The Impact of FDI Technology Spillovers on Technological Progress in China’s Computer, Communication, and Other Electronic Equipment Manufacturing Industry: A Study Based on a Panel Smooth Transition Regression Model

Authors

    Liyang Qi, Weiran Wang Business School, Xinjiang Normal University, Urumqi 830017, Xinjiang, China Business School, Xinjiang Normal University, Urumqi 830017, Xinjiang, China

Keywords:

FDI horizontal spillovers, Panel smooth transition regression model, Computer, communication, and other electronic equipment manufacturing industry, Technological progress, Absorptive capacity

Abstract

With the development of economic globalization, foreign direct investment (FDI) has become a key area of focus for governments and academic research as an important means of strengthening international economic ties and promoting domestic economic development. The impact of technology spillover effects from direct investment on technological progress in host countries has also attracted widespread attention from scholars both domestically and internationally. Based on panel data from the computer, communication, and other electronic equipment manufacturing industry in 25 provinces in China from 2001 to 2021, this study employs a panel smooth transition regression model using MATLAB to investigate the impact of FDI horizontal spillover effects on technological progress in the industry, with R&D funding and R&D personnel input as transition variables. The findings of the study are as follows: (1) There is a nonlinear relationship between FDI horizontal technology spillovers and technological progress in the industry, and there are significant regional differences in the linear relationship. (2) From a national perspective, FDI horizontal technology spillovers promote technological progress in the industry, but when R&D personnel input exceeds a threshold value, FDI horizontal technology spillovers hinder technological progress in the industry. (3) At the regional level, FDI horizontal technology spillovers in the eastern region promote technological progress in the industry. However, when both R&D funding and R&D personnel input exceed their respective threshold values, FDI horizontal technology spillovers hinder technological progress in the industry. In the central and western regions, there is a linear relationship between FDI horizontal technology spillovers and technological progress in the industry. (4) The increase in FDI horizontal technology spillovers in the eastern region leads to a shift in the pathway of technological progress in the industry, from relying on technology spillovers to independent research and development.

References

Yu G, 2010, FDI Technology Spillover, Independent Research and Development, and China’s Technological Progress, dissertation, Shandong University of Technology.

Blomström AK, Zhao X, Huang K, 2005, The Economics of Foreign Direct Investment Incentives. Translated Economic Materials, 2005(2): 9–20.

Fan L, Wu Y, 2011, Horizontal and Vertical Effects of FDI Technology Spillovers—An Empirical Analysis Based on Chinese Industrial Panel Data. International Economics and Trade Research, 27(3): 40–47.

Bi K, Yang C, 2012, The Impact of FDI Spillover Effects on China’s Industrial Carbon Emission Intensity. Economic Management, 34(8): 31–39.

Zhao K, 2016, Foreign Direct Investment and the Entry and Exit of Host Country Enterprises, dissertation, Northeastern University.

Yue X, 2019, Research on FDI, Indirect Horizontal Spillovers, and Enterprise Productivity in China’s Manufacturing Industry, dissertation, Zhongnan University of Economics and Law.

Chen S, Lu C, 2019, Research on FDI Technology Spillover Effects Based on Industry Technology Similarity. Journal of International Trade, 2019(1): 106–118.

Wang H, Luo Y, Sun S, et al., 2007, R&D Performance Analysis of Communications Equipment, Computers and Other Electronic Equipment Manufacturing. Science Research Management, (Supplement 1): 158–162.

Zhu C, 2012, Industry Efficiency Analysis Based on DEA—Taking Communications Equipment, Computers, and Other Electronic Equipment Manufacturing in Shaanxi Province as an Example. Journal of Xi’an University of Posts and Telecommunications, 17(4): 92–95.

Liu C, Xu M, Chen J, 2022, Research on M&A and Restructuring Value Evaluation of Listed Companies in China—Taking the Manufacturing of Computers, Communications, and Other Electronic Equipment as an Example. China Appraisal, 2022(11): 27–33.

Hansen BE, 1999, Threshold Effects in Non-Dynamic Panel Estimation, Testing, and Inference. Journal of Econometrics, 1999(93): 345–368.

Gonzalez A, Terävirta T, Van Dijk D, et al., 2005, Panel Smooth Transition Regression Models, SSE/EFI Working Paper Series in Economics and Finance, No. 604, Stockholm School of Economics, The Economic Research Institute (EFI), Stockholm.

Wang H, Lai F, 2022, Scientific and Technological Achievements Industrialization, Total Factor Productivity, and Economic Growth—Based on Panel Data from 16 Cities in Shandong Province from 2009 to 2019. Western Finance, 2022(8): 16–25.

Peking University China Center for Economic Research, 2006, Peking University China Center for Economic Research Task Force: Vertical Specialization in China’s Export Trade and Sino-US Trade. World Economics, 2006(5): 341.

Liao L, Wang F, 2019, The Trajectory and Evolutionary Characteristics of Total Factor Productivity in Guangdong Under the Background of Opening Up. Journal of Guangdong University of Finance and Economics, 34(2): 102–112.

Fu J, Hu J, Cao X, 2018, Different Sources of FDI, Environmental Regulations, and Green Total Factor Productivity. Journal of International Trade, 2018(7): 134–148.

He X, 2022, Environmental Regulations, FDI, and Urban Total Factor Productivity, dissertation, Zhongnan University of Economics and Law.

Li Y, Han B, Zhang Q, 2011, FDI Spillovers, Threshold Effects, and Regional Technological Progress in China—An Empirical Study Based on Panel Data from 29 Provinces and Cities. Forum on Science and Technology in China, 2011(3): 79–83.

Yang L, Cheng X, 2023, Research on the Potential of China’s Export Trade with Northeast Asia Under the Background of RCEP—An Empirical Analysis Based on the Gravity Model. Northern Economy and Trade, 2023(9): 15–19.

Zhang X, Min W, 2021, Research on the Role of Education in Improving Total Factor Productivity—From Linear and Nonlinear Perspectives. Peking University Education Review, 19(3): 101–124.

Goldsmith R, 1951, A Perpetual Inventory of National Wealth. NBER Studies in Income and Wealth, 1951(14): 5–61.

Solow R, 1991, Analysis of Factors of Economic Growth [Shi Q, et al., Trans.], The Commercial Press, Beijing, 65–94.

Chen X, 2021, Analysis of the Impact of Regional Absorptive Capacity on FDI Technology Spillovers and the Threshold Effect of Alternative Indicators, dissertation, Shanghai University of Finance and Economics.

Cohen W, Levinthal D, 1989, Innovation and Learning: The Two Faces of R&D. Economic Journal, 1989(99): 569–596.

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Published

2024-12-27