地理学报 ›› 2021, Vol. 76 ›› Issue (4): 992-1005.doi: 10.11821/dlxb202104014

• 地缘关系与区域发展 • 上一篇    下一篇

创新政策环境对外商直接投资区位选择的影响——以珠江三角洲核心区六市为例

彭如霞1(), 夏丽丽1,2(), 林剑铬1   

  1. 1.华南师范大学地理科学学院,广州 510631
    2.华南师范大学粤港澳大湾区村镇可持续发展研究中心,广州 510631
  • 收稿日期:2019-12-18 修回日期:2020-11-30 出版日期:2021-04-25 发布日期:2021-06-25
  • 通讯作者: 夏丽丽(1975-), 女, 安徽寿县人, 博士, 副研究员, 研究方向为产业技术创新与空间演变、创新与区域发展。E-mail: hslily@163.com
    夏丽丽(1975-), 女, 安徽寿县人, 博士, 副研究员, 研究方向为产业技术创新与空间演变、创新与区域发展。E-mail: hslily@163.com
    夏丽丽(1975-), 女, 安徽寿县人, 博士, 副研究员, 研究方向为产业技术创新与空间演变、创新与区域发展。E-mail: hslily@163.com
  • 作者简介:彭如霞(1995-), 女, 四川眉山人, 硕士生, 研究方向为创新与区域发展。E-mail: 2017022050@m.scnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(41001079);广东省软科学项目(2016A070705050)

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 Published:2021-04-25 Online:2021-06-25
  • Supported by:
    National Natural Science Foundation of China(41001079);Soft Science Foundation of Guangdong Province(2016A070705050)

摘要:

外商直接投资(FDI)企业按知识基础类型可分为解析型、合成型和象征型,从政策工具维度对珠江三角洲核心区六市2007—2016年的创新政策进行文本分析,以创新政策强度和创新政策协同度两个指标量化评估珠三角核心区六市创新政策环境,利用多项式逻辑回归模型识别和检验创新政策环境对异质性知识基础的外商直接投资企业区位选择的影响。结果表明:① 珠三角核心区六市创新政策环境时空分异显著,以2010年为时间节点创新政策强度显著提升而协同度明显降低,创新政策强度与协同度均呈楔形空间结构但二者空间异构明显;创新政策强度和创新政策协同度对FDI区位选择皆有显著的正效应,且随着创新政策协同度的提升区域更有可能成为解析型和合成型FDI区位选择的对象;③ 政府态度、企业进入方式和布局区位对FDI区位选择有显著影响,集聚因素中的商务服务水平对FDI区位选择的影响显著为正,而城市人口密度和集聚经济水平的影响显著为负。研究结果对地方政府实施更加本地化的创新政策吸引差异化知识基础的FDI,构建区域竞争优势带来重要启示。

关键词: 创新政策环境, 外商直接投资, 区位选择, 知识基础, 多项式逻辑回归模型, 珠江三角洲核心区

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