Energy intensity: A decomposition and counterfactual exercise for Latin American countries

Energy Economics

Volumn 42, Issue , 2014, Pages 161-171

  Jimenez, Raul ^a   Mercado, Jorge ^a  

^a INTER AMERICAN DEVELOPMENT BANK   (United States)

Author keywords

Decomposition; Energy intensity; Panel data; Synthetic control method

Indexed keywords

ECONOMIC STRUCTURE; EFFICIENCY IMPROVEMENT; ENERGY INTENSITY; PANEL DATA; PER CAPITA INCOME; RELATIVE CONTRIBUTION; STRUCTURAL EFFECT; SYNTHETIC CONTROL;

DECOMPOSITION; ENERGY EFFICIENCY; REGRESSION ANALYSIS;

ECONOMICS;

ENERGY EFFICIENCY; ENERGY USE; GROSS DOMESTIC PRODUCT; PANEL DATA; PERFORMANCE ASSESSMENT; TREND ANALYSIS;

LATIN AMERICA;

EID: 84892538171     PISSN: 01409883     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eneco.2013.12.015     Document Type: Article

References (40)

1. Abadie A., Gardeazabal J. Economic costs of conflict: a case study of the Basque country. Am. Econ. Rev. 2003, 93(1):113-132.
2. Abadie A., Diamond A., Hainmueller J. Synthetic control methods for comparative case studies: estimating the effect of California's Tobacco Control Program. J. Am. Stat. Assoc. 2010, 105(490):493-505.
3. Abadie A., Diamond A., Hainmueller J. Synth: an R package for synthetic control methods in comparative case studies. J. Stat. Softw. 2011, 42(13):1-17. (Available at http://www.jstatsoft.org/v42/i13/paper).
4. Ang B.W. Decomposition analysis for policymaking in energy: which is the preferred method?. Energy Policy 2004, 32:1131-1139.
5. Ang B.W. Monitoring changes in economy-wide energy efficiency: from energy-GDP ratio to composite efficiency index. Energy Policy 2006, 34(5):574-582.
6. Ang B.W., Lee S.Y. Decomposition of industrial energy consumption: some methodological and application issues. Energy Econ. 1994, 16(2):83-92.
7. Ang B.W., Liu F.L. Eight methods for decomposing the aggregate energy-intensity of industry. Appl. Energy 2003, 76(1-3):15-23.
8. Ang B.W., Liu N. Handling zero values in the Logarithmic Mean Divisia Index decomposition approach. Energy Policy 2007, 35(1):238-246.
9. Ang B.W., Liu N. Negative-value problems of the Logarithmic Mean Divisia Index decomposition approach. Energy Policy 2007, 35(1):739-742.
10. Ang B.W., Liu F.L., Chung H. A generalized Fisher index approach to energy decomposition analysis. Energy Econ. 2004, 26:757-763.
11. Ang B.W., Huang H.C., Mu A.R. Properties and linkages of some index decomposition analysis methods. Energy Policy 2009, 37:4624-4632.
12. Ang B.W., Mu A.R., Zhou P. Accounting frameworks for tracking energy efficiency trends. Energy Econ. 2010, 32(5):1209-1219.
13. Balza L., Jimenez R. Models for Forecasting Energy Use and Electricity Demand: An Application to Central American Countries, Mexico and Dominican Republic 2013, Inter-American Development Bank, Washington, DC, (forthcoming).
14. Bernstein M., Fonkych K., Loeb S., Loughran D. "State-Level Changes in Energy Intensity and Their National Implications". Monograph Reports 2003, RAND Corporation, Santa Monica, CA.
15. Bhattacharya R., Shyamal P. Sectoral changes in consumption and intensity energy in India. Ind. Econ. Rev. 2001, 36(2):381-392.
16. Boyd G.A., Roop J.M. A note on the Fisher Ideal Index decomposition for structural change in energy intensity. Energy J. 2004, 25(1):87-101.
17. Boyd G.A., Hanson D.A., Sterner T.N.S. Decomposition of changes in energy intensity: a comparison of the Divisia Index and other methods. Energy Econ. 1988, 10(4):309-312.
18. de Boer P.M.C. Energy decomposition analysis: the generalized Fisher index revisited. Report/ Econometric Institute, Erasmus University Rotterdam 2008, 1-11. Erasmus School of Economics (ESE).
19. Duro J.A., Padilla E. Inequality across countries in energy intensities: an analysis of the role of energy transformation and final energy consumption. Energy Econ. 2011, 33:474-479.
20. Galiani S., Gonzalez-Rozada M. Inference and estimation in small sample dynamic panel data models. Business School Working Papers 02/2002 2002, Centro de Investigación en Finanzas, Universidad Torcuato Di Tella, Buenos Aires, Argentina, (Available at www.utdt.edu/departamentos/empresarial/cif/pdfs-wp/wpcif-022002.pdf).
21. Galli R. The relationship between energy intensity and income levels: forecasting long term energy demand in Asian emerging countries. Energy J. 1998, 19(4):85-105.
22. Greening L.A., Davis W.B., Schipper L., Khrushch M. Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries. Energy Econ. 1997, 19(3):375-390.
23. Hall R.E., Jones C.I. Why do some countries produce so much more output per worker than others?. Q. J. Econ. 1999, 114(1):83-116.
24. Hasanbeigi A., Rue du Can S., Sathaye S. Analysis and decomposition of the energy intensity of industries in California. Energy Policy 2012, 46.
25. Huntington H.G. Structural change and U.S. energy use: recent patterns. Energy J. 2010, 31:25-39.
26. IEA (International Energy Agency) Energy Indicators System: Index Construction Methodology 2012, IEA, Paris, France.
27. Judson R.A., Owen A.L. Estimating dynamic panel data models: a guide for macroeconomists. Econ. Lett. 1999, 65(1):9-15.
28. Ke J., Price L., Ohshita S., Fridley D., Zheng N., Zhou N., Levine M. China's industrial energy consumption trends and impacts of the top-1000 enterprises energy-saving program and the ten key energy-saving projects. Energy Policy 2012, 50:562-569.
29. Liddle B. Revisiting world energy intensity convergence of regional differences. Appl. Energy 2010, 87:3218-3225.
30. Ma C., Stern D.I. China's changing energy intensity trend: a decomposition analysis. Energy Econ. 2008, 30:1037-1053.
31. Metcalf G. An empirical analysis of energy intensity and its determinants at the state level. Energy J. 2008, 29(3):1-26.
32. Mulder P., de Groot H.L.F. Structural change and convergence of energy intensity across OECD countries, 1970-2005. Energy Econ. 2012, 34:1910-1921.
33. Nanduri M., Nyboer J., Jaccard M. Aggregating physical intensity indicators: results of applying the composite indicator approach to the Canadian industrial sector. Energy Policy 2002, 30(2):151-163.
34. Reddy B.S., Ray B.K. Understanding industrial energy use: physical energy intensity changes in Indian manufacturing sector. Energy Policy 2011, 39(11):7234-7243.
35. Sachs J.D., Warner A.M. Natural resource abundance and economic growth. NBER Working Paper No. 5398 1995, National Bureau of Economic Research (NBER), Cambridge, MA, (Available at http://www.nber.org/papers/w5398.pdf).
36. Shahiduzzaman M.D., Khorshed A. Changes in energy efficiency in Australia: a decomposition of aggregate energy intensity using logarithmic mean divisia approach. Energy Policy 2013, 56(3):341-351.
37. Sinton J.E., Levine M.D. Changing energy intensity in Chinese industry: the relatively importance of structural shift and intensity change. Energy Policy 1994, 22(3):239-255.
38. Sue Wing I. Explaining the declining energy intensity of the U.S. economy. Resour. Energy Econ. 2008, 30(1):21-49.
39. Voigt S.De, Cain E., Schymura M., Verdolini E. Energy intensity developments in 40 major economies: structural change or technology improvement?. Energy Econ. 2014, 41(1):47-62.
40. Zhang Z.X. Why did the energy intensity fall in China's industrial sector in the 1990s? The relative importance of structural change and intensity change. Energy Econ. 2003, 25(6):625-638.