Ecological footprint in the OECD countries: do energy efficiency and renewable energy matter?

Ecological footprint (EFP) measures the amount of area, that is land or sea, which is required to absorb the waste generated through human activities or to support the production of resources consumed by populations. EFP index therefore includes six dimensions that are cropland, forestland, carbon, fishing grounds, grazing land, and built-up area. Human activities have impacted the environment, leading to global warming, widespread droughts, and diseases. The present study aims to investigate the role of renewable energy (RE) and energy efficiency on the EFP index. Past researchers have widely used carbon emission (CE) to represent environmental impact, and recent studies have shown that EFP index is a better proxy of environmental degradation. Therefore, the present research differs from past studies in that it compares on how the determinants of environmental degradation affects EFP index and CE. Panel dataset of the OECD countries from 1990 to 2020 is employed. The CS-ARDL, DCCEMG, and AMG techniques, which overcome dynamics, heterogeneity, and cross-sectional dependence, are employed. The main findings depict that RE significantly reduces EFP and CE, while economic growth significantly exacerbates them. Energy efficiency reduces CE, but does not significantly affect EFP. Non-renewable energy and research & development significantly increase CE, while an insignificant positive effect is observed with EFP. This paper shows that factors that significantly influence CE may not always significantly affect the EFP index. Thus, to reduce environmental degradation it is fundamental to understand on how each dimension of EFP is influenced.

The role forest resources, energy efficiency, and renewable energy in promoting environmental quality.

At a time when environmental concerns are rising in the world, natural resources, such as trees and other green plants, remain the most crucial factors responsible for reducing environmental degradation. Green plants inhale carbon dioxide and prevent the soil from wash and wear, hence their significant role in enhancing environmental quality. Therefore, it is essential to come up with state-of-the-art researches on the role of green plants to the environment. The present research is aimed at adding to the growing body of literature by investigating the effect of forest resources, together with renewable energy and energy efficiency in enhancing environmental quality. In this research, we use the data of the seven emerging countries, seven developed nations and 15 developing west African nations, from 1990 to 2019. The current research adds to the growing body of literature in that it presents a comparative analysis of the three important economic blocks, as well as employing three major methodologies of data analysis, the CS-ARDL, AMG, and CCEMG techniques, which are strong over cross-sectional dependence, heterogeneity, and dynamics. Major research outcomes show that renewable energy and energy efficiency negatively affects carbon emissions, while gross domestic product positively affects carbon emissions in all three regions. Population size and forest resources reduces carbon emissions in the emerging countries and seven developed countries, respectively. Non-renewable energy promotes carbon emissions in the seven developed countries, while in the emerging countries it reduces emissions. This research recommends the efficient utilization of energy, use of renewable energy, and forest preservation to promote carbon neutrality goal.

The impact of energy efficiency in reducing environmental degradation: does renewable energy and forest resources matter?

The vast utilisation of energy sources in promoting economic growth has been identified as the major cause of environmental degradation (through carbon emission). Therefore, the efficient utilisation of energy ensuring the minimisation of any wastages is vital in reducing environmental degradation. The current research aims to investigate the importance of energy efficiency, forest resources, and renewable energy in reducing environmental degradation. The major novelty of the research is that it seeks to investigate the impact of forest resources and energy efficiency on carbon emissions. Literature shows that there is still a dearth on the association of forest resources and energy efficiency, with carbon emissions. We employ data of the European Union countries for the time frame ranging from 1990 to 2020. The CS-ARDL technique depicts that raising GDP by 1% raises carbon emissions by 5.62% in the short run and 2.93% in the long run, raising renewable energy by 1 unit reduces carbon emissions by 0.098 and 0.03 units in the short and long run, respectively, whilst raising energy efficiency by 1% reduces carbon emissions by 6.29% and 3.29% in the short and long run, respectively. The Fixed Effect and Random Effect tools support the outcomes of the CS-ARDL tool on the negative effect of renewable energy and energy efficiency, and the positive effect of GDP on carbon emissions, and also depict that raising non-renewable energy by a single unit raises carbon emissions by 0.07 and 0.08 units, respectively. Forest resources, in this present research, do not significantly impact the emissions of carbon amongst the European nations.

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.

The effect of GDP, renewable energy and total energy supply on carbon emissions in the EU-27: new evidence from panel GMM.

The vast usages of sources of energy that pollute the environment have resulted in major problems of global warming in the world. Global warming and greenhouse effect causes droughts, hunger, and starvation among many other health problems. In this research, the effect of energy use, economic, growth, and renewable energy on carbon emissions, in the European Union region from 1990 to 2019, is examined. The current study differs from previous researches, in that it specifies "effective capital" which is the interaction between energy and capital (a product of energy and capital) in the model. Effective capital is inevitable in the production process because physical capital such as machinery, without power or energy to fuel it, is dysfunctional. The current research employs the Generalized Method of Moments which is strong over endogeneity and overcomes heteroskedasticity, serial, and autocorrelation problems. The findings of this research support past studies that renewable energy reduces carbon emissions and gross domestic product exacerbates carbon emissions. Effective capital and energy use are observed to promote carbon emissions, whereas capital and population size reduces carbon emissions in the European Union.

Exchange rate stability in the emerging economies: does renewable energy play a role-a panel data analysis.

Due to the high and rising rates of carbon emissions, the use of renewable energy sources has been encouraged to help achieve carbon neutrality goal. However, renewable energy sources are said to be expensive than fossil fuels. Major studies have been undertaken to ascertain the association between renewable energy and many economic indicators, such as gross domestic product, employment rate, and inflation rate. The current study is aimed at investigating whether renewable energy use helps stabilize the foreign exchange rate of emerging economies, which has not been widely examined in the past, hence the study originality. Stability in the foreign exchange rate of a nation is very crucial as this helps to stabilize the inflation rate. This study employs the fully modified ordinary least and dynamic ordinary least square methods to analyze panel data of emerging economies. The findings indicate that high real interest rate and gross domestic product causes appreciation in the currency exchange of a country, while high balance of payment, inflation rate and renewable energy consumption are found to cause currency depreciation. The Pedroni and Kao cointegration tests are employed and the results show that a long-run relationship exists among the variables examined. This research recommends balance of payments and inflation rate to be minimized if exchange rate stability is to be achieved, while gross domestic product and real interest rate should be increased.

The role of clean energy in the development of sustainable tourism: does renewable energy use help mitigate environmental pollution? A panel data analysis.

The tourism industry has long been accused of being the major driver of global warming as a result of the size of the industry and its subsequent high energy consumption, most of which comes from sources that emit carbon dioxide. However, in spite of the criticism directed towards tourism due to its negative effects on the environment, there is a scarcity of research that has aimed to ascertain its impact on the environment, thus revealing the existence of a gap in the literature. The current study uses a dynamic GMM model for 38 OECD countries from 2008 to 2019 for the purpose of filling the gap in the literature by investigating the effects of tourism development on the environment, as well as ascertaining the role of renewable energy in mitigating environmental impact. Unlike past studies that have alluded to the fact that tourism development exacerbates the emissions of carbon dioxide and hence global warming, the current research shows that in the OECD countries, tourism does not have any significant link with greenhouse gas emissions. This is because OECD nations have long started to shift from the use of fossil fuels to renewable sources of energy that do not exacerbate greenhouse gas emissions. However, the current research concurs with the findings of past studies that renewable energy consumption significantly decreases greenhouse gas emissions. The use of renewable energy sources instead of fossil fuels should continue to be encouraged in all nations for the purpose of achieving the carbon neutrality goal of the United Nations.

The impact of renewable energy consumption on economic growth in Nigeria: fresh evidence from a non-linear ARDL approach.

The topic of climate change is so crucial that experts, world leaders, and international organizations are constantly working on how to solve this problem. One of the recommendations lies in using renewable energy to protect the global ecosystem and promote environmental sustainability. This study, therefore, examines the impact of renewable energy consumption (RNEW) on economic growth (RGDP) in Nigeria within the period of 1990Q1-2019Q4 using a non-linear autoregressive distributed lag (NARDL) model. This research contributes to existing literature by focusing on a single-country analysis using the NARDL methodology. Nigeria has the highest GDP in Africa and can drive continental growth. In addition, the NARDL approach examines the positive and negative shocks of the independent variables on the dependent variable. The bound test result confirms cointegration among the variables. Further results show that a positive shock of RNEW decreases RGDP, while a negative shock increases RGDP in the long run. This result differs from existing literature in which a majority of the studies found a positive relationship between RNEW and RGDP. In the short run, a positive shock of RNEW increases RGDP, while a negative shock decreases RGDP, although not significant. A positive shock in RNEW hurts RGDP because of the nature and source of renewable energy used in Nigeria, majorly wood biomass. Therefore, this study recommends that cleaner technologies be utilized to maximize the advantages of renewable energy sources, especially wood biomass, while minimizing their adverse effects.

Vulnerability to recurrent shocks and disparities in gendered livelihood diversification in remote areas of Nigeria.

New multidimensional indicators of vulnerability to disaster from external shocks were constructed using survey data covering 1750 respondents from rural Nigeria. Simple ordinary least squares and decomposition analysis were then used to examine the effect of recurrent shocks on livelihood diversification. The results elicited several findings. Although findings from the constructed vulnerability indices revealed overall high risks of disasters, females were disproportionally more vulnerable to cattle rustling. Conversely, both natural hazard-induced and cattle rustling-driven shocks have a strong negative impact on livelihood diversification. This effect is invariant regardless of the perceived gender of the respondents. Decomposition results show that recurrent shocks have moderate influences on inter-gender income disparities, as a larger proportion of the inequalities are explained by demographic characteristics. The findings point to a number of policy recommendations, most notably that the disaster prevention and management strategies should prioritise interventions that have a direct bearing on an individual's economic, human, and social capitals.