{"title":"The Impacts of Blockchain on Innovation Management: Sectoral Experiments","authors":"Patricia Baudier, Victor I. Chang, M. Arami","doi":"10.3917/jie.037.0001","DOIUrl":"https://doi.org/10.3917/jie.037.0001","url":null,"abstract":"","PeriodicalId":151329,"journal":{"name":"Journal of Innovation Economics & Management","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127258343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"H. Kent Baker, Ehsan Nikbakht, Sean Stein Smith (2021), The Emerald Handbook of Blockchain for Business, Bingley, UK, Emerald Publishing Limited, 464 p.","authors":"Patricia Baudier","doi":"10.3917/jie.037.0205","DOIUrl":"https://doi.org/10.3917/jie.037.0205","url":null,"abstract":"","PeriodicalId":151329,"journal":{"name":"Journal of Innovation Economics & Management","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133798302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Investigating the relation between artificial intelligence, robots and unemployment on a panel of 33 OECD countries covering the 2005—2017 period, we find that a 10% increase in the stock of industrial robots is associated with a 0.42 point increase in the unemployment rate. For artificial intelligence (AI), we use patents as a proxy of AI-related technological capabilities and find a positive correlation with the aggregated unemployment rate, albeit statistically weaker than the one found for robots. We then run the regressions on unemployment rates differentiated by education and age, and observe highly heterogeneous effects between groups. For example, the effect of robots is 2.5 times greater for 25-34 year-olds below upper secondary education levels than for the 55-64 year-olds with a tertiary degree. Lastly, the effect of robots is strongest on the unemployment rate of people with a medium level of education, providing some evidence that robots could contribute to the polarization of the labor market. A similar effect is found with AI, but the results are less robust than for robots.
{"title":"Artificial Intelligence, Robots and Unemployment: Evidence from OECD Countries","authors":"Florent Bordot","doi":"10.3917/jie.037.0117","DOIUrl":"https://doi.org/10.3917/jie.037.0117","url":null,"abstract":"Investigating the relation between artificial intelligence, robots and unemployment on a panel of 33 OECD countries covering the 2005—2017 period, we find that a 10% increase in the stock of industrial robots is associated with a 0.42 point increase in the unemployment rate. For artificial intelligence (AI), we use patents as a proxy of AI-related technological capabilities and find a positive correlation with the aggregated unemployment rate, albeit statistically weaker than the one found for robots. We then run the regressions on unemployment rates differentiated by education and age, and observe highly heterogeneous effects between groups. For example, the effect of robots is 2.5 times greater for 25-34 year-olds below upper secondary education levels than for the 55-64 year-olds with a tertiary degree. Lastly, the effect of robots is strongest on the unemployment rate of people with a medium level of education, providing some evidence that robots could contribute to the polarization of the labor market. A similar effect is found with AI, but the results are less robust than for robots.","PeriodicalId":151329,"journal":{"name":"Journal of Innovation Economics & Management","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128719621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Economics of the Frugal Direction of Technological Change: New Paradigm Frame, Induced Direction Models and Demand Side Approaches","authors":"C. Le Bas","doi":"10.3917/jie.pr1.0118","DOIUrl":"https://doi.org/10.3917/jie.pr1.0118","url":null,"abstract":"","PeriodicalId":151329,"journal":{"name":"Journal of Innovation Economics & Management","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130708999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Vernier, N. Arfaoui, Sandra Challita, P. Lanoie, Sylvain Plouffe
{"title":"Factors Influencing Profitability in Eco-design: Lessons from European and Canadian Firms","authors":"M. Vernier, N. Arfaoui, Sandra Challita, P. Lanoie, Sylvain Plouffe","doi":"10.3917/jie.pr1.0117","DOIUrl":"https://doi.org/10.3917/jie.pr1.0117","url":null,"abstract":"","PeriodicalId":151329,"journal":{"name":"Journal of Innovation Economics & Management","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123476551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Distribution électronique Cairn.info pour De Boeck Supérieur. La reproduction ou représentation de cet article, notamment par photocopie, n'est autorisée que dans les limites des conditions générales d'utilisation du site ou, le cas échéant, des conditions générales de la licence souscrite par votre établissement. Toute autre reproduction ou représentation, en tout ou partie, sous quelque forme et de quelque manière que ce soit, est interdite sauf accord préalable et écrit de l'éditeur, en dehors des cas prévus par la législation en vigueur en France. Il est précisé que son stockage dans une base de données est également interdit. Article disponible en ligne à l’adresse https://www.cairn.info/revue-journal-of-innovation-economics-2021-3-page-1.htm
{"title":"Paradox, Articulation, and Issues in the Transition from Creativity to Innovation","authors":"G. Parmentier, Thomas Paris, Romain Gandia","doi":"10.3917/jie.036.0001","DOIUrl":"https://doi.org/10.3917/jie.036.0001","url":null,"abstract":"Distribution électronique Cairn.info pour De Boeck Supérieur. La reproduction ou représentation de cet article, notamment par photocopie, n'est autorisée que dans les limites des conditions générales d'utilisation du site ou, le cas échéant, des conditions générales de la licence souscrite par votre établissement. Toute autre reproduction ou représentation, en tout ou partie, sous quelque forme et de quelque manière que ce soit, est interdite sauf accord préalable et écrit de l'éditeur, en dehors des cas prévus par la législation en vigueur en France. Il est précisé que son stockage dans une base de données est également interdit. Article disponible en ligne à l’adresse https://www.cairn.info/revue-journal-of-innovation-economics-2021-3-page-1.htm","PeriodicalId":151329,"journal":{"name":"Journal of Innovation Economics & Management","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132545411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michelle Mongo, V. Laforest, F. Belaîd, Audrey Tanguy
The circular economy is entirely in line with the European Commission’s long-term strategy aimed at moving toward an economy without any climate impact by 2050 (European Commission, 2018). Yet, to our knowledge, there is little work that analyzes the impact of the circular economy on CO2 emissions in Europe. The objective of this study is to analyze, at the level of the European Union (EU-15), the impact of the circular economy on CO2 emissions using an Autoregressive-Distributed Lag model (ARDL). The results of the study over the period 2000-2015 show that, in the long term, circular economy practices tend to reduce CO2 emissions, while in the short term, the effect is the opposite. The short-term results also question the modalities of our economic growth and the need to find a consensus between “efficiency and sufficiency” in order to limit resource consumption and CO2 emissions.
{"title":"Assessment of the Impact of the Circular Economy on CO2 Emissions in Europe","authors":"Michelle Mongo, V. Laforest, F. Belaîd, Audrey Tanguy","doi":"10.3917/jie.pr1.0107","DOIUrl":"https://doi.org/10.3917/jie.pr1.0107","url":null,"abstract":"The circular economy is entirely in line with the European Commission’s long-term strategy aimed at moving toward an economy without any climate impact by 2050 (European Commission, 2018). Yet, to our knowledge, there is little work that analyzes the impact of the circular economy on CO2 emissions in Europe. The objective of this study is to analyze, at the level of the European Union (EU-15), the impact of the circular economy on CO2 emissions using an Autoregressive-Distributed Lag model (ARDL). The results of the study over the period 2000-2015 show that, in the long term, circular economy practices tend to reduce CO2 emissions, while in the short term, the effect is the opposite. The short-term results also question the modalities of our economic growth and the need to find a consensus between “efficiency and sufficiency” in order to limit resource consumption and CO2 emissions.","PeriodicalId":151329,"journal":{"name":"Journal of Innovation Economics & Management","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124095016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}