IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i8p2709-d161377.html
   My bibliography  Save this article

Big Data Approach as an Institutional Innovation to Tackle Hong Kong’s Illegal Subdivided Unit Problem

Author

Listed:
  • Yung Yau

    (Department of Public Policy, City University of Hong Kong, Hong Kong, China)

  • Wai Kin Lau

    (Department of Construction Technology and Engineering, Technological and Higher Education Institute of Hong Kong, Hong Kong, China)

Abstract

While applications of big data have been extensively studied, discussion is mostly made from the perspectives of computer science, Internet services, and informatics. Alternatively, this article takes the big data approach as an institutional innovation and uses the problem of illegal subdivided units (ISUs) in Hong Kong as a case study. High transaction costs incurred in identification of suspected ISUs and associated enforcement actions lead to a proliferation of ISUs in the city. We posit that the deployment of big data analytics can lower these transaction costs, enabling the government to tackle the problem of illegal accommodations. We propose a framework for big data collection, analysis, and feedback. As the findings of a structured questionnaire survey reveal, building professionals believed that the proposed framework could reduce transaction costs of ISU identification. Yet, concerns associated with the big data approach like privacy and predictive policing were also raised by the professionals.

Suggested Citation

  • Yung Yau & Wai Kin Lau, 2018. "Big Data Approach as an Institutional Innovation to Tackle Hong Kong’s Illegal Subdivided Unit Problem," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2709-:d:161377
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/8/2709/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/8/2709/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oliver E. Williamson, 2000. "The New Institutional Economics: Taking Stock, Looking Ahead," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 595-613, September.
    2. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    3. Miltiadis D. Lytras & Anna Visvizi, 2018. "Who Uses Smart City Services and What to Make of It: Toward Interdisciplinary Smart Cities Research," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    4. Vincenzo Morabito, 2015. "Big Data and Analytics," Springer Books, Springer, edition 127, number 978-3-319-10665-6, June.
    5. van der Burg, Tsjalle, 2000. "Neo-classical economics, institutional economics and improved fisheries management," Marine Policy, Elsevier, vol. 24(1), pages 45-51, January.
    6. Miltiadis D. Lytras & Vijay Raghavan & Ernesto Damiani, 2017. "Big Data and Data Analytics Research: From Metaphors to Value Space for Collective Wisdom in Human Decision Making and Smart Machines," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 13(1), pages 1-10, 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. Lei Wang & Mengke Yang & Zulfiqar Hussain Pathan & Shafaq Salam & Khuram Shahzad & Jianqiu Zeng, 2018. "Analysis of Influencing Factors of Big Data Adoption in Chinese Enterprises Using DANP Technique," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    2. Seunghwan Myeong & Syed Asad Abbas Bokhari, 2023. "Building Participative E-Governance in Smart Cities: Moderating Role of Institutional and Technological Innovation," Sustainability, MDPI, vol. 15(20), pages 1-23, October.
    3. Hameeda A. AlMalki & Christopher M. Durugbo, 2023. "Systematic review of institutional innovation literature: towards a multi-level management model," Management Review Quarterly, Springer, vol. 73(2), pages 731-785, June.
    4. Yung Yau, 2018. "Tripartite Efficacy Beliefs and Homeowner Participation in Multi-Owned Housing Governance," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    5. Russell Tatenda Munodawafa & Satirenjit Kaur Johl, 2019. "Big Data Analytics Capabilities and Eco-Innovation: A Study of Energy Companies," Sustainability, MDPI, vol. 11(15), pages 1-21, August.

    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. Yanfang Zhang & Mushang Lee, 2019. "A Hybrid Model for Addressing the Relationship between Financial Performance and Sustainable Development," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    2. Miltiadis D. Lytras & Anna Visvizi & Akila Sarirete, 2019. "Clustering Smart City Services: Perceptions, Expectations, Responses," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    3. Sunmin Lee & Yunjung Hyun & Moung-Jin Lee, 2019. "Groundwater Potential Mapping Using Data Mining Models of Big Data Analysis in Goyang-si, South Korea," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    4. Patricia Ordóñez de Pablos & Miltiadis Lytras, 2018. "Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness," Sustainability, MDPI, vol. 10(6), pages 1-7, June.
    5. Kwok Tai Chui & Miltiadis D. Lytras & Anna Visvizi, 2018. "Energy Sustainability in Smart Cities: Artificial Intelligence, Smart Monitoring, and Optimization of Energy Consumption," Energies, MDPI, vol. 11(11), pages 1-20, October.
    6. Alessandro Crivellari & Euro Beinat, 2020. "LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists," Sustainability, MDPI, vol. 12(1), pages 1-18, January.
    7. Vasile Gherheș & Ciprian Obrad, 2018. "Technical and Humanities Students’ Perspectives on the Development and Sustainability of Artificial Intelligence (AI)," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
    8. Yi-Zeng Hsieh & Shih-Syun Lin & Yu-Cin Luo & Yu-Lin Jeng & Shih-Wei Tan & Chao-Rong Chen & Pei-Ying Chiang, 2020. "ARCS-Assisted Teaching Robots Based on Anticipatory Computing and Emotional Big Data for Improving Sustainable Learning Efficiency and Motivation," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    9. Citera, Emanuele & Sau, Lino, 2019. "Complexity, Conventions and Instability: the role of monetary policy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201924, University of Turin.
    10. Eicher, Theo S. & Schreiber, Till, 2010. "Structural policies and growth: Time series evidence from a natural experiment," Journal of Development Economics, Elsevier, vol. 91(1), pages 169-179, January.
    11. Engelhardt, Sebastian v. & Freytag, Andreas, 2013. "Institutions, culture, and open source," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 90-110.
    12. Osei-Tutu, Francis & Weill, Laurent, 2023. "Individualism reduces borrower discouragement," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 370-385.
    13. Nastasi, Federico & Spagano, Salvatore, 2023. "Institutionalist Clues in Celso Furtado’s Economic Thought," MPRA Paper 120242, University Library of Munich, Germany.
    14. Evans, Lewis & Meade, Richard, 2005. "The Role and Significance of Cooperatives in New Zealand Agriculture, A Comparative Institutional Analysis," Working Paper Series 3847, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    15. Schmitz, Patrick W., 2021. "On the optimality of outsourcing when vertical integration can mitigate information asymmetries," Economics Letters, Elsevier, vol. 202(C).
    16. Roberto Foa & Anna Nemirovskaya & Elena Mostovova, 2013. "Internal Empires I: Social Institutions of the Frontier," HSE Working papers WP BRP 09/SOC/2013, National Research University Higher School of Economics.
    17. Aseem Kaul & Jiao Luo, 2018. "An economic case for CSR: The comparative efficiency of for‐profit firms in meeting consumer demand for social goods," Strategic Management Journal, Wiley Blackwell, vol. 39(6), pages 1650-1677, June.
    18. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2016. "Long-Term Persistence," Journal of the European Economic Association, European Economic Association, vol. 14(6), pages 1401-1436, December.
    19. Kim, Jongwook & Mahoney, Joseph T., 2008. "A Strategic Theory of the Firm as a Nexus of Incomplete Contracts: A Property Rights Approach," Working Papers 08-0108, University of Illinois at Urbana-Champaign, College of Business.
    20. Catherine Locatelli & Sylvain Rossiaud, 2011. "A neoinstitutionalist interpretation of the changes in the Russian oil model," Post-Print halshs-00631115, HAL.

    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:gam:jsusta:v:10:y:2018:i:8:p:2709-:d:161377. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.