{"title":"数字经济背景下科技创新效率的空间分化与驱动因素","authors":"Yang Liu , Qi Qian , Yue Wang , Honghao Zhang","doi":"10.1016/j.strueco.2024.07.009","DOIUrl":null,"url":null,"abstract":"<div><p>Scientific and technological innovation (STI) activities are facilitated under the influence of the digital economy and depend on digital elements to support innovation activities. This study measures digital element inputs and outputs using data related to the digital economy and estimates STI efficiency in 29 provincial regions in mainland China from 2010 to 2021 employing the global super-efficiency slacks-based measure (SBM) model. Then, spatial characteristics and driving forces of STI efficiency are quantified using spatial autocorrelation and geographic detectors. The results reveal that STI efficiency exhibits a fluctuating, W-shaped pattern, and the spatial correlation effect shows a gradually declining trend from 2010 to 2021. The findings reveal that the core drivers of STI efficiency are digital financial development, e-commerce development, digital access level, and related factors. Therefore, strengthening inter-regional innovation links, promoting the construction of 5 G mobile internet and accelerating the integration of digital industries into traditional industries are recommended.</p></div>","PeriodicalId":47829,"journal":{"name":"Structural Change and Economic Dynamics","volume":"71 ","pages":"Pages 208-220"},"PeriodicalIF":5.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial differentiation and driving factors of scientific and technological innovation efficiency under the background of the digital economy\",\"authors\":\"Yang Liu , Qi Qian , Yue Wang , Honghao Zhang\",\"doi\":\"10.1016/j.strueco.2024.07.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Scientific and technological innovation (STI) activities are facilitated under the influence of the digital economy and depend on digital elements to support innovation activities. This study measures digital element inputs and outputs using data related to the digital economy and estimates STI efficiency in 29 provincial regions in mainland China from 2010 to 2021 employing the global super-efficiency slacks-based measure (SBM) model. Then, spatial characteristics and driving forces of STI efficiency are quantified using spatial autocorrelation and geographic detectors. The results reveal that STI efficiency exhibits a fluctuating, W-shaped pattern, and the spatial correlation effect shows a gradually declining trend from 2010 to 2021. The findings reveal that the core drivers of STI efficiency are digital financial development, e-commerce development, digital access level, and related factors. Therefore, strengthening inter-regional innovation links, promoting the construction of 5 G mobile internet and accelerating the integration of digital industries into traditional industries are recommended.</p></div>\",\"PeriodicalId\":47829,\"journal\":{\"name\":\"Structural Change and Economic Dynamics\",\"volume\":\"71 \",\"pages\":\"Pages 208-220\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2024-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Structural Change and Economic Dynamics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0954349X24001048\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structural Change and Economic Dynamics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0954349X24001048","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
摘要
在数字经济的影响下,科技创新(STI)活动得到促进,创新活动依赖于数字要素的支持。本研究利用数字经济相关数据测算数字要素的投入与产出,并采用全球超效率松弛度量(SBM)模型估算中国大陆29个省级区域2010-2021年的科技创新效率。然后,利用空间自相关和地理探测器量化了科技创新效率的空间特征和驱动力。结果表明,科技创新效率呈现出波动的 W 型模式,空间相关效应从 2010 年到 2021 年呈现出逐渐下降的趋势。研究结果表明,科技创新效率的核心驱动因素是数字金融发展、电子商务发展、数字接入水平及相关因素。因此,建议加强区域间创新联系,推进 5 G 移动互联网建设,加快数字产业与传统产业的融合。
Spatial differentiation and driving factors of scientific and technological innovation efficiency under the background of the digital economy
Scientific and technological innovation (STI) activities are facilitated under the influence of the digital economy and depend on digital elements to support innovation activities. This study measures digital element inputs and outputs using data related to the digital economy and estimates STI efficiency in 29 provincial regions in mainland China from 2010 to 2021 employing the global super-efficiency slacks-based measure (SBM) model. Then, spatial characteristics and driving forces of STI efficiency are quantified using spatial autocorrelation and geographic detectors. The results reveal that STI efficiency exhibits a fluctuating, W-shaped pattern, and the spatial correlation effect shows a gradually declining trend from 2010 to 2021. The findings reveal that the core drivers of STI efficiency are digital financial development, e-commerce development, digital access level, and related factors. Therefore, strengthening inter-regional innovation links, promoting the construction of 5 G mobile internet and accelerating the integration of digital industries into traditional industries are recommended.
期刊介绍:
Structural Change and Economic Dynamics publishes articles about theoretical, applied and methodological aspects of structural change in economic systems. The journal publishes work analysing dynamics and structural breaks in economic, technological, behavioural and institutional patterns.