Examining the links among economic growth, energy consumption, and CO2 emission with linear and nonlinear causality tests
详细信息 查看全文
- 作者：Kefan Wang ; Bangzhu Zhu ; Ping Wang ; Yi-Ming Wei
- 关键词：Economic growth ; Energy consumption ; CO2 emission ; China ; Linear and nonlinear causality tests
- 刊名：Natural Hazards
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：81
- 期：2
- 页码：1147-1159
- 全文大小：636 KB
- 参考文献：Ahdi N, Ghassen E, Duc K (2013) Testing the relationships between energy consumption and income in G7 countries with nonlinear causality tests. Econ Model 35:126–133CrossRef
Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 1:716–723CrossRef
Alam M, Begum I, Buysse J, Huylenbroeck GV (2012) Energy consumption, carbon emission and economic growth nexus in Bangladesh: cointegration and dynamic causality analysis. Energy Policy 45:217–225CrossRef
Al-mulali U, Lee JY, Mohammed AH, Sheau-Ting L (2013) Examining the link between energy consumption, carbon dioxide emission, and economic growth in Latin America and the Caribbean. Renew Sustain Energy Rev 26:42–48CrossRef
Ang J (2008) Economic development, pollutant emission and energy consumption in Malaysia. J Policy Model 30(2):271–278CrossRef
Bowden N, Payne J (2009) The casual relationship between U.S. energy consumption and real output: a disaggregated analysis. J Policy Model 31:180–188CrossRef
Brock W, Dechert W, Scheinkman J, LeBaron B (1996) Test for independence based on the correlation dimension. Econom Rev 15:197–235CrossRef
Chiou-Wei S, Chen C, Zhu Z (2008) Economic growth and energy consumption revisited-evidence from linear and nonlinear Granger causality. Energy Econ 30:3063–3076CrossRef
Dickey D, Fuller W (1979) Distribution of the estimators for autoregressive time series with a unit root. J Am Stat As 74:427–431
Diks C, Panchenko V (2006) A new statistic and practical guidelines for nonparametric Granger causality testing. J Econ Dyn Control 30:1647–1669CrossRef
Engle R, Granger C (1987) Cointegration and error correction: representation, estimation, and testing. Econometrica 55:251–276CrossRef
Farhani S, Chaibi A, Rault C (2014) CO2 emission, output, energy consumption, and trade in Tunisia. Econ Model 38:426–434CrossRef
Ghosh S (2010) Examining carbon emission economic growth nexus for India: a multivariate cointegration approach. Energy Policy 38:3008–3014CrossRef
Govindaraju V, Tang C (2013) The dynamic links between CO2 emission, economic growth and coal consumption in China and India. Appl Energy 104:310–318CrossRef
Hiemstra C, Jones J (1994) Testing for linear and nonlinear Granger causality in the stock price-volume relation. J Financ 49:1639–1664
IEA (2014) CO2 eission from fuel combustion. IEA, Paris
IPCC (2006) Greenhouse gas inventory: IPCC guidelines for national greenhouse gas inventories. United Kingdom Meteorological Office, Bracknell
Li Wei, Sun S, Li H (2015) Decomposing the decoupling relationship between energy-related CO2 emissions and economic growth in China. Nat Hazards 79:977–997CrossRef
National Bureau of Statistics of China (1991) China statistical yearbook. China Statistics Press, Beijing
National Bureau of Statistics of China (2013) China statistical yearbook. China Statistics Press, Beijing
Pao H, Fu H (2013) The causal relationship between energy resources and economic growth in Brazil. Energy Policy 61:793–801CrossRef
Song Y, Zhang M, Shuang D (2015) Study on China’s energy-related CO2 emission at provincial level. Nat Hazards 77:89–100CrossRef
Stock J, Watson MW (1989) Interpreting the evidence on money-income causality. Econometrics 40:161–182CrossRef
Wang K (2012) Modelling the nonlinear relationship between CO2 emission from oil and economic growth. Econ Model 29:1537–1547CrossRef
Wang S, Zhou D, Zhou P, Wang Q (2011) CO2 emissions, energy consumption and economic growth in China: a panel data analysis. Energy Policy 39:4870–4875CrossRef
Wang S, Li Q, Fang C, Zhou C (2016) The relationship between economic growth, energy consumption, and CO2 emissions: empirical evidence from China. Sci Total Environ 542:360–371CrossRef
Yang Z, Zhao Y (2014) Energy consumption, carbon emission, and economic growth in India: evidence from directed acyclic graphs. Econ Model 38:533–540CrossRef - 作者单位：Kefan Wang (1)
Bangzhu Zhu (2)
Ping Wang (2)
Yi-Ming Wei (3)
1. School of Economics and Management, Wuyi University, Jiangmen, 520920, Guangdong, China
2. School of Management, Jinan University, Guangzhou, 510632, Guangdong, China
3. Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China - 刊物类别：Earth and Environmental Science
- 刊物主题：Earth sciences
Hydrogeology
Geophysics and Geodesy
Geotechnical Engineering
Civil Engineering
Environmental Management - 出版者：Springer Netherlands
- ISSN：1573-0840
文摘
Understanding the causal relationships among economic growth, energy consumption, and CO2 emission is important for formulating energy conservation and emission reduction policies. In this paper, we explore the causal relationships among economic growth, energy consumption, and CO2 emission in China during 1978–2012 by using both the linear and nonlinear causality tests. The obtained results show that the links examined by the linear and nonlinear causality tests are not all same. Both linear and nonlinear causality tests indicate a unidirectional causality from CO2 emission to GDP and a bi-directional causality between energy consumption and CO2 emission. Linear causality test indicates a unidirectional causality from energy consumption to GDP, while nonlinear causality test indicates a unidirectional causality from GDP to energy consumption. Finally, policy recommendations are proposed for achieving the target of coordinated, sustainable development of China. Keywords Economic growth Energy consumption CO2 emission China Linear and nonlinear causality tests