Industrial Policy for Emerging Technologies: The Case of Narrow AI and the Manufacturing Value Chain as Blueprint for the Industrial Metaverse
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019.
"Economic Policy for Artificial Intelligence,"
Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2018. "Economic Policy for Artificial Intelligence," NBER Chapters, in: Innovation Policy and the Economy, Volume 19, pages 139-159, National Bureau of Economic Research, Inc.
- Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2018. "Economic Policy for Artificial Intelligence," Working Papers id:12823, eSocialSciences.
- Avi Goldfarb & Joshua Gans & Ajay Agrawal, 2018. "Economic Policy for Artificial Intelligence," Working Papers id:12798, eSocialSciences.
- Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2018. "Economic Policy for Artificial Intelligence," NBER Working Papers 24690, National Bureau of Economic Research, Inc.
- Gawer, Annabelle, 2014. "Bridging differing perspectives on technological platforms: Toward an integrative framework," Research Policy, Elsevier, vol. 43(7), pages 1239-1249.
- Padmore, Tim & Schuetze, Hans & Gibson, Hervey, 1998. "Modeling systems of innovation: An enterprise-centered view," Research Policy, Elsevier, vol. 26(6), pages 605-624, February.
- Ulrich Witt, 2003. "Economic policy making in evolutionary perspective," Journal of Evolutionary Economics, Springer, vol. 13(2), pages 77-94, April.
- Sotarauta, Markku & Srinivas, Smita, 2006. "Co-evolutionary policy processes: Understanding innovative economies and future resilience," MPRA Paper 52689, University Library of Munich, Germany.
- Daron Acemoglu & Pascual Restrepo, 2018.
"Artificial Intelligence, Automation, and Work,"
NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236,
National Bureau of Economic Research, Inc.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," NBER Working Papers 24196, National Bureau of Economic Research, Inc.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-298, Boston University - Department of Economics.
- Robert A. Mundell, 1962. "The Appropriate Use of Monetary and Fiscal Policy for Internal and External Stability," IMF Staff Papers, Palgrave Macmillan, vol. 9(1), pages 70-79, March.
- Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
- David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
- Beth‐Anne Schuelke‐Leech & Sara R. Jordan & Betsy Barry, 2019. "Regulating Autonomy: An Assessment of Policy Language for Highly Automated Vehicles," Review of Policy Research, Policy Studies Organization, vol. 36(4), pages 547-579, July.
- Padmore, Tim & Gibson, Hervey, 1998. "Modelling systems of innovation: II. A framework for industrial cluster analysis in regions," Research Policy, Elsevier, vol. 26(6), pages 625-641, February.
- Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
- Heiberger, Richard & Robbins, Naomi, 2014. "Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i05).
- Edward W. Felten & Manav Raj & Robert Seamans, 2018. "A Method to Link Advances in Artificial Intelligence to Occupational Abilities," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 54-57, May.
- Magro, Edurne & Wilson, James R., 2013. "Complex innovation policy systems: Towards an evaluation mix," Research Policy, Elsevier, vol. 42(9), pages 1647-1656.
- Giandomenico Majone, 2002. "The Precautionary Principle and its Policy Implications," Journal of Common Market Studies, Wiley Blackwell, vol. 40(1), pages 89-109, March.
- Bart van Liebergen, 2017. "Machine learning: A revolution in risk management and compliance?," Journal of Financial Transformation, Capco Institute, vol. 45, pages 60-67.
- Aghion, Philippe & David, Paul A. & Foray, Dominique, 2009.
"Science, technology and innovation for economic growth: Linking policy research and practice in 'STIG Systems',"
Research Policy, Elsevier, vol. 38(4), pages 681-693, May.
- David, Paul & Aghion, Philippe, 2008. "Science, Technology and Innovation for Economic Growth: Linking Policy Research and Practice in "STIG Systems"," MPRA Paper 12096, University Library of Munich, Germany.
- Wall, Larry D., 2018. "Some financial regulatory implications of artificial intelligence," Journal of Economics and Business, Elsevier, vol. 100(C), pages 55-63.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
- Pablo Casas & Concepción Román, 2024. "The impact of artificial intelligence in the early retirement decision," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(3), pages 583-618, August.
- Evans, Andrew J., 2025. "Methodological implications of using machine learning to estimate the impact of AI on the workforce," Technological Forecasting and Social Change, Elsevier, vol. 218(C).
- Xueyuan Gao & Hua Feng, 2023. "AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
- Wang, Huijuan & Ding, Lin & Guan, Rong & Xia, Yan, 2020. "Effects of advancing internet technology on Chinese employment: a spatial study of inter-industry spillovers," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
- Heluo, Yuxi & Fabel, Oliver, 2024. "Job computerization, occupational employment and wages: A comparative study of the United States, Germany, and Japan," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
- Guarascio, Dario & Reljic, Jelena & Stöllinger, Roman, 2023.
"Artificial Intelligence and Employment: A Look into the Crystal Ball,"
GLO Discussion Paper Series
1333, Global Labor Organization (GLO).
- Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series 2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Dario Guarascio & Jelena Reljic & Roman Stoellinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," Working Papers in Public Economics 243, Department of Economics and Law, Sapienza University of Rome.
- Anna-Maria Kanzola, 2024. "The Knowledge Content of the Greek Production Structure in the Aftermath of the Greek Crisis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 936-957, March.
- Laura S. Zilian & Stella S. Zilian & Georg Jäger, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-17, December.
- Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
- Alexander Cuntz & Carsten Fink & Hansueli Stamm, 2024. "Artificial Intelligence and Intellectual Property : An Economic Perspective," WIPO Economic Research Working Papers 77, World Intellectual Property Organization - Economics and Statistics Division.
- Zhu, Jun & Zhang, Jingting & Feng, Yiqing, 2022. "Hard budget constraints and artificial intelligence technology," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Alessandra Colombelli & Elettra D’Amico & Emilio Paolucci, 2023. "When computer science is not enough: universities knowledge specializations behind artificial intelligence startups in Italy," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1599-1627, October.
- Seamus McGuinness & Konstantinos Pouliakas & Paul Redmond, 2023.
"Skills-displacing technological change and its impact on jobs: challenging technological alarmism?,"
Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(3), pages 370-392, April.
- McGuinness, Seamus & Pouliakas, Konstantinos & Redmond, Paul, 2019. "Skills-Displacing Technological Change and Its Impact on Jobs: Challenging Technological Alarmism?," IZA Discussion Papers 12541, Institute of Labor Economics (IZA).
- Chun Song & Lionel J. Beaulieu & Indraneel Kumar & Roberto Gallardo, 2023. "COVID-19-Induced Automation: An Exploratory Study of Critical Occupations," Economic Development Quarterly, , vol. 37(2), pages 183-197, May.
- Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology 2020-02, Joint Research Centre.
- Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Wuest, Thorsten & Stahre, Johan, 2020. "Smart Maintenance: a research agenda for industrial maintenance management," International Journal of Production Economics, Elsevier, vol. 224(C).
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019.
"Economic Policy for Artificial Intelligence,"
Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2018. "Economic Policy for Artificial Intelligence," NBER Chapters, in: Innovation Policy and the Economy, Volume 19, pages 139-159, National Bureau of Economic Research, Inc.
- Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2018. "Economic Policy for Artificial Intelligence," NBER Working Papers 24690, National Bureau of Economic Research, Inc.
- Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2018. "Economic Policy for Artificial Intelligence," Working Papers id:12823, eSocialSciences.
- Avi Goldfarb & Joshua Gans & Ajay Agrawal, 2018. "Economic Policy for Artificial Intelligence," Working Papers id:12798, eSocialSciences.
- Cirillo, Valeria & Mina, Andrea & Ricci, Andrea, 2024.
"Digital technologies, labor market flows and training: Evidence from Italian employer-employee data,"
Technological Forecasting and Social Change, Elsevier, vol. 209(C).
- Valeria Cirillo & Andrea Mina & Andrea Ricci, 2024. "Digital Technologies, Labor market flows and Training: Evidence from Italian employer-employee data," LEM Papers Series 2024/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Matthias Firgo & Peter Mayerhofer & Michael Peneder & Philipp Piribauer & Peter Reschenhofer, 2018. "Beschäftigungseffekte der Digitalisierung in den Bundesländern sowie in Stadt und Land," WIFO Studies, WIFO, number 61633.
More about this item
Keywords
; ; ; ; ; ;JEL classification:
- A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
- B5 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches
- B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary; Modern Monetary Theory;
- H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
- M29 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Other
- O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
- Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
- Y4 - Miscellaneous Categories - - Dissertations
- Z1 - Other Special Topics - - Cultural Economics
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CSE-2024-08-26 (Economics of Strategic Management)
- NEP-HME-2024-08-26 (Heterodox Microeconomics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:121183. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/pra/mprapa/121183.html