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Comparison of Willingness to Pay for Quality Air and Renewable Energy Considering Urban Living Experience

Author

Listed:
  • Rui Zhou

    (Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu 808-0135, Japan)

  • Hiroatsu Fukuda

    (Department of Architecture, The University of Kitakyushu, Kitakyushu 808-0135, Japan)

  • You Li

    (Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu 808-0135, Japan
    Asia-Japan Research Institute, Ritsumeikan University, Osaka 567-8570, Japan)

  • Yafei Wang

    (Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu 808-0135, Japan)

Abstract

Currently, quality air and renewable energy are main concerns in protecting the environment. Comparing willingness to pay for quality air and renewable energy is rare in the existing literature. However, the public faces these issues simultaneously. In addition, population mobility under China’s household registration system, i.e., urban living experience, may affect the willingness to pay for environmental protection. Consequently, the difference between people’s willingness to pay for quality air and renewable energy in China is discussed. Binary logistic regression is adopted to analyze the correlation factors based on data from the China General Social Survey. The results show that willingness to pay is influenced by environmental attitudes, awareness of energy use, government responsibilities, age, household income level, and trust. The effects of urban living experience on willingness to pay weakens as age decreases. Thus, improving environmental awareness and specialized knowledge remain important means of promoting willingness to pay. Our findings can help marketers and policy designers develop balanced or targeted measures when taking joint actions.

Suggested Citation

  • Rui Zhou & Hiroatsu Fukuda & You Li & Yafei Wang, 2023. "Comparison of Willingness to Pay for Quality Air and Renewable Energy Considering Urban Living Experience," Energies, MDPI, vol. 16(2), pages 1-21, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:992-:d:1037360
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    References listed on IDEAS

    as
    1. Xie, Bai-Chen & Zhao, Wei, 2018. "Willingness to pay for green electricity in Tianjin, China: Based on the contingent valuation method," Energy Policy, Elsevier, vol. 114(C), pages 98-107.
    2. Weiping Wu, 2004. "Sources of Migrant Housing Disadvantage in Urban China," Environment and Planning A, , vol. 36(7), pages 1285-1304, July.
    3. Oerlemans, Leon A.G. & Chan, Kai-Ying & Volschenk, Jako, 2016. "Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 875-885.
    4. Lei Che & Haifeng Du & Xiaoyi Jin & Marcus W. Feldman, 2022. "How Family Living Arrangements and Migration Distances Shape the Settlement Intentions of Rural Migrant Workers in China," IJERPH, MDPI, vol. 19(23), pages 1-21, December.
    5. Freeman, Richard & Liang, Wenquan & Song, Ran & Timmins, Christopher, 2019. "Willingness to pay for clean air in China," Journal of Environmental Economics and Management, Elsevier, vol. 94(C), pages 188-216.
    6. Nketiah, Emmanuel & Song, Huaming & Adu-Gyamfi, Gibbson & Obuobi, Bright & Adjei, Mavis & Cudjoe, Dan, 2022. "Does government involvement and awareness of benefit affect Ghanaian's willingness to pay for renewable green electricity?," Renewable Energy, Elsevier, vol. 197(C), pages 683-694.
    7. Age Poom & Rein Ahas, 2016. "How Does the Environmental Load of Household Consumption Depend on Residential Location?," Sustainability, MDPI, vol. 8(9), pages 1-18, August.
    8. Kelcie M. Ralph & Anne E. Brown, 2019. "The role of habit and residential location in travel behavior change programs, a field experiment," Transportation, Springer, vol. 46(3), pages 719-734, June.
    9. Li Zhang & Li Tao, 2012. "Barriers to the Acquisition of Urban Hukou in Chinese Cities," Environment and Planning A, , vol. 44(12), pages 2883-2900, December.
    10. KNIGHT, John & SONG, Lina & GUNATILAKA, Ramani, 2009. "Subjective well-being and its determinants in rural China," China Economic Review, Elsevier, vol. 20(4), pages 635-649, December.
    11. Dalia Streimikiene & Tomas Balezentis & Ilona Alisauskaite-Seskiene & Gintare Stankuniene & Zaneta Simanaviciene, 2019. "A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector," Energies, MDPI, vol. 12(8), pages 1-38, April.
    12. Artem Korzhenevych & Charles Kofi Owusu, 2021. "Renewable Minigrid Electrification in Off-Grid Rural Ghana: Exploring Households Willingness to Pay," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    13. Tao, Yujie & Duan, Maosheng & Deng, Zhe, 2021. "Using an extended theory of planned behaviour to explain willingness towards voluntary carbon offsetting among Chinese consumers," Ecological Economics, Elsevier, vol. 185(C).
    14. Song, Yang, 2014. "What should economists know about the current Chinese hukou system?," China Economic Review, Elsevier, vol. 29(C), pages 200-212.
    15. Ali, Kishwar & Jianguo, Du & Kirikkaleli, Dervis, 2022. "Modeling the natural resources and financial inclusion on ecological footprint: The role of economic governance institutions. Evidence from ECOWAS economies," Resources Policy, Elsevier, vol. 79(C).
    16. Haiqin Ju & Jia Chen & Jingwen Xu & Hongxiao Zhang, 2022. "How Do Non-Agricultural Employment and Regional Selection Affect Farmers’ Domestic Sewage Discharge Behavior? Empirical Evidence from Rural China," IJERPH, MDPI, vol. 19(17), pages 1-14, August.
    17. Liobikienė, Genovaitė & Dagiliūtė, Renata, 2021. "Do positive aspects of renewable energy contribute to the willingness to pay more for green energy?," Energy, Elsevier, vol. 231(C).
    18. van den Brom, Paula & Hansen, Anders Rhiger & Gram-Hanssen, Kirsten & Meijer, Arjen & Visscher, Henk, 2019. "Variances in residential heating consumption – Importance of building characteristics and occupants analysed by movers and stayers," Applied Energy, Elsevier, vol. 250(C), pages 713-728.
    19. Dominik Wiedenhofer & Dabo Guan & Zhu Liu & Jing Meng & Ning Zhang & Yi-Ming Wei, 2017. "Unequal household carbon footprints in China," Nature Climate Change, Nature, vol. 7(1), pages 75-80, January.
    20. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    21. Halkos, George & Leonti, Aikaterini & Petropoulos, Constantinos & Sardianou, Eleni, 2022. "Determinants of willingness to pay for urban parks: An empirical analysis in Greece," Land Use Policy, Elsevier, vol. 119(C).
    22. Jingbo Fan & Aobo Ran & Xiaomeng Li, 2019. "A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    23. Min-Kyu Lee & Ju-Hee Kim & Seung-Hoon Yoo, 2018. "Public Willingness to Pay for Increasing Photovoltaic Power Generation: The Case of Korea," Sustainability, MDPI, vol. 10(4), pages 1-11, April.
    24. Sun, Chuanwang & Yuan, Xiang & Yao, Xin, 2016. "Social acceptance towards the air pollution in China: Evidence from public's willingness to pay for smog mitigation," Energy Policy, Elsevier, vol. 92(C), pages 313-324.
    25. Masako Numata & Masahiro Sugiyama & Wunna Swe & Daniel del Barrio Alvarez, 2021. "Willingness to Pay for Renewable Energy in Myanmar: Energy Source Preference," Energies, MDPI, vol. 14(5), pages 1-17, March.
    26. Elahi, Ehsan & Khalid, Zainab & Zhang, Zhixin, 2022. "Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture," Applied Energy, Elsevier, vol. 309(C).
    27. Shao, Shuai & Tian, Zhihua & Fan, Meiting, 2018. "Do the rich have stronger willingness to pay for environmental protection? New evidence from a survey in China," World Development, Elsevier, vol. 105(C), pages 83-94.
    28. Nana Afia Opoku-Asare & Abena Okyerewa Siaw, 2016. "Curricula and Inferential Factors That Affect Student Achievement in Rural, Urban, and Peri-Urban Senior High Schools in Ghana," SAGE Open, , vol. 6(3), pages 21582440166, August.
    29. Soon, Jan-Jan & Ahmad, Siti-Aznor, 2015. "Willingly or grudgingly? A meta-analysis on the willingness-to-pay for renewable energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 877-887.
    30. Wang, Yao & Lin, Boqiang & Li, Minyang, 2021. "Is household electricity saving a virtuous circle? A case study of the first-tier cities in China," Applied Energy, Elsevier, vol. 285(C).
    31. Tan, Yang & Fukuda, Hiroatsu & Li, Zhang & Wang, Shuai & Gao, Weijun & Liu, Zhonghui, 2022. "Does the public support the construction of battery swapping station for battery electric vehicles? - Data from Hangzhou, China," Energy Policy, Elsevier, vol. 163(C).
    32. Hu, Feng & Xu, Zhaoyuan & Chen, Yuyu, 2011. "Circular migration, or permanent stay? Evidence from China's rural-urban migration," China Economic Review, Elsevier, vol. 22(1), pages 64-74, March.
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