Hermann Garden, D. Winickoff, N. Frahm, S. Pfotenhauer
{"title":"Responsible innovation in neurotechnology enterprises","authors":"Hermann Garden, D. Winickoff, N. Frahm, S. Pfotenhauer","doi":"10.1787/9685e4fd-en","DOIUrl":"https://doi.org/10.1787/9685e4fd-en","url":null,"abstract":"Novel neurotechnology offers significant potential for the promotion of health and economic growth. Spearheaded by large national and international flagship initiatives in brain science and fuelled by a clear medical need, research both in the public and private sector has made considerable strides towards novel neurotechnology, services and markets. At the same time, neurotechnology raises a range of unique ethical, legal, and policy questions that potential business models will have to address.\u0000This document is the result of analytical work on the opportunities and challenges of implementing responsibility frameworks into neurotechnology translation at major brain research initiatives and in the private sector. The report draws on: (1) the discussion at the BNCT workshop “Minding Neurotechnology: delivering responsible innovation for health and well-being”, 2018, Shanghai, People’s Republic of China; and (2) commentaries by workshop participants. The Workshop provided a forum for innovators to discuss strategies for delivering responsible innovation in neurotechnology.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128902679","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}
J. Guilhoto, G. Hewings, N. Johnstone, C. Webb, Norihiko Yamano
{"title":"Exploring changes in world production and trade","authors":"J. Guilhoto, G. Hewings, N. Johnstone, C. Webb, Norihiko Yamano","doi":"10.1787/6F9A10DC-EN","DOIUrl":"https://doi.org/10.1787/6F9A10DC-EN","url":null,"abstract":"Drawing on the 2018 update of OECD’s Inter-Country Input-Output (ICIO) database, this paper explores the evolution of trade in value added (TiVA) between 2005 and 2015. Changes in international production systems are examined with particular attention given to four key sectors heavily integrated into global value chains (GVCs): Textiles and Apparel; Chemicals; ICT and Electronics; and, Motor Vehicles. Some insights into the roles played by services sectors and non-residents’ expenditure and, the employment and environmental impacts of GVCs, are also provided.\u0000Considerable heterogeneity across countries and regions is revealed, particularly for East and Southeast Asian where China plays a key role. Services are increasingly important for manufactured exporting activities as well as for countries wishing to “upgrade” their activities to higher value added stages of production. Taking a consumption perspective suggests that national efforts to mitigate greenhouse gas (GHG) emissions could be affected by international outsourcing of production.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"320 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123248450","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}
Isabelle Desnoyers-James, Sara Calligaris, Flavio Calvino
{"title":"DynEmp and MultiProd: Metadata","authors":"Isabelle Desnoyers-James, Sara Calligaris, Flavio Calvino","doi":"10.1787/3DCDE184-EN","DOIUrl":"https://doi.org/10.1787/3DCDE184-EN","url":null,"abstract":"This report presents a new effort to collect comprehensive metadata for DynEmp and MultiProd, two OECD distributed microdata projects that collect information to analyse employment dynamics and productivity in a harmonised way across countries. It gives an overall description of both projects, presents the methodologies used for the data collection, summarises the main features of the data by country and provides further country-specific information.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129129779","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":"A taxonomy of digital intensive sectors","authors":"Flavio Calvino, Chiara Criscuolo, Luca Marcolin, Mariagrazia Squicciarini","doi":"10.1787/F404736A-EN","DOIUrl":"https://doi.org/10.1787/F404736A-EN","url":null,"abstract":"This study proposes a taxonomy of sectors according to the extent to which they have gone digital. The taxonomy accounts for some of the key facets of the digital transformation, and recognises that sectors differ in their development and adoption of the most advanced “digital” technologies, in the human capital needed to embed them in production and in the extent to which digital tools are used to deal with clients and suppliers. The indicators used to classify 36 ISIC revision 4 sectors over the period 2001-15 are: share of ICT tangible and intangible (i.e. software) investment; share of purchases of intermediate ICT goods and services; stock of robots per hundreds of employees; share of ICT specialists in total employment; and the share of turnover from online sales. The study further proposes an overall summary indicator of the digital transformation in sectors which encompasses all the considered dimensions.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131335002","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}
Giuseppe Berlingieri, Sara Calligaris, Chiara Criscuolo
{"title":"The productivity-wage premium","authors":"Giuseppe Berlingieri, Sara Calligaris, Chiara Criscuolo","doi":"10.1787/04e36c29-en","DOIUrl":"https://doi.org/10.1787/04e36c29-en","url":null,"abstract":"The literature has established two robust stylised facts: (i) the existence of a firm size-wage premium; and (ii) a positive relationship between firm size and productivity. However, the existing evidence is mainly based on manufacturing data only. With manufacturing nowadays accounting for a small share of the economy, whether productivity, size, and wages are closely linked, and how tight this link is across sectors, is still an open question. Using a unique micro-aggregated dataset covering the whole economy in 17 countries over 1994-2012, this paper compares these relationships across sectors. While the size-wage and size-productivity premia are significantly weaker in market services compared to manufacturing, the link between wages and productivity is stronger. The combination of these results suggests that, in a service economy the “size-wage premium” becomes more a “productivity-wage premium”. These results have first-order policy implications for both workers and firms.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124192770","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":"Measuring R&D tax support","authors":"Silvia Appelt, F. Galindo-Rueda, A. C. G. Cabral","doi":"10.1787/d16e6072-en","DOIUrl":"https://doi.org/10.1787/d16e6072-en","url":null,"abstract":"Investment in research and experimental development (R&D) is an important driver of innovation and economic growth. Over the past two decades, tax incentives have become a key policy instrument for promoting business R&D. This raises a number of policy questions: How has the role of tax incentives in the R&D support policy mix evolved across OECD countries and other major economies? How generous are tax relief provisions for different types of firms? How effective are they in stimulating business R&D investment? \u0000The OECD R&D Tax Incentives Database (http://oe.cd/rdtax) aims to contribute to the data infrastructure available to policy makers and researchers to examine the use and impact of R&D tax incentives across OECD countries and partner economies. This paper provides a practical guide to using this new database, describing the recently released R&D tax incentive data and highlighting their potential for internationally comparative work through descriptive indicators and econometric analysis.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121295897","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":"Industrial robotics and product(ion) quality","authors":"Timothy DeStefano, K. D. Backer, Jung Ran Suh","doi":"10.1787/0176c74c-en","DOIUrl":"https://doi.org/10.1787/0176c74c-en","url":null,"abstract":"The following report examines the importance of industrial robotics as a driver of production and trade quality. In an attempt to peer below the aggregate surface of traditional industrial GVC indicators, the paper relies on 6 digit product level trade data to assess the extent to which industrial robotics influence the quality of exported and imported goods for developed and emerging economies over the last two decades. The results demonstrate that robotics contribute to increasing quality of exports however the effect is somewhat nuanced between high income and emerging economies. For high-income countries the diffusion of robots is linked with an increase in within product quality, however for emerging economies quality gains appear to be somewhat more pronounced between products. At the same time, robotics appear to have little or no effect on import quality or on the concentration of exports and products for either type of economy.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122803981","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":"Targeting R&D intensity in Finnish innovation policy","authors":"M. Deschryvere, Kai Husso, A. Suominen","doi":"10.1787/51c767c9-en","DOIUrl":"https://doi.org/10.1787/51c767c9-en","url":null,"abstract":"Finland has been setting research and development (RD b) a balanced innovation system with well-working joint public-private partnership efforts and mechanisms will do better in absorbing shocks; c) a key strategy to absorb shocks to the economy and society is to invest in long-term capabilities. This study also provides an overview of the factors influencing the level of R&D intensity. The current 4% target to be reached by 2030 was set in 2019 but thus far relatively few policy actions have been introduced to operationalise it. With these dynamics and uncertainty, it remains to be seen if the target will be reached by 2030.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128449756","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
{"title":"Can firm micro data match macro trends?","authors":"Matěj Bajgar, Giuseppe Berlingieri, Sara Calligaris, Chiara Criscuolo","doi":"10.1787/2b0ac915-en","DOIUrl":"https://doi.org/10.1787/2b0ac915-en","url":null,"abstract":"Better understanding about the drivers of aggregate productivity and wage inequality requires data that offer a representative picture of the underlying firm-level heterogeneity but are, at the same time, able to reproduce patterns observed in aggregate data. The OECD MultiProd project aims to generate such data by collaborating with a network of national experts who apply a harmonised statistical code to representative business microdata across a large number of countries. This paper compares the project’s output to the OECD STAN database to test to what extent MultiProd data can be taken as reflecting the aggregate economies in question, and if they are able to reproduce patterns observed in aggregate data across years, industries and countries. The results suggest that (1) MultiProd captures a major part of gross output, value added and employment in most of the countries covered; and (2) MultiProd reproduces aggregate patterns relatively well, with median correlations over time, across industries and across countries between 0.75.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134209153","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. Jolly, J. Jolliffe, C. Postlethwaite, E. Heslop
{"title":"Value chains in public marine data","authors":"C. Jolly, J. Jolliffe, C. Postlethwaite, E. Heslop","doi":"10.1787/d8bbdcfa-en","DOIUrl":"https://doi.org/10.1787/d8bbdcfa-en","url":null,"abstract":"Marine data play a crucial role for many scientific disciplines, as well as for very diverse operational services such as fisheries management, environmental planning, marine conservation, weather forecasting, or port management. The information derived from marine data is also increasingly finding its way into a wide and varied range of public policy arenas and private industries. Collecting, distributing and archiving public marine data provide benefits to society at large, however as with all public investments, assessments are needed to provide evidence to decision makers. Based on an original survey of UK marine data users, this paper explores pathways through which marine data are used and transformed into actionable information, creating systematised value chains for the first time. The analysis unveils trends in current marine data uses in the UK and key benefits of data uses. The paper lays the foundations for further OECD work with the marine data community.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134614457","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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