City-level sequential patent database for innovation trajectories in the Global South

City-level sequential patent database for innovation trajectories in the Global South | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF data-descriptor City-level sequential patent database for innovation trajectories in the Global South Yuqi Liang, Jan H. E. Meyerhoff-Liang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9475353/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Innovation research frequently relies on patent data to study technological change, yet empirical coverage of cities in the Global South remains limited. Sequence analysis has gained increasing attention as a method for analysing categorical trajectories in social sciences, but its application to regional innovation studies is constrained by the lack of sequence-ready urban datasets. Moreover, integration of sequence analysis with network analysis is underexplored, despite its potential to jointly capture relational structures and trajectory patterns in innovation processes. This paper introduces a database of sequential patent data for the innovation trajectories of 4,125 Global South cities. Derived from existing geocoded patent data, the database includes general and technology-specific datasets (computing, environmental technology, and medicine), each available in sequence, network , sequence–network, and panel formats. Spanning from 1980 to 2014 and covering cities from seven countries (Brazil, Chile, China, India, Mexico, South Africa, and Turkey), the database supports analyses of innovation dynamics and helps increase the representation of Global South cities in economic geography, development studies and innovation research. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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