Determinants of public acceptance of tiered electricity price reform in China: Evidence from four urban cities

Applied Energy

Volumn 91, Issue 1, 2012, Pages 235-244

  Wang, Zhaohua ^a   Zhang, Bin ^a   Zhang, Yixiang ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

China; Determinants; Public acceptance; Tiered electricity price

Indexed keywords

COSTS; ELECTRICITY; REGRESSION ANALYSIS; SURVEYS;

CHINA; DETERMINANTS; ECONOMIC FACTORS; ELECTRICITY CONSERVATION; ELECTRICITY PRICES; ENVIRONMENTAL AWARENESS; GENERAL PUBLICS; OPTIMAL LEVEL; PLANNING POLICIES; PUBLIC ACCEPTANCE; QUESTIONNAIRE SURVEYS; REGRESSION MODEL; RESEARCH RESULTS; TIERED ELECTRICITY PRICE; UPPER BOUND; WILLINGNESS TO PAY;

THERMOELECTRIC POWER;

DATA ACQUISITION; ELECTRICITY INDUSTRY; ENERGY CONSERVATION; ENERGY POLICY; HOUSEHOLD ENERGY; INCOME DISTRIBUTION; POLICY APPROACH; POLICY IMPLEMENTATION; POLICY REFORM; PRICE DYNAMICS; PUBLIC ATTITUDE; QUESTIONNAIRE SURVEY; REGRESSION; SOCIOECONOMIC STATUS; URBAN AREA; WILLINGNESS TO PAY;

CHINA;

EID: 80054095757     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.09.002     Document Type: Article

References (43)

1. Zhang Z.Y. To deepen reform, push a development mode change: from extensive to economical. Jing Ji Yan Jiu 2005, 40:4-9. [In Chinese].
2. Murata A., Kondou Y., Hailin M., Zhou W. Electricity demand in the Chinese urban household-sector. Appl Energy 2008, 85(12):1113-1125.
3. Feng D.S., Sovacool B., et al. The barriers to energy efficiency in China: assessing household electricity savings and consumer behavior in Liaoning Province. Energy Policy 2010, 38(2):1202-1209.
4. Liu S.J., Yang J. Research on tiered electricity price. Price: Theory Practice 2010, 3:12-14. [In Chinese].
5. National Development and Reform Commission. Guidance for tiered electricity price reform in household sector (draft of consultation), 2010. [In Chinese]. http://www.ndrc.gov.cn/jtdjyj/qwll/t20101008_374091.htm.
6. Fiorio C.V., Florio M. Would you say that the price you pay for electricity is fair? Consumers' satisfaction and utility reforms in the EU15. Energy Econ 2010, 33(2):178-187.
7. Herter K., McAuliffe P., et al. An exploratory analysis of California residential customer response to critical peak pricing of electricity. Energy 2007, 32(1):25-34.
8. Zhang N.Y. Energy efficiency management, price policy in USA. China Price 2008, 4:43-46.
9. Borenstein S. Equity (and some efficiency) effects of increasing-block electricity pricing, 2008. http://www.econ.as.nyu.edu/docs/IO/8821/Borensteinpaper.pdf.
10. Li C.R., Yu J.M. Experiences of household step tariff in Japan and Korea and revelations to China. Energy Technol Econ 2010, 22(7):56-60. [In Chinese].
11. Reneses J., Gomez T., et al. Electricity tariff design for transition economies: application to the Libyan power system. Energy Econ 2011, 33:33-43.
12. Ito K. How do consumers respond to nonlinear pricing? Evidence from household electricity demand. Berkeley: University of California; 2010.
13. Chen H. Exploration for the implementation of tiered electricity price in household sector. J Petrol Educ Inst Xinjiang 2009, 10(6):274-276. [in Chinese].
14. IEA. Energy prices and taxes. Paris; 2009.
15. Wang D.N. The problems of the proposed tiered electricity price in China and corresponding measures. Price: Theory Practice 2010, 4:42-43. [In Chinese].
16. Zhang L.Z., Huang H.T., Gui S.R. Research on methodology of design of household tiered electricity price in China. Price: Theory Practice 2010, 4:44-45. [In Chinese].
17. Zhang L.Z. Discuss in the increasing block rate of household electricity in China. Price: Theory Practice 2010, 2:9-10. [In Chinese].
18. Ajzen I. The theory of planned behavior. Organ Behav Hum Dec Process 1991, 50:179-211.
19. Bonne M, Bonaiuto M. Environmental psychology: from spatial-physical environment to sustainable development. In: Bechtel RG, Churchman A, editors. Handbook of environmental psychology; 2002. p. 28-54.
20. Abrahamse W., Steg L. How do socio-demographic, psychological factors relate to households' direct, indirect energy use, savings?. J Econ Psychol 2009, 30:711-720.
21. Samuelson C.D. Energy conservation: a social dilemma approach. Soc Behav 1990, 5:207-230.
22. Kristina E., Söderholm P. The devil is in the details: household electricity saving behavior and the role of information. Energy Policy 2010, 38:1578-1587.
23. Banfi S., Farsi M. Willingness to pay for energy-saving measures in residential buildings. Energy Econ 2008, 30:503-516.
24. Scarpa R., Willis K. Willingness-to-pay for renewable energy: primary and discretionary choice of British households' for micro-generation technologies. Energy Econ 2010, 32:129-136.
25. Zografakis N., Sifaki E., Pagalou M., Nikitaki G., Psarakis V., Tsagarakis K.P. Assessment of public acceptance and willingness to pay for renewable energy sources in Crete. Renew Sustain Energy Rev 2010, 14(3):1088-1095.
26. Bentler P.M., Speckart G. Models of attitude-behaviour relations. Psychol Rev 1979, 86(5):452-464.
27. Fredericks A.J., Dossett D.L. Attitude-behaviour relations: a comparison of the Fishbein-Ajzen and Bentler-Speckart models. J Person Soc Psychol 1983, 45(3):501-512.
28. Macey S.M., Brown M.A. Residential energy conservation: the role of past experience in repetitive household behaviour. Environ Behav 1983, 15(2):123-141.
29. Tsagarakis K., Bounialetou F., et al. Tourists' attitudes for selecting accommodation with investments in renewable energy and energy saving systems. Renew Sustain Energy Rev 2011, 15(2):1335-1342.
30. Cameron T.A. A nested logit model for energy conservation activity by owners of existing single family dwellings. Rev Econ Stat 1985, 67(2):205-211.
31. Brandon G., Lewis A. Reducing household energy consumption: a qualitative and quantitative field study. J Environ Psychol 1999, 19(1):75-85.
32. Nnorom I., Ohakwe J., et al. Survey of willingness of residents to participate in electronic waste recycling in Nigeria - a case study of mobile phone recycling. J Cleaner Prod 2009, 17(18):1629-1637.
33. Zhu Q, Geng Y. Drivers and barriers of extended supply chain practices for energy saving and emission reduction among Chinese manufacturers. J Cleaner Prod., in press [Corrected Proof, 08.11.10].
34. Thogersen J., Gronhoj A. Electricity saving in households: a social cognitive approach. Energy Policy 2010, 38:7732-7743.
35. Supan B. On the compatibility of nested logit models with utility maximization. J Econ 1990, 43(3):373-388.
36. Mason C., Perreault W.D. Collinearity, power, and interpretation of multiple regression analysis. J Market Res 1991, 28(3):268-280.
37. Sardianou E. Estimating energy conservation patterns of Greek households. Energy Policy 2007, 25:3778-3791.
38. Lindenberg S., Steg L. Normative, gain and hedonic goal frames guiding environmental behavior. J Soc Issues 2007, 63:117-137.
39. Viklund M. Energy policy options - from the perspective of public attitudes and risk perceptions. Energy policy 2004, 32:1159-1171.
40. Ito K. Do consumers respond to marginal or average price? Evidence from nonlinear electricity pricing, 2010. http://ei.haas.berkeley.edu/pdf/working_papers/WP210.pdf.
41. The profit of national grid company growled 1828%, while the power plant deficited a lot. [In Chinese]. http://www.china.com.cn/economic/txt/2011-05/23/content_22618034.htm.
42. Schoengold K, Zilberman D. The economics of tiered pricing and cost functions: are equity, cost recovery, and economic efficiency compatible goals? 2010. http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1098&context=ageconfacpub.
43. 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.