| 中国中部地区技术关联对产业创新的影响研究 |
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| 引用本文： | 郝均,曾刚,赵建吉,胡志强.中国中部地区技术关联对产业创新的影响研究[J].地理研究,2020,39(3):601-610. |
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| 作者姓名： | 郝均 曾刚 赵建吉 胡志强 |
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| 作者单位： | 1. 华东师范大学中国现代城市研究中心/城市与区域科学学院,上海 200062;2. 河南大学黄河文明与可持续发展研究中心,开封 475001 |
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| 基金项目： | 教育部人文社科基地重大项目(17JJD790006);国家自然科学基金青年项目(41801109) |
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| 摘 要： | 技术关联对地区产业创新和经济增长具有重要影响。本文从演化经济地理学认知邻近的视角出发,借助中部地区制造业企业数据和专利数据,运用技术关联分析方法,探究制造业四位数行业技术关联对产业创新的影响机制。结果表明：随着时间的推移,技术关联对创新能力较弱的中部地区产业创新的促进作用越来越强;对于资源型产业集中、经济发展前景不佳的山西省而言,技术关联的作用并不显著;技术关联对其他五省制造业创新具有正向作用,呈现中间强南北弱的空间格局;从产业门类看,技术关联对技术密集型产业创新促进作用最强,劳动密集型产业次之,资源密集型产业靠后,资本密集型产业最弱。
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| 关 键 词： | 产业创新 技术关联 认知邻近 中部地区 |
| 收稿时间： | 2019-01-17 |
| 修稿时间： | 2019-06-12 |
The impacts of technological relatedness on industrial innovation in central China |
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| HAO Jun,ZENG Gang,ZHAO Jianji,HU Zhiqiang.The impacts of technological relatedness on industrial innovation in central China[J].Geographical Research,2020,39(3):601-610. |
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| Authors: | HAO Jun ZENG Gang ZHAO Jianji HU Zhiqiang |
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| Institution: | 1. Center for Modern Chinese City Studies & School of City and Regional Science, East China Normal University, Shanghai 200062, China;2. Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, Henan, China |
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| Abstract: | Cognitive proximity based on technological relatedness has an important impact on the knowledge spillover effect between industries. This conclusion refutes the important influence of traditional geographical proximity based on knowledge externality on knowledge spillover. The existing research mainly focused on the promotion of high-tech industry innovation by technological relatedness at national spatial scale, but ignored the analysis of the relationship between traditional manufacturing technological relatedness and industrial innovation at regional spatial scales, especially for underdeveloped regions. This paper draws on the concept of cognitive proximity in evolutionary economic geography, and uses the improved technological relatedness analysis method to take central China as an example to investigate the impact mechanism of technological relatedness on industrial innovation in the four-digit classification level dimension of manufacturing industry. The results show that: (1) the industrial technological relatedness in central China has significantly improved industrial innovation performance, and the effect becomes more and more obvious with the passage of time. (2) From the perspective of regional heterogeneity, the technological relatedness of Shanxi Province, which is dominated by resource-based industries and has poor economic development prospects, is not significant. The level of innovation in manufacturing of another five provinces, namely Henan, Hubei, Hunan, Anhui, and Jiangxi, is obviously promoting, and the spatial pattern shows a strong central but a weak link between the north and south. (3) From the perspective of industry categories, technological relatedness not only plays a significant role in promoting high-tech industrial innovation, but also has a great impact on the promotion of resource-intensive, labor-intensive, and capital-intensive industrial innovations, although the degree of influence is different. The role of technological relatedness in promoting industrial innovation from strong to weak is followed by technology-intensive industries, labor-intensive industries, resource-intensive industries, and capital-intensive industries. (4) In addition, this paper finds that the fierce competitive environment and government policy support contribute to the improvement of manufacturing innovation. Local governments should take measures to promote industrial innovation from two aspects: establishing innovative platforms and technology service institutions to strengthen inter-industry and intra-industry enterprise contact and shorten the cognitive distance between industries; prioritizing the development of industries that have higher technological relatedness with local industries, and introducing related companies, thus to promote the transformation and upgrading of regional industries. |
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| Keywords: | industrial innovation technological relatedness cognitive proximity central China |
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