IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v168y2016icp291-302.html
   My bibliography  Save this article

Effect of housing relocation subsidy policy on energy consumption: A simulation case study

Author

Listed:
  • Yin, Yanhong
  • Aikawa, Kohei
  • Mizokami, Shoshi

Abstract

This study investigates the effect of housing relocation policies on energy consumption by simulating household relocation choice behaviors and consumption behaviors. Energy consumption is estimated based on consumption behaviors. Three types of policy are analyzed: the relocation subsidy policy, the suburban residence taxation policy, and the combination of subsidy and taxation policy. The results show that all policies have influence on housing relocation choice and consumption behaviors. The number of households in a given area would increase by two percent under the relocation subsidy policy. However, this type of policy contributes to greater demand of general goods, land, and more energy consumption. A suburban residence taxation policy shows very limited effect on housing relocation choice behaviors, with only a 0.1% increase of households in the designated area. However, this policy shows strong effect on energy reduction due to shorter trip time and less demand of car trips and land. A combination of subsidy policy and suburban residence taxation policy attracts 2.2% of households move to the city center area. Energy consumption increases as consumption of general goods increases.

Suggested Citation

  • Yin, Yanhong & Aikawa, Kohei & Mizokami, Shoshi, 2016. "Effect of housing relocation subsidy policy on energy consumption: A simulation case study," Applied Energy, Elsevier, vol. 168(C), pages 291-302.
  • Handle: RePEc:eee:appene:v:168:y:2016:i:c:p:291-302
    DOI: 10.1016/j.apenergy.2016.01.068
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916300484
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2016.01.068?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hachem, Caroline & Athienitis, Andreas & Fazio, Paul, 2014. "Energy performance enhancement in multistory residential buildings," Applied Energy, Elsevier, vol. 116(C), pages 9-19.
    2. Kragh, J. & Rose, J., 2011. "Energy renovation of single-family houses in Denmark utilising long-term financing based on equity," Applied Energy, Elsevier, vol. 88(6), pages 2245-2253, June.
    3. Xu, Xiaoqi & Culligan, Patricia J. & Taylor, John E., 2014. "Energy Saving Alignment Strategy: Achieving energy efficiency in urban buildings by matching occupant temperature preferences with a building’s indoor thermal environment," Applied Energy, Elsevier, vol. 123(C), pages 209-219.
    4. Manoj, M. & Verma, Ashish & Navyatha, M., 2015. "Commute travel and its effect on housing tenure choice of males and females living in the urban and rural areas of Bangalore city in India," Journal of Transport Geography, Elsevier, vol. 45(C), pages 62-69.
    5. Fabio Grazi & Jeroen C.J.M. van den Bergh & Jos N. van Ommeren, 2008. "An Empirical Analysis of Urban Form, Transport, and Global Warming," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 97-122.
    6. Yin, Yanhong & Mizokami, Shoshi & Aikawa, Kohei, 2015. "Compact development and energy consumption: Scenario analysis of urban structures based on behavior simulation," Applied Energy, Elsevier, vol. 159(C), pages 449-457.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    8. Hartwick, John & Schweizer, Urs & Varaiya, Pravin, 1976. "Comparative statics of a residential economy with several classes," Journal of Economic Theory, Elsevier, vol. 13(3), pages 396-413, December.
    9. Wiedenhofer, Dominik & Lenzen, Manfred & Steinberger, Julia K., 2013. "Energy requirements of consumption: Urban form, climatic and socio-economic factors, rebounds and their policy implications," Energy Policy, Elsevier, vol. 63(C), pages 696-707.
    10. Yamagata, Yoshiki & Seya, Hajime, 2013. "Simulating a future smart city: An integrated land use-energy model," Applied Energy, Elsevier, vol. 112(C), pages 1466-1474.
    11. Felix Haifeng Liao & Steven Farber & Reid Ewing, 2015. "Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 314-337, February.
    12. Elizabeth C. Delmelle & Yuhong Zhou & Jean-Claude Thill, 2014. "Densification without Growth Management? Evidence from Local Land Development and Housing Trends in Charlotte, North Carolina, USA," Sustainability, MDPI, vol. 6(6), pages 1-16, June.
    13. Fang, Chuanglin & Wang, Shaojian & Li, Guangdong, 2015. "Changing urban forms and carbon dioxide emissions in China: A case study of 30 provincial capital cities," Applied Energy, Elsevier, vol. 158(C), pages 519-531.
    14. Hamilton, Ian G. & Steadman, Philip J. & Bruhns, Harry & Summerfield, Alex J. & Lowe, Robert, 2013. "Energy efficiency in the British housing stock: Energy demand and the Homes Energy Efficiency Database," Energy Policy, Elsevier, vol. 60(C), pages 462-480.
    15. Stephan, André & Crawford, Robert H. & de Myttenaere, Kristel, 2013. "A comprehensive assessment of the life cycle energy demand of passive houses," Applied Energy, Elsevier, vol. 112(C), pages 23-34.
    16. Paul G. Lewis & Mark Baldassare, 2010. "The Complexity of Public Attitudes Toward Compact Development," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(2), pages 219-237, April.
    17. Wu, JunJie, 2006. "Environmental amenities, urban sprawl, and community characteristics," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 527-547, September.
    18. Yin, Yanhong & Mizokami, Shoshi & Maruyama, Takuya, 2013. "An analysis of the influence of urban form on energy consumption by individual consumption behaviors from a microeconomic viewpoint," Energy Policy, Elsevier, vol. 61(C), pages 909-919.
    19. Chel, Arvind & Tiwari, G.N., 2009. "Thermal performance and embodied energy analysis of a passive house - Case study of vault roof mud-house in India," Applied Energy, Elsevier, vol. 86(10), pages 1956-1969, October.
    20. Yizhao Yang & Kelly O'Neill, 2014. "Understanding factors affecting people's attitudes toward living in compact and mixed-use environments: a case study of a New Urbanist project in Eugene, Oregon, USA," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 7(1), pages 1-22, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Aijun & Peng, Dan & Wang, Daoping & Yao, Xin, 2017. "Comparing regional effects of climate policies to promote non-fossil fuels in China," Energy, Elsevier, vol. 141(C), pages 1998-2012.
    2. Yanhong Yin & Yuanwen He & Lei Zhang & Dan Zhao, 2019. "Impact of Building Environment on Residential Satisfaction: A Case Study of Ningbo," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    3. Weiling Wang & Yongjian Wang & Xiaoqing Zhang & Dalin Zhang, 2021. "Effects of Government Subsidies on Production and Emissions Reduction Decisions under Carbon Tax Regulation and Consumer Low-Carbon Awareness," IJERPH, MDPI, vol. 18(20), pages 1-17, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yanhong Yin & Yuanwen He & Lei Zhang & Dan Zhao, 2019. "Impact of Building Environment on Residential Satisfaction: A Case Study of Ningbo," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    2. Yin, Yanhong & Mizokami, Shoshi & Aikawa, Kohei, 2015. "Compact development and energy consumption: Scenario analysis of urban structures based on behavior simulation," Applied Energy, Elsevier, vol. 159(C), pages 449-457.
    3. Schlör, Holger & Venghaus, Sandra & Hake, Jürgen-Friedrich, 2018. "The FEW-Nexus city index – Measuring urban resilience," Applied Energy, Elsevier, vol. 210(C), pages 382-392.
    4. Theresa Kotulla & Jon Martin Denstadli & Are Oust & Elisabeth Beusker, 2019. "What Does It Take to Make the Compact City Liveable for Wider Groups? Identifying Key Neighbourhood and Dwelling Features," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    5. Paul Drummond, 2021. "Assessing City Governance for Low-Carbon Mobility in London," Sustainability, MDPI, vol. 13(5), pages 1-24, February.
    6. Biancamaria Torquati & Giulia Giacchè & Tiziano Tempesta, 2020. "Landscapes and Services in Peri-Urban Areas and Choice of Housing Location: An Application of Discrete Choice Experiments," Land, MDPI, vol. 9(10), pages 1-21, October.
    7. Haque, Md Bashirul & Choudhury, Charisma & Hess, Stephane, 2020. "Understanding differences in residential location preferences between ownership and renting: A case study of London," Journal of Transport Geography, Elsevier, vol. 88(C).
    8. Ulrich B. Morawetz & H. Allen Klaiber, 2022. "Does housing policy impact income sorting near urban amenities? Evidence from Vienna, Austria," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 411-454, October.
    9. Dixit, Manish K., 2017. "Life cycle embodied energy analysis of residential buildings: A review of literature to investigate embodied energy parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 390-413.
    10. Lewis, David J. & Provencher, Bill & Butsic, Van, 2009. "The dynamic effects of open-space conservation policies on residential development density," Journal of Environmental Economics and Management, Elsevier, vol. 57(3), pages 239-252, May.
    11. Sahan T. M. Dissanayake & Amy W. Ando, 2014. "Valuing Grassland Restoration: Proximity to Substitutes and Trade-offs among Conservation Attributes," Land Economics, University of Wisconsin Press, vol. 90(2), pages 237-259.
    12. Yunxi Bai & Jusheng Song & Shanshan Wu & Wei Wang & Jacqueline T. Y. Lo & S. M. Lo, 2020. "Comparing the Impacts of Location Attributes on Residents’ Preferences and Residential Values in Compact Cities: A Case Study of Hong Kong," Sustainability, MDPI, vol. 12(12), pages 1-23, June.
    13. Lu, Ying & Prato, Carlo G. & Sipe, Neil & Kimpton, Anthony & Corcoran, Jonathan, 2022. "The role of household modality style in first and last mile travel mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 95-109.
    14. Smith, Martin D. & Sanchirico, James N. & Wilen, James E., 2009. "The economics of spatial-dynamic processes: Applications to renewable resources," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 104-121, January.
    15. Huang, Yu & Parker, Dawn & Minaker, Leia, 2021. "Identifying latent demand for transit-oriented development neighbourhoods: Evidence from a mid-sized urban area in Canada," Journal of Transport Geography, Elsevier, vol. 90(C).
    16. Wang, Shaojian & Liu, Xiaoping & Zhou, Chunshan & Hu, Jincan & Ou, Jinpei, 2017. "Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities," Applied Energy, Elsevier, vol. 185(P1), pages 189-200.
    17. Walid Oueslati & Seraphim Alvanides & Guy Garrod, 2015. "Determinants of urban sprawl in European cities," Urban Studies, Urban Studies Journal Limited, vol. 52(9), pages 1594-1614, July.
    18. Fang Wang & Wen-Jia Yang & Wei-Feng Sun, 2020. "Heat Transfer and Energy Consumption of Passive House in a Severely Cold Area: Simulation Analyses," Energies, MDPI, vol. 13(3), pages 1-19, February.
    19. León, Carmelo J. & Hernández-Alemán, Anastasia & Fernández-Hernández, Carlos & Araña, Jorge E., 2023. "Are rural residents willing to trade-off higher noise for lower air pollution? Evidence from revealed preferences," Ecological Economics, Elsevier, vol. 207(C).
    20. Sarrias, Mauricio & Daziano, Ricardo A., 2018. "Individual-specific point and interval conditional estimates of latent class logit parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 50-61.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:168:y:2016:i:c:p:291-302. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.