{"title":"A portrait of AI adopters across countries","authors":"","doi":"10.1787/0fb79bb9-en","DOIUrl":"https://doi.org/10.1787/0fb79bb9-en","url":null,"abstract":"","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"95 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128992230","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":"Identifying artificial intelligence actors using online data","authors":"","doi":"10.1787/1f5307e7-en","DOIUrl":"https://doi.org/10.1787/1f5307e7-en","url":null,"abstract":"","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"63 25","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131873377","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":"Identifying and characterising AI adopters","authors":"","doi":"10.1787/154981d7-en","DOIUrl":"https://doi.org/10.1787/154981d7-en","url":null,"abstract":"","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134453907","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":"Quantifying industrial strategies (QuIS)","authors":"","doi":"10.1787/ae351abf-en","DOIUrl":"https://doi.org/10.1787/ae351abf-en","url":null,"abstract":"","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117027223","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":"Methodology for estimation of Energy Physical Supply and Use Tables based on IEA's World Energy Balances","authors":"","doi":"10.1787/d3058f43-en","DOIUrl":"https://doi.org/10.1787/d3058f43-en","url":null,"abstract":"","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115422001","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":"Intangibles and industry concentration","authors":"Matěj Bajgar, Chiara Criscuolo, Jon Timmis","doi":"10.1787/ce813aa5-en","DOIUrl":"https://doi.org/10.1787/ce813aa5-en","url":null,"abstract":"This paper presents new evidence on the growing scale of big businesses in the United States, Japan, and Europe. It finds broad evidence of rising industry concentration across the majority of countries and sectors over the period 2002 to 2014. Rising concentration is strongly associated with intensive investment in intangibles, particularly innovative assets, software, and data. This relationship appears to be stronger in more globalised and digital-intensive industries. The results are consistent with intangibles disproportionately benefiting large firms and enabling them to scale up and increase market shares. We find nuanced implications of these new business models for competition – rising markups and reduced churning amongst the top firms, but falling industry prices.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127724203","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}
C. Corrado, Chiara Criscuolo, J. Haskel, A. Himbert, C. Jona-Lasinio
{"title":"New evidence on intangibles, diffusion and productivity","authors":"C. Corrado, Chiara Criscuolo, J. Haskel, A. Himbert, C. Jona-Lasinio","doi":"10.1787/de0378f3-en","DOIUrl":"https://doi.org/10.1787/de0378f3-en","url":null,"abstract":"This paper presents new evidence on the impact of intangible capital on productivity dispersion within industries. It first shows that rise in productivity dispersion after 2000 is more pronounced in intangible-intensive industries; then analyses the link between intangible capital intensity and productivity dispersion both at the top and at the bottom of the productivity distribution, and in different industries. The findings suggest that industries that have experienced a stronger increase in intangible investment have also seen a steeper rise in productivity dispersion both at the top and at the bottom of the productivity distribution. While the results at the top seem to be associated with the scalability of intangible capital – which is likely to disproportionally benefit high-productivity firms and incumbents – dispersion at the bottom appears to be linked to complementarities between intangible investment and factors like digital intensity, trade openness and venture capital.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"122 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123247533","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}
Chiara Criscuolo, A. Hijzen, M. Koelle, Cyrille Schwellnus, Erling Barth, Wen-Hao Chen, R. Fabling, Priscilla Fialho, Alfred Garloff, Katharzyna Grabska, Ryo Kambayashi, Valerie Lankester, Balázs Muraközy, O. N. Skans, Satu Nurmi, Balazs Stadler, R. Upward, Wouter Zwysen
{"title":"The firm-level link between productivity dispersion and wage inequality","authors":"Chiara Criscuolo, A. Hijzen, M. Koelle, Cyrille Schwellnus, Erling Barth, Wen-Hao Chen, R. Fabling, Priscilla Fialho, Alfred Garloff, Katharzyna Grabska, Ryo Kambayashi, Valerie Lankester, Balázs Muraközy, O. N. Skans, Satu Nurmi, Balazs Stadler, R. Upward, Wouter Zwysen","doi":"10.1787/4C6131E3-EN","DOIUrl":"https://doi.org/10.1787/4C6131E3-EN","url":null,"abstract":"Differences in average wages across firms – which account for around one-half of overall wage inequality – are mainly explained by differences in firm wage premia (the part of wages that depends exclusively on characteristics of firms) rather than workforce composition. Using a new cross-country dataset of linked employer-employee data, this paper investigates the role of cross-firm dispersion in productivity in explaining dispersion in firm wage premia, as well as the factors shaping the link between productivity and wages at the firm level. The results suggest that around 15% of cross-firm differences in productivity are passed on to differences in firm wage premia. The degree of pass-through is systematically larger in countries and industries with more limited job mobility, where low-productivity firms can afford to pay lower wage premia relative to high-productivity ones without a substantial fraction of workers quitting their jobs. Stronger product market competition raises pass-through while more centralised bargaining and higher minimum wages constrain firm-level wage setting at any given level of productivity dispersion. From a policy perspective, the results suggest that the key priority should be to promote job mobility, which would reduce wage differences between firms while easing the efficient reallocation of workers across them.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121455839","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}
Matěj Bajgar, Giuseppe Berlingieri, Sara Calligaris, Chiara Criscuolo, Jon Timmis
{"title":"Coverage and representativeness of Orbis data","authors":"Matěj Bajgar, Giuseppe Berlingieri, Sara Calligaris, Chiara Criscuolo, Jon Timmis","doi":"10.1787/c7bdaa03-en","DOIUrl":"https://doi.org/10.1787/c7bdaa03-en","url":null,"abstract":"This paper describes the coverage and representativeness of Orbis, a commercial database of firm-level records across many countries. Such databases can provide key insights into global economic trends and shed light on how policies affect firms within and across countries. As a benchmark, the paper uses industry-level data from the OECD STAN dataset as well as micro-aggregated data from the OECD MultiProd and DynEmp projects, which draw on official microdata representative of the entire firm population. Results indicate that Orbis is more suitable for studies that: i) take a global perspective rather than make comparisons across countries; ii) analyse top performers and multinationals rather than underperforming firms; and iii) focus on mean performance or changes within firms rather than the entire firm distribution or entry and exit.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127579342","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":"Global value chains and the shipbuilding industry","authors":"Karin Gourdon, C. Steidl","doi":"10.1787/7e94709a-en","DOIUrl":"https://doi.org/10.1787/7e94709a-en","url":null,"abstract":"This paper provides an initial assessment of the shipbuilding industry in the context of global value chains by presenting new descriptive evidence on value added generation and sourcing patterns of intermediate inputs for ship construction of major shipbuilding economies. The findings reveal that shipbuilding relies heavily on intermediate inputs as around 70-80% of the final output value of ship production is generated through supplier sectors. Concerning sourcing activity, China appears to be the most self-sufficient among the four jurisdictions studied, followed by Japan and the EU28, while Korea seems to be more globally integrated. The analysis also explores variations among the four economies in the cost structure of shipbuilding inputs, which might partly be explained by differences in the ship types produced.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"14 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134120867","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}
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