International Journal of Social Science & Economic Research
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Title:
DETERMINANTS OF VALUE ADDED TAX IN UGANDA
(FINANCIAL YEARS 1999/00 TO 2010/11)

Authors:
NALUKWAGO MILLY ISINGOMA

|| ||

NALUKWAGO MILLY ISINGOMA
Uganda Revenue Authority, Uganda

MLA 8
ISINGOMA, NALUKWAGO MILLY. "DETERMINANTS OF VALUE ADDED TAX IN UGANDA (FINANCIAL YEARS 1999/00 TO 2010/11)." Int. j. of Social Science and Economic Research, vol. 3, no. 11, Nov. 2018, pp. 5753-5798, ijsser.org/more2018.php?id=403. Accessed Nov. 2018.
APA
ISINGOMA, N. (2018, November). DETERMINANTS OF VALUE ADDED TAX IN UGANDA (FINANCIAL YEARS 1999/00 TO 2010/11). Int. j. of Social Science and Economic Research, 3(11), 5753-5798. Retrieved from ijsser.org/more2018.php?id=403
Chicago
ISINGOMA, NALUKWAGO MILLY. "DETERMINANTS OF VALUE ADDED TAX IN UGANDA (FINANCIAL YEARS 1999/00 TO 2010/11)." Int. j. of Social Science and Economic Research 3, no. 11 (November 2018), 5753-5798. Accessed November, 2018. ijsser.org/more2018.php?id=403.

References
[1]. Abibi.F, Musoke.P and Masereka.E (2006)" Assessing the performance of the Value Added Tax in Uganda", Uganda Revenue Authority Study, Kampala.
[2]. Adari, C. S. (1992). Recent Development in Econometric methods; An application to the Demand for money in Kenya, AERC special paper No.15 September, Nairobi African Economic Research Consortium.
[3]. Ansari M. M (1982) determinants of tax ratio; "a cross country analysis" Vikas publication house.
[4]. Ariyo, A. (1997). Productivity of the Nigerian Tax system; 1970 - 1990, Research paper No. 67. Nairobi ; African Economic Research Consortium.
[5]. Barnett, R.R. (1993). " Preference Revelation and Public Goods " In Jackson M.P( Ed) Current issues in Public Sector Economics, London; Macmillan Press Pg. 94 -131
[6]. Bausgaard. T & Keen. M (2005), "Tax Revenue and Trade liberalization "Working paper WP/05/11, International Monetary Fund, Washington Dc.
[7]. Bird R. M. (2005); VAT in Ukraine; Rotman school Of Management; University of Toronto.
[8]. Breusch, T. S. and Godfrey L.G (1981) "A Review of Recent Work on Testing for Autocorrelation in Dynamic Simulation Models", in D. Currie, R. Nobay and D.Peel ed. Macroeconomic Analysis: Essays in Macroeconomics and Econometrics, London, Croom Helm.
[9]. Campbell .T. (2001).Consumer Imports and their impact on Indirect Tax revenue in Barbados.Central Bank of Barbados.
[10]. Cnossen. A. (1981), The Netherlands, the value - added tax; lessons from Europe, The Brookings institute Washington DC.
[11]. Cochran.J.(2005); Time series for macroeconomics and Finance, Graduate School of Business university of Chicago.
[12]. EARATC (2011); East African revenue authorities "Regional Revenue Comparative report 2010/11" by the East African Revenue Authorities Technical Committee.
[13]. Ebrill.L, Keen .M, Bodwin .J, (2001); The Modern VAT.International Monetary Fund, Washington D.C.
[14]. Gallagher .M. (2004).Assessing Tax systems using a benchmarking methodology, Gillis. M. (1990) "The VAT & Financial services" in Gillis, Malcom Carl .
[15]. Gerardo. P. (1990); Value Added Taxation in Developing countries ; a World Bank symposium. The World Bank Washington DC Pg 83-94.
[16]. Glenn .P.& Chun - Yan Kuo (2001); A VAT Revenue Simulation Model for Tax reform in Developing Countries. Harvard institute for international development, Harvard University.
[17]. Glenn .P, Chun-Yan Kuo, & Gangadhar P. (2000) "Tax Analysis& Revenue Forecasting"; issues and techniques; Havard Institute for international development ;Harvard University.
[18]. Gupta A.S.(2007); Determinants of Tax Revenue Efforts in Developing Countries . IMF working paper.
[19]. Kroizing.M. (2003), General to specific Model selection procedures for Structural Vector Auto regressions, Department of Economics and Nutfield College , Oxford University.
[20]. Hendry . D. and Mizon G. (2000); Reformulating empirical macroeconomic modeling. Oxford Review of Economic Policy ,ed,16, Pg138-159.
[21]. Johansen, S (1988). "Statistical Analysis of Co integrating Vectors", Journal of Economic Dynamics and Control, vol.12, no. 213, Pg231-254.
[22]. Johnston, J and Dinardo. J. (1997). Econometric Methods, Fourth Edition, New York; The McGraw - Hill Companies, Inc.
[23]. Kaldor, N. (1964). " Will Underdeveloped Countries Learn How to Tax " Essays on economic policy , Vol 1, London; Gerald Duckworth & company Limited, Pg 253 - 268.
[24]. Kaweesa.C. (2004); Taxation & Investment in Uganda, structure and trend. A paper presented to the business forum in London UK, for investment opportunities in Uganda, Kampala. Uganda Revenue Authority.
[25]. Koutsoyiannis, A(1988). Theory of Econometrics, 2ndedition , London and Basingstoke; Macmillan publishers.
[26]. MOFEPD (2011); Ministry of Finance and Economic Planning; Background to the budget 2010/11 Uganda.
[27]. MOFEPD (2012); Ministry of Finance and Economic Planning; Background to the budget 2011/12 Uganda.
[28]. Moore .D (2005); "Slovakia's 2004 Tax and Welfare Reforms" IMF working paper WP/05/133. International Monetary Fund, Washington, USA
[29]. Muriithi.K and Moyi D.(2003). Tax Reforms and Revenue Mobilization in Kenya. AERC Research Paper 131, Nairobi ; AERC.
[30]. Musgrave, A. (1986) "Samuelson on Public goods 1983". In the Musgrave A.R, (Ed.) public Finance and Democratic Society. Vol II Fiscal Doctrine, Growth and Institutions, Sussex; The Hamster Press Group , Pg. 319 - 334.
[31]. Osoro, N. (1993). Revenue Productivity Implications of Tax reform in Tanzania. Research paper No 20, Nairobi; African Economic Research consortium.
[32]. Ramsey. B. (1969); Tests for Specification Errors in classical linear Least Square Regression Analysis, Journal of the Royal Statistical society series B, 31, pg 350-370.
[33]. Stosky J. and Woldemarian, A ( 1997); " Tax Effort in sub Saharan Africa" IMF Working paper WP/97/107. Washington DC.
[34]. Tait.A.(1988).Value Added Tax; International practice and problems; International monetary Fund, IMF Washington DC.
[35]. Tait.A.( 1991)."VAT Policy issues; structure regressively, inflation and exports. International monetary fund, IMF Washington DC.
[36]. Tanzi. V. (1992), Structural factors and tax revenue in developing countries ; a decade of evidence " in open economies ; structural adjustment and agriculture ; Cambridge University press.
[37]. Teera.M. (2001); Determinants of Tax Revenue Share in Uganda; University of Bath.
[38]. Toye, F. (1978). Taxation and Economic Development, in London, England; Frank Cass& Co. Ltd. London.
[39]. Tuan. M.(2012); Tax base and revenue forecasting; Washington Dc
[40]. Tatiana. S. & Lev .D. (2001) , VAT Revenue Forecasting in Israel, , Ministry of Finance , State Revenue administration.
[41]. Uganda Bureau of Statistics (2002), Statistical Abstract 2001/2002, Uganda
[42]. URA(2009) ; Uganda Revenue Authority, Annual report for 2008/09.
[43]. URA(2010); Uganda Revenue Authority, Annual Revenue Bulletin 2009/10.
[44]. URA(2011); Uganda Revenue Authority, Annual Revenue Bulletin for FY 2010/11.
[45]. URA Taxation Hand Book (2011); A guide to Taxation in Uganda, first published in 2011, Uganda Revenue Authority
[46]. Varian H.R.(1992). Microeconomic Analysis . Third Edition. New York ; W.W. Norton & Company Inc.
[47]. Wawire. A. (2011); Determinants of VAT Revenue in Kenya ; a research presented in March 2011 at St Catherine's College. Kenyan Revenue Authority.
[48]. Wilford, S. and Wilford, T. (1978). "On revenue Performance and Revenue Income Stability in the Third World", Economic Development and Cultural change 26. Pg505 - 523
[49]. Wilford, S. and Wilford.T. (1978). "Estimates of Revenue Elasticity and Buoyancy in Central America; 1955 - 1974", in Toye, J.F.J (Ed), Taxation and Economic Development London; Frank Cass & Co. Ltd. Pg. 83 - 100

Abstract:
The study was undertaken to establish the determinants of VAT in Uganda with an overall objective of establishing which macroeconomic indicators that had an impact on the VAT trends. This was because of a need to expand the revenue take in light of the declining share of Aid in the government finances. This would require improvement of Uganda's VAT productivity by understanding the factors affecting its performance and thus inform policy measures. The macroeconomic indicators considered were government consumption, private consumption, inflation, imports, population density, share of agriculture in GDP and monetary GDP. These variables were transformed in order to improve the normality. Structure stability tests and stationary tests taken revealed that there was no structure break and the variables became stationery after the second differencing except population density. The cointegration tests showed that a linear combination of the variables was stationary hence the existence of a long run relationship. In the long run, population density, increase in VAT rate, and inflation had a positive effect on VAT, while private consumption, government consumption and imports had a negative impact. The Error Correction Model was then estimated and the over parametised model reduced to parsimony. The determinants of VAT in Uganda for the period under study were; private consumption, inflation and imports. Lagged VAT, private consumption and inflation were found to have a significant positive effect on current periods VAT in the short run. It was also established that imports had a significant and positive effect on current VAT after the second lag. Government consumption was found to be insignificant to VAT in Uganda for the period under study. This means that previous levels of tax bases (private consumption, imports and inflation) have a significant influence on the present levels of VAT. The study recommends that in order to improve VAT revenue, government should enhance growth of economic activities to support increase of imports and promote increase in private consumption. Inflation rate should also be considered when projecting VAT collections.