{"title":"数字化转型背景下绿色技术创新网络的时空演化及其邻近机制——以中国长三角地区为例","authors":"Danya Cheng, Senlin Hu, Gang Zeng","doi":"10.1007/s12061-025-09685-z","DOIUrl":null,"url":null,"abstract":"<div><p>To explore the multidimensional proximity mechanism of green technology innovation networks in the context of digital transformation, this paper incorporates “digital proximity” into the multidimensional proximity framework. Based on spatial interaction principle and negative binomial regression model, this study illustrates the structural characteristics and analyzes proximity mechanisms of green technological innovation networks among 41 cities in the Yangtze River Delta region of China. The results provide evidence that “digital proximity” has a substitution effect with geographic proximity and institutional proximity, a complementary effect with social proximity, and a non-significant interaction effect with technological proximity. Compared to the below average “digital proximity”, the above average can significantly promote inter-city green technology innovation cooperation, and the interaction effects with traditional multidimensional proximity are more significant. The findings call for peripheral cities to enhance their network position in the regional green technology innovation system by strengthening their “digital proximity” to core cities.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatio-Temporal Evolution of Green Technology Innovation Networks and its Proximity Mechanism in the Context of Digital Transformation: The Case of Yangtze River Delta in China\",\"authors\":\"Danya Cheng, Senlin Hu, Gang Zeng\",\"doi\":\"10.1007/s12061-025-09685-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>To explore the multidimensional proximity mechanism of green technology innovation networks in the context of digital transformation, this paper incorporates “digital proximity” into the multidimensional proximity framework. Based on spatial interaction principle and negative binomial regression model, this study illustrates the structural characteristics and analyzes proximity mechanisms of green technological innovation networks among 41 cities in the Yangtze River Delta region of China. The results provide evidence that “digital proximity” has a substitution effect with geographic proximity and institutional proximity, a complementary effect with social proximity, and a non-significant interaction effect with technological proximity. Compared to the below average “digital proximity”, the above average can significantly promote inter-city green technology innovation cooperation, and the interaction effects with traditional multidimensional proximity are more significant. The findings call for peripheral cities to enhance their network position in the regional green technology innovation system by strengthening their “digital proximity” to core cities.</p></div>\",\"PeriodicalId\":46392,\"journal\":{\"name\":\"Applied Spatial Analysis and Policy\",\"volume\":\"18 3\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Spatial Analysis and Policy\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12061-025-09685-z\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-025-09685-z","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Spatio-Temporal Evolution of Green Technology Innovation Networks and its Proximity Mechanism in the Context of Digital Transformation: The Case of Yangtze River Delta in China
To explore the multidimensional proximity mechanism of green technology innovation networks in the context of digital transformation, this paper incorporates “digital proximity” into the multidimensional proximity framework. Based on spatial interaction principle and negative binomial regression model, this study illustrates the structural characteristics and analyzes proximity mechanisms of green technological innovation networks among 41 cities in the Yangtze River Delta region of China. The results provide evidence that “digital proximity” has a substitution effect with geographic proximity and institutional proximity, a complementary effect with social proximity, and a non-significant interaction effect with technological proximity. Compared to the below average “digital proximity”, the above average can significantly promote inter-city green technology innovation cooperation, and the interaction effects with traditional multidimensional proximity are more significant. The findings call for peripheral cities to enhance their network position in the regional green technology innovation system by strengthening their “digital proximity” to core cities.
期刊介绍：
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
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