International comparison of industrial CO 2 emission trends and the energy efficiency paradox utilizing production-based decomposition

Energy Economics

Volumn 34, Issue 5, 2012, Pages 1724-1741

  Kim, Kyunam ^a   Kim, Yeonbae ^a  

^a Seoul National University   (South Korea)

Author keywords

CO 2 emission; DEA analysis; Decomposition analysis; Energy efficiency paradox; Production technology

Indexed keywords

CROSS-COUNTRY ANALYSIS; DEA ANALYSIS; DECOMPOSITION ANALYSIS; ECONOMIC ACTIVITIES; EMISSION MITIGATION; EMISSION REDUCTION; EMISSION TRENDS; ENERGY MIX; INDUSTRY SECTORS; INTERNATIONAL COMPARISON; NON-OECD COUNTRIES; OECD COUNTRIES; PRODUCTION TECHNOLOGY; RELATIVE DEGREES; TECHNICAL EFFICIENCY; TECHNICAL POTENTIAL; TECHNOLOGICAL CHANGE;

CLIMATE CHANGE; ECONOMICS; EMISSION CONTROL; ENERGY EFFICIENCY; ENERGY UTILIZATION; GAS EMISSIONS; GREENHOUSE GASES;

CARBON DIOXIDE;

CARBON DIOXIDE; CARBON EMISSION; DATA ENVELOPMENT ANALYSIS; DECOMPOSITION ANALYSIS; ECONOMIC ACTIVITY; EMISSION CONTROL; ENERGY EFFICIENCY; ENVIRONMENTAL ECONOMICS; INDUSTRIAL EMISSION; INTERNATIONAL COMPARISON; MITIGATION; OECD; TECHNOLOGICAL CHANGE;

EID: 84864794503     PISSN: 01409883     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eneco.2012.02.009     Document Type: Article

References (46)

1. Ang B.W., Choi K.H. Decomposition of aggregate energy and gas emission intensities for industry: a refined Divisia index method. Energy J. 1997, 18:59-73.
2. Ang B.W., Liu F.L. A new energy decomposition method: perfect in decomposition and consistent in aggregation. Energy 2001, 26:537-548.
3. Ang B.W., Liu N. Handling zero values in the logarithmic mean Divisia index decomposition approach. Energy Policy 2007, 35:238-246.
4. Ang B.W., Liu N. Negative-value problems of the logarithmic mean Divisia index decomposition approach. Energy Policy 2007, 35:739-742.
5. 2 emissions in manufacturing. Energy Econ. 1997, 19:363-374.
6. Ang B.W., Zhang F.Q. A survey of index decomposition analysis in energy and environmental analysis. Energy 2000, 25:1149-1176.
7. Ang B.W., Zhang F.Q., Choi L.H. Factorizing changes in energy and environmental indicators through decomposition. Energy 1998, 23:489-495.
8. Asmild M., Paradi J.C., Aggarwall V., Schaffnit C. Combining DEA window analysis with the Malmquist index approach in a study of the Canadian banking industry. J. Product. Anal. 2004, 21:67-89.
9. Caves D.W., Christensen L.R., Diewert W.E. Multilateral comparisons of output, input, and productivity using superlative index numbers. Econ. J. 1982, 92:73-86.
10. Caves D.W., Christensen L.R., Diewert W.E. The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica 1982, 50:1393-1414.
11. Charnes A., Cooper W.W., Rhodes E. Measuring the efficiency of decision making units. Eur. J. Oper. Res. 1978, 2:429-444.
12. Cooper W.W., Seiford L.M., Tone T. Introduction to Data Envelopment Analysis and Its Uses: with DEA-solver Software and References 2006, Springer, New York.
13. DeCanio S.J., Watkins W.E. Investment in energy efficiency: do the characteristics of firms matter?. Rev. Econ. Stat. 1998, 80:95-107.
14. Färe R., Grosskopf S. Theory and application of directional distance functions. J. Product. Anal. 2000, 13:93-103.
15. Färe R., Grosskopf S. Modeling undesirable factors in efficiency evaluation: comment. Eur. J. Oper. Res. 2004, 157:242-245.
16. Färe R., Grosskopf S., Lovell C.A.K. Production Frontiers 1994, Cambridge University Press, Cambridge.
17. Färe R., Grosskopf S., Norris M., Zhang Z. Productivity growth, technical process, and efficiency change in industrialized countries. Am. Econ. Rev. 1994, 84:66-83.
18. Färe R., Grosskopf S., Tyteca D. An activity analysis model of the environmental performance of firms application to fossil-fuel-fired electric utilities. Ecol. Econ. 1996, 18:161-175.
19. Färe R., Grosskopf S., Pasurka C.A. Pollution abatement activities and traditional productivity. Ecol. Econ. 2007, 62:673-682.
20. Greening L.A., Davis W.B., Schipper L. Decomposition of aggregate carbon intensity for the manufacturing sector: comparison of declining trends from 10 OECD countries for the period 1971-1991. Energy Econ. 1998, 20:43-65.
21. Hamilton C., Turton H. Determinants of emissions growth in OECD countries. Energy Policy 2002, 30:63-71.
22. Hankinson G.A., Rhys J.M.W. Electricity consumption, electricity intensity and industrial structure. Energy Econ. 1983, 5:146-152.
23. Intergovernmental Panel on Climate Change (IPCC) Revised 1996 IPCC guidelines for national greenhouse gas inventories: workbook Vol. 2. United Nations Framework Convention on Climate Change, Paris 1997.
24. International Energy Agency (IEA) Energy Balances of OECD Countries 2008 2008, OECD, Paris.
25. International Energy Agency (IEA) Energy Balances of Non-OECD Countries 2008 2008, OECD, Paris.
26. 2 Emissions from Fuel Combustion 2009 Edition 2009, OECD, Paris.
27. Jaffe A.B., Stavins R.N. The energy-efficiency gap: what does it mean?. Energy Policy 1994, 22:804-810.
28. 2 emission trends in the iron and steel industry. Energy Policy 2002, 30:827-838.
29. 2 emissions from a non-Kyoto protocol member's (Taiwan) perspective. Energy Policy 2006, 34:1499-1507.
30. Norman M., Stoker B. Data Envelopment Analysis: The Assessment of Performance 1991, John Wiley & Sons, New York.
31. Pasurka C.A. Decomposing electric power plant emissions within a joint production framework. Energy Econ. 2006, 28:26-43.
32. Shama A. Energy conservation in US buildings: solving the high potential/low adoption paradox from a behavioural perspective. Energy Policy 1983, 11:148-167.
33. Shestalova V. Sequential Malmquist indices of productivity growth: an application to OECD industrial activities. J. Product. Anal. 2003, 19:211-226.
34. 2 emissions in the OECD: 1960-1995. Energy J. 1999, 20:147-155.
35. United Nations International Standard Industrial Classification of All Economic Activities (ISIC) Rev.3 New York 1989, http://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=2.
36. United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates 2009, http://data.un.org/Data.aspx?d=SNAAMA&f=grID%3a102%3bcurrID%3aUSD%3bpcFlag%3a0.
37. Van Soest D.P., Bulte E.H. Does the energy-efficiency paradox exist? Technological progress and uncertainty. Environ. Resour. Econ. 2001, 18:101-112.
38. Wang C. Decomposing energy productivity change: a distance function approach. Energy 2007, 32:1326-1333.
39. 2 emission in China: 1957-2000. Energy 2005, 30:73-83.
40. Wood R., Lenzen M. Zero-value problems of the logarithmic mean Divisia index decomposition method. Energy Policy 2006, 34:1326-1331.
41. Zaim O. Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA framework. Ecol. Econ. 2004, 48:37-47.
42. Zaim O., Taskin F. Environmental efficiency in carbon dioxide emissions in the OECD: a non-parametric approach. J. Environ. Manage. 2000, 58:95-107.
43. 2 emissions: a production-theoretical approach. Energy Econ. 2008, 30:1054-1067.
44. Zhou P., Ang B.W., Poh K.L. Slacks-based efficiency measures for modeling environmental performance. Ecol. Econ. 2006, 60:111-118.
45. Zhou P., Poh K.L., Ang B.W. A non-radial DEA approach to measuring environmental performance. Eur. J. Oper. Res. 2007, 178:1-9.
46. Zhou P., Ang B.W., Poh K.L. Measuring environmental performance under different environmental DEA technologies. Energy Econ. 2008, 30:1-14.