Measuring the tax cost of investment in India. Through estimation of marginal effective tax rates (METRs)

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Measuring the tax cost of investment in India Through estimation of marginal effective tax rates (METRs)

Contents Introducing the METR The METR model Estimating METRs METRs in India Summary Page 2 19 September 2017 Presentation title

Introducing the METR Page 3 19 September 2017 Presentation title

Introducing the METR Tax affects investment decisions Business investment decisions are typically based on The after-tax NPV of projects Or equivalently, comparing after-tax IRR to a hurdle rate Economic analysis is consistent with business decisionmaking, but focuses on the market & not one business In a market, investment occurs as long as economic profits are positive As long as IRR cost of finance = hurdle rate, investment flows into the market Taxes insert a wedge between before- and after-tax returns to investors This changes the volume and distribution of investment Page 4 19 September 2017 Presentation title

Introducing the METR Definition The marginal effective tax rate or METR is a statistic measuring this tax wedge (ω) We can also think of the tax wedge as Investment rate of return savings rate of return Pre-tax rate of return post-tax rate of return The marginal effective tax rate (METR) is a statistic measuring the tax wedge on a marginal investment Pre-tax real rate of return on capital METR = ω r g = r g r n r g Post-tax real rate of return Taxes considered are corporate income taxes, sales taxes, assetbased taxes, transfer taxes, distribution taxes and personal taxes Page 5 19 September 2017 Presentation title

Introducing the METR For the marginal firm, User cost is interpreted as economic depreciation plus real cost of finance, adjusted for taxation Suppose Real cost of finance = 6%, inflation = 2%, total tax impact = 4% This implies a UCC or hurdle rate of 12% With δ = 0, a project would need nominal IRR, r g > 12% If the hurdle rate rose further then the nominal IRR would also rise Marginal rev. product Econ. depreciation rate F = r g + δ = UCC Marginal projects would be dropped Aggregate investment in the economy would fall User cost of capital Page 6 19 September 2017 Presentation title

Introducing the METR METRs vs CIT rates as tax competitiveness measures METRs are better measures of the investment climate and tax competitiveness than statutory CIT rates 1. Most companies do not pay statutory CIT rates They avail of measures in the tax code 2. The METR captures the impacts of these measures The CIT (by definition) cannot 3. CIT rates do not account for non-tax factors (e.g. inflation) and their impact on investment decisions 4. CIT rates do not account for some tax factors (e.g. accelerated depreciation) and their impact on investment Page 7 19 September 2017 Presentation title

Introducing the METR METRs vs ATRs as tax competitiveness measures Some experts use average tax rates (ATRs) to measure of tax competitiveness ATR = CIT revenue / book revenue ATRs are useful when examining lumpy investments or revenue impacts of tax policy But ATRs have limitations vis-à-vis investment incentives 1. ATRs are based on income from current & past investment 2. ATRs are based on all business income. One cannot measure the tax system effect on investment composition 3. Book income real profit when inflation exists as book income is based on historic cost accounting Page 8 19 September 2017 Presentation title

Introducing the METR An international comparison Source: Chen & Mintz (2016) Page 9 19 September 2017 Presentation title

The METR model Page 10 19 September 2017 Presentation title

The METR model Assumptions METR estimation comes down to estimating r g and r n Our model assumptions are 1. Inflation, interest rates and equity rates of return are exogenous to the firm 2. Firms pay all their taxes and use all available tax benefits 3. Physical capital does not yield real capital gains 4. Firms maintain a fixed debt / equity ratio 5. Statutory taxes and inflation are known and constant over time These assumption impose structure on firm behavior Page 11 19 September 2017 Presentation title

The METR model Modelling r n An investor provides funds iff expected returns are weakly greater than returns from the outside option These are nothing but the real rate of return accruing to the market It follows then that β = share of debt in portfolio i = nominal market rate of interest Nominal equity rate of return Real return r n = r = βi + 1 β ρ π Inflation rate r n is the post-tax return that must accrue to the marginal investment, which is paid to the investors Investors may then need to pay personal income tax on r n In a world without taxes, r n = r g and METR = 0 Page 12 19 September 2017 Presentation title

The METR model Modelling r n Nominal interest rate i is known from market sources However, the nominal equity rate of return ρ is unknown ρ is estimated by assuming that for the financier, post-tax returns from debt and equity are equal, i.e. Personal income tax rate Proportion of equity paid out as dividends On LHS, i is debt income, on which im personal income tax is paid, leaving i 1 m are post-tax income On RHS, a% of equity income is through dividends and 1 a % is capital gains income i 1 m = ρ 1 at d 1 a t c Dividend dist. tax rate Capital gains tax rate After paying relevant taxes, the remaining income is as per RHS Page 13 19 September 2017 Presentation title

The METR model Modelling r g r g is pre-tax return on capital for a marginal investment By definition, it is the difference between the marginal revenue product of capital (F ) and the economic depreciation rate (δ) F is the additional return from the last unit of capital invested and is a measure of productivity δ occurs for two reasons: (1) physical wear and tear of the asset and (2) inflation In a world without taxes, profit maximization requires that When taxes exist, profit maximization requires that CIT rate r g = F δ F = MC 1 u F = MC Marginal cost Page 14 19 September 2017 Presentation title

The METR model Modelling r g Applying the user cost of capital model (Jorgenson, 1963) And UCC has 3 components Financing cost, which is a combination of debt and equity Economic depreciation of the asset Taxes For depreciating assets like machinery, UCC is defined as Real cost of finance to firm Sales taxes F = MC 1 u = UCC UCC D = MC D 1 u = 1 + ST δ + r f 1 A 1 u PV of tax depreciation allowances Page 15 19 September 2017 Presentation title

The METR model Modelling r g The real cost of finance to the firm is Nominal cost of firm s debt r f = βi 1 u + 1 β ρ f π The firm s cost of finance differs from the market cost of finance because of the deductibility of the firm s interest expenses The present value of tax depreciation is Initial allowance for expensing A = u α IA + 1 IA α + r f + π Tax depreciation allowance rate Nominal cost of firm s finance Using the relationships between F, UCC, r f and A, one may estimate r g on depreciable assets Page 16 19 September 2017 Presentation title

The METR model Modelling r g Analogously, one may estimate r g for non-depreciable assets like land Since δ = 0, α = 0 UCC L = 1 + ST r f 1 u And r g for inventories We account for inventory under FIFO rules, yielding UCC I = 1 + ST r f + uπ 1 u Note that firms pay additional tax of uπ on inventory because of inflation Page 17 19 September 2017 Presentation title

Estimating METRs Page 18 19 September 2017 Presentation title

Estimating METRs The equations in the previous section allow for estimation of METRs of a universe of marginal investments These are defined as per their parameter values (u, α, π etc.) A marginal investment will have the following attributes Specific industry Specific asset mix (e.g. land, structures, machinery, inventory) Financed from different sources (e.g. debt, equity) There is no unique marginal investment in an economy Each marginal investment may have a different METR When estimating METRs at the national or sectoral level, it is necessary to consider this heterogeneity Page 19 19 September 2017 Presentation title

Estimating METRs We estimate METRs using a bottom-up approach Consistent with the literature METRs are estimated for many different types of marginal investment These are then aggregated upward to the sector and national levels We classify all investment in India according to four characteristics These characteristics are relevant for their tax and economic impacts Sector, asset type, firm size, tax payer type Page 20 19 September 2017 Presentation title

Estimating METRs Marginal investment types considered Agriculture, forestry & fishing Construction Sector Asset type Firm Size Electricity, steam, gas & AC supply Finance & insurance Information & communication Manufacturing Wholesale & retain trade, repair of motor vehicles & motorcycles Transportation & storage Other Buildings Furniture & fittings Inventory Land Machinery Transport Small firms, with investment < INR 250 million Large firms, with investment > INR 250 million Tax payer type CIT payer MAT payer 9 6 2 2 = 216 investment types are considered Page 21 19 September 2017 Presentation title

Estimating METRs The 8 selected sectors account for 93% of all Indian investment in 2015 ( Other captures the remainder) NIC system of classification was used Asset classes are selected as per the needs of the METR model & tax treatment under Indian rules E.g. buildings and furniture have different tax depreciation rates Large firms could avail of investment allowances, lowering METRs MAT-paying firms have different METRs than those that do not Page 22 19 September 2017 Presentation title

Estimating METRs Aggregation principles 216 METRs are estimated as per the equations shown Higher level METRs (e.g. sector or national level) are calculated as weighted averages E.g. a sectoral METR is a weighted average of 216 / 9 = 24 lower level METRs Capital shares are used as weights The proportion of total new investment capital in the economy that is allocated to a given marginal investment type If type A attracts more investment than type B then A will have a greater impact on higher level METRs This is consistent with A s greater importance as a recipient for investment Page 23 19 September 2017 Presentation title

Estimating METRs Capital structure of the Indian economy, FY2015 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% CIT, Large CIT, Small MAT, Large MAT, Small Aggregate Agriculture Manufacturing Electricity Construction Trade Transport Info & Comm Finance Other Source: Prowess Page 24 19 September 2017 Presentation title

Modeling the METR in the Indian context Data sources To model the METR we used the following data Variable Capital structure Market interest rates Leverage ratios Inflation rate Economic depreciation rates Tax rates (diverse direct and indirect) Data Source Prowess Thomson Reuters EIKON Prowess Ministry of Statistics and Program Implementation (MOSPI) National account statistics Income tax act, internal EY reference materials, discussions with EY experts, assorted guidance material Page 25 19 September 2017 Presentation title

METRS for investment in India Page 26 19 September 2017 Presentation title

METRS for investment in India Pre-GST METRs METRS (%) 27.77 18.50 22.99 28.88 33.08 31.78 43.13 39.79 31.51 28.96 Service sectors had higher METRs Page 27 19 September 2017 Presentation title

METRS for investment in India Pre-GST and post-gst METRs METRS (%) 27.77 22.11 18.50 17.60 22.99 17.34 28.88 37.58 33.08 22.73 31.78 18.20 43.13 20.61 39.79 23.48 31.51 16.81 28.96 20.25 Pre-GST Post-GST The GST brings down METRs in most sectors Page 28 19 September 2017 Presentation title

METRS for investment in India Pre-GST, post-gst and ideal GST METRs METRS (%) 27.77 22.11 14.72 18.50 17.60 18.33 22.99 17.34 15.51 28.88 37.58 8.77 33.08 22.73 13.09 31.78 18.20 16.02 43.13 20.61 13.61 39.79 23.48 21.23 31.51 16.81 13.40 28.96 20.25 17.30 Pre-GST Post-GST Ideal GST METRs can be further reduced by removing exemptions Page 29 19 September 2017 Presentation title

METRS for investment in India Decomposition: impacts of different taxes 22.11 13.21 11.97 OVERALL 4.80 17.60 9.06 6.88 AGRICULTURE 0.01 17.62 15.71 14.54 MANUFACTURING 7.29 31.63 ELECTRICITY -2.46-2.80-9.43 26.93 18.18 17.09 CONSTRUCTION 11.53 27.78 25.59 24.23 TRADE 18.51 18.49 10.72 8.67 TRANSPORT 1.47 29.33 27.27 26.05 INFO & COMM 17.81 16.48 12.67 10.49 FINANCE 3.79 25.95 23.22 20.19 OTHER 12.84 Actual IDT cascades removed Stamp duties removed DDT removed Indirect taxes and dividend distribution taxes have a large impact on METRs Page 30 19 September 2017 Presentation title

METRS for investment in India Direct tax incentives and their impact 22.11 31.35 22.11 17.60 17.60 17.60 17.62 28.37 17.34 31.63 41.32 37.58 26.93 31.37 22.73 27.78 29.59 18.20 18.49 28.51 20.61 29.33 36.69 23.48 16.48 24.26 16.81 25.95 29.43 20.25 Post-GST No IA, accel dep No IA, accel dep + CIT=12.75%, MAT=10% Initial allowances and accelerated depreciation are significant incentives Page 31 19 September 2017 Presentation title

METRS for investment in India Tax distortions: CIT vs MAT, pre- and post-gst 28.42 26.06 23.61 18.18 18.62 18.20 16.95 19.31 23.67 21.22 18.16 15.22 28.54 29.77 37.03 39.01 32.68 34.13 22.34 23.75 30.92 34.01 17.37 20.37 41.91 46.31 22.07 16.82 41.34 35.76 24.04 22.00 30.80 33.36 17.24 15.70 27.80 31.99 19.98 20.93 pre-gst pre-gst post-gst post-gst MAT-paying firms tend to have higher METRs Page 32 19 September 2017 Presentation title

METRS for investment in India Size distortions: large vs small, pre- and post-gst 36.25 26.30 26.62 21.33 17.50 18.68 15.12 18.03 25.20 22.61 21.16 16.69 42.99 26.45 41.16 36.96 37.08 32.39 29.13 21.63 36.58 30.95 26.02 16.85 37.46 44.11 22.33 20.31 51.83 37.71 29.21 22.49 39.37 30.15 31.67 14.24 35.99 27.75 26.88 19.10 pre-gst pre-gst post-gst post-gst Smaller firms tend to have higher METRs Page 33 19 September 2017 Presentation title

METRS for investment in India Financing distortions: debt vs equity 22.11 46.55-12.83 17.60 25.18 10.53 17.62 43.24-21.25 31.63 57.43 10.99 26.93 52.96 1.13 27.78 50.60-3.08 18.49 45.75-14.91 29.33 43.74-19.94 16.48 45.26-15.99 25.95 47.36-12.63 Post-GST 100% equity 100% debt Highly indebted firms have lower METRs because of interest rate deductibility Page 34 19 September 2017 Presentation title

15.95 18.14 19.78 28.28 27.06 37.28 METRS for investment in India METRs across different asset classes BUILDINGS LAND MACHINERY TRANSPORT FURNITURE & FITTINGS INVENTORY Machinery has the lowest METR because of initial allowances and accelerated depreciation Page 35 19 September 2017 Presentation title

Summary Page 36 19 September 2017 Presentation title

Summary Methodological notes The METR is a theoretically consistent method for evaluating a tax system s impact on investment incentives The METR is a better measure of for this purpose than Statutory corporate income tax rates Average tax rates The METR estimates the tax wedge between the pre- and post-tax returns of the marginal firm Direct taxes, indirect taxes and tax incentives are considered The METR is a bottom-up methodology Sectoral and national METRs are estimated by aggregating across lower-level METRs We have estimated 216 METRs across 9 sectors Page 37 19 September 2017 Presentation title

Summary METRs in India The GST reduced national METR from 27.8% to 22.1% Could increase national-wide investment by 5.1% If remaining GST exceptions are removed, METR would fall further to 13.26% Nationwide investment should increase by another 6.6% Decomposition analysis shows that indirect taxes contribute as must as 40% of post-gst METRs Direct tax incentives significantly reduce to the METR E.g. accelerated depreciation and initial allowances If removed, the CIT and MAT rates can be reduced to 12.75% and 10.0% without affecting the METR Page 38 19 September 2017 Presentation title

Summary METRs in India MAT paying firms tend to have higher METRs Because they do not avail of some direct tax incentives Large firms tend to have lower METRs Because they receive initial allowances The tax code may therefore work against small firms scaling up High debt levels reduce METRs Therefore, low METRs are not necessarily a good thing, particularly when associated with high debt levels This is seen particularly in the power, construction and transport sectors Pre-GST, power received many incentives, but it was also heavily indebted low METRs Page 39 19 September 2017 Presentation title

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