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Analyzing the Impact of the Labor Market on Company Location Selection Using Spatial Econometric Models

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  • Hao-Chen Huang
  • Hsin-Yin Chang
  • Ting-Hsiu Liao

Abstract

This study employed spatial econometric models to analyze the company registration site selection in various counties and cities of Taiwan from 2002 to 2021 and examined its correlation with the labor market. The results revealed that over the past two decades, the number of company registrations in Taiwan has consistently risen, with a growth rate of 60.61%. Metropolitan areas such as Taipei City, New Taipei City, Taichung City, Kaohsiung City, and Taoyuan City took the lead in terms of registration numbers. Furthermore, the study found that local labor market factors and spatial spillover effects significantly influence company location decisions. Specifically, using the spatial Durbin model, it was discovered that an increase in unemployment rates negatively impacts company registrations in neighboring counties and cities; growth in employment numbers has a positive overall effect on company registrations; a rise in the proportion of industrial workers may be detrimental to company startups; a higher proportion of employees with tertiary education positively affects company registrations; an increase in the proportion of employed individuals aged 45 to 64 negatively impacts company registrations. The research findings offer valuable insights for policymakers, assisting in the creation of a more conducive entrepreneurial environment. Â JEL classification numbers: C31, J21.

Suggested Citation

  • Hao-Chen Huang & Hsin-Yin Chang & Ting-Hsiu Liao, 2023. "Analyzing the Impact of the Labor Market on Company Location Selection Using Spatial Econometric Models," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(6), pages 1-9.
  • Handle: RePEc:spt:admaec:v:13:y:2023:i:6:f:13_6_9
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    References listed on IDEAS

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    1. Yoomi Kim, 2019. "Spatial analysis of factors affecting location decisions of Korean companies in China," Regional Science Policy & Practice, Wiley Blackwell, vol. 11(2), pages 383-401, June.
    2. Deyu Meng & Guoen Wei & Pingjun Sun, 2020. "Analyzing the Characteristics and Causes of Location Spatial Agglomeration of Listed Companies: An Empirical Study of China’s Yangtze River Economic Belt," Complexity, Hindawi, vol. 2020, pages 1-14, December.
    3. Sergio Mariotti & Rocco Mosconi & Lucia Piscitello, 2019. "Location and survival of MNEs' subsidiaries: Agglomeration and heterogeneity of firms," Strategic Management Journal, Wiley Blackwell, vol. 40(13), pages 2242-2270, December.
    4. Kai Li & Yunzhi Zhang & Wensi Wang & Yonglei Jiang & Hexin Zhang, 2022. "Spatial location of new foreign firms in Shanghai under the transformation of urban development," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 405-420, April.
    5. Veronika Hecht, 2017. "Location choice of German multinationals in the Czech Republic," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 25(4), pages 593-623, October.
    6. Manuel Rico & Santiago Cantarero & Francisco Puig, 2021. "Regional Disparities and Spatial Dependence of Bankruptcy in Spain," Mathematics, MDPI, vol. 9(9), pages 1-20, April.
    7. João J. M. Ferreira & Cristina I. Fernandes & Mário L. Raposo, 2017. "The Effects of Location on Firm Innovation Capacity," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(1), pages 77-96, March.
    8. Ottó Csíki & Réka Horváth & Levente Szász, 2019. "A Study of Regional-Level Location Factors of Car Manufacturing Companies in the EU," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(supplemen), pages 13-39, December.
    9. Sergio Mariotti & Lucia Piscitello & Stefano Elia, 2010. "Spatial agglomeration of multinational enterprises: the role of information externalities and knowledge spillovers," Journal of Economic Geography, Oxford University Press, vol. 10(4), pages 519-538, July.
    10. Susan Walcott, 2001. "Growing Global: Learning Locations in the Life Sciences," Growth and Change, Wiley Blackwell, vol. 32(4), pages 511-532.
    11. Adelheid Holl & Ruth Rama, 2016. "Persistence of innovative activities in times of crisis: the case of the Basque Country," European Planning Studies, Taylor & Francis Journals, vol. 24(10), pages 1863-1883, October.
    12. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    13. Prodromos Chatzoglou & Dimitrios Chatzoudes & Zografia Petrakopoulou & Elena Polychrou, 2018. "Plant location factors: a field research," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 749-786, November.
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    More about this item

    Keywords

    Spatial autocorrelation; Spatial Dubin model; Spillover effects; Labor market; Number of companies.;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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