL) method is employed using the annual time-series data extending from 1980-2020. The dynamically simulated ARDL results demonstrate that financial development, economic growth, and technological innovation have a dynamic adverse impact on the load capacity factor, whereas energy efficiency has a positive dynamic influence on environmental quality. In addition, the results support the validity of the environmental Kuznets curve hypothesis as the negative effect of economic growth on environmental quality decreases over time. Based on the study findings, policy recommendations are provided for India. Finally, this study utilizing load capacity factor as an indicator for environmental quality will provide new topics in exploring the determinants of environmental degradation.

Achieving SDG-13 in the Era of Conflicts: The Roles of Economic Growth and Government Stability

Establishing effective climate control and reducing the ecological footprint (EF) are necessary for pursuing Sustainable Development Goals (SDGs), in particular Goal 13. In this context, it is required to enhance the understanding of various factors that can either decrease or enhance the EF. In the literature to date, limited studies on external conflicts (EX) have reported diverse results, and also the impacts of government stability (GS) on EF are less explored. This study explores the roles of external conflicts, economic growth, and government stability on EF in the context of SDG-13. The study also contributes to the literature by examining the environmental effects of government stability and external conflicts for the first time in Pakistan. This research uses time-series methodologies on data from Pakistan from 1984 to 2018 for exploring the long-run relations and causal dynamics. The results unfolded that external conflicts stimulate and Granger cause EF and therefore expand environmental deterioration. Thus, limiting conflicts is in the favor of Pakistan to achieve SDG-13. Surprisingly, government stability also poses harmful impacts on environmental quality by enhancing the EF, indicating that stable governments focus on improving economic conditions rather than environmental quality. Moreover, the study proves the validity of the environmental Kuznets curve. Policy suggestions are made to move forward in achieving SDG-13 and to evaluate the effectiveness of government environmental policies.

Understanding the Role of Technology in Asian Economies: The Environmental Impact of Remittances and Economic Complexity

In recent years, scholars have determined various determinants of environmental degradation using the panel and time-series studies. However, technological innovations (TI) and remittances, among the financial system's essential components, are relatively ignored. In addition, nations' economic progress and environmental performance also depend upon the nature of their economic structure. This empirical research investigates the effects of TI, remittances and economic complexity (EC) on CO2 controlling economic growth and trade openness (TR) in the selected 15 Asian nations. The study collected panel data of 15 Asian countries from 1990 to 2019 and employed the panel quantile regression and augmented mean group methods to unveil the impacts of variables on CO2 emissions. The empirical findings established that remittances are negatively linked with CO2 emissions. Similarly, EC reduces CO2 emissions in the context of Asian countries. In addition, EC and remittances Granger cause CO2 emissions. These findings indicate that remittances and EC positively contribute to environmental quality in Asian countries. Conversely, TI, economic growth, and TR intensify CO2 emissions in Asian countries. Finally, the study recommended policies to enhance remittances and EC in Asian countries to curb environmental degradation.

Nexus between biomass energy, economic growth, and ecological footprints: empirical investigation from belt and road initiative economies

Several emerging economies, including economies in belt and road initiative (BRI), are experiencing difficulty attaining sustainable development goals. The efficient utilization of biomass energy sources plays an essential role in attaining sustainable development goals, especially among developing economies. This study empirically investigates the ecological footprints, biomass energy demand, and per capita income association for 30 BRI economies from 1995 to 2021. The study incorporates cointegration and panel quantile regression (PQR) to identify the relationship among discussed variables. Empirical outcomes indicate a negative significant biomass energy demand and ecological footprints relationship, especially among the economies with high traits of ecological footprints. Moreover, the empirical findings also confirm the negative significant per capita income and ecological footprints relationship, while the square of per capita income approves a significant positive association with ecological footprints. These estimates confirm the EKC hypothesis among per capita income and ecological footprints. The findings of the current study help to determine the optimum level of modern biomass energy consumption, which helps to attain economic growth without compromising ecological sustainability.

The impact of technological innovation and financial development on environmental pollution in gulf cooperation council - A linear and nonlinear ARDL approach

Gulf Cooperation Council (GCC) countries are highly vulnerable to climate change, including rising sea levels, extreme weather, and other environmental and social issues. GCC countries showed remarkable economic growth and development. However, this growth and development put severe pressure on the environment, leading to the degradation of the Environment. Therefore, it is essential to investigate essential factors of environmental degradation, such as technological innovation and financial development. However, per capita income and energy consumption are also crucial factors of environmental degradation. Henceforth, the study carried out panel data from 2001 to 2019 to examine the influence of technological innovation, financial development, energy consumption, and per capita income on environmental degradation in GCC. After conducting necessary preliminary tests, the study employed a symmetric and asymmetric ARDL approach to quantify the numerical estimates. Both symmetric and asymmetric models show that technological innovation reduces environmental degradation, while energy consumption, per capita, and financial development expedite the ecological deterioration in GCC. The Wald tests demonstrate the asymmetric relationship between technological innovation, energy consumption, financial development, and environmental degradation. However, the study fails to find a significant asymmetric relationship between per capita and ecological degradation. The recommendations are added in the recommendation part of the paper.

Does globalization mitigate environmental degradation in selected emerging economies? assessment of the role of financial development, economic growth, renewable energy consumption and urbanization

While the acceleration of globalization in newly developing (emerging) economies contributes positively to economic developments on the one hand, it is a research topic that can have an impact on environmental pollution on the other hand. Therefore, this study analyzes the impact of globalization on environmental pollution for 14 emerging economies in the 1991-2018 period by including economic growth, financial development, renewable energy consumption, and urbanization in the ecological footprint model. In addition to the AMG forecaster, Driscoll-Kraay, PCSE, and FGLS estimation techniques are used for long-term forecasting. Causal linkages among variables are analyzed by the Dumitrescu-Hurlin panel bootstrap causality test. The findings show that the series are cointegrated, that is, a long-term relationship between the variables. In the long term, globalization and renewable energy consumption reduce environmental pollution, while economic growth and financial development play a role in encouraging environmental pollution. Causality analysis enumerates a causality from economic growth and financial development to environmental pollution, as well as a two-way causality between globalization and environmental pollution and renewable energy consumption and environmental pollution. Empirical findings can offer important implications for policies that will reduce environmental pollution in these countries.

Disaggregated energy use and socioeconomic sustainability within OECD countries

This study investigates the relationship between disaggregated energy use, human development, trade openness, economic growth, urbanization, and sustainability index in OECD countries from 2014 to 2019. Static, quantile, and dynamic panel data approaches are employed. The findings reveal that fossil fuels such as petroleum, solid fuels, natural gas, and coal decrease sustainability. On the contrary, alternative sources such as renewable and nuclear energy seem to contribute positively to sustainable socioeconomic development. It is also interesting to note that alternative energy sources strongly influence socioeconomic sustainability in the lower and upper quantiles. Also, the human development index and trade openness improve sustainability, while urbanization seems to be an obstacle in complying with sustainability goals within OECD countries. Policymakers should revisit their strategies toward sustainable development by mitigating fossil fuels and urbanization and promoting human development, trade openness, and alternative energy sources as drivers of economic progress.

Assessing industrialized countries' environmental sustainability performances using an integrated multi-criteria model and software

This study seeks to identify and highlight the differences in the environmental sustainability and environmental protection practices of industrialized countries. For this purpose, thirty industrialized countries were examined using a multi-criteria integrated decision model based on fourteen environmental sustainability performance criteria. An open-source software based on the Python that allows different multi-criteria decision-making methods to be used through a user-friendly interface was developed for evaluations. The results from the developed software rank Sweden first and India last in their environmental sustainability performances. Sweden stands out notably in terms of negative greenhouse gas emission technologies, afforestation, reforestation, environmental laws, carbon tax, bioenergy, and national consciousness. India, on the other hand, does not appear to handle environmental problems in a timely and appropriate manner considering its large population and development needs. Development, utilization, and expansion of renewable energy sources, waste recycling, waste reduction, proper waste disposal, and prioritization of the development of technologies with zero or negative greenhouse gas emissions have emerged as significant factors for environmentally friendly industrialization.

Does environmental tax matter for environmental degradation in the Netherlands? Evidence from novel Fourier-based estimators

This paper aims to capture the effect of an environmental tax on environmental degradation in the Netherlands while controlling economic growth, primary energy consumption, and trade in the Netherlands. As part of its climate change plan, the Netherlands government aims to reduce greenhouse gas emissions to industrial levels by 2030 and reach net-zero emissions by 2050. The present study used novel Fourier ADL cointegration, Fourier ARDL, and Fourier TY causality approaches. The outcomes of this study reveal that environmentally related taxes cause the mitigation of environmental degradation in the Netherlands, while primary energy consumption affects environmental sustainability negatively. This study provides policy implications based on the empirical results of this study, which support the Sustainable Development Goals (SDG) of 2030 through (SDG 7) affordable and sustainable energy, (SDG 9) innovation, and (SDG 13) environmental sustainability.

Exploring the impact of economic growth on environmental pollution in South American countries: how does renewable energy and globalization matter?

Most emerging economies and the South American Countries are no exception to the negative consequences of trade-off between economic growth and environmental sustainability decisions. This study draws strength from the United Nations Sustainable Development Goals (UN-SDGs-7, 11, 12, and 13). Therefore, this study examines the environmental nexus between economic growth, globalization, renewable, and non-renewable energy, in South America from 1995 to 2020. We deployed the pooled mean group (PMG), mean group (MG), and dynamic fixed effects (DFE). Cross-sectional dependence, panel unit root, and cointegration tests were performed. Finally, we used the Dumitrescu and Hurlin test of causality to determine the long-run association between variables. The finding indicates that while environmental pollution increases with increasing economic growth, it decreases with increasing renewable energy both in the short and long term. Whereas economic globalization positively affects environmental pollution in the long term, social globalization and the moderation effect between political globalization and renewable energy improves environmental quality in the long run. Finally, a bidirectional causality was found between economic growth and environmental pollution, with a unidirectional causality running from economic, political, and social globalization, renewable, and non-renewable energy to environmental pollution. Given these findings, we discussed potential policy measures.

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.

Exploring the moderating effect of globalization, financial development and environmental degradation nexus: a roadmap to sustainable development

Financial development is a multidimensional process that contributes to economic growth but sometimes it has a devastating effect on climate change. No country can achieve sustainable development goals without caring the environmental quality. The present study investigates the moderating role of globalization (KOF) in determining the financial development (FD) on environmental degradation in the SAARC countries from 1990 to 2020. The long-run coefficients are estimated using the panel quantile regression (PQR) approach at lower, middle and upper quantile groups. The study shows the U-shaped relationship across three quantile groups based on financial development and carbon emissions. The moderator globalization (KOF) brings up the change in the turning point and flattens before the maturity of the U-shaped curve at the middle quantile while flattens after the maturity of the U-shaped curve at the upper quantile. The study recommends that by using energy-efficient technologies, better financial sector interaction with globalization enhances the environmental quality in SAARC countries.

Economic growth, technology, and CO2 emissions in BRICS: Investigating the non-linear impacts of economic complexity

Upgrading economic structures and producing less pollution-intensive goods are indispensable for achieving Sustainable Development Goals (SDGs) in BRICS (Brazil, Russia, India, China, and South Africa) that produce 41% of global CO₂ emissions. Economic complexity (ECC), which measures the sophistication of productivity and economic structure, has important environmental repercussions. Theoretically, the environmental impacts of economic complexity at higher levels and lower levels of complexity vary from each other. However, the majority of previous studies have overlooked these theoretical underpinnings while assessing the environmental repercussions of economic complexity. In addition, technological competencies are necessary to boost the economic complexity levels. Accordingly, this study uncovers the non-linear effects of economic complexity on CO₂ emissions including technology, population density, and economic growth in a STIRPAT model. To this end, the panel data from 1992 to 2018 is analyzed using the Continuously Updated Fully Modified method (CuP-FM) in the context of BRICS. The long-run results uncovered that CO₂ emissions intensify at a lower level of economic complexity. On the flip side, a higher level of economic complexity is beneficial in mitigating CO₂ in BRICS. Hence, the economic complexity and CO₂ connections follow an inverted U-shaped curve. The results also disclosed that expanding the level of technology lessens CO₂ and stimulates the quality of the environment. Further, population density and economic growth are evidenced to intensify CO₂. Moreover, economic complexity and technology Granger cause CO₂. Lastly, strategies are directed in the context of Sustainable Development Goals 9 and 13 to control CO₂ emissions by upgrading technology and products complexity.

Role of green financing and financial inclusion to develop the cleaner environment for macroeconomic stability: Inter-temporal analysis of ASEAN economies

The research objective is to assess the role of green financing and financial inclusion in developing a cleaner environment for macroeconomic stability in ASEAN economies. The study attempted to estimate the climate mitigation factor associated with a more sanitary environment between 2012 and 2019. Panel data analysis using the augmented Dicky–Fuller test, Phillip–Perron, and fully modified standard most minor square test provides long-term findings in panel data analysis. In addition, the vector error correction technique was also applied to infer study results. The findings indicate that climate change mitigation indicators have a significant impact on the gross domestic product of ASEAN economies. According to the data, a one percent rise in the green finance index results in a 0.321 percent increase in the amount of pollution removed from the environment. According to the research findings, environmental pollution must be decreased, and energy sources must be switched to more creative and ecologically friendly alternatives. Using study findings, several policy recommendations are offered and suggested for stakeholders for implementation. As per our best understanding, effective implementation of study findings and suggestions maximum chances are developing a cleaner environment and boosting macroeconomic stability in the ASEAN context.

The interrelationships among financial development, economic growth and environmental sustainability: evidence from Ghana

A well established and developed financial system encourages savings and investment which stimulates economic growth. However, the link between financial development and the environment is ambiguous. In general, the role that the environment plays in the finance-growth nexus has received less attention, to the best of our knowledge. Against this backdrop, this study aims to examine the interrelationships among economic growth, financial development and carbon dioxide emissions for Ghana over the period of 1971-2018. To correct for a possible endogeneity problem, the three-stage least-square (3SLS) technique was employed. The results revealed that there is a bidirectional relationship between financial development and economic growth; and a unidirectional relationship from financial development to carbon dioxide emission. However, carbon dioxide emission has a neutral effect on economic growth and financial development. Economic growth exhibits an inverted U-shaped relationship with carbon dioxide emission, confirming the existence of the environmental Kuznets curve hypothesis in Ghana. Policymakers should consider the critical roles of financial development in achieving environmentally friendly growth in Ghana.

Impact of human capital and financial globalization on environmental degradation in OBOR countries: Critical role of national cultural orientations

As regional economic integration and climate change are among the most important phenomena influencing economic and social sustainability in the modern world, a huge volume of research is directed towards these topics nowadays. The aim of this study is to explore the impact of financial globalization and human capital on environmental degradation in One Belt One Road (OBOR) countries in a cultural context that is largely under-explored in spite of being immensely crucial for fulfilling the United Nations' agenda on climate change mitigation. Owing to the presence of vast cultural differences, we check if the national scores on "Power Distance Index" and "Uncertainty Avoidance" in these countries matter for the environment. To this end, we use the latest and annual data set comprising 31 OBOR countries from 1996 to 2018, and employ panel econometric techniques that effectively deal with the threat of endogeneity. Results show that human capital improves environment while financial globalization deteriorates it. Interestingly, high power distance and uncertainty avoidance can reverse the positive impact of human capital. Similarly, financial globalization is favorable for environment in countries with low power distance and uncertainty avoidance. The findings are robust to the use of alternative specifications. Theoretical underpinnings and implications are discussed arising from the interesting reversal of traditional impacts in different cultural scenarios. Specifically, we recommend a culture of entrepreneurship, innovation, and inclusivity, promoted through increased tolerance towards risk-taking and participative decision-making to reap the benefits of human capital and globalization in improving the environment. Our results have important implications for climate change mitigation endeavors in OBOR countries and understanding the cultural context in this regard. Additionally, our study opens a vast avenue for the related research work in the future.

A Novel Investigation to Explore the Impact of Renewable Energy, Urbanization, and Trade on Carbon Emission in Bhutan

The present study explores the impact of renewable energy usage, economic progress, urbanization, and trade on carbon emissions in Bhutan. The stationarity among the variables was tested by employing the two unit root tests by taking the annual data series variables from 1982–2020. A symmetric (ARDL) technique was utilized to analyze the associations among variables with short- and long-run estimations. In addition, the cointegration regression method using FMOLS and DOLS was used in this investigation to discover the robustness of the study variables. Findings showed that via long-run assessment the variables renewable energy consumption, urbanization, and trade have adverse connections with CO2 emission, while the variable economic progress shows a constructive linkage with carbon emission. However, the short-run assessment showed that the variable economic growth has a positive impact on carbon emissions. Further, the variables renewable energy consumption, urbanization, and trade have an adverse relation to carbon emissions in Bhutan. The consequences of both FMOLS and DOLS also mean that the variable renewable energy usage, urbanization, and trade have an adverse influence on carbon emission, while economic growth has a constructive linkage with CO2 emission. Greenhouse gas emissions are undeniably an increasing global issue. This problem can only be handled by prudent legislation and funding. Despite having fewer greenhouse gas emissions than industrialized economies, Bhutan’s government needs to develop new rules to address this issue in order to ensure environmental sustainability and economic growth.

Asymmetric openness-environment nexus in most open OIC countries: new evidence from quantile-on-quantile (QQ) estimation

Trade openness continues to have the potential to influence many parts of today's society, including religion, transportation, lifestyle, language, and international relations; however, its ability to impact environmental quality is the primary issue for environmental policy guidelines. In response to an increasing interest in finding the dynamic association between trade openness and environmental quality, the current study explores the trade openness- environmental quality nexus in the ten most open Organization of Islamic Cooperation (OIC) countries for the years 1991 to 2018. By taking CO₂ emissions and ecological footprint as environmental indicators, a novel methodology "quantile-on-quantile (QQ)" is used to indicate how different quantiles of trade openness asymmetrically affect the quantiles of environmental indicators by providing an adequate pattern to comprehend the overall dependence structure. A negative openness-CO₂ emissions association is dominant in seven out of ten selected OIC countries (i.e., Suriname, Malaysia, Jordan, UAE, Libya, Brunei, and Qatar). On the other hand, a positive impact of trade openness on ecological footprint is dominant in eight out of ten selected OIC countries (i.e., Oman, Jordan, UAE, Libya, Bahrain, Brunei, Qatar, and Kuwait). The outcomes indicate that the asymmetric strength of openness-induced environmental quality differs with countries at both upper and bottom quantiles of data distribution that need specific attention in contending trade and environment policies in OIC countries.

Effects of economic complexity, economic growth, and renewable energy technology budgets on ecological footprint: the role of democratic accountability

The economic structure of countries can influence economic growth, energy demand, and environmental footprints. However, the literature on economic complexity and ecological footprint (EFP) nexus is scarce. Besides, democracy is an important factor that may affect environmental policies and environmental sustainability. Hence, this paper investigates the effect of democracy, economic complexity, and renewable energy technology budgets on the EFP in G7 countries controlling income and financial development from 1985 to 2017. The findings from Westerlund (J Appl Econ 23:193-233, 2008) and other cointegration methods depict cointegration among variables. The long-run estimates from the continuously updated fully modified method unfold that economic complexity contributes to reducing the EFP. However, greater democratic accountability boosts the EFP figures rather than reducing them. On the flipside, renewable energy technology budgets and financial development are evidenced to mitigate EFP. Moreover, the study unveils a U-shaped linkage between economic growth and EFP, which indicates that an increase in income level will boost EFP. Further, the study found causality from economic complexity, democracy, and renewable energy budgets to EFP. Based on these findings, it is pertinent for the G7 countries to increase the manufacturing of sophisticated and complex products. In addition, enhancing renewable energy technology budgets is essential to ensure environmental well-being.

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.

A new perspective into the impact of renewable and nonrenewable energy consumption on environmental degradation in Argentina: a time-frequency analysis

In most nations across the world, the fundamental goal of economic policy is to achieve sustainable economic growth. Economic development, on the other hand, may have an influence on climate change and global warming, which are major worldwide concerns and problems. Thus, this research offers a new perceptive on the influence of renewable and nonrenewable energy consumption on CO₂ emissions in Argentina utilizing data from the period between 1965 and 2019. The current research applied the wavelet tools to assess these interconnections. The outcomes of these analyses reveal that the association between the series evolves over both frequency and time. The current analysis uncovers notable wavelet coherence and significant lead and lag connections in the frequency domain, while in the time domain, contradictory correlations are indicated among the variables of interest. From an economic perspective, the outcomes of the wavelet analysis affirm that in the medium and long term, renewable energy consumption contributes to environmental sustainability. Furthermore, in the medium term, trade openness mitigates CO₂, although in the long term, no significant connection was found. Moreover, both nonrenewable energy and economic growth contribute to environmental degradation in the short and long term. Finally, the frequency domain causality outcomes reveal that in the long term, economic growth, trade openness, and nonrenewable energy can predict CO₂ emissions. The present analysis offers an innovative insight into the interconnection and comovement between CO₂ and trade openness, renewable energy utilization, and GDP in the Argentinean economy. The findings from this research should be of interest to economists, researchers, and policymakers.

Mitigating energy production-based carbon dioxide emissions in Argentina: the roles of renewable energy and economic globalization

The energy sector of Argentina is predominantly reliant on fossil fuels. Consequently, such fossil fuel dependency within the nation's power sector, in particular, has aggravated the environmental quality in Argentina by amplifying the nation's energy production-based carbon emission levels. However, keeping into consideration the international commitments pledged by Argentina under the Paris Accord and the Sustainable Development Goals agenda, it is pertinent for this South American country to curb its energy production-based emission of greenhouse gases, especially carbon dioxide. Against this milieu, this study examines the impacts of renewable electricity generation, economic globalization, economic growth, and urbanization on carbon dioxide emissions generated from the production of electricity and heat in the context of Argentina. Using annual frequency data from 1971 to 2016, recent econometric methods are applied to control for multiple structural breaks in the data. The major findings from the ecnometric analyses affirmed long-run associations between renewable electricity generation, economic globalization, economic growth, urbanization, and energy production-based carbon dioxide emissions in Argentina. Besides, enhancing renewable electricity output shares is found to curb these emissions while economic globalization and urbanization are witnessed to boost them. Moreover, renewable electricity generation and economic globalization are found to jointly reduce the energy production-related carbon dioxide emissions in Argentina. The results also validate the authenticity of the Environmental Kuznets Curve (EKC) hypothesis. Finally, the causality analysis reveals evidence of unidirectional causalities running from renewable electricity generation, economic globalization, economic growth, and urbanization to energy production-related carbon dioxide emissions in Argentina. In line with these findings, this study recommends several viable policies which can be implemented to help Argentina control the growth of its energy production-based carbon dioxide emissions.

FDI, Green Innovation and Environmental Quality Nexus: New Insights from BRICS Economies

One major concern about foreign direct investment (FDI) is the potential negative environmental impact due to increased CO2 emissions. However, there is a possibility that FDI mitigates CO2 emissions through green innovation and creates a cleaner environment. In the existing literature, there is no significant empirical evidence on the linkage among FDI, green innovation and CO2 emissions in the context of BRICS countries. Hence, this study aims to analyze the impact of FDI and green innovation on the environmental quality of BRICS economies for 1990–2014. The study employed Augmented Mean Group (AMG) estimators for empirical data analysis. The study’s findings depict that foreign direct investment, energy use, and economic growth have a significant and positive impact on the CO2 emissions of BRICS economies. Moreover, green innovation has a significant inverse impact on CO2 emissions. The results show bidirectional causalities between CO2 emissions and green innovation, trade openness and CO2 emissions, energy use and CO2 emissions, and urbanization and CO2 emissions. Additionally, the findings reveal a one-way causality from CO2 emissions to GDP and CO2 emissions to urbanization. This study offers essential policy recommendations for the environmental sustainability of BRICS countries through green innovation.

Linking Green Human Resource Practices and Environmental Economics Performance: The Role of Green Economic Organizational Culture and Green Psychological Climate

An eco-friendly environment with green strategies can help to achieve better environmental performance. However, literature on the relationship between green human resource management practices (GHRMP) and sustainable environmental efficiency (SEF) is limited. Moreover, there is limited knowledge about the factors that could mediate the relationship between GHRMP and SEF. Therefore, the present study examines the impact of green human resource management practices mediating through green psychological climate (GPC) and green organizational culture (GOC) for better environmental efficacy. For this purpose, the primary data on variables are collected by using structured assessment tools and analyzed through regression models. Unlike previous studies, this study adopts a mediation model and unfolds not only the role of green human resource practices in psychological climate and green organizational culture but also clarifies the mediating role of GPC and GOC in sustainable environmental efficiency. The findings unfolded that ecological factors such as green psychological climate, green organizational culture, and sustainable environmental efficiency are positively affected by green human resources management. In addition, green organizational culture and green psychological climate positively mediate the relationship between GHRMP and SEF. This study recommends adopting green human resource management strategies and increasing technical innovations to improve sustainability and economic performance.

Asymmetric Impact of International Trade on Consumption-Based Carbon Emissions in MINT Nations

The association between carbon emissions and international trade has been examined thoroughly; however, consumption-based carbon emissions, which is adjusted for international trade, have not been studied extensively. Therefore, the present study assesses the asymmetric impact of trade (import and export) and economic growth in consumption-based carbon emissions (CCO2) using the MINT nations (Mexico, Indonesia, Nigeria and Turkey) as a case study. We applied the Nonlinear ARDL to assess this connection using dataset between 1990 and 2018. The outcomes from the BDS test affirmed the use of nonlinear techniques. Furthermore, the NARDL bounds test confirmed long-run association between CCO2 and exports, imports and economic growth. The outcomes from the NARDL long and short-run estimates disclosed that positive (negative) shocks in imports increase (decrease) CCO2 emissions in all the MINT nations. Moreover, positive (negative) shocks in exports decrease (increase) CCO2 emissions in all the MINT nations. As expected, a positive shock in economic growth triggers CCO2 emissions while a negative shift does not have significant impact on CCO2 emissions in the MINT nations. Furthermore, we applied the Gradual shift causality test and the outcomes disclose that imports and economic growth can predict CCO2 emissions in the MINT nations. The study outcomes have significant policy recommendations for policymakers in the MINT nations.

The Effect of Energy Consumption and Economic Growth on Environmental Sustainability in the GCC Countries: Does Financial Development Matter?

Achieving environmental sustainability whilst minimizing the climate change effect has become a global endeavor. Hence, this study examined the effect of energy consumption, economic growth, financial development, and globalization on CO2 emissions in the Gulf Cooperation Council (GCC) countries. The research utilized a dataset stretching from 1995 to 2018. In a bid to investigate these associations, the study applied cross-sectional dependence (CSD), slope heterogeneity (SH), Pesaran unit root, Westerlund cointegration, cross-sectionally augmented autoregressive distributed lag (CS-ARDL), and Dumitrescu and Hurlin (DH) causality approaches. The outcomes of the CSD and SH tests indicated that using the first-generation techniques produces misleading results. The panel unit root analysis unveiled that the series are I (1). Furthermore, the outcomes of the cointegration test revealed a long-run association between CO2 emissions and the regressors, suggesting evidence of cointegration. The findings of the CS-ARDL showed that economic growth and energy consumption decrease environmental sustainability, while globalization improves it. The study also validated the environmental Kuznets curve (EKC) hypothesis for GCC economies. In addition, the results of the DH causality test demonstrated a feedback causality association between economic growth and CO2 emissions and between financial development and CO2 emissions. Moreover, there is a one-way causality from energy consumption and globalization to CO2 emissions in GCC economies. According to the findings, environmental pollution in GCC countries is output-driven, which means that it is determined by the amount of energy generated and consumed.