| 中国东部沿海五大城市群创新效率、影响因素及空间溢出效应 |
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| 引用本文： | 盛彦文,骆华松,宋金平,赵金丽,张学波.中国东部沿海五大城市群创新效率、影响因素及空间溢出效应[J].地理研究,2020,39(2):257-271. |
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| 作者姓名： | 盛彦文 骆华松 宋金平 赵金丽 张学波 |
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| 作者单位： | 1. 北京师范大学地理科学学部,北京 100875;2. 云南师范大学中国西南地缘环境与边疆发展协同创新中心,昆明 650500;3. 山东师范大学地理与环境学院,济南 250358;4. 曲阜师范大学地理与旅游学院,日照 276826 |
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| 基金项目： | 国家自然科学基金项目(41271132);中国西南地缘环境与边疆发展协同创新中心开放课题 |
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| 摘 要： | 作为经济发展的战略核心区域,东部沿海城市群的创新效率关系到创新驱动发展战略的实施和创新型国家建设。基于东部沿海五大城市群创新投入和产出面板数据,引入随机前沿生产函数测度2001—2015年五大城市群的创新效率,并利用空间Durbin模型定量分析创新效率的空间溢出效应。结果表明：① 2001年以来,五大城市群的创新效率均呈现稳定增长的趋势;② 京津冀创新效率增长缓慢,山东半岛城市群创新效率的提升幅度最大,长三角创新效率的提升幅度和均值仅次于山东半岛和京津冀城市群,而城市群核心城市虽然创新资源投入较多,但创新效率偏低;③ 经济发展水平、集聚经济、外商投资、劳动力素质、政府资助、基础设施、产业结构和高新技术产业对城市群创新效率有直接作用和溢出效应。
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| 关 键 词： | 创新效率 随机前沿生产函数 空间溢出效应 空间Durbin模型 东部沿海城市群 |
| 收稿时间： | 2018-10-16 |
| 修稿时间： | 2019-06-08 |
Evaluation,influencing factors and spatial spillover of innovation efficiency in five major urban agglomerations in coastal China |
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| SHENG Yanwen,LUO Huasong,SONG Jinping,ZHAO Jinli,ZAHNG Xuebo.Evaluation,influencing factors and spatial spillover of innovation efficiency in five major urban agglomerations in coastal China[J].Geographical Research,2020,39(2):257-271. |
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| Authors: | SHENG Yanwen LUO Huasong SONG Jinping ZHAO Jinli ZAHNG Xuebo |
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| Institution: | 1. Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;2. Collaborative Innovation Center for Geopolitical Setting of Southwest China and Borderland Development, Yunnan Normal University, Kunming 650500, China;3. College of Geography and Environment, Shandong Normal University, Jinan 250358, China;4. School of Geography and Tourism, Qufu Normal University, Rizhao 276826, Shandong, China |
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| Abstract: | As the strategic core regions of national economic development, the urban agglomerations in the eastern coastal area of China has played a critical role in the implementation of innovation-driven development strategy and construction of the innovative country. Based on the dataset of innovation input and output spanning the 2001-2015 period, the SFA method and spatial Durbin model are applied to measure and examine the innovation efficiency and its influencing factors and spatial spillover effect in the five major urban agglomerations. Our results suggest that the innovation efficiency of five major urban agglomerations showed a steady increase over the studied period. Among the five urban agglomerations, the innovation efficiency in the Beijing-Tianjin-Hebei region rises slowly while that of Shandong Peninsula has increased relatively fast. The growth rate and average of innovation efficiency in the Yangtze River Delta fell behind the Shandong Peninsula and Beijing-Tianjin-Hebei region. Meanwhile, innovation efficiency in core cities of urban agglomerations is low, although they have high-input in innovation resources. Moreover, there is a significantly positive spatial spillover effect of innovation efficiency between cities in the five urban agglomerations. Economic development, agglomeration economies, FDI, the quality of labor force, the financial support by government, infrastructure, secondary industrial ratio and high-tech industries have direct and indirect effects on innovation efficiency in the urban agglomerations. |
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| Keywords: | innovation efficiency SFA spatial spillover effect spatial Durbin model urban agglomerations of eastern coastal area of China |
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