A spatial panel data approach to estimating U.S. state-level energy emissions

Burnett, J. Wesley; Bergstrom, John C.; Dorfman, Jeffrey H.

doi:10.1016/j.eneco.2013.07.021

Cited by 104 publications

(60 citation statements)

References 18 publications

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“…Therefore, it is reasonable to question its reliability with different assumptions and specifications. Besides, some scholars like to offer policy implications in their literature (e.g., [6,7,90]). One should not ignore that policy suggestions heavily rely on the robustness of applied model and the endogeneity of explanatory variables.…”

Section: Robustness Checkmentioning

confidence: 99%

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The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach

Zhou

2017

Sustainability

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This paper aims to reveal the nexus for sulfur dioxide (SO 2 ) emission and income, as well as the effects of technical progress on SO 2 emission in China based on environment Kuznets curve (EKC) hypothesis. The spatial panel technique is used in case the coefficient estimates are biased due to the negligence of spatial dependence. With the provincial panel data of China from 2004 to 2014, this is the first research that finds an inverse N-trajectory of the relationship between SO 2 emission and economic growth and confirms the beneficial impacts of technical advancement on SO 2 emission abatement. The empirical results also suggest that the industrial structure change is an important driving force of the SO 2 EKC. In addition, the direct and spillover effects of determinants on sulfur emission are clarified and estimated by a correct approach. Finally, we check the stability of our conclusions on the EKC shape for SO 2 and technical progress effects when controlling for different variables and specifications, through which we find the turning points are sensitive to variables selections.

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Section: Robustness Checkmentioning

confidence: 99%

“…Energy consumption is always a factor that was taken into account by many scholars in the studies of air pollution [2,3,6,90]. The coal combustion is one of the major sources of SO 2 emission.…”

Section: Energy Consumptionmentioning

confidence: 99%

The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach

Zhou

2017

Sustainability

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“…Concerns over these dangers have led researchers to explore more actively the CO2 emissions among countries, particularly by attempting to determine whether or not an Environmental Kuznets Curve (EKC) for CO2 actually exists. Yet previous studies have found mixed results for a CO2 EKC (Burnett et al, 2013b;Poudel et al, 2009), thereby leading some researchers like Aldy (2005) and Martinez-Zarzoso et al (2007) to call for additional investigations into the relationship between CO2 emissions and economic growth.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Environmental Kuznets Curve for Carbon Dioxide Emissions: Evidence for OECD and Non-OECD Countries

2015

EJSD

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Over the past two decades, researchers have sought to establish empirical evidence for an Environmental Kuznets Curve (EKC) for carbon dioxide (CO2), with varied results. This study builds on that research to re-evaluate whether the EKC exists for CO2 emissions, using an improved dataset and the enhanced econometric technique Arellano-Bover/Blundell-Bond Generalized Methods of Moments (GMM) estimator. We directly compare OECD countries with countries of the non-OECD regions of Latin America, Asia, and Africa to determine how various factors like economic growth, population, trade, urbanization, and energy use influence CO2 emissions. We find that the OECD countries have an N-shaped curve with income growth whereas the regions of Asia and Africa experience an income-based EKC pattern. The results further reveal that population growth has a mixed impact on CO2emissions,increased trade and urbanization contribute to CO2 emissions for most areas, and increased energy use actually helps to decrease CO2 emissions.

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“…Recently, the relationship between CO 2 emissions and the related influencing factors have been analyzed using spatial panel data models at the global level [35][36][37][38][39], national level [40,41], and provincial level [42][43][44][45]. There are numerous advantages to spatial panel data models, including improved efficiency with increasing degrees of freedom, the capability of controlling individual heterogeneity, and reduced the effects of collinearity among different variables [46].…”

Section: Introductionmentioning

confidence: 99%

Spatial Variations and Determinants of Per Capita Household CO2 Emissions (PHCEs) in China

Liu

Clarke-Sather

et al. 2017

Sustainability

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Abstract:In China, household CO 2 emissions (HCEs) are increasing due to economic development and accelerated urbanization. This paper details the spatial variations of per capita household CO 2 emissions (PHCEs) in China and the factors impacting PHCEs using spatial statistical analysis and a spatial panel data model for the period from 1997 to 2014. Our results indicate that (1) there has been high provincial variation in rates of change across China, with some provinces' PHCEs increasing by an order of magnitude from 1997 to 2014; (2) the Global Moran's I of PHCEs are above 0, and the spatial differences between PHCEs are caused by the High-High cluster and Low-Low cluster in China; (3) a 1% increase of per capita income, education level, and urbanization will result in increases in PHCEs of 0.6990%, 0.0149%, and 0.0044%, respectively, whilst a 1% increase in household size will result in a 0.0496% decrease in PHCEs. There are a large number of factors impacting CO 2 emissions, while there is little specific guidance on the spatial variations and provincial characteristics of CO 2 emissions from the perspective of household consumption.

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A spatial panel data approach to estimating U.S. state-level energy emissions

Cited by 104 publications

References 18 publications

The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach

The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach

An Analysis of the Environmental Kuznets Curve for Carbon Dioxide Emissions: Evidence for OECD and Non-OECD Countries

Spatial Variations and Determinants of Per Capita Household CO2 Emissions (PHCEs) in China

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