The influence of information on residents’ green housing purchasing behavior: different information contents and providers
Abstract
To promote consumers to buy green housing, the paper tries to find the effect of information on consumers’ green housing purchasing behavior. It classifies the contents and providers of information and explores their different influences. The results show that: 1) Consumers’ age and environmental protection attitude have a significant impact on their purchasing behavior, while consumers’ gender and monthly income have no significant impact; 2) Consumers are more affected by information relating to the economy and indoor air quality. The detailed order of influence is as follows: information on loan at concessionary rates > cost saving in usage phase > indoor air quality > waste classification > investment benefit > carbon emission reduction > thermal comfort > acoustic environment > greening rate > luminous environment; 3) Consumers with higher environmental awareness care more about the information on living environment and carbon emission. Whereas, those with low awareness of environmental protection are more affected by information on economic benefits. 4) Regarding different information providers, the consumers are mostly impacted by the government, while the information from developers could induce limited effects. It could guide the government and developers to provide appropriate information to promote GH purchasing behavior.
Keyword : information, green housing, purchasing behavior, ordinal logistic regression
How to Cite
He, C., Liu, X., Bi, J., Wang, X., & Li, J. (2023). The influence of information on residents’ green housing purchasing behavior: different information contents and providers. Journal of Civil Engineering and Management, 29(6), 530–541. https://doi.org/10.3846/jcem.2023.19518
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Dell’Anna, F., & Bottero, M. (2021). Green premium in buildings: Evidence from the real estate market of Singapore. Journal of Cleaner Production, 286, 125327. https://doi.org/10.1016/j.jclepro.2020.125327
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Durdyev, S., & Ihtiyar, A. (2020). Attitudes of Cambodian homebuyers towards the factors influencing their intention to purchase green building. In Z. Gou (Ed.), Green building in developing countries: Policy, strategy and technology (pp. 147–160). Springer International Publishing. https://doi.org/10.1007/978-3-030-24650-1_8
Durdyev, S., & Tokbolat, S. (2022). A quantified model for assessment of drivers of acquiring green buildings by potential clients. Environment, Development and Sustainability, 24, 3815–3831. https://doi.org/10.1007/s10668-021-01589-5
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Feng, Q., Wang, Y., Chen, C. H., Dong, Z. N., & Shi, X. J. (2021). Effect of homebuyer comment on green housing purchase intention-mediation role of psychological distance. Frontiers in Psychology, 12, 568451. https://doi.org/10.3389/fpsyg.2021.568451
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Golbazi, M., El Danaf, A., & Aktas, C. B. (2020). Willingness to pay for green buildings: A survey on students’ perception in higher education. Energy and Buildings, 216, 109956. https://doi.org/10.1016/j.enbuild.2020.109956
He, C. C., Wang, X. M., & Zhao, G. C. (2018). Developer’s willingness to construct green dwellings in China: factors and stimulating policies. Journal of Civil Engineering and Management, 24(5), 378–389. https://doi.org/10.3846/jcem.2018.5185
He, C. C., Yu, S. W., Han, Q., & de Vries, B. (2019). How to attract customers to buy green housing? Their heterogeneous willingness to pay for different attributes. Journal of Cleaner Production, 230, 709–719. https://doi.org/10.1016/j.jclepro.2019.05.160
Huo, T. F., Ma, Y. L., Cai, W. G., Liu, B. S., & Mu, L. L. (2021). Will the urbanization process influence the peak of carbon emissions in the building sector? A dynamic scenario simulation. Energy and Buildings, 232, 110590. https://doi.org/10.1016/j.enbuild.2020.110590
Jia, J. J., Wu, H. Q., Nie, H. G., & Fan, Y. (2019). Modeling the willingness to pay for energy efficient residence in urban residential sector in China. Energy Policy, 135, 111003. https://doi.org/10.1016/j.enpol.2019.111003
Jiao, J. L., Chen, C. X., & Bai, Y. (2020). Is green technology vertical spillovers more significant in mitigating carbon intensity? Evidence from Chinese industries. Journal of Cleaner Production, 257, 120354. https://doi.org/10.1016/j.jclepro.2020.120354
Kikuchi-Uehara, E., Nakatani, J., & Hirao, M. (2016). Analysis of factors influencing consumers’ proenvironmental behavior based on life cycle thinking. Part II: trust model of environmental information. Journal of Cleaner Production, 125, 216–226. https://doi.org/10.1016/j.jclepro.2016.03.011
Kirby, R., Inacio, L. D., & Delai, I. (2023). Factors affecting green building consumer behaviour: Evidence from Brazil. International Journal of Sustainable Development and World Ecology, 30(2), 164–178. https://doi.org/10.1080/13504509.2022.2127033
Kumah, V. M. A., Agyekum, K., Botchway, E. A., Pittri, H., & Danso, F. O. (2022). Examining built environment professionals’ willingness to pay for green buildings in Ghana. Buildings, 12(12), 2097. https://doi.org/10.3390/buildings12122097
Li, Y. A., Yang, L., He, B. J., & Zhao, D. D. (2014). Green building in China: Needs great promotion. Sustainable Cities and Society, 11, 1–6. https://doi.org/10.1016/j.scs.2013.10.002
Li, Q. W., Long, R. Y., & Chen, H. (2018). Differences and influencing factors for Chinese urban resident willingness to pay for green housings: Evidence from five first-tier cities in China. Applied Energy, 229, 299–313. https://doi.org/10.1016/j.apenergy.2018.07.118
Liu, Y., Guo, X., & Hu, F. (2014). Cost-benefit analysis on green building energy efficiency technology application: A case in China. Energy and Buildings, 82, 37–46. https://doi.org/10.1016/j.enbuild.2014.07.008
Liu, H. M., Fang, C. L., Zhang, X. L., Wang, Z. Y., Bao, C., & Li, F. Z. (2017). The effect of natural and anthropogenic factors on haze pollution in Chinese cities: A spatial econometrics approach. Journal of Cleaner Production, 165, 323–333. https://doi.org/10.1016/j.jclepro.2017.07.127
Luo, W., Kanzaki, M., & Matsushita, K. (2017). Promoting green buildings: Do Chinese consumers care about green building enhancements?. International Journal of Consumer Studies, 41(5), 545–557. https://doi.org/10.1111/ijcs.12364
MacAskill, S., Sahin, O., Stewart, R. A., Roca, E., & Liu, B. (2021). Examining green affordable housing policy outcomes in Australia: A systems approach. Journal of Cleaner Production, 293, 126212. https://doi.org/10.1016/j.jclepro.2021.126212
MacNaughton, P., Cao, X., Buonocore, J., Cedeno-Laurent, J., Spengler, J., Bernstein, A., & Allen, J. (2018). Energy savings, emission reductions, and health co-benefits of the green building movement. Journal of Exposure Science and Environmental Epidemiology, 28(4), 307–318. https://doi.org/10.1038/s41370-017-0014-9
MacNaughton, P., Spengler, J., Vallarino, J., Santanam, S., Satish, U., & Allen, J. (2016). Environmental perceptions and health before and after relocation to a green building. Building and Environment, 104, 138–144. https://doi.org/10.1016/j.buildenv.2016.05.011
Mao, Y., Gong, X., & Ye, Y. (2018). Carbon emission-based measurement of floor area ratio bonus for residential green buildings in China. Journal of Green Building, 13(2), 84–97. https://doi.org/10.3992/1943-4618.13.2.84
Mason, C. F. (2013). The economics of eco-labeling: Theory and empirical implications. International Review of Environmental and Resource Economics, 6(4), 341–372. https://doi.org/10.1561/101.00000054
Matisoff, D. C., Noonan, D. S., & Flowers, M. E. (2016). Green buildings: Economics and policies. Review of Environmental Economics and Policy, 10(2), 329–346. https://doi.org/10.1093/reep/rew009
Mishal, A., Dubey, R., Gupta, O. K., & Luo, Z. W. (2017). Dynamics of environmental consciousness and green purchase behaviour: An empirical study. International Journal of Climate Change Strategies and Management, 9(5), 682–706. https://doi.org/10.1108/ijccsm-11-2016-0168
Ofek, S., & Portnov, B. A. (2020). Differential effect of knowledge on stakeholders’ willingness to pay green building price premium: Implications for cleaner production. Journal of Cleaner Production, 251, 119575. https://doi.org/10.1016/j.jclepro.2019.119575
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