Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing

Energy Policy

Volumn 57, Issue , 2013, Pages 441-453

  Yu, Biying ^a   Zhang, Junyi ^a   Fujiwara, Akimasa ^a  

^a HIROSHIMA UNIVERSITY   (Japan)

Author keywords

Beijing; Energy behavior; Rebound effects

Indexed keywords

BEIJING; CROSS-ELASTICITIES; ELECTRIC FANS; ENERGY BEHAVIOR; HOUSEHOLD ENERGY CONSUMPTION; INTEGRATED MODELS; REBOUND EFFECT; RESOURCE ALLOCATION MODEL;

AIR CONDITIONING; ELASTICITY; ENERGY EFFICIENCY; ENERGY UTILIZATION; MICROWAVE OVENS;

DOMESTIC APPLIANCES;

ENERGY EFFICIENCY; ENERGY RESOURCE; HOUSEHOLD ENERGY; MODEL TEST; RESOURCE ALLOCATION;

BEIJING [CHINA]; CHINA;

EID: 84876331676     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2013.02.024     Document Type: Article

References (46)

1. Alfredsson E.C. 'Green' consumption-no solution for climate change. Energy 2004, 29:513-524.
2. Allan, G., Gilmartin, M., Turner, K., etc., 2007. UKERC Review of Evidence for the Rebound Effect Technical Report 4: Computable General Equilibrium Modelling Studies. UK Energy Research Centre, London.
3. Bhattacharyya, S.C., Timilsina, G.R., 2009. Energy Demand Models for Policy Formulation. Policy Research Working Paper 4866. The World Bank Development Research Group Environment and Energy Team.
4. Binswanger M. Technological progress and sustainable development: what about the rebound effect?. Ecological Economics 2001, 36(1):119-132.
5. Brannlund R., Ghalwash T., Nordstro J. Increased energy efficiency and the rebound effect: effects on consumption and emissions. Energy Economics 2007, 29:1-17.
6. Chalkley A.M., Billett E., Harrison D. An investigation of the possible extent of the re-spending rebound effect in the sphere of consumer products. The Journal of Sustainable Product Design 2001, 1:163-170.
7. Christensen L.R., Jorgenson D.W., Lau L.J. Transcendental logarithmic utility functions. The American Economic Review 1975, 65(3):367-383.
8. Dargay J. The effect of prices and income on car travel in the UK. Transportation Research Part A: Policy and Practice 2007, 41(10):949-960.
9. Davis, L.W., 2007. Durable Goods and Residential Demand for Energy and Water: Evidence from a Field Trial. Department of Economics, University of Michigan.
10. Douthitt R.A. The demand for residential space and water heating fuel by energy conserving households. The Journal of Consumer Affairs 1986, 20(2):231-248.
11. Druckman, A., Chitnis, M., Sorrell, T. Jackson, 2010. An Investigation into the Rebound and Backfire Effects from Abatement Actions by UK Households. Working Paper Series 05-10, University of Surrey.
12. Dubin J.A., Miedema A.K., Chandran R.V. Price effects of energy-efficient technologies: a study of residential demand for heating and cooling. Rand Journal of Economics 1986, 17(3):310-325.
13. Freire-González J. Empirical evidence of direct rebound effect in Catalonia. Energy Policy 2010, 38(5):2309-2314.
14. Freire-González J. Methods to empirically estimate direct and indirect rebound effect of energy-saving technological changes in households. Ecological Modelling 2011, 223(1):32-40.
15. Frondel M. Empirical assessment of energy-price policies: the case for cross-price elasticities. Energy Policy 2004, 32:989-1000.
16. Frondel M., Schmidt C.M. Evaluating environmental programs: the perspective of modern evaluation research. Ecological Economics 2005, 55(4):515-526.
17. Frondel M., Peters J., Vance C. Identifying the rebound: evidence from a German household panel. The Energy Journal 2008, 29(4):154-163.
18. Greening, L.A. Greene, D.L., 1998. Energy use, Technical Efficiency, and the Rebound Effect: A Review of the Literature. Report to the US Department of Energy, Office of Policy Analysis and International Affairs.
19. Greening L.A., Greene D.L., Difiglio C. Energy efficiency and consumption- the rebound effect-a survey. Energy Policy 2000, 28:389-401.
20. Guertin, C., Kumbhakar, S., Duraiappah, A., 2003. Determining Demand for Energy Services: Investigating Income-driven Behaviours. International Institute for Sustainable Development.
21. Hausman J.A. Individual discount rates and the purchase and utilization of energy-using durables. Bell Journal of Economics 1979, 10(1):33-54.
22. Hymel K.M., Small K.A., Dender K.V. Induced demand and rebound effects in road transport. Transportation Research Part B: Methodological 2010, 44:1220-1241.
23. Jin S.H. The effectiveness of energy efficiency improvement in a developing country: rebound effect of residential electricity use in South Korea. Energy Policy 2007, 35:5622-5629.
24. Johansson O., Schipper L. Measuring long-run automobile fuel demand: Separate estimations of vehicle stock, mean fuel intensity, and mean annual driving distance. Journal of Transport Economics and Policy 1997, 31(3):277-292.
25. Kok R., Benders R.M.J., Moll H.C. Measuring the environmental load of household consumption using some methods based on input-output energy analysis: a comparison of methods and a discussion of results. Energy Policy 2006, 34(17):2744-2761.
26. Lee L.F. Generalized econometric models with selectivity. Econometrica 1983, 51(2):507-512.
27. Matiaske W., Menges R., Spiess M. Modifying the rebound: it depends! Explaining mobility behavior on the basis of the German socio-economic panel. Energy Policy 2011, 10.1016/j.enpol.2010.11.044.
28. Meyer B. Natural and quasi experiments in economics. The Journal of Business and Economic Statistics 1995, 13(2):151-160.
29. Nesbakken R. Energy consumption for space heating: a discrete-continuous approach. Scandinavian Journal of Economics 2001, 103(1):165-184.
30. Ouyang J.L., Long E., Hokao K. Rebound effect in Chinese household energy efficiency and solution for mitigating it. Energy 2010, 35(2010):5269-5276.
31. Reister D.B., Edmonds J.A. Energy demand models based on the translog and CES functions. Energy 1981, 6(9):917-926.
32. Roy J. The rebound effect: some empirical evidence from India. Energy Policy 2000, 28(6-7):433-438.
33. Schwarz P.M., Taylor T.N. Cold hands, warm hearth: climate, net takeback, and household comfort. Energy Journal 1995, 16(1):41-54.
34. Schipper L., Grubb M. On the rebound? feedback between energy intensities and energy uses in IEA countries. Energy Policy 2000, 28(6-7):367-388.
35. Small K.A., Van Dender K. Fuel efficiency and motor vehicle travel: the declining rebound effect. Energy Journal 2007, 28(1):25-51.
36. Sorrell, S., 2007a. The Rebound Effect: An Assessment of the Evidence for Economy-wide Energy Savings from Improved Energy Efficiency. UK Energy Research Centre, London.
37. Sorrell, S., 2007b. UKERC Review of Evidence for the Rebound Effect Supplementary Note: Graphical Illustrations of Rebound Effects. UK Energy Research Centre, London.
38. Sorrell, S., Dimitropoulos, J., 2007. UKERC Review of Evidence for the Rebound Effect: Technical Report 3: Econometric Studies. UK Energy Research Centre, London.
39. Sorrell S., Dimitropoulos J. The rebound effect: microeconomic definitions, limitations and extensions. Ecological Economics 2008, 65:636-649.
40. Sorrell S., Dimitropoulos J. Empirical estimates of the direct rebound effect: a review. Energy Policy 2009, 37:1356-1371.
41. Wang H., Zhou P., Zhou D.Q. An empirical study of direct rebound effect for passenger transport in urban China. Energy Economics 2012, 34(2):452-460.
42. Wang H., Zhou D.Q., Zhou P., Zha D.L. Direct rebound effect for passenger transport: empirical evidence from Hong Kong. Applied Energy 2012, 92:162-167.
43. West S.E. Distributional effects of alternative vehicle pollution control policies. Journal of Public Economics 2004, 88:735-757.
44. Yu B., Zhang J., Fujiwara A. Representing in-home and out-of-home energy consumption behavior in Beijing. Energy Policy 2011, 39:4168-4177.
45. Zhang J., Timmermans H., Borgers A. A utility-maximizing model of household time use for independent, shared and allocated activities incorporating group decision mechanisms. Transportation Research Record 2002, 1807:1-8.
46. Zhang J., Timmermans H., Borgers A. A model of household task allocation and time use. Transportation Research Part B: Methodological 2005, 39:81-95.