{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T15:55:16Z","timestamp":1784303716303,"version":"3.55.0"},"reference-count":63,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T00:00:00Z","timestamp":1752710400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Social Science Foundation of China","award":["24VRC085"],"award-info":[{"award-number":["24VRC085"]}]},{"name":"National Social Science Foundation of China","award":["20&ZD155"],"award-info":[{"award-number":["20&ZD155"]}]},{"name":"Major Projects of the National Social Science Foundation of China","award":["24VRC085"],"award-info":[{"award-number":["24VRC085"]}]},{"name":"Major Projects of the National Social Science Foundation of China","award":["20&ZD155"],"award-info":[{"award-number":["20&ZD155"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Global low-carbon innovation networks face increasing vulnerabilities amid growing geopolitical tensions and technological competition. The interdependent structure of low-carbon innovation networks and the risk propagation dynamics within them remain poorly understood. This study investigates vulnerability patterns by constructing a two-layer interdependent network model based on Chinese low-carbon patent data, comprising a low-carbon collaboration network of innovation entities and a low-carbon knowledge network of technological components. Applying dynamic shock propagation modeling, we analyze how risks spread within and between network layers under various shocks. Our findings reveal significant differences in vulnerability distribution: the knowledge network consistently demonstrates greater susceptibility to cascading failures than the collaboration network, reaching complete system failure, while the latter maintains partial resilience, with resilience levels stabilizing at approximately 0.64. Critical node analysis identifies State Grid Corporation as a vulnerability point in the collaboration network, while multiple critical knowledge elements can independently trigger system-wide failures. Cross-network propagation follows distinct patterns, with knowledge-network failures consistently preceding collaboration network disruptions. In addition, propagation from the collaboration network to the knowledge network showed sharp transitions at specific threshold values, while propagation in the reverse direction displayed more gradual responses. These insights suggest tailored resilience strategies, including policy decentralization approaches, ensuring technological redundancy across critical knowledge domains and strengthening cross-network coordination mechanisms to enhance low-carbon innovation system stability.<\/jats:p>","DOI":"10.3390\/systems13070599","type":"journal-article","created":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T11:25:17Z","timestamp":1752751517000},"page":"599","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Identifying Critical Risks in Low-Carbon Innovation Network Ecosystem: Interdependent Structure and Propagation Dynamics"],"prefix":"10.3390","volume":"13","author":[{"given":"Ruguo","family":"Fan","sequence":"first","affiliation":[{"name":"School of Economics and Management, Wuhan University, Wuhan 430072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Wuhan University, Wuhan 430072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yitong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Wuhan University, Wuhan 430072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1486-1322","authenticated-orcid":false,"given":"Rongkai","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Applied Economics, Renmin University of China, Beijing 100872, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3581","DOI":"10.1038\/s41467-023-38620-4","article-title":"A Research and Development Investment Strategy to Achieve the Paris Climate Agreement","volume":"14","author":"Vrontisi","year":"2023","journal-title":"Nat. Commun."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1038\/s41558-020-00971-x","article-title":"Systematic Review of the Outcomes and Trade-Offs of Ten Types of Decarbonization Policy Instruments","volume":"11","author":"Verdolini","year":"2021","journal-title":"Nat. Clim. Change"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1038\/s41586-022-05316-6","article-title":"Quantifying the Cost Savings of Global Solar Photovoltaic Supply Chains","volume":"612","author":"Helveston","year":"2022","journal-title":"Nature"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"8386","DOI":"10.1287\/mnsc.2022.02057","article-title":"Mapping U.S.\u2013China Technology Decoupling: Policies, Innovation, and Firm Performance","volume":"70","author":"Han","year":"2024","journal-title":"Manag. Sci."},{"key":"ref_5","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_6","doi-asserted-by":"crossref","first-page":"103935","DOI":"10.1016\/j.iref.2025.103935","article-title":"US Sanctions and Corporate Innovation: Evidence from Chinese Listed Firms","volume":"98","author":"Lin","year":"2025","journal-title":"Int. Rev. Econ. Financ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"110860","DOI":"10.1016\/j.cie.2025.110860","article-title":"Quantitative Analysis of the U.S. Chip Embargo and China\u2019s Export Controls on GaGe and Graphite","volume":"200","author":"Cui","year":"2025","journal-title":"Comput. Ind. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"119253","DOI":"10.1016\/j.enconman.2024.119253","article-title":"Improving Sustainable Development Performance of New Energy Industry through Green Innovation Network Evolution Empowered by Digitalization: Based on Temporal Exponential Random Graph Model","volume":"324","author":"Liu","year":"2025","journal-title":"Energy Convers. Manag."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Fan, R., and Chen, R. (2022). Promotion Policies for Electric Vehicle Diffusion in China Considering Dynamic Consumer Preferences: A Network-Based Evolutionary Analysis. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph19095290"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.chaos.2015.03.016","article-title":"Networks of Networks\u2014An Introduction","volume":"80","author":"Kenett","year":"2015","journal-title":"Chaos Solitons Fractals"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"768","DOI":"10.1016\/j.respol.2017.02.002","article-title":"The Firm\u2019s Knowledge Network and the Transfer of Advice among Corporate Inventors\u2014A Multilevel Network Study","volume":"46","author":"Brennecke","year":"2017","journal-title":"Res. Policy"},{"key":"ref_12","unstructured":"Berkes, F., Colding, J., and Folke, C. (2008). Navigating Social-Ecological Systems: Building Resilience for Complexity and Change, Cambridge University Press."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1038\/nature16948","article-title":"Universal Resilience Patterns in Complex Networks","volume":"530","author":"Gao","year":"2016","journal-title":"Nature"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1025","DOI":"10.1038\/nature08932","article-title":"Catastrophic Cascade of Failures in Interdependent Networks","volume":"464","author":"Buldyrev","year":"2010","journal-title":"Nature"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2143","DOI":"10.1038\/s41467-024-46418-1","article-title":"Electric Vehicle Battery Chemistry Affects Supply Chain Disruption Vulnerabilities","volume":"15","author":"Cheng","year":"2024","journal-title":"Nat. Commun."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1038\/s43016-023-00771-4","article-title":"Shock Propagation from the Russia\u2013Ukraine Conflict on International Multilayer Food Production Network Determines Global Food Availability","volume":"4","author":"Laber","year":"2023","journal-title":"Nat. Food"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"7960","DOI":"10.1021\/acs.est.5c01545","article-title":"Mapping the Water-Economic Cascading Risks within a Multilayer Network of Supply Chains in China","volume":"59","author":"Li","year":"2025","journal-title":"Environ. Sci. Technol."},{"key":"ref_18","first-page":"100653","article-title":"Modeling the Dynamic Impacts of Maritime Network Blockage on Global Supply Chains","volume":"5","author":"Qu","year":"2024","journal-title":"Innovation"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"125747","DOI":"10.1016\/j.energy.2022.125747","article-title":"Effects of Multiple Incentives on Electric Vehicle Charging Infrastructure Deployment in China: An Evolutionary Analysis in Complex Network","volume":"264","author":"Chen","year":"2022","journal-title":"Energy"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"101505","DOI":"10.1016\/j.esr.2024.101505","article-title":"Characteristics and Influencing Factors of the Industry-University-Research Collaborative Innovation Network in China\u2019s New Energy Vehicle Industry","volume":"55","author":"Wang","year":"2024","journal-title":"Energy Strategy Rev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"101309","DOI":"10.1016\/j.esr.2024.101309","article-title":"Research on the Evolution of China\u2019s Photovoltaic Technology Innovation Network from the Perspective of Patents","volume":"51","author":"Hu","year":"2024","journal-title":"Energy Strategy Rev."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"124010","DOI":"10.1016\/j.apenergy.2024.124010","article-title":"A Network Analysis of Global Competition in Photovoltaic Technologies: Evidence from Patent Data","volume":"375","author":"Ding","year":"2024","journal-title":"Appl. Energy"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2460","DOI":"10.1080\/01605682.2020.1796535","article-title":"Using Combined Network-Based Approaches to Analyze Risk Interactions in R&D Alliance","volume":"72","author":"Liu","year":"2021","journal-title":"J. Oper. Res. Soc."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"123231","DOI":"10.1016\/j.apenergy.2024.123231","article-title":"Energy Technical Resilience Assessment Based on Complex Network Analysis\u2014A Case Study of China","volume":"364","author":"Su","year":"2024","journal-title":"Appl. Energy"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Huang, Y., Yang, N., Fawad Sharif, S.M., Dong, C., Wang, Y., and Yang, H. (2025). Why Established Collaborative Networks Fail to Drive Organizational Innovation Efficiency\u2014From an Internal Knowledge Network Perspective. Eur. J. Innov. Manag.","DOI":"10.1108\/EJIM-08-2024-0937"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2443","DOI":"10.1016\/j.physleta.2019.05.012","article-title":"Modeling and Simulations of the Cascading Failure of Multiple Interdependent R&D Networks under Risk Propagation","volume":"383","author":"Liu","year":"2019","journal-title":"Phys. Lett. A"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"119746","DOI":"10.1016\/j.techfore.2019.119746","article-title":"Knowledge Growth in University-Industry Innovation Networks\u2014Results from a Simulation Study","volume":"151","author":"Mao","year":"2020","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.physa.2016.04.005","article-title":"Network Effect of Knowledge Spillover: Scale-Free Networks Stimulate R&D Activities and Accelerate Economic Growth","volume":"458","author":"Konno","year":"2016","journal-title":"Phys. Stat. Mech. Its Appl."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Qian, Q., and Ren, J. (2024). Executive Myopia, Industry Partners, and Financial Performance: A Simulation Study Using Complex Network and Propagation Model. Environ. Dev. Sustain., 1\u201332.","DOI":"10.1007\/s10668-024-05521-5"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"109266","DOI":"10.1016\/j.ijpe.2024.109266","article-title":"Exploring R&D Network Resilience under Risk Propagation: An Organizational Learning Perspective","volume":"273","author":"Liu","year":"2024","journal-title":"Int. J. Prod. Econ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.physa.2019.01.127","article-title":"Modeling and Simulation of the Cascading Failure of R&D Network Considering the Community Structure","volume":"522","author":"Wang","year":"2019","journal-title":"Phys. Stat. Mech. Its Appl."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s44196-025-00795-7","article-title":"Research on Cascade Propagation of Collaborative Innovation Risks in Industrial Clusters Considering Entities Heterogeneity","volume":"18","author":"Shi","year":"2025","journal-title":"Int. J. Comput. Intell. Syst."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"22135","DOI":"10.1021\/acs.est.4c10523","article-title":"Systematic Risks of the Global Lithium Supply Chain Network: From Static Topological Structures to Cascading Failure Dynamics","volume":"58","author":"Ouyang","year":"2024","journal-title":"Environ. Sci. Technol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"107137","DOI":"10.1016\/j.psep.2025.107137","article-title":"Critical Risks in an Industry Chain-Based Global Lithium Supply Networks: Static Structure and Dynamic Propagation","volume":"198","author":"Wang","year":"2025","journal-title":"Process Saf. Environ. Prot."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1108\/INMR-12-2020-0176","article-title":"Knowledge Transfer in Technological Innovation Clusters","volume":"20","author":"Fioravanti","year":"2023","journal-title":"Innov. Manag. Rev."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Jialu, S., Zhiqiang, M., Binxin, Z., Haoyang, X., Fredrick Oteng, A., and Hu, W. (2021). Collaborative Innovation Network, Knowledge Base, and Technological Innovation Performance-Thinking in Response to COVID-19. Front. Psychol., 12.","DOI":"10.3389\/fpsyg.2021.648276"},{"key":"ref_37","unstructured":"Cervantes, M., Criscuolo, C., Dechezlepr\u00eatre, A., and Pilat, D. (2023). Driving Low-Carbon Innovations for Climate Neutrality. OECD Science Technology and Industry Policy Papers, OECD. Available online: https:\/\/www.oecd.org\/content\/dam\/oecd\/en\/publications\/reports\/2023\/03\/driving-low-carbon-innovations-for-climate-neutrality_4260ec80\/8e6ae16b-en.pdf."},{"key":"ref_38","unstructured":"China National Intellectual Property Administration (2024). Report on Statistical Analysis of Green and Low-Carbon Patents, CNIPA."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"131561","DOI":"10.1016\/j.jclepro.2022.131561","article-title":"Simulating the Impact of Demand-Side Policies on Low-Carbon Technology Diffusion: A Demand-Supply Coevolutionary Model","volume":"351","author":"Fan","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_40","unstructured":"Le\u00f3n, L.R., Bergquist, K., Wunsch-Vincent, S.A., Xu, N., and Fushim, K. (2023). Measuring Innovation in Energy Technologies: Green Patents as Captured by WIPO\u2019s IPC Green Inventory, SSRN."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1016\/j.strueco.2025.02.007","article-title":"The Impact of Supply Chain Digitization on the Carbon Emissions of Listed Companies\u2014A Quasi-Natural Experiment in China","volume":"73","author":"Meng","year":"2025","journal-title":"Struct. Change Econ. Dyn."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"107942","DOI":"10.1016\/j.eneco.2024.107942","article-title":"From Bytes to Green: The Impact of Supply Chain Digitization on Corporate Green Innovation","volume":"139","author":"Ma","year":"2024","journal-title":"Energy Econ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"104990","DOI":"10.1016\/j.respol.2024.104990","article-title":"The Emergence and Historical Evolution of Innovation Networks: On the Factors Promoting and Hampering Patent Collaboration in Technological Lagging Economies","volume":"53","author":"Barbosa","year":"2024","journal-title":"Res. Policy"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"484","DOI":"10.5465\/amj.2011.0917","article-title":"Knowledge Networks, Collaboration Networks, and Exploratory Innovation","volume":"57","author":"Wang","year":"2014","journal-title":"Acad. Manag. J."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"101198","DOI":"10.1016\/j.joi.2021.101198","article-title":"Exploring the Effect of City-Level Collaboration and Knowledge Networks on Innovation: Evidence from Energy Conservation Field","volume":"15","author":"Ba","year":"2021","journal-title":"J. Informetr."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1093\/qje\/qjaa044","article-title":"Supply Chain Disruptions: Evidence from the Great East Japan Earthquake","volume":"136","author":"Carvalho","year":"2021","journal-title":"Q. J. Econ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1257\/aer.20130456","article-title":"Systemic Risk and Stability in Financial Networks","volume":"105","author":"Acemoglu","year":"2015","journal-title":"Am. Econ. Rev."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2022.04.002","article-title":"Network Resilience","volume":"971","author":"Liu","year":"2022","journal-title":"Phys. Rep."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.strueco.2022.05.008","article-title":"Robustness of Knowledge Networks under Targeted Attacks: Electric Vehicle Field of China Evidence","volume":"63","author":"Zhao","year":"2022","journal-title":"Struct. Change Econ. Dyn."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1108\/JKM-10-2019-0531","article-title":"Impacts of Malicious Attacks on Robustness of Knowledge Networks: A Multi-Agent-Based Simulation","volume":"24","author":"Zhao","year":"2020","journal-title":"J. Knowl. Manag."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.physa.2006.06.018","article-title":"Cascade Dynamics of Complex Propagation","volume":"374","author":"Centola","year":"2007","journal-title":"Phys. Stat. Mech. Its Appl."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"121651","DOI":"10.1016\/j.techfore.2022.121651","article-title":"Influence of an Interurban Innovation Network on the Innovation Capacity of China: A Multiplex Network Perspective","volume":"180","author":"Feng","year":"2022","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"2432","DOI":"10.1002\/bse.2512","article-title":"Exploring an Innovative Pivot: How Green Training Can Spur Corporate Sustainability Performance","volume":"29","author":"Xie","year":"2020","journal-title":"Bus. Strategy Environ."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"North, D.C. (1990). Institutions, Institutional Change and Economic Performance, Cambridge University Press.","DOI":"10.1017\/CBO9780511808678"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1086\/226550","article-title":"Institutionalized Organizations: Formal Structure as Myth and Ceremony","volume":"83","author":"Meyer","year":"1977","journal-title":"Am. J. Sociol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"5766","DOI":"10.1073\/pnas.082090499","article-title":"A Simple Model of Global Cascades on Random Networks","volume":"99","author":"Watts","year":"2002","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1016\/j.respol.2010.04.003","article-title":"Innovative Path Dependence: Making Sense of Product and Service Innovation in Path Dependent Innovation Processes","volume":"39","author":"Thrane","year":"2010","journal-title":"Res. Policy"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"134264","DOI":"10.1016\/j.jclepro.2022.134264","article-title":"Patent Analysis for Generating the Technology Landscape and Competition Situation of Renewable Energy","volume":"378","author":"Jiang","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1049\/enc2.12007","article-title":"The State Grid Corporation of China\u2019s Practice and Outlook for Promoting New Energy Development","volume":"1","author":"Pan","year":"2020","journal-title":"Energy Convers. Econ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"104472","DOI":"10.1016\/j.respol.2021.104472","article-title":"Becoming an Intellectual Monopoly by Relying on the National Innovation System: The State Grid Corporation of China\u2019s Experience","volume":"51","author":"Rikap","year":"2022","journal-title":"Res. Policy"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"105396","DOI":"10.1016\/j.scs.2024.105396","article-title":"Connection Patterns and Resilience Simulation of Innovation Network in the Context of Technology Transfer: A Case Study of Strategic Emerging Industries in the Guangdong-Hong Kong-Macao Greater Bay Area","volume":"106","author":"Ma","year":"2024","journal-title":"Sustain. Cities Soc."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2014.07.001","article-title":"The Structure and Dynamics of Multilayer Networks","volume":"544","author":"Boccaletti","year":"2014","journal-title":"Phys. Rep."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1038\/s44284-025-00209-x","article-title":"Scaling and Network Evolution of Technology Transfer in US Cities","volume":"2","author":"Li","year":"2025","journal-title":"Nat. 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