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Technology Invention and Diffusion in Residential Energy Consumption. A Stochastic Frontier Approach

Author

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  • Giovanni Marin

    (IRCrES-CNR and SEEDS)

  • Alessandro Palma

    (IEFE Bocconi – Centre for Research on Energy and Environmental Economics and Policy and SEEDS)

Abstract

Traditional large appliances absorb a large share of residential electricity consumption and represent important targets of energy policy strategies aimed at achieving energy security. Despite being characterized by rather mature technologies, this group of appliances still offers large potential in terms of efficiency gains due to their pervasive diffusion. In this paper we analyse the electricity consumption of a set of four traditional ‘white goods’ in a panel of ten EU countries observed over 21 years (1990-2010), with the aim of disentangling the amount of technical efficiency from the overall energy saving. The technical efficiency trend is modelled through a set of technology components representing both the invention and adoption process by means of specific patents weighted by production and bilateral import flows, which allows to overcome the rigid Stochastic Frontier framework in modelling the effect of technical change. Our results show that the derived energy demand and inefficiency trends are both related to changes in the amount of available technology embodied in energy efficient appliances. The effect is significant both in its domestic and international components and suggests an active role of innovation and trade policies for achieving efficiency targets which directly impact the amount of electricity consumed by households.

Suggested Citation

  • Giovanni Marin & Alessandro Palma, 2015. "Technology Invention and Diffusion in Residential Energy Consumption. A Stochastic Frontier Approach," Working Papers 2015.104, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2015.104
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    1. Kenneth Gillingham & Karen Palmer, 2014. "Bridging the Energy Efficiency Gap: Policy Insights from Economic Theory and Empirical Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 8(1), pages 18-38, January.
    2. Alberini, Anna & Filippini, Massimo, 2011. "Response of residential electricity demand to price: The effect of measurement error," Energy Economics, Elsevier, vol. 33(5), pages 889-895, September.
    3. Vanessa Oltra & Rene Kemp & Frans P. De Vries, 2010. "Patents as a measure for eco-innovation," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 13(2), pages 130-148.
    4. Pedro Linares & Xavier Labandeira, 2010. "Energy Efficiency: Economics And Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 24(3), pages 573-592, July.
    5. Filippini, Massimo & Hunt, Lester C., 2012. "US residential energy demand and energy efficiency: A stochastic demand frontier approach," Energy Economics, Elsevier, vol. 34(5), pages 1484-1491.
    6. Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
    7. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    8. Gale A. Boyd, 2008. "Estimating Plant Level Energy Efficiency with a Stochastic Frontier," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 23-44.
    9. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    10. Nick Johnstone & Ivan Haščič & David Popp, 2010. "Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 133-155, January.
    11. Bronwyn H. Hall, 2010. "Measuring the Returns to R&D: The Depreciation Problem," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 341-381, National Bureau of Economic Research, Inc.
    12. Scott Kelly, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector," Working Papers EPRG 1117, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    13. Hadri, Kaddour, 1999. "Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 359-363, July.
    14. Raymond J.G.M. Florax & Henri L.F. de Groot & Peter Mulder (ed.), 2011. "Improving Energy Efficiency through Technology," Books, Edward Elgar Publishing, number 3830.
    15. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies," Journal of Regulatory Economics, Springer, vol. 28(1), pages 69-90, July.
    16. Sue Wing, Ian & Eckaus, Richard S., 2007. "The implications of the historical decline in US energy intensity for long-run CO2 emission projections," Energy Policy, Elsevier, vol. 35(11), pages 5267-5286, November.
    17. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    18. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    19. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    20. Elena Verdolini & Marzio Galeotti, 2009. "At Home and Abroad: An Empirical Analysis of Innovation and Diffusion in Energy-Efficient Technologies," Working Papers 2009.123, Fondazione Eni Enrico Mattei.
    21. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    22. Datta, Souvik & Gulati, Sumeet, 2014. "Utility rebates for ENERGY STAR appliances: Are they effective?," Journal of Environmental Economics and Management, Elsevier, vol. 68(3), pages 480-506.
    23. Kelly, Scott, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector," Energy, Elsevier, vol. 36(9), pages 5610-5620.
    24. Buck, J. & Young, D., 2007. "The potential for energy efficiency gains in the Canadian commercial building sector: A stochastic frontier study," Energy, Elsevier, vol. 32(9), pages 1769-1780.
    25. Costantini, Valeria & Liberati, Paolo, 2014. "Technology transfer, institutions and development," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 26-48.
    26. Noailly, Joëlle, 2012. "Improving the energy efficiency of buildings: The impact of environmental policy on technological innovation," Energy Economics, Elsevier, vol. 34(3), pages 795-806.
    27. Cabeza, Luisa F. & Urge-Vorsatz, Diana & McNeil, Michael A. & Barreneche, Camila & Serrano, Susana, 2014. "Investigating greenhouse challenge from growing trends of electricity consumption through home appliances in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 188-193.
    28. Saunders, Harry D., 2013. "Historical evidence for energy efficiency rebound in 30 US sectors and a toolkit for rebound analysts," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1317-1330.
    29. Jean O. Lanjouw & Ariel Pakes & Jonathan Putnam, 1998. "How to Count Patents and Value Intellectual Property: The Uses of Patent Renewal and Application Data," Journal of Industrial Economics, Wiley Blackwell, vol. 46(4), pages 405-432, December.
    30. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    31. Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
    32. Ang, B. W., 1995. "Multilevel decomposition of industrial energy consumption," Energy Economics, Elsevier, vol. 17(1), pages 39-51, January.
    33. Federico Belotti & Giuseppe Ilardi, 2012. "Consistent Estimation of the “True” Fixed-effects Stochastic Frontier Model," CEIS Research Paper 231, Tor Vergata University, CEIS, revised 18 Apr 2012.
    34. Frondel, Manuel & Horbach, Jens & Rennings, Klaus, 2008. "What triggers environmental management and innovation? Empirical evidence for Germany," Ecological Economics, Elsevier, vol. 66(1), pages 153-160, May.
    35. Richard G. Newell & Adam B. Jaffe & Robert N. Stavins, 1999. "The Induced Innovation Hypothesis and Energy-Saving Technological Change," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 941-975.
    36. Brounen, Dirk & Kok, Nils, 2011. "On the economics of energy labels in the housing market," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 166-179, September.
    37. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    38. Griliches, Zvi, 1998. "R&D and Productivity," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226308869, August.
    39. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    40. Thijs Van de Graaf & Dries Lesage, 2009. "The International Energy Agency after 35 years: Reform needs and institutional adaptability," The Review of International Organizations, Springer, vol. 4(3), pages 293-317, September.
    41. Saidur, R. & Masjuki, H.H. & Jamaluddin, M.Y. & Ahmed, S., 2007. "Energy and associated greenhouse gas emissions from household appliances in Malaysia," Energy Policy, Elsevier, vol. 35(3), pages 1648-1657, March.
    42. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    43. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    44. Jaffe Adam B. & Stavins Robert N., 1995. "Dynamic Incentives of Environmental Regulations: The Effects of Alternative Policy Instruments on Technology Diffusion," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 43-63, November.
    45. Kaza, Nikhil, 2010. "Understanding the spectrum of residential energy consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 38(11), pages 6574-6585, November.
    46. Kenneth Gillingham & Richard G. Newell & Karen Palmer, 2009. "Energy Efficiency Economics and Policy," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 597-620, September.
    47. Bosseboeuf, Didier & Chateau, Bertrand & Lapillonne, Bruno, 1997. "Cross-country comparison on energy efficiency indicators: the on-going European effort towards a common methodology," Energy Policy, Elsevier, vol. 25(7-9), pages 673-682.
    48. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    49. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    50. Filippini, Massimo & Pachauri, Shonali, 2004. "Elasticities of electricity demand in urban Indian households," Energy Policy, Elsevier, vol. 32(3), pages 429-436, February.
    51. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1.
    52. Filippini, Massimo, 1995. "Swiss residential demand for electricity by time-of-use," Resource and Energy Economics, Elsevier, vol. 17(3), pages 281-290, November.
    53. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    54. repec:bla:jindec:v:46:y:1998:i:4:p:405-32 is not listed on IDEAS
    55. Ouyang, Jinlong & Long, Enshen & Hokao, Kazunori, 2010. "Rebound effect in Chinese household energy efficiency and solution for mitigating it," Energy, Elsevier, vol. 35(12), pages 5269-5276.
    56. David Popp, 2003. "Pollution control innovations and the Clean Air Act of 1990," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 22(4), pages 641-660.
    57. Fernandez, Viviana P., 2001. "Observable and unobservable determinants of replacement of home appliances," Energy Economics, Elsevier, vol. 23(3), pages 305-323, May.
    58. Ek, Kristina & Söderholm, Patrik, 2010. "The devil is in the details: Household electricity saving behavior and the role of information," Energy Policy, Elsevier, vol. 38(3), pages 1578-1587, March.
    59. Jeroen Bergh, 2011. "Energy Conservation More Effective With Rebound Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 43-58, January.
    60. Bruno Van Pottelsberghe & Herman Denis & Dominique Guellec, 2001. "Using patent counts for cross-country comparisons of technology output," ULB Institutional Repository 2013/6227, ULB -- Universite Libre de Bruxelles.
    61. J. Daniel Khazzoom, 1980. "Economic Implications of Mandated Efficiency in Standards for Household Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 21-40.
    62. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    63. Valeria Costantini & Francesco Crespi & Alessandro Palma, 2015. "Characterizing the policy mix and its impact on eco-innovation in energy-efficient technologies," SEEDS Working Papers 1115, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2015.
    64. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    65. Filippini, Massimo & Hunt, Lester C. & Zorić, Jelena, 2014. "Impact of energy policy instruments on the estimated level of underlying energy efficiency in the EU residential sector," Energy Policy, Elsevier, vol. 69(C), pages 73-81.
    66. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    67. David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
    68. Jeroen C.J.M. van den Bergh & Albert Faber & Annemarth M. Idenburg & Frans H. Oosterhuis, 2007. "Evolutionary Economics and Environmental Policy," Books, Edward Elgar Publishing, number 12511.
    69. Verdolini, Elena & Galeotti, Marzio, 2011. "At home and abroad: An empirical analysis of innovation and diffusion in energy technologies," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 119-134, March.
    70. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    71. Malerba, Franco & Orsenigo, Luigi, 1996. "The Dynamics and Evolution of Industries," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 5(1), pages 51-87.
    72. Khademvatani, Asgar & Gordon, Daniel V., 2013. "A marginal measure of energy efficiency: The shadow value," Energy Economics, Elsevier, vol. 38(C), pages 153-159.
    73. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    74. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    75. Horbach, Jens, 2008. "Determinants of environmental innovation--New evidence from German panel data sources," Research Policy, Elsevier, vol. 37(1), pages 163-173, February.
    76. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, April.
    77. Costantini, Valeria & Crespi, Francesco & Martini, Chiara & Pennacchio, Luca, 2015. "Demand-pull and technology-push public support for eco-innovation: The case of the biofuels sector," Research Policy, Elsevier, vol. 44(3), pages 577-595.
    78. Lucas W. Davis, 2008. "Durable goods and residential demand for energy and water: evidence from a field trial," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 530-546, June.
    79. Markandya, Anil & Pedroso-Galinato, Suzette & Streimikiene, Dalia, 2006. "Energy intensity in transition economies: Is there convergence towards the EU average?," Energy Economics, Elsevier, vol. 28(1), pages 121-145, January.
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    More about this item

    Keywords

    Energy Efficiency; Technological Diffusion; Electrical Appliances; Stochastic Frontier Analysis; Residential Sector;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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