Literature DB >> 31444727

The economic growth/development and environmental degradation: evidence from the US state-level EKC hypothesis.

Cem Isik1, Serdar Ongan2, Dilek Özdemir3.   

Abstract

This study investigates the validity of the EKC (environmental Kuznets curve) hypothesis for the 50 US states and a Federal District (Washington, D.C.). To this aim, the common correlated effects (CCE) and the augmented mean group (AMG) estimation procedures are applied between 1980 and 2015. While the CCE estimation does not support EKC hypothesis, the AMG does. The empirical findings of the AMG estimation indicate that only 14 states verify the EKC hypothesis. Additionally, the expected negative impacts of fossil energy consumption on the environment (CO2 emissions) are strongly detected in all states except Texas. However, the expected positive impacts of renewable energy consumption on the CO2 emissions are detected only in 13 states. Furthermore, the expected negative impacts of the population are not detected in some mostly populated states like New York, Texas, and Ohio. The overall findings of this study may help the US state-level policy makers in two ways: first, to understand whether their economic growths are sustainable (eco-friendly); second, to see how their fossil and renewable energy consumptions affect their environments and to review their energy policies.

Entities:  

Keywords:  AMG; CCE; Cross-sectional dependence; Environmental Kuznets curve (EKC); Fossil and renewable energy consumptions

Mesh:

Substances:

Year:  2019        PMID: 31444727     DOI: 10.1007/s11356-019-06276-7

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  12 in total

1.  Investigating the environmental Kuznets curve for Annex I countries using heterogeneous panel data analysis.

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Journal:  Environ Sci Pollut Res Int       Date:  2020-01-13       Impact factor: 4.223

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Authors:  Noshaba Aziz; Arshian Sharif; Ali Raza; Kong Rong
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-27       Impact factor: 4.223

3.  The impact of smart city pilots on corporate total factor productivity.

Authors:  Pengyu Chen
Journal:  Environ Sci Pollut Res Int       Date:  2022-06-28       Impact factor: 5.190

4.  The resilience of green firms in the twirl of COVID-19: Evidence from S&P500 Carbon Efficiency Index with a Fourier approach.

Authors:  Emrah Koçak; Umit Bulut; Angeliki N Menegaki
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5.  Optimal decisions for green supply chain with a risk-averse retailer under government intervention.

Authors:  Li Tang; Eldon Y Li; Peipei Wu; Jiang Jiang
Journal:  Environ Sci Pollut Res Int       Date:  2022-05-18       Impact factor: 5.190

Review 6.  What does the EKC theory leave behind? A state-of-the-art review and assessment of export diversification-augmented models.

Authors:  Mehdi Ben Jebli; Mara Madaleno; Nicolas Schneider; Umer Shahzad
Journal:  Environ Monit Assess       Date:  2022-05-10       Impact factor: 3.307

7.  Reducing coal overcapacity in China: a new perspective of optimizing local officials' promotion system.

Authors:  Qianqian Zhang; Xiaoli L Etienne; Ze Wang
Journal:  Environ Sci Pollut Res Int       Date:  2022-07-22       Impact factor: 5.190

8.  Which factors influence the decisions of renewable energy investors? Empirical evidence from OECD and BRICS countries.

Authors:  Nurcan Kilinc-Ata; Ilya A Dolmatov
Journal:  Environ Sci Pollut Res Int       Date:  2022-08-03       Impact factor: 5.190

9.  Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis.

Authors:  Rongrong Li; Ting Yang; Qiang Wang
Journal:  Environ Res       Date:  2022-10-14       Impact factor: 8.431

10.  Environmental Efficiency Assessment of Heavy Pollution Industry by Data Envelopment Analysis and Malmquist Index Analysis: Empirical Evidence from China.

Authors:  Jun Xu; Yuchen Jiang; Xin Guo; Li Jiang
Journal:  Int J Environ Res Public Health       Date:  2021-05-27       Impact factor: 3.390

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