A gravity model and exploratory spatial data analysis of prefecture-scale pollutant and CO2 emissions in China-Reference-Cited by-同舟云学术

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A gravity model and exploratory spatial data analysis of prefecture-scale pollutant and CO2 emissions in China

Published:2018-07 Issue: Volume:90 Page:554-563
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Chen Jiandong,Xu Chong,Li Ke,Song Malin

Funder

Ministry of Education of China

National Natural Science Foundation of China

New Century Excellent Talents in University

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference61 articles.

1. Divergence in state-level per capita carbon dioxide emissions;Aldy;Land Econom.,2007

2. Exercising multidisciplinary approach to assess interrelationship between energy use, carbon emission and land use change in a metropolitan city of Pakistan;Ali;Renew. Sustain. Energy Rev.,2012

3. Local indicators of spatial association—LISA;Anselin;Geograph. Anal.,1995

4. Spatial effects in econometric practice in environmental and resource economics;Anselin;Am. J. Agric. Econ.,2001

5. Forecasting the path of China's CO 2 emissions using province-level information;Auffhammer;J. Environ. Econ. Manage.,2008

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