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Knowledge spillovers, human capital and productivity

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  • Chang, Ching-Fu
  • Wang, Ping
  • Liu, Jin-Tan

Abstract

Knowledge spillovers in the form of human capital are often regarded as the engine of sustained growth and development. We employ a rich employer–employee matched dataset on the manufacturing industry in Taiwan, a newly industrialized economy, to quantify the significance of human capital spillovers and their effects on productivity gains. Using the ratio of higher-educated (university or above) employees in each city as the external human capital index of a plant (excluding the reference plant itself) and addressing the potential endogeneity of various unobservable factors attributable to the location of the plant, we find that within a given city, a 1 percent increase in the proportion of higher-educated employees will increase the productivity of plants in that city by approximately 0.93–1.15 percent. Furthermore, the productivity increases are found to be greater for high-tech plants and for those located in cities with science parks. This indicates that human capital spillovers are not only present, but stronger under greater technology intensities. Our measure of the monetary value of such spillover effects indicates that a 1 percent increase in the percentage of higher-educated employees in a city will raise the value-added per plant by US$15,937, or, equivalently, an increase of US$1.27 billion for the entire manufacturing industry.

Suggested Citation

  • Chang, Ching-Fu & Wang, Ping & Liu, Jin-Tan, 2016. "Knowledge spillovers, human capital and productivity," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 214-232.
  • Handle: RePEc:eee:jmacro:v:47:y:2016:i:pb:p:214-232
    DOI: 10.1016/j.jmacro.2015.11.003
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    8. Ciurea Maria & Man Mariana, 2018. "The Possibility of Developing an Appropriate Framework for Reflecting Information and Making Decisions on the Human Capital," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 234-239, December.
    9. Bai, Xuejie & Sun, Xianzhen & Chiu, Yung-Ho, 2020. "Does China's higher education investment play a role in industrial growth?," Technology in Society, Elsevier, vol. 63(C).
    10. Jianling Jiao & Yufei Yang & Yu Bai, 2018. "The impact of inter-industry R&D technology spillover on carbon emission in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(3), pages 913-929, April.
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    More about this item

    Keywords

    Human capital; Spillovers; Productivity; Micro-evidence from matched data;
    All these keywords.

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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