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Patterns of Technology, Industry Concentration, and Productivity Growth Without Scale Effects

Author

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  • Colin Davis

    (Institute for International Education, Doshisha University)

  • Ken-ichi Hashimoto

    (Graduate School of Economics, Kobe University)

Abstract

This paper investigates the relationship between geographic patterns of industrial activity and endogenous growth in a two region model of trade that exhibits no scale effect. The in-house process innovation of manufacturing firms drives productivity growth and is closely associated with firm-level scales of production and relative levels of accessible technical knowledge. Focusing on long-run industry shares and a cross-region productivity gap, we find that dispersed equilibria with positive industry shares for both regions always produce higher growth rates than core-periphery equilibria with all industry locating in one region. Moreover, the highest growth rate arises in a symmetric steady state that features no productivity gap and equal shares of industry leading to the conclusion that the geographic concentration of industry has a negative impact on overall growth. Convergence towards a dispersed equilibrium, however, is contingent on the levels of inter-regional transport costs and knowledge dispersion. Finally, we explore the implications of greater economic integration arising from reduced transport costs and greater knowledge dispersion for patterns of industry and productivity, and for regional welfare levels within a dispersed equilibrium.

Suggested Citation

  • Colin Davis & Ken-ichi Hashimoto, 2011. "Patterns of Technology, Industry Concentration, and Productivity Growth Without Scale Effects," Discussion Papers 1106, Graduate School of Economics, Kobe University.
    • Handle: RePEc:koe:wpaper:1106
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    File URL: http://www.econ.kobe-u.ac.jp/RePEc/koe/wpaper/2011/1106.pdf
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    2. Davis, Colin & Hashimoto, Ken-ichi, 2022. "Productivity growth, industry location patterns and labor market frictions," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    3. Chenxi Li & Kening Wu & Xiangyu Gao, 2020. "Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 2941-2965, April.
    4. Steven Bond-Smith, 2021. "The unintended consequences of increasing returns to scale in geographical economics [Investing for prosperity: skills, infrastructure and innovation]," Journal of Economic Geography, Oxford University Press, vol. 21(5), pages 653-681.
    5. Steven Bond-Smith & Philip McCann & Les Oxley, 2018. "A regional model of endogenous growth without scale assumptions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(1), pages 5-35, January.
    6. Yuki Saito, 2018. "On the trade, growth, and welfare effects of intellectual property rights protection," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 235-254, July.

    More about this item

    Keywords

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    JEL classification:

    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - 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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