The improvement of a country’s technological innovation level is influenced by the technology spillover of inward foreign direct investment (IFDI) and outward foreign direct investment (OFDI). Based on the Coe and Helpmen’s theory of international capital flow model and one-way causality measure model, this study examines the similarities and dissimilarities between the dynamic effects of IDFI and OFDI on technological innovation in China and Japan to enumerate the differences in the utilization effect of FDI between developed and developing countries. The empirical results show that the one-way causality intensity of IFDI to technological innovation in China is weaker than that in Japan, but the FDI volatility in China is stronger than that in Japan. The one-way causality intensity of OFDI to technological innovation are low both in China and Japan, and the patterns of long-term and short-term effects are not identical. According to the results of our empirical research, we draw the conclusions and proposed suggestions for using IFDI and OFDI in China and Japan.

1. [1] D. T. Coe and E. Helpman, “International R&D spillovers,” European Economic Review, Vol.39, No.5, pp. 859-887, 1995.
2. [2] J. Konings, “The effects of Foreign Direct Investment on Domestic Firms: Evidence from Firm-level Panel Data in Emerging Economies,” Economics of Transition, Vol.9, No.3, pp. 619-633, 2001.
3. [3] C. Sarbajit, “Foreign Capital, Welfare and Urban Unemployment in the Presence of Agricultural Dualism,” Japan and the World Economy, Vol.19, No.2, pp. 149-165, 2007.
4. [4] S. Zhou, H. Wu, and C. An, “Multinational Corporation Investment and China’s Technology Innovation: Based on Comparative Study of Chinese Data before and after the Financial Crisis,” Nankai J. (Philosophy and Social Sciences Edition), No.1, pp. 144-152, 2014.
5. [5] C. Chen, “Import, FDI and International Knowledge Capital Spillovers: Evidence from Cross-country Panel Data,” World Economic Studies, No.2, pp. 90-101, 2016.
6. [6] G. Jing, P. Li, and J. Xu, “Financial Structure, Two-way FDI and Technological Progress,” Financial Research, No.7, pp. 62-77, 2017.
7. [7] X. Hunag, “International Trade, FDI and International R&D Spillovers: Empirical Analysis Based on Panel Data of Chinese Provinces,” J. of Sun Yat-sen University (Philosophy and Social Science Edition), Vol.58, No.2, pp. 187-196, 2018.
8. [8] D. Shi and Y. Yang, “FDI and Corporate Innovation: Spillover or Crowing Out?,” World Economic Studies, No.9, pp. 120-134, 2018.
9. [9] W. Cai and X. Chen, “Financial Marketization, International Knowledge Spillover and Technological Progress: Based on Linear and Nonlinear Analysis under Import and Investment Channels,” Int. Economic and Trade Exploration, Vol.34, No.8, pp. 94-109, 2018.
10. [10] Q. Mao and J. Xu, “Does Chinese Foreign Direct Investment Promote Enterprises’ Innovation?,” World Economy, No.8, pp. 98-115, 2014.
11. [11] Y. Wang, J. Yan, and C. Ma, “Chinese Enterprises’ Foreign Direct Investment and Regional Independent Innovation Ability,” Economic and Management Research, Vol.36, No.10, pp. 122-129, 2015.
12. [12] H. Li and L. Wen, “Does Two-way Investment in Service Industry Improve Chinese enterprises’ Innovation Competence?,” Int. Economic and Trade Exploration, Vol.32, No.3, pp. 18-33, 2016.
13. [13] J. Li, P. Tang, L. Wan, and Y. Pang, “China’s Outward Foreign Direct Investment, Reverse Technology Spillover and Innovation Capability: An Empirical Study of Provincial Panel Data,” World Economy Studies, No.4, pp. 59-71, 2017.
14. [14] Y. Wang and S. Liu, “Empirical Research on International Technology Spillover Channels,” Quantitative Economics and Technical Economics Research, No.4, pp. 153-161, 2008.
15. [15] M. Li, “International R&D Spillover and China’s Technological Progress: An Empirical Study Based on FDI and OFDI Transmission Mechanism,” Scientific Research Management, Vol.33, No.4, pp. 86-93, 2012.
16. [16] S. Liang, J. Xie, and S. Yuan, “Research on China’s Reverse Technology Spillover Effect of OFDI in the Central and Eastern European Countries,” Macroeconomic Research, No.8, pp. 60-67, 2018.
17. [17] Y. Shao, “FDI, OFDI, Domestic Technology Progress,” Quantitative Economics and Technical Economics Research, No.9, pp. 21-38, 2017.
18. [18] B. V. P. D. L. Potterie and F. Lichtenberg, “Does Foreign Direct Investment Transfer Technology Across Borders?,” The Review of Economics and Statistics, Vol. 83, No.3, pp. 490-497, 2001.
19. [19] C. W. J. Granger, “Investigating Causal Relations by Cross-spectrum Methods,” Econometrica, Vol.39, No.3, pp. 424-438, 1969.
20. [20] Y. Hosoya, “The Decomposition and Measurement of the Interdependency between Second order Stationary Processes,” Probability Theory and Related Fields, Vol.88, No.1, pp. 429-444, 1991.
21. [21] Y. Hosoya, “Causal Analysis and Statistical Inference on Possibly Non-stationary Time Series,” Cambridge: Cambridge University Press, Seventh World Congress, pp. 1-33, 1997.
22. [22] F. Yao and Y. Hosoya, “Inference on One-way Effect and Evidence in Japanese Macroeconomic Data,” J. of Econometrics, Vol.98, No.2, pp. 225-255, 2000.
23. [23] J. R. M. Hosking, “The Multivariate Portmanteau Statistics,” J. of the American Statistical Association, Vo.75, No.371, pp. 602-608, 1980.
24. [24] I. Cockburn and Z. Griliches, “Industry Effects and Appropriability Measures in the Stock Market’s Valuation of R&D and Patents,” American Economic Review, No.5, pp. 419-423, 1988.