Determinants of energy productivity in 39 countries: An empirical investigation

Energy Economics

Volumn 62, Issue , 2017, Pages 217-229

  Atalla, Tarek ^a   Bean, Patrick ^a  

^a King Abdullah Petroleum Studies and Research Center (KAPSARC)   (Saudi Arabia)

Author keywords

Cluster analysis; Co integration; Decomposition analysis; Economic growth; Energy productivity; WIOD

Indexed keywords

CLUSTER ANALYSIS; COBALT; COBALT COMPOUNDS; ECONOMIC ANALYSIS; ECONOMICS; PRODUCTIVITY;

COINTEGRATION; DECOMPOSITION ANALYSIS; ECONOMIC GROWTHS; ENERGY PRODUCTIVITY; WIOD;

INDUSTRIAL ECONOMICS;

CLUSTER ANALYSIS; COINTEGRATION ANALYSIS; DECOMPOSITION ANALYSIS; ECONOMETRICS; ECONOMIC GROWTH; ENERGY MARKET; ENERGY RESOURCE; PRODUCTIVITY;

EID: 85010223133     PISSN: 01409883     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eneco.2016.12.003     Document Type: Article

References (38)

1. Ang, B.W., Decomposition analysis for policymaking in energy: which is the preferred method?. Energy Policy 32:9 (2004), 1131–1139.
2. Ang, B.W., Liu, F.L., A new energy decomposition method: perfect in decomposition and consistent in aggregation. Energy 26:6 (2001), 537–548.
3. Ang, B.W., Xu, X.Y., Tracking industrial energy efficiency trends using index decomposition analysis. Energy Econ. 40 (2013), 1014–1021.
4. Ang, B.W., Zhang, F.Q., A survey of index decomposition analysis in energy and environmental studies. Energy 25:12 (2000), 1149–1176.
5. Ang, B.W., Xu, X.Y., Bin, S., Multi-country comparisons of energy performance: the index decomposition analysis approach. Energy Econ. 47 (2015), 68–76.
6. Ang, B.W., Zhang, F.Q., Choi, K.-H., Factorizing changes in energy and environmental indicators through decomposition. Energy 23:6 (1998), 489–495.
7. Atallah, T., Gualdi, S., Lanza, A., “Enhanced degree days for energy-related applications”, KAPSARC discussion paper, KS-1514-DP08A. Available at: https://www.kapsarc.org/wp-content/uploads/2015/10/KS-1514-DP08A-A-global-degree-days-database-for-energy-related-applications_for-web.pdf, 2015 (accessed July 26, 2016).
8. Bean, P., “The case for energy productivity: It's not just semantics”, KAPSARC discussion paper, KS-1402-DP01B. Available at: https://www.kapsarc.org/wp-content/uploads/2015/10/KS1402DP01B_case_for_energy_productivity_discussion_paper.pdf, 2014 (accessed July 26, 2016).
9. Boyd, G.A., Roop, J.M., A note on the Fisher ideal index decomposition for structural change in energy intensity. Energy J., 2004, 87–101.
10. Calinski, T., Harabasz, J., A dendrite method for cluster analysis. Commun. Stat. 3:1 (1974), 1–27.
11. Chang, T.-P., Jin-Li, H., Total-factor energy productivity growth, technical progress, and efficiency change: an empirical study of China. Appl. Energy 87:10 (2010), 3262–3270.
12. Choi, I., Unit root tests for panel data. J. Int. Money Financ. 20:2 (2001), 249–272.
13. DOE, “Energy department takes major steps to increase U.S. energy productivity and manufacturing”. US Department of Energy press release. accessed from http://energy.gov/articles/energy-department-takes-major-steps-increase-us-energy-productivity-and-manufacturing, 2014.
14. Federal Ministry of Economic Affairs and Technology, National Energy Efficiency Action Plan (EEAP) of the Federal Republic of Germany. Submitted in Accordance to the EU Directive on “Energy End-Use Efficiency and Energy Services”, 2006.
15. Fisher-Vanden, K., Jefferson, G.H., Jingkui, M., Jianyi, X., Technology development and energy productivity in China. Energy Econ. 28:5 (2006), 690–705.
16. Granger, C.W.J., Engle, R.F., Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 1987, 251–276.
17. Hadri, K., Testing for stationarity in heterogeneous panel data. Econ. J. 3:2 (2000), 148–161.
18. Hall, R.E., Jones, C.I., Why do some countries produce so much more output per worker than others?. Q. J. Econ. 114:1 (1999), 83–116.
19. Holdren, J.P., Population and the energy problem. Popul. Environ. 12:3 (1991), 231–255.
20. IEA, Energy Security and Climate Policy: Assessing Interactions. 2007, International Energy Agency.
21. IEA, World Energy Balances. 2014 International Energy Agency.
22. Jain, A.K., Narasimha Murty, M., Flynn, P.J., Data clustering: a review. ACM Comput. Surv. (CSUR) 31:3 (1999), 264–323.
23. Jimenez, R., Mercado, J., Energy intensity: a decomposition and counterfactual exercise for Latin American countries. Energy Econ. 42 (2014), 161–171.
24. Jones, D.W., Urbanization and energy use in economic development. Energy J. 10:4 (1989), 29–44.
25. Lefèvre, N., Measuring the energy security implications of fossil fuel resource concentration. Energy Policy 38:4 (2010), 1635–1644.
26. Maddala, G.S., Shaowen, W., A comparative study of unit root tests with panel data and a new simple test. Oxf. Bull. Econ. Stat. 61:S1 (1999), 631–652.
27. Mairet, N., Decellas, F., Determinants of energy demand in the French service sector: a decomposition analysis. Energy Policy 37 (2009), 2734–2744.
28. Metcalf, G.E., An empirical analysis of energy intensity and its determinants at the state level. Energy J., 2008, 1–26.
29. Newell, R.G., Jaffe, A.B., Stavins, R.N., The effects of economic and policy incentives on carbon mitigation technologies. Energy Econ. 28 (2006), 563–578.
30. Pedroni, P., Purchasing power parity tests in cointegrated panels. Review of Economics and Statistics 83:4 (2001), 727–731.
31. Song, F., Zheng, X., What drives the change in China's energy intensity: combining decomposition analysis and econometric analysis at the provincial level. Energy Policy 51 (2012), 445–453.
32. Sun, J.W., Ang, B.W., Some properties of an exact energy decomposition model. Energy 25:12 (2000), 1177–1188.
33. Timmer, M.P., (eds.) The World Input–Output Database (WIOD): Contents, Sources and Methods. WIOD Working Paper Number 10, 2012 accessed from http://www.wiod.org/publications/papers/wiod10.pdf on March 23, 2015.
34. Voigt, S., De Cian, E., Schymura, M., Verdolini, E., Energy intensity developments in 40 major economies: structural change or technology improvement?. Energy Econ. 41 (2014), 47–62.
35. Wheeler, D., Energy+ Country Performance Ratings 2001-2010, Center for Global Development Working Paper. 2012, 301 Available from http://www.cgdev.org/publication/energy-country-performance-ratings-2001%E2%80%932010-working-paper-301.
36. World Bank, The changing wealth of nations. Retrieved March 23, 2015 from http://siteresources.worldbank.org/ENVIRONMENT/Resources/ChangingWealthNations.pdf, 2011.
37. World Bank Database, World development indicators. retrieved March 23, 2015 from http://data.worldbank.org/indicator/?tab=all, 2014.
38. World Bank Group, World governance indicators. retrieved on March 22, 2015 from http://info.worldbank.org/governance/wgi/index.aspx#home, 2014.