{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T00:25:17Z","timestamp":1759883117483,"version":"build-2065373602"},"reference-count":52,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T00:00:00Z","timestamp":1735776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42371293","42201317"],"award-info":[{"award-number":["42371293","42201317"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Strategic emerging industries (SEIs) have the potential to be a nation\u2019s leading industries in the post-industrialization era. Exploring the spatial distribution of SEIs and the impetuses of their location choice plays a key role in formulating policies conducive to regional industrial and economic development. However, most studies on relevant topics neglected the impact of institutional environment and local innovation on the formation of spatial patterns of SEIs. By investigating 12,979 industrial enterprises in China, this research applied spatial autocorrelation and spatial regression analysis to explore the spatial characteristics of SEIs and identify the variables affecting the location selection of SEIs that result in these spatial patterns. The findings indicated significant spatial differences in the spatial distributions and agglomeration patterns of SEIs. Institutional environment, local innovation, and regional economy have significant impacts on the location choice of SEIs. The interactive effects of local innovation and institutional environment on the spatial agglomeration of SEIs revealed that a higher degree of decentralization and stronger local innovation capability would promote a stronger agglomeration of SEIs. Regions with strong (weak) marketization and weak (strong) institutions of higher education would promote SEIs agglomeration. Based on the findings, policy options were suggested to facilitate SEIs planning and differentiated pathways of industrial transformation.<\/jats:p>","DOI":"10.3390\/systems13010027","type":"journal-article","created":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T07:44:53Z","timestamp":1735803893000},"page":"27","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Exploring the Spatial Agglomeration Characteristics and Determinants of Strategic Emerging Industries: Evidence from 12,979 Industrial Enterprises in China"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0316-7220","authenticated-orcid":false,"given":"Xiaofeng","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Public Administration, Hohai University, No. 8 West Focheng Road, Nanjing 211100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanyan","family":"Wang","sequence":"additional","affiliation":[{"name":"Shandong Provincial Territorial Spatial Ecological Restoration Center, No. 42 East Culture Road, Jinan 250014, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7240-4037","authenticated-orcid":false,"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"School of Public Administration, Nanjing University of Finance and Economics, No. 3 Wenyuan Road, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0828-6245","authenticated-orcid":false,"given":"Sheng-Hau","family":"Lin","sequence":"additional","affiliation":[{"name":"Macro Company, No. 495, Section 4, Yifeng Road., Nantun District., Taichung City 408023, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haixia","family":"Shi","sequence":"additional","affiliation":[{"name":"Institute of Land Surveying and Planning of Jiangsu, Nanjing 210017, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,2]]},"reference":[{"key":"ref_1","first-page":"436","article-title":"Build regional strategic emerging industry selection system for major scientific and technological infrastructure: Structural framework and practical consideration","volume":"39","author":"Zhang","year":"2024","journal-title":"Bull. Chin. Acad. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Wang, Y.X. (2018, January 15\u201316). An Empirical Analysis of the Outward Development of Strategic Emerging Industries. Proceedings of the 2018 International Symposium on Social Science and Management Innovation (SSMI 2018), Xi\u2019an, China.","DOI":"10.2991\/ssmi-18.2019.110"},{"key":"ref_3","first-page":"355","article-title":"Strategic Emerging Industry Policy on Enterprise Innovation Performance: The Intermediary Role Based on Cost of Debt Financing and Regulatory Role of Business Environment","volume":"32","author":"Xiao","year":"2023","journal-title":"J. Syst. Manag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"134641","DOI":"10.1016\/j.jclepro.2022.134641","article-title":"Spatial distribution patterns and influencing factors of China\u2019s new energy vehicle industry","volume":"379","author":"Gao","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"7069191","DOI":"10.1155\/2020\/7069191","article-title":"Research on the Technological Innovation Efficiency of China\u2019s Strategic Emerging Industries Based on SBM: NDEA Model and Big Data","volume":"2020","author":"Zhong","year":"2020","journal-title":"Math. Probl. Eng."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Han, P., and Zhou, Z.Y. (2023). The Harmonious Relationship between Energy Utilization Efficiency and Industrial Structure Development under Carbon Emission Constraints: Measurement, Quantification, and Identification. Sustainability, 15.","DOI":"10.3390\/su151411426"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3901","DOI":"10.15244\/pjoes\/116443","article-title":"Spatial Spillover Effect of Strategic Emerging Industry Agglomeration and Green Economic Efficiency in China","volume":"29","author":"Zeng","year":"2020","journal-title":"Pol. J. Environ. Stud."},{"key":"ref_8","first-page":"94","article-title":"Spatial Evolution Characteristics and Motivation of Technology Intensive Industry in the Metropolis\u2014A Case Analysis of Electronic Equipment Manufacturing Industry in Beijing","volume":"38","author":"Sun","year":"2018","journal-title":"Econ. Geogr."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1586","DOI":"10.1016\/j.respol.2016.03.022","article-title":"Dynamics of China\u2019s Provincial-level Specialization in Strategic Emerging Industries","volume":"45","year":"2016","journal-title":"Res. Policy"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1108\/IJOEM-02-2020-0188","article-title":"Research on Financing Efficiency of China\u2019s Strategic Emerging Industries Based on Super Efficiency DEA and Tobit Model","volume":"17","author":"Chen","year":"2022","journal-title":"Int. J. Emerg. Mark."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"101770","DOI":"10.1016\/j.techsoc.2021.101770","article-title":"Evaluation of China\u2019s new energy vehicle policy texts with quantitative and qualitative analysis","volume":"67","author":"Wang","year":"2021","journal-title":"Technol. Soc."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/s10708-018-9961-5","article-title":"Spatial Pattern Analysis of Manufacturing Industries in Keraniganj, Dhaka, Bangladesh","volume":"85","author":"Hassan","year":"2020","journal-title":"GeoJournal"},{"key":"ref_13","first-page":"11","article-title":"Selecting Strategic Industries: International Practice","volume":"5","author":"Popescu","year":"2015","journal-title":"J. Account. Manag."},{"key":"ref_14","unstructured":"Bateman, J. (2022). U.S.-China Technological \u201cDecoupling\u201d: A Strategy and Policy Framework, Carnegie Endowment for International Peace."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1358","DOI":"10.1080\/13683500.2020.1792852","article-title":"Agglomeration and\/or Differentiation at Regional Scale? Geographic Spatial Thinking of Hotel Distribution\u2014A Case Study of Guangdong, China","volume":"24","author":"Fang","year":"2021","journal-title":"Curr. Issues Tour."},{"key":"ref_16","first-page":"101","article-title":"Evolution and Optimization of Spatial Layout of Strategic Emerging Industry in China","volume":"38","author":"Tang","year":"2018","journal-title":"Econ. Geogr."},{"key":"ref_17","first-page":"151","article-title":"Spatial Agglomeration of High-End Talent and Innovation Development in Late-Stage Countries: Evidence from Individual Patent Data in China","volume":"59","author":"Yu","year":"2024","journal-title":"Econ. Res. J."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"195","DOI":"10.18306\/dlkxjz.2020.02.002","article-title":"Dynamics of Manufacturing Industry and Change of its Spatial Pattern in the Pearl River Delta Urban Agglomeration","volume":"39","author":"Liu","year":"2020","journal-title":"Prog. Geogr."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.ruje.2017.06.004","article-title":"Industrial Clusters in Russia: The Development of Special Economic Zones and Industrial Parks","volume":"3","author":"Sosnovskikh","year":"2017","journal-title":"Russ. J. Econ."},{"key":"ref_20","unstructured":"Marshall, A. (1920). Principles of Economics, Macmillan & Co., Ltd."},{"key":"ref_21","unstructured":"Jacobs, J. (1969). The Economy of Cities, Random House."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1990","DOI":"10.1016\/j.respol.2018.07.006","article-title":"Technology Intensity and Agglomeration Economies","volume":"47","author":"Liang","year":"2018","journal-title":"Res. Policy"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1111\/joes.12267","article-title":"Bibliometric Analysis of the Quantitative Methods Applied to the Measurement of Industrial Clusters","volume":"33","author":"Chain","year":"2019","journal-title":"J. Econ. Surv."},{"key":"ref_24","first-page":"38","article-title":"Spatial Analysis of Regional Industrial Clusters in the German Forest Sector","volume":"11","author":"Kies","year":"2009","journal-title":"Int. For. Rev."},{"key":"ref_25","first-page":"5691","article-title":"Spatial Pattern Change of Manufacturing Industry in Shandong Province Based on Spatial Durbin Model","volume":"37","author":"Liu","year":"2017","journal-title":"Sci. Geol. Sin."},{"key":"ref_26","first-page":"44","article-title":"Empowering the Green Transformation of the Yangtze River Economic Belt through Strategic Emerging Industries: Theoretical Analysis and Mechanism Test","volume":"3","author":"Ye","year":"2024","journal-title":"Reform Econ. Syst."},{"key":"ref_27","first-page":"1236","article-title":"Spatial Distribution Pattern and Influencing Factors of Manufacturing Enterprises in Yangtze River Delta: Scale effects and dynamic evolution","volume":"38","author":"Xu","year":"2019","journal-title":"Geogr. Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.strueco.2018.04.001","article-title":"Structural Change, Trade and Global Production Networks: An \u2018Appropriate Industrial Policy\u2019 for Peripheral and Catching-up Economies. Struct","volume":"48","author":"Landesmann","year":"2019","journal-title":"Chang. Econ. Dyn."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"117805","DOI":"10.1016\/j.jclepro.2019.117805","article-title":"A review of emerging industry 4.0 technologies in remanufacturing","volume":"237","author":"Kerin","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_30","first-page":"99","article-title":"Research on Spatial Agglomeration and Influencing Factors of Strategic Emerging Industries: Based on the Empirical Analysis of the Yangtze River Economic Belt","volume":"5","author":"Wang","year":"2020","journal-title":"Reform Econ. Syst."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"119169","DOI":"10.1016\/j.eswa.2022.119169","article-title":"An entropy-based TOPSIS and optimized grey prediction model for spatiotemporal analysis in strategic emerging industry","volume":"213","author":"Ding","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1068\/C12162r","article-title":"Government policy change and evolution of regional innovation systems in China: Evidence from strategic emerging industries in Shenzhen","volume":"33","author":"Yang","year":"2015","journal-title":"Environ. Plan. C Gov. Policy"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1111\/grow.12430","article-title":"The heterogeneity of agglomeration effect: Evidence from Chinese cities","volume":"52","author":"Wang","year":"2021","journal-title":"Growth Chang."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"100777","DOI":"10.1016\/j.ecosys.2020.100777","article-title":"Foreign Direct Investment and Industrial Agglomeration: Evidence from India","volume":"44","author":"Ramachandran","year":"2020","journal-title":"Econ. Syst."},{"key":"ref_35","first-page":"1077","article-title":"Nexus among electricity consumption, foreign direct investment and aggregate economic activity towards Nigeria\u2019s economic performance: Evidence from a trivariate causality model","volume":"47","author":"Vlasova","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_36","first-page":"118","article-title":"Industrial Linkage, Institutional Environment and Regional Industrial Evolution","volume":"32","author":"Yan","year":"2017","journal-title":"J. Beijing Technol. Bus. Univ. Soc. Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1016\/B978-0-444-53540-5.00001-X","article-title":"What Do We Learn from Schumpeterian Growth Theory?","volume":"2","author":"Aghion","year":"2014","journal-title":"Handb. Econ. Growth"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"111","DOI":"10.56159\/chn.2024.a920960","article-title":"Micro-pathways to Technology Spillover in Industrial Agglomerations: Evidence from Manufacturing Enterprises in Province","volume":"22","author":"Lin","year":"2024","journal-title":"China Int. J."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/S0048-7333(99)00055-4","article-title":"The Dynamics of Innovation: From National Systems and \u201cMode 2\u201d to a Triple Helix of University\u2013industry\u2013government Relations","volume":"29","author":"Etzkowitz","year":"2000","journal-title":"Res. Policy"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1093\/scipol\/scy003","article-title":"University\u2013industry Cooperation: A Systematic Literature Review and Research Agenda","volume":"45","author":"Mascarenhas","year":"2018","journal-title":"Sci. Public Policy"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Wu, K., Wang, Y., Ye, Y., Zhang, H., and Huang, G. (2019). Relationship Between the Built Environment and the Location Choice of High-Tech Firms: Evidence from the Pearl River Delta. Sustainability, 11.","DOI":"10.3390\/su11133689"},{"key":"ref_42","first-page":"971","article-title":"Current status, challenges, and policy recommendations for industrial development in the Yellow River Basin","volume":"39","author":"Xue","year":"2024","journal-title":"Bull. Chin. Acad. Sci."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Huang, Z., and Hou, B. (2023). How Does Economic Resilience Enhance the Innovation Capability of the High-Tech Industry? Evidence from China. Systems, 11.","DOI":"10.3390\/systems11110531"},{"key":"ref_44","first-page":"56","article-title":"Research on the Spatial Spillover Effect of the Agglomeration of Strategic Emerging Industries on Regional Economic Growth in the Beijing-Tianjin-Hebei Region","volume":"40","author":"Zeng","year":"2021","journal-title":"J. Technol. Econ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1688","DOI":"10.1016\/j.egyr.2023.08.034","article-title":"An integrated perspective on the spatial-temporal characteristics of China\u2019s manufacturing carbon emissions at the regional and industry levels","volume":"10","author":"Wang","year":"2023","journal-title":"Energy Rep."},{"key":"ref_46","unstructured":"(2018). Announcement on the approval and release of the National Standard for the Classification of National Economic Industries No. 17, 2017. China Stand., 1, 150. (In Chinese)."},{"key":"ref_47","first-page":"28","article-title":"Research on Spatial Distribution Method of Strategic Emerging Industries and Its Application","volume":"4","author":"Wang","year":"2012","journal-title":"Forum Sci. Technol. China."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Anselin, L. (1988). Spatial Econometrics: Methods and Models, Kluwer Academic.","DOI":"10.1007\/978-94-015-7799-1"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1111\/j.1538-4632.1995.tb00338.x","article-title":"Local indicators of spatial association: LISA","volume":"27","author":"Anselin","year":"1995","journal-title":"Geogr. Anal."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.scitotenv.2016.10.183","article-title":"Driving Forces and the Spatial Patterns of Industrial Sulfur Dioxide Discharge in China","volume":"577","author":"Zhao","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Nie, L., and Wang, Y. (2024). Spatial Effects of Service Industry\u2019s Heterogeneous Agglomeration on Industrial Structure Optimization: Evidence from China. Systems, 12.","DOI":"10.3390\/systems12030085"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Xiong, W., and Li, J. (2024). The Knowledge Spillover Effect of Multi-Scale Urban Innovation Networks on Industrial Development: Evidence from the Automobile Manufacturing Industry in China. Systems, 12.","DOI":"10.3390\/systems12010005"}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/1\/27\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T15:23:48Z","timestamp":1759850628000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/1\/27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,2]]},"references-count":52,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,1]]}},"alternative-id":["systems13010027"],"URL":"https:\/\/doi.org\/10.3390\/systems13010027","relation":{},"ISSN":["2079-8954"],"issn-type":[{"type":"electronic","value":"2079-8954"}],"subject":[],"published":{"date-parts":[[2025,1,2]]}}}