Estimation of environmental Kuznets curve for SO 2 emission: A case of Indian cities

Sinha, Avik; Bhattacharya, Joysankar

doi:10.1016/j.ecolind.2016.09.018

Cited by 106 publications

(31 citation statements)

References 83 publications

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“…On the contrary, Apergis et al [70] confirmed the EKC hypothesis, but only for ten U.S. states over 1960-2010, Ahmad et al [71] for Croatia over 1992Q1-2011Q1, Wang et al [72] for China over 2000-2013, and Sinha and Bhattacharya [73] for 139 Indian cities during 2001-2013. Table 1 summarizes the literature regarding the relationship between renewable energy consumption and economic growth.…”

Section: An Overview Of Literature On Renewable Energy Consumption-ecmentioning

confidence: 90%

Does Renewable Energy Drive Sustainable Economic Growth? Multivariate Panel Data Evidence for EU-28 Countries

2017

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Abstract:Energy is crucial to economic progress, but the contemporary worldwide population increase that demands greater energy generated from conventional exhaustible resources, an energy price upsurge, and environmental concerns, imperils sustainable economic growth. Nevertheless, switching to renewable energy produced from naturally replenished resources promotes energy security, likewise addressing issues such as global warming and climate change. This paper aims at exploring the influence and causal relation between renewable energy, both overall and by type, and sustainable economic growth of European Union (EU)-28 countries for the period of 2003-2014. We notice that the mean share of renewable energy in the gross final energy consumption is 15%, while the mean share of renewable energy in transport fuel consumption is 3%, which are below the thresholds of 20% and 10%, respectively, as set by the EU Directive 2009/28/EC. By estimating panel data fixed-effects regression models, the results provide support for a positive influence of renewable energy overall, as well as by type, namely biomass, hydropower, geothermal energy, wind power, and solar energy on gross domestic product per capita. However, biomass energy shows the highest influence on economic growth among the rest of renewable energy types. In fact, a 1% increase of the primary production of solid biofuels increases GDP per capita by 0.16%. Besides, cointegrating regressions set on panel fully modified and dynamic ordinary least squares regressions confirm the positive influence related to the primary production of renewable energies on economic growth. A 1% increase in primary production of renewable energies increases GDP per capita by 0.05%-0.06%. However, the results of Granger causality based on panel vector error correction model indicate both in short-run and long-run a unidirectional causal relationship running from sustainable economic growth to the primary production of renewable energies, being supported the conservation hypothesis.

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Section: An Overview Of Literature On Renewable Energy Consumption-ecmentioning

confidence: 90%

Does Renewable Energy Drive Sustainable Economic Growth? Multivariate Panel Data Evidence for EU-28 Countries

2017

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“…In this respect, the null hypothesis of nonstationarity within the series is evaluated against the alternative hypothesis that a proportion of the variables are completely static. Conversely, the LLC test for stationarity merges the various cross-sections, allowing the free movement of trends and intercepting coefficients across cross-sections and generating joint t-test results [63]. The LLC test evaluates the null hypothesis of stationarity between the individual cross-sections with the alternative hypothesis of stationarity between all cross-sections.…”

Section: Panel Unit Root Testmentioning

confidence: 99%

Trade Openness and Carbon Emissions: Evidence from Belt and Road Countries

et al. 2019

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The search for a green and low-carbon economy has been a guide to current energy and environmental research. Using current panel cointegration approaches, our study examines the interaction between trade and an environmental pollution proxy of carbon dioxide (CO2) emissions by integrating economic growth and energy usage as major potential determining factors in this relationship for 49 high-emission countries in Belt and Road regions over the period of 1991–2014. For a robust analysis, we further grouped these countries into income panels (high, middle, low) and various regions (East Asia, Southeast Asia, Central Asia, South Asia, the Middle East/Africa, and Europe). The results of the panel cointegration tests revealed that the four variables were stationary in the long run. Similarly, our panel results indicated that trade openness had both positive and negative impacts on environmental pollution, but the effect varied in these different groups of nations. The results of the vector error correction model (VECM) causality also showed a long-run causal effect between trade, economic growth, energy consumption, and environmental pollution in the Belt and Road, Europe, high-income, middle-income, and low-income panels. The environmental Kuznets curve (EKC) results further indicated the existence of an inverted U-form relationship between trade and carbon emissions. Finally, certain policy implications are discussed.

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“…This inverted U -shape relationship was then named as EKC by Panayotou (1993) in 1993. EKC analysis has been successfully used in many regions in recent years to forecast pollution emissions ( Sinha and Bhattacharya, 2017 , Dong et al, 2018 , Ding et al, 2019 ). A segmented quadratic equation is needed to fit the EKC for a precise forecasting of the pollution emission peak.…”

Section: Literature Reviewmentioning

confidence: 99%

Has air pollution emission level in the Beijing–Tianjin–Hebei region peaked? A panel data analysis

Meng

Zhou

2020

Ecological Indicators

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Highlights Air pollution emission level of the Beijing–Tianjin–Hebei region is fitted. Fitting curve to air pollution emission level reached the peak in 2015. Air pollution emissions in 2025 will decrease to the level of 2007. Industrial waste gas emissions play a decisive role for the pollution level change. Air quality is sensitive to the operation of building material industries.

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Estimation of environmental Kuznets curve for SO 2 emission: A case of Indian cities

Cited by 106 publications

References 83 publications

Does Renewable Energy Drive Sustainable Economic Growth? Multivariate Panel Data Evidence for EU-28 Countries

Does Renewable Energy Drive Sustainable Economic Growth? Multivariate Panel Data Evidence for EU-28 Countries

Trade Openness and Carbon Emissions: Evidence from Belt and Road Countries

Has air pollution emission level in the Beijing–Tianjin–Hebei region peaked? A panel data analysis

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