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A Welfare Analysis of Location Space Constraints with Vertically Separated Sellers

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Abstract

This paper studies the welfare effects of location space constraints when the duopoly sellers are vertically separated. As the downstream firms respond to higher input prices by locating further away from the center of the market, constraining them to locate within the linear city allows the upstream manufacturers better to exploit the downstream industry. This leads to higher final good prices and lower consumer welfare (despite the savings on transportation). This result – which is robust to the inclusion of R&D decisions – is in sharp contrast to the case in which the sellers are vertically integrated. Also different, the incentive to invest in cost-reducing R&D is always insufficient compared with the social optimum. Our results thus suggest the importance of taking into account the vertical market structure in formulating zoning (product standard) and R&D policies.

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Notes

  1. Product positioning can be the selection of geographic locations or the choice of product characteristics. In the latter case, constraining the location space could be interpreted as setting a stricter product standard (to conform to consumer preferences).

  2. In addition to mandatory measures, such goals are usually achieved by a combination of economic incentives (e.g., reduced rates of land use) and non-economic incentives (e.g., simplified project approval procedures).

  3. In location-price games with unit consumer demand, total surplus is determined solely by transportation costs, so the comparison is trivial. On the other hand, helping consumers is usually the objective of government policies with respect to firm locations (see, e.g., Matsumura and Matsushima 2012a; Bárcena-Ruiz and Casado-Izaga 2014). In the antitrust literature, consumer welfare is often the focus, instead of total welfare. Besides, sellers of consumer goods may be owned by foreign investors, and their profits are excluded from the regulator’s objective (Cowan 2012).

  4. After all, we often observe shopping centers locating beyond residential areas. For motivating examples on product characteristics being out of the range that consumers most prefer, see for example Tyagi (1999).

  5. See, for example, McGuire and Staelin (1983), Bonanno and Vickers (1988), Rey and Stiglitz (1995), Chen (2001) and Pagnozzi and Piccolo (2012).

  6. For example, mobile food vendors are free to change their locations. In the context of product characteristics, the downstream retailers of a similar product may offer certain add-on services that are differentiated. It is plausible that such services, which are easily varied, are chosen after the input prices are set so that the profitability of the product is fully known.

  7. In Sect. 5, we relax this assumption by allowing firms to invest in cost-reducing R&D.

  8. It is worth noting that the baseline scenario also fits situations in which the input is purchased but from an upstream market that is either perfectly competitive or under price regulation.

  9. This vertical scenario also characterizes situations in which the manufacturers do not sell the products directly to consumers but through their respective retailers. Correspondingly, in the baseline scenario, the manufacturers sell directly to final consumers.

  10. Such an arrangement, which is described as exclusive dealing in the antitrust literature, is a common practice in businesses such as car dealerships, fast food chains, and similar franchise arrangements.

  11. We focus on linear pricing, which is also called a wholesale-price contract in the marketing literature.

  12. These results hold even if \(w_j\ne c\), provided that \(w_j\) is constant.

  13. Since the market is covered, the loss of sales is solely to the other downstream firm.

  14. With location-price competition, a higher cost makes a firm less competitive; and to buffer competition it chooses to locate further away from the center of the market (Tyagi 2001).

  15. If the upstream manufacturers use two-part tariffs in selling the input, the double marginalization problem is eliminated and this result will not be obtained.

  16. According to Porter (1980), low cost and differentiated product are two of the three “generic” competitive strategies of a firm.

  17. Matsumura and Matsushima (2012b) have focused on the comparison of the R&D level only.

  18. The difference in price, as shown in the proof, is equal to the difference in R&D intensities in the two models minus half of t.

  19. The socially optimum R&D level is defined by \(I'(d^{*})=1/2\).

  20. This equilibrium outcome is due to the fact that the market is covered. In the conclusion we briefly discuss what may happen when consumer demand for the final product is elastic.

  21. Flexibility in product positioning or location is even more desired when the downstream firms in the separated structure are local firms but the upstream firms are foreign.

  22. Nonetheless, the magnitude of the price decrease that is due to location flexibility may be changed with elastic consumer demand, and must be weighed against the increase in transportation cost when determining the welfare impact on consumers.

  23. For example, investment in R&D may be targeted to reduce congestion (Matsumura and Matsushima 2007) or transportation cost (von Ungern-Sternberg 1988; Matsumura and Shimizu 2011). In other contexts, there may be spillover effects from R&D (d’Aspremont and Jacquemin 1988), and initial asymmetries between firms can change the R&D results that are obtained under the assumption of symmetric firms (Lahiri and Ono 1999; Kitahara and Matsumura 2006; Ishida et al. 2011).

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Acknowledgements

We are indebted to the editor, Lawrence J. White, for many valuable comments and suggestions. We also wish to thank two anonymous referees and participants at the Industrial Organization Theory Workshop at Shandong University and the Industrial Organization and International Trade Workshop at Jinan University for helpful comments. Financial support from the National Science Foundation of China (71603083, 71603283) is gratefully acknowledged. The usual disclaimers apply.

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Correspondence to Jie Shuai.

Appendix

Appendix

Proof of Lemma 1

We use backward induction to solve this three stage game. Given the costs of the downstream firms (the input prices), the solutions to the pricing and location stages are

$$\begin{aligned} p_a= & {} \frac{1}{3}(2tx_b-2tx_a+2w_1+w_2+tx_b^2-tx_a^2), \quad p_b=\frac{1}{3}(4tx_b-4tx_a+w_1+2w_2-tx_b^2+tx_a^2),\\ x_a^{vc}=\,& {} 0, \qquad x_b^{vc}=1. \end{aligned}$$

The location of the marginal consumer is

$$\begin{aligned} \hat{x}=\frac{1}{2}+\frac{w_2-w_1}{6t}. \end{aligned}$$

In the first stage of input pricing, the first order conditions are

$$\begin{aligned} \frac{\partial \pi _1}{\partial w_1}=\frac{3t+w_2-2w_1+c}{6t}=0, \qquad \frac{\partial \pi _2}{\partial w_2}=\frac{3t-2w_2+w_1+c}{6t}=0. \end{aligned}$$

It is easy to verify that the second-order conditions are satisfied.

Solving the two first order conditions, we have

$$\begin{aligned} w_1^{vc}=w_2^{vc}=3t+c. \end{aligned}$$

Substituting them back into \(p_a\) and \(p_b\), we have \(p_a=p_b=4t+c\).

The profits that are earned by the downstream firms and the upstream manufacturers are respectively \(\pi _1^{vc}=\pi _1^{vc}=\frac{3t}{2}\) and \(\pi _a^{vc}=\pi _b^{vc}=\frac{t}{2}\), and consumer surplus is

$$\begin{aligned} CS^{vc}=V-\frac{49t}{12}-c. \end{aligned}$$

\(\square \)

Proof of Lemma 2

Given the input prices and the locations, the pricing stage is the same as that in the location-constrained model. Solving the first order conditions in the location stage, we have

$$\begin{aligned} x_a=\frac{4w_2-4w_1-3t}{12t}, \qquad x_b=\frac{4w_2-4w_1+15t}{12t}. \end{aligned}$$

The location of the marginal consumer is

$$\begin{aligned} \hat{x}=\frac{1}{2}+\frac{2w_2-2w_1}{9t}. \end{aligned}$$

Moving to the first stage of input-price setting, we have

$$\begin{aligned} \frac{\partial \pi _1}{\partial w_1}=\frac{9t+4w_2-8w_1+4c}{18t}=0, \qquad \frac{\partial \pi _2}{\partial w_2}=\frac{9t+4w_1-8w_2+4c}{18t}=0, \end{aligned}$$

from which we solve for

$$\begin{aligned} w_1^{vu}=w_2^{vu}=\frac{9t}{4}+c. \end{aligned}$$

The following equilibrium outcomes are then obtained:

$$\begin{aligned} p_a^{vu}= & {} p_b^{vu}=\frac{15t}{4}+c, \qquad x_a^{vu}=-\frac{1}{4}, \quad x_b^{vu}=\frac{5}{4},\\ \pi _1^{vu}= & {} \pi _2^{vu}=\frac{9t}{8}, \qquad \pi _a^{vu}=\pi _b^{vu}=\frac{3t}{4}, \qquad CS^{vu}=V-\frac{193t}{48}-c. \end{aligned}$$

\(\square \)

Proof of Result 2

The equilibrium outcomes in the two models can be calculated as follows:

$$\begin{aligned} p_i^{bc}= & {} t+(c-d^{bc}), \quad \pi _i^{bc}=\frac{t}{2}-I(d^{bc}), \quad CS^{bc}=V-\frac{13t}{12}-(c-d^{bc}).\\ p_i^{bu}= & {} \frac{3t}{2}+(c-d^{bu}), \quad \pi _i^{bu}=\frac{3t}{4}-I(d^{bu}), \quad CS^{bu}=V-\frac{85t}{48}-(c-d^{bu}). \end{aligned}$$

The differences of equilibrium prices, profits, and consumer and social welfare in the two models are

$$\begin{aligned} p_i^{bc}-p_i^{bu}=d^{bu}-d^{bc}-\frac{t}{2},\quad \pi _i^{bc}-\pi _i^{bu}=I(d^{bu})-I(d^{bc})-\frac{t}{4},\quad CS^{bc}-CS^{bu}=\frac{11t}{16}+d^{bc}-d^{bu}. \end{aligned}$$

With \(d^{bu}>d^{bc}\) and \(I(d^{bu})>I(d^{bc})\), the signs are all ambiguous. \(\square \)

Proof of Lemma 3

The solutions to the pricing and location stages (and the location of the marginal consumer) are the same as those in Lemma 1. In the input pricing stage, the first-order conditions are

$$\begin{aligned} \frac{\partial \pi _1}{\partial w_1}=\frac{3t+w_2-2w_1+c-d_1}{6t}=0, \qquad \frac{\partial \pi _2}{\partial w_2}=\frac{3t+w_1-2w_2+c-d_2}{6t}=0. \end{aligned}$$

With the second-order conditions being satisfied (\(\frac{\partial ^2 \pi _1}{\partial w_1^2}=\frac{\partial ^2 \pi _2}{\partial w_2^2}=-\frac{1}{3t}.\)), we have

$$\begin{aligned} w_1=3t+c-\frac{d_2+2d_1}{3}, \qquad w_2=3t+c-\frac{2d_2+d_1}{3}. \end{aligned}$$

Substituting in the values of p, x and w, we can write manufacturers 1 and 2’s profit as:

$$\begin{aligned} \pi _1=\frac{3t}{2}-\frac{d_2-d_1}{3}+\frac{(d_1-d_2)^2}{54t}-I_1, \qquad \pi _2=\frac{3t}{2}+\frac{d_2-d_1}{3}+\frac{(d_1-d_2)^2}{54t}-I_2. \end{aligned}$$

The first-order conditions for R&D choices are

$$\begin{aligned} \frac{\partial \pi _1}{\partial d_1}=\frac{1}{3}-\frac{(d_2-d_1)}{27t}-I_1', \qquad \frac{\partial \pi _2}{\partial d_2}=\frac{1}{3}+\frac{(d_2-d_1)}{27t}-I_2'. \end{aligned}$$

The second-order conditions (\(\frac{1}{27t}-I''<0\)) are satisfied when \(I''\) is sufficiently large.

Impose symmetry, and we obtain

$$\begin{aligned} d_1=d_2=d^{vc}, \qquad such \ that \ \qquad \frac{1}{3}-I'(d^{vc})=0. \end{aligned}$$

\(\square \)

Proof of Lemma 4

The equilibrium prices and locations (and the location of the marginal consumer) given input prices are the same as those in Lemma 2. The first-order conditions in the input-pricing stage are

$$\begin{aligned} \frac{\partial \pi _1}{\partial w_1}=\frac{4w_2-8w_1+9t+4c-4d_1}{18t}=0, \qquad \frac{\partial \pi _2}{\partial w_2}=\frac{9t+4w_1-8w_2+4c-4d_2}{18t}=0, \end{aligned}$$

from which we obtain

$$\begin{aligned} w_1=\frac{9t}{4}+c-\frac{2d_1+d_2}{3}, \qquad w_2=\frac{9t}{4}+c-\frac{2d_2+d_1}{3}. \end{aligned}$$

Thus manufacturers 1 and 2’s profit could be written as

$$\begin{aligned} \pi _1=\frac{9t}{8}-\frac{d_2-d_1}{3}+\frac{2(d_1-d_2)^2}{81t}-I_1, \qquad \pi _2=\frac{9t}{8}+\frac{d_2-d_1}{3}+\frac{2(d_1-d_2)^2}{81t}-I_2. \end{aligned}$$

The first-order conditions in the R&D stage are

$$\begin{aligned} \frac{\partial \pi _1}{\partial d_1}=\frac{1}{3}-\frac{4(d_2-d_1)}{81t}-I_1', \qquad \frac{\partial \pi _2}{\partial d_2}=\frac{1}{3}+\frac{4(d_2-d_1)}{81t}-I_2'. \end{aligned}$$

The second-order conditions are satisfied when \(I''\) is sufficiently large (\(\frac{4}{81t}-I''<0\)).

At the symmetric equilibrium we have

$$\begin{aligned} d_1=d_2=d^{vu}\quad such \ that \ \quad \frac{1}{3}-I'(d^{vu})=0. \end{aligned}$$

\(\square \)

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Li, Y., Shuai, J. A Welfare Analysis of Location Space Constraints with Vertically Separated Sellers. Rev Ind Organ 52, 161–177 (2018). https://doi.org/10.1007/s11151-017-9568-x

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