A. Appendix
A.4. Minimum Tax Anticipated
In the following, we show that even when the minimum tax is anticipated, rents for the respective governments have the same qualitative characterization as in Section 5.1 where public good provision was fixed. Specifically, rB(0, xµB(ε)) is monotonically increasing in ε while rA(0, xµB(ε)) is concave in ε with a unique optimum that defines the lower bound of the non-renegotiable minimum tax frontier.
We assume that the imposition of the minimum tax is anticipated before the start of Stage 1, so each government takes the minimum tax into account when determining the level of public good provision. Thus, the minimum tax is agreed upon after which the sequence of events is exactly as in Section 4. Best response taxes with the minimum tax are as follows:
if xB > xA then τµA = 13k
xBθ−xAθ
+ε and τµB = 23k
xBθ−xAθ
+ 12ε; on the other hand if xA > xB then τµA = 23k
xAθ−xBθ
+ 12ε and τµB = 13k
xAθ−xBθ
+ε. If xA = xB then τµA = τµB = 0. But now the levels of public good provision xA and xB are determined optimally in Stage 1. Using these expressions for τµA and τµB, Government A’s rent function is defined as follows for ε∈
0,23kxBθ−xAθ: rµA(xA, xB;ε) =
⎧⎪
⎨
⎪⎩
19k
xBθ−xAθ
−xA+16ε− 2k(xBθ1−xAθ)ε2 if 0≤xA < xB;
−xA if 0≤xA=xB;
49k
xAθ−xBθ
−xA+23ε+ 1
4k(xAθ−xBθ)ε2 if 0≤xB < xA.
(A.7)
For Government B,
rBµ(xA, xB;ε) =
⎧⎪
⎨
⎪⎩
49k
xBθ−xAθ
−xB+ 23ε+ 1
4k(xBθ−xAθ)ε2 if 0≤xA< xB;
−xB if 0≤xA=xB;
19k
xAθ−xBθ
−xB+ 16ε− 2k(xAθ1−xBθ)ε2 if 0≤xB < xA.
(A.8)
As was the case for when there was no minimum tax, when it maximizesrAµ(xA, xB;ε) a level of public good provision xµA(ε) of Government A is a best response against a level of public good provision BRA(xB;ε).47 A Nash equilibrium in levels of public good provision is a pair (xµA(ε), xµB(ε)) where xµA(ε) is a best response against xµB(ε) and vice-versa.
The characterization of equilibrium is technically the same as discussed in Section 4.2 for the case with no minimum tax; see the appendix for details. The equilibrium is asymmetric, with one government providing no public good and the other providing the public good at a positive level. As before, w.o.l.o.g. we let A be the country with no public good provision in equilibrium; xµA(ε) = 0. The top panel of Figure 3 shows a plot of xµB(ε) while the bottom panel shows 1−sˆ(0, xµB(ε)) for k = 1 (andθ = 12) as ε is varied.48 Note from the bottom panel that 1−sˆ(0, xµB(ε)) is increasing in ε and 1−ˆs(0, xµB(ε)) = 1 for ε= 23k
xBθ −xAθ
= 365 . Also note that all values forε= 0 correspond to equilibrium values given in Proposition 3. Thus, atε= 0,xµB(0) =xµB =2
9
2
. The top panel shows thatxµB(ε) decreases monotonically with ε until the point where 1−sˆ(0, xµB(ε)) = 1. Government B’s incentive to compete in public good provision (by offering the public good at a higher level than Government A) is reduced by the fact that Government A is limited in the extent to which it is allowed to set its tax lower than B’s.
Turning to Figure 4, we see that for k= 1, θ= 12, rents for the respective governments have the same qualitative characterization as in Section 5.1 where public good provision was fixed. Thus, as claimed, rB(0, xµB(ε)) is monotonically increasing in ε while rA(0, xµB(ε)) is concave in ε. The non-renegotiable minimum tax frontier is shown in Figure 4 as the interval ε ∈ [ε, ε). The upper and lower bounds, ε and ε, are defined in the same way as in Proposition 4. For ε < εboth governments would agree to implement a higher minimum tax. But for ε > ε, Government A makes higher rent with no minimum tax.
47Note the distinction we make between the best response function and rent function with and without the minimum tax; the functions are shown to be dependent on the parameterεin the former case.
48We have written ˆs(τA, τB, xA, xB) in the form ˆs(0, xµB(ε)) to represent the fact that taxesτA=τµA and τB =τµB have been determined as functions ofxµA(ε) = 0 andxµB(ε).
Minimum Tax Anticipated: Characterization of Equilibrium. To determine Gov- ernment A’s set of best responses with the minimum tax, we investigate the properties of rµA(xA, xB;ε). First we check the range 0 ≤ xA < xB, over which rAµ(xA, xB;ε) =
19k
xBθ−xAθ
−xA+16ε−ε2/2k
xBθ−xAθ
. Taking the first derivative, we have drA/dxA=
−1−θxθ−1A
2k2+ 9ε2/
xBθ−xAθ2
/18k <0;rAµ(xA, xB;ε) is everywhere downward slop- ing over the range 0 ≤ xA < xB. Now note that rAµ(xA, xB;ε) >−xA at xA =xB > 0 for ε ∈
0,23k
xBθ−xAθ
, and rµA(xA, xB;ε) = −xA at xA = xB > 0 for ε = 23k
xBθ−xAθ . We can conclude that rAµ(xA, xB;ε)≥ −xA for all ε asxA →xB from below. Consequently, xA= 0 maximizes rAµ(xA, xB;ε) for the range 0≤xA< xB and xA= 0 dominates xA=xB. Thus xµA(ε) = 0 is the best response over the range 0≤xA < xB.
If on the other hand 0 ≤ xB < xA, then rAµ(xA, xB;ε) = 49k
xAθ−xBθ
−xA+ 23ε+ ε2/4k
xAθ−xBθ
. Taking the first derivative, we have drA/dxA=−1 + 4
9kθxθ−1A
1−9ε2/16
xAθ−xBθ2 .
We cannot solve explicitly for xµA(ε) over the range 0 ≤ xB < xA without specifying θ. However, by specifying values of ε we can obtain a characterization of xµA(ε). To illustrate, fixεat its maximum admissible valueε =ε= 23k
xBθ−xAθ
, and substitute this into the first derivative. We have drA/dxA=−1 +125kθxθ−1A . Setting the result equal to zero and solving, we have xµA(ε) = 5
12θk1−θ1
. Then, following the same logic as in Section 4.2 preceding Proposition 3, and using the assumption that xA < xB, we have that (xµA(ε), xµB(ε)) =
0, 5
12θk1−θ1
is the unique Nash equilibrium. Taxes are obviously the same across countries for ε=ε, at τµA=τµB =k 5
12θk θ
1−θ and ˆs= 1.
Notice that xµA(ε) = 5
12θk1−θ1
< xµA(0) = 4
9θk1−θ1
. More generally, by the implicit function theorem we know thatxµA(ε) may be treated as a continuous function of ε. It can be established that xµA(ε) is inversely related to ε as ε is varied over the interval ε ∈ [0, ε] for 0 ≤ xB < xA. Following, once again the, same logic as in Section 4.2 we have that (xµA(ε), xµB(ε)) = (0, BRB(0;ε)) is the unique Nash equilibrium (given thatxA < xB).49
We want to go one step further, and investigate the behavior of rA(0, BRB(0;ε) ;ε) and rB(0, BRB(0;ε) ;ε) as ε is varied in order to determine the non-renegotiable minimum tax frontier. While this cannot be done at a general level, it can be done for the specific
49By the same arguments as in Section 4.2,BRB(0;ε)= 0.
value θ = 12, which we believe to be generally illustrative. We maintain the assumption that xA < xB and solve for xµB(ε). This root is very cumbersome to write down, and since xµA(ε) = 0 is a dominant strategy for Government A we jump straight to the equilibrium value:
x∗B(ε) = 512 (−2)1/3k8−(−2)2/3φ2/3+ 16k4
−2187 (−2)1/3ε2 + 2φ1/3
/
1944φ1/3
where
φ =−8192k12+ 839808k8ε2−14348907k4ε4+ 59049√
−768k12ε6+ 59049k8ε8.
This solution for xµB(ε) is illustrated for k = 1 in Figure 3 and used to define the non- renegotiable minimum tax frontier illustrated in Figure 4.