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Self-enforcing capital tax coordination

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Abstract

Capital tax competition is known to result in inefficiently low tax rates and an undersupply of public goods. The provision of public goods and with it the welfare of all countries can be enhanced via tax coordination. Based on the standard Zodrow-Mieszkowski-Wilson tax-competition model this paper analyzes the conditions under which tax coordination by a group of countries is self-enforcing. In our analytical framework, there always exists a rather small stable tax coalition. For some subset of the parameter space the grand coalition is stable, even if the total number of countries is large. If the stable coalition is small, it is not very effective in mitigating the inefficiency of the non-cooperative Nash equilibrium. The ineffectiveness is increasing in the total number of countries.

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Notes

  1. Apart from competition in capital taxes, a major concern of closer international integration is competition in consumption taxes via cross border shopping. See e.g. Aiura and Ogawa (2013) and Kanbur and Keen (1993). Since the analytical frameworks needed for studying consumption tax competition/coordination differ significantly from those needed for capital tax competition/coordination, we refrain from putting our approach to capital tax coordination in the context of the literature on consumption tax competition/coordination.

  2. There is a tax rate higher than the average tax rate in the non-cooperative Nash equilibrium such that the maximum aggregate welfare (= social optimum) would be attained, if all countries would adopt that rate. However, to make all countries better off in the transition from non-coordination to the social optimum one may need suitable transfers, if countries are heterogeneous. See Bucovetsky and Smart (2006) and Hindriks et al. (2008).

  3. Finus (2003) made this observation with regard to the literature on international environmental agreements whose formation and stability face similar barriers as the tax coordination, in terms of the formal analysis. Interestingly, formal analogies also exist regarding the industrial organization literature on cartels.

  4. To the best of our knowledge, this is true in such disconnected areas of research as cartel theory, as the theory of international environmental agreements and as tax coordination theory.

  5. Marchand et al. (2003) and Conconi et al. (2008) analyze partial tax tax harmonization in different tax competition models. They reach to mixed conclusions. Partial tax harmonization may be either welfare worsening or welfare enhancing for the tax harmonizing subgroup compared to no harmonization.

  6. In a model with capital that causes global pollution (Eichner and Pethig 2014) the socially optimal environmental agreement may also be self-enforcing.

  7. We follow textbook arguments and assume that the production function is positive and increasing, which implies that \(k_i\) has to be restricted to the interval \(\left[ 0, \frac{a}{b} \right] \).

  8. We choose the restrictive functional forms (1) and (2) for reasons of tractability. Production functions of type (1) are employed by Bucovetsky (1991), Grazzini et al. (2003) and by Devereux et al. (2008). A linear utility function of type (2) is assumed by Keen and Lahiri (1998). In fact, various contributions to the capital tax literature use the functional forms (1) and (2), e.g. Peralta and Ypersele (2005), Bucovetsky (2009), Kempf and Rota-Graziosi (2010), Ogawa 2013 and Itaya et al. (2014).

  9. To ensure full employment of capital in the social optimum, we impose the condition

    $$\begin{aligned} \frac{a}{b \bar{k}} > 1 - \frac{\varepsilon }{1+2 \varepsilon }. \end{aligned}$$
    (11)

    That condition is an analogue to Assumption 1 in Bucovetsky 2009, and it is implied by the condition \((a/b\bar{k}) > 1 + n \varepsilon / (n-1)(1+\varepsilon )\) which is a natural constraint for keeping \(r_o\) (defined in (10)) positive.

  10. For more details and for the definition of (54) we refer to Appendix D.

  11. The equilibrium tax rates (12) and their ranking are due to Itaya et al. (2014). However, Itaya et al. immediately proceed from these results to the analysis of the compliance issue in the context of a repeated game, while our focus is on coalition stability. To prepare the ground for our stability analysis, we find it useful to characterize in more detail the coalition-fringe equilibria and their dependence on the coalition size m.

  12. In their Proposition 1 (p. 162) Konrad and Schjelderup (1999) find in an exercise with marginal changes of tax rates that compared to the non-cooperative equilibrium all countries may be better off in the presence of a tax coalition. However, they do not establish our result of Proposition 1(i) that fringe countries benefit more than coalition countries.

  13. The asymmetric taxes and capital flows generate production inefficiencies.

  14. The ranking \(r^* + t^*_c> r_o + t_o > r^* + t^*_f\) follows from \(k^*_f> k_o > k^*_c\) and \(X_k > 0\).

  15. Observe that \(\mathcal{T}^c (1) =\mathcal{T}^f (1) =t_o\) and \(\mathcal{W}^c (1) =\mathcal{W}^f (1) =w_o\).

  16. Figs. 1, 2 and 3 hold for \(1 \le m \le 99\). The allocation and welfare of the grand coalition is not displayed in these Figures.

  17. The observation that the welfare gap \(\mathcal{W}^f(m) - \mathcal{W}^c(m)\) increases in m holds not only in Example 1 but also for any values of the parameters. This can be seen by differentiation of (32) in the “Appendix A” with respect to m.

  18. This notion of self-enforcement or stability was originally introduced by D’Aspremont et al. (1983) in the context of cartel formation. It was then applied in various different areas, in particular in the study of stability of international environmental agreements.

  19. Burbidge et al. (1997) and Bucovetsky (2009) also analyze the stability of the grand coalition in their models of heterogeneous countries. Burbidge et al. (1997) show that the grand coalition is realized as a unique equilibrium if there are only two countries, but this is not the case if there are more than three countries. Bucovetsky (2009) points out that the grand coalition is stable if the population share of the smallest country exceeds some threshold.

  20. The function \(\bar{F}(n)\) in (23) is further specified in “Appendix E”.

  21. Bucovetsky (2009, Proposition 8) establishes a result comparable to Proposition 2(ii) in a model of heterogeneous countries. Proposition 2 is more specific than his result because it fully characterizes the parameter sub-space for which the grand coalition is stable.

  22. Straightforward but tedious calculations yield \(\mathcal{W}^f (n-1) - \mathcal{W}^c (n-1) = \frac{(n-2)b n \varepsilon ^2 \bar{k} [(1+2 \varepsilon ) n^2 - 2 \varepsilon n + 2 \varepsilon ]}{2 (n-1)^2 (2 + 3 \varepsilon )^2}\).

  23. In addition, the function H is discontinuous between \(m=99\) and \(m=100\). But we need not care about that discontinuity because it is only the integers that count.

  24. This invariance is due to the special parametric functional forms employed. It is the outcome of our computations with the the software ‘Mathematica’.

  25. It is worth noting that Proposition 3 is not based on numerical examples but provides general insights in our analytical setting. The proof of Proposition 3 can be found in Appendix F.

  26. The non-cooperative equilibrium is the coalition fringe equilibrium with \(m=1\).

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Correspondence to Thomas Eichner.

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Helpful comments from two anonymous referees are gratefully acknowledged. Remaining errors are the authors’ sole responsibility.

Appendices

Appendix

1.1 Appendix A: Proof of (13) and (14)

The coalition’s first-order condition is given by

$$\begin{aligned} (1+\varepsilon ) t_c \frac{\mathop {\partial }k_c}{\mathop {\partial }t_c} + (\bar{k} - k_c) \frac{\mathop {\partial }r_c}{\mathop {\partial }t_c} + \varepsilon k_c =0, \end{aligned}$$

where \(r_c := a - b \bar{k} - \Theta _c\), \(k_c := \bar{k} - \frac{t_c}{b} + \frac{\Theta _c}{b}\) and \(\Theta _c := \frac{m t_c + \sum _{j \in F} t_j}{n}\) or equivalently

$$\begin{aligned} -m (t_c -\Theta _c) -(n-m) (1+\varepsilon ) t_c + \varepsilon (n b \bar{k} - n t_c + n \Theta _c) =0.\end{aligned}$$
(25)

The first-order condition of the fringe country (8) can be written as

$$\begin{aligned} (1+\varepsilon ) t_f \frac{\mathop {\partial }k_f}{\mathop {\partial }t_f} + (\bar{k} - k_f) \frac{\mathop {\partial }r_f}{\mathop {\partial }t_f} + \varepsilon k_f =0, \end{aligned}$$
(26)

where \(r_f := a - b \bar{k} - \Theta _f\), \(k_f := \bar{k} - \frac{t_f}{b} + \frac{\Theta _f}{b}\) and \(\Theta _f := \frac{t_f + \sum _{j \ne f} t_j}{n}\). Accounting for \(r_f\), \(k_f\) and \(\Theta _f\) turns (26) into

$$\begin{aligned} -(t_f -\Theta _f) -(n-1) (1+\varepsilon ) t_f + \varepsilon (n b \bar{k} - n t_f + n \Theta _f) =0. \end{aligned}$$
(27)

Since all fringe countries are alike, a necessary condition for a symmetric equilibrium is \(t_i=t_f\) for all \(i \in F\) and thus

$$\begin{aligned} \Theta _c = \Theta _f = \frac{m t_c + (n-m) t_f}{n} =: \Theta . \end{aligned}$$
(28)

Solving (25) and (27) with respect to \(t_c\) and \(t_f\) yields

$$\begin{aligned} t_c^*= & {} \frac{\{m (n+1) - m^2 + n [n(1+2 \varepsilon )-1-\varepsilon ]\}\varepsilon \bar{k}b}{(n-m) (1+\varepsilon ) [m(1+\varepsilon ) + (n-1) (1+2 \varepsilon )]}>0, \end{aligned}$$
(29)
$$\begin{aligned} t_f^*= & {} \frac{[n^2(1+2 \varepsilon )-m^2-m(n\varepsilon - 1)] \varepsilon \bar{k} b}{(n-m) (1 + \varepsilon ) [m(1+\varepsilon ) + (n-1) (1+2 \varepsilon )]}>0. \end{aligned}$$
(30)

Substracting \(W^c(t_c, t_f, m)\) from \(W^f(t_c, t_f, m)\) yields

$$\begin{aligned} W^f(t_c, t_f, m) - W^c(t_c, t_f, m)= \frac{(t_c-t_f)\left[ 2 m \varepsilon (t_f-t_c) + n (t_c + t_f + 2 t_c \varepsilon - 2 b \varepsilon \bar{k}) \right] }{2bn}. \end{aligned}$$
(31)

Next, we insert \(t_c^*\) and \(t_f^*\) from (29) and (30) in (31) to obtain after some rearrangement of terms

$$\begin{aligned} W^f(t_c^*, t_f^*, m) - W^c(t_c^*, t_f^*, m)= \frac{(m-1) n b \varepsilon ^2 \bar{k}^2 \left[ (m+1) n (1+ 2 \varepsilon ) - 2m \varepsilon \right] }{2(n-m)^2 \left[ m(1+\varepsilon ) + (n-1) (1+2\varepsilon ) \right] ^2}>0. \end{aligned}$$
(32)

Substracting \(W^c(t_o, t_o, m) = \left( a - \frac{b \bar{k}}{2} + t_o \varepsilon \right) \bar{k}\) from \(W^c(t_c, t_f, m)\) yields

$$\begin{aligned}&W^c(t_c, t_f, m) - W^c(t_o, t_o, m) \nonumber \\&\quad = \frac{m^2 (t_c - t_f)^2 + 2 mn (t_c-t_f) (t_f + \varepsilon t_c) + n^2 \left[ t_f^2 - t_c^2 (1+2 \varepsilon ) - 2 b t_o \varepsilon \bar{k} + 2 t_c \varepsilon (t_f + b \bar{k}) \right] }{2b n^2}. \end{aligned}$$
(33)

Next, we insert \(t_c^*\) and \(t_f^*\) from (29) and (30) and \(t_o = \frac{n \varepsilon \bar{k} b}{(n-1) (1+ \varepsilon )}\) in (33) to obtain after some rearrangement of terms

$$\begin{aligned}&W^c(t_c^*, t_f^*, m) - W^c(t_o, t_o, m) \nonumber \\&\quad = \frac{m^2 (n+1) +(n-1) (nm+m-n) + \left[ m^2 (3n+1) +(n-1)(5mn-3n+3n^2) \right] \varepsilon }{2 (n-m) (n-1) (1 + \varepsilon ) \left[ m (1 + \varepsilon ) + (n-1) (1 + 2 \varepsilon )\right] ^2} \nonumber \\&\quad + \frac{ \left[ 2 m^2 n +(n-1) (6mn -2n)\right] \varepsilon ^2}{2 (n-m) (n-1) (1 + \varepsilon ) \left[ m (1 + \varepsilon ) + (n-1) (1 + 2 \varepsilon )\right] ^2} >0. \end{aligned}$$
(34)

(32) and (34) establishes \(W^f(t_c^*, t_f^*, m)> W^c(t_c^*, t_f^*, m) > W^c(t_o, t_o, m) \equiv w_o\). \(\square \)

1.2 Appendix B: Proof of (17)

Making use of (29), (30), (1), (4) and \(k_o= \bar{k}\) in \(X(k) +(\bar{k}-k) r\) we get after rearrangement of terms

$$\begin{aligned}&X(k_f^*) +(\bar{k}-k^*_f) r^* - \left[ X(k_o) + \underbrace{(\bar{k}-k_o)}_{=0} r_o \right] \\&= \frac{\left[ 2 n^2 - m^2 +m + (4n^2+m^2 -m-2m n) \varepsilon \right] b (m-1) m \varepsilon ^2 \bar{k}^2}{2 (n-m)^2 (1+\varepsilon ) \left[ m(1+ \varepsilon ) +(n-1) (1+2 \varepsilon ) \right] ^2}>0, \end{aligned}$$
(35)
$$\begin{aligned}&X(k_c^*) +(\bar{k}-k^*_c) r^* - \left[ X(k_o) + \underbrace{(\bar{k}-k_o)}_{=0} r_o\right] \\&= \frac{\left[ m^2+n - 2 n^2 -m(n+1) +(n+m+nm- 4n^2-m^2)\varepsilon \right] b (m-1) \varepsilon ^2 \bar{k}^2 }{2 (n-m) (1+\varepsilon ) \left[ m(1+ \varepsilon ) +(n-1) (1+2 \varepsilon ) \right] ^2}<0. \end{aligned}$$
(36)

1.3 Appendix C: Proof of Proposition 1

Differentiation of \(t_c^* = \mathcal{T}^c(m)\) and \(t_f^* = \mathcal{T}^f(m)\) from (29) and (30) with respect to m yields

$$\begin{aligned} \frac{{\mathrm {d}}\mathcal{T}^c(m)}{{\mathrm {d}}m}= \mathcal{T}_m^c= & {} \frac{\left[ n + \varepsilon (2n - 1)\right] \left[ m^2 + n(n-1) + n \varepsilon (n + 2m -2) \right] b \varepsilon \bar{k}}{(n-m)^2 (1+ \varepsilon ) \left[ m (1+ \varepsilon ) + (n-1)(1+2\varepsilon ) \right] ^2}>0, \end{aligned}$$
(37)
$$\begin{aligned} \frac{{\mathrm {d}}\mathcal{T}^f(m)}{{\mathrm {d}}m} = \mathcal{T}_m^f= & {} \frac{(n \varepsilon +1) \left[ (2m-1) n + (2n (2m-1) -m^2) \varepsilon \right] b \varepsilon \bar{k} }{(n-m)^2 (1+ \varepsilon ) \left[ m (1+ \varepsilon ) + (n-1)(1+2\varepsilon ) \right] ^2}>0. \end{aligned}$$
(38)

Define the welfare functions

$$\begin{aligned} W^c(t_c, t_f, m):= & {} X \left( \bar{k} - \frac{t_c}{b} + \frac{\Theta }{b} \right) - \left( a - \bar{k} b -\Theta + t_c \right) \cdot \left( \bar{k} - \frac{t_c}{b} + \frac{\Theta }{b} \right) + \left( a - \bar{k} b - \Theta \right) \bar{k} \\&+ (1+\varepsilon ) t_c \left( \bar{k} - \frac{t_c}{b} + \frac{\Theta }{ b} \right) \\= & {} \frac{ m^2 (t_c-t_f)^2 + 2mn (t_c-t_f) (t_f + \varepsilon t_c) }{2 b n^2} \\&+ \frac{n^2 \left[ t_f^2 - t_c^2 (1+ 2 \varepsilon ) +(2 \alpha - b \bar{k})\, b \bar{k} + 2 t_c \varepsilon (t_f + b \bar{k}) \right] }{2bn^2}, \end{aligned}$$
(39)
$$\begin{aligned} W^f(t_c, t_f, m):= & {} X \left( \bar{k} - \frac{t_f}{b} + \frac{\Theta }{b} \right) - \left( a - \bar{k} b -\Theta + t_f \right) \cdot \left( \bar{k} - \frac{t_f}{b} + \frac{\Theta }{b} \right) + \left( a - \bar{k} b - \Theta \right) \bar{k} \nonumber \\&+ (1+\varepsilon ) t_c \left( \bar{k} - \frac{t_f}{b} + \frac{\Theta }{ b} \right) \nonumber \\= & {} \frac{m^2 (t_c - t_f)^2 + 2 m n (t_c - t_f) t_f (1 + \varepsilon ) + b n^2 \bar{k} (2 \alpha + 2 t_f \varepsilon - b \bar{k})}{2bn^2}. \end{aligned}$$
(40)

Total differentiation of \(\mathcal{W}^c(m) := W^c(\mathcal{T}^c(m), \mathcal{T}^f(m), m) \) and \(\mathcal{W}^f(m) := W^f(\mathcal{T}^c(m), \mathcal{T}^f(m), m) \) yields

$$\begin{aligned} \frac{{\mathrm {d}}\mathcal{W}^c(m)}{{\mathrm {d}}m}= & {} \underbrace{W^c_{t_c}}_{=0} \cdot \mathcal{T}^c_m + W^c_{t_f} \cdot \mathcal{T}^f_m + W^c_m, \end{aligned}$$
(41)
$$\begin{aligned} \frac{{\mathrm {d}}\mathcal{W}^f(m)}{{\mathrm {d}}m}= & {} W^f_{t_c} \cdot \mathcal{T}^c_m + W^f_{t_f} \cdot \mathcal{T}^f_m + W^f_m, \end{aligned}$$
(42)

where

$$\begin{aligned} W^c_{t_f}= & {} \frac{(n-m) \left[ m(t_c-t_f) + n(t_f +t_c \varepsilon )\right] }{bn^2}, \end{aligned}$$
(43)
$$\begin{aligned} W^c_m= & {} \frac{(t_c-t_f) \left[ m(t_c-t_f) + n(t_f + t_c \varepsilon ) \right] }{bn^2}, \end{aligned}$$
(44)
$$\begin{aligned} W^f_{t_c}= & {} \frac{m \left[ m (t_c-t_f) +n t_f(1+\varepsilon ) \right] }{b n^2}, \end{aligned}$$
(45)
$$\begin{aligned} W^f_{t_f}= & {} \frac{m^2 (t_f-t_c) + m n (t_c -2 t_f) (1+ \varepsilon ) + b n^2 \varepsilon \bar{k}}{b n^2}, \end{aligned}$$
(46)
$$\begin{aligned} W^f_m= & {} \frac{(t_c-t_f) \left[ m(t_c-t_f) + n t_f (1+\varepsilon ) \right] }{bn^2}. \end{aligned}$$
(47)

Finally, we insert \(t_c^* =\mathcal{T}^c(m) \) and \(t_f^*=\mathcal{T}^f(m)\) from (29) and (30) in (46) to obtain after rearrangement of terms

$$\begin{aligned} W^f_{t_f}= & {} \frac{(n-m-1) \left[ n + \varepsilon (2n-m) \right] \bar{k}}{(n-m) \left[ m(1+ \varepsilon ) + (n-1) (1+2\varepsilon ) \right] }>0. \end{aligned}$$
(48)

Observe that \(t_c^*> t_f^*>0\) implies \(W^c_{t_f}>0\) in (43), \(W^c_m>0\) in (44), \(W^f_{t_c}>0\) in (45) and \(W^f_m>0\) in (47). Using this information together with \( \mathcal{T}_m^c>0\), \(\mathcal{T}_m^f>0\) from (37), (38) and \(W^f_{t_f}>0\) from (48) in (41) and (42) establishes \(\frac{{\mathrm {d}}\mathcal{W}^c(m)}{{\mathrm {d}}m}>0\) and \(\frac{{\mathrm {d}}\mathcal{W}^f(m)}{{\mathrm {d}}m}>0\). \(\square \)

1.4 Appendix D: Feasibility constraint on the parameter space

Throughout the paper we restrict our attention to feasible economies, i.e. to those economies that exhibit non-negative rates of return on capital. As mentioned in footnote 9, in the social optimum the rate of return on capital is positive, if and only if

$$\begin{aligned} \frac{a}{b \bar{k}} > 1 - \frac{\varepsilon }{1+2 \varepsilon }. \end{aligned}$$
(49)

Next, consider coalition-fringe equilibria.Footnote 26 Inserting \(\mathcal{T}^c (m)\) and \(\mathcal{T}^f (m)\) from (13) into (5) and solving for \(r=0\) establishes that in the coalition-fringe equilibrium the rate of return on capital is positive, if and only if

$$\begin{aligned} \frac{a}{b \bar{k}} > \frac{n (1+2 \varepsilon )[(2n-1) \varepsilon +n-1] - m^2(1+ 2 \varepsilon ) - m [(2n-1) \varepsilon ^2+(n-3) \varepsilon -1]}{(n-m)(1+2 \varepsilon )[(n-1) (1+2 \varepsilon ) + (1+\varepsilon )m]} =: Q(m). \end{aligned}$$
(50)

Differentiation of Q(m) with respect to m yields after rearrangement of terms

$$\begin{aligned} Q_m = \frac{\varepsilon [n(1+2\varepsilon ) - \varepsilon ][(2m-1) n (1+2 \varepsilon ) -m^2 \varepsilon ]}{(n-m)^2(1+ \varepsilon )[(n-1) (1+2 \varepsilon ) + (1+\varepsilon )m]^2}. \end{aligned}$$
(51)

Observe that \(Q_m>0\) for all \(m \in [1, n-1]\). Hence, Q(m) attains its largest value at \(n-1\), formally

$$\begin{aligned} Q(n-1) = \frac{2(n-1)+(n^2+5n-5) \varepsilon +(2n^2+n-1) \varepsilon ^2}{(n-1)(2 \varepsilon ^2+5\varepsilon +2)}. \end{aligned}$$
(52)

Finally, verify that

$$\begin{aligned} Q(n-1) -1-\frac{\varepsilon }{1+2 \varepsilon } = \frac{\left[ (n-1)(2+3 \varepsilon - \varepsilon ^2)+ n^2(1+2\varepsilon )^2\right] \varepsilon }{(n-1)(1+2\varepsilon )(3\varepsilon ^2 +5 \varepsilon +2)}>0. \end{aligned}$$
(53)

In view of (49)–(53) an economy is feasible if the parameters \((a, b , \bar{k},n, \varepsilon )\) satisfy

$$\begin{aligned} \frac{a}{b \bar{k}} > \frac{2(n-1)+(n^2+5n-5) \varepsilon +(2n^2+n-1) \varepsilon ^2}{(n-1)(2 \varepsilon ^2+5\varepsilon +2)}. \end{aligned}$$
(54)

The non-negativity of the rate of return on capital for Example 1 is shown in Figs 8.

Fig. 8
figure 8

Interest rate (Example 1)

1.5 Appendix E: Proof of (20)–(23)

Making use of \(\hat{w} = (1+\varepsilon ) a \bar{k} - b \bar{k}^2 \left( \frac{1}{2} +\varepsilon \right) \) and inserting \(t_c^*\) and \(t_f^*\) from (29) and (30) in \(W^f(t_c, t_f, m)\) yields after rearrangement of terms

$$\begin{aligned}&\mathcal{W}^f(n-1) - \hat{w} = a \varepsilon \bar{k} \end{aligned}$$
(55)
$$\begin{aligned}&+ \frac{\left[ n^3 \varepsilon (1+ 3 \varepsilon + 2 \varepsilon ^2 ) + n^2 \varepsilon (1+ 3 \varepsilon + 4 \varepsilon ^2) +4 n (2+9 \varepsilon + 13 \varepsilon ^2 + 5 \varepsilon ^3) -2(4+18 \varepsilon + 25 \varepsilon ^2 + 9 \varepsilon ^3)\right] b \varepsilon \bar{k}^2}{2(n-1) (1+ \varepsilon )(2+ 3 \varepsilon )^2}. \end{aligned}$$
(56)

Setting \(\mathcal{W}^f(n-1) - \hat{w}\) equal to zero and solving for \(\frac{a}{b \bar{k}}\) yields after rearrangement of terms

$$\begin{aligned} \frac{a}{b \bar{k}}= & {} \frac{8(n-1) +\left[ n^2(n+1) +36(n-1) \right] \varepsilon +\left[ 3n^2(n+1) +52n -50 \right] \varepsilon ^2}{2(n-1) (1+ \varepsilon )(2+ 3 \varepsilon )^2}\\+ & {} \frac{\left[ 2n^2(n+2) +20n -18 \right] \varepsilon ^3}{2(n-1) (1+ \varepsilon )(2+ 3 \varepsilon )^2}=:F(\varepsilon , n). \end{aligned}$$
(57)

It is then straightforward to show that

$$\begin{aligned} \hat{w} - \mathcal{W}^f(n-1)\gtreqless 0 \quad \iff \quad \frac{a}{b \bar{k}} \gtreqless F(\varepsilon , n). \end{aligned}$$
(58)

Differentiation of \(F(\varepsilon ,n )\) with respect to \(\varepsilon \) and n yields

$$\begin{aligned} F_{\varepsilon }= & {} \frac{(1+\varepsilon )^2 (2+5 \varepsilon )n^3+ (2n^2+8n-8) +(9n^2+28n-20)\varepsilon }{2(n-1)(1+\varepsilon )^2(2+\varepsilon )^3}\\+ & {} \frac{(24n^2+8n+8) \varepsilon ^2 +(19n^2-16n +24) \varepsilon ^3}{2(n-1)(1+\varepsilon )^2(2+\varepsilon )^3}>0, \end{aligned}$$
(59)
$$\begin{aligned} F_n= & {} \frac{(n^3-n^2-n) +\left[ 3(n^3-n^2-n)-1 \right] \varepsilon +\left[ 2 n^3-n^2- 4 n \right] \varepsilon ^2}{(n-1)^2(1+\varepsilon )(2+3\varepsilon )^2}>0. \end{aligned}$$
(60)

In addition, the function F has the properties

$$\begin{aligned} F(n, 0)= & {} 1,\quad \lim _{n \rightarrow \infty } F(\varepsilon , n) = \infty ,\qquad (\text{E}7) \\ \lim _{\varepsilon \rightarrow \infty } F(\varepsilon , n)= & {} \frac{n^3 + 2 n^2 +10 n -9}{9(n-1)}=: \bar{F} (n)>0,\qquad (\text{E}8) \end{aligned}$$

and it holds \(\bar{F}_n (n) = \frac{2 n^3 -n^2 - 1-4n}{9(n-1)^2} >0\) for \(n \ge 2\).

Appendix F: Proof of Proposition 3

The proof of Proposition 3 follows from Table 1 and is supplemented by Fig. 9 which illustrates the function \(\tilde{M}(\varepsilon , n)\) for \(n \in [10, 200]\) and \(\varepsilon \in [0,2]\). Analogous figures can be generated for \(\varepsilon >2\).

Fig. 9
figure 9

The function \(\tilde{M} (\varepsilon , n)\)

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Eichner, T., Pethig, R. Self-enforcing capital tax coordination. J Bus Econ 88, 915–940 (2018). https://doi.org/10.1007/s11573-018-0895-7

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