The environmental Kuznets curve for US counties: A spatial econometric analysis with extensions

Rupasingha, Anil; Goetz, Stephan J.; Debertin, David L.; Pagoulatos, Angelos

doi:10.1111/j.1435-5597.2004.tb01915.x

Cited by 118 publications

(54 citation statements)

References 17 publications

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“…These effects should be considered by creating an EKC. Rupasingha, Goetz, Debertin, and Pagoulatos () find a more cubic than inverted‐U‐shaped relationship between county per capita income and toxic pollutants, also affected by ethnic diversity. A comprehensive survey of the EKC hypothesis up to the year 2004 is provided by Dinda ().…”

Section: Environmental Awareness In the Literaturementioning

confidence: 99%

Index of environmental awareness through the MIMIC approach

Khakimova

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Wende

et al. 2019

Papers in Regional Science

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This paper addresses the issue of environmental awareness in the regions of the Russian Federation. For this purpose, an index of environmental awareness at regional level is derived as a latent variable from various categories of search entries in Yandex, the prominent Russian search engine, during two periods in the years 2014 and 2015. The frequency of these search requests presumably depends on certain economic and socio‐economic causes, which are integrated into the model for further investigation. The relation between regional wealth and environmental awareness is thereby of particular interest. The multiple indicators‐multiple (MIMIC) causes model allows us to estimate an index of environmental awareness and to rank the Russian regions according to this index.

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Section: Environmental Awareness In the Literaturementioning

confidence: 99%

Index of environmental awareness through the MIMIC approach

Khakimova

Lösch

Wende

et al. 2019

Papers in Regional Science

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“…Spatial models were first used as a tool for assessing the EKC hypothesis by Rupasingha et al (2004). Extending the use of more sophisticated econometric approaches, Maddison (2006) studied a spatial variant of the EKC hypothesis for national emissions of SO 2 and NO x and found evidence that national emissions are lowered by proximity to nations with high per capita income, contradicting the notion that nations must achieve increased environmental quality at the expense of their neighbors.…”

Section: Literature Reviewmentioning

confidence: 99%

Have Greenhouse Gas Emissions from US Energy Production Peaked? State Level Evidence from Six Subsectors

Cary

2019

Preprint

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Analyses of the Environmental Kuznet's Curve (EKC) hypothesis have largely focused on economy level data with occasional analyses exploring sector level data. This paper exploits a new data set which contains sector level data on greenhouse gas emissions from the US energy sector as well as subsector data from six disjoint subsectors which together comprise the entire energy sector. The data contained in this data set is annual data at the state level from 1990 through 2011. A battery of EKC models are tested and some evidence supporting the EKC hypothesis is found for the US energy sector and its subsectors. We find that aggregated subsector level estimates outperform sector level estimate on in-sample accuracy. These estimated models are then used to forecast emissions for the energy sector. We find that EKC estimations for the energy sector as a whole are consistently lower than aggregated subsector EKC estimates. Addressing the title, we find limited evidence at best that US greenhouse gas emissions are at or near a peak.

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“…Some of them adopted spatial econometrics models to verify the relationship between air pollution and economic growth [17,18]. Rupasingha et al [19] were the first to consider spatial autocorrelation in their empirical analysis of the Environmental Kuznets Curve. Zhu et al [20] demonstrated a significant positive spatial effect of foreign direct investment (FDI) on SO 2 emission in the BTH region.…”

Section: Introductionmentioning

confidence: 99%

Spatial Correlation of Industrial NOx Emission in China’s 2 + 26 Policy Region: Based on Social Network Analysis

et al. 2020

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The Chinese government has identified air pollution transmission points in Beijing-Tianjin-Hebei region and its surrounding areas under 2 + 26 initiative. This study introduces a modified Gravity Model to construct the spatial correlation network of industrial NO x in 2 + 26 policy region from 2011 to 2015, and further explores network characteristics and socioeconomic factors of this spatial correlation network by Social Network Analysis. Results indicate significant correlation of industrial NO x emission in 2 + 26 policy cities. The spatial correlation network of industrial NO x has remained stable within 5 years, implying no pollution exacerbation of interregional transmission. According to the effect of output and input in the correlation network of industrial NO x , cities in 2 + 26 policy region can be categorized into four types: high-high, high-low, low-low, and low-high, as each should adopt the corresponding strategies for emission reduction. Shijiazhuang, Liaocheng, Cangzhou, Heze and Handan should be key monitored during implementation of emission reduction. Taiyuan, Hebi, Langfang, Tangshan and Yangquan, should give priority to local emission reduction although less associated with other cities, based on city type and current emission situation. Environmental regulation and geographical distance have significant influence on the spatial correlation network of industrial NO x , of which the indicator of environmental regulation difference matrix has become significantly negative since 2014, while the indicator of geographical effect has been significantly positive all along. Urban industrial emission has significant correlation between cities with distance of 0-300 km, while no significant correlation between cities with distance exceeding 300 km.

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The environmental Kuznets curve for US counties: A spatial econometric analysis with extensions

Cited by 118 publications

References 17 publications

Index of environmental awareness through the MIMIC approach

Index of environmental awareness through the MIMIC approach

Have Greenhouse Gas Emissions from US Energy Production Peaked? State Level Evidence from Six Subsectors

Spatial Correlation of Industrial NOx Emission in China’s 2 + 26 Policy Region: Based on Social Network Analysis

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