MPRA Tax Rates And Tax Evasion In Tanzania 2015

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Munich Personal RePEc ArchiveTax Rates and Tax Evasion: Evidencefrom Missing Imports in TanzaniaEpaphra, Manamba2015Online at https://mpra.ub.uni-muenchen.de/62328/MPRA Paper No. 62328, posted 23 Feb 2015 18:25 UTC

Tax Rates and Tax Evasion: Evidence from MissingImports in TanzaniaManamba Epaphra*Institute of Accountancy ArushaP.O. Box 2798, Arusha, Tanzaniaemanamba@iaa.ac.tz or malugu 007@yahoo.comAbstractTax evasion is the basic characteristic of many developing countries. De facto taxcollections are consequently far below revenue implied by published or de jure taxrates. This paper empirically examines tax rates (tariff plus VAT rates) as thedeterminants of customs revenue evasion across products, based on a systematicanalysis of discrepancies in trade declarations for trading partners, United Republicof Tanzania, Republic of South Africa and China. The results indicate that tradegap is highly correlated with tax rates, that is, much more value is lost for productswith higher tax rates. The results also show that the trade gap is correlated with taxrates on closely related products from Republic of South Africa, implying thatevasion takes place through misclassification of imports from higher-taxedcategories to lower-taxed ones. However, there is no evidence of misclassificationof imports from China. The wide divergences between the effective and statutorytax rates in Tanzanian tax system indicate that there is a scope for raising taxrevenue without increasing tax rates by reinforcing tax and customs administrationsand reducing tax evasion.Keywords: tax evasion, imports, tariff rate, and import VATJEL: H20, H26*The author thanks Prof. Michael O. Ndanshau for his useful comments.1

1. IntroductionUnderground economies are considered to characterize most less developingcountries (LDCs)(Johnson et al., 1997, 1998). According to Schneider andEnste (2000) during the 1994-1995 period, the underground economy in LDCswas 39 percent of GDP, compared to 35 percent of GDP in countries of theformer Soviet Union, and 20.9 percent in Eastern Europe. On average, the sizeof the informal economy in Africa in 2010 was estimated at 40.3 percent ofGDP (Schneider et. al, 2010). In Tanzania, the underground economy isestimated at 56.4 percent, a figure that is closely similar to 58.3 percent inZimbabwe, and 55.2 percent in Nigeria (Figure 1.1).The underground economy in Tanzania and most other LDCs is, among others,characterized by unreported and/or underreported legal activities (Johnson etal., 1997, 1998). The general accepted reason for existence and flourish ofunderreporting is to avoid high tax rates. The prohibitive high tax rates areargued to force firms to hide their activities in the “shadow”. Other causes ofunreported and/or underreported activities include predatory behaviour ofgovernment officials, escaping extortion by criminal gangs, and inadequacy ofinstitutional environment or weak contract enforcement (Johnson et al.,1999).The purpose of this paper is to examine the relationship between official taxrates and tariff evasion in Tanzania. The paper quantifies the effects of officialtax rates on tariff evasion by examining the relationship in Tanzania betweenthe tariff schedule and the evasion gap defined as the difference betweenexporting countries’ reported exports to Tanzania at the product level andTanzania’s reported imports from exporting countries.† The paper provides a†The paper considered South Africa, China, and UAE as major trading partners to Tanzania2

Figure 1.1: Shadow Economy in Africa (Percent of GDP), 2010(Ranked by Total Tax Evaded)Notes: Data on the size of shadow economies came from a World Bank working paper; by Friedrich Schneider, Andreas Buehn and Claudio E.Montenegro. Published in July, 20103

framework for policy makers to know the significant relationship betweentax rates and evasion in evaluation of alternative tax policies because taxrates are instruments that can be manipulated for policy goals and becausethat rate changes may have a substantial impact on evasion.2. Tax Rates, Undervaluation of Imports and Tax EffortIt is widely recognized that one of the objectives of tax reforms is toimprove the efficiency of the tax administration and hence reduce taxevasion. Although the empirical evidence is mixed it seems that tax reformmeasures in some developing countries have not helped to reduce taxevasion (Fjeldstad and Rakner, 2003). One important area where taxevasion has been reported to be a severe problem in sub-Saharan Africa(SSA) is customs duties (Levin and Widell, 2007). For example, study byArndt and Tarp, 2003 on efficiency and equity gains from trade policyreforms in Mozambique shows that actual tariff revenue in 1997 wasslightly less than 40 percent of the level projected by the de jure tariff rateand estimated import volume. A study by Mpango (1996) shows that themagnitude of deliberate aggregate under-invoicing of imports in Tanzaniais about 20 percent induced by high scheduled tariff rates, vigorousexchange rate adjustment, low salaries and minimum incentives offered tothe customs staff.Moreover, the confederation of Tanzania industries (CTI) shows that thevalue of lost revenues from customs and sales tax due to misclassificationand undervaluation of imported goods amounted to more than Tshs. 250billion for the period between March 1993 and March 1994 (Osoro et al.,1999). Official statistics on reported revenue from customs duties alsoindicate substantial leakages. While the most prevalent official customsduties in the period 1993–2011 were between 6.6 and 18 percent, thereported duties as a percentage of official import value were between 4.5and 11.6 per cent (Table 2.1). In the years 1993, 2006, and 2010 this figure4

fell below 5 per cent. A significant positive relationship between taxevasion and tariff rates is reported by many studies, and the argument hasbeen that as tariff rates increase, the proportion of official rates that isactually collected falls.3Table 2.1: Statutory Tariff Rates and Collected Tariff Rates, 1993-2011Statutory 2008200920102011Collected .0Difference betweenStatutory andCollected Tariff urces: Based on data from the Tanzania Revenue Authority and Bank of TanzaniaThe Government of Tanzania expected that reduced statutory rates wouldcontribute to reduced tax evasion and therefore raise tax revenue;however, the wide divergences between the collected tariff rates andstatutory tax rates in the Tanzanian tax system indicate that tax evasion isstill an endemic problem, which appears to be substantial and widespread.A major problem in this respect is undervaluation of imported goods,3Ebrill, L., J. Stotsky, and R. Gropp (1999) and Pritchett, L., and G. Sethi (1994) define collected tariffrate as the ratio of import duties to the value of imports. The measure is based on how much tariff revenueis actually collected.5

which applies to most own-funds imports. This is due to the fact that theimporter has access to foreign exchange without going through Bank ofTanzania records. Moreover, administrative constraints and corruption atentry points increase the problem of undervaluation of imported goods(Basu and Morrissey, 1993).As Tanzania and other low-income countries rely on trade taxes as animportant source of revenue, evasion of import duties has attracted a lot ofattention from policy makers. Estimates of this missing revenue are almostinvariably large enough to be of macroeconomic interest. An IMF's staffreview of various countries’ experiences finds that nearly half of the lowincome countries that cut their tariff rates due to trade liberalization, andsuffered an associated revenue loss, recovered less than 70 percent of thelost revenue from other sources (IMF survey, 2005). This finding isconsistent with the stylized fact that tax evasion and a large informal sectorlimit the amount of revenue government can rise from other sources(Acharya, 1985; de Soto, 1989; and Bearser et al., 2000).Tanzania’s tax effortcompares unfavourably to many other sub-SaharanAfrican countries. Figure 2.1 shows that some countries collect as little ashalf of what they would be expected to, while others collect up to 2 to 3times what they would be expected to. Twenty-four countries have a taxeffort index (including resource-related tax revenues) higher than 1.Eighteen countries (out of 42 African countries) including Tanzania haveindices lower than 1. A low tax effort ratio, below one, indicates thatTanzania is collecting less tax than predicted.6

Figure 2.1: Tax Effort across African Countries in 2007Notes: (*) 2006 data , (**) The tax effort measures of Botswana, Lesotho, Namibia and Swaziland reflect their membership in the Southern AfricanCustoms Union (SACU), which collects customs duties centrally and redistributes them amongst members.Source: AEO country surveys, 2010.7

The slow growth in the overall revenue in Tanzania has raised seriousconcerns over the years. The tax system fails to capture potential revenuesfrom economic activities due to the size and fast growth of the informalsector. The economy of Tanzania is mainly characterized by low per capitaincome and based on subsistence agriculture, which is difficult to tax. Theformal sector, which is generally easier to tax, is limited to some large scalefarms producing agricultural products for export, minerals, and some largemanufacturing enterprises such as for beer, non-alcoholic drinks, tobacco,and other commodities. However, to the extent that the formal sector buysfrom informal sector, this may also impair tax administration (Ebrill et al.,1997). The presence of large inefficient state-owned enterprises also limitsrevenue collection. At the same time sluggish private sector growth has notgenerated enough revenue to compensate for revenue loss from theshrinking parastatal sector (World Bank, 1996). In addition to poor taxstructure, Tanzania’s tax system is characterized by weak tax and customsadministration such as weak management practices and weak lawenforcement, which impair efforts to raise revenue (Osoro, 1995; Fjeldstad,2002).The value of revenue loss from customs and other sources due tosmuggling and undervaluation of imported goods is widespread taxadministrative is weak. For example, customs revenue loss in 1993-1994amounted to 2.5 times higher than reported customs revenue (Fjeldstad,2002). According to ESRF (1996), official import statistics underreport thevalue of imports by as much as 70 percent. Gray et al. (2001), estimate thatthe magnitude of evasion of import taxes alone averages 2.1 percent ofGDP.The potential gain from involvement in tax evasion could be considerableboth for officials and taxpayers. Relatively high rates and a complex and8

partly incoherent set of rules result in large potential rewards for taxpayerswilling to bribe to cut their own tax burden and/or speed up customsclearance of their goods. For customs officials, the bribes taken for clearingspecific containers in Dar es Salaam harbour could be as much as a wholeyear’s salary (Fjeldstad, 2002). Maliyamkono and Bagachwa (1990) arguethat, generally, high tax rates combined with deteriorating economicsituation have tended to shift production towards those activities that aredifficult to the tax net. In this connection, one can argue that the emergenceof the underground economy has partly been a consequence of tax evasion(Osoro, 1995).Despite quite comprehensive changes in tax structure (rates and bases)after 1998, the tax system in Tanzania is still complicated and relativelynon-transparent (Osoro et al., 1999). Tax legislation is unclear and causesrandom and partly ad hoc collection procedures (Luoga, 2002). Thissituation is costly for enterprises and provides strong incentives to paycustoms officers for a speedier service. Generally, inefficient customsoperations such as long clearance times and complicated procedures act asdissipative trade barriers, which raise the costs of imports withoutgenerating revenues. Corruption and inefficiency are often two faces of thesame coin as customs officers deliberately obstruct procedures in order toforce traders to pay bribes. These are very serious issues, which helpexplain why countries having reformed their trade regimes but not theircustoms administration have sometimes failed to reap the full benefit oftrade liberalization (Anson et al., 2003).The double declaration of trade flows by importers and exporters offers anopportunity to gauge the importance of these unlawful practices; whileevading customs duties generally requires the importers to sidestep importregistration requirement, the situation is different for exporters. Bhagwati(1964) pioneered the use of discrepancies between “matched” declarations9

often at product level to reveal customs duties evasion. The result pointedto under-invoicing of import in Turkey. Following Fisman and Wei (2004),and Javocik and Narciso (2008), the differences between the country’sreported value of imports from a partner country and the correspondingvalue of exports of the same product reported by the trading partner istermed as the trade gap (see equation 1).GVcpit log(EV pcit ) log(IVcpit )(1)where GVcpit is a trade gap (evasion gap) in the importing country c, IV cpitis the value of imports for country c of product i from a particular country pat time t, and EV pcit is the value of exports reported by a partner country pto country c of the same product.The estimates of the evasion gap in Tanzania is presented in Table 2.2,using Tanzania’s trade relations with her major trading partners, indicatepositive values of the evasion gap for imports with higher tariff rates suchas vegetables, food products, textile and clothing, stone and glass,footwear, and hides and skins. This can be attributed to under-invoicingand outright smuggling, which make importers evade customs duties. Thehigh incidence of evasion, which is recorded in many of the commoditiesimported, suggests that customs administration is characterized byinefficiencies. It is estimated that in 2012 as much as 182.9 percent oftextile and clothing, 277.4 percent of footwear, and 113.8 percent of hidesand skins were not reported to the destination office (Table 2.3).As the official trade statistics are delivered from the import and exportdeclaration made by the dealers, there are at least five reasons why importvalue from importing country may differ from the corresponding exportingcountry. The first reason for major discrepancies in trade statistics is theundercount of export data which follows from exporters’ failure to10

Table 2.2: Tanzania’s Major Trading Partners: Estimated Evasion Gap, 2012WorldUnited ArabEmiratesChinaSouth AfricaProduct GroupConsumer GoodsCapital GoodsIntermediate ablesChemicalsMetalsTextile /ClothingPlastic or RubberRaw MaterialsMiscellaneousFood ProductsWoodMineralsFootwearStone and GlassAnimalsHides and .92.63.9MFNGV .319.29.724.623.332.724.7Source: Author’s estimations: Computed with data from World Bank’s Integrated Trade Solutions (WITS) data 4.74.04.44.14.52.73.13.63.42.5MFNGV 39.023.76.914.69.421.119.64.723.321.854.424.7

Table 2.3: Percent Share of Missing Imports from Major Trading PartnersAttributed to Under-Invoicing, 2012WorldChinaUAESouth AfricaProduct GroupGroup4Consumer GoodsCapital GoodsIntermediate GoodsMachinery and etalsTextile and ClothingPlastic or RubberRaw MaterialsMiscellaneousFood ProductsWoodMineralsFootwearStone and GlassAnimalHides and 10.145.210.9100.8-72.752.396.174.370.9Total Group .10.5-0.10.20.80.10.1-51.9 -21.7-5.0-1.6-19.7-5.3169.0 16.8-91.0 -25.1-41.1-4.164.60.2-11.4-0.6-97.6 22.80.053.00.198.30.423.30.169.40.0Source: Author’s estimations: Computed with data from World Bank’s Integrated TradeSolutions (WITS) data base.properly file export declarations. Some shippers do not file declarationsdue to lack of understanding of filling requirements while others simply donot bother to file. Studies show that enforcement for complying withimport regulations is stricter than with exports regulations. The secondmajor reason for a non-zero trade gap is related to transit trade with thirdcountries. For example South Africa exporters passing their goods to45Percent of respective product groupPercent of total imports12

Democratic Republic of Congo (DRC) through Tanzania may fail to declarethe outbound movement from Tanzania, i.e. they may treat exports to DRCthrough Tanzania in the same way as they treat exports to Tanzania; suchtransactions may be captured as exports to Tanzania in South Africastatistics, while in Tanzania it will be classified as re-exports and will not bereflected in trade data with South Africa, thus leading to a positiveTanzania trade gap. The third source of discrepancies in trade statistics arethe methodological differences between statistical agencies of importingcountry and exporting country. Each agency edits trade data according toits own procedure. As a result, differences in trade definition, currencyconversions, valuation etc, can lead to an imbalance in trade statisticsbetween the two countries.The fourth reason for a trade gap to be different from zero is due to variousactions undertaken by traders in order to avoid paying import duties.Fisman and Wei (2004) find that the Chinese trade gap with Hong Kong hasa strong negative relationship with Chinese tariffs against imports fromHong Kong. Javorcik and Narciso (2008) find similar results for the Germantrade with Eastern European countries. In both studies, it is implicitlyassumed that if the trade is driven by a measurement error only, it shouldbe unrelated to any measure of trade policy. Thus, a statistical relationshipbetween a trade gap and tariffs is interpreted as evidence of tariff evasionin countries with high trade barriers. Figure 2.2 (panel A-D) reports thecorrelation between trade gap and most favored nation (MFN) weightedaverage tariff rates for Tanzania’s imports with its major trading partners.All panels reveal a positive association-ship between tariff evasion andtariff rates.13 pag

tax rates in Tanzanian tax system indicate that there is a scope for raising tax revenue without increasing tax rates by reinforcing tax and customs administrations and reducing tax evasion. Keywords: tax evasion, imports, tariff rate, and import VAT JEL: H20, H26 * The author

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