Search

The main objective of this study is to examine the impacts of green energy and public investment on the CO2 emissions in North Africa. Moreover, the study also tests the existence of the N-shaped Environmental Kuznets Curve (EKC) hypothesis for North African countries between 1995 and 2018. These factors were analyzed using the Dynamic Ordinary Least Squares (DOLS), Fully Modified Ordinary Least Squares (FMOLS), and Pooled Mean Group (PMG) estimators to obtain estimations of heterogeneous parameters. The outcome of these tests and examinations showed that the N-shaped curve was confirmed. Secondly, The results of the study also demonstrate the effectiveness of renewable energy as an eco-friendly innovation in reducing carbon emissions. This finding highlights the positive impact that renewable energy sources can have in terms of emitting fewer carbon emissions compared to traditional energy sources. Moreover, public investment, which interprets government expenditure, and urbanization contribute to environmental degradation by increasing CO2 emissions in the case of North African countries. Furthermore, the findings also indicated a trade-off effect resulting from the correlation between CO2 emissions and economic development. Based on these findings, the study recommends that economic policymakers in North African countries prioritize transforming the structure of government expenditures to improve environmental quality, optimize the utilization of revenues from non-environmentally friendly energy resources to accelerate the energy transition, increase the exploitation of renewable energy, and promote environmental awareness in society. By implementing these recommendations, North African countries can balance economic growth and environmental quality while reducing their carbon footprint. [ABSTRACT FROM AUTHOR]

This study aims to examine the linkages between renewable energy consumption (REC), nonrenewable energy consumption (NREC), carbon dioxide (CO2) emissions, and economic growth in emerging Asian countries during the period 1975–2020 using a panel augmented mean group (AMG) estimation technique. The results of the long-run coefficient elasticity show that REC, NREC, employed labor force, and capital formation contribute significantly to long-run economic growth. The research analysis also found that NREC significantly increases long-term carbon emissions while REC significantly reduces long-term carbon emissions. Moreover, gross domestic product (GDP) and GDP3 have a significant positive impact on environmental degradation while GDP2 has a significant adverse impact on environmental pollution, thus validating the N-shaped Environmental Kuznets Curve (EKC) hypothesis in selected emerging Asian economies. The country-wise AMG strategy points out that India and Bangladesh have no EKC hypothesis, China and Singapore have an inverted U-shaped EKC hypothesis and Japan and South Korea have an N-shaped EKC hypothesis. Empirical evidence from Dumitrescu and Hurlin's causality test shows a two-way causality between REC and economic growth, supporting the feedback hypothesis. Strategically, this study suggests that more renewable energy is a viable strategy to address energy security and reduce carbon emissions to protect the environment and boost future economic growth in selected emerging Asian countries. [ABSTRACT FROM AUTHOR]

Environmental innovations, investments, and expenses have been identified as an efficient and reliable way of addressing ecological issues. Nevertheless, how environmental innovations, investments, and expenses may influence the level of environmental pollution in European nations and whether the outcome may fluctuate among various environmental innovation indicators remain to be inspected. Therefore, this research is designed to empirically scrutinize the influence of environmental innovations, environmental investment, environmental expenditure, research and development (R&D) expenses, and foreign direct investment (FDI) on renewable and non-renewable energy in a sample of 15 European countries during the period from 2005 to 2018. To achieve this, we apply robust panel econometric estimation techniques. After testing the stationary property of the series, the findings of the Pedroni cointegration test disclose the presence of a long-run stable connection among the series. The empirical results from the ARDL, FMOLS and DOLS regression show that the impact of environmental innovations, environmental expenditure, R&D expenses, and FDI help to reduce overall non-renewable energy and promote renewable energy. In contrast, environmental investment significantly increases non-renewable energy and diminishes renewable energy usage. Moreover, the findings of Dumitrescu and Hurlin's tests discover a unidirectional causality running from non-renewables and renewables towards environmental investment, environmental expenditure, and FDI. Additionally, bi-directional causality is found between environmental innovations R&D, with both non-renewable and renewable energy utilization. Furthermore, we summarize by arguing that the efforts toward efficient and sustainable use of energy by reducing the combustion of non-renewable energy sources should support modern and innovative strategies by ensuring the transformation of non-renewables with renewable energy sources. [ABSTRACT FROM AUTHOR]

The current study aims to explore the role of environmental taxes and regulations for the renewable energy consumption, focusing on reporting policy suggestions to overcome climate change issues and achieve environmental sustainability. The main objective of this paper is to examine the relation between renewable energy, environmental taxes, environmental technologies, and environmental regulations in 29 OECD countries during 1996–2018. More precisely, we inspect the impact of the environmental regulations and environmental technologies on the renewable energy consumption. The authors employ CIPS and CADF unit root tests, panel Westerlund co-integration test, FMOLS, and Quantile regression methods for the econometric analysis. The econometric analysis suggests that the environmental regulations impede the renewable energy consumption in OECD economies. The study suggests that environmental policy initiatives should focus on implementing environmental strategies to inspire cohesiveness between environmental regulations and the development of environmental technologies in order to promote the renewables industry in the developed countries. [ABSTRACT FROM AUTHOR]

The primary objective of this research was to determine the impact of renewable energy, alternative and nuclear energy, urbanization, energy use, and fossil fuel energy consumption on Romanian economic development. To investigate the relation between variables, we employed the Autoregressive Distributed Lag (ARDL) technique in conjunction with FMOLS (Fully Modified Least Squares) and CCR (Canonical Cointegrating Regression). Long-run and short-run findings suggest that alternative and nuclear energy, as well as fossil fuel consumption, has a positive association with economic growth, but renewable energy, urbanization, and energy usage have an adversative relationship with economic growth. Similarly, FMOLS and CCR statistics indicate that alternative and nuclear energy and fossil fuel consumption have a favorable impact on economic development. Renewable energy consumption, urbanization, and energy use, on the other hand, revealed a negative connection with economic progress. Conservative solutions are necessary to implement appropriate policies to address energy consumption concerns in Romania in order to improve economic development. [ABSTRACT FROM AUTHOR]

The primary goal of this study was to examine the relationship between fossil fuel energy, electricity production from nuclear sources, renewable energy, CO2 emissions, and economic growth in Pakistan. Data ranging from 1975 to 2019 were utilized, and the stationarity of this data was verified through the unit root testing. The dynamic connections between variables were investigated by utilizing the linear autoregressive distributed lag technique. Long-run analysis results uncover that fossil fuel energy, renewable energy use, CO2 emissions, and GDP per capita have a productive relationship with economic progress in Pakistan, whereas electric power consumption, electricity produced from nuclear sources, and energy utilization have an adverse effect on economic growth. Furthermore, the consequences revealed that fossil fuel energy, renewable energy consumption, carbon dioxide emissions, and GDP per capita have a significant linkage to Pakistan's economic growth via short run, whereas we revealed that the variables electric power consumption, electricity produced from nuclear sources, and energy usage have an adversative linkage to Pakistan's economic growth. Feasible progressive policies are required from the Pakistani government to pay more attention for tackling the energy and power sectors' issues in terms of fulfilling the country's energy requirements. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This study aims to examine the impact of coal energy consumption on the economic progress in Pakistan by using annual time series data during 1972–2019. Three-unit root tests were employed to rectify the variables' stationarity. The quantile regression approach with the extension of cointegration regression test was utilized to check the variables interaction with the economic progress. The outcomes of the quantile regression uncover that coal energy consumption in power sector and coal energy consumption in brick kilns have adverse influence to the economic progress, while total coal energy consumption has a productive association with the economic progress. Similarly, the findings of cointegration regression analysis uncover that via FMOLS (Fully Modified Least Squares) and DOLS (Dynamic Least Squares) that variables coal energy consumption in power sector and brick kilns have an adverse connection with the economic progress, while total coal energy consumption uncover a productive linkage to the economic progress in Pakistan. Pakistan is still facing a deep energy crisis because of the lack of energy production from cheap sources. New possible policies are required in this direction to improve the energy sector by paying more attention to the alternative energy sources to foster the economic progress. [ABSTRACT FROM AUTHOR]

This research investigates the impact of oil price, income and carbon dioxide emissions on renewable energy consumption in Russia for the data period from 1990 to 2015, using the Vector Error Correction Models and the Canonical Cointegrating Regression method. This article is the only study conducting individual time-series analysis that emphasizes the effect of oil price on renewable energy consumption in the case of Russia. The results of empirical analysis conclude that oil price affects renewable energy consumption negatively. The negative oil price effects on renewable energy use can be interpreted as a sign of issue that stems from higher oil prices and slows the transition from conventional to renewable energy sources. Additionally, we found that there is a positive and statistically significant influence of real GDP per capita as a proxy of income on renewable energy consumption, whereas the carbon dioxide emissions have a negative and statistically insignificant influence on renewable energy consumption. Considering these empirical results, Russia, which has a significant share in energy production in the world, should focus on the use of renewable energy in order to maintain this superiority and its sustainability. The findings of this paper may be useful to policymakers and may help to contribute to existing literature for future research in the case of oil-exporting countries. [ABSTRACT FROM AUTHOR]

For the last two decades, Pakistan has faced various economic obstacles, the most significant of which is the sluggish pace of industrial expansion caused by the energy crisis. To close this gap, Pakistan's government has made several efforts to save energy and lower the country's power shortage in recent years. To bridge this gap, we concentrate on a few key drivers to demonstrate vibrant recommendations and evidence to policymakers. In this context, the study investigates the asymmetric relationship between renewable energy consumption (REC), non-renewable energy (NRE), terrorism, inflation, and international trade in the industrial sector from 1970 to 2018 in Pakistan. We employed a novel co-integration approach known as a Nonlinear Autoregressive Distributed Lag (NARDL) model with the Bayesian approach. The results show that the industrial sector is increasing due to positive shocks in REC, whereas negative shock in REC decreases significantly at a 5% level. Additionally, NRE, terrorism, and inflation are positive and have a long-term substantial effect on the industrial sector. The results suggest that the most effective strategy for Pakistan is to combat terrorism and vigorously promote renewable energy, highlighting its advantages to the environment and industrial development while avoiding non-renewable resources. [ABSTRACT FROM AUTHOR]