Tax Policy and the Location Choices of Multinational Firms Martina Lawless, Daire McCoy, Edgar Morgenroth and Conor O’Toole 21st October 2014 www.esri.ie Funded by the Department of Finance Introduction International activity involves multiple decisions by a firm – export or locate abroad? Locate where? At what scale? Many costs and benefits to be weighed up. Tax rates and structure likely to play a role at each stage. Corporate tax increasingly focus of attention in competing for investment. How much does it matter for location choice of multinationals? What We Do Examine effects of corporate tax on location decisions of multinational firms (Amadeus database). Focuses on one stage of multinational decision process. Entry decision of newly established multinational subsidiaries across 26 European countries, 2005-2012. Model location decision for each firm across countries. Control for country characteristics, including tax rate. Allow for non-linear response to changes in the tax rate. Estimate effects for different sectors, firm size groups. Simulate effects of change in Irish tax rate. Literature Devereux and Griffith (1998; 2002; 2003) Barrios, Huizinga, Laeven, and Nicodème (2012) Basile, Castellani and Zanfei (2009) Chen and Moore (2010) Davies, Norbäck and Tekin-Koru (2009) Head and Mayer (2005) Siedschlag, Smith, Turcu and Zhang (2013) Measures of Corporate Tax Policy Rate - KPMG, EY Mean Effective Average Tax Rate (EATR) – EC Calculated by comparing the cash-flows from a hypothetical, forwardlooking investment project in the presence and absence of taxation. It is a weighted average of the effective marginal tax rate and the policy rate. Total Tax Rate - WDI The statutory rate charged by the host country government on corporate profits earned by the subsidiary. Includes all taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions. EATR Cross-border – EC Similar calculation to mean EATR but includes taxes levied by both host and home country governments. Tax Variation Across Europe Country Coverage Country No of Firms Country No of Firms Austria 101 Hungary 14 Belgium 27 Ireland 130 Bulgaria 121 Italy 421 Czech Republic 214 Lithuania 36 Germany 316 Latvia 42 Denmark 30 Netherlands 249 Estonia 66 Norway 104 Spain 320 Poland 142 Finland 40 Portugal 109 France 213 Sweden 34 Greece 6 Slovenia 23 Croatia 90 Slovakia 48 Hungary 14 United Kingdom 342 Firm Sector Coverage Number of Firms by Sector Type & Skill Sector Skill Number Percentage High tech manufacturing 176 5% Low tech manufacturing 224 7% High tech Services 720 22% Low tech Services 1,300 40% Financial 639 20% Other 179 6% New Firms Over Time Year of Entry No of Firms 2005 389 2006 444 2007 423 2008 439 2009 217 2010 634 2011 486 2012 206 Other Explanatory Variables Market potential – Size of location and surrounding markets GDP growth Labour education - % population with 3rd level education Relative Labour cost – Compensation/employees Historic stock of FDI Distance – from home to host country Infrastructure – motorway density / broadband coverage Common language Share border Former colony Natural resources - Total natural resources rents as %of GDP EU 15 membership Relative Population – comparing home and host country sizes Relative GDP per capita – comparing home and host country income levels Methodology The profits earned from locating in a particular country, are: X i ,c i ,c i ,c Firm faces a choice across destinations which yield different potential returns. Chose c where: i ,c i , j j 1,..., J , j c i,c yields the highest profit across all groups. Conditional logit model: 1 if ic ij c Y otherwise 0 Effect of Non-Tax Variables Higher levels of GDP and GDP growth increase probability location choice. Market potential also positively linked with location attractiveness (not always statistically significant). Suggests peripheral economies at a relative disadvantage. Infrastructure has a positive and significant effect on the probability of location choice. Labour cost and quality measures not robust, but are perhaps overly broad indicators – refinement needed. Tax Results for Location Choice Marginal Effects – Baseline and Extended Models Policy rate Mean EATR Total Tax Rate Baseline (Linear) Marginal Effect -0.07 Baseline (Quadratic) Marginal Effect -0.80 -1.26 -0.53 Extended Main Model Marginal Effect -0.68 -1.15 -0.56 Notes: Marginal effects are calculated as Davies et al. (2001). Effects by Sector Marginal Effects - Main Model – By Sector Mean Total Tax Policy rate EATR Rate Manufacturing -0.63 -0.94 -0.48 Services -0.31 -0.75 -0.45 Financial sector -1.36 -2.58 -0.67 Other -0.73 Effects by Firm Asset Size Marginal Effects by Size Policy rate Small Mean EATR Total Tax Rate Number -0.74 -0.42 24,056 Medium -0.50 -1.06 -0.52 20,350 Large -0.99 -1.35 -0.46 21,714 Small Total Assets less than €250k Medium Total Assets greater than €250k and less than €3m Large Total Assets greater than €3m Policy Experiment Changes in Irish Statutory Tax Rate and Location Probability Remain at Change Change Change Change 12.5% to 15% to 17.5% to 20% to 22.5% Probability of locating in Ireland 3.12% 2.44% 1.98% 1.65% 1.43% Change in percent of new affiliates opened in Ireland 0% -22% -37% -47% -54% Conclusions We find a consistent negative effect of the corporate tax rate choice probability. Small but significant non-linearity in the tax effect – i.e. larger effect if the starting point is a low rate of tax compared to if the same size change is applied to a higher tax rate. 1 percent increase in the policy rate reduces the likelihood of choosing a destination by 0.68 percent. 1 percent increase in EATR reduces likelihood of choosing a destination by 1.15 percent. Large variations in the sensitivity to tax rates across sectors. Policy Simulation Result Simulate the possible effect of a number of changes in Irish corporate tax rate on the entry of new multinational subsidiaries. If the Irish tax rate had been 15% over the period in our sample, the number of new foreign affiliates entering the country would have been 22 % lower. If the tax rate had been 22.5% (the sample average), the number of new foreign affiliates would have been 50 % lower.
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