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The Value Added Tax (VAT) analysis for Uganda. (2018). Lakuma, Corti ; Sserunjogi, Brian.
In: Research Series.
RePEc:ags:eprcrs:280622.

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  1. Determinants of Value Added Tax in Oman. (2022). Rashid, Noof Amur ; Thottoli, Mohammed Muneerali.
    In: Journal of Tax Reform.
    RePEc:aiy:jnljtr:v:8:y:2022:i:2:p:157-169.

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  2. The Greek VAT Gap: The Influence of Individual Economic Sectors. (2021). Thalassinos, El ; Eleftherios, Thalassinos ; Spyros, Papadakis ; Ioannis, Lomis ; Nikolaos, Eriotis ; Anna, Christou.
    In: European Research Studies Journal.
    RePEc:ers:journl:v:xxiv:y:2021:i:4b:p:851-882.

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  3. The Greek VAT Gap: The Influence of Individual Economic Sectors. (2021). Thalassinos, El ; Eleftherios, Thalassinos ; Spyros, Papadakis ; Ioannis, Lomis ; Nikolaos, Eriotis ; Anna, Christou.
    In: European Research Studies Journal.
    RePEc:ers:journl:v:xxiv:y:2021:i:4-part2:p:851-882.

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  1. Accrued collection Accrued collections were calculated as the sum of [1] payments reallocated to the tax period starting each financial year; [2] excess credits declared in the tax period starting each financial year; and [3] payments at Customs during each financial year. Reallocation of payments to tax periods was based on individual payment data from 2009/10 to 2016/17, and the reallocation of excess credits was based on individual VAT declaration data for the period.
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  2. April 2013 99 Okoboi Geoffrey Kuteesa Annette &Barungi Mildred The Impact Of The National Agricultural Advisory Services Program On Household Production And Welfare In Uganda.
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  3. Billions 2010/11 2011/12 2012/13 2013/14 2014/15 2015/16 2016/17 Health and Social work Total 109.52 90.06 59.84 50.68 73.45 126.68 77.06 Vector Control --16.64 -17.54 --Dental & Vet Equip. -0.01 1.90 16.45 -0.09 1.94 Medical& Vet. Service 24.84 20.80 20.55 16.63 22.51 33.01 1.96 Social Services 0.18 0.21 0.15 3.99 0.19 -0.47 *Drugs and Medicine 84.5 69.04 20.6 13.61 33.21 20.13 19.46 Tourism Total 6.29 5.85 12.19 11.91 1.26 1.43 1.43 Accommodation 6.29 5.85 12.19 11.91 1.26 1.43 1.43 Financial and Insu. Total 152.56 75.51 151.85 138.43 6.88 238.39 2.52 Financial services 151.63 72.45 144.51 138.43 0.12 227.6 2.52 Insurance Services 0.93 3.06 7.34 -6.76 3.91 -
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  4. D. Data Used in the VAT gap Model For estimating potential VAT revenues Supply and use tables, 2009/10 (UBoS; provided in November 2017) Capital formation by general government, 2009/10 - 2016/17 (GFS, downloaded in November 2017). National Income and Product, 2009/10 - 2016/17 (UBoS; provided in November 2017). Sector output and input, 2009/10- (UBoS; provided in November 2017). Imports and exports by commodities 2009/10-2016/17 (Customs; provided in November 2017). Customs declaration for imports 2009/10-2016/17 (Customs; provided in November 2017).
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  5. December 2013 110 Bategeka Lawrence et ; UN Wider Overcoming The Limits Of Institutional Reforms In Uganda September 2013 109 Munyambonera Ezra Nampewo Dorothy , Adong Annet & Mayanja Lwanga Musa Access And Use Of Credit In Uganda: Unlocking The Dilemma Of Financing Small Holder Farmers.

  6. December 2013 111 Mawejje Joseph & Bategeka Lawrence Accelerating Growth And Maintaining Intergenerational Equity Using Oil Resources In Uganda.

  7. DeMooj and Keen (2012), ‘Fiscal Devaluation’ and Fiscal Consolidation: The VAT in Troubled Times,” National Bureau of Economic Research Working Paper No. 17913, March 2012. See also IMF Working Paper 12/85.

  8. European Commission (2008),’ European Manual of Supply, Use and Input – Output Tables’, Eurostat Methodologies and Working Papers.
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  9. GoU (2017), ‘The Value Added Tax (amendment) Act, 2016’, Government of Uganda (GoU) Hutton, E., Thackray, M. and Wingender, P. (2014),’ Revenue Administration Gap Analysis Program—The Value-Added Tax Gap- Uganda’, International Monetary Fund (IMF) MoFPED (various years),’Background to the Budget’, Ministry of Finance, Planning and Economic Development (MoFPED) Lakuma, C. and Lwanga, M. (2017), ‘Linking budgets to plans in a constrained institutional and resource environment: The Case of Uganda’, EPRC Research Series No. 131.
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  10. June 2013 105 Shinyekwa Isaac & Mawejje Joseph Macroeconomic And Sectoral Effects Of The EAC Regional Integration On Uganda: A Recursive Computable General Equilibrium Analysis.

  11. June 2013 107 Barungi Mildred & Kasirye Ibrahim Improving Girl’s Access To Secondary Schooling A Policy Simulation For Uganda June 2013 106 Ahaibwe Gemma, Mbowa Swaibu & Mayanja Lwanga Musa Youth Engagement In Agriculture In Uganda: Challenges And Prospects.

  12. June 2013 108 Ahaibwe Gemma & Kasirye Ibrahim HIV/AIDS Prevention Interventions In Uganda: A Policy Simulation.

  13. Lwanga, M.M., Lakuma, C. P., Sserunjogi, B., Shinyekwa, I. (2018),’ Boosting Domestic Revenue Mobilisation in Uganda’, EPRC Research Series No. 140.

  14. March 2013 98 Adong Annet, Mwaura Francis &Okoboi Geoffrey What Factors Determine Membership To Farmer Groups In Uganda? Evidence From The Uganda Census Of Agriculture 2008/9. January 51, Pool Road, Makerere University Campus, P . O. Box 7841 Kampala, Uganda Tel: +256414541023/4 Fax: +256414541022 Email: eprc@eprcug.org, www.eprcug.org TWITTER:@EPRC_official www.facebook.com/EPRCUganda eprcug.org/blog

  15. May 2013 100 Shinyekwa Isaac & Othieno Lawrence Comparing The Performance Of Uganda’s Intra-East African Community Trade And Other Trading Blocs: A Gravity Model Analysis.

  16. May 2013 101 Bategeka Lawrence, Kiiza Julius & Kasirye Ibrahim Institutional Constraints To Agriculture Development In Uganda.

  17. May 2013 102 Kasirye Ibrahim Constraints To Agricultural Technology Adoption In Uganda: Evidence From The 2005/06-2009/10 Uganda National Panel Survey.

  18. May 2013 103 Mwaura Francis Economic And Social Upgrading In Tourism Global Production Networks: Findings From Uganda.

  19. May 2013 104 Shinyekwa Isaac Economic And Social Upgrading In The Mobile Telecommunications Industry: The Case Of MTN.

  20. Print. 4.27 2.39 0.59 14.54 -0.05 -21 ECONOMIC POLICY RESEARCH CENTRE - EPRC The Distributional Impacts of Fiscal Consolidation in Uganda Table A1: VAT Exempt and Zero-rated list 2010/11 to 2016/17, Ug.Shs.
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  21. Real Estate Total 1.41 1.26 3.29 10.41 3.2 4.92 23.80 Sale, rental and lease 1.41 1.26 3.29 10.41 3.2 4.92 23.80 745.94 605.79 619.75 343.1 128.79 446.88 180.33 Exemption 539.14 446.78 531.97 231.87 95.09 406.94 151.49 Zero-Rated 206.80 159.01 87.78 111.23 33.70 39.94 28.84 Source: Own calculations on data from URA December, 2017. *
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  22. Tax collections data (aggregate) Monthly cash collection of VAT 2010/11-2016/17 (URA; provided in November 2017) [For calculating Accrued VAT collections] (Anonymized). VAT payments and refunds from July 2010/11 to June 2016/17 (URA; provided in November 2017). VAT returns from July 2010/11 to June 2016/17 (URA; provided in November 2017). Customs Import VAT declaration from 2010/11 to 2016/17 (URA; provided in November 2017).
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  23. Treatment of transactions under VAT threshold The VAT registration threshold was raised from Ug.Shs 50 million to Ug.Shs 150 million in 2015/16. Since there is no reliable data about the economic activities under the threshold, it is assumed that 10% of value added produced in the wholesale and retail sector and hotel and restaurant sector was produced by the vendors under the threshold of VAT, and their sales was not purchased by VAT registrants. C. Measurement of Actual Collections for VAT Aggregate cash collection Cash collections were based on monthly collection data provided by URA. The data consists of gross 26 Marked with stars* cash collections for domestic VAT, refund, and cash collections for import VAT.
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