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Agglomeration or Selection? The Case of the Japanese Silk-reeling Industry, 1909-1916

Author

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  • ARIMOTO Yutaka
  • NAKAJIMA Kentaro
  • OKAZAKI Tetsuji

Abstract

Plants in clusters are often more productive than those located in non-clusters. This has been explained by agglomeration effects that improve productivity of all plants in a region. However, recent theoretical development of trade and spatial economic theories with heterogeneous firms has shed light on another channel of productivity improvement in clusters, "plant-selection effects." This paper uses plant-level data on the Japanese silk reeling industry from 1909 to 1916 to distinguish between these two effects based on a nested model of firm-selection and agglomeration. We identify the plant-selection effect by using the fact that the two effects have different implications on the distribution of plant-level productivity. Major findings are as follows. First, we confirmed that plants in clusters were indeed more productive. Second, at the same time, the widths of distribution of plant productivity in clusters were narrower and more severely truncated than those in non-clusters. Finally, productivity distribution did not shift rightwards in clusters. Our findings imply that the plant-selection effect was the source of the higher plant-level productivity in silk-reeling clusters in this period.

Suggested Citation

  • ARIMOTO Yutaka & NAKAJIMA Kentaro & OKAZAKI Tetsuji, 2010. "Agglomeration or Selection? The Case of the Japanese Silk-reeling Industry, 1909-1916," Discussion papers 10003, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:10003
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    References listed on IDEAS

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    Cited by:

    1. Syed Hasan & Alessandra Faggian & H. Allen Klaiber & Ian Sheldon, 2018. "Agglomeration Economies or Selection? An Analysis of Taiwanese Science Parks," International Regional Science Review, , vol. 41(3), pages 335-363, May.
    2. Hashino, Tomoko & Otsuka, Keijiro, 2012. "Hand looms, power looms, and changing production organizations: the case of the Kiryu weaving district in the early 20th century Japan," Economic History Working Papers 41659, London School of Economics and Political Science, Department of Economic History.
    3. Shengjun Zhu & Canfei He & Xinming Xia, 2019. "Geography of productivity: evidence from China’s manufacturing industries," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 141-168, February.
    4. Tomoko Hashino & Keijiro Otsuka, 2013. "Hand looms, power looms, and changing production organizations: the case of the Kiryū weaving district in early twentieth-century Japan," Economic History Review, Economic History Society, vol. 66(3), pages 785-804, August.
    5. Valter Di Giacinto & Matteo Gomellini & Giacinto Micucci & Marcello Pagnini, 2014. "Mapping local productivity advantages in Italy: industrial districts, cities or both?," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 365-394.
    6. Antonio Accetturo & Valter Di Giacinto & Giacinto Micucci & Marcello Pagnini, 2018. "Geography, productivity, and trade: Does selection explain why some locations are more productive than others?," Journal of Regional Science, Wiley Blackwell, vol. 58(5), pages 949-979, November.

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    More about this item

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General

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