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Sequential entry and merger in spatial price discrimination

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Abstract

This paper newly introduces sequential entry into previous models of spatial price discrimination that examine location choices made in anticipation of a potential merger. While merger with simultaneous entry routinely reduces social welfare, we show that mergers frequently improve welfare. The extent of welfare improving mergers varies inversely with the timing advantage of an excluded rival. When the rival locates alone in the first stage, the merger harms welfare. When the rival locates alone in the last stage, the merger improves welfare. These results hold true when allocating three firms across either two or three location stages. Thus, allowing staged entry dramatically alters and often reverses the conclusion previously drawn on the basis of simultaneous entry.

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Notes

  1. One further assumption is that the production is characterized by constant marginal cost as Gupta (1994) shows that when production is characterized by increasing marginal cost, firms will not locate efficiently. As a consequence, the welfare implications of merger in an otherwise equal case of increasing marginal production cost remain unclear and unexamined.

  2. We note that Rothschild et al. (2007) consider a sequential entry model with spatial price discrimination in which firms merge prior to location choices (or make binding side payments prior to location choices). Thus, the merged firm locates two plants so as to limit the market of an excluded rival. While this model recognizes the timing advantage associated with sequential entry, it reverses the traditional game structure of non-cooperative location decisions happening prior to (but in expectation) of a subsequent merger.

  3. Thus, airline flights between city pairs differ by departure time from early morning to late evening, the editorial policies of newspapers differ from liberal left to conservative right, and breakfast cereals differ in their sugar content.

  4. When relaxing the assumption that \(\alpha =1/2\), it continues to be the case that for any merger that happens, welfare will fall. However, for either very large or very small values of \(\alpha \), one of the merging firms losses profit with the merger, and so it will not go forward.

  5. As with the two-stage location game, if the second entrant retain a larger share of the incremental profit from merger, it is possible to have a profitable merger (cite).

  6. The middle firm is more likely to jump since it does not have the extra corner profit of the other follower. Thus, the no-jump condition from the middle firm binds rather than that from the firm in the right corner.

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Acknowledgments

Ye thanks the Fundamental Research Fund of Renmin University of China, and the Program of New Century Excellent Talents in University for Central Universities for Support.

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Correspondence to Guangliang Ye.

Appendices

Appendix 1: The benchmark cases without merger in two-stage entry

In this section, we identify the locations and welfare from two benchmark cases without the possibility of merger.

1.1 Benchmark case 1: One firm enters in stage one

A profit maximizing first entrant locates at the corner, and we assign it \(L_1 \). The two followers’ best responses in terms of leader’s location are

$$\begin{aligned} \begin{aligned} L_2&=\frac{2+3L_1 }{5}\\ L_3&=\frac{4+L_1 }{5} \end{aligned} \end{aligned}$$
(25)

Thus, the profit of the firm in the middle becomes \(\pi _2 =\frac{2(1-L_1)^{2}t}{25}\). In order to maintain its profitable corner location, the leader must locate such that no firm earns greater profit locating on its left (the “no jump condition”). The profit of firm 2 if it jumps to the leader’s left corner is \(\pi _2^j =\frac{(L_1)^{2}t}{3}\).Footnote 6 The no jump condition requires that this profit just equal that when it is in the middle, \(\pi _2^ =\pi _2^j \). This implies that \(L_1^{2j} =0.329\). The unconstrained profit maximization, \(L^u =\frac{4}{9}\), is such that \(L_1^u \ge L_1^j \). Thus, the no-jump condition implies the equilibrium locations:

$$\begin{aligned} \begin{aligned} L_1^{B1}&=0.329 \\ L_2^{B1}&=0.597 \\ L_3^{B1}&=0.866 \end{aligned} \end{aligned}$$
(26)

The profit and welfare of the three firms follow immediately:

$$\begin{aligned} \begin{aligned} \pi _1^{B1}&=0.106t \\ \pi _2^{B1}&=0.036t \\ \pi _3^{B1}&=0.054t \\ W^{B1}&=r-0.099t \end{aligned} \end{aligned}$$
(27)

This result exactly mimics Heywood and Ye (2009) when \(n=3\).

1.2 Benchmark case 2: Two firms enter in stage 1

When two firms enter in stage one, each locates at a corner to obtain the extra profit. They also move toward the center as much as possible such that firm 2 (in stage two) is indifferent between locating in the middle and jumping to a corner. The symmetry of two leaders implies that \(L_1=1-L_3 \) and firm 2 maximizes profit at \(L_2 =\frac{L_1+L_3 }{2}\). The no-jump condition equates the profit of this middle location, \(\pi _2 =\frac{(1-2L_1)^{2}t}{8}\), with that if it jumped, \(\pi _2^j =\frac{(L_1)^{2}t}{3}\). This implies that

$$\begin{aligned} \begin{aligned} L_1^{B2}&=0.275\\ L_2^{B2}&=0.500\\ L_3^{B2}&=0.725 \end{aligned} \end{aligned}$$
(28)

Firms’ profit and welfare are

$$\begin{aligned} \begin{aligned} \pi _1^{B2}&=\pi _3^{B2} =0.074t\\ \pi _2^{B2}&=0.025t \\ W^{B2}&=r-0.101t \end{aligned} \end{aligned}$$
(29)

This result exactly mimics Gupta (1992).

Appendix 2: The benchmark case without merger in three stage entry

In this section, we identify the locations and welfare from the benchmark case without the possibility of merger. When first two firms have timing advantage, each locates at a corner to obtain the extra profit. They also move toward the center as much as possible such that the third firm is indifferent between locating in the middle and jumping to a corner. The symmetry of two early movers implies that \(L_1 =1-L_2 \), and the middle firm maximizes profit at \(L_3 =\frac{L_1^ +L_2 }{2}\). The no-jump condition equates the profit of the third firm in the middle, \(\pi _3 =\frac{(1-2L_1 )^{2}t}{8}\), with that if it jumped, \(\pi _3^j =\frac{(L_1)^{2}t}{3}\). This implies that

$$\begin{aligned} \begin{aligned} L_1^{B3}&=0.275 \\ L_2^{B3}&=0.725 \\ L_3^{B3}&=0.500 \end{aligned} \end{aligned}$$
(30)

Please note that subscripts denote the timing of firms in the rest of this paper, and thus, firm 3 may locate on the left to firm 2. Firms’ profit and welfare are

$$\begin{aligned} \begin{aligned} \pi _1^{B3}&=\pi _2^{B3} =0.074t\\ \pi _3^{B3}&=0.025t \\ W^{B3}&=r-0.101t \end{aligned} \end{aligned}$$
(31)

This result exactly mimics Gupta (1992). We will now examine the three possible divisions of our firms comparing each possibility with merger to the relevant benchmark.

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Heywood, J.S., Ye, G. Sequential entry and merger in spatial price discrimination. Ann Reg Sci 50, 841–859 (2013). https://doi.org/10.1007/s00168-012-0516-2

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