Tax Effort in Developing Countries: Where is Sri Lanka?
Keywords:
Tax Effort, Stochastic Frontier Approach, Sri LankaAbstract
This paper investigates the problem of the declining tax/gross domestic product (GDP) ratio in Sri Lanka by estimating the tax efforts of lower-middle-income countries (LMICs). Using a panel data set from 1990-2014 with two stochastic frontier models, we reveal that Sri Lanka’s tax effort declined during that period. Although the two different stochastic frontier analysis (SFA) models used in this paper produce different tax effort estimates, both models show a decline in tax effort in Sri Lanka. Estimations of personal income tax using available micro-level income data reiterate the low level of tax effort in Sri Lanka at present. We further analyze reasons for the weak tax effort in Sri Lanka and propose appropriate policy recommendations.
References
Aigner, D. J., Knox Lovell, C. A., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21-37. https://doi.org/10.1016/0304-4076(77)90052-5
Aizenman, J., & Jinjarak, Y. (2009). Globalisation and developing countries – A shrinking tax base? The Journal of Development Studies, 45(5), 653-671. https://doi.org/10.1080/00220380802582338
Alfirman, L. (2003). Estimating stochastic frontier tax potential: Can Indonesian local governments increase tax revenues under decentralization? (Discussion Papers in Economics, Working Paper No. 03-19). Boulder, CO: University of Colorado at Boulder. Retrieved from https://www.colorado.edu/economics/sites/default/files/attached-files/wp03-19.pdf
Alonso, J. A., & Garcimartín, C. (2011). Does Aid Hinder Tax Efforts? More Evidence (CREDIT Research Paper, no. 11/04). Nottingham, England: University of Nottingham. Retrieved from https://www.academia.edu/17712859/Does_Aid_Hinder_Tax_Efforts_More_Evidence
Ansari, M. (1982). Determinants of Tax Ratio: A Cross-Country Analysis. Economic and Political Weekly, 17(25), 1035-1042. Retrieved from https://www.jstor.org/stable/4371045?seq=1#references_tab_contents
Battese, G. E., & Coelli, T. J. (1988). Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. Journal of Econometrics, 38(3), 387-399. https://doi.org/10.1016/0304-4076(88)90053-X
Battese, G. E., & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India. Journal of Productivity Analysis, 3(1/2), 153-169. https://doi.org/10.1007/BF00158774
Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20, 325-332. Retrieved from http://pages.stern.nyu.edu/~wgreene/FrontierModeling/Reference-Papers/Battese-Coelli-1995.pdf
Bird, R. M., Martinez-Vazquez, J., & Torgler, B. (2004). Societal institutions and tax effort in developing countries (International Tax Program, Working Paper no. 04011). Retrieved from https://pdfs.semanticscholar.org/1c0d/71dc0ee67fcd2f43ef59dbaf54218ce5424d.pdf
Brun, J. F., & Diakité M. (2016). Tax potential and tax effort: An empirical estimation for non-resource tax revenue and VAT’s revenue (Études et Documents, n° 10). Clermont-Ferrand, France: Centre d'Études et de Recherches sur le Développement International (CERDI). Retrieved from https://halshs.archives-ouvertes.fr/halshs-01332053/document
Buehn, A., & Schneider, F. (2011). Corruption and the shadow economy: Like oil and vinegar, like water and fire? International Tax and Public Finance, 19(1), 172-194. https://doi.org/10.1007/s10797-011-9175-y
Central Bank of Sri Lanka. (2017). Annual report 2016. Colombo: Central Bank of Sri Lanka. Retrieved from https://www.cbsl.gov.lk/en/publications/economic-and-financial-reports/annual-reports/annual-report-2016
Chelliah, R. J., Hessel, J. B., & Margaret, R. K. (1975). Tax ratios and tax effort in developing countries, 1969-71. International Monetary Fund Staff Papers, 22(1), 187-205. DOI: 10.2307/3866592
Cornwell, C., Schmidt, P., & Sickles, R. C. (1990). Production frontiers with cross-sectional and time-series variation in efficiency levels. Journal of Econometrics, 46(1-2), 185-200. https://doi.org/10.1016/0304-4076(90)90054-W
Cyan, M., Martinez-Vazquez, J., & Vulovic, V. (2013). Measuring tax effort: Does the estimation approach matter and should effort be linked to expenditure goals? (International Center for Public Policy, Working Paper no. 13-08). Atlanta, GA: Andrew Young School of Policy Studies, Georgia State University. Retrieved from https://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1038&context=icepp
Davoodi, H. R., & Grigorian, D. A. (2007). Tax potential vs. tax effort: A cross-country analysis of Armenia’s stubbornly low tax collection (IMF Working Paper no. 07/106). Washington, D.C.: International Monetary Fund. Retrieved from https://www.imf.org/external/pubs/ft/wp/2007/wp07106.pdf
Department of Inland Revenue, Sri Lanka. Income Tax Acts. Retrieved from: http://www.ird.gov.lk/en/publications/sitepages/Acts.aspx?menuid=1601
Dreher, A., & Schneider, F. (2010). Corruption and the shadow economy: An empirical analysis. Public Choice, 144(Issue 1-2), 215-238. https://doi.org/10.1007/s11127-009-9513-0
Ehrhart, H. (2009). Assessing the relationship between democracy and domestic taxes in developing countries (Etudes et Documents, no. E 2009.30). Clermont-Ferrand, France: Centre d'Études et de Recherches sur le Développement International (CERDI). Retrieved from https://halshs.archives-ouvertes.fr/halshs-00553607/document
Eltony, M. N. (2002). Determinants of tax efforts in Arab Countries (Arab Planning Institute Working Paper, no. 207). Kuwait: Arab Planning Institute. Retrieved from http://www.arab-api.org/images/publication/pdfs/256/256_wps0207.pdf
Fenochietto, R., & Pessino, C. (2013). Understanding countries’ tax effort (IMF Working Paper no. 13/244. Washington, D.C.: International Monetary Fund. Retrieved from https://www.imf.org/external/pubs/ft/wp/2013/wp13244.pdf
Garg, S., Goyal, A., & Pal, R. (2016). Why tax effort falls short of tax capacity in Indian states: A stochastic frontier approach. Public Finance Review, 45(2), 232-259. https://doi.org/10.1177/1091142115623855
Greene, W. H. (1990). A Gamma-distributed stochastic frontier model. Journal of Econometrics, 46(1-2), 141-163. https://doi.org/10.1016/0304-4076(90)90052-U
Greene, W. H. (2005). Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics, 126(2), 269-303. https://doi.org/10.1016/j.jeconom.2004.05.003
Gupta, A. S. (2007). Determinants of tax revenue efforts in developing countries (IMF Working Paper no. 07/184). Washington, D.C.: International Monetary Fund. Retrieved from https://www.imf.org/en/Publications/WP/Issues/2016/12/31/Determinants-of-Tax-Revenue-Efforts-in-Developing-Countries-21040
Javid, A. Y., & Arif, U. (2012). Analysis of revenue potential and revenue effort in developing Asian countries. The Pakistan Development Review, 51(4), 365-380. Retrieved from http://www.pide.org.pk/pdf/PDR/2012/Volume4/365-380.pdf
Jha, R. (2010). Fiscal policies and challenges in South Asia (ASARC Working Paper 2010/01). Canberra, Australia: Australia South Asia Research Centre (ASARC), Australian National University. Retrieved from https://acbee.crawford.anu.edu.au/acde/asarc/pdf/papers/2010/WP2010_01.pdf
Jondrow, J., Knox Lovell, C. A., Materov, I. S., & Schmidt, P. (1982). On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of Econometrics, 19(2-3), 233-38. https://doi.org/10.1016/0304-4076(82)90004-5
Karakaplan, M. U., & Kutlu L. (2017). Endogeneity in panel stochastic frontier models: an application to the Japanese cotton spinning industry. Applied Economics, 49(59), 5935-5939. https://doi.org/10.1080/00036846.2017.1363861
Keen, M., & Mansour, M. (2009). Revenue mobilization in Sub-Saharan Africa: Challenges from globalization (IMF Working Paper no. 09/157). Washington, D.C.: International Monetary Fund. Retrieved from https://www.imf.org/external/pubs/ft/wp/2009/wp09157.pdf
Kelegama, S. (2010a). Anomalies in the taxation system in Sri Lanka: Need for reform and restructuring. n.p.: Institute of Policy Studies of Sri Lanka. Retrieved from https://www.scribd.com/doc/30433210/Anomalies-of-the-Tax-System-in-Sri-Lanka
Kelegama, S. (2010b, November 21). Tax issues – Current system not delivering needed revenue. Sunday Times. Retrieved from http://www.sundaytimes.lk/101121/BusinessTimes/bt10.html
Kumbhakar, S., & Knox Lovell, C. A. (2000). Stochastic frontier analysis. Cambridge, England: Cambridge University Press. https://doi.org/10.1017/CBO9781139174411
Kumbhakar, S. C., Lien, G., & Hardaker J. B. (2014). Technical efficiency in competing panel data models: a study of Norwegian grain farming. Journal of Productivity Analysis, 41(2), 321-37. https://doi.org/10.1007/s11123-012-0303-1
Kumbhakar S. C., Wang, H.-J., and Horncastle, A.P. (2015). A practitioner’s guide to stochastic frontier analysis using Stata. Cambridge, England: Cambridge University Press. https://doi.org/10.1017/CBO9781139342070
Langford, B., & Ohlenburg, T. (2015, August). Tax revenue potential and effort: An empirical investigation (IGC Working Paper S-43202-UGA-1, version 3). London, England: International Growth Centre. Retrieved from https://www.theigc.org/wp-content/uploads/2016/01/Langford-Ohlenburg-2016-Working-paper.pdf
Le, T.M., Moreno-Dodson, B., & Rojchaichaninthorn, J. (2008). Expanding taxable capacity and reaching revenue potential: Cross-country analysis (World Bank Policy Research Working Paper no, 4559). Washington, D.C.: The World Bank. https://doi.org/10.1596/1813-9450-4559
Leuthold, J. H. (1991). Tax shares in developing countries: A panel study. Journal of Development Economics, 35(1), 173-185. https://doi.org/10.1016/0304-3878(91)90072-4
Lotz, J. R., & Morss, E. R. (1967). Measuring “tax effort” in developing countries. International Monetary Fund Staff Papers, 14(3), 478-499. DOI: 10.2307/3866266
Lotz, J. R., & Morss, E. R. (1970). A theory of tax level determinants for developing countries. Economic Development and Cultural Change, 18(3), 328-341. https://doi.org/10.1086/450436
Medina, L., & Schneider, F. (2018). Shadow economies around the world: What did we learn over the last 20 years? (IMF Working Paper No. 18/17). Washington, D.C.: International Monetary Fund. Retrieved from https://www.imf.org/en/Publications/WP/Issues/2018/01/25/Shadow-Economies-Around-the-World-What-Did-We-Learn-Over-the-Last-20-Years-45583
Ndiaye, M. B. O., & Korsu, R. D. (2011). Tax effort in ECOWAS countries. n.p.: Mimeo. Retrieved from http://www.crepol.org/images/my_pdf/july-paper-09.pdf
Nerudova, D., & Dobranschi, M. (2019). Alternative method to measure the VAT gap in the EU: Stochastic tax frontier model approach. PLoS ONE, 14(1): e0211317. https://doi.org/10.1371/journal.pone.0211317
Pessino, C., & Fenochietto, R. (2010). Determining countries’ tax effort, Hacienda Pública Española/Revista de Economía Pública, 195, 65-87. Retrieved from https://www.academia.edu/9527922/Determining_countries_tax_effort
Presidential Tax Commission. (2010). Presidential Taxation Commission report. Colombo, Sri Lanka: Ministry of Finance.
Schmidt, P., & Sickles, R. C. (1984). Production frontiers and panel data. Journal of Business & Economic Statistics, 2(4), 367-374. https://doi.org/10.1080/07350015.1984.10509410
Shin, K. (1969). International difference in tax ratio. The Review of Economics and Statistics, 51(2), 213-220. https://doi.org/10.2307/1926733
Stevenson, R. E. (1980). Likelihood functions for generalized stochastic frontier estimation. Journal of Econometrics, 13(1), 57-66. https://doi.org/10.1016/0304-4076(80)90042-1
Stotsky, J. G., & WoldeMariam, A. (1997). Tax effort in Sub-Saharan Africa (IMF Working Paper no. 97/107). Washington, D.C.: International Monetary Fund. Retrieved from https://www.imf.org/external/pubs/ft/wp/wp97107.pdf
Tait, A. A., Grätz, W. L. M., & Eichengreen, B. J. (1979). International comparisons of taxation for selected developing countries, 1972–76. International Monetary Fund Staff Papers, 26(1), 123-156. DOI: 10.2307/3866567
Tanzi, V. (1992). Structural factors and tax revenue in developing countries: A decade of evidence. In I. Goldin and L. A. Winters (Eds.), Open economies: Structural adjustment and agriculture (pp. 267-285). Cambridge, England: Cambridge University Press.
Vallés-Giménez, J., & Zarate-Marco, A. (2017). Tax effort of local governments and its determinants: The Spanish case. Annals of Economics and Finance, 18(2), 323-348. Retrieved from http://aeconf.com/Articles/Nov2017/aef180205.pdf
Waidyasekera, D. D. M. (2017). Taxation: Current trends and perspectives. In S. Kelegama (Ed.), Tax policy in Sri Lanka: Economic perspectives (pp. 43-102). Colombo, Sri Lanka: Institute of Policy Studies of Sri Lanka. Retrieved from http://www.ips.lk/wp-content/uploads/2017/10/Tax-Policy-in-SL-ips.pdf
Wijewardena, W. A. (2019, July 08). Sri Lanka’s elevation to upper middle income status: Attainment is welcome but challenges are more. Daily FT. Retrieved from: http://www.ft.lk/columns/Sri-Lanka-s-elevation-to-upper-middle-income-status-Attainment-is-welcome-but-challenges-are-more/4-681449
World Bank (2016). World Bank country and lending groups. Retrieved from https://datahelpdesk.worldbank.org/knowledgebase/articles/906519
Zárate-Marco, A. & Vallés-Giménez, J. (2019). Regional tax effort in Spain. Economics, 13(2019-31), 1-32. http://doi.org/10.5018/economics-ejournal.ja.2019-31
Zarra-Nezhad, M., Ansari, M. A, & Moradi, M. (2016). Determinants of tax revenue: Does liberalization boost or decline it? Journal of Economic Cooperation and Development, 37(2), 103-126. Retrieved from https://www.researchgate.net/publication/309427057_Determinants_of_Tax_Revenue_Does_Liberalization_Boost_or_Decline_It
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