Impact of energy policy instruments on the estimated level of underlying energy efficiency in the EU residential sector

Energy Policy

Volumn 69, Issue , 2014, Pages 73-81

  Filippini, Massimo ^a,b   Hunt, Lester C ^c   Zorić, Jelena ^d  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF LUGANO   (Switzerland)

^c UNIVERSITY OF SURREY   (United Kingdom)

^d UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Energy efficiency; Residential energy demand; Stochastic frontier analysis

Indexed keywords

ECONOMIC ANALYSIS; ELASTICITY; ENERGY POLICY; ENERGY UTILIZATION;

DESIGN AND IMPLEMENTS; ENERGY EFFICIENCY IMPROVEMENTS; ENERGY-PERFORMANCE STANDARDS; FINANCIAL INCENTIVES; INCOME ELASTICITIES; INFORMATIVE MEASURES; RESIDENTIAL ENERGY DEMAND; STOCHASTIC FRONTIER ANALYSIS;

ENERGY EFFICIENCY;

ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY POLICY; EUROPEAN UNION; POLICY MAKING; PRICE DYNAMICS; RESIDENTIAL ENERGY; STOCHASTICITY;

EUROPE;

EID: 84899060208     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2014.01.047     Document Type: Article

References (41)

1. ADEME, 2009. Energy Efficiency Trends and Policies in the EU 27, Results of the ODYSSEE-MURE Project. Paris, October 2009.
2. Aigner D.J., Lovell C.A.K., Schmidt P. Formulation and estimation of stochastic frontier production function models. J. Econ. 1977, 6(1):21-37.
3. Ang B.W. Monitoring changes in economy-wide energy efficiency: from energy-GDP ratio to composite efficiency index. Energy Policy 2006, 32(9):1131-1139.
4. Banfi S., Filippini M., Hunt L. Fuel tourism in border regions: the case of Switzerland. Energy Econ. 2005, 27:689-818.
5. Battese G.E., Coelli T.J. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Econ. 1995, 20:325-332.
6. Bigano A., Arigoni Ortiz R., Markandya A., Menichetti E., Pierfederici R. The linkages between energy efficiency and security of energy supply in Europe. Handbook of Sustainable Energy 2011, 60-83. Edward Elgar Publishing Ltd., Northampton. I. Galarraga, M. González-Eguino, A. Markandya (Eds.).
7. Council of the EU, 1998. Council Resolution of 7 December 1998 on Energy Efficiency in the European Community. OJ C 391/1.
8. Deaton A., Muellbauer J. Economics and Consumer Behaviour 1980, Cambridge University Press, Cambridge.
9. Directive 2006/32/EC of the European Parliament and of the Council of 5 April 2006 on Energy End-use Efficiency and Energy Services and Repealing Council Directive 93/76/EEC. OJ L 114, 27 April 2006.
10. Directive 2012/27/EU on Energy Efficiency, Amending Directives 2009/125/EC and 2010/30/EU and Repealing Directives 2004/8/EC and 2006/32/EC. OJ L315, 14 November 2012.
11. European Commission (EC), 1998. Communication from the Commission. Energy Efficiency in the European Community-Towards a Strategy for the Rational use of Energy. COM(1998) 246 final. Brussels, 29.04.1998.
12. EC, 2000. Communication from the Commission to the Council, the European Parliament, the Economic and Social Committee and the Committee of the Regions. Action Plan to Improve Energy Efficiency in the European Community. COM(2000) 247 final. Brussels, 26.04.2000.
13. EC, 2005. Green Paper on Energy Efficiency or Doing More with Less. COM(2005) 265 final. Brussels, 22.06.2005.
14. EC, 2006. Communication from the Commission. Action Plan for Energy Efficiency: Realising the Potential. COM (2006) 545 final. Brussels, 19.10.2006.
15. EC, 2010. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. Energy 2020-A Strategy for Competitive, Sustainable and Secure Energy. COM (2010) 639 final. Brussels, 10.11.2010.
16. EC, 2011a. Impact Assessment. Commission Staff Working Paper, SEC(2011) 780 final. Brussels, 22.6.2011.
17. EC Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. Energy Efficiency Plan 2011, COM (2011) 109 final. Brussels, 8.3.2011.
18. European Environment Agency, 2011. Energy Efficiency and Energy Consumption in the Household Sector (ENER 022)-Assessment Published Aug 2011. Available at: http://www.eea.europa.eu/data-and-maps/indicators/energy-efficiency-and-energy-consumption-2/assessment-2.
19. Eurostat. Accessed on 10 June 2012. http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database.%20Accessed%20on%2010%20June%202012.
20. 2 targets, Chapter 8 2013, Edward Elgar, Cheltenham. R. Fouquet (Ed.).
21. Farsi M., Filippini M. An analysis of cost-efficiency in Swiss multi-utilities. Energy Econ. 2009, 31:306-315.
22. Filippini M., Pachauri S. Elasticities of electricity demand in urban Indian households. Energy Policy 2004, 32:429-436.
23. Filippini M., Hunt L.C. Energy demand and energy efficiency in the OECD countries: a stochastic demand frontier approach. Energy J. 2011, 32(2):59-80.
24. Filippini M., Hunt L.C. US Residential Energy Demand and Energy Efficiency: a stochastic demand frontier approach. Energy Econ. 2012, 34(5):1484-1491.
25. Greene W. Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. J. Econ. 2005, 126:269-303.
26. Greene W. Fixed and random effects in stochastic frontier models. J. Prod. Anal. 2005, 23:7-32.
27. IEA, 2007. Energy Use in the New Millenium-Trends in IEA countries. OECD/IEA, Paris.
28. IEA Progress with Implementing Energy Efficiency Policies in the G8 2009, OECD/IEA, Paris.
29. IEA Energy Balances of OECD Countries 2012, ESDS International, University of Manchester. Edition, 10.5257/iea/ebo/2012.
30. Kopp R.J. The measurement of productive efficiency: a reconsideration. Q. J. Econ. 1981, 97:477-503.
31. Kumbhakar S.C., Lovell C.A.K. Stochastic Frontier Analysis 2000, Cambridge University Press, Cambridge.
32. Kumbhakar S.C., Ghost S., Mcguckin J.T. A generalized production frontier approach for estimating determinants of inefficiency in US Dairy Farms. J. Bus. Econ. Stat. 1991, 9(3):279-286.
33. Mundlak Y. On the pooling of time series and cross-section data. Econometrica 1978, 46(1):69-85.
34. MURE II. Database on Energy Efficiency Policies and Measures. http://www.muredatabase.org/. Accessed on 19 June 2012.
35. Odyssee, 2011. Database on the Energy Consumption Drivers by End-use, Energy Efficiency and CO2 Related Indicators. http://www.odyssee-indicators.org/database/database.php%20(subscription-based).
36. Pitt M., Lee L.F. The measurement and sources of technical inefficiency in the Indonesian weaving industry. J. Dev. Econ. 1981, 9:43-64.
37. Reinhard S., Lovell C.A.K., Thijssen G.J. Econometric estimation of technical and environmental efficiency: an application to Dutch dairy farms. Am. J. Agric. Econ. 1999, 81:44-60.
38. Saussay, A., Saheb, Y., Quirion, P., 2012. The impact of building energy codes on the energy efficiency of residential space heating in European countries-a stochastic frontier approach. In: International Energy Program Evaluation Conference, 12-14 June 2012, Rome.
39. Schmidt P., Lovell C.A.K. Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers. J. Econ. 1979, 9:343-366.
40. Sorrell S. The rebound effect: definition and estimation. International Handbook of the Economics of Energy 2009, 199-233. Edward Elgar, Cheltenham, (Chapter 9). L. Hunt, J. Evans (Eds.).
41. Zhou P., Ang B.W. Linear programming models for measuring economy-wide energy efficiency performance. Energy Policy 2008, 36:2911-2916.