IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v99y2019i3d10.1007_s11069-019-03802-1.html
   My bibliography  Save this article

Energy consumption by rural migrant workers and urban residents with a hukou in China: quality-of-life-related factors and built environment

Author

Listed:
  • Ying Jiang

    (Hiroshima University)

  • Linghan Zhang

    (Hiroshima University)

  • Junyi Zhang

    (Hiroshima University)

Abstract

This paper compares energy consumption (electricity, gasoline, and gas) by rural migrant workers and urban residents with a hukou (a China-specific household registration system) and influential factors (including quality-of-life [QOL]-related factors, built environment, and individual and household attributes) in China. A questionnaire survey was conducted in Dalian (a coastal city) in 2014 and in Guiyang (an inland city) in 2015, respectively. A zero-inflated negative binomial (ZINB) model was applied to understand whether and how much people consume a certain type of energy. The results showed that built environment explains 8.4–21.8% and 6.3–41.4% of the total variance in energy consumption by rural migrant workers and urban residents with a hukou. The corresponding variance related to QOL-related factors was 9.1–15.8% and 4.1–22.6%, respectively. The built environment was mostly associated with electricity consumed by urban residents with a hukou, while its influences on other types of energy consumption were moderate. Mixed effects of both built environment and QOL-related factors on reducing energy consumption were observed. Thus, it is context-sensitive whether and how much compact city development and social security policy affect residents’ energy consumption.

Suggested Citation

  • Ying Jiang & Linghan Zhang & Junyi Zhang, 2019. "Energy consumption by rural migrant workers and urban residents with a hukou in China: quality-of-life-related factors and built environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1431-1453, December.
    • Handle: RePEc:spr:nathaz:v:99:y:2019:i:3:d:10.1007_s11069-019-03802-1
    DOI: 10.1007/s11069-019-03802-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-019-03802-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-019-03802-1?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Junyi Zhang, 2014. "Revisiting residential self-selection issues: A life-oriented approach," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 29-45.
    2. Dreger, Christian & Zhang, Yanqun, 2017. "The Hukou Impact on the Chinese Wage Structure," IZA Discussion Papers 10720, Institute of Labor Economics (IZA).
    3. Zhao, Chenyue & Zhou, Xudong & Wang, Feng & Jiang, Minmin & Hesketh, Therese, 2017. "Care for left-behind children in rural China: A realist evaluation of a community-based intervention," Children and Youth Services Review, Elsevier, vol. 82(C), pages 239-245.
    4. Ning, Guangjie & Qi, Wei, 2017. "Can self-employment activity contribute to ascension to urban citizenship? Evidence from rural-to-urban migrant workers in China," China Economic Review, Elsevier, vol. 45(C), pages 219-231.
    5. Ward, Ian C., 2008. "What are the energy and power consumption patterns of different types of built environment?," Energy Policy, Elsevier, vol. 36(12), pages 4622-4629, December.
    6. William H. Greene, 1994. "Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models," Working Papers 94-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    7. Lizhen Xu & Andrew D Paterson & Williams Turpin & Wei Xu, 2015. "Assessment and Selection of Competing Models for Zero-Inflated Microbiome Data," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-30, July.
    8. Zhiming Cheng & Ingrid Nielsen & Russell Smyth, 2013. "Access to Social Insurance in Urban China: A Comparative Study of Rural-Urban and Urban-Urban Migrants in Beijing," Monash Economics Working Papers 05-13, Monash University, Department of Economics.
    9. Jing-Li Fan & Hua Liao & Bao-Jun Tang & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2016. "The impacts of migrant workers consumption on energy use and CO 2 emissions in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 725-743, March.
    10. Anderson, John E. & Wulfhorst, Gebhard & Lang, Werner, 2015. "Energy analysis of the built environment—A review and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 149-158.
    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. Zhiwu Zhou & Julián Alcalá & Víctor Yepes, 2021. "Optimized Application of Sustainable Development Strategy in International Engineering Project Management," Mathematics, MDPI, vol. 9(14), pages 1-29, July.
    2. Li, Chao & Zhang, Yuhan & Li, Xiang & Hao, Yanwei, 2024. "Artificial intelligence, household financial fragility and energy resources consumption: Impacts of digital disruption from a demand-based perspective," Resources Policy, Elsevier, vol. 88(C).

    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. Cornelia Lawson, 2013. "Academic Inventions Outside the University: Investigating Patent Ownership in the UK," Industry and Innovation, Taylor & Francis Journals, vol. 20(5), pages 385-398, July.
    2. Rui Baptista & Joana Mendonça, 2010. "Proximity to knowledge sources and the location of knowledge-based start-ups," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 5-29, August.
    3. Mozhaeva, Irina, 2022. "Inequalities in utilization of institutional care among older people in Estonia," Health Policy, Elsevier, vol. 126(7), pages 704-714.
    4. Wang, Yang & Zhang, Shanhong & Chow, David & Kuckelkorn, Jens M., 2021. "Evaluation and optimization of district energy network performance: Present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    5. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    6. Christopher J. W. Zorn, 1998. "An Analytic and Empirical Examination of Zero-Inflated and Hurdle Poisson Specifications," Sociological Methods & Research, , vol. 26(3), pages 368-400, February.
    7. Agrawal, Ajay & Cockburn, Iain, 2003. "The anchor tenant hypothesis: exploring the role of large, local, R&D-intensive firms in regional innovation systems," International Journal of Industrial Organization, Elsevier, vol. 21(9), pages 1227-1253, November.
    8. Timothy C. Haab, "undated". "A Utility Based Repeated Discrete Choice Model of Consumer Demand," Working Papers 9611, East Carolina University, Department of Economics.
    9. Niklas Elert, 2014. "What determines entry? Evidence from Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 55-92, August.
    10. Boubaker, Sabri & Labégorre, Florence, 2008. "Ownership structure, corporate governance and analyst following: A study of French listed firms," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 961-976, June.
    11. Wenyuan Liu & Ting Ren, 2021. "Family ties and employment behavior: The role of financial intermediaries," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 48-75, February.
    12. Simen G. Enger & Fulvio Castellacci, 2016. "Who gets Horizon 2020 research grants? Propensity to apply and probability to succeed in a two-step analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1611-1638, December.
    13. Payandeh Najafabadi Amir T. & MohammadPour Saeed, 2018. "A k-Inflated Negative Binomial Mixture Regression Model: Application to Rate–Making Systems," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 12(2), pages 1-31, July.
    14. Abbas Moghimbeigi & Mohammed Reza Eshraghian & Kazem Mohammad & Brian Mcardle, 2008. "Multilevel zero-inflated negative binomial regression modeling for over-dispersed count data with extra zeros," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(10), pages 1193-1202.
    15. Delbosc, Alexa & Nakanishi, Hitomi, 2017. "A life course perspective on the travel of Australian millennials," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 319-336.
    16. Nicolas Carayol, 2006. "La production de brevets par les chercheurs et enseignants-chercheurs.. Le cas de l'université Louis Pasteur," Economie & Prévision, La Documentation Française, vol. 0(4), pages 117-134.
    17. Levan Elbakidze & Rodolfo M. Nayga Jr. & Hao Li & Chris McIntosh, 2014. "Value elicitation for multiple quantities of a quasi-public good using open ended choice experiments and uniform price auctions," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 253-265, March.
    18. Jinyoung Kim & Kanghyock Koh, 2014. "Incentives for Journal Editors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(1), pages 348-371, February.
    19. Philippe Aghion & Richard Blundell & Rachel Griffith & Peter Howitt & Susanne Prantl, 2009. "The Effects of Entry on Incumbent Innovation and Productivity," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 20-32, February.
    20. List, John A., 2001. "US county-level determinants of inbound FDI: evidence from a two-step modified count data model," International Journal of Industrial Organization, Elsevier, vol. 19(6), pages 953-973, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:nathaz:v:99:y:2019:i:3:d:10.1007_s11069-019-03802-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.