Published December 2009 | Version v1
Journal article

Environment Kuznets curve for CO2 emissions: A cointegration analysis for China

  • 1. Centre for Economic Development Research, Wuhan University, Wuhan 437002 (China)
  • 2. Department of Economics, Bilkent University, Ankara 06800 (Turkey)

Description

This study examines the long-run relationship between carbon emissions and energy consumption, income and foreign trade in the case of China by employing time series data of 1975-2005. In particular the study aims at testing whether environmental Kuznets curve (EKC) relationship between CO2 emissions and per capita real GDP holds in the long run or not. Auto regressive distributed lag (ARDL) methodology is employed for empirical analysis. A quadratic relationship between income and CO2 emission has been found for the sample period, supporting EKC relationship. The results of Granger causality tests indicate one way causality runs through economic growth to CO2 emissions. The results of this study also indicate that the carbon emissions are mainly determined by income and energy consumption in the long run. Trade has a positive but statistically insignificant impact on CO2 emissions.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enpol.2009.07.044

Additional details

Identifiers

DOI
10.1016/j.enpol.2009.07.044;
PII
S0301-4215(09)00552-7;

Publishing Information

Journal Title
Energy Policy
Journal Volume
37
Journal Issue
12
Journal Page Range
p. 5167-5172
ISSN
0301-4215
CODEN
ENPYAC

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41098131
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
CARBON DIOXIDE; CAUSALITY; CHINA; ECONOMIC DEVELOPMENT; ENERGY CONSUMPTION; ENVIRONMENTAL IMPACTS; GREENHOUSE GASES; GROSS DOMESTIC PRODUCT; TRADE
Descriptors DEC
ASIA; CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; OXIDES; OXYGEN COMPOUNDS

Optional Information

Copyright
Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.