Batabyal, Amitrajeet and Kourtit, Karima and Nijkamp, Peter (2023): Artificial Intelligence Based Technologies and Economic Growth in a Creative Region.
Preview |
PDF
MPRA_paper_121328.pdf Download (477kB) | Preview |
Abstract
We analyze economic growth in a stylized, high-tech region A with two key features. First, the residents of this region are high-tech because they possess skills. In the language of Richard Florida, these residents comprise the region’s creative class and they possess creative capital. Second, the region is high-tech because it uses an artificial intelligence (AI)-based technology and we model the use of this technology. In this setting, we first derive expressions for three growth metrics. Second, we use these metrics to show that the economy of A converges to a balanced growth path (BGP). Third, we compute the growth rate of output per effective creative capital unit on this BGP. Fourth, we study how heterogeneity in initial conditions influences outcomes on the BGP by introducing a second high-tech region B into the analysis. At time t=0, two key savings rates in A are twice as large as in B. We compute the ratio of the BGP value of income per effective creative capital unit in A to its value in B. Finally, we compute the ratio of the BGP value of skills per effective creative capital unit in A to its value in B.
Item Type: | MPRA Paper |
---|---|
Original Title: | Artificial Intelligence Based Technologies and Economic Growth in a Creative Region |
English Title: | Artificial Intelligence Based Technologies and Economic Growth in a Creative Region |
Language: | English |
Keywords: | Artificial Intelligence, Creative Capital, Regional Economic Growth, Skills |
Subjects: | 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 R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R11 - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes |
Item ID: | 121328 |
Depositing User: | Dr. Amitrajeet Batabyal |
Date Deposited: | 28 Jun 2024 23:29 |
Last Modified: | 28 Jun 2024 23:29 |
References: | Accetturo, A., Dalmazzo, A., and de Blasio, G. 2014. Skill polarization in local labor markets under share-altering technical change, Journal of Regional Science, 54, 249-272. Acemoglu, D. 2009. Introduction to Modern Economic Growth. MIT Press, Cambridge, MA. Acemoglu, D., Autor, D., Hazell, J., and Restrepo, P. 2022. Artificial intelligence and jobs: Evidence from online vacancies, Journal of Labor Economics, 40, S293-S340. Acemoglu, D., and Restrepo, P. 2019a. The wrong kind of AI? Artificial intelligence and the future of labour demand, Cambridge Journal of Regions, Economy, and Society, 13, 25-35. Acemoglu, D., and Restrepo, P. 2019b. Artificial intelligence, automation, and work, in A. Agrawal, J. Gans, and A. Goldfarb, Eds., The Economics of Artificial Intelligence, 197-236. University of Chicago Press, Chicago, IL. Autor, D. 2013. The task approach to labour markets, Journal for Labour Market Research, 46, 185-199. Bak-Coleman, J.B., Alfano, M., Barfuss, W., Bergstrom, C.T., Centeno, M.A., Couzin, I.D., and Weber, E.K. 2021. Stewardship of global collective behavior, Proceedings of the National Academy of Sciences, 118, e2025764118. Batabyal, A.A., and Beladi, H. 2021. Interregional demand for workers and the effects of labour income taxation, Regional Science Policy and Practice, 13, 1042-1050. Batabyal, A.A., and Beladi, H. 2022. The response of creative class members to regions vying to attract them with subsidies, International Regional Science Review, 45, 581-600. Batabyal, A.A., and Nijkamp, P. 2010. Richard Florida’s creative capital in a trading regional economy: a theoretical investigation, Annals of Regional Science, 44, 241-250. Batabyal, A.A., and Nijkamp, P. 2019. Creative capital, information and communication technologies, and economic growth in smart cities, Economics of Innovation and New Technology, 28, 142-155. Batabyal, A.A., and Nijkamp, P. 2022. Interregional competition for mobile creative capital with and without physical capital mobility, International Regional Science Review, 45, 58-73. Batabyal, A.A., and Nijkamp, P. Eds. 2023. The Creative Class Revisited. World Scientific Publishing, Singapore. Bhat, S.A., and Huang, N. 2021. Big data and AI revolution in precision agriculture: Survey and challenges, IEEE Access, 9, 110209-110222. Brem, A., Giones, F., and Werle, M. 2023. The AI digital revolution in innovation: A conceptual framework of artificial intelligence technologies for the management of innovation, IEEE Transactions on Engineering Management, 70, 770-776. Calzada, I., Perez-Batlle, M., and Batlle-Montserrat, J. 2023. People-centered smart cities: An exploratory action research on the cities’ coalition for digital rights, Journal of Urban Affairs, 45, 1537-1562. Chain, C.P., dos Santos, A.C., de Castro, L. G., and do Prado, J.W. 2019. Bibliometric analysis of the quantitative methods applied to the measurement of industrial clusters, Journal of Economic Surveys, 33, 60-84. Cicerone, G., Faggian, A., Montressor, S., Rentocchini, F. 2023. Regional artificial intelligence and the geography of environmental technologies: Does local AI knowledge help regional green-tech specialization? Regional Studies, 57, 330-343. Crowley, F., and Doran, J. 2023. The geography of job automation in Ireland: What urban areas are most at risk? Annals of Regional Science, 71, 727-745. Czarnitzki, D., Fernandez, G., and Rammer, C. 2023. Artificial intelligence and firm-level productivity, Journal of Economic Behavior and Organization, 211, 188-205. Florida, R. 2002. The Rise of the Creative Class. Basic Books, New York, NY. Florida, R. 2005. The Flight of the Creative Class. Harper Business, New York, NY. Florida, R. 2006. The flight of the creative class: The new global competition for talent, Liberal Education, 92 22-29. Gonzales, J.T. 2023. Implications of AI innovation on economic growth: A panel data study, Journal of Economic Structures, 12, 13. Gries, T., and Naude, W. 2022. Modelling artificial intelligence in economics, Journal for Labour Market Research, 56, Article 12. Hedelind, M., and Jackson, M. 2011. How to improve the use of industrial robots in lean manufacturing systems, Journal of Manufacturing Technology Management, 22, 891-905. Jarrahi, M.H., Lutz, C., and Newlands, G. 2022. Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation, Big Data and Society, 9, 1-6. Korinek, A., and Stiglitz, J.E. 2021. Artificial intelligence, globalization, and strategies for economic development, NBER Working Paper 28453, Cambridge, MA. Leigh, N.G., Kraft, B., and Lee, H. 2020. Robots, skill demand, and manufacturing in the US regional labor markets, Cambridge Journal of Regions, Economy and Society, 13, 77-97. Leslie, D., and Rantisi, N.M. 2012. The rise of a new knowledge/creative economy: Prospects and challenges for economic development, class inequality, and work, in T.J. Barnes, J. Peck, and E. Sheppard, Eds., The Wiley‐Blackwell Companion to Economic Geography, 458-471, Wiley, Hoboken, NJ. Li, B., Jiang, F., Xia, H., and Pan, J. 2022. Under the background of AI application, research on the impact of science and technology innovation and industrial structure upgrading on the sustainable and high-quality development of regional economies, Sustainability, 14, 11331. Li, D., Pan, Z., Wang, D., and Zhang, L. 2023. A study on artificial intelligence orientation and new venture performance, Asia Pacific Business Review, 29, 967-989. Lin, S., Wang, M., Jing, C., Zhang, S., Chen, J., and Liu, R. 2024. The influence of AI on the economic growth of different regions in China, Scientific Reports, 14, 9169. Mankiw, N.G., Romer, D., and Weil, D.N. 1992. A contribution to the empirics of economic growth, Quarterly Journal of Economics, 107, 407-437. Moore, J.E. 1994. Time series and turning point forecasts: A comparison of associative memories and Bayesian econometric techniques applied to LeSage’s data, Journal of Regional Science, 34, 1-25. Openshaw, S. 1992. Some suggestions concerning the development of artificial intelligence tools for spatial modelling and analysis in GIS, Annals of Regional Science, 26, 35-51. Porter, A., and Batabyal, A.A. 2016. Physical capital mobility, the educational and quality aspects of creative capital, and output production, Regional Science Policy and Practice, 8, 167-175. Schintler, L.A., and McNeely, C.L. 2022. Artificial intelligence, institutions, and resilience: Prospects and provocations for cities, Journal of Urban Management, 11, 256-268. Shibusawa, H., Ding, L., and Haynes, K.E. 2008. The knowledge network and learning in a competitive environment: A learning region model, Studies in Regional Science, 38, 33-49. Sivramkrishna, S., and Panigrahi, R. 2003. Articulating uneven regional development: Artificial intelligence as a tool in development planning, Journal of Human Development, 4, 437-456. Sjodin, D., Parida, V., and Kohtamaki, M. 2023. Artificial intelligence enabling circular business model innovation in digital servitization: Conceptualizing dynamic capabilities, AI capacities, business models and effects, Technological Forecasting and Social Change, 197, 122903. Stavropoulos, S., van Oort, F.G., and Burger, M.J. 2020. Heterogeneous relatedness and firm productivity, Annals of Regional Science, 65, 403-437. Tariq, S., Iftikhar, A., Chaudhary, P., and Khurshid, K. 2023. Is the ‘technological singularity scenario’ possible? Can AI parallel and surpass all human mental capabilities? World Futures, 79, 200-266. Tolidis, K., and Dimopoulou, E. 2012. Addressing complex spatial decision problems in mountainous areas: The intelligent spatial decision support systems (SDSS) approach, Regional Science Inquiry, 4, 51-67. Zhang, W. 2008. Leisure, amenity, and capital accumulation in a multi-region model, Annals of Regional Science, 42, 183-207. Zhao, P., Gao, Y., and Sun, X. 2022. How does artificial intelligence affect green economic growth?---Evidence from China, Science of the Total Environment, 834, 155306. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/121328 |