Bratanova, Alexandra and Pham, Hien and Mason, Claire and Hajkowicz, Stefan and Naughtin, Claire and Schleiger, Emma and Sanderson, Conrad and Chen, Caron and Karimi, Sarvnaz (2022): Differentiating artificial intelligence capability clusters in Australia.
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Abstract
We demonstrate how cluster analysis underpinned by analysis of revealed technology advantage can be used to differentiate geographic regions with comparative advantage in artificial intelligence (AI). Our analysis uses novel datasets on Australian AI businesses, intellectual property patents and labour markets to explore location, concentration and intensity of AI activities across 333 geographical regions. We find that Australia's AI business and innovation activity is clustered in geographic locations with higher investment in research and development. Through cluster analysis we identify three tiers of AI capability regions that are developing across the economy: ‘AI hotspots’ (10 regions), ‘Emerging AI regions’ (85 regions) and ‘Nascent AI regions’ (238 regions). While the AI hotspots are mainly concentrated in central business district locations, there are examples when they also appear outside CBD in areas where there has been significant investment in innovation and technology hubs. Policy makers can use the results of this study to facilitate and monitor the growth of AI capability to boost economic recovery. Investors may find these results helpful to learn about the current landscape of AI business and innovation activities in Australia.
Item Type: | MPRA Paper |
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Original Title: | Differentiating artificial intelligence capability clusters in Australia |
Language: | English |
Keywords: | Artificial intelligence, cluster, revealed technology advantage, regional innovation, Australia |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O31 - Innovation and Invention: Processes and Incentives O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O38 - Government Policy R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R12 - Size and Spatial Distributions of Regional Economic Activity |
Item ID: | 113237 |
Depositing User: | Dr Alexandra Bratanova |
Date Deposited: | 31 May 2022 15:04 |
Last Modified: | 31 May 2022 15:04 |
References: | T. H. Davenport and R. Ronanki, "Artificial intelligence for the real world " Harvard Business Review, vol. Reprint R1801H (January-February 2018), 2018. J. Bughin, J. Seong, J. Manyika, M. Chui, and R. Joshi, "Notes from the AI frontier: Modeling the impact of AI on the world economy. Discussion paper," McKinsey Global Institute. H. Dernis, P. Gkotsis, N. Grassano, S. Nakazato, M. Squicciarini, B. van Beuzekom, et al., "World Corporate Top R&D investors: Shaping the Future of Technologies and of AI. A joint JRC and OECD report. ," Office of the European Union, Luxembourg 2019. A. Annoni, P. Benczur, P. Bertoldi, B. Delipetrev, and et al, " Artificial Intelligence: A European Perspective," Publications Office of the European Union, Luxembourg 2018. OECD, "OECD.AI Policy Observatory: Investments in AI. Venture Capital," OECD.AI Policy Observatory 2021. S. Hajkowicz, S. Karimi, T. Wark, C. Chen, M. Evans, N. Rens, et al., "Artificial intelligence: Solving problems, growing the economy and improving our quality of life.," CSIRO Data61, Australia 2019. Forbes Technology Council, "16 Business And Industry Functions Being Transformed By AI," Forbes, vol. 9 September 2021, 2021. N. Ismail, "AI predictions: how AI is transforming five key industries " Information Age, vol. 4 September 2019, 2019. S. Akter, K. Michael, M. R. Uddin, G. McCarthy, and M. Rahman, "Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics," Annals of Operations Research, vol. 308, pp. 7-39, 2022/01/01 2022. A. Ashtaiwi, "Artificial Intelligence is Transforming the World Development Indicators," in 2020 IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G), 2020, pp. 122-128. DISER, "Australia’s Artificial Intelligence Action Plan (www.industry.gov.au)," Department of Industry, Science, Energy and Resources, Australian Government 2021. T. Dutton, B. Barron, and G. Boskovic, Building an AI world. Report on national and regional AI strategies, 2018. DTIS, "Hub to supercharge Queensland’s AI economy (DTIS news 7 May 2021)," Department of Tourism, Innovation and Sport, Queensland Government 2021. NSW Government, "AI Strategy," New South Wales Government 2021. Victoria State Government, "Backing Victoria as a leading AI technology destination (Media release 16 February 2021)," Victoria State Government 2021. DTI, "Adelaide aims high with AI initiative (Government of South Australia news 20 May 2021)," Department for Trade and Investment, Government of South Australia 2021. HAI Stanford University, "Artificial Intelligence Index Report 2021," Human-Centered Artificial Intelligence Stanford University 2021. M. Muro and S. Liu, "The geography of AI: Which cities will drive the artificial intelligence revolution?," Brookings 2021. B. T. Asheim and A. Isaksen, "Regional Innovation Systems: The Integration of Local ‘Sticky’ and Global ‘Ubiquitous’ Knowledge," The Journal of Technology Transfer, vol. 27, pp. 77-86, 2002/01/01 2002. M. Porter, "Clusters and the New Economics of Competition (p.78)," Harvard Business Review, vol. Nov./Dec., pp. 77-90, 1998. A. Muscio, "From regional innovation systems to local innovation systems: Evidence from Italian industrial districts," European Planning Studies, vol. 14, pp. 773-789, 2006/07/01 2006. R. Camagni and R. Capello, "Regional Innovation Patterns and the EU Regional Policy Reform: Towards Smart Innovation Policies," in Seminal Studies in Regional and Urban Economics: Contributions from an Impressive Mind, R. Capello, Ed., ed Cham: Springer International Publishing, 2017, pp. 313-343. A. Toney and M. Flagg, "U.S. Demand for AI-Related Talent," Center for Security and Emerging Technology (CSET) 2020. K. Aziz, M. M. Haque, A. Rahman, A. Y. Shamseldin, and M. Shoaib, "Flood estimation in ungauged catchments: application of artificial intelligence based methods for Eastern Australia," Stochastic Environmental Research and Risk Assessment, vol. 31, pp. 1499-1514, 2017/08/01 2017. F. Flanagan and M. Walker, "How can unions use Artificial Intelligence to build power? The use of AI chatbots for labour organising in the US and Australia," New Technology, Work and Employment, vol. 36, pp. 159-176, 2021. P. Henman, "Improving public services using artificial intelligence: possibilities, pitfalls, governance," Asia Pacific Journal of Public Administration, vol. 42, pp. 209-221, 2020/10/01 2020. T. Yigitcanlar, N. Kankanamge, M. Regona, A. Ruiz Maldonado, B. Rowan, A. Ryu, et al., "Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?," Journal of Open Innovation: Technology, Market, and Complexity, vol. 6, p. 187, 2020. ABS, "Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016," Australian Bureau of Statistics 2016. C. Mason, C. Chen, S. Wan, K. Trinh, A. Duenser, R. Sparks, et al., "Australian Skills Dashboard," Commonwealth Scientific and Industrial Research Organisation 2022. S. Baruffaldi, et al,, "Identifying and measuring developments in artificial intelligence: Making the impossible possible," OECD Science, Technology and Industry Working Papers , No. 2020/05,, vol. OECD Publishing, Paris, 2020. F. Moulaert and F. Sekia, "Territorial Innovation Models: A Critical Survey," Regional Studies, vol. 37, pp. 289-302, 2003/05/01 2003. M. J. Andrews and A. Whalley, "150 years of the geography of innovation," Regional Science and Urban Economics, p. 103627, 2021/01/25/ 2021. R. J. Barro and S.-i.-M. Xavier, "Convergence," Journal of Political Economy, vol. 100, pp. 223-251, 1992. R. Stimson, R. R. Stough, and P. Nijkamp, Endogenous Regional Development: Edward Elgar Publishing, 2011. D. Doloreux, J. Gaviria de la Puerta, I. Pastor-López, I. Porto Gómez, B. Sanz, and J. M. Zabala Iturriagagoitia, "Territorial innovation models: to be or not to be, tha” s the question," Scientometrics, vol. 120, pp. 1163 - 1191, 2019. A. Agrawal, I. Cockburn, A. Galasso, and A. Oettl, "Why are some regions more innovative than others? The role of small firms in the presence of large labs," Journal of Urban Economics, vol. 81, pp. 149-165, 2014/05/01/ 2014. A. Agrawal and I. Cockburn, "The anchor tenant hypothesis: exploring the role of large, local, R&D-intensive firms in regional innovation systems," International Journal of Industrial Organization, vol. 21, pp. 1227-1253, 2003/11/01/ 2003. OECD, Learning to Innovate: Learning regions, 2002. B. T. Asheim, "Learning Regions," in International Encyclopedia of Human Geography, R. Kitchin and N. Thrift, Eds., ed Oxford: Elsevier, 2009, pp. 172-178. R. Rutten and F. Boekema, The Learning RegionFoundations, State of the Art, Future: Edward Elgar Publishing, 2007. A. Jungmittag, "Innovations, technological specialisation and economic growth in the EU," International Economics and Economic Policy, vol. 1, pp. 247-273, 2004/12/01 2004. S. Brusco, "The Emilian model: productive decentralisation and social integration," Cambridge Journal of Economics, vol. 6, pp. 167 - 184, 1982. A. Rinaldi, "The Emilian Model Revisited: Twenty Years After," Business History, vol. 47, pp. 244-266, 2005/04/01 2005. D. Foray, "From smart specialisation to smart specialisation policy," European Journal of Innovation Management, vol. 17, pp. 492-507, 2014. OECD, "Innovation-driven Growth in Regions: The Role of Smart Specialisation " Organisation for Economic Co-operation and Development2013. European Commission, "European Structural and Investment Funds 2014-2020: Official texts and commentaries," European Commission, European Union2015. C. Gianelle, F. Guzzo, and K. Mieszkowski, "Smart Specialisation: what gets lost in translation from concept to practice?," Regional Studies, vol. 54, pp. 1377-1388, 2020/10/02 2020. R. Hassink and H. Gong, "Six critical questions about smart specialization," European Planning Studies, vol. 27, pp. 2049-2065, 2019/10/03 2019. M. Di Cataldo, V. Monastiriotis, and A. Rodríguez-Pose, "How ‘Smart’ Are Smart Specialization Strategies?," JCMS: Journal of Common Market Studies, vol. n/a, 2020. C. Veldhuizen, B. Wilson, L. Coenen, L. Goedegebuure, and M. Schoen, "State of the Art Review of Smart Specialisation in Europe," Melbourne Sustainable Society Institute, The University of Melbourne 2018. B. T. Asheim, R. Boschma, and P. Cooke, "Constructing Regional Advantage: Platform Policies Based on Related Variety and Differentiated Knowledge Bases," Regional Studies, vol. 45, pp. 893-904, 2011/07/01 2011. P. Cooke, "‘Introduction. Origins of the Concept,’ in H.-J. Braczyk et al. (eds.), Regional Innovation Systems," 1998. F. Tödtling and M. Trippl, "One size fits all?: Towards a differentiated regional innovation policy approach," Research Policy, vol. 34, pp. 1203-1219, 2005/10/01/ 2005. A. Ciffolilli and A. Muscio, "Industry 4.0: national and regional comparative advantages in key enabling technologies," European Planning Studies, vol. 26, pp. 2323-2343, 2018/12/02 2018. D. Foray and X. Goenaga, "The Goals of Smart Specialisation (S3 Policy Brief Series). JRC Scientific and Policy Reports," European Comission2013. S. Montresor and F. Quatraro, "Regional Branching and Key Enabling Technologies: Evidence from European Patent Data," Economic Geography, vol. 93, pp. 367-396, 2017/08/08 2017. OECD, OECD Science, Technology and R&D Statistics: Revealed technology advantage in selected fields: OECD Science, Technology and R&D Statistics (database), 2021. EC, "AI Watch. G3: AI areas of specialisation: comparative advantage in AI thematic areas," European Commission2022. OECD, "Boosting Innovation: The Cluster Approach," Organisation for Ecomonic Co-operation and Development1999. G. Swann, M. Prevezer, and D. Stout, The Dynamics of Industrial Clustering: International Comparisons in Computing and Biotechnology: Oxford University Press, 1998. M. Enright, "'Regional clusters and firm strategy’, in Business Networks: Prospects for Regional Development, Eds. U. Staber, N. Schaefer & B. Sharma, de Gruyter, Berlin and New York," 1996. P. Maskell, "Towards a Knowledg… based Theory of the Geographical Cluster," Industrial and Corporate Change, vol. 10, pp. 921-943, 2001. OECD, "Innovative Clusters: Drivers of National Innovation Systems " Organisation for Economic Co-operation and Development 2001. M. J. Enright and B. H. Roberts, "Regional Clustering in Australia," Australian Journal of Management, vol. 26, pp. 65-85, 2001/08/01 2001. B. H. Roberts, "The Role of Industry Clusters in Driving Innovation and Competitiveness of Regions," RDA National Forum 2018, Australian Capital Territory vol. 16-17th August, 2018. S. Hajkowicz, A. Reeson, D. Evans, A. Bratanova, and L. Cameron, "Industry Growth Opportunities: A technical report to support the Western Parkland City Economic Development Strategy. A research report for the New South Wales Government by CSIRO Data61 Insights," CSIRO, Australia 2021. S. Baruffaldi, B. van Beuzekom, H. Dernis, D. Harhoff, N. Rao, and et al., "Identifying and measuring developments in artificial intelligence: Making the impossible possible. OECD Science, Technology and Industry Working Papers 2020/05," OECD2020. Crunchbase, "About Crunchbase: Search less. Close more (www.crunchbase.com)," 2022. ABR, ABN Lookup tool: Australian Business Register, Australian Government, 2021. J. O. Atherton, A. Bratanova, and B. Markey-Towler, "Who Is the Blockchain Employee? Exploring Skills in Demand Using Observations from the Australian Labour Market and Behavioural Institutional Cryptoeconomics," The Journal of The British Blockchain Association, vol. 3, 2020. S. Hajkowicz, A. Reeson, L. Rudd, A. Bratanova, L. Hodgers, C. Mason, et al., "Tomorrow’s Digitally Enabled Workforce: Megatrends and scenarios for jobs and employment in Australia over the coming twenty years," CSIRO, Brisbane, Australia 2016. A. Duenser and C. Mason, "Evaluating online job ads as indicators of demand for new workers: Characterising strengths and weaknesses," CSIRO, Canberra 2019. Y. Zhao, C. Chen, and C. Mason, "A Framework for Duplicate Detection from Online Job Postings " The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (14-17 December 2021), 2021. H. C. Yanchang Zhao, Claire Mason, Andrew Reeson, Shanae Burns and David Evans,, "Comparison of Online Job Ads Data – Adzuna vs Burning Glass," CSIRO publishing, 2021. ABS, "Data.gov.au: SA3 Regional Innovation Data, 2009 to 2016," Australian Bureau of Statistics, Australian Government2022. B. H. Hall and J. Mairesse, "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, vol. 65, pp. 263-293, 1995/01/01/ 1995. M. Berlemann and J.-E. Wesselhöft, "Estimating Aggregate Capital Stocks Using the Perpetual Inventory Method: A Survey of Previous Implementations and New Empirical Evidence for 103 Countries," Review of Economics, vol. 65, pp. 1-34, 2014. ABS, "Information Paper: Implementation of new international statistical standards in ABS National and International Accounts, September 2009. Chapter 6: Research & Development," Australian Bureau of Statistics2009. The World Bank, "The World Bank Data: Consumer price index (2010 = 100)," The World Bank 2022. P. A. P. Moran, "Notes on Continuous Stochastic Phenomena," Biometrika, vol. 37, pp. 17-23, 1950. J. D. C. James M. Lattin, Paul E. Green,, Analyzing Multivariate Data. Pacific Grove, CA: Thomson Brooks/Cole, 2003. J. F. Hair Jr., W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis vol. 7. Essex, England: Pearson Education Limited, 2014. L. A. García-Escudero, A. Gordaliza, C. Matrán, and A. Mayo-Iscar, "A review of robust clustering methods," Advances in Data Analysis and Classification, vol. 4, pp. 89-109, 2010/09/01 2010. L. García-Escudero, A. Gordaliza, C. Matrán, and A. Mayo, "A general trimming approach to robust Cluster Analysis," The Annals of Statistics, vol. 36, pp. 1324-1345, 06/01 2008. N. G. Malika Charrad, Veronique Boiteau, Azam Niknafs,, "NbClust: An R package for determining the relevant number of clusters in a data set," Journal of Statistical Software, vol. 61, October 2014 2014. M. Gregg, S. Datta, and D. Lorenz, "Variance estimation in tests of clustered categorical data with informative cluster size," Statistical Methods in Medical Research, vol. 29, pp. 3396-3408, 2020/11/01 2020. D. A. Comin, M. Dmitriev, and E. Rossi-Hansberg, "The Spatial Diffusion of Technology. NBER Working paper 18534," National Bureau of Economic Research, 2012. Department of Defence, "About Defence Science and Technology Group," Department of Defence, Australian Government 2022. Queensland Government, "A place for innovation: Queensland innovation places strategy. Discussion paper," Advance Queensland, Queensland Government 2021. Queensland Government, "The Precinct," Advance Queensland, Queensland Government 2021. City of Port Phillip. (2022). Games Port Phillip (www.portphillip.vic.gov.au). City of Port Phillip, "Games Action Plan," City of Port Phillip 2020. M.-A. Williams, "The artificial intelligence race: Will Australia lead or lose?," Journal and Proceedings of the Royal Society of New South Wales, vol. 152, 2019. Australian Government, "Catalysing the Artificial Intelligence Opportunity in Our Regions Round 1," Business, Australian Government 2022. E. Ingham, "CrunchBase is such a valuable startup analysis tool, but the problem is it has no filter," Forbes, vol. 5 November 2014, 2014. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/113237 |