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Sources of Productivity Spillovers: Panel Data Evidence from China

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  • Badi H. Baltagi
  • Peter Egger
  • Michaela Kesina

Abstract

This paper assesses sources of productivity spillovers in China’s electric and electronic manufacturing industry using a rich panel data-set of 25,360 firms observed over the period 2004-2007. This industry is characterized by its important reliance on technology. In particular, the paper focuses on the role of other firms’ productivity as well as productivity shifters in affecting own firm-level total factor productivity. In addition, this paper examines the possible difference between spillovers from foreign-owned units and from units which participate at global markets through exporting in comparison to domestically-owned and non-exporting units. We find evidence of stronger spillovers from exporting firms than from non-exporting firms. This is true for foreign-owned as well as domestic exporters. The strength of the spillover effects differ across subsectors.

Suggested Citation

  • Badi H. Baltagi & Peter Egger & Michaela Kesina, 2014. "Sources of Productivity Spillovers: Panel Data Evidence from China," CESifo Working Paper Series 4812, CESifo.
  • Handle: RePEc:ces:ceswps:_4812
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    3. He, Ming & Chen, Yang & Schramm, Ronald M., 2016. "Agglomeration and Technological Spillovers: Firm-Level Evidence from China's Electric Apparatus Industry," RIEI Working Papers 2016-02, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    4. Paola Cardamone, 2018. "Firm innovation and spillovers in Italy: Does geographical proximity matter?," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 1-16, March.
    5. Sarker, Bibhuti & Serieux, John, 2022. "Foreign-invested and domestic firm attributes and spillover effects: Evidence from Brazil," Journal of Multinational Financial Management, Elsevier, vol. 63(C).
    6. Katarzyna Łukiewska & Małgorzata Juchniewicz, 2021. "Identification of the Relationships between Competitive Potential and Competitive Position of the Food Industry in the European Union," Sustainability, MDPI, vol. 13(8), pages 1-13, April.
    7. Ming He & Yang Chen & Ron Schramm, 2018. "Technological spillovers in space and firm productivity: Evidence from China’s electric apparatus industry," Urban Studies, Urban Studies Journal Limited, vol. 55(11), pages 2522-2541, August.
    8. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 64(3), pages 1281-1314, March.
    9. Paola Cardamone, 2017. "A Spatial Analysis of the R&D-Productivity Nexus at Firm Level," Growth and Change, Wiley Blackwell, vol. 48(3), pages 313-335, September.
    10. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    11. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
    12. Jamil, Nida & Chaudhry, Theresa Thompson & Chaudhry, Azam, 2022. "Trading textiles along the new silk route: The impact on Pakistani firms of gaining market access to China," Journal of Development Economics, Elsevier, vol. 158(C).
    13. Matija Rojec & Mark Knell, 2018. "Why Is There A Lack Of Evidence On Knowledge Spillovers From Foreign Direct Investment?," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 579-612, July.

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    More about this item

    Keywords

    technology spillovers; spatial econometrics; panel data econometrics; firm-level productivity; Chinese firms;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • 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
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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