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Competition with Nonexclusive Contracts: Tackling the Hold-Up Problem

  • Guillem Roig EMAIL logo
Published/Copyright: March 13, 2020

Abstract

In an environment in which a buyer and a seller make ex-ante investments, competition among sellers can solve the hold-up problem without the design of ex-ante contracts but, in the case of low levels of competition, this may lead to inefficient investments. This paper shows that a seller invests efficiently when each seller offers latent contracts designed to exclude any other seller from trade (i. e. most intense competition). Because competition among sellers allows the buyer to appropriate part of the gains from his investment, the hold-up problem vanishes for most of the buyer’s investment costs. However, the seller appropriates more than his marginal contribution to the gains from trade, and over-invests, when a group of sellers does not offer latent contracts (under less intense competition). Therefore, efficient investments can only be implemented when competition is at its most intense.

JEL Classification: D44; L11

Acknowledgements

This article is based on the first chapter of my thesis. I thank my advisor Jacques Crémer for his insightful comments that were essential for the development of this article. I am also grateful to Zhijun Chen, Vincenzo Denicolò, Nisvan Erkal, Natalia Fabra, Simona Fabrizi, Olga Gorelkina, Inés Macho-Standler, Steffen Lippert, Gerard Llobet, Martin Pollrich, Santiago Sánchez Pagués, and Jun Xiao. I thank the participants at the Australasian Theory Workshop; Deakin University; Auckland University; Monash University; UAB; Universitat de Barcelona; Universitat Rovira i Virgili and the ENTER conference.

Appendix

A

Proof of Lemma 1. I start by showing how Seller 1’s investment affects the equilibrium allocation. Without loss of generality, I take b = 0, and substitute U(Xb=0) for U(X*) in the analysis that follows. Differentiating eq. (5) for xj and ji with respect to σ gives:

(22)Uxx(X)×h=1Ndxhdσ=Cxx(xj)×dxjdσ.

Because the left-hand side is independent of j, all dxj/dσ have the same sign. Now, suppose also that dx1/dσ has that same sign. Then, the sum also has that sign, and because Uxx( · ) < 0 and Cxx( · ) > 0, this leads to a contradiction. Now, suppose dx1/dσ<0. The other signs therefore have to be positive. By eq. (22), I find that h=1Ndxh/dσ<0. However, differentiating x1 in (5) with respect to σ

(23)Uxx(X)×h=1Ndxhdσ=Cxx(x1σ)×dx1dσ+Cxσ(x1σ),

would then have a positive left-hand side and negative right-hand side because of Cxσ( · ) < 0, which is a contradiction. Thus, I have shown (1) and (2) of point (i) of the lemma. Regarding eq. (22), point (3) follows from X/σ=h=1Ndxh/dσ. For the effect of the buyer’s investment, I make use of (5), to obtain:

Cx(x1σ)=Ux(Xb=1)>Ux(Xb=0)=Cx(x1σ)for1,Cx(xj)=Ux(Xb=1)>Ux(Xb=0)=Cx(xj)forj1.

The strict inequality comes from the assumptions of the model and the convexity of the production cost function.

Proof of Lemma 2. Eliminating (b, σ) to simplify, point (i) of the lemma states that X>X{Ji,i}+jJix~j(Ji). Then, because hJi,ixh=X{Ji,i} the previous condition is equivalent to jJixj+xi>jJix~j(Ji). Because xi>0, and if jJi(xjx~j(Ji))>0, the result is shown. If the previous statement is true, it has to be true for any seller jJi. If xj>x~j(Ji); thus, the claim is proved. If the converse occurs, xj<x~j(Ji), then from the efficient allocation, it has to be that:

(24)Ux(X{Ji,i}+jJix~j(Ji))=Cx(x~j(Ji))>Cx(xj)=Ux(X),

and by the concavity of U( · ), the claim is true. Equation (24) also implies that x~j(Ji)>xj for any jJi.

Proof of Lemma 3. For any investment profile (b, σ), JiJi, x~i(b,σJi)x~i(b,σJi). Eliminating (b, σ), and using a similar argument as given in the proof of Lemma 2 shows that if X{Ji,i}+jJix~j(Ji)X{Ji,i}+jJix~j(Ji), then x~i(Ji)x~i(Ji). Thus, I obtain:

(25)jJiJi(xjx~j(Ji))+jJi(x~j(Ji)x~j(Ji))0.

From Lemma 2, xj<x~j(Ji), and for (25) to be true, I need x~j(Ji)x~j(Ji), which is a contradiction. Then, the only possibility is that X{Ji,i}+jJix~j(Ji)X{Ji,i}+jJix~j(Ji), giving x~j(Ji)x~j(Ji). The equilibrium transfer is non-increasing with the number of sellers offering latent contracts Ti(Ji)Ti(Ji). In Ti(Ji)=TSTS~i(Ji)+Ci(xi), TS* and Ci(xi) do not depend on Ji. Then, a necessary and sufficient condition for Ti(Ji)Ti(Ji) is that TS~i(Ji)TS~i(Ji). Therefore,

TS~i(Ji)=[U(X{Ji,i}+jJix~j(Ji))(jJiCj(x~j(Ji))+jN{Ji,i}Cj(xj))]>U(X{Ji,i}+jJix~j(Ji))U(X{Ji,i}+jJix~j(Ji))+TS~i(Ji)TS~i(Ji)TS~i(Ji)>U(X{Ji,i}+jJix~j(Ji))U(X{Ji,i}+jJix~j(Ji))=X{Ji,i}+jJix~j(Ji)X{Ji,i}+jJix~j(Ji)Ux(τ)dτ>0.

The first strict inequality comes from the convex production cost. The last line results from the fundamental theorem of calculus. The inequality comes from X{Ji,i}+jJix~j(Ji)X{Ji,i}+jJix~j(Ji) and Ux( · ) > 0.

Proof of Proposition 1. Eliminating (b, σ), the payoff for each seller i is equal to πi(Ji)=Ti(Ji)Ci(xi). Introducing the equilibrium transfers in (10) gives πi(Ji)=TSTS~i(Ji). The buyer obtains:

π0(Ji)=U(X)iNTi(Ji)k×b=U(X)[iN(TSTS~i(Ji)+Ci(xi))]k×b=U(X)iNCi(xi)[iTSTS~i(Ji)]k×b=TSiN(TSTS~i(Ji))k×b.

The proof of point (ii) is immediate from the equilibrium condition considered in Chiesa and Denicolò (2009) in their Proposition 1; a vector (π0,π1,π2,,πN) is a vector of equilibrium payoffs if and only if it satisfies the condition that π0+π1+π2++πN=TS. Then, decreasing the equilibrium transfer reduces the payoff for suppliers and increases the payoff for the buyer.

To show that there is no profitable deviation, consider an equilibrium in which each seller i’s payoff is constrained by a number n of sellers who offer latent contracts. Let mi={xi,Ti} and mi0={0,0} for iN be the efficient contract and the null contract respectively. Consider that sellers i = n + 2,..., N only offer the efficient and the null contract, Mi={mi,mi0} for i = n + 2,..., N. The other sellers also offer latent contracts. Seller 1, offers a latent contract m~1={x~1,T~1}, designed to compete for the equilibrium allocation of any seller i1 given that a number n – 1 sellers are also offering latent contracts. Then, M1={m1,m10,m~1}. Sellers i = 2, 3,..., n, n + 1 offer two latent contracts, one m~i1={x~i1,T~i1} designed to replace Seller 1, and the other m~iiN{1}={x~iiN{1},T~iiN{1}} for the exclusion of any other seller i1. Then, Mi={mi,mi0,m~i1,m~iiN{1}} for i = 2, 3,..., n, n + 1. To show that the payoffs presented in Proposition 1 constitute an equilibrium, I use:

(26)T~j=Tj+Cj(x~j)Cj(xj),jJi,

and

(27)Vh(X{Ji,i}+jJi{h}x~j)=maxxh[U(X{Ji,i}+jJi{h}x~j+xh)Ch(xh)].

The buyer cannot earn more from accepting the latent contracts after excluding seller i than by choosing the efficient contract mj instead of the latent contract m~j for some jJi.

π0(Ji)=U(X{Ji,i}+jJix~j)jN{Ji,i}TjjJiT~j=U(X{Ji,i}+jJix~j)jN{Ji,i}TjjJi{h}T~jThCh(x~h)+Ch(xh)=Vh(X{Ji,i}+jJi{h}x~j)jN{Ji,i}TjjJi{h}T~jTh+Ch(xh)>U(X{Ji,i}+jJi{h}x~j+xh)jN{Ji,i}TjjJi{h}T~jTh.

The first line stands for the equilibrium payoffs of the buyer. The first equality comes from introducing (26), and the second from (27). The last line represents the payoffs of the buyer by accepting contract mh instead of m~h. Also, the buyer does not obtain larger profits by selecting another latent contract, i. e. instead of choosing m~ji, the buyer chooses m~hpi for j, hJi.

π0(Ji)=U(X{Ji,i}+jJix~ji)jN{Ji,i}TjjJiT~ji=U(X{Ji,i}+jJix~ji)jN{Ji,i}TjjJi{h}T~jiThCh(x~hi)+Ch(xh)=U(X{Ji,i}+jJix~ji)jN{Ji,i}TjjJi{h}T~jT~hpiCh(x~hi)+Ch(x~hpi)=Vh(X{Ji,i}+jJi{h}x~ji)jN{Ji,i}TjjJi{h}T~jiT~hpi+Ch(x~hpi)>U(X{Ji,i}+jJi{h}x~j+x~hpi)jN{Ji,i}TjjJi{h}T~jT~hpi.

The buyer does not obtain a larger payoff by choosing mi0ΩN for Ω∣>1. Take Ω∣=2 and, because Ti<U(X)U(Xi), and the concavity of U(X) implies that:

Ti<U(X{Ji,i}+jJix~j)U(X{Ji,i}+jJix~jxi).

If the buyer accepts the null contract for seller i it obtains larger payoffs by choosing the equilibrium contract for seller i'. This is true for any Ω∣>1.

Proof of Lemma 4. To show point (iii) of the lemma, I use a continuous approximation of γ(J1). Then, differentiating expression (17) in the lemma with respect to J1, and applying the Leibniz rule, I obtain:

γ(J1)J1=(XX{J1,1}+jJ1x~j(J1)Uxx(τ)dτ)×dxldσUxx(X{J1,1}+jJ1x~j(J1))×(X{J1,1}+jJx~j(J1))J1(+)×dxldσ<0,

The sign comes from Lemma 2 and the regularity conditions.

Proof of Lemma 5. To demonstrate that the buyer does not over-invest, I compare the investing threshold in (18) against the efficient investment rule in (7). For a given investment of the seller, I obtain:

(28)K^(σ,J)K=iN[TS(1,σ)TS~i(1,σJi)(TS(0,σ)TS~i(0,σJi))].

A sufficient and necessary condition for K^(σ,J)<K is that for any seller i , TS(1,σ)TS~i(1,σJi)>TS(0,σ)TS~i(0,σJi). Then,

TS(1,σ)TS~i(1,σJi)=U(X(1,σ)1)iNCi(xi(1,σ))[U(X{Ji,i}(1,σ)+jJix~j(1,σ|Ji)1)(jJiCj(x~j(1,σ|Ji))+jN{Ji,i}Cj(xj(1,σ|Ji)))]>U(X(0,σ)1)U(X{Ji,i}(0,σ)+jJix~j(0,σ|Ji)|1)[U(X(0,σ)0)U(X{Ji,i}(0,σ)+jJix~j(0,σ|Ji)|0)]+TS(0,σ)TS~i(0,σJi)

The inequality results from the inefficient allocation generated when the trading allocation is substituted by the allocation when the buyer does not invest. The fundamental theorem of calculus gives:

TS(1,σ)TS~i(1,σJi)(TS(0,σ)TS~i(0,σJi))>X(0,σ)(X{Ji,i}(0,σ)+jJix~j(0,σ|Ji))X(0,σ)(X{Ji,i}(0,σ)+jJix~j(0,σ|Ji))(Ux(τ1)Ux(τ0))dτ=0.

To show that K^(σ,J) does not decrease with the increasing intensity of competition, I make use of the following claim.

Claim 1.For a fixed seller’s investment and JiJi,

TS~i(1,σJi)TS~i(1,σJi)TS~i(0,σJi)TS~i(0,σJi)foralliN.

Proof

Operating, I obtain:

TS~i(1,σJi)TS~i(1,σJi)=U(X{Ji,i}(1,σ)+jJix~j(1,σ|Ji)|1)(jJiCj(x~j(1,σ|Ji))+jN{Ji,i}Cj(xj(1,σ|Ji)))[U(X{Ji,i}(1,σ)+jJix~j(1,σ|Ji)|1)(jJiCj(x~j(1,σ|Ji))+jN{Ji,i}Cj(xj(1,σ|Ji)))]>U(X{Ji,i}(0,σ)+jJix~j(0,σ|Ji)1)U(X{Ji,i}(0,σ)+jJix~j(0,σ|Ji)1)[U(X{Ji,i}(0,σ)+jJix~j(0,σ|Ji)|0)U(X{Ji,i}(0,σ)+jJix~j(0,σ|Ji)|0)]+TS~i(0,σJi)TS~i(0,σJi)foralliN.

The inequality results from the inefficient allocation that is generated when the trading allocation is substituted by the allocation when the buyer does not invest. The fundamental theorem of calculus gives:

TS~i(1,σJi)TS~i(1,σJi)[TS~i(0,σJi)TS~i(0,σJi)]>X{Ji,i}(0,σ)+jJix~j(0,σ|Ji)X{Ji,i}(0,σ)+jJix~j(0,σ|Ji)(Ux(τ1)Ux(τ0))dτ>0,

where the last inequality results from Lemma 3 and the regularity conditions.

For any JiJi and a fixed investment of the seller, the difference in investment threshold becomes

K^(σ,J)K^(σ,J)=iN(Ti(1,σJi)Ti(0,σ|Ji))iN(Ti(1,σJi)Ti(0,σ|Ji))=N×[TS(1,σ)TS(0,σ)]iN[TS~i(1,σJi)TS~i(0,σJi)]N×[TS(1,σ)TS(0,σ)]+iN[TS~i(1,σJi)TS~i(0,σJi)]=iN[TS~i(1,σJi)TS~i(0,σJi)(TS~i(1,σJi)TS~i(0,σJi))]>0,

and Claim 1 explains the last inequality.

Proof of Lemma 6. When the allocative sensitivity is small, for any J1J1, then σb(J1)σb(J1), and TS(1,σ1(J1))TS(0,σ0(J1))TS(1,σ1(J1))TS(0,σ0(J1)). Then, for JiJi,

(29)K^(J)K^(J)=iN[TS~i(1,σJi)TS~i(0,σJi)]iN[TS~i(1,σJi)TS~i(0,σJi)].

Because σb(J1)σb(J1), from Claim 1 in the proof of Lemma 5, the investing threshold of the buyer does not decrease with the intensity of competition, K^(J)>K^(J). When the allocative sensitivity makes the investments of the seller change with competition, Lemma 4 shows that σb(J1)>σb(J1), and

K^(J)K^(J)=(N1)×[TS(1,σ1(J1))TS(0,σ0(J1))(TS(1,σ1(J1))TS(0,σ0(J1))]+iN[TS~i(1,σ1(J1)Ji)Ci(xi(1,σ1(J1)))(TS~i(0,σ0(J1)Ji)Ci(xi(0,σ0(J1))))]iN[TS~i(1,σ1(J1)Ji)Ci(xi(1,σ1(J1)))(TS~i(0,σ0(J1)Ji)Ci(xi(0,σ0(J1))))].

Defining:

γ0(ΔJ)TS(1,σ1(J1))TS(0,σ0(J1))[TS(1,σ1(J1))TS(0,σ0(J1)];γ1(ΔJ1)TS~1(1,σ1(J1)J1)C1(x1(1,σ1(J1))σ1(J1))TS~1(0,σ0(J1)J1)+C1(x1(0,σ0(J1))σ0(J1))TS~1(1,σ1(J1)J1)+C1(x1(1,σ1(J1))σ1(J1))+TS~1(0,σ0(J1)J1)C1(xi(0,σ0(J1))σ0(J1))γi(ΔJi)TS~i(1,σ1(J1)Ji)Ci(xi(1,σ1(J1)))TS~i(0,σ0(J1)Ji)+Ci(xi(0,σ0(J1)))TS~i(1,σ1(J1)Ji)+Ci(xi(1,σ1(J1)))+TS~i(0,σ0(J1)Ji)Ci(xi(0,σ0(J1))).

I obtain:

(30)K^(J)K^(J)(N1)γ0(ΔJ)+γ1(ΔJ1)+i1γi(ΔJi).

The element γ0J) represents the gains from trade as a result of the buyer’s investment, and γ1(ΔJ1) and γi(ΔJi) represent the changes in the sellers’ bargaining position from the buyer’s investment. A small allocative sensitivity implies γ0J) = 0, and both γ1(ΔJ1) and γi(ΔJi) for i1 move in the same direction. This means that K^(J)>K^(J). To show that the threshold may not be monotone with competition, I calculate the lower bound of γ0J) and an upper bound of γ1(ΔJ1) and γi(ΔJi). I study the change of the bounds with respect to the allocative sensitivity. Then, for the lower bound of γ0(J), observe that

TS(1,σ1(J1))TS(0,σ0(J1))=U(X(1,σ1(J1))1)C1(x1(1,σ1(J1)σ1(J1))i1Ci(xi(1,σ1(J1)))(U(X(0,σ0(J1))0)C1(x1(0,σ0(J1)σ0(J1))i1Ci(xi(0,σ0(J1))))>U(X(1,σ1(J1))1)C1(x1(1,σ1(J1)σ1(J1))i1Ci(xi(1,σ1(J1)))(U(X(0,σ0(J1))0)C1(x1(0,σ0(J1)σ0(J1))i1Ci(xi(0,σ0(J1))))=TS(1,σ1(J1))TS(0,σ0(J1))C1(x1(1,σ1(J1)σ1(J1))+C1(x1(1,σ1(J1)σ1(J1))+C1(x1(0,σ0(J1)σ0(J1))C1(x1(0,σ0(ΔJ1)σ0(J1)γ0(J)>x1(0,σ0(J1))x1(1,σ1(J1))Cxσ(τ|J1)dτγ0_(ΔJ).

The first inequality results from an inefficient allocation of trade and the use of Lemma 3. The upper bound for γ1(ΔJ1) and γi(ΔJi) is obtained using a similar argument as in Claim 1 in the proof of Lemma 5. Then,

γ1(ΔJ1)<X{J1,1}(1,σ1(J1))+jJ1x~j(1,σ1(J1)|J1)X{J1,1}(1,σ1(J1))+jJ1x~j(1,σ1(J1)|J1)(Ux(τ1)Ux(τ0))dτγ¯1(ΔJ1)

and

γi(ΔJi)<X{Ji,i}(1,σ1(J1))+jJix~j(1,σ1(J1)|Ji)X{Ji,i}(1,σ1(J1))+jJix~j(1,σ1(J1)|Ji)(Ux(τ1)Ux(τ0))dτγ¯i(ΔJi).

With the bounds of the integral, it can be shown that d(γ0(ΔJ))/(dxi/dσ)>0, d(γ1(ΔJ1))/(dxi/dσ)>0 and d(γi(ΔJi))/(dxi/dσ)<0. Therefore, K^(J)<K^(J). As a result, the buyer’s investment threshold can fail to be monotone with competition or monotonically decrease with competition. The latter case is represented in Figure 2.

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Supplementary Material

The online version of this article offers supplementary material (DOI:https://doi.org/10.1515/bejte-2018-0190).


Published Online: 2020-03-13

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