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Boosting tax revenue of Zambian cities with technology

Author

Listed:
  • Kaputula, Mboyonga
  • Oliveira Cunha, Juliana

Abstract

This policy brief explores the need to strengthen the collection of recurrent property taxes and the role of technology for property identification and valuation in Lusaka.

Suggested Citation

  • Kaputula, Mboyonga & Oliveira Cunha, Juliana, 2024. "Boosting tax revenue of Zambian cities with technology," LSE Research Online Documents on Economics 126095, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:126095
    as

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    File URL: http://eprints.lse.ac.uk/126095/
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    References listed on IDEAS

    as
    1. Daniel Ayalew Ali & Klaus Deininger & Michael Wild, 2020. "Using satellite imagery to create tax maps and enhance local revenue collection," Applied Economics, Taylor & Francis Journals, vol. 52(4), pages 415-429, January.
    2. repec:idq:ictduk:18184 is not listed on IDEAS
    3. Roy Kelly & Roland White & Aanchal Anand, 2020. "Property Tax Diagnostic Manual," World Bank Publications - Reports 34793, The World Bank Group.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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