The impact of public-private investment in energy on environmental degradation: evidence from major investment countries.

The objective of the present study is to explore the impact of public-private investment in energy, foreign direct investment, urbanization, and renewable and non-renewable energy consumption on environmental degradation in major investment countries during the period 1998Q4-2018Q4. In doing so, the cross-sectional dependence test and CIPS panel unit test were employed to identify the cross-sectionally dependency and the integrational properties/stationarity among the variables. Furthermore, we opted for Westerlund (2007) panel cointegration test to check the long-run association among the variables. To achieve the short-run and long-run elasticities, we have recommended cross-sectional-autoregressive distributive lag (CS-ARDL). The study outcomes revealed that public-private partnership in energy is negatively and significantly impacting CO2 emissions in both the short run and the long run. Furthermore, foreign direct investment and urbanization are negatively related to CO2 emissions, while renewable energy is positively affected it. However, the coefficients are insignificant. Moreover, non-renewable energy has a positive and substantial influence on CO2 emissions. Lastly, study outcomes offer several policy insights to develop investment in public and private partnerships in the energy sector to reduce CO2 emissions in major investment countries.

Nexus among the hydropower energy consumption, economic growth, and CO2 emissions: evidence from BRICS countries.

The present paper investigates the effects of hydropower energy consumption on economic growth and CO2 emissions in the BRICS countries, spanning the period 1990-2016. To achieve this aim of the study, we employ the panel autoregressive distributed lag (ARDL) model and panel quantile regression (PQR) estimations. The results confirm that hydropower energy consumption has a positive association with economic growth in the long run and short run, and negative association with CO2 emissions in the long run. Further, our panel quantile regression showed that the effects of independent variables on economic growth and CO2 emissions are heterogeneous across the quantiles. Specifically, the effect of hydropower energy use significantly promotes economic growth across all quantiles (expect 10th quantile), while hydropower energy use has a negative and positive impact on CO2 emissions in the lower and higher quantiles, respectively. Given these findings, our study offers substantial value to empirical literature and also provides important policy implications.

The impact of natural gas and renewable energy consumption on CO2 emissions and economic growth in two major emerging market economies.

For the last three decades, both China and India are considered as the largest emerging market economies in the world. Both of these economies play an essential role in the global economy in terms of economic output and CO2 emissions. Hence, these countries are expected to play an important role in setting up environmental and sustainable development policies. Therefore, our paper aims to examine the role of natural gas and renewable energy consumptions on CO2 emissions and economic growth during 1965-2016 within a multivariate framework. The autoregressive distributed lag bounds testing approach to cointegration and vector error correction model (VECM) is employed to explore the long-run and causal nexus among the natural gas consumption, renewable energy consumption, coal and petroleum consumption, CO2 emissions, and economic growth, respectively. The empirical results show existence of long-run equilibrium association among the variables. The Granger causality results indicate that the short-run bidirectional causality between renewable energy consumption and economic growth in India, while no causality is found between these two variables in China. However, natural gas consumption causes economic growth in China whereas no causality is confirmed in India in the short-run. The findings further suggest that there is long-run bidirectional causality among the considered variables in both countries. Our paper addresses several important policy implications.

The impact of hydropower energy consumption on economic growth and CO2 emissions in China.

The present study empirically investigates the impact of hydropower energy consumption on economic growth and CO2 emissions in China, spanning the period 1965-2016. Using the ARDL bounds testing approach to cointegration, this study confirms the existence of a long-run relationship among the variables. Moreover, hydropower energy consumption has a positive impact on economic growth, while CO2 emissions have a long-run negative impact on economic growth. However, economic growth and CO2 emissions have a positive impact on hydropower energy consumption. Further, the study failed to provide a support of the environmental Kuznets curve (EKC) hypothesis for China. The Granger causality test reveals that there is a unidirectional causality running from hydropower energy consumption to economic growth. Furthermore, there is a bidirectional causality among the hydropower energy consumption, economic growth, and CO2 emissions in the long run. Given these findings, we argue that hydropower energy consumption is considered as the driving force to enhance the economic growth in China.

Dynamics of renewable energy consumption and economic activities across the agriculture, industry, and service sectors: evidence in the perspective of sustainable development.

This study aims to examine the impact of renewable and non-renewable energy consumption on the agriculture, industry, services, and overall economic activities (GDP) across a panel of G20 nations. The study makes use of annual data from 1980 to 2012 on 17 countries of the G20. To achieve the study objectives, we apply several robust panel econometric models which account for cross-sectional dependence and heterogeneity in the analysis. The empirical findings confirm the significant long-run equilibrium relationship among the variables. The long-run elasticities indicate that both renewable and non-renewable energy consumptions have significant positive effect on the economic activities across the sectors and also on the overall economic output. These results also imply that the impact is more from renewable energy on economic activities than that of non-renewable energy. Given that, our results offer significant policy implications. We suggest that the policy makers should aim to initiate effective policies to turn domestic and foreign investments into renewable energy projects. This eventually ensures low carbon emissions and sustainable economic development across the G20 nations.