Do renewable and nuclear energy enhance environmental quality in France? A new EKC approach with the load capacity factor

Assessing the environmental sustainability corridor: linking oil consumption, hydro energy consumption, and ecological footprint in Turkey

Climate change has been a topic of significant discourse and debate among scholars and policy makers for several decades. In recent decades, it has become a major problem for the entire human race. Therefore, the present research evaluates the impact of oil consumption, hydro energy use, population density, and economic growth on ecological footprint in Turkey for the period from 1965QI to 2018Q4. This paper uses the BDS test to assess the nonlinearity of the variables in the pre-estimation analysis. The results of the test reveal that non-linearity occurs in all of the variables used in this study. As a consequence, using traditional linear methodologies would produce erroneous results. Our research uses the quantile techniques (quantile cointegration, quantile causality, quantile-on-quantile regression), which are recently developed nonlinear estimate methodologies to assess these associations. The results from the study reveal that oil consumption, hydro energy use, population density, and economic growth contribute to environmental degradation in Turkey in majority of the quantiles. The Granger Causality in Quantiles result also gives credence to the results. The study proposes policy recommendation based on these results.

The roles of energy, natural resources, agriculture and regional integration on CO2 emissions in selected countries of ASEAN: does political constraint matter?

This paper empirically examines the effects of energy, natural resources, agriculture, political constraint and regional integration on CO₂ emissions in four ASEAN (Association of Southeast Asian Nations) countries of Cambodia, Malaysia, Indonesia and Thailand. We distinguish between renewable and fossil fuel energy consumption to see their individual impacts on CO₂ emissions. The study employed a panel data from 1990 to 2019 derived from sources such as World Development Indicators, which were then analysed using Common-Correlated Effect Mean Group (CCEMG) and Augmented Mean Group (AMG) estimates. The findings show that renewable energy consumption has a negative impact on CO₂ emissions while fossil fuel energy degrades the environment. The role of natural resources was found to be favourable for environmental quality with the impact of agriculture being found to be detrimental. For regional trade integration, its influence was not significant enough to offset CO₂ emission. Furthermore, we discovered that political constraint induces CO₂ emission. Based on the result, it is recommended that the selected ASEAN countries promote the use of renewable energy and clean technologies in their manufacturing processes, conserve natural resources, adopt eco-friendly political policies and intensify regional integration to accelerate the achievement of the SDGs.

An empirical investigation of the relationships between nuclear energy, economic growth, trade openness, fossil fuels, and carbon emissions in France: fresh evidence using asymmetric cointegration

The intention behind the current analysis is to join the debate over the main factors to consider in the global fight against climate change. Thereby, the Non-linear Autoregressive Distributed Lag (NARDL) approach is applied to assess the impacts of nuclear energy, fossil fuels, income, and trade on carbon emissions in France from 1980 to 2020. In addition, the relevance of the Environmental Kuznets Curve (EKC) presumption is tested. The main results stipulate that nuclear energy lessens CO₂ emissions in France. However, fossil fuels and trade openness enhance these emissions. On the other hand, the current analysis confirms the presence of an inverted U-shaped curve relating economic growth to carbon emissions. Therefore, the EKC hypothesis is supported in our case. Indeed, by calculating the turning point, it is possible to extract the turning year corresponding to 2008. Furthermore, an asymmetric causality test is performed in order to identify the possible non-linear causal links between the potential drivers of carbon emissions. First, the causal linkage between CO₂ emissions and GDP is bidirectional. Furthermore, a unidirectional causal link between CO₂ emissions and non-renewable energies and a dual directional causal link between pollutant emissions and trade are identified. These empirical results are intended to guide the French government in the implementation of relevant energy and trade-related strategies in order to attain the ambitious targets of carbon emissions reduction. In fact, France should reduce imports of fossil fuels to curtail the positive effect of trade on carbon emissions. In addition, it is recommended to substitute fossil energies with renewable energies gradually by using adequate instruments and boosting research and innovation to mitigate the adverse influences of non-renewable energies on environmental quality. Finally, our findings confirm the positive role played by nuclear energy in the fight against climate change.

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.

An analysis of the environmental impacts of ethnic diversity, financial development, economic growth, urbanization, and energy consumption: fresh evidence from less-developed countries

Improving the quality of environmental indicators has become a global concern that necessitates the identification of possible channels through which environmental welfare can be enhanced worldwide. Against this backdrop, this current study aims to elucidate the environmental effects of ethnic diversity, controlling for financial development, urbanization, economic growth, and energy consumption in the context of 51 less-developed countries during the period from 1996 to 2016. For measuring the environmental impacts, we use both the ecological footprint and carbon dioxide emission figures of these countries. Overall, the cointegration analysis confirms the existence of long-run relationships among the study variables. Besides, the regression analysis reveals that ethnic diversity deteriorates environmental quality by surging the ecological footprint and carbon dioxide emission levels of the selected nations. Similarly, financial development and energy consumption are found to impose identical adversities on the environment while urbanization is evidenced to ensure environmental welfare. Lastly, for both the environmental indicators considered in this study, the environmental Kuznets curve hypothesis is verified from the findings. Hence, considering these key outcomes, a set of relevant environmental welfare-related policy interventions are recommended in the context of less-developed countries.

Is the EKC hypothesis valid in the five highly globalized countries of the European Union? An empirical investigation with smooth structural shifts

This study analyzes the impact of globalization and income on ecological footprint over the period of 1970 to 2018 in the five highly globalized countries of the European Union ranked by the KOF index. To this end, the study uses a Fourier autoregressive distributed lag cointegration and Fourier Toda-Yamamoto causality methods. Studies that examine the effects of globalization on environmental degradation often neglect structural changes, which can lead to biased results. Using Fourier approximations, this study is the first to conduct an environmental assessment incorporating smooth structural changes for the five highly globalized countries of the European Union. The results show that (i) cointegration exists in Switzerland, Sweden, the Netherlands, Austria, and Denmark. (ii) The EKC hypothesis is valid for Switzerland and Denmark, while in Sweden and Austria, there is a U-shaped relationship between income and ecological footprint. (iii) The turning point at which income improves environmental quality is $68,191 for Switzerland and $46,600 for Denmark, and both countries have exceeded this per capita income level. (iv) Globalization is a factor that promotes environmental sustainability in Switzerland and the Netherlands. In order to regulate and manage environmental issues effectively, policy-makers should take advantage of economic development in Switzerland and Denmark as well as globalization in the Netherlands and Switzerland.

Determinants of load capacity factor in South Korea: does structural change matter?

By likening biocapacity and ecological footprint, the load capacity factor follows a specified ecological threshold, permitting for an in-depth analysis of ecological damage. It can be seen that as the load capacity factor is reduced, the ecological damage intensifies. Until now, scholars have used carbon dioxide, ecological footprint, nitrogen oxide, sulfur dioxide, and other indices to objectively examine ecological problems. The utilization of these metrics can cause the supply side of ecological concerns to be overlooked. To make up for this weakness, this paper evaluates the impact of structural change and trade globalization on the load capacity factor. The research also considers other drivers of load capacity factors such as economic growth and energy. We utilized the nonparametric such as nonparametric causality and quantile-on-quantile (QQ) regression approaches to scrutinize these interconnections for South Korea between 1970 and 2018. The findings from the QQ approach disclosed that in the majority of the quantiles, the influence of economic growth, structural change, energies (renewable and nonrenewable), and trade globalization mitigate the load capacity factor. Moreover, the nonparametric causality test divulged that in variance and mean, all the independent variables can predict the load capacity factor. Policy proposals for South Korea's sustainable development are offered based on the findings.

Investigating the subsistence of Environmental Kuznets Curve in the midst of economic development, population, and energy consumption in Bangladesh: imminent of ARDL model

The main purpose of this study is to analyze the existence of an environmental Kuznets curve (EKC) considering the midst of energy consumption, population and economic development. The main objective is to investigate the impact of energy consumption, population and economic development on CO2 emissions. This study has taken data from 1971 to 2020 to see the existence of an EKC in the country of Bangladesh. Besides population growth, energy consumption and economic development are also taken into consideration. An autoregressive distributed lag (ARDL) model was used to scrutinize cointegration based on selected variables and their respective I (0) and I (1) values. This study has confirmed the long-term existence of the EKC in the environment. The environmental Kuznets curve was also tested using economic performance coefficients on emissions. In the long run, EKC explains why per capita carbon output decreases with population expansion but turns down after a certain threshold level is achieved because of this inverted U-shaped pattern. For decades, increased energy consumption has been linked to worsening environmental conditions, according to this study. According to the findings, there are a wide variety of approaches to advancing Bangladesh's economy and improving its environmental quality. In the long run, the population has no positive impact on CO2 secretion. The use of fossil fuels such as gas and oil can have a detrimental environmental impact. As a result, if we want to conserve the environment, we need to use renewable energy sources like solar and biodiesel instead of traditional, nonrenewable fuels.