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Industrial Agglomeration and Use of the Internet

Author

Listed:
  • Chia-Lin Chang

    (Department of Applied Economics, Department of Finance, National Chung Hsing University, Taiwan)

  • Michael McAleer

    (Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam and Tinbergen Institute, The Netherlands, Department of Quantitative Economics, Complutense University of Madrid, and Institute of Economic Research, Kyoto University.)

  • Yu-Chieh Wu

    (Department of Applied Economics. National Chung Hsing University Taichung, Taiwan)

Abstract

Taiwan has been hailed as a world leader in the development of global innovation and industrial clusters for the past decade. This paper investigates the effects of industrial agglomeration on the use of the internet and internet intensity for Taiwan manufacturing firms, and analyses whether the relationships between industrial agglomeration and total expenditure on internet usage for industries are substitutes or complements. The sample observations are based on 153,081 manufacturing plants, and covers 26 2-digit industry categories and 358 geographical townships in Taiwan. The Heckman selection model is used to adjust for sample selectivity for unobservable data for firms that use the internet. The empirical results from two-stage estimation show that: (1) for the industry overall, a higher degree of industrial agglomeration will not affect the probability that firms will use the internet, but will affect the total expenditure on internet usage; and (2) for 2-digit industries, industrial agglomeration generally decreases the total expenditure on internet usage, which suggests that industrial agglomeration and total expenditure on internet usage are substitutes.

Suggested Citation

  • Chia-Lin Chang & Michael McAleer & Yu-Chieh Wu, 2015. "Industrial Agglomeration and Use of the Internet," Documentos de Trabajo del ICAE 2015-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    • Handle: RePEc:ucm:doicae:1509
    Note: For financial support, the first author wishes to thank the National Science Council, Taiwan, and the second author is grateful to the National Science Council, Taiwan and the Australian Research Council.
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    References listed on IDEAS

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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Chang, Chia-Lin & Oxley, Les, 2009. "Industrial agglomeration, geographic innovation and total factor productivity: The case of Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2787-2796.
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    More about this item

    Keywords

    Industrial agglomeration and clusters; Global innovation; Internet penetration; Manufacturing firms; Sample selection; Incidental truncation.;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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