An environment Kuznets curve for ecological footprint: Evidence from GCC 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.

Section: Cross-sectional Dependencementioning

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

“…The number of studies that analyzed the relationship among renewable energy, economic growth, and environmental quality (Ozturk and Acaravci, 2010;Nassani et al 2017;Destek and Sarkodie 2019; Baloch and Wang 2019; Ahmed et al 2020). Some studies also investigate the environmental Kuznets curve (EKC) hypothesis like (Zhao et al, 2016;Ozatac et al, 2017;Pata, 2018;Dogan & Turkekul, 2018;Lin & Zhu, 2018;Salim et al, 2018;Ansari et al 2019;Ansari et al 2020a). A recent study by Ansari et al (2020) (Beckerman, 1992;Zhengge, 2008;Jalil & Feridun, 2011;Khan et al, 2018;Ali et al, 2019;Lv & Xu 2019;Mahmood et al, 2020;Abdouli & Hammami, 2020).…”

Section: Renewable Energy Economic Growth and Environmental Qualitymentioning

confidence: 99%

Determinants of material footprint in BRICS countries: an empirical analysis

Sahoo

Saini

Villanthenkodath

2021

Environ Sci Pollut Res

This paper explores the relationship between renewable energy consumption, urbanization, human capital, trade, natural resources, and material footprint for BRICS countries from 1990 to 2016. We apply the cross-sectional dependency test to check the correlation among the crosssection. Then, we use the second-generation panel test like CADF and CIPS to check the stationary in the series. After that, we go for the panel cointegration test, i.e., Pedroni and Westerlund panel cointegration, to know the long-run relationship of the variable. The test results reject the null hypothesis of no cointegration among the variables and accept cointegration. The long-run results indicate that economic growth, natural resources, renewable energy, and urbanization have reduced the environmental quality for BRICS countries in case of material footprint employed to measure environmental degradation. However, foreign trade, human capital improves environmental quality. Based on the empirical results, the study recommended some important policy suggestions to achieve sustainable development in BRICS countries.

“…The number of studies that analyzed the relationship among renewable energy, economic growth, and environmental quality (Ozturk and Acaravci, 2010;Nassani et al 2017;Destek and Sarkodie 2019;Baloch and Wang 2019;Ahmed et al 2020). Some studies also investigate the environmental Kuznets curve (EKC) hypothesis like (Zhao et al, 2016;Ozatac et al, 2017;Pata, 2018;Dogan & Turkekul, 2018;Lin & Zhu, 2018;Salim et al, 2018;Ansari et al 2019;Ansari et al 2020a). A recent study by Ansari et al (2020) examined the EKC in the Asian sub-region and found that in regions like central and East Asian countries, there is an existence of EKC hypothesis, and regions like west, south, and Southeast Asia does not validate the EKC hypothesis.…”

Section: Renewable Energy Economic Growth and Environmental Qualitymentioning

confidence: 99%

Determinants of Material Footprint in BRICS Countries: An Empirical Analysis

Sahoo

Saini

Villanthenkodath

2021

Preprint

This paper explores the relationship between renewable energy consumption, urbanization, human capital, trade, natural resources, and material footprint for BRICS countries from 1990 to 2016. We apply the cross-sectional dependency test to check the correlation among the cross-section. Then, we use the second-generation panel test like CADF and CIPS to check the stationary in the series. After that, we go for the panel cointegration test, i.e., Pedroni and Westerlund panel cointegration, to know the long-run relationship of the variable. The test results reject the null hypothesis of no cointegration among the variables and accept cointegration. The long-run results indicate that economic growth, natural resources, renewable energy, and urbanization have reduced the environmental quality for BRICS countries in case of material footprint employed to measure environmental degradation. However, foreign trade, human capital improves environmental quality. Based on the empirical results, the study recommended some important policy suggestions to achieve sustainable development in BRICS countries.