Do renewable energy and globalization enhance ecological footprint: an analysis of top renewable energy countries?

Sahu

2021

Environ Sci Pollut Res

G20 countries are responsible for more than 80% of global energy consumption and the largest CO 2 emissions in the world. Literature related to the energy consumption-environmental quality-subjective wellbeing nexus is limited and lacks consensus. This paper analyses the impact of energy consumption and environmental quality on subjective wellbeing in G20 countries from 2006 to 2019 using a panel-corrected standard error (PCSE) model. Cantril life ladder data is used as a proxy of subjective wellbeing. For robustness, the Newey-West standard error model is used. The findings reveal that renewable energy consumption and environmental quality, i.e. lesser carbon emissions, enhance subjective wellbeing in G20 countries. In contrast, non-renewable energy consumption degrades subjective wellbeing. Moreover, the study also finds bidirectional causality between renewable energy consumption, non-renewable energy consumption, and economic growth. The policymakers of these countries should encourage renewable energy production and its consumption to reduce carbon emissions for conserving the environment and enhancing their people’s subjective wellbeing.

Section: Resultsmentioning

confidence: 99%

Do energy consumption and environmental quality enhance subjective wellbeing in G20 countries?

Kumari

Sahu

2021

Environ Sci Pollut Res

“…The CSD among the panels re ects the existence of a common unobserved shock among cross-sectional variables over a time period. Presence of CSD removes the mean values during correlation computation Ansari et al, 2020b). In the literature, there are many tests for identifying CSD among the panels.…”

Section: Cross-sectional Dependencementioning

confidence: 99%

“…Serial correlation is a disturbance term correlated with any variable of the model that has not been in uenced by the disturbance term associated with other variables in this model Attari et al, 2016;Ansari et al, 2020b). On the other hand, the problem of heteroskedasticity in panel data emerges when the variance of the error terms differs across observations (Simpson, 2012).…”

Section: Serial Correlation and Group-wise Heteroscedasticitymentioning

confidence: 99%

Impact of climate change on cereal production: evidence from lower-middle-income countries

Sahu

et al. 2021

Environ Sci Pollut Res

Self Cite

This study empirically examines the impact of climate change on cereal production in selected lower-middle-income countries with a balanced panel dataset spanning the period 1971-2016. The study uses average annual temperature, average annual rainfall, and CO 2 emissions to measure climate change. Besides this, cultivated land under cereal production, and rural population are also used as the control variables. Second generation unit root tests, i.e., CIPS, and CADF, are used to test the stationarity of the variables.Feasible Generalized Least Square (FGLS) model is used to overcome the issues of cross-sectional dependence, serial correlation, and group-wise heteroscedasticity. The ndings show that a rise in the temperature reduces the cereal production in lower-middleincome countries. While other climate variables, i.e., rainfall and CO 2, affect cereal production positively. The sensitivity of long run elasticity has been checked with the help of Driscoll-Kraay standard regression. The adverse effects of temperature on cereal production are likely to pose severe implications for food security. In conclusion, the paper recommends that governments and cereal producers should carry out adaptation activities and programmes to cope with the negative effects of temperature on cereal production.

“…Several studies have examined the effects of trade on the environmental indicators such as CO 2 emissions. Many studies have been conducted to observe the effect of trade on various environmental variables such as CO 2 emissions and total energy consumption for developed and/or developing countries [29][30][31][32][33][34], with varied results. Some found a positive correlation between trade, energy consumption, and CO 2 emissions, while others discovered an inversed U-curve, as well as uni-directional or bi-directional causality between these indicators.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Currently, the global economy is highly dependent on energy input in all facets of the economy. It poses energy protection and sustainability problems and produces high levels of greenhouse gas pollution at the same time [31]. Economic development is one factor influencing energy use and carbon emissions are the other.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Globalization, Energy Use, and Trade on Ecological Footprint in Pakistan: Does Environmental Sustainability Exist?

Rehman

Rădulescu

et al. 2021

Energies

Globalization has contributed to several advances in technology including linking people around the globe and driving us to modern economies. With fast economic growth and industrialization progress, the negative impact of globalization on biodiversity can be easily ignored. Globalization is an undeniable factor in our planetary devastation from pollution to global warming and climate change. The major intention of our recent analysis was to examine the globalization, energy consumption, trade, economic growth, and fuel importation to determine the ecological footprint in Pakistan by taking the annual data variables from 1974–2017. A linear ARDL (autoregressive distributed lag) technique with limited information maximum likelihood and linear Gaussian model estimation were utilized to check the variables association. Outcomes show that in the long run, globalization, energy usage, trade, and GDP growth have consistently productive interactions with the ecological footprint, while an examination of fuel importation uncovers an adversative linkage to impacts on the ecological footprint in Pakistan. Similarly, the findings of short-run interactions also reveal that globalization, energy usage, trade, and GDP growth have constructive linkages; however, an examination of fuel importation also uncovers an adversative linkage to impacts on the ecological footprint. The outcomes of limited information maximum likelihood also expose that the variables of globalization, energy usage, trade, and fuel importation have productive linkages, while an examination the GDP growth uncovers an adversative linkage to the ecological footprint. Furthermore, the outcomes of the linear Gaussian model estimation also uncover that globalization and energy usage demonstrate a constructive linkage, while other variables reveal an adverse linkage to the ecological footprint. Environmental pollution is now an emerging issue which causes the climatic variations associated with greenhouse gases emissions. The Pakistani government must adopt new strategies to ensure that CO2 emissions are reduced in order to stimulate economic growth.