Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (4): 992-1005.doi: 10.11821/dlxb202104014

• Geographical Relationship and Regional Development • Previous Articles     Next Articles

The impact of innovation policy environment on location choice of foreign direct investment from the perspective of knowledge base: A case study of six cities in the core area of the Pearl River Delta

PENG Ruxia1(), XIA Lili1,2(), LIN Jiange1   

  1. 1. School of Geography, South China Normal University, Guangzhou 510631, China
    2. Center for Sustainable Development of Rural and Town in Guangdong-Hong Kong-Marco Greater Bay Area, Guangzhou 510631, China
  • Received:2019-12-18 Revised:2020-11-30 Online:2021-04-25 Published:2021-06-25
  • Contact: XIA Lili E-mail:2017022050@m.scnu.edu.cn;hslily@163.com
  • Supported by:
    National Natural Science Foundation of China(41001079);Soft Science Foundation of Guangdong Province(2016A070705050)

Abstract:

Foreign Direct Investment (FDI) is divided into analytical, synthetic, and symbolic types according to the knowledge base type. The innovation policy in the core area of the Pearl River Delta in 2007-2016 has been textually analyzed and quantitatively assessed from the policy tools perspective to understand the situation of the innovation policy environment. Based on this, the polynomial logistic regression model was used to investigate the impact of the study area's innovation policy environment on the location choice of FDI with different knowledge-based types. By doing this, results are obtained as follows: (1) The time and space differentiation of the innovation policy environment is obvious. The turning point is found in 2010. After that, the innovation policy intensity significantly increased, while the degree of synergy decreased. The intensity of innovation policy does not match with the degree of synergy, both of which show a wedge-shaped spatial structure, but the spatial heterogeneity of them is obvious. (2) The intensity of the synergy of innovation policy environment has significant positive effects on FDI location selection, while the degree of its impact on the heterogeneous knowledge base of FDI varies. The regional innovation policy environment optimization makes it more likely to be the target of analytic and synthetic FDI location selection. (3) Enterprise entry mode, government attitude and layout area have a significant impact on FDI location selection. The impact of business service levels on FDI location selection is significantly positive, while the impact of urban population density and agglomeration economic level is significantly negative. These bring important inspiration to local governments to implement more localized innovation policies and to attract differentiated knowledge base of FDI to build regional competitive advantage.

Key words: innovation policy environment, foreign direct investment, location selection, knowledge bases, polynomial logistic regression model, core area of the Pearl River Delta