Skip to main content
Log in

Local competition, entry, and agglomeration

  • Published:
Quantitative Marketing and Economics Aims and scope Submit manuscript

Abstract

This paper analyzes competition between two spatially differentiated multi-product retailers who encounter entry from a low-cost discounter. We assess how entry affects the pricing of the incumbent stores and the role played by the location of the entrant. Our primary objective is to identify how traditional retailers respond to new forms of low-cost retailing. Results show that post entry, the prices for some products are higher than the pre entry. However, which product prices increase depends on the incumbent’s location. Contrary to conventional wisdom, we find that the store closer to the entrant is better off compared to the incumbent located further away. We empirically demonstrate the main workings of our theory using sales data from several grocery stores that saw entry by discount stores in their trading areas.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. According to industry reports, for example, operating costs at Wal-Mart are about 17% of sales, as compared to 22% at the average grocery store (Coggins and Sanauer 2000).

  2. We summarize the notation in Table 1.

  3. It may be possible to consider entry by the discounter at some other location. For example, the discounter could locate in the middle of the line, equally distant between the two retailers. In this case, the symmetric incumbents have sufficient loyalty from convenience buyers to abandon the value buyer segment for product 1. Given our focus here on asymmetric effects on competition between A and B post entry, we relegate to Supplemental Appendix the details of the symmetric case. Finally, for discounter locations off the endpoints, but favoring one of the retailers, we expect our analysis to lead to similar qualitative results.

  4. Note that retailers are differentiated with respect to two attributes: location and assortment. In that sense product 2 yields the same benefit to a consumer whether from a discounter or from a traditional retailer, all else equal. It is possible, however, to imagine that some consumers place higher value on a product from a local, traditional shop, instead of a discount chain. Incorporating this aspect of retailer differentiation would tend to reinforce our basic result.

  5. This corresponds to “higher order” and “lower order” goods as modeled in Ingene and Ghosh (1990).

  6. We do not model income effects and have labeled these consumer groups simply to reflect the common notion that high wage earners face higher shopping costs due to the higher opportunity costs of time.

  7. We considered an alternative model with two additional retailers offering product 3 before the entry of the discount store. For instance, this can be thought of as two shopping centers are located in different parts of town, where both shopping centers contain a traditional grocery store and a small appliance store. While a full description of equilibrium in this 5 player game is algebraically tedious, the key results of the basic model (without the two additional players) are retained.

  8. This assumption is made to simplify the presentation. Extending the game with a strategic discounter does not change the basic implications. The details of the extension are available in a Supplemental Appendix.

  9. We assume that consumers have complete information about prices in order to focus on the implication of entry by the discounter. An interesting avenue for future research would be to understand the implications of entry for consumers choosing a retail establishment under incomplete knowledge of prices (Diamond 1971).

  10. Equilibria in non-trivial mixed strategies would involve distributions of order statistics since value buyers are choosing the minimum of two probabilistically offered prices. Such an investigation may lead to rich interpretations of sales and promotions (Varian 1980; Narasimhan 1988), but is not our present focus.

  11. Note that the choice between the two equilibria of Proposition 1 is arbitrary for the comparison in §2.2. All other relevant properties of the equilibria are the same and, most importantly, do not depend on a retailer’s location.

  12. It can be shown that these consumers shop at only one (1) store in equilibrium. See Lal and Matutes (1989) for a formal proof.

  13. Store C’s price on product 2 is specified as an exogenous variable for the subsequent analysis, however considering the large basket consumers, store C’s choice is a best response. We thank an anonymous reviewer for pointing this out.

  14. The basic insights of our model do not rely on the fact that there is no competition for product 3. See the Supplemental Appendix for an extension with competition for product 3.

  15. It is instructive to relate this argument to the Diamond Paradox (Diamond 1971) in which consumers do not shop in equilibrium due to search costs. In our case, Small Basket convenience shoppers do not shop at a second store because of the additional shopping and transportation costs. (We thank a reviewer for making this connection.)

  16. The nearby retailer can, however, see increased profits as a result of entry when the rival retailer B is not present before or after entry. See the Supplemental Appendix for details of this case.

  17. The profit function in (1) is proportional to α.

  18. Grocery department includes packaged items such as detergents and paper towels.

  19. For department and store level regressions, the Price Index is created using data from 29 product categories (see Montgomery and Rossi 1999).

  20. The percentage change numbers in Table 4 for each category are obtained from a regression model similar to the department level analysis, i.e., they represent the net impact of Wal-Mart’s entry after controlling for other variables.

  21. Again, we suppress the coefficients for the marketing mix variables for brevity. Full model parameters along with additional robustness checks to control for seasonality in some products are available from authors.

References

  • Ailawadi, K. L., Zhang, J., Krishna, A., & Kruger, M. W. (2010). When Wal-Mart Enters: how incumbent retailers react and how this affects their sales outcomes. Journal of Marketing Research, 47, 577–593.

    Article  Google Scholar 

  • Basker, E. (2005). Selling a cheaper mousetrap: Wal-Mart’s effect on retail prices. Journal of Urban Economics, 58(2), 203–229.

    Article  Google Scholar 

  • Basker, E., & Noel, M. (2007). The evolving food chain: Competitive effects of Wal-Mart’s entry into the supermarket industry, Working paper.

  • Bell, D., & Lattin J. (1998). Shopping behavior and consumer preference for store price format: Why large basket shoppers prefer EDLP. Marketing Science, 17(1), 66–88.

    Article  Google Scholar 

  • Bronnenberg, B. J., Kruger, M., & Mela, C. F. (2008). The IRI academic dataset. Marketing Science, 27(4), 745–748.

    Article  Google Scholar 

  • Coggins, J., & Sanauer, B. (2000). In D. C. Mowery (Ed.), US Industry in 2000: Studies in Competitive Performance. Washington, D.C: National Academy Press.

    Google Scholar 

  • Corstjens, M., & Lal, R. (2000). Building store loyalty through store brands. Journal of Marketing Research, 37(August), 281–291.

    Article  Google Scholar 

  • Datta, S., & Sudhir, K. (2008). Sleeping with the Frenemy: The Agglomeration-Differentiation Tradeoff in Spatial Location Choice, unpublished manuscript.

  • Diamond, P. A. (1971). A model of price adjustment. Journal of Economic Theory, 3(2), 156–168.

    Article  Google Scholar 

  • Ellickson, P., & Misra, S. (2008). Supermarket pricing strategies. Marketing Science, 27(5), 811–828.

    Article  Google Scholar 

  • Fox, E., Montgomery, A., & Lodish, L. (2004). Consumer shopping and spending across retail formats: a multivariate tobit model. Journal of Business, 77(2), S25–S60. Part 2.

    Article  Google Scholar 

  • Fox, E., McLaughlin, A., & Postrel, S. (2007) The impact of retail location on retailer revenues: An Empirical investigation, Working paper.

  • Hausman, J., & Leibtag, E. (2007). Consumer benefits from increased competition in shopping outlets: measuring the effect of Wal-Mart. Journal of Applied Econometrics, 22, 1157–77.

    Article  Google Scholar 

  • Ingene, C., & Ghosh, A. (1990). Consumer and producer behavior in a multipurpose shopping environment. Geographical Analysis, 22, 70–93.

    Article  Google Scholar 

  • Krishnan, T., Koelemeijer, K., & Rao, R. (2002). Consistent assortment provision and service provisioni in a retail environment. Marketing Science, 21(1), 54–73.

    Article  Google Scholar 

  • Kumar, N., & Rao, R. (2006). Using basket composition data for intelligent supermarket pricing. Marketing Science, 25(2), 188–199.

    Article  Google Scholar 

  • Lal, R., & Matutes, C. (1989). Price competition in multimarket duopolies. RAND Journal of Economics, 20(4), 516–537.

    Article  Google Scholar 

  • Lal, R., & Rao, R. (1997). Supermarket competition: the case of everyday low-pricing. Marketing Science, 16, 60–80.

    Article  Google Scholar 

  • Montgomery, A. L., & Rossi P. E. (1999). Estimating price elasticities with theory-based priors. Journal of Marketing Research, 36, 413–423.

    Article  Google Scholar 

  • Narasimhan, C. (1988). Competitive promotional strategies. Journal of Business, 61(4), 427–449.

    Article  Google Scholar 

  • Rao C. R., & Syam N. (2001). Equilibrium price communication and unadvertised specials by competing supermarkets. Marketing Science, 20(1), 61–81.

    Article  Google Scholar 

  • Shils, E., & Taylor, G. (1997). The Shils report: Measuring the economic and sociological impact of the mega retail discount chains on small enterprise in urban, suburban and rural communities. Wharton School of Business, University of Pennsylvania.

  • Singh, V., Hansen, K., & Blattberg, R. (2006). Investigating the impact of Wal-Mart supercenter on consumer purchasing behavior. Marketing Science, 25(5), 457–476.

    Article  Google Scholar 

  • Sobel, R. S., & Dean, A. M. (2008). Has Wal-Mart buried mom and pop?: the impact of Wal-Mart on self employment and small establishments in the United States. Economic Inquiry, 46(4), 676–695.

    Article  Google Scholar 

  • Stahl, K. (1982). Location and spatial pricing theory with nonconvex transportation costs. RAND Journal of Economics, 13(2), 575–852.

    Google Scholar 

  • Stone, K. E. (1995). Competing with the retail giants. NY: John Wiley and Sons.

    Google Scholar 

  • Varian, H. (1980). A Model of sales. American Economic Review, 70, 651–659.

    Google Scholar 

  • Xie, J., & Sirbu, M. (1995). Price competition and compatibility in the presence of positive demand externalities. Management Science, 41(5), 909–926.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ting Zhu.

Additional information

The authors are grateful to Thomas Gehrig, Sridhar Moorthy, Nikolaos Vettas, Bo Zhou and several participants at the workshop on Competition Strategies and Customer Relations, Swedish School of Economics and Business Administration, Helsinki, Finland. The authors are listed in reverse alphabetical order and contributed equally.

Electronic supplementary material

Below is the link to the electronic supplementary material.

ESM 1

(DOC 655 kb)

Appendix

Appendix

This appendix contains proofs of Propositions 1, 2, & 3 as well as of Lemmas 1 & 2.

1.1 Proof of Proposition 1

The proof follows the argument given in Lal and Matutes (1989). That argument applied to the present context is provided in a Supplemental Appendix.

1.2 Proof of Lemma 1

(i) Since Big Basket convenience shoppers visit store C to buy product 3, the assumption that store C has the lowest price for product 2 implies that these consumers will buy it there while buying product 3. Therefore, they will visit exactly one more store (either A or B) for product 1. (ii) Since no consumer will visit a number of stores greater than the number of products demanded, it is sufficient to show that Small Basket convenience shoppers will not visit two stores. Define a two-store shopping plan as a pair (s 1,s 2), \( {s_i} \in \left\{ {A,B,C} \right\} \), \( {s_1} \ne {s_2} \), which prescribes the consumer to buy product i from store s i . Since C does not offer product 1, we have four possible two-store shopping plans: (A,B), (B,A), (A,C) or (B,C). First, we show that shopping plans (A,B) and (B,A) cannot be an equilibrium shopping plan for Small Basket convenience shoppers because they are dominated by either (A,C) or (B,C). Denote c x (s 1, s 2) as the cost incurred by a consumer located at x carrying out the shopping plan inclusive of price. Since p 1A ,p 1B >K, then for any x,

$$ \begin{array}{*{20}{c}} {\min \left\{ {{c_x}\left( {A,B} \right),{c_x}\left( {B,A} \right)} \right\} = \min \left\{ {{p_{{1A}}},{p_{{1B}}}} \right\} + \min \left\{ {{p_{{2A}}},{p_{{2B}}}} \right\} + t + s} \\ { > \min \left\{ {{p_{{1A}}},{p_{{1B}}}} \right\} + {p_{{2C}}} + t + s} \\ { = \min \left\{ {{c_x}\left( {A,C} \right),{c_x}\left( {B,C} \right)} \right\}.} \\ \end{array} $$

Next, we exclude (A,C). Suppose this plan were part of an equilibrium. Then we must have p 2C + s < p 2A . But then no one will buy product 2 at A. Hence, there is a profitable deviation for A to lower its price to \( {p_{{2A}}} = {p_{{2C}}} + s = K + s \) and receive positive profits. It remains to show that (B,C) cannot arise in equilibrium. Suppose prices p 1A , p 2A , p 1B , p 2B yielded (B,C) as the optimal shopping plan for some Small Basket convenience shoppers. We show that such pricing behavior yields a contradiction. The hypothesis implies that p 1B < p 1A . And since p 2C < p 2A , no value buyers will patronize A. A Small Basket convenience buyer located at x will buy the bundle from A if it is cheaper then buying the bundle from B

$$ {p_{{1A}}} + {p_{{2A}}} + xt + s < {p_{{1B}}} + {p_{{2B}}} + \left( {1 - x} \right)t + s $$

and cheaper than (B,C)

$$ {p_{{1A}}} + {p_{{2A}}} + xt + s < {p_{{1B}}} + {p_{{2C}}} + t + 2s. $$

Let x 2 and x 2A be defined, respectively, as satisfying the above two conditions with equality, then

$$ {x_2} = \tfrac{1}{{2t}}\left[ {\left( {{p_{{1B}}} + {p_{{2B}}}} \right) - \left( {{p_{{1A}}} + {p_{{2A}}}} \right) + t} \right]\,{\text{and}}\,{x_{{2A}}} = \tfrac{1}{t}\left[ {\left( {{p_{{1B}}} + {p_{{2C}}}} \right) - \left( {{p_{{1A}}} + {p_{{2A}}}} \right) + t + s} \right]. $$

Hence, Small Basket convenience shoppers with x<x 2 prefer the bundle at A to the bundle at B and with x<x 2A prefer the bundle at A to (B,C). Similarly, Small Basket convenience shoppers at x prefer the bundle at B over (B,C) if \( {p_{{1B}}} + {p_{{2B}}} + \left( {1 - x} \right)t + s < {p_{{1B}}} + {p_{{2C}}} + t + 2s, \) or equivalently, if \( x > {x_{{2B}}} = \tfrac{1}{t}\left[ {{p_{{2B}}} - {p_{{2C}}} - s} \right] \). We observe that \( {x_2} = \left( {{x_{{2A}}} + {x_{{2B}}}} \right)/2 \), which implies that x 2 lies between x 2A and x 2B . Thus, there are two possibilities to consider. First, x 2B < x 2 < x 2A implies that all Small Basket convenience shoppers prefer buying the bundle at either A or at B to shopping around (i.e. to (B,C), which contradicts the hypothesis that (B,C) is optimal for some Small Basket consumers. Hence, x 2A < x 2 < x 2B . Big Basket convenience shoppers located a x will shop at A (for product 1) and C (for products 2 and 3) if it is cheaper than shopping at B (for product 1) if

$$ {p_{{1A}}} < {p_{{1B}}} + \left( {1 - x} \right)t, $$

or equivalently if \( x < {x_1} = \left( {{p_{{1B}}} - {p_{{1A}}} + t} \right)/t \). Thus profits to each store can be written as

$$ \begin{array}{*{20}{c}} {{\pi_A} = \alpha \left( {1 - \beta } \right)\left( {{p_{{1A}}} + {p_{{2A}}} - 2K} \right){x_{{2A}}} + \alpha \beta \left( {{p_{{1A}}} - K} \right){x_1},\,{\text{and}}} \\ {{\pi_B} = \alpha \left( {1 - \beta } \right)\left( {{p_{{1B}}} + {p_{{2B}}} - 2K} \right)\left( {1 - {x_{{2B}}}} \right) + \left[ {\left( {1 - \alpha } \right) + \alpha \beta \left( {1 - {x_1}} \right) + \alpha \left( {1 - \beta } \right)\left( {{x_{{2B}}} - {x_{{2A}}}} \right)} \right]\left( {{p_{{1B}}} - K} \right).} \\ \end{array} $$

Prices must be mutually optimal for the two firms. Therefore, interior optima must satisfy the first order conditions for profit maximization, which imply the following prices:

$$ \begin{gathered} \begin{array}{*{20}{c}} {{p_{{1A}}} = K + \frac{{1 + \alpha }}{{3\alpha }}t - \frac{{1 - \beta }}{3}s,} \hfill & {{p_{{2A}}} = K + \frac{s}{2},} \hfill \\ {{p_{{1B}}} = K + \frac{{2 - \alpha }}{{3\alpha }}t - \frac{{1 - \beta }}{3}s,} \hfill & {{\text{and}}\,{p_{{2B}}} = K + \frac{{t + s}}{2}.} \hfill \\ \end{array} \hfill \\ \begin{array}{*{20}{c}} {} \hfill & {} \hfill \\ \end{array} \hfill \\ \end{gathered} $$

It follows that

$$ {x_{{2B}}} - {x_{{2A}}} = \frac{{\left( { - 2 - \alpha } \right)t - \alpha \left( {5 + \beta } \right)s}}{{6\alpha \beta t}} < 0, $$

or equivalently x 2B < x 2A , which is a contradiction. Note that if \( H > \tfrac{1}{4}\left( {5K + 3L} \right) + t + \tfrac{3}{2}s \), then the following corner solution is mutually optimal for both firms:

$$ p_{{1A}} = \frac{1} {2}{\left( {K + L + t} \right)},\;p_{{2A}} = K + \frac{s} {2}, $$
$$ p_{{1B}} = L,\;p_{{2B}} = K + \frac{{t + s}} {2}. $$

This leads to \( {x_{{2B}}} - {x_{{2A}}} = \left( {K - L - 2s} \right)/t \), which is less than 0 since L>K. Hence, x 2B <x 2A , again a contradiction. Q.E.D.

1.3 Proof of Lemma 2

Suppose product 1 is cheaper at A: p 1A  < p 1B . Then all Big Basket consumers will shop at retailer C for good 3. While there, these consumers also buy product 2 at C. Furthermore, all Big Basket consumers buy product 1 from A: Big Basket value buyers since it has the lowest price; convenience shoppers since they, already at retailer C, do not benefit from incurring costs traveling to B. Now consider Small Basket consumers. Small Basket convenience shoppers shop at A and C for products 1 and 2, respectively. Small Basket Convenience consumers shop either at A or at B and buy both products at one of these stores. (Recall that convenience shoppers visit no more than one store for two products, by Lemma 3.) A Small Basket convenience shopper located at x will shop at A if

$$ x < {x_S} \equiv \frac{{\left( {{p_{{1B}}} + {p_{{2B}}}} \right) - \left( {{p_{{1A}}} + {p_{{2A}}}} \right)}}{{2t}}. $$

(As noted previously, these consumers make their retailer choice based solely on the price of the bundle of the items.) The consumer behavior described above generates the following profit functions for each retailer:

$$ {\pi_A} = \left( {1 - \alpha } \right)\left( {{p_{{1A}}} - K} \right) + \alpha \beta \left( {{p_{{1A}}} - K} \right) + \alpha \left( {1 - \beta } \right)\left( {{p_{{1A}}} + {p_{{2A}}} - 2K} \right){x_S} $$
$$ {\pi_B} = \alpha \left( {1 - \beta } \right)\left( {{p_{{1B}}} + {p_{{2B}}} - 2K} \right)\left( {1 - {x_S}} \right). $$

We now show that there exists a profitable deviation whenever p 1A < p 1B . First suppose p 1A > K. Then B can always lower its price on product 1 and raise its price on product 2 so that p 2A + p 2B does not change, but K < p 2A < p 1A . In such a deviation, retailer B retains the same Small Basket convenience shoppers and steals all value buyers buying product 2. Hence, this is a profitable deviation for B. Next, suppose p 1A  = K <p 1B . Then clearly A can raise its price on product 1 slightly and lower its price on product 2 while preserving the sum p 1A +p 2A . This is profitable since it retains the same customers, but extracts positive revenues from its value buyers. Hence, it is not possible to have an equilibrium with p 1A  < p 1B . Finally, we consider the case when p 1A  = p 1B and show there always exists a profitable deviation. Note that this implies the following profits for the two retailers:

$$ {\pi_A} = \frac{{\left( {1 - \alpha } \right)}}{2}\left( {{p_{{1A}}} - K} \right) + \alpha \beta \left( {{p_{{1A}}} - K} \right){x_B} + \alpha \left( {1 - \beta } \right)\left( {{p_{{1A}}} + {p_{{2A}}} - 2K} \right){x_S} $$
$$ {\pi_B} = \frac{{\left( {1 - \alpha } \right)}}{2}\left( {{p_{{1B}}} - K} \right) + \alpha \beta \left( {{p_{{1B}}} - K} \right)\left( {1 - {x_B}} \right) + \alpha \left( {1 - \beta } \right)\left( {{p_{{1B}}} + {p_{{2B}}} - 2K} \right)\left( {1 - {x_S}} \right), $$

where \( {x_i} \in \left( {0,1} \right) \) is the fraction of consumers with basket size i=B,S shopping at A. If p 1A  = p 1B  = K, then either retailer, say A, can earn more profits by slightly raising its price on product 1 since it would loose no revenue from the value segment and improve revenues from the convenience segment. If p 1A  = p 1B  = K then either retailer, say A, can be profitable by lowering p 1A by a small amount (some \( \varepsilon > 0 \), sufficiently small) while raising p 2A so that p 1A +p 2A remains constant since it experiences a discrete gain in value buyers and no loss from the convenience shoppers. Q.E.D.

1.4 Proof of Proposition 2

(i) The first order conditions of (1) with respect to (p 1A , p 2A ) and (2) with respect to (p 1B , p 2B ) imply interior maxima, as presented in part (i). To validate that these prices are, in fact, an equilibrium, we verify that that the outcome is

  1. (a)

    consistent with our assumptions on consumer behavior

  2. (b)

    not subject to profitable deviations by either retailer, for all α and β sufficiently large.

(a) The conditions \( p_{{1B}}^{*} \leqslant L \) and \( p_{{1B}}^{*} < p_{{1A}}^{*} \) were assumed in our formulation of profit functions (1) and (2). The first is implied by Assumption 1 if \( \alpha > \tfrac{1}{{1 + \beta /4}} \). The second holds if and only if \( \alpha > \tfrac{1}{{1 + \beta }} \). Since \( {\alpha_{{AE}}} > \tfrac{1}{{1 + \beta /4}} > \tfrac{1}{{1 + \beta }} \), both conditions hold for α > α AE . Finally, Assumption 3 ensures positive demand for product 2 at retailer A from Small basket convenience shoppers since \( p_{{2A}}^{*} \leqslant K + s \). Hence, prices \( \left( {p_{{1A}}^{*},p_{{2A}}^{*}} \right) \), \( \left( {p_{{1B}}^{*},p_{{2B}}^{*}} \right) \) are consistent with our assumptions on consumer behavior. (b) To check for profitable deviations, first note that the profits at these prices can be expressed as in (4) and (5). Local deviations cannot be profitable by the maximization conditions on (1) and (2). We now check “jump” deviations. First consider a deviation by B with some \( {\tilde{p}_{{1B}}} > p_{{1A}}^{*} \). In this case, retailer B looses all value buyers as well as all Big Basket Convenience consumers (x B  > 1). This leaves B with profits

$$ {\tilde{\pi }_B} = \alpha \left( {1 - \beta } \right)\left( {{{\tilde{p}}_{{1B}}} + {{\tilde{p}}_{{2B}}} - 2K} \right)\left( {1 - {{\tilde{x}}_S}} \right), $$

where, \( {\tilde{x}_S} = \left[ {\left( {{{\tilde{p}}_{{1B}}} + {{\tilde{p}}_{{2B}}}} \right) - \left( {p_{{1A}}^{*} + p_{{2A}}^{*}} \right) + t} \right]/\left( {2t} \right) < \tfrac{1}{2} \). This deviation is not profitable, since

$$ \begin{gathered} {\max_{{{{\tilde{p}}_{{1B}}},{{\tilde{p}}_{{2B}}}}}}{{\tilde{\pi }}_B} = \alpha \left( {1 - \beta } \right)\left( {t + 2K} \right) \\ = \alpha \left( {1 - \beta } \right)\left( {p_{{1B}}^{*} + p_{{2B}}^{*} - 2K} \right)\left( {1 - {{\bar{x}}_S}} \right) < \pi_B^{*}\;, \\ \end{gathered} $$

where the inequality can be seen by comparing this expression with (2) at \( \left( {p_{{1B}}^{*},p_{{2B}}^{*}} \right) \). Now suppose retailer A deviates by undercutting B for product 1. That is, consider the deviation by A with \( {\tilde{p}_{{1A}}} = p_{{1B}}^{*} - \varepsilon \), for small \( \varepsilon > 0 \). Any such deviation is most profitable if A sets \( {\tilde{p}_{{2B}}} \) in order to maintain the bundled price \( {\tilde{p}_{{1A}}} + {\tilde{p}_{{2A}}} = t + 2K \). This yields profits of in the limit, with \( \varepsilon \downarrow 0 \).

$$ \begin{array}{*{20}{c}} {{{\tilde{\pi }}_A} = \alpha \beta \left( {{{\tilde{p}}_{{1A}}} - K} \right) + \alpha \left( {1 - \beta } \right)\left( {{p_{{1A}}} + {p_{{2A}}} - 2K} \right){{\tilde{x}}_S} + \left( {1 - \alpha } \right)\left( {{{\tilde{p}}_{{1A}}} - K} \right)} \\ { = \left[ {\left( {\frac{{2\left( {1 - \alpha } \right)}}{{3\alpha \beta }} + \frac{1}{3}} \right)\left( {\alpha \beta - \alpha + 1} \right) + \frac{{\alpha \left( {1 - \beta } \right)}}{2}} \right]t\;.} \\ \end{array} $$

Using the above and comparing with the profits in (4), we can express the direct gain from deviation:

$$ \pi_A^{*} - {\tilde{\pi }_A} = \frac{{{\alpha^2}\left( {{\beta^2} + 5{\beta^2} - 5} \right) + 5\alpha \left( {2 - \beta } \right) - 5}}{{9\alpha \beta }}t $$
(A.8)

For any \( \beta \in \left( {0,1} \right) \), (A.8) is positive for α >α AE (β). (ii) follows from direct substitution of equilibrium prices into (3). Q.E.D.

1.5 Proof of Proposition 3

Consider the difference in retailer’s equilibrium profits, as expressed in (4) and (5):

$$ \pi_A^{*} - \pi_B^{*} = \frac{{{\alpha^2}\left( {\beta - 1} \right) + 2\alpha - 1}}{{3\alpha \beta }}t. $$

This difference is positive for \( \tfrac{1}{{1 + \sqrt {\beta } }} < \alpha < \tfrac{1}{{1 - \sqrt {\beta } }} \). These conditions, however, are implied by the assumed conditions in Proposition 2. Q.E.D.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhu, T., Singh, V. & Dukes, A. Local competition, entry, and agglomeration. Quant Mark Econ 9, 129–154 (2011). https://doi.org/10.1007/s11129-011-9097-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11129-011-9097-0

Keywords

JEL Classification

Navigation