The Impact of IFDI On Regional Innovation Capability: Based on The Example of Yangtze River Delta
DOI:
https://doi.org/10.54097/hbem.v20i.13305Keywords:
IFDI; Utilization of foreign capital; Innovation capability; the Yangtze River Delta.Abstract
Based on the data of all prefecture-level cities in the Yangtze River Delta(YRD) region from 2017 to 2021, the author empirically analyzes the impact of IFDI on regional innovation capability in the YRD region of China, finding that IFDI can significantly improve the regional innovation capability of China's YRD region. Moreover, the enhancement effect of IFDI on regional innovation capacity varies with the different levels of economic development of the cities, and IFDI can significantly enhance the regional innovation capacity in the cities with strong and weak economic development, but it is not obvious in the cities with medium economic development.
Downloads
References
Harris, R& Robinson, C. Productivity Impacts and Spillovers from Foreign Ownership in the United Kingdom[J]. National Institute Economic Review, 2004, 187(58): 58-75.
HE Jie, XU Luodan. An empirical study on the spillover effects of foreign direct investment in China's industrial sector[J]. World Economy Letters,1999(2):16-21.
JIANG Dianchun, ZHANG Yu. Industry characteristics and technology spillovers of foreign direct investment:An empirical analysis based on high-tech industries[J]. World Economy,2006(10):21-29+95.
LI Ping,LU Xiao. Foreign investment liberalization and productivity of Chinese manufacturing firms[J]. Nankai Economic Research,2020,4(05):88-106.
LIN Yongqiang. The impact of international knowledge spillovers from IFDI and import trade on technological innovation in the service sector[J]. Research on Business Economics,2023(13):160-163.
PENG Diyun,WANG Yujie,ZHAO Xueqin. Research on the impact of foreign direct investment and digital economy on regional innovativeness-Empirical evidence from panel data of 280 prefecture-level cities[J]. Price Monthly,2023(08):43-50.
Romer P M. Endogeneous Technological Change[J]. Journal of Political Economy, 1990, 98(5): 71-102.SHI Biao, LI Yu Xia, YU Xhua, YAN Wang. Short-term load forecasting based on modified particle swarm optimizer and fuzzy neural network model. Systems Engineering-Theory and Practice, 2010, 30(1): 158-160.
Kokko, A. Technology, Markets Characteristics and Spillover[J]. Journal of Development Economics, 1994, (43)2:279-293.Amjady N. Short-term hourly load forecasting using time series modeling with peak load estimation capability. IEEE Transactions on Power Systems, 2001, 16(4): 798-805.
YANG Yiwen,WANG Qiuling. How IFDI Patent Spatial Agglomeration Affects the Innovation of Local Firms[J]. Journal of Southeast University (Philosophy and Social Science Edition),2023,25(04): 49-58+154-155.
LI Huasheng. Research on the impact of FDI on regional innovation efficiency[D]. Zhejiang University,2023.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
