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An Extension of the Theory of Planned Behaviour to Predict Willingness to Pay for the Conservation of Urban Lakes for Mitigating the Urban Heat Island Effect

Received: 25 March 2019    Accepted:     Published: 23 May 2019
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Abstract

Urban heat island effect has become a serious environmental problem of Beijing and urban lakes are proved to be effective in mitigating this phenomenon. Urban lakes are proved to be effective in mitigating urban heat island effect, while this effect has long been overlooked. One important reason is that its economic value cannot be easily measured. This paper empirically investigates the Beijing residents' willingness of pay for the benefit of urban lakes in mitigating the urban heat island effects. In addition, the government also willing to promote public participation in environmental issues. To explore the influencing factors of residents' willingness to pay, this study applied an extended framework of the theory of planned behavior by introducing the concept of environmental concern. The estimated mean willingness to pay was 24.44 US dollars per year. In order to improve the prediction power of respondents' pro-environmental behavior, the original framework of the Theory of Planned behavior were extended by adding the factor of environmental concern. The new relation of components show that environmental concern influence respondents’ willingness to pay both directly and indirectly, and the explanatory power of the original prediction model is improved. This research reveal that a majority of residents in Beijing are willing to contribute for the conservation of urban lakes for mitigating urban heat island effect, while environment related information disclosure is necessary for promoting public participation in urban environment management.

Published in Journal of Energy and Natural Resources (Volume 8, Issue 2)
DOI 10.11648/j.jenr.20190802.12
Page(s) 50-59
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), 2024. Published by Science Publishing Group

Keywords

Three Willingness to Pay, Theory of Planned Behavior, Urban Lake, Environmental Concern, Urban Heat Island

References
[1] Y. Li, L. Jia, W. Wu, J. Yan, Y. Liu, Urbanization for rural sustainability – Rethinking China's urbanization strategy, Journal of Cleaner Production 178 (2018) 580-586.
[2] N. B. Grimm, S. H. Faeth, N. E. Golubiewski, C. L. Redman, J. Wu, X. Bai, J. M. Briggs, Global change and the ecology of cities, Science 319 (5864) (2008) 756-760.
[3] D. J. Unwin, The urban climate, H. E. Lansberg, Academic Press, Volume 28, International Geophysics Series, 1981, No. of pages: 275, International Journal of Climatology 2 (3) (2010) 302-303.
[4] T. Kjellstrom, D. Briggs, C. Freyberg, B. Lemke, M. Otto, O. Hyatt, Heat, Human Performance, and Occupational Health: A Key Issue for the Assessment of Global Climate Change Impacts, Annual Review of Public Health 37 (37) (2016) 97.
[5] J. Rocklöv, B. Forsberg, K. Ebi, T. Bellander, Susceptibility to mortality related to temperature and heat and cold wave duration in the population of Stockholm County, Sweden, Global Health Action 7 (1) (2014) 22737.
[6] M. Stafoggia, F. Forastiere, D. Agostini, N. Caranci, F. De'Donato, M. Demaria, P. Michelozzi, R. Miglio, M. Rognoni, A. Russo,. Factors affecting in-hospital heat-related mortality: a multi-city case-crossover analysis, Journal of Epidemiology and Community Health (1979-) 62 (3) (2008) 209-215.
[7] X. Xu, J. E. González, S. Shen, S. Miao, J. Dou, Impacts of urbanization and air pollution on building energy demands — Beijing case study, Applied Energy 225 (2018) 98-109.
[8] Y. Cui, D. Yan, T. Hong, J. Ma, Temporal and spatial characteristics of the urban heat island in Beijing and the impact on building design and energy performance, Energy 130 (2017) 286-297.
[9] D. Lai, W. Liu, T. Gan, K. Liu, Q. Chen, A review of mitigating strategies to improve the thermal environment and thermal comfort in urban outdoor spaces, The Science of the total environment 661 (2019) 337-353.
[10] G. Manteghi, H. Bin Limit, D. Remaz, Water bodies an urban microclimate: A review, Modern Applied Science 9(6) (2015) 1-12.
[11] N. Imam Syafii, M. Ichinose, E. Kumakura, S. K. Jusuf, K. Chigusa, N. H. Wong, Thermal environment assessment around bodies of water in urban canyons: A scale model study, Sustainable Cities and Society 34 (2017) 79-89.
[12] R. Sun, L. Chen, How can urban water bodies be designed for climate adaptation?, Landscape and Urban Planning 105(1-2) (2012) 27-33.
[13] R. T. Carson, N. E. Flores, N. F. Meade, Contingent valuation: Controversies and evidence, Environmental and Resource Economics 19 (2) (2001) 173-210.
[14] R. T. Carson, W. M. Hanemann, Chapter 17 Contingent Valuation, in: K.-G. Mler, J. R. Vincent (Eds.), Handbook of Environmental Economics, Elsevier2005, pp. 821-936.
[15] D. o. P. C. o. China, China's Agenda 21, Environmental Science Press, Beijing, 1994.
[16] J. De Groot, L. Steg, General beliefs and the theory of planned behavior: The role of environmental concerns in the TPB, Journal of Applied Social Psychology 37 (8) (2007) 1817-1836.
[17] B. Torgler, M. A. García-Valiñas, The determinants of individuals' attitudes towards preventing environmental damage, Ecological Economics 63 (2) (2007) 536-552.
[18] U. Sauer, A. Fischer, Willingness to pay, attitudes and fundamental values — On the cognitive context of public preferences for diversity in agricultural landscapes, Ecological Economics 70 (1) (2011) 1-9.
[19] C. L. Spash, K. Urama, R. Burton, W. Kenyon, P. Shannon, G. Hill, Motives behind willingness to pay for improving biodiversity in a water ecosystem: Economics, ethics and social psychology, Ecological Economics 68 (4) (2009) 955-964.
[20] J. I. M. D. Groot, L. Steg, Relationships between value orientations, self-determined motivational types and pro-environmental behavioural intentions, Journal of Environmental Psychology 30 (4) (2010) 368-378.
[21] I. Ajzen, The theory of planned behavior, Organizational Behavior and Human Decision Processes 50 (2) (1991) 179-211.
[22] M. A. Vicente-Molina, A. Fernández-Sáinz, J. Izagirre-Olaizola, Environmental knowledge and other variables affecting pro-environmental behaviour: comparison of university students from emerging and advanced countries, Journal of Cleaner Production 61 (2013) 130-138.
[23] S. Zahedi, J. M. Batista-Foguet, L. van Wunnik, Exploring the public's willingness to reduce air pollution and greenhouse gas emissions from private road transport in Catalonia, The Science of the total environment 646 (2019) 850-861.
[24] Y. Kim, H. Han, Intention to pay conventional-hotel prices at a green hotel – a modification of the theory of planned behavior, Journal of Sustainable Tourism 18 (8) (2010) 997-1014.
[25] N. Lopez-Mosquera, T. Garcia, R. Barrena, An extension of the Theory of Planned Behavior to predict willingness to pay for the conservation of an urban park, Journal of environmental management 135 (2014) 91-9.
[26] Z. Wang, Y. Gong, X. Mao, Exploring the value of overseas biodiversity to Chinese netizens based on willingness to pay for the African elephants' protection, The Science of the total environment 637-638 (2018) 600-608.
[27] Y. Han, Inheritance and Development of Beijing Urban Water Landscape System, Proceedings of the China Urban Planning Annual Conference, 2015, 2015.
[28] G. Szolnoki, D. Hoffmann, Online, face-to-face and telephone surveys—Comparing different sampling methods in wine consumer research, Wine Economics & Policy 2 (2) (2013) 57-66.
[29] S. Ansolabehere, B. F. Schaffner, Does Survey Mode Still Matter? Findings from a 2010 Multi-Mode Comparison, Political Analysis 22 (3) (2017) 285-303.
[30] M. D. Kaplowitz, T. D. Hadlock, R. Levine, A Comparison of Web and Mail Survey Response Rates, Public Opinion Quarterly 68(1) (2004) 94-101.
[31] C. A. o. China, China Internet Development Report, (2018).
[32] Z. Lei, W. Yang, Market segmentation and willingness to pay for green electricity among urban residents in China: The case of Jiangsu Province, Energy Policy 51 (4) (2012) 514-523.
[33] C. Wan, Network Survey System Analysis and Design, Beijing Jiaotong Univesity (2014).
[34] S. Y. Sun, A study of Consumer Information Search Online in China., Zhejiang University (2009).
[35] Z. Y. Cheng, Study on the Influence of Network Interaction on Purchase Intention and Trust Guarantee Mechanism in Social Network., Beijing University of Posts and Telecommunications (2013).
[36] J. X. Zha, The Relationship Between B2C E-commerce Customer Value and Customer's E-loyalty, Zhejiang University (2006).
[37] R. T. Carson, Contingent valuation: A user's guide, Environmental Science and Technology 34 (8) (2000) 1413-1418.
[38] K. J. Egan, J. R. Corrigan, D. F. Dwyer, Three reasons to use annual payments in contingent valuation surveys: Convergent validity, discount rates, and mental accounting, Journal of Environmental Economics and Management 72 (2015) 123-136.
[39] N. Hanley, J. F. Shogren, B. White, Environmental economics in theory and practice, 1997.
[40] J. C. Anderson, D. W. Gerbing, Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach, Psychological Bulletin 103 (3) (1988) 411-423.
[41] L. Lacaille, Theory of Reasoned Action, (2013).
[42] H. Han, L. T. Hsu, C. Sheu, Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities, Tourism Management 31 (3) (2010) 325-334.
[43] K. Huchting, A. Lac, J. W. Labrie, An application of the Theory of Planned Behavior to sorority alcohol consumption, Addictive Behaviors 33 (4) (2008) 538-551.
[44] M. J. Lee, K. J. Back, Association members' meeting participation behaviors: development of meeting participation model, Journal of Travel & Tourism Marketing 22 (2) (2007) 15-33.
[45] U. Liebe, P. Preisendörfer, J. Meyerhoff, To pay or not to pay: Competing theories to explain individuals' willingness to pay for public environmental goods, Environment and Behavior 43 (1) (2011) 106-130.
[46] K. S. Fielding, R. McDonald, W. R. Louis, Theory of planned behaviour, identity and intentions to engage in environmental activism, Journal of Environmental Psychology 28 (4) (2008) 318-326.
[47] H. Karppinen, Forest owners’ choice of reforestation method: an application of the theory of planned behavior, Forest Policy & Economics 7 (3) (2005) 393-409.
[48] K. Bernath, A. Roschewitz, Recreational benefits of urban forests: explaining visitors' willingness to pay in the context of the theory of planned behavior, Journal of environmental management 89 (3) (2008) 155-66.
[49] V. A. Quintal, J. A. Lee, G. N. Soutar, Risk, uncertainty and the theory of planned behavior: A tourism example, Tourism Management 31(6) (2010) 797-805.
[50] A. Peters, H. Gutscher, R. W. Scholz, Psychological determinants of fuel consumption of purchased new cars, Transportation Research Part F Traffic Psychology & Behaviour 14 (3) (2011) 229-239.
[51] F. G. Kaiser, A moral extension of the theory of planned behavior: Norms and anticipated feelings of regret in conservationism, Personality and Individual Differences 41 (1) (2006) 71-81.
[52] S. Bamberg, I. Ajzen, P. Schmidt, Choice of Travel Mode in the Theory of Planned Behavior: The Roles of Past Behavior, Habit, and Reasoned Action, Basic and Applied Social Psychology 25 (3) (2010) 175-187.
[53] Y. Heath, R. Gifford, Extending the theory of planned behavior: Predicting the use of public transportation, Journal of Applied Social Psychology 32 (10) (2002) 2154-2189.
[54] P. Hartmann, V. Apaolaza-Ibáñez, Consumer attitude and purchase intention toward green energy brands: The roles of psychological benefits and environmental concern, Journal of Business Research 65 (9) (2012) 1254-1263.
[55] S. Bamberg, How does environmental concern influence specific environmentally related behaviors? A new answer to an old question, Journal of Environmental Psychology 23 (1) (2003) 21-32.
[56] M.-F. Chen, P.-J. Tung, Developing an extended Theory of Planned Behavior model to predict consumers’ intention to visit green hotels, International Journal of Hospitality Management 36 (2014) 221-230.
[57] R. J. Nawrotzki, The politics of environmental concern: A cross-national analysis, Organ Environ 25 (3) (2012) 286-307.
[58] M. F. Chen, P. J. Tung, Developing an extended Theory of Planned Behavior model to predict consumers' intention to visit green hotels, International Journal of Hospitality Management 36 (2014) 221-230.
[59] A. Kollmuss, J. Agyeman, Mind the Gap: Why do people act environmentally and what are the barriers to pro-environmental behavior?, Environmental Education Research 8 (3) (2010) 239-260.
[60] C. Fornell, D. F. Larcker, Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, Journal of Marketing Research 18 (1) (1981) 39-50.
[61] D. L. Hoeksma, M. A. Gerritzen, A. M. Lokhorst, P. M. Poortvliet, An extended theory of planned behavior to predict consumers' willingness to buy mobile slaughter unit meat, Meat science 128 (2017) 15-23.
[62] L. Zhang, H. Fukuda, Z. Liu, Households' willingness to pay for green roof for mitigating heat island effects in Beijing (China), Building and Environment 150 (2019) 13-20.
[63] E. Pouta, M. Rekola, The theory of planned behavior in predicting willingness to pay for abatement of forest regeneration, Society and Natural Resources 14 (2) (2001) 93-106.
[64] B. Wang, C. Ren, X. Dong, B. Zhang, Z. Wang, Determinants shaping willingness towards on-line recycling behaviour: An empirical study of household e-waste recycling in China, Resources, Conservation and Recycling 143 (2019) 218-225.
[65] M. Sánchez, N. López-Mosquera, F. Lera-López, J. Faulin, An Extended Planned Behavior Model to Explain the Willingness to Pay to Reduce Noise Pollution in Road Transportation, Journal of Cleaner Production 177 (2018) 144-154.
[66] N. Lopez-Mosquera, M. Sanchez, Theory of Planned Behavior and the Value-Belief-Norm Theory explaining willingness to pay for a suburban park, Journal of environmental management 113 (2012) 251-62.
[67] S. Wang, J. Fan, D. Zhao, S. Yang, Y. Fu, Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model, Transportation 43 (1) (2016) 123-143.
[68] I. Ajzen, M. Fishbein, Understanding Attitudes and Predicting Social Behavior, 1980.
[69] R. S. Gregory, Valuing environmental policy options: A case study comparison of multiattribute and contingent valuation survey methods, Land Economics 76 (2) (2000) 151-173.
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    Li Zhang, Hiroatsu Fukuda. (2019). An Extension of the Theory of Planned Behaviour to Predict Willingness to Pay for the Conservation of Urban Lakes for Mitigating the Urban Heat Island Effect. Journal of Energy and Natural Resources, 8(2), 50-59. https://doi.org/10.11648/j.jenr.20190802.12

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    Li Zhang; Hiroatsu Fukuda. An Extension of the Theory of Planned Behaviour to Predict Willingness to Pay for the Conservation of Urban Lakes for Mitigating the Urban Heat Island Effect. J. Energy Nat. Resour. 2019, 8(2), 50-59. doi: 10.11648/j.jenr.20190802.12

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    AMA Style

    Li Zhang, Hiroatsu Fukuda. An Extension of the Theory of Planned Behaviour to Predict Willingness to Pay for the Conservation of Urban Lakes for Mitigating the Urban Heat Island Effect. J Energy Nat Resour. 2019;8(2):50-59. doi: 10.11648/j.jenr.20190802.12

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  • @article{10.11648/j.jenr.20190802.12,
      author = {Li Zhang and Hiroatsu Fukuda},
      title = {An Extension of the Theory of Planned Behaviour to Predict Willingness to Pay for the Conservation of Urban Lakes for Mitigating the Urban Heat Island Effect},
      journal = {Journal of Energy and Natural Resources},
      volume = {8},
      number = {2},
      pages = {50-59},
      doi = {10.11648/j.jenr.20190802.12},
      url = {https://doi.org/10.11648/j.jenr.20190802.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jenr.20190802.12},
      abstract = {Urban heat island effect has become a serious environmental problem of Beijing and urban lakes are proved to be effective in mitigating this phenomenon. Urban lakes are proved to be effective in mitigating urban heat island effect, while this effect has long been overlooked. One important reason is that its economic value cannot be easily measured. This paper empirically investigates the Beijing residents' willingness of pay for the benefit of urban lakes in mitigating the urban heat island effects. In addition, the government also willing to promote public participation in environmental issues. To explore the influencing factors of residents' willingness to pay, this study applied an extended framework of the theory of planned behavior by introducing the concept of environmental concern. The estimated mean willingness to pay was 24.44 US dollars per year. In order to improve the prediction power of respondents' pro-environmental behavior, the original framework of the Theory of Planned behavior were extended by adding the factor of environmental concern. The new relation of components show that environmental concern influence respondents’ willingness to pay both directly and indirectly, and the explanatory power of the original prediction model is improved. This research reveal that a majority of residents in Beijing are willing to contribute for the conservation of urban lakes for mitigating urban heat island effect, while environment related information disclosure is necessary for promoting public participation in urban environment management.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - An Extension of the Theory of Planned Behaviour to Predict Willingness to Pay for the Conservation of Urban Lakes for Mitigating the Urban Heat Island Effect
    AU  - Li Zhang
    AU  - Hiroatsu Fukuda
    Y1  - 2019/05/23
    PY  - 2019
    N1  - https://doi.org/10.11648/j.jenr.20190802.12
    DO  - 10.11648/j.jenr.20190802.12
    T2  - Journal of Energy and Natural Resources
    JF  - Journal of Energy and Natural Resources
    JO  - Journal of Energy and Natural Resources
    SP  - 50
    EP  - 59
    PB  - Science Publishing Group
    SN  - 2330-7404
    UR  - https://doi.org/10.11648/j.jenr.20190802.12
    AB  - Urban heat island effect has become a serious environmental problem of Beijing and urban lakes are proved to be effective in mitigating this phenomenon. Urban lakes are proved to be effective in mitigating urban heat island effect, while this effect has long been overlooked. One important reason is that its economic value cannot be easily measured. This paper empirically investigates the Beijing residents' willingness of pay for the benefit of urban lakes in mitigating the urban heat island effects. In addition, the government also willing to promote public participation in environmental issues. To explore the influencing factors of residents' willingness to pay, this study applied an extended framework of the theory of planned behavior by introducing the concept of environmental concern. The estimated mean willingness to pay was 24.44 US dollars per year. In order to improve the prediction power of respondents' pro-environmental behavior, the original framework of the Theory of Planned behavior were extended by adding the factor of environmental concern. The new relation of components show that environmental concern influence respondents’ willingness to pay both directly and indirectly, and the explanatory power of the original prediction model is improved. This research reveal that a majority of residents in Beijing are willing to contribute for the conservation of urban lakes for mitigating urban heat island effect, while environment related information disclosure is necessary for promoting public participation in urban environment management.
    VL  - 8
    IS  - 2
    ER  - 

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Author Information
  • Department of Architecture, University of Kitakyushu, Kitakyushu, Japan

  • Department of Architecture, University of Kitakyushu, Kitakyushu, Japan

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