{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T17:46:54Z","timestamp":1763142414972,"version":"build-2065373602"},"reference-count":58,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,2,8]],"date-time":"2025-02-08T00:00:00Z","timestamp":1738972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Educational Department of Liaoning Province","award":["JG24DB040","2024dlskzd093"],"award-info":[{"award-number":["JG24DB040","2024dlskzd093"]}]},{"name":"Dalian Federation of Social Sciences","award":["JG24DB040","2024dlskzd093"],"award-info":[{"award-number":["JG24DB040","2024dlskzd093"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Innovation ecosystem resilience (IER) is the maximum tolerance of an innovation ecosystem to accidents, crises, and other external shocks. Developing such resilience involves stages such as risk diversification, impact mitigation, recovery and reconstruction, and innovative development. This study first constructs an evaluation index system for IER with the dimensions of diversity, evolvability, fluidity, and buffering. Secondly, a coupling coordination degree model is used to evaluate and monitor IER, and the early warning levels are further subdivided with the help of an alertness degree model. Finally, through an obstacle degree model, the main obstacles to IER are determined. The research findings are as follows: First, the development trend of China\u2019s IER is relatively stable. Second, the regional heterogeneity of IER is obvious. Third, the IER in most regions of the country is at the early warning stage. Fourth, the number of enterprises with R&amp;D activities, the number of patents granted, the proportion of foreign funds contributing to internal R&amp;D expenditure, and hydropower generation are the greatest obstacles to diversity, evolvability, fluidity, and buffering, respectively. The main obstacles are slightly different in different regions. This research establishes a monitoring and early warning system for IER, which is conducive to discovering weak links in an innovation ecosystem in time and sounding the alarm. This will help government departments formulate scientific and reasonable graded response plans, reduce the risk of emergencies in society and national security, and ensure the resilience and stability of the innovation ecosystems.<\/jats:p>","DOI":"10.3390\/systems13020102","type":"journal-article","created":{"date-parts":[[2025,2,10]],"date-time":"2025-02-10T03:39:47Z","timestamp":1739158787000},"page":"102","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Research on Dynamic Monitoring and Early Warning for Innovation Ecosystem Resilience: Evidence from China"],"prefix":"10.3390","volume":"13","author":[{"given":"Xin","family":"Wang","sequence":"first","affiliation":[{"name":"College of Public Administration and Humanities, Dalian Maritime University, Dalian 116026, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ma, T., Liu, Y., and Jia, R.Y. (2023). Multiple driving paths of high-tech SME resilience from a \u201cResource\u2013Capability\u2013Environment\u201d perspective: An fsQCA approach. Sustainability, 15.","DOI":"10.3390\/su15108215"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3753","DOI":"10.1007\/s10845-023-02253-7","article-title":"A multi-agent based big data analytics system for viable supplier selection","volume":"35","author":"Zekhnini","year":"2024","journal-title":"J. Intell. Manuf."},{"key":"ref_3","unstructured":"WIPO (2025, January 01). Which Are the Most Innovative Economies in 2024? Global Innovation Index 2024. Available online: https:\/\/www.wipo.int\/en\/web\/global-innovation-index\/2024\/index."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1177\/0971721818806096","article-title":"The impact of local government policy on innovation ecosystem in knowledge resource scarce region: Case study of Changzhou, China","volume":"24","author":"Ma","year":"2019","journal-title":"Sci. Technol. Soc."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.techfore.2017.04.011","article-title":"A multi-level perspective on innovation ecosystems for path-breaking innovation","volume":"136","author":"Walrave","year":"2018","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"111277","DOI":"10.1016\/j.ecolind.2023.111277","article-title":"Spatial effects of innovation ecosystem development on low-carbon transition","volume":"157","author":"Cao","year":"2023","journal-title":"Ecol. Indic."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2207937","DOI":"10.1080\/23299460.2023.2207937","article-title":"Responsible innovation ecosystem governance: Socio-technical integration research for systems-level capacity building","volume":"10","author":"Smolka","year":"2023","journal-title":"J. Responsible Innov."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"21582440221093044","DOI":"10.1177\/21582440221093044","article-title":"An evolutionary analysis of relational governance in an innovation ecosystem","volume":"12","author":"Liu","year":"2022","journal-title":"Sage Open"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"123383","DOI":"10.1016\/j.techfore.2024.123383","article-title":"Factors for innovation ecosystem frameworks: Comprehensive organizational aspects for evolution","volume":"203","author":"Neto","year":"2024","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"102802","DOI":"10.1016\/j.techsoc.2024.102802","article-title":"How external factors influence organisational digital innovation: Evidence from China","volume":"81","author":"Xia","year":"2025","journal-title":"Technol. Soc."},{"key":"ref_11","first-page":"3419175","article-title":"Sustainable development of the innovation ecosystem from the perspective of T-O-V","volume":"2021","author":"Yan","year":"2021","journal-title":"J. Math."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Li, L.C., Zeng, Y.J., and Xia, D. (2024). How does the digital innovation ecosystem enable green regional development? A dynamic QCA study in China. Systems, 12.","DOI":"10.3390\/systems12120551"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Qiao, N., and Niu, L.X. (2024). The impact of the industrial innovation ecosystem on innovation performance\u2014Using the equipment manufacturing industry as an example. Systems, 12.","DOI":"10.3390\/systems12120578"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"He, X.W., Xia, M., Li, X.X., Lin, H., and Xie, Z.M. (2022). How innovation ecosystem synergy degree influences technology innovation performance\u2014Evidence from China\u2019s high-tech industry. Systems, 10.","DOI":"10.3390\/systems10040124"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.ress.2016.08.013","article-title":"A quantitative method for assessing resilience of interdependent infrastructures","volume":"157","author":"Nan","year":"2017","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_16","first-page":"101734","article-title":"Ecosystems, strategy, and resilience: Four empirical cases in the COVID-19 crisis","volume":"167","author":"Guimaraes","year":"2023","journal-title":"J. Eng. Technol. Manag."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Chen, H.M., and Cai, S.L. (2023). Research on evaluation and influencing factors of regional digital innovation ecosystem resilience\u2014Empirical research based on panel data of 30 provinces and cities in China. Sustainability, 15.","DOI":"10.3390\/su151310477"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zhou, S.Y., Xu, X.G., and Liu, F.M. (2024). Knowledge spillovers and integrated circuit innovation ecosystem resilience: Evidence from China. Systems, 12.","DOI":"10.3390\/systems12100441"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"109528","DOI":"10.1016\/j.engappai.2024.109528","article-title":"A novel multi-criteria decision making method to evaluate green innovation ecosystem resilience","volume":"139","author":"Su","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"114625","DOI":"10.1016\/j.rser.2024.114625","article-title":"Improving sustainable performance of China\u2019s new energy industry through collaborative innovation network resilience","volume":"201","author":"Liu","year":"2024","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"113860","DOI":"10.1016\/j.jbusres.2023.113860","article-title":"Indicators for innovation ecosystem health: A Delphi study","volume":"162","author":"Cobben","year":"2023","journal-title":"J. Bus. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"14401","DOI":"10.1109\/TEM.2024.3453971","article-title":"How to enhance regional innovation ecosystem resilience in China? A configuration analysis based on panel data","volume":"71","author":"Chen","year":"2024","journal-title":"IEEE Trans. Eng. Manag."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Zhang, M., Cheng, R., Fei, J., and Khanal, R. (2024). Enhancing digital innovation ecosystem resilience through the interplay of organizational, technological, and environmental factors: A Study of 31 provinces in China using NCA and fsQCA. Sustainability, 16.","DOI":"10.3390\/su16051946"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Guan, Y.Y., Li, L.F., and Liu, C. (2023). Resilience characteristics and driving mechanism of urban collaborative innovation network\u2014A case study of China\u2019s new energy vehicle industry. Systems, 11.","DOI":"10.3390\/systems11050214"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1111\/1467-8551.12553","article-title":"Innovation ecosystems: What makes them responsive during emergencies?","volume":"33","author":"Sahasranamam","year":"2022","journal-title":"Br. J. Manag."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"107460","DOI":"10.1016\/j.ijpe.2019.07.033","article-title":"Science, technology and innovation ecosystem transformation toward society 5.0","volume":"220","author":"Fukuda","year":"2020","journal-title":"Int. J. Prod. Econ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"6695","DOI":"10.1109\/TEM.2023.3239552","article-title":"From the dark side of Industry 4.0 to Society 5.0: Looking \u201cbeyond the box \u201c to developing human-centric innovation ecosystems","volume":"71","author":"Carayannis","year":"2023","journal-title":"IEEE Trans. Eng. Manag."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"105423","DOI":"10.1016\/j.cageo.2023.105423","article-title":"Risk-based tsunami early warning using random forest","volume":"179","author":"Li","year":"2023","journal-title":"Comput. Geosci."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Hiremath, H., and Kannan, S.R. (2024). Integrated anomaly detection and early warning system for forest fires in the Odisha region. Atmosphere, 15.","DOI":"10.3390\/atmos15111284"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"503","DOI":"10.2147\/RMHP.S400251","article-title":"The early warning mechanism of public health emergencies through whistleblowing: A perspective based on considering the uncertainty of risk perception","volume":"16","author":"Ma","year":"2023","journal-title":"Risk Manag. Healthc. Policy"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2543","DOI":"10.1108\/ITP-12-2021-0991","article-title":"Severity assessment and the early warning mechanism of public events based on the comparison of microblogging characteristics","volume":"36","author":"Chen","year":"2023","journal-title":"Inf. Technol. People"},{"key":"ref_32","first-page":"2780122","article-title":"BP neural network algorithm based on big data for monitoring and early warning of China\u2019s public finance","volume":"2022","author":"Zhao","year":"2022","journal-title":"Math. Probl. Eng."},{"key":"ref_33","first-page":"7552601","article-title":"Smart city public safety intelligent early warning and detection","volume":"2022","author":"Sha","year":"2022","journal-title":"Sci. Program."},{"key":"ref_34","unstructured":"Liu, B.L., Liu, X.F., Wang, L., and Zhang, X.Q. (2024). Research on resilience monitoring and early warning based on the world\u2019s important talent centers and innovation highlands in five major urban agglomerations. Forum Sci. Technol. China, 124\u2013136. (In Chinese)."},{"key":"ref_35","first-page":"139","article-title":"Resilience monitoring and prediction of China\u2019s construction of a world-class talent center and an innovation highland: Three cases of strategic pivot cities of Beijing, Shanghai and Guangzhou","volume":"41","author":"Liu","year":"2024","journal-title":"Sci. Technol. Prog. Policy"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"122328","DOI":"10.1016\/j.techfore.2023.122328","article-title":"How does government support promote digital economy development in China? The mediating role of regional innovation ecosystem resilience","volume":"188","author":"Liang","year":"2023","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref_37","unstructured":"Liang, L., Duan, S.Y., and Li, Y. (2022). Can China\u2019s north-south gap be improve-Monitoring and comparison of the resilience of innovation network based on three major urban agglomerations. Forum Sci. Technol. China, 106\u2013117. (In Chinese)."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Kong, Q.S., Kong, H.Y., Miao, S.L., Zhang, Q., and Shi, J.G. (2022). Spatial coupling coordination evaluation between population growth, land use and housing supply of urban agglomeration in China. Land, 11.","DOI":"10.3390\/land11091396"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Xiao, R.M., Qiao, Y.X., Dong, X.B., Ren, H.Z., Wang, X.C., Zhang, P., Ye, Q.R., and Xiao, X.M. (2024). Ecosystem health assessment of the Manas River Basin: Application of the CC-PSR model improved by coupling coordination degree. Land, 13.","DOI":"10.2139\/ssrn.4827153"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Zhan, S.Y., and Zhang, X.F. (2024). Coupled climate\u2013environment\u2013society\u2013ecosystem resilience coordination analytical study\u2014A case study of Zhejiang province. Sustainability, 16.","DOI":"10.3390\/su16135746"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"109851","DOI":"10.1016\/j.ecolind.2022.109851","article-title":"Analysis of the coupling coordination degree of the society-economy-resource-environment system in urban areas: Case study of the Jingjinji urban agglomeration, China","volume":"146","author":"Zhang","year":"2023","journal-title":"Ecol. Indic."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"7272","DOI":"10.2166\/ws.2022.295","article-title":"Coupling coordination analysis of water-energy-food-ecology in the Yangtze River Delta","volume":"22","author":"Ding","year":"2022","journal-title":"Water Supply"},{"key":"ref_43","first-page":"152","article-title":"Research on early warning model of regional talent agglomeration: Taking Jiangsu province as an example","volume":"31","author":"Cha","year":"2014","journal-title":"Sci. Technol. Prog. Policy"},{"key":"ref_44","first-page":"92","article-title":"Research on monitoring and early warning of the resilience of the innovation ecosystem in the China\u2019s national new districts","volume":"7","author":"Liang","year":"2020","journal-title":"China Soft Sci."},{"key":"ref_45","first-page":"63","article-title":"Research on the spatiotemporal evolution characteristics and dynamic early warning of the resilience of regional innovation ecosystems","volume":"39","author":"Xie","year":"2023","journal-title":"Stat. Decis."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Fang, Z.Q., and Xie, Z.Q. (2023). Coordinated development of marine economy and ecological environment in coastal areas of China: Development level, coupling coordination measurement, and obstacle analysis. Sustainability, 15.","DOI":"10.3390\/su15119122"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Xiong, C.L., Zhang, Y.L., and Wang, W.J. (2024). An evaluation scheme driven by science and technological innovation\u2014A study on the coupling and coordination of the agricultural science and technology innovation-economy-ecology complex system in the Yangtze River Basin of China. Agriculture, 14.","DOI":"10.3390\/agriculture14101844"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"He, Y., and Liu, G.L. (2022). Coupling coordination analysis of low-carbon development, technology innovation, and new urbanization: Data from 30 provinces and cities in China. Front. Public Health, 10.","DOI":"10.3389\/fpubh.2022.1047691"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Yu, R.X., Chen, Y.Q., Jin, Y.H., and Zhang, S. (2025). Evaluating the impact of digital transformation on urban innovation resilience. Systems, 13.","DOI":"10.3390\/systems13010008"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Ma, H.T., Xu, X.F., Li, X.Z., and Liu, J.Y. (2022). Towards innovation resilience through urban networks of co-invention: A case study of cities in China. Front. Earth Sci., 10.","DOI":"10.3389\/feart.2022.974219"},{"key":"ref_51","unstructured":"Liu, H.D., and Lu, C.X. (2023). The impact of innovation ecosystem resilience on high-quality economic development. Forum Sci. Technol. China, 48\u201357. (In Chinese)."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Wang, Q., Guan, H.S., and Zou, W.Y. (2024). Digital economy development and regional innovation resilience: Mechanism and empirical analysis. Appl. Econ., 1\u201316.","DOI":"10.1080\/00036846.2024.2379512"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Li, E.J., and An, Z.W. (2024). Does transportation infrastructure construction enhance enterprise innovation resilience in China?. Sustainability, 16.","DOI":"10.3390\/su16072931"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"11454","DOI":"10.1109\/TEM.2024.3422106","article-title":"Knowledge network embeddedness and innovation resilience","volume":"71","author":"Luo","year":"2024","journal-title":"IEEE Trans. Eng. Manag."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"106587","DOI":"10.1016\/j.resconrec.2022.106587","article-title":"Is there any room for renewable energy innovation in developing and transition economies? Data envelopment analysis of energy behaviour and resilience data","volume":"186","author":"Aldieri","year":"2022","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Yu, X.H., Qi, Y., Yu, L.Z., and He, Y.Y. (2022). Temporal and spatial evolution of coupling coordination degree of industrial innovation ecosystem\u2014From the perspective of green transformation. Sustainability, 14.","DOI":"10.3390\/su14074111"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"107008","DOI":"10.1016\/j.eiar.2022.107008","article-title":"Coupling coordination degree analysis and driving factors of innovation network and eco-efficiency in China","volume":"99","author":"Cheng","year":"2023","journal-title":"Environ. Impact Assess. Rev."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Xiang, Y., Chen, Y.H., Wan, A.L., Su, Y.Y., and Xiong, R.K. (2024). Research on coupling coordination between construction industry innovation and region economic development in China. PLoS ONE, 19.","DOI":"10.1371\/journal.pone.0308127"}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/2\/102\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:29:18Z","timestamp":1760027358000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/2\/102"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,8]]},"references-count":58,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,2]]}},"alternative-id":["systems13020102"],"URL":"https:\/\/doi.org\/10.3390\/systems13020102","relation":{},"ISSN":["2079-8954"],"issn-type":[{"type":"electronic","value":"2079-8954"}],"subject":[],"published":{"date-parts":[[2025,2,8]]}}}