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2022 | OriginalPaper | Chapter

A Scenario Based Analysis of Incentive Schemes to Promote the Social Acceptance of Smart Energy Home in China

Authors : Weiyu Ji, Edwin H. W. Chan

Published in: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Publisher: Springer Nature Singapore

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Abstract

Smart home energy technology (SHET) is an important category of smart home, a crucial component of smart city. Currently, the adoption rate of SHET in China is still at low level and there is also a deficiency of incentive policies for SHET promotion. With the objective to bridge the policy gap, so as to promote the social acceptance of smart home energy technology by urban residents of China, thereby building a smart living environment with energy efficiency, comfort, and convenience, this study has proposed two incentive schemes, including Price Subsidy and Time of Use pricing plan. By way of contingent valuation method and ordinal regression, respondent’s willingness to pay for SHET under each incentive scheme has been estimated and the influential factors of WTP also have been investigated. After the comparison between the scenarios of incentive scheme and business as usual, this study revealed that all the two schemes were effective, and the scheme of price subsidy appeared to be the strongest. The different incentive schemes would be influenced by various factors significantly, including the demographic, property ownership and the behavioral related.

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Literature
1.
go back to reference Shen, L., et al.: A holistic evaluation of smart city performance in the context of China. J. Clean. Prod. 200, 667–679 (2018)CrossRef Shen, L., et al.: A holistic evaluation of smart city performance in the context of China. J. Clean. Prod. 200, 667–679 (2018)CrossRef
2.
go back to reference Balta-Ozkan, N., et al.: The development of smart homes market in the UK. Energy 60(Supplement C), 361–372 (2013) Balta-Ozkan, N., et al.: The development of smart homes market in the UK. Energy 60(Supplement C), 361–372 (2013)
3.
go back to reference Wilson, C., Hargreaves, T., Hauxwell-Baldwin, R.: Benefits and risks of smart home technologies. Energy Policy 103, 72–83 (2017)CrossRef Wilson, C., Hargreaves, T., Hauxwell-Baldwin, R.: Benefits and risks of smart home technologies. Energy Policy 103, 72–83 (2017)CrossRef
4.
go back to reference Zhou, B., et al.: Smart home energy management systems: concept, configurations, and scheduling strategies. Renew. Sustain. Energy Rev. 61, 30–40 (2016)CrossRef Zhou, B., et al.: Smart home energy management systems: concept, configurations, and scheduling strategies. Renew. Sustain. Energy Rev. 61, 30–40 (2016)CrossRef
5.
go back to reference Sanguinetti, A., Karlin, B., Ford, R.: Understanding the path to smart home adoption: segmenting and describing consumers across the innovation-decision process. Energy Res. Soc. Sci. 46, 274–283 (2018)CrossRef Sanguinetti, A., Karlin, B., Ford, R.: Understanding the path to smart home adoption: segmenting and describing consumers across the innovation-decision process. Energy Res. Soc. Sci. 46, 274–283 (2018)CrossRef
6.
go back to reference Ford, R., et al.: Categories and functionality of smart home technology for energy management. Build. Environ. 123, 543–554 (2017)CrossRef Ford, R., et al.: Categories and functionality of smart home technology for energy management. Build. Environ. 123, 543–554 (2017)CrossRef
7.
go back to reference Karlin, B., et al.: Characterization and Potential of Home Energy Management (HEM) Technology. Pacific Gas and Electric, San Francisco (2015) Karlin, B., et al.: Characterization and Potential of Home Energy Management (HEM) Technology. Pacific Gas and Electric, San Francisco (2015)
8.
go back to reference Balta-Ozkan, N., Boteler, B., Amerighi, O.: European smart home market development: public views on technical and economic aspects across the United Kingdom, Germany and Italy. Energy Res. Soc. Sci. 3, 65–77 (2014)CrossRef Balta-Ozkan, N., Boteler, B., Amerighi, O.: European smart home market development: public views on technical and economic aspects across the United Kingdom, Germany and Italy. Energy Res. Soc. Sci. 3, 65–77 (2014)CrossRef
9.
go back to reference Sar, H.: Hong Kong Smart City Blueprint, H.S. Innovation and Technology Bureau, Editor. Hong Kong (2017) Sar, H.: Hong Kong Smart City Blueprint, H.S. Innovation and Technology Bureau, Editor. Hong Kong (2017)
10.
go back to reference Mundaca, L., et al.: Evaluating energy efficiency policies with energy-economy models. Annu. Rev. Environ. Resour. 35(1), 305–344 (2010)CrossRef Mundaca, L., et al.: Evaluating energy efficiency policies with energy-economy models. Annu. Rev. Environ. Resour. 35(1), 305–344 (2010)CrossRef
11.
go back to reference Zeng, L., Yu, Y., Li, J.: China’s promoting energy-efficient products for the benefit of the people program in 2012: results and analysis of the consumer impact study. Appl. Energy 133, 22–32 (2014)CrossRef Zeng, L., Yu, Y., Li, J.: China’s promoting energy-efficient products for the benefit of the people program in 2012: results and analysis of the consumer impact study. Appl. Energy 133, 22–32 (2014)CrossRef
12.
go back to reference Jiayang Li, L.Z., Tan Zheng, H.B.: Market analysis of China energy efficient products. In: ECEEE 2013 Summer Study on Energy Efficiency: Rethink, Renew, Restart. 2013. ECEEE, Belambra Les Criques, Toulon/Hyères (2013) Jiayang Li, L.Z., Tan Zheng, H.B.: Market analysis of China energy efficient products. In: ECEEE 2013 Summer Study on Energy Efficiency: Rethink, Renew, Restart. 2013. ECEEE, Belambra Les Criques, Toulon/Hyères (2013)
13.
go back to reference Gellings, C.W.: The concept of demand-side management for electric utilities. Proc. IEEE 73(10), 1468–1470 (1985)CrossRef Gellings, C.W.: The concept of demand-side management for electric utilities. Proc. IEEE 73(10), 1468–1470 (1985)CrossRef
14.
go back to reference Torriti, J., Hassan, M.G., Leach, M.: Demand response experience in Europe: policies, programmes and implementation. Energy 35(4), 1575–1583 (2010)CrossRef Torriti, J., Hassan, M.G., Leach, M.: Demand response experience in Europe: policies, programmes and implementation. Energy 35(4), 1575–1583 (2010)CrossRef
15.
go back to reference Wang, Y., Li, L.: Time-of-use electricity pricing for industrial customers: a survey of US utilities. Appl. Energy 149, 89–103 (2015)CrossRef Wang, Y., Li, L.: Time-of-use electricity pricing for industrial customers: a survey of US utilities. Appl. Energy 149, 89–103 (2015)CrossRef
16.
go back to reference Yang, P., Tang, G., Nehorai, A.: A game-theoretic approach for optimal time-of-use electricity pricing. IEEE Trans. Power Syst. 28(2), 884–892 (2013)CrossRef Yang, P., Tang, G., Nehorai, A.: A game-theoretic approach for optimal time-of-use electricity pricing. IEEE Trans. Power Syst. 28(2), 884–892 (2013)CrossRef
17.
go back to reference Gottwalt, S., et al.: Demand side management—a simulation of household behavior under variable prices. Energy Policy 39(12), 8163–8174 (2011)CrossRef Gottwalt, S., et al.: Demand side management—a simulation of household behavior under variable prices. Energy Policy 39(12), 8163–8174 (2011)CrossRef
18.
go back to reference Herter, K., McAuliffe, P., Rosenfeld, A.: An exploratory analysis of California residential customer response to critical peak pricing of electricity. Energy 32(1), 25–34 (2007)CrossRef Herter, K., McAuliffe, P., Rosenfeld, A.: An exploratory analysis of California residential customer response to critical peak pricing of electricity. Energy 32(1), 25–34 (2007)CrossRef
19.
go back to reference Hesselink, L.X.W., Chappin, E.J.L.: Adoption of energy efficient technologies by households – barriers, policies and agent-based modelling studies. Renew. Sustain. Energy Rev. 99, 29–41 (2019)CrossRef Hesselink, L.X.W., Chappin, E.J.L.: Adoption of energy efficient technologies by households – barriers, policies and agent-based modelling studies. Renew. Sustain. Energy Rev. 99, 29–41 (2019)CrossRef
20.
go back to reference Balta-Ozkan, N., et al.: Social barriers to the adoption of smart homes. Energy Policy 63(Supplement C), 363–374 (2013) Balta-Ozkan, N., et al.: Social barriers to the adoption of smart homes. Energy Policy 63(Supplement C), 363–374 (2013)
21.
go back to reference Mert, W., Tritthart, W.: Get smart! consumer acceptance and restrictions of smart domestic appliances in sustainable energy systems (2012) Mert, W., Tritthart, W.: Get smart! consumer acceptance and restrictions of smart domestic appliances in sustainable energy systems (2012)
23.
go back to reference Luzar, E.J., Cosse, K.J.: Willingness to pay or intention to pay: the attitude-behavior relationship in contingent valuation. J. Socio-Econ. 27(3), 427–444 (1998)CrossRef Luzar, E.J., Cosse, K.J.: Willingness to pay or intention to pay: the attitude-behavior relationship in contingent valuation. J. Socio-Econ. 27(3), 427–444 (1998)CrossRef
24.
go back to reference Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)CrossRef Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)CrossRef
25.
go back to reference Ali, S., et al.: Determinants of consumer intentions to purchase energy-saving household products in Pakistan. Sustainability 11(5), 1462 (2019)CrossRef Ali, S., et al.: Determinants of consumer intentions to purchase energy-saving household products in Pakistan. Sustainability 11(5), 1462 (2019)CrossRef
26.
go back to reference Judge, M., Warren-Myers, G., Paladino, A.: Using the theory of planned behaviour to predict intentions to purchase sustainable housing. J. Clean. Prod. 215, 259–267 (2019)CrossRef Judge, M., Warren-Myers, G., Paladino, A.: Using the theory of planned behaviour to predict intentions to purchase sustainable housing. J. Clean. Prod. 215, 259–267 (2019)CrossRef
27.
go back to reference Tan, T.H.: Use of structural equation modeling to predict the intention to purchase green and sustainable homes in Malaysia. Asian Soc. Sci. 9(10), 181 (2013)CrossRef Tan, T.H.: Use of structural equation modeling to predict the intention to purchase green and sustainable homes in Malaysia. Asian Soc. Sci. 9(10), 181 (2013)CrossRef
28.
go back to reference Taufique, K.M.R., Vaithianathan, S.: A fresh look at understanding Green consumer behavior among young urban Indian consumers through the lens of Theory of Planned Behavior. J. Clean. Prod. 183, 46–55 (2018)CrossRef Taufique, K.M.R., Vaithianathan, S.: A fresh look at understanding Green consumer behavior among young urban Indian consumers through the lens of Theory of Planned Behavior. J. Clean. Prod. 183, 46–55 (2018)CrossRef
29.
go back to reference Ji, W., Chan, E.H.W.: Between users, functions, and evaluations: exploring the social acceptance of smart energy homes in China. Energy Res. Soc. Sci. 69, 101637 (2020)CrossRef Ji, W., Chan, E.H.W.: Between users, functions, and evaluations: exploring the social acceptance of smart energy homes in China. Energy Res. Soc. Sci. 69, 101637 (2020)CrossRef
30.
go back to reference Zhao, L., Yang, Z., Lee, W.: The impact of time-of-use (TOU) rate structure on consumption patterns of the residential customers. IEEE Trans. Ind. Appl. 53(6), 5130–5138 (2017)CrossRef Zhao, L., Yang, Z., Lee, W.: The impact of time-of-use (TOU) rate structure on consumption patterns of the residential customers. IEEE Trans. Ind. Appl. 53(6), 5130–5138 (2017)CrossRef
31.
go back to reference Washizu, A., et al.: Willingness to pay for home energy management systems: a survey in New York and Tokyo. Sustainability 11(17), 4790 (2019) Washizu, A., et al.: Willingness to pay for home energy management systems: a survey in New York and Tokyo. Sustainability 11(17), 4790 (2019)
32.
go back to reference Hanemann, W.M.: Valuing the environment through contingent valuation. J. Econ. Perspect. 8(4), 19–43 (1994)CrossRef Hanemann, W.M.: Valuing the environment through contingent valuation. J. Econ. Perspect. 8(4), 19–43 (1994)CrossRef
33.
go back to reference Yang, W., Lam, P.T.I.: Non-market valuation of consumer benefits towards the assessment of energy efficiency gap. Energy Build. 184, 264–274 (2019)CrossRef Yang, W., Lam, P.T.I.: Non-market valuation of consumer benefits towards the assessment of energy efficiency gap. Energy Build. 184, 264–274 (2019)CrossRef
34.
go back to reference Gerpott, T.J., Paukert, M.: Determinants of willingness to pay for smart meters: an empirical analysis of household customers in Germany. Energy Policy 61, 483–495 (2013)CrossRef Gerpott, T.J., Paukert, M.: Determinants of willingness to pay for smart meters: an empirical analysis of household customers in Germany. Energy Policy 61, 483–495 (2013)CrossRef
35.
go back to reference Rihar, M., Hrovatin, N., Zoric, J.: Household valuation of smart-home functionalities in Slovenia. Utilit. Policy 33, 42–53 (2015)CrossRef Rihar, M., Hrovatin, N., Zoric, J.: Household valuation of smart-home functionalities in Slovenia. Utilit. Policy 33, 42–53 (2015)CrossRef
36.
go back to reference Bateman, I.J., et al.: Economic Valuation with Stated Preference Techniques: A Manual. xx + 458 pp. Edward Elgar Publishing Ltd., Cheltenham (2002) Bateman, I.J., et al.: Economic Valuation with Stated Preference Techniques: A Manual. xx + 458 pp. Edward Elgar Publishing Ltd., Cheltenham (2002)
37.
go back to reference Shields, T., Zeng, K.: The reverse environmental gender gap in China: evidence from “The China Survey.” Soc. Sci. Q. 93(1), 1–20 (2012)CrossRef Shields, T., Zeng, K.: The reverse environmental gender gap in China: evidence from “The China Survey.” Soc. Sci. Q. 93(1), 1–20 (2012)CrossRef
38.
go back to reference Mills, B., Schleich, J.: Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: an analysis of European countries. Energy Policy 49, 616–628 (2012)CrossRef Mills, B., Schleich, J.: Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: an analysis of European countries. Energy Policy 49, 616–628 (2012)CrossRef
39.
go back to reference Kalish, S., Lilien, G.L.: Optimal price subsidy policy for accelerating the diffusion of innovation. Mark. Sci. 2(4), 407–420 (1983)CrossRef Kalish, S., Lilien, G.L.: Optimal price subsidy policy for accelerating the diffusion of innovation. Mark. Sci. 2(4), 407–420 (1983)CrossRef
Metadata
Title
A Scenario Based Analysis of Incentive Schemes to Promote the Social Acceptance of Smart Energy Home in China
Authors
Weiyu Ji
Edwin H. W. Chan
Copyright Year
2022
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-5256-2_45