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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. Vincenzo Morabito, 2015. "Big Data and Analytics," Springer Books, Springer, edition 127, number 978-3-319-10665-6, December.
    3. 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.
    4. 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.
    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 & 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.
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    2. 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.
    3. 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.
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    5. Syed Asad Abbas Bokhari & Myeong Seunghwan, 2024. "How Do Institutional and Technological Innovations Influence the Smart City Governance? Focused on Stakeholder Satisfaction and Crime Rate," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
    6. Yung Yau, 2018. "Tripartite Efficacy Beliefs and Homeowner Participation in Multi-Owned Housing Governance," Sustainability, MDPI, vol. 10(9), pages 1-17, September.

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