Green buildings help to mitigate the impacts of construction on the environment by reducing the use of natural resources and limiting the emission of air pollutants associated with building construction and maintenance. Homebuyers who understand the life-cycle benefits of green buildings (such as lower operating costs, better indoor environment and reduced environmental impacts) are often willing to pay an additional price premium for such buildings. Although several studies examined the factors affecting the acceptable size of green building price premium, how the expected time to home purchase might affect the acceptable size of such premium remains unexplored. Here, we attempt to answer this question by using data from a countrywide survey carried out in Israel, in which responses from 390 potential homebuyers were collected and analyzed. We find that the willingness to pay a price premium for green buildings changes significantly with time to purchase and is the lowest for respondents who state that they do not plan to buy a home anytime in the near future. We explain this rather unexpected result by arguing that people who have no immediate home buying intention, might have only limited knowledge about contemporary housing market trends and thus do not consider green building as a viable alternative to traditional construction.
Published in | American Journal of Civil Engineering (Volume 10, Issue 2) |
DOI | 10.11648/j.ajce.20221002.14 |
Page(s) | 55-63 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Green Buildings, Price Premium, Time-to-Purchase, Israel, Survey
[1] | Zhang, X. (2015). Green real estate development in China: State of art and prospect agenda—A review. Renewable and Sustainable Energy Reviews, 47, 1-13. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.rser.2015.03.012 |
[2] | Hunt, N., & Dorfman, B. (2009). How green is my wallet? Organic food growth slows. Reuters. Retrieved January 14, 2014. |
[3] | Ofek, S., Akron, S., & Portnov, B. A. (2018). Stimulating green construction by influencing the decision-making of main players. Sustainable cities and society, 40, 165-173. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.scs.2018.04.005 |
[4] | Nord, N., & Sjøthun, S. F. (2014). Success factors of energy efficiency measures in buildings in Norway. Energy and Buildings, 76, 476-487.https://doi-org.ezproxy.haifa.ac.il/10.1016/j.enbuild.2014.03.010 |
[5] | Morri, G., & Soffietti, F. (2013). Green building sustainability and market premiums in Italy. Journal of European Real Estate Research. https://doi-org.ezproxy.haifa.ac.il/10.1108/JERER-06-2013-0011 |
[6] | Portnov, B. A., Trop, T., Svechkina, A., Ofek, S., Akron, S., & Ghermandi, A. (2018). Factors affecting homebuyers' willingness to pay green building price premium: Evidence from a nationwide survey in Israel. Building and Environment, 137, 280-291. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.buildenv.2018.04.014 |
[7] | Aditya, L., Mahlia, T. M. I., Rismanchi, B., Ng, H. M., Hasan, M. H., Metselaar, H. S. C., and Aditiya, H. B. (2017). A review on insulation materials for energy conservation in buildings. Renewable and sustainable energy reviews, 73, 1352-1365. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.rser.2017.02.034 |
[8] | Gan, C., Wee, H. Y., Ozanne, L., & Kao, T. (2008). Consumers’ purchasing behavior towards green products in New Zealand. Innovative Marketing, 4 (1), 93-102. |
[9] | Friedman, C., Becker, N., & Erell, E. (2018). Retrofitting residential building envelopes for energy efficiency: motivations of individual homeowners in Israel. Journal of Environmental Planning and Management, 61 (10), 1805-1827. https://doi-org.ezproxy.haifa.ac.il/10.1080/09640568.2017.1372278 |
[10] | Gabay, H., Meir, I., Schwartz, M., Werzberger, E., (2014). Cost-benefit analysis of green buildings: An Israeli office buildings case study-energy and buildings. Energy and Buildings, 76 (6), 558–564. https://doi.org/10.1016/j.enbuild.2014.02.027 |
[11] | Kim, J. L., Greene, M., & Kim, S. (2014). Cost comparative analysis of a new green building code for residential project development. Journal of construction engineering and management, 140 (5), 05014002. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000833 |
[12] | Fisk, W. J., Black, D., Brunner, G., (2011). Benefits and costs of improved IEQ in US offices. Indoor Air, 21, 357–367. https://doi.org/10.1111/j.1600-0668.2011.00719.x |
[13] | Eichholtz, P., Kok, N., Quigley, J. M., (2013). The economics of green building. Review of Economics and Statistics, 95, 50–63. https://doi.org/10.1162/REST_a_00291 |
[14] | Judge, M., Warren-Myers, G. Paladino, A., 2019. Using the theory of planned behavior to predict intentions to purchase sustainable housing. Journal of cleaner production, (215), 259-267. https://doi.org/10.1016/j.jclepro.2019.01.029 |
[15] | Caruana, R. (2007). A sociological perspective of consumption morality. Journal of Consumer Behaviour: An International Research Review, 6 (5), 287-304. https://doi-org.ezproxy.haifa.ac.il/10.1002/cb.222 |
[16] | Zhang, Y., Yuan, J., Li, L., & Cheng, H. (2019). Proposing a Value Field Model for Predicting Homebuyers’ Purchasing Behavior of Green Residential Buildings: A Case Study in China. Sustainability, 11 (23), 6877. https://doi.org/10.3390/su11236877 |
[17] | Yau, Y. (2012). Eco-labels and willingness-to-pay: a Hong Kong study. Smart and Sustainable Built Environment, 1 (3), 277-290. https://doi.org/10.1108/20466091211287146 |
[18] | Ajzen, I., Brown, T. C., & Carvajal, F. (2004). Explaining the discrepancy between intentions and actions: The case of hypothetical bias in contingent valuation. Personality and social psychology bulletin, 30 (9), 1108-1121. https://doi-org.ezproxy.haifa.ac.il/10.1177%2F0146167204264079 |
[19] | Randall, D. M. and Wolff, J. A., (1994). The time interval in the intention-behaviour relationship: Meta-analysis. British Journal of Social Psychology, 33 (4), 405-418. https://doi-org.ezproxy.haifa.ac.il/10.1111/j.2044-8309.1994.tb01037.x |
[20] | Kumar, B. (2012). Theory of planned behaviour approach to understand the purchasing behaviour for environmentally sustainable products. http://hdl.handle.net/11718/11429 |
[21] | Lin, P. C., & Huang, Y. H. (2012). The influence factors on choice behavior regarding green products based on the theory of consumption values. Journal of Cleaner Production, 22 (1), 11-18. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.jclepro.2011.10.002 |
[22] | Ritter, Á. M., Borchardt, M., Vaccaro, G. L., Pereira, G. M., & Almeida, F. (2015). Motivations for promoting the consumption of green products in an emerging country: exploring attitudes of Brazilian consumers. Journal of Cleaner Production, 106, 507-520. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.jclepro.2014.11.066 |
[23] | Lorek, S., & Fuchs, D. (2013). Strong sustainable consumption governance–precondition for a degrowth path? Journal of cleaner production, 38, 36-43. https://doi-org.ezproxy.haifa.ac.il/10.1016/ j. jclepro.2011.08.008 |
[24] | Gracia, A., Magistris, T., (2007). Organic food product purchase behaviour: a pilot study for urban consumers in the south of Italy. Span. J. Agric. Res. 5 (4), 439–451. |
[25] | Biswas, A., & Roy, M. (2015). Leveraging factors for sustained green consumption behavior based on consumption value perceptions: testing the structural model. Journal of Cleaner production, 95, 332-340. |
[26] | Wu, S. I., & Chen, J. Y. (2014). A model of green consumption behavior constructed by the theory of planned behavior. International Journal of Marketing Studies, 6 (5), 119. http://dx.doi.org/10.5539/ijms.v6n5p119 |
[27] | Mostafa, M. M. (2006). Antecedents of Egyptian consumers' green purchase intentions: A hierarchical multivariate regression model. Journal of International Consumer Marketing, 19 (2), 97-126. https://doi-org.ezproxy.haifa.ac.il/10.1300/J046v19n02_06 |
[28] | Sihombing, S. O. (2006). Predicting environmentally purchase behavior: A test of the value-attitude-behavior hierarchy. Jurnal Bisnis dan Ekonomi, 13 (2). |
[29] | Kim, Y., & Han, H. (2010). Intention to pay conventional-hotel prices at a green hotel–a modification of the theory of planned behavior. Journal of Sustainable Tourism, 18 (8), 997-1014. |
[30] | De Cannière, M. H., De Pelsmacker, P., & Geuens, M. (2009). Relationship quality and the theory of planned behavior models of behavioral intentions and purchase behavior. Journal of business research, 62 (1), 82-92. |
[31] | Steg, L., Perlaviciute, G., Van der Werff, E., & Lurvink, J. (2014). The significance of hedonic values for environmentally relevant attitudes, preferences, and actions. Environment and behavior, 46 (2), 163-192. |
[32] | Vermeir, I., & Verbeke, W. (2008). Sustainable food consumption among young adults in Belgium: Theory of planned behaviour and the role of confidence and values. Ecological economics, 64 (3), 542-553. https://doi-org.ezproxy.haifa.ac.il/10.1016/j.buildenv.2018.04.014 |
[33] | Mandel, S., Wilhelmsson, M., 2011. Willingness to pay for sustainable housing. Journal of Housing Research, 20 (1), 35–51. https://doi.org/10.5555/jhor.20.1.r012220m66316245 |
[34] | Chau, C. K., Tse, M. S. Chung, K. Y., 2010. A choice experiment to estimate the effect of green experience on preferences and willingness-to-pay for green building attributes. Building and Environment. 45 (11), 2553-2561. https://doi.org/10.1016/j.buildenv.2010.05.017 |
[35] | Banfi, S., Farsi, M., Filippini, M., Jakob, M., 2008. Willingness to pay for energy- saving measures in residential buildings. Energy Economics. 30 (2), 503–516. https://doi.org/10.1016/j.eneco.2006.06.001 |
[36] | Berrens, R. P., Jenkins-Smith, H., Bohara, A. K., & Silva, C. L. (2002). Further investigation of voluntary contribution contingent valuation: fair share, time of contribution, and respondent uncertainty. Journal of Environmental Economics and Management, 44 (1), 144-168. https://doi-org.ezproxy.haifa.ac.il/10.1006/jeem.2001.1193 |
[37] | Loomis, J., Brown, T., Lucero, B., & Peterson, G. (1996). Improving validity experiments of contingent valuation methods: results of efforts to reduce the disparity of hypothetical and actual willingness to pay. Land Economics, 450-461. DOI: 10.2307/3146908 https://www-jstor-org.ezproxy.haifa.ac.il/ stable/3146908 |
[38] | Zalejska-Jonsson, Agnieszka., 2014. Stated WTP and Rational WTP: Willingness to Pay for Green Apartments in Sweden. Sustainable Cities and Society, 13, 46–56. https://doi.org/10.1016/j.scs.2014.04.007 |
[39] | Bogner, K., & Landrock, U. (2016). Response Biases in Standardised Surveys. GESIS Survey Guidelines. Mannheim, Germany: GESIS – Leibniz Institute for the Social Sciences. https://doi-10.15465/gesis-sg_en_016 |
APA Style
Shoshi Ofek, Andrea Ghermandi, Boris Portnov. (2022). The Effect of the Expected Time-to-Purchase on the Acceptable Price Premium for Green Buildings. American Journal of Civil Engineering, 10(2), 55-63. https://doi.org/10.11648/j.ajce.20221002.14
ACS Style
Shoshi Ofek; Andrea Ghermandi; Boris Portnov. The Effect of the Expected Time-to-Purchase on the Acceptable Price Premium for Green Buildings. Am. J. Civ. Eng. 2022, 10(2), 55-63. doi: 10.11648/j.ajce.20221002.14
AMA Style
Shoshi Ofek, Andrea Ghermandi, Boris Portnov. The Effect of the Expected Time-to-Purchase on the Acceptable Price Premium for Green Buildings. Am J Civ Eng. 2022;10(2):55-63. doi: 10.11648/j.ajce.20221002.14
@article{10.11648/j.ajce.20221002.14, author = {Shoshi Ofek and Andrea Ghermandi and Boris Portnov}, title = {The Effect of the Expected Time-to-Purchase on the Acceptable Price Premium for Green Buildings}, journal = {American Journal of Civil Engineering}, volume = {10}, number = {2}, pages = {55-63}, doi = {10.11648/j.ajce.20221002.14}, url = {https://doi.org/10.11648/j.ajce.20221002.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20221002.14}, abstract = {Green buildings help to mitigate the impacts of construction on the environment by reducing the use of natural resources and limiting the emission of air pollutants associated with building construction and maintenance. Homebuyers who understand the life-cycle benefits of green buildings (such as lower operating costs, better indoor environment and reduced environmental impacts) are often willing to pay an additional price premium for such buildings. Although several studies examined the factors affecting the acceptable size of green building price premium, how the expected time to home purchase might affect the acceptable size of such premium remains unexplored. Here, we attempt to answer this question by using data from a countrywide survey carried out in Israel, in which responses from 390 potential homebuyers were collected and analyzed. We find that the willingness to pay a price premium for green buildings changes significantly with time to purchase and is the lowest for respondents who state that they do not plan to buy a home anytime in the near future. We explain this rather unexpected result by arguing that people who have no immediate home buying intention, might have only limited knowledge about contemporary housing market trends and thus do not consider green building as a viable alternative to traditional construction.}, year = {2022} }
TY - JOUR T1 - The Effect of the Expected Time-to-Purchase on the Acceptable Price Premium for Green Buildings AU - Shoshi Ofek AU - Andrea Ghermandi AU - Boris Portnov Y1 - 2022/04/20 PY - 2022 N1 - https://doi.org/10.11648/j.ajce.20221002.14 DO - 10.11648/j.ajce.20221002.14 T2 - American Journal of Civil Engineering JF - American Journal of Civil Engineering JO - American Journal of Civil Engineering SP - 55 EP - 63 PB - Science Publishing Group SN - 2330-8737 UR - https://doi.org/10.11648/j.ajce.20221002.14 AB - Green buildings help to mitigate the impacts of construction on the environment by reducing the use of natural resources and limiting the emission of air pollutants associated with building construction and maintenance. Homebuyers who understand the life-cycle benefits of green buildings (such as lower operating costs, better indoor environment and reduced environmental impacts) are often willing to pay an additional price premium for such buildings. Although several studies examined the factors affecting the acceptable size of green building price premium, how the expected time to home purchase might affect the acceptable size of such premium remains unexplored. Here, we attempt to answer this question by using data from a countrywide survey carried out in Israel, in which responses from 390 potential homebuyers were collected and analyzed. We find that the willingness to pay a price premium for green buildings changes significantly with time to purchase and is the lowest for respondents who state that they do not plan to buy a home anytime in the near future. We explain this rather unexpected result by arguing that people who have no immediate home buying intention, might have only limited knowledge about contemporary housing market trends and thus do not consider green building as a viable alternative to traditional construction. VL - 10 IS - 2 ER -