Energy Consumption and Economic Growth in China: A Reconciliation
AbstractIn conventional causality testing based on asymptotic distribution theory, there is a high risk of wrongly rejecting the true null of no causality especially when the sample size is as small as typically seen in the literature. In this study, we offer a formal diagnosis of the existing contradictory results on the causal relationship between energy consumption and real GDP. We also employ a time series oriented advanced data generation process to perform simulation based inference for the People's Republic of China. Our study covers the 1971â2007 period and considers five different aggregated and disaggregated energy consumption measures as well as three different lag orders in both a bivariate as well as a multivariate frameworks. Our maximum entropy bootstrap based analysis, which avoids pretest biases and is also robust to Type I errors, supports the neutrality hypothesis in 53 out of the total of 60 model estimations. The strong results show that coarse aggregate data has a limited potential to observe the complex causal linkages between energy consumption and economic growth. Future policy oriented research on this nexus requires more focused analyses based on sectoral and provincial data.
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Bibliographic InfoPaper provided by TOBB University of Economics and Technology, Department of Economics in its series Working Papers with number 1202.
Date of creation: Apr 2012
Date of revision:
Other versions of this item:
- Talha Yalta, A. & Cakar, Hatice, 2012. "Energy consumption and economic growth in China: A reconciliation," Energy Policy, Elsevier, vol. 41(C), pages 666-675.
- NEP-ALL-2012-04-17 (All new papers)
- NEP-CWA-2012-04-17 (Central & Western Asia)
- NEP-ENE-2012-04-17 (Energy Economics)
- NEP-FDG-2012-04-17 (Financial Development & Growth)
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- R. Scott Hacker & Abdulnasser Hatemi-J, 2006. "Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1489-1500.
- Ghali, Khalifa H. & El-Sakka, M. I. T., 2004. "Energy use and output growth in Canada: a multivariate cointegration analysis," Energy Economics, Elsevier, vol. 26(2), pages 225-238, March.
- Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Arslanturk, Yalcin, 2010. "Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window," Energy Economics, Elsevier, vol. 32(6), pages 1398-1410, November.
- A. Talha Yalta, 2011.
"Analyzing Energy Consumption and GDP Nexus Using Maximum Entropy Bootstrap: The Case of Turkey,"
1103, TOBB University of Economics and Technology, Department of Economics.
- Yalta, A. Talha, 2011. "Analyzing energy consumption and GDP nexus using maximum entropy bootstrap: The case of Turkey," Energy Economics, Elsevier, vol. 33(3), pages 453-460, May.
- Mantalos Panagiotis, 2000. "A Graphical Investigation of the Size and Power of the Granger-Causality Tests in Integrated-Cointegrated VAR Systems," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(1), pages 1-18, April.
- Zhang, Xing-Ping & Cheng, Xiao-Mei, 2009. "Energy consumption, carbon emissions, and economic growth in China," Ecological Economics, Elsevier, vol. 68(10), pages 2706-2712, August.
- Lukasz Lach, 2010.
"Application of Bootstrap Methods in Investigation of Size of the Granger Causality Test for Integrated VAR Systems,"
Managing Global Transitions,
University of Primorska, Faculty of Management Koper, vol. 8(2), pages 167-186.
- Lach, Łukasz, 2010. "Application of bootstrap methods in investigation of size of the Granger causality test for integrated VAR systems," MPRA Paper 52285, University Library of Munich, Germany.
- Hashem Pesaran, M., 2003. "Aggregation of linear dynamic models: an application to life-cycle consumption models under habit formation," Economic Modelling, Elsevier, vol. 20(2), pages 383-415, March.
- Davidson, Russell & MacKinnon, James G., 1999.
"The Size Distortion Of Bootstrap Tests,"
Cambridge University Press, vol. 15(03), pages 361-376, June.
- Yuan, Jiahai & Zhao, Changhong & Yu, Shunkun & Hu, Zhaoguang, 2007. "Electricity consumption and economic growth in China: Cointegration and co-feature analysis," Energy Economics, Elsevier, vol. 29(6), pages 1179-1191, November.
- Vinod, H. D., 2004. "Ranking mutual funds using unconventional utility theory and stochastic dominance," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 353-377, June.
- Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
- Hrishikesh D. Vinod & Javier Lopez-de-Lacalle, . "Maximum Entropy Bootstrap for Time Series: The meboot R Package," Journal of Statistical Software, American Statistical Association, vol. 29(i05).
- James G. MacKinnon, 2002. "Bootstrap inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 35(4), pages 615-645, November.
- Yuan, Jia-Hai & Kang, Jian-Gang & Zhao, Chang-Hong & Hu, Zhao-Guang, 2008. "Energy consumption and economic growth: Evidence from China at both aggregated and disaggregated levels," Energy Economics, Elsevier, vol. 30(6), pages 3077-3094, November.
- Soytas, Ugur & Sari, Ramazan, 2006. "Can China contribute more to the fight against global warming?," Journal of Policy Modeling, Elsevier, vol. 28(8), pages 837-846, November.
- JAMES G. MacKINNON, 2006.
"Bootstrap Methods in Econometrics,"
The Economic Record,
The Economic Society of Australia, vol. 82(s1), pages S2-S18, 09.
- Chen, Sheng-Tung & Kuo, Hsiao-I & Chen, Chi-Chung, 2007. "The relationship between GDP and electricity consumption in 10 Asian countries," Energy Policy, Elsevier, vol. 35(4), pages 2611-2621, April.
- Shiu, Alice & Lam, Pun-Lee, 2004. "Electricity consumption and economic growth in China," Energy Policy, Elsevier, vol. 32(1), pages 47-54, January.
- Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2004.
"Aggregate vs Disaggregate Data Analysis — A Paradox in the Estimation of a Money Demand Function of Japan Under the Low Interest Rate Policy,"
IEPR Working Papers
04.1, Institute of Economic Policy Research (IEPR).
- Yan Shen & Cheng Hsiao & Hiroshi Fujiki, 2005. "Aggregate vs. disaggregate data analysis-a paradox in the estimation of a money demand function of Japan under the low interest rate policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 579-601.
- Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2002. "Aggregate vs Disaggregate Data Analysis - A Paradox in the Estimation of Money Demand Function of Japan Under the Low Interest Rate Policy," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A4-1, International Conferences on Panel Data.
- Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
- Soytas, Ugur & Sari, Ramazan, 2007. "The relationship between energy and production: Evidence from Turkish manufacturing industry," Energy Economics, Elsevier, vol. 29(6), pages 1151-1165, November.
- Narayan, Paresh Kumar & Prasad, Arti, 2008. "Electricity consumption-real GDP causality nexus: Evidence from a bootstrapped causality test for 30 OECD countries," Energy Policy, Elsevier, vol. 36(2), pages 910-918, February.
- Lewbel, Arthur, 1994. "Aggregation and Simple Dynamics," American Economic Review, American Economic Association, vol. 84(4), pages 905-18, September.
- A. Talha Yalta, 2013. "The Dynamics of Road Energy Demand and Illegal Fuel Activity in Turkey: A Rolling Window Analysis," Working Papers 1304, TOBB University of Economics and Technology, Department of Economics, revised Jul 2013.
- A. Talha Yalta, 2013. "Small Sample Bootstrap Inference of Level Relationships in the Presence of Autocorrelated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Working Papers 1301, TOBB University of Economics and Technology, Department of Economics.
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