Factors influencing energy-saving behavior of urban households in jiangsu province

Energy Policy

Volumn 62, Issue , 2013, Pages 665-675

  Yue, Ting ^a   Long, Ruyin ^a   Chen, Hong ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Energy saving behavior; Statistical analysis; Urban households

Indexed keywords

CONCEPTUAL FRAMEWORKS; ENERGY-EFFICIENT PRODUCTS; ENERGY-SAVING BEHAVIOR; HOUSEHOLD STRUCTURES; SITUATIONAL FACTORS; SOCIO-DEMOGRAPHIC CHARACTERISTICS; SPATIAL DIFFERENCES; URBAN-HOUSEHOLD;

POPULATION STATISTICS; STATISTICAL METHODS;

ENERGY CONSERVATION;

ELECTRICITY SUPPLY; ENERGY EFFICIENCY; ENERGY POLICY; FUTURE PROSPECT; HOUSEHOLD ENERGY; URBAN AREA;

CHINA; JIANGSU;

EID: 84884989534     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2013.07.051     Document Type: Article

References (58)

1. Abrahamse W., Steg L., Vlek C., Rothengatter T. A review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology 2005, 25(3):273-291.
2. Abrahamse W., Steg L., Vlek C., Rothengatter T. The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents. Journal of Environmental Psychology 2007, 27(4):265-276.
3. Abrahamse W., Steg L. How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings?. Journal of Economic Psychology 2009, 30(5):711-720.
4. Allcott H. Social norms and energy conservation. Journal of Public Economics 2011, 95(9 and 10):1082-1095.
5. Barr S., Gilg A., Ford, N.W. The household energy gap: examining the divide between habitual- and purchase-related conservation behaviours. Energy Policy 2005, 33(11):1425-1444.
6. Bartiaux F. Does environmental information overcome practice compartmentalisation and change consumers' behaviours?. Journal of Cleaner Production 2008, 16(11):1170-1180.
7. Benders R.M.J., Kok R., Moll H.C., Wiersma G., Noorman K.J. New approaches for household energy conservation-in search of personal household energy budgets and energy reduction options. Energy Policy 2006, 34(18):3612-3622.
8. Black J.S., Sterm P., Elworth J.T. Personal and contextual influences on household energy adaptions. Journal of Applied Psychology 1985, 70(1):3-21.
9. Brandon G., Lewis A. Reducing household energy consumption: a qualitative and quantitative field study. Journal of Environmental Psychology 1999, 19:75-85.
10. Jiangsu Statistical Yearbook 2012, Bureau of Statistics of Jiangsu province (BSJS), China Statistics Press, Beijing.
11. Carrico A.R., Riemer M. Motivating energy conservation in the workplace: an evaluation of the use of group-level feedback and peer education. Journal of Environmental Psychology 2011, 31(1):1-13.
12. Chen, S.L., 2009. Study on urban residential energy consumption behavior. Dissertation at the Dalian University of Technology, Faculty of Technology Economy and Management.
13. China Energy Statistical Yearbook 2011, Department of Energy Statistics (DES) of NBSC, China Statistics Press, Beijing.
14. DeWaters J.E., Powers S.E. Energy literacy of secondary students in New York State (USA): a measure of knowledge, affect, and behavior. Energy Policy 2011, 39(3):1699-1710.
15. Dias R.A., Mattos C.R., Balestieri J.A.P. Energy education: breaking up the rational energy use barriers. Energy Policy 2004, 32(11):1339-1347.
16. Dillman D.A., Rosa E.A., Dillman J.J. Lifestyle and home energy conservation in the United States: the poor accept lifestyle cutbacks while the wealthy invest in conservation. Journal of Economic Psychology 1983, 3(3 and 4):299-315.
17. Druckman A., Jackson T. Household energy consumption in the UK: a highly geographically and socio-economically disaggregated model. Energy Policy 2008, 36(8):3177-3192.
18. EK K., Söderholm P. The devil is in the details: household electricity saving behavior and the role of information. Energy Policy 2010, 38(3):1578-1587.
19. Feng D.S., Sovacool B.K., Vu K.M. The barriers to energy efficiency in China: assessing household electricity savings and consumer behavior in Liaoning Province. Energy Policy 2010, 38(2):1202-1209.
20. Gadenne D., Sharma B., Kerr D., Smith T. The influence of consumers' environmental beliefs and attitudes on energy saving behaviours. Energy Policy 2011, 39:7684-7694.
21. Gaspar R., Antunes D. Energy efficiency and appliance purchases in Europe: consumer profiles and choice determinants. Energy Policy 2011, 39(11):7335-7346.
22. Gerbing D.W., Hamilton J.G. Viability of exploratory factor analysis as a precursor to confirmatory factor analysis. Structural Equation Modeling: A Multidisciplinary Journal 1996, 3(1):62-72.
23. Goldblatt D.L., Hartmannb C., Dürrenberger G. Combining interviewing and modeling for end-user energy conservation. Energy Policy 2005, 33(2):257-271.
24. Gyberg P., Palm J. Influencing households' energy behaviour-how is this done and on what premises?. Energy Policy 2009, 37(7):2807-2813.
25. Hox J.J. Hierarchical regression models for interviewer and respondent effects. Sociological Methods Research 1994, 22(3):300-318.
26. Kang N.N., Choa S.H., Kim J.T. The energy-saving effects of apartment residents' awareness and behavior. Energy and Buildings 2012, 46:112-122.
27. Lautenschlager G.J., Mendaza J.L. A step-down hierarchical multiple regression analysis for examining hypotheses about test bias in prediction. Applied Psychological Measurement 1986, 10(2):133-139.
28. Martinsson J., Lundqvist L.J., Sundström A. Energy saving in Swedish households. The (relative) importance of environmental attitudes. Energy Policy 2011, 39(9):5182-5191.
29. McCalley L.T., Midden C.J.H. Energy conservation through product-integrated feedback: the roles of goal-setting and social orientation. Journal of Economic Psychology 2002, 23(5):589-603.
30. Mi, L.Y., 2011. Research on urban residents low carbonization energy consumption behavior and policy guidance. Dissertation at the China University of Mining and Technology, School of Management.
31. Mills B., Schleich J. What's driving energy efficient appliance label awareness and purchase propensity?. Energy Policy 2010, 38(2):814-825.
32. China Energy Statistical Yearbook 2012, National Bureau of Statistics of China (NBSC), China Statistics Press, Beijing.
33. Nordlund A.M., Garvill J. Effects of values, problem awareness, and personal norm on willingness to reduce personal car use. Journal of Environmental Psychology 2003, 23(4):339-347.
34. O'Doherty J., Lyons S., Tol R.S.J. Energy-using appliances and energy-saving features: determinants of ownership in Ireland. Applied Energy 2008, 85(7):650-662.
35. Olson M.E. Consumer attitudes towards energy conservation. Journal of Social Issues 1981, 37(2):108-131.
36. Ouyang J., Hokao K. Energy-saving potential by improving occupants' behavior in urban residential sector in Hangzhou City, China. Energy and Buildings 2009, 41(7):711-720.
37. Owens S., Driffill L. How to change attitudes and behaviours in the context of energy. Energy Policy 2008, 36(12):4412-4418.
38. Poortinga W., Steg L., Vlek C., Wiersma G. Household preferences for energy-saving measures: a conjoint analysis. Journal of Economic Psychology 2003, 24(1):49-64.
39. Sardianou E. Estimating energy conservation patterns of Greek households. Energy Policy 2007, 35(7):3778-3791.
40. Shen J., Saijo T. Does an energy efficiency label alter consumers' purchasing decisions? A latent class approach based on a stated choice experiment in Shanghai. Journal of Environmental Management 2009, 90(11):3561-3573.
41. Song M.L., Song Y.Q., An Q.X., Yu H.Y. Review of environmental efficiency and its influencing factors in China: 1998-2009. Renewable and Sustainable Energy Reviews 2013, 20:8-14.
42. Steg L. Promoting household energy conservation. Energy Policy 2008, 36(12):4449-4453.
43. Stern P.C. What psychology knows about energy conservation?. American Psychologist 1992, 47(10):1224-1232.
44. Sun Y., Song J.B., Song D.R. An empirical study on influencing factors of resident's environmental behavior. Chinese Journal of Management 2012, 1(9):144-150.
45. Sütterlin B., Brunner T.A., Siegrist M. Who puts the most energy into energy conservation? A segmentation of energy consumers based on energy-related behavioral characteristics. Energy Policy 2011, 3:8137-8152.
46. Thøgersen J., Grønhøj A. Electricity saving in households-a social cognitive approach. Energy Policy 2010, 38(12):7732-7743.
47. Ueno T., Sano F., Saeki O., Tsuji K. Effectiveness of an energy-consumption information system on energy savings in residential houses based on monitored data. Applied Energy 2006, 83(2):166-183.
48. Ueno T., Sano F., Saeki O., Tsuji K. Effectiveness of an energy-consumption information system for residential buildings. Applied Energy 2006, 83(8):868-883.
49. Van Houwelingen J.H., Van Raaij F.W. The effect of goal-setting and daily electronic feedback on in-home energy use. Journal of Consumer Research 1989, 16:98-105.
50. Van Raaij W.F., Verhallen T.M.M. A behavioral model of residential energy use. Journal of Economic Psychology 1983, 3(1):39-63.
51. Vringer K., Aalbers T., Blok K. Household energy requirement and value patterns. Energy Policy 2007, 35(1):553-566.
52. Wang Z.H., Zhang B., Yin J.H., Zhang Y.X. Determinants and policy implications for household electricity-saving behaviour: evidence from Beijing, China. Energy Policy 2011, 39(6):3550-3557.
53. Wang Z.H., Zhang B., Yin J.H., Zhang Y.X. Determinants of public acceptance of tiered electricity price reform in China: evidence from four urban cities. Applied Energy 2012, 91(1):235-244.
54. Wang Z.H., Zeng H.L., Wei Y.M., Zhang Y.X. Regional total factor energy efficiency: an empirical analysis of industrial sector in China. Applied Energy 2012, 97:115-123.
55. Weenig M.W.H., Schmidt T., Midden C.J.H. Social dimensions of neighborhoods and the effectiveness of information programs. Environment and Behavior 1990, 22:27-54.
56. Winett R.A., Leckliter I.N., Chinn D.E., Stahl B., Love S.Q. Effects of television modeling on residential energy conservation. Journal of Applied Behavior Analysis 1985, 18(1):33-44.
57. 2 emissions reduction path in Jiangsu province: an expanded IPAT approach. Applied Energy. 2013, 10.1016/j.apenergy2013.02.046.
58. Yue T., Long R.Y. Research on affecting factors model of urban residents' energy-saving behavior of Jiangsu Province-based on grounded theory. Journal of Beijing Institute of Technology (Social Sciences Edition) 2013, 15(1):34-39.