2018 | 34 | 103-127
Article title

Impact of fiscal expansion in South Africa – the case of the Eastern Cape Province

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Aim/purpose – Diagnostics of fiscal challenges facing the Eastern Cape Province’s (one of the nine South African provinces) economy reveals a reduction in the number of tax payers, a decrease in the Eastern Cape revenue share, a growing government expenditure but declining revenue, low growth path, high levels of unemployment, poverty and income inequality. To address these challenges, fiscal policy-makers endorsed efficiency in government revenue collection which, if well managed, will increase revenue by 1.5 percent. This study seeks to investigate the impact of fiscal expansion in the Eastern Cape economy. Design/methodology/approach – This study uses the Social Accounting Matrix (SAM- -Leontief Model) to assess the impact of efficiency in revenue collection in the Eastern Cape Province. The model provides demand-side tax multipliers. The methodology used to develop the SAM database is in line with the most recent 2008 System of National Accounts (SNA) released by the United Nations (SNA 2008) and international best practices. Findings – Tax micro-simulations results indicate that an additional R 1 (one Rand) in the fiscus will have positive impact on economic growth, employment creation, poverty reduction and income inequality. Research implications/limitations – SAM is described as the presentation of SNA accounts in a matrix which elaborates the linkages between the Supply and Use Tables and institutional sector accounts. In many instances, SAMs have been applied to an analysis of interrelationships between structural features of an economy and the distribution of income and expenditure among household groups. The limitation of the model is that it assumes constant return to scale and full employment. Nonetheless, SAM is the economic tool, best when used as a database for a computable general equilibrium model. Originality/value/contribution – The study recommends the use of this method for assessing the impact of regional economy on the entire country because it is a square matrix that quantitatively captures the transactions that occurred between the production sector, private (households), public (government) institutions, other factors, and the rest of the world. This technique is used for the first time to analyze the economy of the Eastern Cape Province in South Africa.
Physical description
  • Senior Economist. ECSECCTax. South African
  • Operational Research (OR). Customs and Excise Institute (TCEI). South African Revenue Service (SARS)
  • A System of National Accounts 2008 (SNA 2008). (2009). New York: European Commission – International Monetary Fund – Organisation for Economic Co-operation and Development – United Nations – World Bank.
  • Alesina, A., Barbiero, O., Favero, C., Giavazzi, F., & Paradisi, M. (2017). The effects of fiscal consolidations: Theory and evidence (NBER Working Paper No. 23385). Cambridge: NBER.
  • Bastagli, F., Coady, D., & Gupta, S. (2012). Income inequality and fiscal policy (IMF staff discussion note, SDN/12/08). Washington, DC: International Monetary Fund.
  • Breisinger, C., Thomas, M., & Thurlow, J. (2009). Social accounting matrices and multiplier analysis: An introduction with exercises. Food Security in Practice Technical Guide 5. Washington, DC: International Food Policy Research Institute.
  • Burrows, L. R., & Botha, A. P. (2013). Explaining the changing input-output multipliers in South African: 1980-2010. Paper presented at the Biennial Conference of the Economic Society of South Africa. 25-27 September 2013, Bloemfontein.
  • Eastern Cape Provincial Treasury. (2017). Government of the Eastern Cape: Provincial Treasury’s annual report. 2016/2017 financial year. Bhisho: Author. Retrieved from
  • Eurostat. (2008). Eurostat Manual of supply, use and Input-Output Tables (Methodologies and Working Papers). Luxembourg: Author.
  • Global Insight. (2017). Regional explorer database. Retrieved from
  • Graham, P., & Round, J. I. (1985). Social accounting matrices: A basis for planning. Washington, DC: World Bank.
  • International Monetary Fund [IMF]. (2015, June). Fiscal policy and long-term growth (Policy paper). Washington, DC: Author. Retrieved from
  • International Monetary Fund [IMF]. (2017). Database. Retrieved from
  • International Organisation of Motor Vehicle Manufacturers [OICA]. (2007). The World’s Automotive Industry. Some key figures. Annual Report 2007. Retrieved from
  • Leontief, W. (1936). Quantitative input-output relations in the economic system of the United States. Review of Economics and Statistics, 18(III), 105-125. doi: 10.2307/1927837
  • Leontief, W. (1974). Structure of the world economy: Outline of a simple input-output formulation. Swedish Journal of Economics, 76, 387-401. doi: 10.2307/3439247
  • Leontief, W. (1986). Input-output economics. 2nd ed. New York: Oxford University Press.
  • Lewis, B. D., & Thorbecke, E. (1992). District-level economic linkages in Kenya: Evidence based on a small regional social accounting matrix. World Development, 20(6), 881-897.
  • McDonald, S., & Punt, C. (2002). A social accounting matrix for the Western Cape. Elsenburg: Department of Agriculture, Western Cape Government.
  • McLennan, W. (2006). Australian national accounts: Introduction to input-output multipliers (Information paper No. 5246.0). Canberra: Australian Bureau of Statistics.
  • Miller, R. E., & Blair, P. D. (2009). Input-output analysis: Foundations and extensions. Cambridge: Cambridge University Press.
  • National Treasury. (2016). Budget review. 2016/2017 financial year. Pretoria: Republic of South Africa.
  • National Treasury. (2017). Budget review. 2017/2018 financial year. Pretoria: Republic of South Africa.
  • OECD. (2015). Construction of OECD inter-country Input-Output table for measuring trade in value-added indicators: Sources and methods. Paris: Author.
  • Onder, H., & Hernandez, F. (2015). Fiscal implications of aging and natural resource dynamics (Background paper for the World Bank’s Aging Research Project for the Russian Federation). Washington, DC: World Bank.
  • Pyatt, G., & Round, J. I. (1985). Social accounting matrices: A basis for planning, file copy 9950. Washington, D.C: The World Bank.
  • Ramon, E., Thomas, V., & Wang, Y. (2010). The effect of fiscal policies on the quality of growth (IEG evaluation brief No. 9). Washington, DC: World Bank.
  • Reinert, K. A., & Roland-Holst, D. W. (1997). Social accounting matrices. In J.F. Francois, & K. A. Reinert (Eds.), Applied methods for trade policy analysis: A handbook (pp. 94-121). Cambridge: Cambridge University Press.
  • Robinson, R. S. (2001). Input-output guidebook: A practical guide for regional economic impact analysis. Moscow: EMSI.
  • South African Reserve Bank [SARB]. (2017). Quarterly bulletin. Pretoria: South African Reserve Bank. Retrieved from
  • South Africa Revenue Service [SARS]. (2017). Tax statistics. Retrieved from
  • Statistics South Africa [Stats SA]. (2017). Various publications released by the National Accounts. Retrieved from
  • Stone, R. (1962). A computable model of economic growth. Volume 2: A social accounting matrix for 1960 (with Alan Brown and others). London: Chapman and Hall.
  • United Nations. (1968). A System of National Accounts. Studies in Methods. Series F, No. 2, Rev. 3, New York. Retrieved from
  • World Bank. (2014). South Africa Economic update. New York, Author.
  • World Bank. (2018). World Economic Outlook. New York, Author.
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