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from 2013 to 2022, this paper constructs a measurement index system for the symbiotic level of digital innovation ecosystems from three dimensions: the symbiosis of digital innovation subjects, the digital innovation environment, and digital innovation interaction. This paper applies the entropy weight TOPSIS method, Dagum Gini coefficient decomposition, and spatial convergence analysis to empirically examine the symbiotic levels, regional disparities, and spatial convergence of China\u2019s digital innovation ecosystem. The results are as follows: (i) At the national level, the symbiotic level of China\u2019s digital innovation ecosystem has generally increased, creating a spatial distribution pattern that is \u201chigh in the east, flat in the middle, and low in the west\u201d. (ii) From a regional perspective, the major disparities between regions are the primary factors contributing to the overall difference in the symbiotic level of China\u2019s digital innovation ecosystem. (iii) From the perspective of \u03c3 convergence, regional disparities in the symbiotic level of the digital innovation ecosystem are constantly expanding, and uneven regional development is intensifying. (iv) From the perspective of absolute \u03b2 convergence, regions with lower levels of symbiosis in the digital innovation ecosystem have a faster growth rate of symbiosis than regions with higher levels of symbiosis, and there is a certain spatial spillover effect. (v) From the perspective of conditional \u03b2 convergence, economic structure and innovation application can accelerate the spatial convergence of China\u2019s digital innovation ecosystem symbiosis to a certain extent.<\/jats:p>","DOI":"10.3390\/systems13040254","type":"journal-article","created":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T06:52:56Z","timestamp":1743749576000},"page":"254","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Measurement, Regional Disparities, and Spatial Convergence in the Symbiotic Level of China\u2019s Digital Innovation Ecosystem"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8036-6277","authenticated-orcid":false,"given":"Shengnan","family":"Li","sequence":"first","affiliation":[{"name":"School of Economics and Management, Nanjing Tech University, Nanjing 211816, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8051-4938","authenticated-orcid":false,"given":"Zhouzhou","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Politics and Public Administration, Soochow University, Suzhou 215123, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9131-9995","authenticated-orcid":false,"given":"Yingwen","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Future Science and Engineering, Soochow University, Suzhou 215222, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9590-9066","authenticated-orcid":false,"given":"Yue","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Politics and Public Administration, Soochow University, Suzhou 215123, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,4]]},"reference":[{"key":"ref_1","first-page":"83","article-title":"Regional Innovation Ecosystem Suitability, Dual Network and Innovation Performance: A Moderated Mediator Model","volume":"35","author":"Wang","year":"2023","journal-title":"Manag. 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