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Investigating Young Consumers’ Purchasing Intention of Green Housing in China

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  • Lin Zhang

    (School of Economics and Management, Hebei University of Technology, 5340 Xiping Road, Beichen District, Tianjin 300401, China
    School of Management Engineering, Shandong Jianzhu University, 1000 Fengming Road, Licheng District, Jinan 250101, China)

  • Liwen Chen

    (School of Economics and Management, Hebei University of Technology, 5340 Xiping Road, Beichen District, Tianjin 300401, China)

  • Zezhou Wu

    (Department of Construction Management and Real Estate, Shenzhen University, Shenzhen 518060, China)

  • Sizhen Zhang

    (School of Management Engineering, Shandong Jianzhu University, 1000 Fengming Road, Licheng District, Jinan 250101, China)

  • Huanbin Song

    (School of Management Engineering, Shandong Jianzhu University, 1000 Fengming Road, Licheng District, Jinan 250101, China)

Abstract

The issues of energy crisis, environmental degradation, and climate change present a severe challenge to the sustainable development in China. The development of green building (GB) is considered one of the most popular strategies toward a sustainable construction industry. Apart from advanced green technologies, consumers’ purchasing intention toward green housing (GH) plays a crucial role in the large-scale promotion of GB. However, which determinants significantly affect consumers’ purchasing intention remain unclear, especially for the young generation in developing countries. This study attempts to investigate young consumers’ purchasing intention of GH in China. On the basis of extended theory of planned behavior (TPB), seven constructs are identified, and nine hypotheses are proposed. A total of 241 responses were collected from the questionnaire survey, and structural equation modeling was employed to test the proposed hypotheses. Governmental incentives are affirmed to be the most important determinant, followed by consumers’ attitude toward behavior and subjective norm. Perceived behavioral control is an insignificant determinant for young consumers to purchase GH. In addition, subjective knowledge has an indirect effect through attitude toward behavior. Environmental concern also confirms an indirect effect through attitude toward behavior and subjective norm toward purchasing intention, respectively. Thus, the government is implied to play a crucial role in GH promotion at this stage.

Suggested Citation

  • Lin Zhang & Liwen Chen & Zezhou Wu & Sizhen Zhang & Huanbin Song, 2018. "Investigating Young Consumers’ Purchasing Intention of Green Housing in China," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1044-:d:139183
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    as
    1. Tan, Chin-Seang & Ooi, Hooi-Yin & Goh, Yen-Nee, 2017. "A moral extension of the theory of planned behavior to predict consumers’ purchase intention for energy-efficient household appliances in Malaysia," Energy Policy, Elsevier, vol. 107(C), pages 459-471.
    2. Ying-Chyi Chou & Chia-Han Yang & Ching-Hua Lu & Van Thac Dang & Pei-An Yang, 2017. "Building Criteria for Evaluating Green Project Management: An Integrated Approach of DEMATEL and ANP," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    3. Zhao, Dong-Xue & He, Bao-Jie & Johnson, Christine & Mou, Ben, 2015. "Social problems of green buildings: From the humanistic needs to social acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1594-1609.
    4. Zhang, Xiaoling, 2015. "Green real estate development in China: State of art and prospect agenda—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 1-13.
    5. Bon-Gang Hwang & Ming Shan & Helena Phua & Seokho Chi, 2017. "An Exploratory Analysis of Risks in Green Residential Building Construction Projects: The Case of Singapore," Sustainability, MDPI, vol. 9(7), pages 1-21, June.
    6. Yadav, Rambalak & Pathak, Govind S., 2017. "Determinants of Consumers' Green Purchase Behavior in a Developing Nation: Applying and Extending the Theory of Planned Behavior," Ecological Economics, Elsevier, vol. 134(C), pages 114-122.
    7. Hong Hu & Stan Geertman & Pieter Hooimeijer, 2014. "The willingness to pay for green apartments: The case of Nanjing, China," Urban Studies, Urban Studies Journal Limited, vol. 51(16), pages 3459-3478, December.
    8. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    9. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    10. Queena K. Qian & Edwin H. W. Chan & Abd Ghani Khalid, 2015. "Challenges in Delivering Green Building Projects: Unearthing the Transaction Costs (TCs)," Sustainability, MDPI, vol. 7(4), pages 1-22, March.
    11. Hume, Margee, 2010. "Compassion without action: Examining the young consumers consumption and attitude to sustainable consumption," Journal of World Business, Elsevier, vol. 45(4), pages 385-394, October.
    12. Zimmer, Mary R. & Stafford, Thomas F. & Stafford, Marla Royne, 1994. "Green issues: Dimensions of environmental concern," Journal of Business Research, Elsevier, vol. 30(1), pages 63-74, May.
    13. Reddy, Sudhakar & Painuly, J.P, 2004. "Diffusion of renewable energy technologies—barriers and stakeholders’ perspectives," Renewable Energy, Elsevier, vol. 29(9), pages 1431-1447.
    14. Kamonthip Maichum & Surakiat Parichatnon & Ke-Chung Peng, 2016. "Application of the Extended Theory of Planned Behavior Model to Investigate Purchase Intention of Green Products among Thai Consumers," Sustainability, MDPI, vol. 8(10), pages 1-20, October.
    15. Han, Heesup & Hsu, Li-Tzang (Jane) & Sheu, Chwen, 2010. "Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities," Tourism Management, Elsevier, vol. 31(3), pages 325-334.
    16. Shi, Qian & Yu, Tao & Zuo, Jian, 2015. "What leads to low-carbon buildings? A China study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 726-734.
    17. Octav-Ionut Macovei, 2015. "Applying the Theory of Planned Behavior in Predicting Proenvironmental Behaviour: The Case of Energy Conservation," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 11(4), pages 15-32, August.
    18. Gerpott, Torsten J. & Paukert, Mathias, 2013. "Determinants of willingness to pay for smart meters: An empirical analysis of household customers in Germany," Energy Policy, Elsevier, vol. 61(C), pages 483-495.
    19. Ingrid Moons & Patrick De Pelsmacker, 2015. "An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison," Sustainability, MDPI, vol. 7(5), pages 1-34, May.
    20. Wynne W. Chin & Abhijit Gopal & W. David Salisbury, 1997. "Advancing the Theory of Adaptive Structuration: The Development of a Scale to Measure Faithfulness of Appropriation," Information Systems Research, INFORMS, vol. 8(4), pages 342-367, December.
    21. Diamantopoulos, Adamantios & Schlegelmilch, Bodo B. & Sinkovics, Rudolf R. & Bohlen, Greg M., 2003. "Can socio-demographics still play a role in profiling green consumers? A review of the evidence and an empirical investigation," Journal of Business Research, Elsevier, vol. 56(6), pages 465-480, June.
    22. Chan, Edwin H.W. & Qian, Queena K. & Lam, Patrick T.I., 2009. "The market for green building in developed Asian cities--the perspectives of building designers," Energy Policy, Elsevier, vol. 37(8), pages 3061-3070, August.
    23. Kumar, Bipul & Manrai, Ajay K. & Manrai, Lalita A., 2017. "Purchasing behaviour for environmentally sustainable products: A conceptual framework and empirical study," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 1-9.
    24. Paul, Justin & Modi, Ashwin & Patel, Jayesh, 2016. "Predicting green product consumption using theory of planned behavior and reasoned action," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 123-134.
    25. Zhang, Yurong & Wang, Jingjing & Hu, Fangfang & Wang, Yuanfeng, 2017. "Comparison of evaluation standards for green building in China, Britain, United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 262-271.
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