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The Spatial Distribution of Innovative Activity in U.S. Metropolitan Areas: Evidence from Patent Data

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  • Lim, Up

Abstract

Despite the fact that knowledge spillovers have explicitly geographic components, the role of spatial effects in the knowledge spillover process has been ignored. In this context, the objective of this paper is to observe differences in the spatial distribution of innovative activity across U.S. metropolitan areas, and thereby to examine whether the concentration of innovative activity in a metropolitan area is spatially correlated to the concentration of neighboring metropolitan areas’ innovative activity. Based on a data set of patents, this paper presents the recent space-time patterns of metropolitan innovative activity for the period 1990-1999.

Suggested Citation

  • Lim, Up, 2003. "The Spatial Distribution of Innovative Activity in U.S. Metropolitan Areas: Evidence from Patent Data," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 33(2), pages 1-30.
    • Handle: RePEc:ags:jrapmc:132259
    DOI: 10.22004/ag.econ.132259
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    2. Durden, Garey C. & Gaynor, Patricia E., 2015. "Publishing in The Journal of Regional Analysis and Policy and an Evaluation (via Citation Counts) of JRAP’s Influence on Scholarship in Regional Science," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 45(2).
    3. Jiwu Wang & Nina Liu & Yichen Ruan, 2020. "Influence Factors of Spatial Distribution of Urban Innovation Activities Based on Ensemble Learning: A Case Study in Hangzhou, China," Sustainability, MDPI, vol. 12(3), pages 1-19, January.
    4. Choi, Hyo Shin & Sohn, So Young & Yeom, Ho Jeong, 2018. "Technological composition of US metropolitan statistical areas with high-impact patents," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 72-83.
    5. Silvia Cerisola, 2019. "A new perspective on the cultural heritage–development nexus: the role of creativity," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(1), pages 21-56, March.
    6. Zheye Wang & Yeqing Cheng & Xinyue Ye & Y. H. Dennis Wei, 2016. "Analyzing the Space–Time Dynamics of Innovation in China: ESDA and Spatial Panel Approaches," Growth and Change, Wiley Blackwell, vol. 47(1), pages 111-129, March.
    7. Nina Liu & Jiwu Wang & Yan Song, 2019. "Organization Mechanisms and Spatial Characteristics of Urban Collaborative Innovation Networks: A Case Study in Hangzhou, China," Sustainability, MDPI, vol. 11(21), pages 1-18, October.
    8. Jason S. Myers & Anne Dunning, 2011. "The Relationship between Megaregions and Megapolitans: Transportation Planning for the Two Scales," Chapters, in: Kenneth Button & Aura Reggiani (ed.), Transportation and Economic Development Challenges, chapter 2, Edward Elgar Publishing.
    9. Xin Zhang & Feng Xu, 2023. "Environmental Regulation and Spatial Spillover Effect of Green Technology Innovation: An Empirical Study on the Spatial Durbin Model," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    10. Roberta Capello & Silvia Cerisola, 2020. "Concentrated versus diffused growth assets: agglomeration economies and regional cohesion," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1440-1453, December.
    11. Pradhan, Jaya Prakash, 2013. "The Geography of Patenting In India: Patterns and Determinants," MPRA Paper 50595, University Library of Munich, Germany.
    12. Yanyang Yan & Zhichao Wu, 2020. "Regional innovation distribution and its dynamic evolution: Policy impact and spillover effect—Based on the perspective of innovation motivation," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-29, July.
    13. WANG, La-yin & ZHAO, Dong, 2021. "Cross-domain function analysis and trend study in Chinese construction industry based on patent semantic analysis," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    14. Fuqin Zhang & Yue Wang & Wei Liu, 2020. "Science and Technology Resource Allocation, Spatial Association, and Regional Innovation," Sustainability, MDPI, vol. 12(2), pages 1-19, January.
    15. Song, Shuxin & Wen, Jun & Li, Yan & Li, Lingxiao, 2024. "How does digital economy affect green technological innovation in China? New evidence from the “Broadband China” policy," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1093-1112.
    16. Paul J. Maliszewski & Breandán Ó hUallacháin, 2012. "Hierarchy and concentration in the American urban system of technological advance," Papers in Regional Science, Wiley Blackwell, vol. 91(4), pages 743-758, November.

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