{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T01:33:29Z","timestamp":1785288809962,"version":"3.55.0"},"reference-count":80,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T00:00:00Z","timestamp":1742515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2024CDJSKPT07"],"award-info":[{"award-number":["2024CDJSKPT07"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Industrial robot adoption significantly affects economic growth and environmental protection, serving as a critical driver of green development. This paper empirically investigates the effects of industrial robot adoption on green total factor productivity from the perspectives of knowledge flow and spatial spillover using the Chinese cities panel dataset. The findings demonstrate that industrial robot adoption improves local green total factor productivity while generating positive spillover effects on neighboring regions, mediated by strengthened knowledge agglomeration and diffusion capacities. Central cities within urban clusters exhibit significantly stronger impacts on knowledge aggregation and diffusion capabilities than peripheral cities. Furthermore, cities with higher human capital, better transportation infrastructure, and stronger support for the AI industry show a more significant positive effect of industrial robot adoption on knowledge agglomeration and diffusion capabilities. This, in turn, facilitates the flow of knowledge between cities and improves green total factor productivity, thereby contributing to green development. This study provides city-level empirical evidence highlighting how industrial robot adoption drives green development through spatial spillovers and knowledge flow mechanisms.<\/jats:p>","DOI":"10.3390\/systems13040215","type":"journal-article","created":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T11:06:48Z","timestamp":1742555208000},"page":"215","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Can Industrial Robot Adoption Improve the Green Total Factor Productivity in Chinese Cities?"],"prefix":"10.3390","volume":"13","author":[{"given":"Siying","family":"Chen","sequence":"first","affiliation":[{"name":"School of Finance and Economics, Qinghai University, Xining 810016, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siying","family":"Mu","sequence":"additional","affiliation":[{"name":"School of Public Policy and Administration, Chongqing University, Chongqing 400044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yedong","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Public Policy and Administration, Chongqing University, Chongqing 400044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7728-6025","authenticated-orcid":false,"given":"Zhixiong","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Public Policy and Administration, Chongqing University, Chongqing 400044, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,3,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"132540","DOI":"10.1016\/j.energy.2024.132540","article-title":"Harnessing the synergistic impacts of financial structure, industrialization, and ecological footprint through the lens of the EKC hypothesis. Insights from Pakistan","volume":"307","author":"Ullah","year":"2024","journal-title":"Energy"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/17565529.2024.2436090","article-title":"Future research directions for understanding the interconnections between climate change, water scarcity, and mobility in rural Central Asia","volume":"31","author":"Hermans","year":"2024","journal-title":"Clim. Dev."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"136795","DOI":"10.1016\/j.chemosphere.2022.136795","article-title":"Assessing magnetic properties of biomonitors and road dust as a screening method for air pollution monitoring","volume":"310","year":"2023","journal-title":"Chemosphere"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"108511","DOI":"10.1016\/j.ecolecon.2024.108511","article-title":"Defining a safe and just operating space for the Norwegian economy","volume":"230","year":"2025","journal-title":"Ecol. Econ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"102733","DOI":"10.1016\/j.habitatint.2022.102733","article-title":"Achieving Harmony between the Economy and the Environment","volume":"131","author":"Cao","year":"2023","journal-title":"Habitat Int."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1162\/GLEP_a_00110","article-title":"Climate challenges, ecological modernization, and technological forcing: Policy lessons from a comparative US-EU analysis","volume":"12","author":"Szarka","year":"2012","journal-title":"Glob. Environ. Politics"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"102184","DOI":"10.1016\/j.techsoc.2022.102184","article-title":"The effects of technological innovation on sustainable development and environmental degradation: Evidence from China","volume":"72","author":"Ahmad","year":"2023","journal-title":"Technol. Soc."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"123816","DOI":"10.1016\/j.jenvman.2024.123816","article-title":"Achieving pollution abatement and carbon reduction synergistically: How can industrial robots play a role?","volume":"373","author":"Xu","year":"2025","journal-title":"J. Environ. Manag."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"197","DOI":"10.5937\/sjm17-30453","article-title":"Barriers of new technology introduction and disadvantages of Industry 4.0 for industrial enterprises","volume":"17","author":"Pech","year":"2022","journal-title":"Serbian J. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/restud\/rdab031","article-title":"Demographics and automation","volume":"89","author":"Acemoglu","year":"2022","journal-title":"Rev. Econ. Stud."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Pal\u010di\u010d, I., and Prester, J. (2024). Effect of Usage of Industrial Robots on Quality, Labor Productivity, Exports and Environment. Sustainability, 16.","DOI":"10.20944\/preprints202407.0441.v1"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"35392","DOI":"10.1007\/s11356-021-14467-4","article-title":"A critical review of the current research mainstreams and the influencing factors of green total factor productivity","volume":"28","author":"Zhang","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"102205","DOI":"10.1016\/j.labeco.2022.102205","article-title":"Industrial robots, workers\u2019 safety, and health","volume":"78","author":"Gihleb","year":"2022","journal-title":"Labour Econ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1981","DOI":"10.1080\/00343404.2023.2292259","article-title":"Industrial robots, and information and communication technology: The employment effects in EU labour markets","volume":"58","author":"Jestl","year":"2024","journal-title":"Reg. Stud."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2188","DOI":"10.1086\/705716","article-title":"Robots and jobs: Evidence from US labor markets","volume":"128","author":"Acemoglu","year":"2020","journal-title":"J. Political Econ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1111\/ecot.12367","article-title":"Sustainable growth through industrial robot diffusion: Quasi-experimental evidence from a Bartik shift-share design","volume":"31","author":"Wu","year":"2023","journal-title":"Econ. Transit. Institutional Chang."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"123392","DOI":"10.1016\/j.jenvman.2024.123392","article-title":"Does industrial robot adoption inhibit environmental pollution in China? An empirical study on energy consumption and green technology innovation","volume":"373","author":"Li","year":"2025","journal-title":"J. Environ. Manag."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"117170","DOI":"10.1016\/j.jenvman.2022.117170","article-title":"Air pollution, water pollution, and robots: Is technology the panacea","volume":"330","author":"Song","year":"2023","journal-title":"J. Environ. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.spc.2022.08.025","article-title":"Robot adoption and green productivity: Curse or Boon","volume":"34","author":"Zhang","year":"2022","journal-title":"Sustain. Prod. Consum."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"142593","DOI":"10.1016\/j.jclepro.2024.142593","article-title":"Towards a high-energy efficiency world: Assessing the impact of artificial intelligence on urban energy efficiency","volume":"461","author":"Li","year":"2024","journal-title":"J. Clean. Prod."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/s40100-023-00243-0","article-title":"The role of green total factor productivity to farm-level performance: Evidence from Norwegian dairy farms","volume":"11","author":"Alem","year":"2023","journal-title":"Agric. Food Econ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"6860","DOI":"10.1007\/s13132-023-01268-y","article-title":"Green Technological Progress Implications on Long-Run Sustainable Economic Growth","volume":"15","author":"Ahmed","year":"2023","journal-title":"J. Knowl. Econ."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Hu, H. (2025). The impact of carbon emissions trading on green total factor productivity based on evidence from a quasi-natural experiment. Sci. Rep., 15.","DOI":"10.1038\/s41598-025-88318-4"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1177\/00420980241245871","article-title":"Smart cities, virtual futures?\u2014Interests of urban actors in mediating digital technology and urban space in Tallinn, Estonia","volume":"62","author":"Jakonen","year":"2025","journal-title":"Urban Stud."},{"key":"ref_25","first-page":"303","article-title":"Technological disruption and patent activities: Adoption of robots by Chinese manufacturing firms","volume":"55","author":"Zhou","year":"2025","journal-title":"RD Manag."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"104170","DOI":"10.1016\/j.respol.2020.104170","article-title":"The complex nature of regional knowledge production: Evidence on European regions","volume":"51","author":"Pintar","year":"2022","journal-title":"Res. Policy"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Balafoutis, A.T., Evert, F.K.V., and Fountas, S. (2020). Smart farming technology trends: Economic and environmental effects, labor impact, and adoption readiness. Agronomy, 10.","DOI":"10.3390\/agronomy10050743"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1057\/s41275-016-0003-0","article-title":"Knowledge city research and practice under the microscope: A review of empirical findings","volume":"14","author":"Edvardsson","year":"2016","journal-title":"Knowl. Manag. Res. Pract."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"3780","DOI":"10.1111\/twec.13602","article-title":"The impact of industrial robots on export stability","volume":"47","author":"Zhou","year":"2024","journal-title":"World Econ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"121579","DOI":"10.1016\/j.jenvman.2024.121579","article-title":"Blessing or curse? The role of digital technology innovation in carbon emission efficiency","volume":"365","author":"Li","year":"2024","journal-title":"J. Environ. Manag."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Wang, A., and Ren, J. (2023). The impact of the digital economy on green total factor productivity in Belt and Road countries: The mediating role of energy transition. Front. Environ. Sci., 11.","DOI":"10.3389\/fenvs.2023.1213961"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Yang, X., Zhu, N., Lv, J., and Luo, S. (2024). Industrial robot applications\u2019 effects on consumption of energy and its spatial effects. Environ. Dev. Sustain., 1\u201331.","DOI":"10.1007\/s10668-024-04482-z"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1080\/08985620802462124","article-title":"Knowledge networks in local and global space","volume":"20","author":"Lorentzen","year":"2008","journal-title":"Entrep. Reg. Dev."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1427","DOI":"10.1007\/s11625-024-01463-z","article-title":"Assessing the relevance of different proximity dimensions for knowledge exchange and (co-) creation in sustainability-oriented innovation networks","volume":"19","author":"Wilke","year":"2024","journal-title":"Sustain. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1006\/jjie.1996.0021","article-title":"Economics of agglomeration","volume":"10","author":"Fujita","year":"1996","journal-title":"J. Jpn. Int. Econ."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Kovi\u010d, K., Ojster\u0161ek, R., and Pal\u010di\u010d, I. (2023). Simultaneous Use of Digital Technologies and Industrial Robots in Manufacturing Firms. Appl. Sci., 13.","DOI":"10.3390\/app13105890"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"00368504221144093","DOI":"10.1177\/00368504221144093","article-title":"The impact of industrial robots application on air pollution in China: Mechanisms of energy use efficiency and green technological innovation","volume":"105","author":"Yu","year":"2022","journal-title":"Sci. Prog."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1093\/jeg\/lbae026","article-title":"Beyond \u201cbuzz\u201d: Knowledge interactions, innovation, and neighborhood characteristics","volume":"24","author":"Matsiuk","year":"2024","journal-title":"J. Econ. Geogr."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1504\/IJTM.2023.128840","article-title":"Agglomeration and flow of innovation elements and the impact on regional innovation efficiency","volume":"92","author":"Yu","year":"2023","journal-title":"Int. J. Technol. Manag."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1080\/10630732.2022.2160607","article-title":"Uncertainty in Market-Mediated Technology Transfer and Geographical Diffusion: Evidence from Chinese Technology Flow","volume":"30","author":"Han","year":"2023","journal-title":"J. Urban Technol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1111\/ecca.12129","article-title":"Industry concentration, knowledge diffusion and economic growth without scale effects","volume":"82","author":"Davis","year":"2015","journal-title":"Economica"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.1068\/a37380","article-title":"The role of location in knowledge creation and diffusion: Evidence of centripetal and centrifugal forces in the City of London financial services agglomeration","volume":"39","author":"Cook","year":"2007","journal-title":"Environ. Plan. A"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Zhou, S., Xu, X., and Liu, F. (2024). Knowledge Spillovers and Integrated Circuit Innovation Ecosystem Resilience: Evidence from China. Systems, 12.","DOI":"10.3390\/systems12100441"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.jue.2016.08.005","article-title":"Spillovers, absorptive capacity and agglomeration","volume":"96","author":"Lychagin","year":"2016","journal-title":"J. Urban Econ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1080\/09654313.2012.716246","article-title":"Buzz, archipelago economies and the future of intermediate and peripheral areas in a spiky world","volume":"21","author":"Fitjar","year":"2013","journal-title":"Eur. Plan. Stud."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.rcim.2015.04.002","article-title":"Robot skills for manufacturing: From concept to industrial deployment","volume":"37","author":"Pedersen","year":"2016","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"e18670","DOI":"10.1016\/j.heliyon.2023.e18670","article-title":"Soft skills and their importance in the labour market under the conditions of Industry 5.0","volume":"9","year":"2023","journal-title":"Heliyon"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Richn\u00e1k, P., and Fidlerov\u00e1, H. (2022). Impact and Potential of Sustainable Development Goals in Dimension of the Technological Revolution Industry 4.0 within the Analysis of Industrial Enterprises. Energies, 15.","DOI":"10.3390\/en15103697"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1016\/j.compbiomed.2009.08.009","article-title":"Classification of breast tissues using Moran\u2019s index and Geary\u2019s coefficient as texture signatures and SVM","volume":"39","author":"Junior","year":"2009","journal-title":"Comput. Biol. Med."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.geoderma.2016.05.016","article-title":"Approximating the variance of estimated means for systematic random sampling, illustrated with data of the French Soil Monitoring Network","volume":"279","author":"Brus","year":"2016","journal-title":"Geoderma"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1111\/grow.12231","article-title":"The direct and indirect (spillover) effects of productive government spending on state economic growth","volume":"49","author":"Ojede","year":"2018","journal-title":"Growth Chang."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Zhang, K., Qiu, X., and Zhu, C. (2025). Would workers value a few more hours of work? Technological progress and time-related underemployment among Chinese workers. Appl. Econ., 1\u201314.","DOI":"10.1080\/00036846.2025.2461329"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1111\/ecot.12356","article-title":"Do industrial robots affect the labour market? Evidence from China","volume":"31","author":"Zhang","year":"2023","journal-title":"Econ. Transit. Institutional Chang."},{"key":"ref_54","first-page":"88","article-title":"Of machines and men: How the rise of robots affects China\u2019s labor income","volume":"46","author":"Wang","year":"2023","journal-title":"J. World Econ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"104561","DOI":"10.1016\/j.resconrec.2019.104561","article-title":"The drivers of China\u2019s regional green productivity, 1999\u20132013","volume":"153","author":"Liu","year":"2020","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1006\/jeth.1996.0096","article-title":"Benefit and distance functions","volume":"70","author":"Chambers","year":"1996","journal-title":"J. Econ. Theory"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.enpol.2014.12.025","article-title":"Energy and CO2 emissions performance in China\u2019s regional economies: Do market-oriented reforms matter?","volume":"78","author":"Lin","year":"2015","journal-title":"Energy Policy"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1016\/j.enpol.2013.01.033","article-title":"Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis","volume":"56","author":"Zhang","year":"2013","journal-title":"Energy Policy"},{"key":"ref_59","first-page":"625","article-title":"Research on energy consumption dynamic among prefecture-level cities in China basedon DMSP\/OLS Nighttime Light","volume":"33","author":"Wu","year":"2014","journal-title":"Geogr. Res."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1007\/s11769-021-1227-3","article-title":"Spatiotemporal dynamics of green total-factor water-use efficiency and its influencing factors in China","volume":"31","author":"Ma","year":"2021","journal-title":"Chin. Geogr. Sci."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"104010","DOI":"10.1016\/j.respol.2020.104010","article-title":"Evolution and structure of technological systems-An innovation output network","volume":"49","author":"Taalbi","year":"2020","journal-title":"Res. Policy"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1314","DOI":"10.1080\/09537325.2019.1612868","article-title":"New perspectives on university-industry relations: An analysis of the knowledge flow within two sectors and two countries","volume":"31","author":"Dalmarco","year":"2019","journal-title":"Technol. Anal. Strateg. Manag."},{"key":"ref_63","first-page":"114","article-title":"Digital infrastructure construction, knowledge flow and urban high-quality development: Empirical evidence from quasi-natural experiments and spatial spillovers","volume":"6","author":"Ma","year":"2022","journal-title":"Ind. Econ. Res."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1007\/s10109-013-0183-6","article-title":"Social networks and trade of services: Modelling interregional flows with spatial and network autocorrelation effects","volume":"15","author":"Llano","year":"2013","journal-title":"J. Geogr. Syst."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"120185","DOI":"10.1016\/j.techfore.2020.120185","article-title":"Urban innovation and intercity patent collaboration: A network analysis of China\u2019s national innovation system","volume":"160","author":"Yao","year":"2020","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1016\/j.tra.2018.07.007","article-title":"Is transport poverty socially or environmentally driven? Comparing the travel behaviours of two low-income populations living in central and peripheral locations in the same city","volume":"116","author":"Lucas","year":"2018","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"2763","DOI":"10.1108\/MD-02-2023-0285","article-title":"Exploring the impact of industrial robots on firm innovation under circular economy umbrella: A human capital perspective","volume":"62","author":"Luo","year":"2023","journal-title":"Manag. Decis."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"107065","DOI":"10.1016\/j.eneco.2023.107065","article-title":"Emerging enablers of green low-carbon development: Do digital economy and open innovation matter?","volume":"127","author":"Wang","year":"2023","journal-title":"Energy Econ."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"102857","DOI":"10.1016\/j.technovation.2023.102857","article-title":"Green supply chain technology and organization performance: Moderating role of environmental dynamism and product-service innovation capability","volume":"128","author":"Chaudhuri","year":"2023","journal-title":"Technovation"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"121893","DOI":"10.1016\/j.techfore.2022.121893","article-title":"Does industrial robot application promote green technology innovation in the manufacturing industry?","volume":"183","author":"Lee","year":"2022","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1016\/j.strueco.2023.08.002","article-title":"Industrial robots and firm productivity","volume":"67","author":"Duan","year":"2023","journal-title":"Struct. Chang. Econ. Dyn."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"102110","DOI":"10.1016\/j.rcim.2020.102110","article-title":"Spillover Algorithm: A decentralised coordination approach for multi-robot production planning in open shared factories","volume":"70","author":"Lujak","year":"2021","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1111\/j.0022-4146.2004.00339.x","article-title":"Central cities as engines of metropolitan area growth","volume":"44","year":"2004","journal-title":"J. Reg. Sci."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"105890","DOI":"10.1016\/j.frl.2024.105890","article-title":"National central cities, technological innovation, and economic growth","volume":"67","author":"Ma","year":"2024","journal-title":"Financ. Res. Lett."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"rvae056","DOI":"10.1093\/reseval\/rvae056","article-title":"Can talent policy promote green technology innovation?","volume":"33","author":"Liu","year":"2024","journal-title":"Res. Eval."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"10106","DOI":"10.1007\/s11356-023-25220-4","article-title":"Population agglomeration in Chinese cities: Is it benefit or damage for the quality of economic development?","volume":"31","author":"Guo","year":"2023","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1667","DOI":"10.1108\/BPMJ-11-2023-0855","article-title":"Can high-speed railway promote enterprise ambidextrous innovation: A quasi-natural experiment in China","volume":"30","author":"Li","year":"2024","journal-title":"Bus. Process Manag. J."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s00168-022-01135-9","article-title":"The spatial employment effect of high-speed railway: Quasi-natural experimental evidence from China","volume":"69","author":"Liu","year":"2022","journal-title":"Ann. Reg. Sci."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1146\/annurev-economics-091523-044259","article-title":"Industrial policy and the great divergence","volume":"16","author":"Steinwender","year":"2024","journal-title":"Annu. Rev. Econ."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Heinrich, C., Knill, C., and Steinebach, Y. (2024). Analyzing industrial policy portfolios. Policy Sci., 1\u201323.","DOI":"10.1007\/s11077-024-09559-0"}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/4\/215\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:58:09Z","timestamp":1760029089000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/4\/215"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,21]]},"references-count":80,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2025,4]]}},"alternative-id":["systems13040215"],"URL":"https:\/\/doi.org\/10.3390\/systems13040215","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,21]]}}}