Abstract
The geography of the manufacturing industry has been changing due to technological development, flexible production and reducing transportation costs regarding the new specialization and distribution process in the world. While manufacturing production has been moving from developed countries to the relatively less developed ones, which have become the emerging economies over the last two decades, the concentration of these activities within the countries has always received the attention of researchers. On the other hand, not only the geographical shift but also structural shifts have increasingly been an important phenomenon of the twenty-first century. It is known that the level of technology and innovation makes a significant contribution to regional economic development. Determinants of manufacturing agglomerations have created a wide literature based on different empirical studies. Moreover the structural changes of industry need to be investigated regarding the spatial agglomerations. The aim of this paper is to explore how the factors of manufacturing agglomerations have differentiated due to the technological level across the country. Furthermore, we assume that the agglomeration mechanism is likely to vary across the space. Therefore, we have run both global and local regression models based on the employment data of the 81 NUTS III level regions (provinces) of Turkey in 2012. The results point out that the factors of agglomerations are different in the east and west provinces, while GWR has significantly improved global results.
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Notes
According to Kharas and Kohli (2011), countries mostly could not compete with low wage economies in manufacturing exports and could not compete with developed ones with high skill innovations and were stuck in the middle-income trap.
The Hirschman–Herfindahl index of industrial spatial concentration is given by the sum over all regions of the squared deviations of each region’s share of total national manufacturing. Where an industry is evenly distributed across an urban system, such that its spatial distribution exactly mirrors that of the urban hierarchy, the value will be 0.
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Acknowledgements
We would like to thank to Istanbul Technical University Research Fund for supporting the project: Modelling the Industrial Location Factors in Turkey with Global and Local Regression Models.
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This study was funded by ITU Research Fund.
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Gezici, F., Walsh, B.Y. & Kacar, S.M. Regional and structural analysis of the manufacturing industry in Turkey. Ann Reg Sci 59, 209–230 (2017). https://doi.org/10.1007/s00168-017-0827-4
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DOI: https://doi.org/10.1007/s00168-017-0827-4