Estimating the provincial environmental Kuznets curve in China: a geographically weighted regression approach-Reference-Cited by-同舟云学术

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Estimating the provincial environmental Kuznets curve in China: a geographically weighted regression approach

Published:2017-12-13 Issue:7 Volume:32 Page:2147-2163
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Kim Yoomi^ORCID,Tanaka Katsuya,Ge Chazhong

Funder

Ministry of Education of the Republic of Korea and the National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/article/10.1007/s00477-017-1503-z/fulltext.html

Reference62 articles.

1. Arsanjani JJ, Helbich M, de Noronha Vaz E (2013) Spatiotemporal simulation of urban growth patterns using agent-based modeling: the case of Tehran. Cities 32:33–42

2. Aslanidis N, Iranzo S (2009) Environment and development: is there a Kuznets curve for CO2 emissions? Appl Econ 41(6):803–810

3. Azomahou T, Laisney F, Van PN (2006) Economic development and CO2 emissions: a nonparametric panel approach. J. Public Econ 90(6):1347–1363

4. Berkowitz P, Gomez G, Gjermano L, Schafer G (2007) Brand China: using the 2008 Olympic games to enhance China’s image. Place Brand Public Dipl 3(2):164–178

5. Brajer V, Mead RW, Xiao F (2008) Health benefits of tunneling through the Chinese environmental Kuznets curve (EKC). Ecol Econ 66(4):674–686

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