Energy poverty, government expenditure, and institution factors in Sub-Saharan Africa countries: evidence based on a panel threshold model.

This article investigates the relationship between energy poverty and public expenditure for a sample of 20 Sub-Saharan countries over the period 2006-2020. This paper focuses on three research objectives. First is using a panel data threshold model with fixed effects proposed by Hansen (J Econom 93(2):345-368, 1999) to detect the presence of the nonlinear effect of public expenditure on energy poverty. Second, we try to explain the effect of public expenditure transmission channels on energy poverty. Third, we explore the impact of public expenditure on energy poverty considering the role of institution factors. Thus, our analysis approves the existence of a link between energy poverty and public expenditure with a threshold of about 17.65% of GDP. In addition, CO2 emissions can accelerate the growth of energy poverty in SSA countries. Indeed, the results show that in countries with high energy poverty, there is a bidirectional causal link between CO2 emissions and energy poverty. This would provide a better understanding of the relationship between public expenditure and energy poverty suggesting useful implications for policymakers in targeting sustainable energy.

Determinants of environmental quality in India: evidence using the bootstrapped ARDL model with structural breaks.

This current study examines the impact of renewable energy consumption, agriculture, and globalization on carbon emissions in India over the period from 1980 to 2018. For long-run estimates, we apply Gregory-Hansen's co-integration test, bootstrap ARDL approaches, fully modified ordinary least squares, and dynamic OLS. The empirical results of long-run estimates indicate that a 1% increase in renewable energy consumption, agriculture, and economic globalization will increase carbon emissions by 0.764%, 1.675%, and 0.517%, respectively. Moreover, this study confirms the detrimental effect of these variables on carbon dioxide emissions. Economic globalization coefficients indicate that the scale effect is valid in India. The 2002 economic crisis slowed down the country's growth rate, which reduced the ecological pollution. Several policy recommendations are derived from the empirical findings.

Carbon dioxide intensity of GDP and environmental degradation in an emerging country.

This paper investigates whether the carbon dioxide (CO2) intensity of GDP matters for environmental degradation in an emerging country, namely, Turkey, over the period of 1990-2018 while controlling economic growth, foreign direct investment, and renewable energy consumption. The present study uses both linear and nonlinear time series estimators, namely, the Gregory and Hansen cointegration test, bounds test, nonlinear autoregressive distributed lag (NARDL) model, fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and canonical cointegrating regressions (CCR), to encapsulate the possible effect of CO2 intensity of GDP, economic growth, foreign direct investment, and renewable energy consumption on environmental degradation in Turkey. The empirical finding of the present study reveals that the CO2 intensity of GDP is an important factor to determine environmental degradation in Turkey and the declining CO2 intensity of GDP reduces environmental degradation. Moreover, economic growth is the primary environmental sustainability factor in Turkey. The result is vital for policymaking and can perhaps be applied to take decisive policy actions to mitigate environmental issues.

The asymmetric effect of renewable energy and trade on consumption-based CO2 emissions: The case of Italy.

Although numerous studies in the literature have been conducted to model CO2 emissions, there is a lack of empirical knowledge of consumption-based CO2 emissions, which are adjusted for international trade, specifically. Therefore, the present study aims to close this gap in the literature in the case of Italy, while capturing the asymmetric effect of trade, renewable energy, and economic growth on consumption-based CO2 emissions. The present study uses the Gregory-Hansen test for cointegration with regime shifts, Markov switching regression, nonlinear autoregressive distributed lag (NARDL), and frequency domain causality test. The study's outcomes reveal that (1) the asymmetric effect of import on consumption-based CO2 emissions is positive, implying that rising import is associated with declining consumption-based environmental quality; (2) export, renewable consumption, and economic growth reduce consumption-based CO2 emissions in Italy. Moreover, these outcomes are supported by the outcomes of the frequency domain causality test. These innovative insights may prompt policy-makers to implement eco-friendly methods, such as renewable energy distribution and environmental innovation, to achieve a greener future. Integr Environ Assess Manag 2022;18:784-795. © 2021 SETAC.

Investigating the myth of smokeless industry: environmental sustainability in the ASEAN countries and the role of service sector and renewable energy.

Since the development of the service sector and renewable energy reduce fossil-based energy consumption which mitigates CO2 emissions and this nexus provides a better understanding of the environmental sustainability. Considering the substantially increasing contribution of service sector and tremendous potential for renewable energy in ASEAN5 countries, leaning forward from ASEAN's energy and growth nexus, this study examines the impact of service sector contribution and renewable energy on the environmental quality of ASEAN5 using annual data from 1990 to 2018. The results of the fully modified ordinary least squared, dynamic ordinary least squared, and canonical co-integrating regressions depicted that the service sectors of Thailand, the Philippines, and Singapore augment CO2 emissions; however, the service sectors of Malaysia and Indonesia could reduce CO2 emissions. The increasing share of renewable energy can enhance environmental quality, but its magnitude varies in ASEAN5 economies; non-renewable energy, population, and economic development deteriorate the environment. Our results confirm the existence of environmental Kuznets curve in all the ASEAN5; the Gregory-Hansen test confirmed that results are robust. Finally, the Granger causality designated that economic development and non-renewable energy have a significant causal relationship with CO2 emission of ASEAN5 countries. These findings suggest that the ASEAN5 economies need to optimize their economic structure for promoting sustainable development in the long run.Graphical abstract.

Environmental pollution of China to foreign investors: detrimental or beneficial?

This study investigates the dynamic linkage among foreign direct investment, energy consumption, and environmental pollution of China spanning from 1990 to 2014. Despite the extant literature on the FDI-energy-growth-environmental pollution nexus, most of the conclusion seems inconsistent. Hence, this study utilized recent econometric techniques such as the dynamic ordinary least square (DOLS), autoregressive distributed lag (ARDL) bounds test approach, Gregory and Hansen structural cointegration, and the bootstrap Granger causality. The study also disaggregated energy consumption into various sources to identify their respective distinct impact on the environment. Our study confirmed the presence of the EKC curve for China in a quadratic equation applying the DOLS. The result of the bootstrapped Granger causality confirmed the presence of a unidirectional Granger causality running from CO2 emission to economic growth and export; non-renewable energy to economic growth, export to economic growth, and renewable energy; and urbanization to economic growth. Moreover, our study recognized the presence of a bi-directional connection between FDI and economic growth. Our study highly recommends that China modify its energy mix by incorporating more renewable energy resources such as hydro, wind, geothermal. Additionally, the regulatory bodies should strictly implement improved energy efficiency in the various sectors that complement total proper urban land usage as the urban population to total population significantly impelled an upsurge in environmental deterioration in China.

Incorporating Environmental Pollution and Human Development in the Energy-Growth Nexus: A Novel Long Run Investigation for Pakistan.

Energy acts as a catalyst to boost the human development index (HDI) in a country. However, the overuse of energy leads to environmental deterioration, which is a byproduct of economic development. Due to the utilization of non-renewable energy sources for a long time, worldwide environmental conditions have become alarming. This study investigates the relationship between renewable and non-renewable energy consumption, economic growth, environmental sustainability, and the human development index (HDI) in Pakistan. The investigation incorporates population growth and technology variables to form a multivariate framework. We use a fully modified ordinary least squares (FMOLS) approach to time-series data from 1990-2017. To check the robustness of estimations, we apply the Gregory-Hansen test with a causality test under the VECM to confirm this association's directions. Our findings confirm that non-renewable energy sources have a positive association with economic growth and CO2 emissions. However, human development, technology, and renewable energy boost economic development and reduce environmental pollution in Pakistan. The co-integration results confirmed the long run connectivity among all variables. The causality outcomes support the bidirectional causality between renewable and non-renewable energy consumption, economic growth, and CO2 emissions, both in the short and long run. These outcomes suggest that Pakistan should focus on energy shifts and gradually increase the share of renewables in its energy mix under the China Pakistan Economic Corridor (CPEC). Additionally, the government should increase human and technological development to enhance economic and environmental sustainability.

Renewable and non-renewable energy use and its relationship with economic growth in Myanmar.

This study aims to investigate the dynamic relationship between renewable and non-renewable energies, CO2 intensity and economic growth for the period of 1990-2016 using a case study of Myanmar. Autoregressive distributed lag, dynamic OLS, fully modified OLS and Gregory-Hansen co-integration are applied to analyse a time series dataset over the specified time period. The analysis shows that total energy use plays an insignificant role in promoting economic growth. However, decomposition analysis reveals that only renewable energy use significantly promotes, whereas non-renewable energy negatively influences, economic growth. Furthermore, non-renewable energy use is counterproductive in the presence of technological inefficiency, and the size of the overall labour force fosters economic growth. Overall results are robust under different estimation scenarios, including structural break, endogeneity and mixed order of integration. This study presents a new avenue of knowledge by investigating the role of decomposed energy use and technological efficiency in promoting economic growth in the context of Myanmar. Results emphasise the production and use of renewable energy to achieve sustainable economic development in Myanmar.

Is rapid growth in Internet usage environmentally sustainable for Australia? An empirical investigation.

This study estimates the short- and long-run effects of Internet usage and economic growth on carbon dioxide (CO2) emissions using annual time series macro data for Australia for the period 1985-2012. Autoregressive distributive lag (ARDL) bounds and Gregory-Hansen structural break cointegration tests are applied. ARDL estimates indicate no significant long-run relationship between Internet usage and CO2 emissions, which implies that the rapid growth in Internet usage is still not an environmental threat for Australia. The study further indicates that higher level of economic growth is associated with lower level of CO2 emissions; however, Internet usage and economic growth have no significant short-run relationship with CO2 emissions. Financial development has both short-run and long-run significant positive association with CO2 emissions. The findings offer support in favor of energy efficiency gains and a reduction in energy intensity in Australia. However, impulse response and variance decomposition analysis suggest that Internet usage, economic growth and financial development will continue to impact CO2 emissions in the future, and as such, this study recommends that in addition to the existing measures to combat CO2 emissions, Australia needs to exploit the potential of the Internet not only to reduce its own carbon footprint but also to utilize information and communication technology (ICT)-enabled emissions abatement potential to reduce emissions in various other sectors across the economy, such as, power, renewable energy especially in solar and wind energy, agriculture, transport and service.