IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v42y2017icp1-14.html
   My bibliography  Save this article

The knowledge spillover effects of FDI on the productivity and efficiency of research activities in China

Author

Listed:
  • Zhang, Lin

Abstract

As China is moving toward an innovation-driven economy, this paper offers new insights for both policymakers and investors to optimize the effectiveness of investment performance. This paper studies China's provincial research activities with a focus on the spillover-induced productivity and efficiency change. The results show that spillovers as a result of inflow of foreign investment contribute positively to the performance of overall research activities, however, the productivity effects vary across regions. Our analysis also indicates that highly skewed distribution of FDI leads to a less improved innovation efficiency in FDI-rich provinces. Future innovation policy should adjust the investment profiles based on the preferential innovation output on one hand, and optimize the complementary policy for FDI on the other hand to reduce inefficiency and the potential negative effects of knowledge spillovers. Inter-provincial governmental cooperation is necessary to resolve the uneven distribution of FDI and improve the innovation efficiency in both FDI-poor and rich regions.

Suggested Citation

  • Zhang, Lin, 2017. "The knowledge spillover effects of FDI on the productivity and efficiency of research activities in China," China Economic Review, Elsevier, vol. 42(C), pages 1-14.
  • Handle: RePEc:eee:chieco:v:42:y:2017:i:c:p:1-14
    DOI: 10.1016/j.chieco.2016.11.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043951X16301390
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chieco.2016.11.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Kaihua & Guan, Jiancheng, 2011. "Mapping the functionality of China's regional innovation systems: A structural approach," China Economic Review, Elsevier, vol. 22(1), pages 11-27, March.
    2. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: an Inverted-U Relationship," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 701-728.
    3. Binswanger, Hans P, 1974. "The Measurement of Technical Change Biases with Many Factors of Production," American Economic Review, American Economic Association, vol. 64(6), pages 964-976, December.
    4. Brian J. Aitken & Ann E. Harrison, 2022. "Do Domestic Firms Benefit from Direct Foreign Investment? Evidence from Venezuela," World Scientific Book Chapters, in: Globalization, Firms, and Workers, chapter 6, pages 139-152, World Scientific Publishing Co. Pte. Ltd..
    5. Yasser Abdih & Frederick Joutz, 2006. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Staff Papers, Palgrave Macmillan, vol. 53(2), pages 1-3.
    6. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    7. Klein, Michael W. & Rosengren, Eric, 1994. "The real exchange rate and foreign direct investment in the United States : Relative wealth vs. relative wage effects," Journal of International Economics, Elsevier, vol. 36(3-4), pages 373-389, May.
    8. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    9. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    10. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    11. Bruce A. Blonigen, 2019. "Firm-Specific Assets and the Link Between Exchange Rates and Foreign Direct Investment," World Scientific Book Chapters, in: Foreign Direct Investment, chapter 3, pages 89-120, World Scientific Publishing Co. Pte. Ltd..
    12. Albert G. Z. Hu & Gary H. Jefferson, 2002. "FDI Impact and Spillover: Evidence from China's Electronic and Textile Industries," The World Economy, Wiley Blackwell, vol. 25(8), pages 1063-1076, August.
    13. Lin, Ping & Liu, Zhuomin & Zhang, Yifan, 2009. "Do Chinese domestic firms benefit from FDI inflow?: Evidence of horizontal and vertical spillovers," China Economic Review, Elsevier, vol. 20(4), pages 677-691, December.
    14. Scherngell, Thomas & Borowiecki, Martin & Hu, Yuanjia, 2014. "Effects of knowledge capital on total factor productivity in China: A spatial econometric perspective," China Economic Review, Elsevier, vol. 29(C), pages 82-94.
    15. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    16. Hu, Albert Guangzhou & Jefferson, Gary H., 2009. "A great wall of patents: What is behind China's recent patent explosion?," Journal of Development Economics, Elsevier, vol. 90(1), pages 57-68, September.
    17. Vinish Kathuria, 2000. "Productivity spillovers from technology transfer to Indian manufacturing firms," Journal of International Development, John Wiley & Sons, Ltd., vol. 12(3), pages 343-369, April.
    18. Zhang, Kevin Honglin, 2014. "How does foreign direct investment affect industrial competitiveness? Evidence from China," China Economic Review, Elsevier, vol. 30(C), pages 530-539.
    19. Filippo Reganati & Edgardo Sica, 2007. "Horizontaland vertical spillovers from FDI: Evidence from panel data for the Italian manufacturing sector," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 8(4), pages 259-266.
    20. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    21. Griliches, Zvi, 1980. "R & D and the Productivity Slowdown," American Economic Review, American Economic Association, vol. 70(2), pages 343-348, May.
    22. Xiaolan Fu, 2008. "Foreign Direct Investment, Absorptive Capacity and Regional Innovation Capabilities: Evidence from China," Oxford Development Studies, Taylor & Francis Journals, vol. 36(1), pages 89-110.
    23. Jeon, Yongbok & Park, Byung Il & Ghauri, Pervez N., 2013. "Foreign direct investment spillover effects in China: Are they different across industries with different technological levels?," China Economic Review, Elsevier, vol. 26(C), pages 105-117.
    24. Ito, Banri & Yashiro, Naomitsu & Xu, Zhaoyuan & Chen, XiaoHong & Wakasugi, Ryuhei, 2012. "How do Chinese industries benefit from FDI spillovers?," China Economic Review, Elsevier, vol. 23(2), pages 342-356.
    25. John Mullahy, 1997. "Instrumental-Variable Estimation Of Count Data Models: Applications To Models Of Cigarette Smoking Behavior," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 586-593, November.
    26. Shang, Qingyan & Poon, Jessie P.H. & Yue, Qingtang, 2012. "The role of regional knowledge spillovers on China's innovation," China Economic Review, Elsevier, vol. 23(4), pages 1164-1175.
    27. Li, Xibao, 2009. "China's regional innovation capacity in transition: An empirical approach," Research Policy, Elsevier, vol. 38(2), pages 338-357, March.
    28. Cheung Kui-yin & Lin, Ping, 2004. "Spillover effects of FDI on innovation in China: Evidence from the provincial data," China Economic Review, Elsevier, vol. 15(1), pages 25-44.
    29. Bai, Chong-En & Ma, Hong & Pan, Wenqing, 2012. "Spatial spillover and regional economic growth in China," China Economic Review, Elsevier, vol. 23(4), pages 982-990.
    30. Thompson, Edmund R., 2002. "Clustering of Foreign Direct Investment and Enhanced Technology Transfer: Evidence from Hong Kong Garment Firms in China," World Development, Elsevier, vol. 30(5), pages 873-889, May.
    31. Wheeler, David & Mody, Ashoka, 1992. "International investment location decisions : The case of U.S. firms," Journal of International Economics, Elsevier, vol. 33(1-2), pages 57-76, August.
    32. Hayami, Yujiro & Ruttan, V W, 1970. "Factor Prices and Technical Change in Agricultural Development: The United States and Japan, 1880-1960," Journal of Political Economy, University of Chicago Press, vol. 78(5), pages 1115-1141, Sept.-Oct.
    33. Kuo, Chun-Chien & Yang, Chih-Hai, 2008. "Knowledge capital and spillover on regional economic growth: Evidence from China," China Economic Review, Elsevier, vol. 19(4), pages 594-604, December.
    34. Richmond, J, 1974. "Estimating the Efficiency of Production," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 515-521, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuandi Wang & Lutao Ning & Jian Li & Martha Prevezer, 2016. "Foreign Direct Investment Spillovers and the Geography of Innovation in Chinese Regions: The Role of Regional Industrial Specialization and Diversity," Regional Studies, Taylor & Francis Journals, vol. 50(5), pages 805-822, May.
    2. Haiwei Jiang & Yousha Liang & Shiyuan Pan, 2022. "Foreign direct investment and regional innovation: Evidence from China," The World Economy, Wiley Blackwell, vol. 45(6), pages 1876-1909, June.
    3. Branstetter, Lee, 2006. "Is foreign direct investment a channel of knowledge spillovers? Evidence from Japan's FDI in the United States," Journal of International Economics, Elsevier, vol. 68(2), pages 325-344, March.
    4. Fu, Xiaolan & Pietrobelli, Carlo & Soete, Luc, 2011. "The Role of Foreign Technology and Indigenous Innovation in the Emerging Economies: Technological Change and Catching-up," World Development, Elsevier, vol. 39(7), pages 1204-1212, July.
    5. Ito, Banri & Yashiro, Naomitsu & Xu, Zhaoyuan & Chen, XiaoHong & Wakasugi, Ryuhei, 2012. "How do Chinese industries benefit from FDI spillovers?," China Economic Review, Elsevier, vol. 23(2), pages 342-356.
    6. Shicong XU & Abdoul G. SAM, 2021. "Diversity Or Specializarion? Understanding Knowledge Spillover Mechanisms In China," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 225-238, June.
    7. Neil Foster-McGregor, 2012. "Innovation and Technology Transfer across Countries," wiiw Research Reports 380, The Vienna Institute for International Economic Studies, wiiw.
    8. Li, Xibao, 2011. "Sources of External Technology, Absorptive Capacity, and Innovation Capability in Chinese State-Owned High-Tech Enterprises," World Development, Elsevier, vol. 39(7), pages 1240-1248, July.
    9. Xiong, Ailun & Xia, Senmao & Ye, Zhen Peter & Cao, Dongmei & Jing, Yanguo & Li, Hongyi, 2020. "Can innovation really bring economic growth? The role of social filter in China," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 50-61.
    10. Ning, Lutao & Wang, Fan & Li, Jian, 2016. "Urban innovation, regional externalities of foreign direct investment and industrial agglomeration: Evidence from Chinese cities," Research Policy, Elsevier, vol. 45(4), pages 830-843.
    11. Markus Eberhardt & Christian Helmers & Zhihong Yu, 2011. "Is the Dragon Learning to Fly? An Analysis of the Chinese Patent Explosion," Discussion Papers 11/16, University of Nottingham, GEP.
    12. Chen, Yongmin & Jiang, Haiwei & Liang, Yousha & Pan, Shiyuan, 2022. "The impact of foreign direct investment on innovation: Evidence from patent filings and citations in China," Journal of Comparative Economics, Elsevier, vol. 50(4), pages 917-945.
    13. Francesco Di Comite & D'Artis Kancs, 2015. "Macro-Economic Models for R&D and Innovation Policies - A Comparison of QUEST, RHOMOLO, GEM-E3 and NEMESIS," JRC Research Reports JRC94323, Joint Research Centre.
    14. 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.
    15. Fei Yu & Yanrui Wu, 2013. "Patent Citations and Knowledge Spillovers: An Analysis of Chinese Patents Registered in the US," Economics Discussion / Working Papers 13-08, The University of Western Australia, Department of Economics.
    16. Li, Jian & Strange, Roger & Ning, Lutao & Sutherland, Dylan, 2016. "Outward foreign direct investment and domestic innovation performance: Evidence from China," International Business Review, Elsevier, vol. 25(5), pages 1010-1019.
    17. Sajid Anwar & Sizhong Sun, 2019. "Firm heterogeneity and FDI-related productivity spillovers: A theoretical investigation," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 28(1), pages 1-10, January.
    18. Pradhan, Jaya Prakash, 2013. "The Geography of Patenting In India: Patterns and Determinants," MPRA Paper 50595, University Library of Munich, Germany.
    19. Ascani, Andrea & Balland, Pierre-Alexandre & Morrison, Andrea, 2020. "Heterogeneous foreign direct investment and local innovation in Italian Provinces," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 388-401.

    More about this item

    Keywords

    Patent application; Spillover; Productivity; Efficiency; Poisson model; DEA;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • D2 - Microeconomics - - Production and Organizations
    • F19 - International Economics - - Trade - - - Other
    • F29 - International Economics - - International Factor Movements and International Business - - - Other
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chieco:v:42:y:2017:i:c:p:1-14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/chieco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.