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| 东北地区创新资源与产业协同发展研究 | |
| 引用本文： | 焦敬娟,王姣娥,刘志高.东北地区创新资源与产业协同发展研究[J].地理科学,2016,36(9):1338-1348. |
| 作者姓名： | 焦敬娟 王姣娥 刘志高 |
| 作者单位： | 1.北京交通大学经济管理学院,北京 100044 2. 区域可持续发展分析与模拟重点实验室/中国科学院地理科学与资源研究所,北京 100101 |
| 基金项目： | 国家自然科学基金项目（71541020）资助 |
| 摘 要： | 采用探索性空间数据分析和象限图法,以县区为基本研究单元,从空间和行业2个视角,探讨东北地区创新资源和产业发展的集聚性和协同性。通过研究发现：东北地区创新资源和产业发展均表现出明显的空间集聚性,主要集中在沈阳、大连、长春和哈尔滨等城市市辖区,但在市辖区内部集聚区存在较大差异,导致创新资源和产业发展协调性在四大城市市辖区及其周边县区呈严重偏离特征,尤其是汽车制造业和通用设备制造业,而医药制造业和专用设备制造业空间协同性较好;从行业分析,通用设备制造业、化学原料和化学制品制造业、医药制造业和专用设备制造业集聚了东北地区55%的发明专利,而43.3%的工业总产值集中在农副食品加工业、汽车制造业,黑色金属冶炼和压延加工业,非金属矿物制品业,石油加工、炼焦和核燃料加工业等5大行业,导致各行业创新资源和产业发展的协同性相对较低,且仅非金属制造业的协同性高于所有行业平均水平。 |
| 关 键 词： | 创新资源 产业发展 集聚性 协同性 东北地区 |
| 收稿时间： | 2016-04-28 |
| 修稿时间： | 2016-06-29 |
Relationship Between Innovation Resources and Industry Development |
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| Jingjuan Jiao,Jiaoe Wang,Zhigao Liu.Relationship Between Innovation Resources and Industry Development[J].Scientia Geographica Sinica,2016,36(9):1338-1348. | |
| Authors: | Jingjuan Jiao Jiaoe Wang Zhigao Liu |
| Institution: | 1. School of Economics and Management,Beijing Jiaotong University,Beijing 100044,China 2. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China |
| Abstract: | Influenced by the development of knowledge economy and scientific technology, innovation-driven development is becoming an important strategy of economic development. The spatial patterns of innovation resources and its’ relation with economic development largely influence the economic development. Therefore, it is significant to explore the relationship between innovation resources and industry development. This article examines the relationship between innovation resources and industry development from both the spatial and industrial perspectives, using the methods of exploratory spatial data analysis and quadrant map approach. The results indicate that: both the innovation resources and industry development are under the state of agglomeration in space, while the degree of spatial agglomeration of different industrial sectors are quite different. The industrial sectors of automobile industry, general equipment manufacturing industry, special equipment manufacturing industry and medicine industry have relatively higher degree of spatial agglomeration than the others. Spatially, the counties and districts of Dalian, Shenyang, Changchun and Harbin belong to the over-innovation or under-innovation, especially the industrial sectors of automobile industry and general equipment manufacturing industry, while the spatial patterns of the relationship between innovation resources and industry development share the different characters. |
| Keywords: | innovation source industry development agglomeration coordination Northeast China |
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