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Sources of productivity spillovers: panel data evidence from China

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  • Badi 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. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Badi Baltagi & Peter Egger & Michaela Kesina, 2015. "Sources of productivity spillovers: panel data evidence from China," Journal of Productivity Analysis, Springer, vol. 43(3), pages 389-402, June.
    • Handle: RePEc:kap:jproda:v:43:y:2015:i:3:p:389-402
    DOI: 10.1007/s11123-014-0393-z
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    3. Chen, Yang & He, Ming & Rudkin, Simon, 2017. "Manufacturing productivity in China: Deconstructing the role of Agglomeration," RIEI Working Papers 2017-04, 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. Muhammad Zeeshan Younas, 2022. "A Spatial Agglomeration Analysis of Firm Productivity: A Case of the Textile Sector of Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 27(1), pages 20-67, Jan-June.
    6. 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).
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    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. 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.
    10. 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.
    11. 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.
    12. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
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    More about this item

    Keywords

    Technology spillovers; Spatial econometrics; Panel data econometrics; Firm-level productivity; Chinese firms; C23; C31; D24; L65;
    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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