首页|高等教育资源发展及对高技术产业的驱动效应分异研究——以成渝地区双城经济圈为例

高等教育资源发展及对高技术产业的驱动效应分异研究——以成渝地区双城经济圈为例

Research on the Differentiation of the Driving Effect of Higher Education Resources on the Development of County High-tech Industry——Taking Chengdu-Chongqing Economic Circle as an Example

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为了深入研究高等教育资源空间分布不平衡不充分及其经济效应,基于成渝地区双城经济圈各区县高等教育资源和高技术产业数据,本研究构建了发展水平评价指标体系并测度,运用空间自相关和相对发展率揭示了区域高等教育资源的空间演变特征,应用最小二乘法(OLS)回归模型,探明了高等教育资源与高技术产业发展的时空关联及驱动效应分异特征.研究结果表明:一是成渝地区双城经济圈高等教育资源连片分布在西北—东南两翼,两翼间则为塌陷区,且"核心—外围"空间格局显著,空间失衡明显,研究期内综合发展水平提升 56.88%,各区县在等级上逐级提升,空间上呈圈层式演变态势;二是高等教育资源呈现显著的空间正相关性,集聚度高但整体趋于减弱,区县间相对发展速度差距大,"马太效应"特征明显;三是高等教育资源对高技术产业发展存在明显的行业分异特征.
In order to deeply study the uneven and insufficient spatial distribution of higher education resources and their economic effects,based on the data of higher education resources and high-tech industries in various districts and counties of the Chengdu Chongqing Economic Circle,this study constructs a development level evaluation index system and measured it.Using spatial autocorrelation and relative development rate,the spatial evolution characteristics of regional higher education resources are revealed.The least squares(OLS)regression model is applied to explore the spatiotemporal correlation and driving effect differentiation characteristics of higher education resources and high-tech industry development.The research results show that:firstly,the higher education resources in the Chengdu Chongqing Economic Circle are distributed in contiguous areas between the northwest and southeast wings,with a collapsed area between the two wings,and the"core periphery"spatial pattern is significant,with obvious spatial imbalance,during the research period,the comprehensive development level increased by 56.88%,and each district and county gradually improved in level,showing a circular evolution trend in space;secondly,there is a significant spatial positive correlation between higher education resources,with high agglomeration but overall weakening.There is a large gap in relative development speed between districts and counties,and the characteristics of the"Matthew effect"are obvious;the third is that higher education resources have obvious industry differentiation characteristics for the development of high-tech industries.

innovation-drivenhigher education resourceshigh technology industrydriving effectChengdu-Chongqing Economic Circle

胡进超、刘睿

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重庆师范大学地理与旅游学院, 重庆 401331

地理信息系统应用研究重庆市高校重点实验室, 重庆 401331

创新驱动 高等教育资源 高技术产业 驱动效应 成渝地区双城经济圈

重庆市教育科学规划课题重点项目重庆市教委科学技术研究计划重大项目重庆市自然科学基金面上项目

K22YD205072KJZD-M202200502cstc2020jcyjmsxmX0521

2024

10.3969/j.issn.1674-9146.2024.04.074

科技创新与生产力
太原科技战略研究院

科技创新与生产力

影响因子：0.271
ISSN：1674-9146
年,卷(期)：2024.45(4)
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