Skip to main content
Log in

Foreign-owned firms and zoning under spatial price discrimination

  • Original Paper
  • Published:
Letters in Spatial and Resource Sciences Aims and scope Submit manuscript

Abstract

This paper shows that the nationality of firms influences the design of the optimal zoning by a regulator in a duopoly model of spatial price discrimination. For high enough values of the bias of the regulator towards firms, the size of the zone in which firms are allowed to locate is greater when firms are partially foreign-owned than when firms are fully domestic-owned.

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
Fig. 3

Similar content being viewed by others

Notes

  1. The seminal papers on spatial price discrimination are those of Hurter and Lederer (1985) and Lederer and Hurter (1986). They study a scenario where the sellers bear the transportation costs and are able to price discriminate between consumers throughout the market.

  2. For example, Heywood and Ye (2009) study the impact on welfare of foreign competition in a mixed oligopoly under spatial price discrimination. Matsushima and Matsumura (2006) study the spatial location of firms in a mixed oligopoly when there are foreign firms, and Matsumura et al. (2009) investigate whether or not privatization is beneficial from the viewpoint of social welfare in a monopolistic competition model.

  3. See also Colombo (2012) for an analysis of optimal central zoning in a linear town under Cournot competition.

  4. The bias of the regulator measures the relative weights given to consumer surplus and producer surplus in the weighted welfare function.

  5. The relationship between equilibrium and socially optimal locations with fully domestic firms in delivered pricing models has also been analyzed by Matsumura and Shimizu (2005a, (2005b).

  6. We consider the linear version of the shipping model analyzed by Hurter and Lederer (1985) and Lederer and Hurter (1986). In some shopping models it is considered that firms may locate outside the city boundaries; for example, Bárcena-Ruiz et al. (2015) show that a regulator highly concerned about firms profits would locate both firms outside the city limits in the unconstrained Hotelling game. Matsumura and Matsushima (2012) show that restricting the locations of the firms to the linear city reduces consumer welfare when firms sign strategic reward contracts with their managers.

  7. See Bárcena-Ruiz and Casado-Izaga (2014) for a proof of this statement.

  8. The proof of this Proposition is similar to that provided by Bárcena-Ruiz and Casado-Izaga (2014) for \(\beta \)=1 and so we omit it. This proof is available from the authors on request.

  9. When we state that the regulator “is more permissive” we compare the size of the areas allowed in both cases.

  10. The figure shows the case in which \(\beta <\frac{1}{2}\) because then \(\frac{1 }{1+2\beta }>\frac{1}{2}.\)

References

  • Bárcena-Ruiz, J.C., Casado-Izaga, F.J.: Zoning under spatial price discrimination. Econ. Inq. 52(2), 659–665 (2014)

    Article  Google Scholar 

  • Bárcena-Ruiz, J.C., Casado-Izaga, F.J., Hamoudi, H.: Optimal zoning of a mixed duopoly. Ann. Reg. Sci. 52, 141–153 (2014)

    Article  Google Scholar 

  • Bárcena-Ruiz, J.C., Casado-Izaga, F.J., Hamoudi, H., Rodríguez, I.: Optimal zoning in the unconstrained Hotelling game. Pap. Reg. Sci., forthcoming (2015) doi:10.1111/pirs.12132

  • Chen, C.-S., Lai, F.-C.: Location choice and optimal zoning under Cournot competition. Reg. Sci. Urban Econ. 38(2), 119–126 (2008)

  • Colombo, S.: On optimal zoning in a linear town with Cournot competitors. Lett. Spat. Resour. Sci. 5, 113–118 (2012)

  • Hamoudi, H., Risueño, M.: The effects of zoning in spatial competition. J. Reg. Sci. 52(2), 361–374 (2012)

    Article  Google Scholar 

  • Heywood, J.S., Ye, G.: Mixed oligopoly and spatial price discrimination with foreign firms”. Reg. Sci. Urban Econ. 39(5), 592–601 (2009)

    Article  Google Scholar 

  • Hurter, A., Lederer, P.: Spatial duopoly with discriminatory pricing. Reg. Sci. Urban Econ. 15(4), 541–553 (1985)

    Article  Google Scholar 

  • Lai, F-C. Tsai, J-F.: Duopoly locations and optimal zoning in a small open city. J. Urban Econ. 55(3), 614–626 (2004)

  • Lederer, P., Hurter, A.: Competition of firms: discriminatory pricing and location. Econometrica 54(3), 623–640 (1986)

    Article  Google Scholar 

  • Matsumura, T., Matsushima, N.: Locating outside a linear city can benefit consumers. J. Reg. Sci. 52(3), 420–432 (2012)

    Article  Google Scholar 

  • Matsumura, T., Matsushima, N., Ishibashi, I.: Privatization and entries of foreign enterprises in a differentiated industry. J. Econ. 98, 203–219 (2009)

    Article  Google Scholar 

  • Matsumura, T., Shimizu, D.: Spatial Cournot competition and economic welfare: a note. Reg. Sci. Urban Econ. 35(6), 658–670 (2005a)

  • Matsumura, T., Shimizu, D.: Economic welfare in delivered pricing duopoly: Bertrand and Cournot. Econ. Lett. 89(1), 112–119 (2005b)

  • Matsushima, N., Matsumura, T.: Mixed oligopoly, foreign firms and location choice. Reg. Sci. Urban Econ. 36(6), 753–772 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to F. Javier Casado-Izaga.

Additional information

We thank two referees for their helpful comments. Financial support from Ministerio de Ciencia y Tecnología (ECO2012-32299) and the University of the Basque Country (EHU14/05) is gratefully acknowledged.

Appendix

Appendix

Proof of Proposition 1

Equilibrium price policies are described by \(p_{1}^{*}(x_{1},x_{2},x)=p_{2}^{*}(x_{1},x_{2},x)\) = \(max\{f_{1}\left( x_{1},x\right) \), \(f_{2}\left( x_{2},x\right) \}.\) Given a pair of locations \(\left( x_{1},x_{2}\right) \) such that \(x_{1}\leqslant x_{2}\), firms’ total profits, \(\pi =\pi _{1}+\pi _{2}\), are: \(\pi =\int _{\frac{x_{2}-x_{1}}{2} }^{1-x_{1}}txdx+\int _{\frac{x_{2}-x_{1}}{2}}^{x_{2}}txdx- \int _{0}^{x_{1}}txdx-2\int _{0}^{\frac{x_{2}-x_{1}}{2}}txdx- \int _{0}^{1-x_{2}}txdx;\) the first two terms are firms’ revenues and the rest are total transportation costs. So, the weighted welfare is: \(W=\alpha \beta (\pi _{1}+\pi _{2})+(1-\alpha )CS=\) \(\alpha \beta t\left[ \frac{1}{2}(1-x_{1})^{2}-\frac{^{x_{1}2}}{2}-\frac{1}{2 }(1-x_{2})^{2}+\frac{^{x_{2}2}}{2}-\frac{1}{2}(x_{2}-x_{1})^{2}\right] +\) \((1-\alpha )\overline{s}-(1-\alpha )t\left[ \frac{1}{2}(1-x_{1})^{2}+\frac{ ^{x_{2}2}}{2}-\frac{1}{4}(x_{2}-x_{1})^{2}\right] .\) From the first order conditions these two equations are obtained: \(x_{1}=\frac{2(1-\alpha (1+\beta ))-x_{2}(1-\alpha (1+2\beta ))}{1-\alpha (1-2\beta )},\) \(x_{2}= \frac{2\alpha \beta -x_{1}(1-\alpha (1+2\beta ))}{1-\alpha (1-2\beta )}.\) They are valid when \(\alpha >\frac{1}{1+2\beta }.\) The solution is thus: \( x_{1}^{^{*}}=\frac{1}{4}+\frac{1-\alpha (1+\beta )}{4\alpha \beta },\) \( x_{2}^{^{*}}=\frac{3}{4}-\frac{1-\alpha (1+\beta )}{4\alpha \beta },\) when \(\alpha >\frac{1}{1+2\beta },\) and \(x_{1}^{^{*}}=x_{2}{}^{^{*}}= \frac{1}{2}\) when \(\alpha \le \frac{1}{1+2\beta }.\) The second order conditions are met. \(\square \)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bárcena-Ruiz, J.C., Casado-Izaga, F.J. Foreign-owned firms and zoning under spatial price discrimination. Lett Spat Resour Sci 9, 145–155 (2016). https://doi.org/10.1007/s12076-015-0148-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12076-015-0148-0

Keywords

JEL Classification

Navigation