| 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 |
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| 引用本文： | 彭如霞,夏丽丽,林剑铬.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[J].地理学报,2021,76(4):992-1005. |
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| 作者姓名： | 彭如霞 夏丽丽 林剑铬 |
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| 作者单位： | 华南师范大学地理科学学院,广州510631;华南师范大学地理科学学院,广州510631;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 |
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| 基金项目： | 国家自然科学基金项目(41001079);广东省软科学项目(2016A070705050) |
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| 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....
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| 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 |
| 收稿时间： | 2019-12-18 |
| 修稿时间： | 2020-11-30 |
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 |
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| PENG Ruxia,XIA Lili,LIN Jiange.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[J].Acta Geographica Sinica,2021,76(4):992-1005. |
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| Authors: | PENG Ruxia XIA Lili LIN Jiange |
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| Institution: | 1. School of Geography, South China Normal University, Guangzhou 510631, China2. Center for Sustainable Development of Rural and Town in Guangdong-Hong Kong-Marco Greater Bay Area, Guangzhou 510631, China |
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| 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. |
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| Keywords: | innovation policy environment foreign direct investment location selection knowledge bases polynomial logistic regression model core area of the Pearl River Delta |
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