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Borders, Geography, and Oligopoly: Evidence from the Wind Turbine Industry

Author

Listed:
  • A. Kerem Cosar

    (The University of Chicago Booth School of Business)

  • Paul L. E. Grieco

    (The Pennsylvania State University)

  • Felix Tintelnot

    (The Pennsylvania State University)

Abstract

Using a micro-level dataset of wind turbine installations in Denmark and Germany, we estimate a structural oligopoly model with cross-border trade and heterogeneous firms. Our approach separately identifies border-related from distance-related variable costs and bounds the fixed cost of exporting for each firm. Variable border costs are large: equivalent to roughly 400 kilometers (250 miles) in distance costs, which represents 40 to 50 percent of the average exporter's total delivery costs. Fixed costs are also important; removing them would increase German firms' market share in Denmark by 10 percentage points. Counterfactual analysis indicates that completely eliminating border frictions would increase total welfare in the wind turbine industry by 5 percent in Denmark and 10 percent in Germany.

Suggested Citation

  • A. Kerem Cosar & Paul L. E. Grieco & Felix Tintelnot, 2012. "Borders, Geography, and Oligopoly: Evidence from the Wind Turbine Industry," Koç University-TUSIAD Economic Research Forum Working Papers 1228, Koc University-TUSIAD Economic Research Forum.
    • Handle: RePEc:koc:wpaper:1228
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    2. Roberto Rigobon & Brent Neiman & Alberto Cavallo, 2013. "Product Introductions, Currency Unions, and the Real Exchange Rate," 2013 Meeting Papers 1357, Society for Economic Dynamics.
    3. Alberto Cavallo & Brent Neiman & Roberto Rigobon, 2014. "Currency Unions, Product Introductions, and the Real Exchange Rate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 529-595.
    4. Coşar, A. Kerem & Grieco, Paul L.E. & Li, Shengyu & Tintelnot, Felix, 2018. "What drives home market advantage?," Journal of International Economics, Elsevier, vol. 110(C), pages 135-150.
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    6. Shoumitro Chatterjee, 2023. "Market Power and Spatial Competition in Rural India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1649-1711.
    7. Benedikt Herz & Xosé-Luís Varela-Irimia, 2020. "Border effects in European public procurement [Information costs and home bias: an analysis of US holdings of foreign equities]," Journal of Economic Geography, Oxford University Press, vol. 20(6), pages 1359-1405.
    8. Jerónimo Carballo & Alejandro Graziano & Georg Schaur & Christian Volpe Martincus, 2021. "The Effects of Transit Systems on International Trade," CESifo Working Paper Series 9353, CESifo.
    9. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    10. Lu, Ruichang & Luo, Yao & Xiao, Ruli, 2014. "An MPEC estimator for misclassification models," Economics Letters, Elsevier, vol. 125(2), pages 195-199.
    11. Coşar, A. Kerem & Grieco, Paul L.E. & Tintelnot, Felix, 2015. "Bias in estimating border- and distance-related trade costs: Insights from an oligopoly model," Economics Letters, Elsevier, vol. 126(C), pages 147-149.
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    More about this item

    Keywords

    Trade costs; oligopoly; spatial competition; constrained MLE.;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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