This paper examines the extent, reasons and impacts of excess capacity in the global steel industry, as well as the implications of new investment projects that continue to take place at a rapid pace in many parts of the world. By focusing on new investment projects, this study intends to help governments and industry better understand the extent to which global steelmaking excess capacity may evolve in the future.
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“Inclusive innovation” projects are initiatives that directly serve the welfare of lower-income and excluded groups. Inclusive innovations often modify existing technologies, products or services to better meet the needs of those groups.
This event, to be held on 10-12 February 2015 in New Delhi, will be a forum for high-level discussion and policy exchange among stakeholders concerned with the question of how innovation can best serve inclusive development.
OECD countries are developing strategies to improve the quality of life of those affected by dementia and to support long-term efforts for a disease-modifying therapy or cure. The OECD jointly hosted an international workshop in Toronto with the Ontario Brain Institute (OBI) and the Institute of Health Policy, Management and Evaluation (IHPME), University of Toronto on 14-15 September 2014. The aim of the workshop was to advance international discussion of the opportunities and challenges, as well as successful strategies, for sharing and linking the massive amounts of population-based health and health care data that are routinely collected (broad data) with detailed clinical and biological data (deep data) to create an international resource for research, planning, policy development, and performance improvement. The workshop brought together leading researchers and academics, industry and non-government experts to provide new insights into the opportunities and challenges in making “broad and deep” data a reality – from funding to data standards, to data sharing, to new analytics, to protecting privacy, and to engaging with stakeholders and the public. Government leadership and public-private partnership will be needed to create and sustain big data resources, including financing for data infrastructure and incentives for data sharing.
This project has reviewed how current measurement frameworks capture the broad range of innovation activities in firms, and in particular how design activities are reflected. It highlights which concepts, definitions and measurement approaches can be used to produce policy-relevant indicators on the role of design in innovation.
This working paper sums up the main findings of an OECD project aiming to provide an evidence basis for focusing efforts to improve the measurement of technological and non-technological forms of business innovation, with particular focus on the role of design. It reviews a broad range of novel design-related measures, indicating their advantages and limitations in terms of policy relevance and insights.
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The growing gap between global steelmaking capacity and demand has led to a deterioration in the financial situation of steelmakers, and has raised concerns about the longer-term economic viability and efficiency of the industry. Although excess capacity has increased significantly since the financial crisis, and despite slowing demand growth in global markets, new investment projects continue in many parts of the world.
The OECD Directorate for Science, Technology and Innovation (DSTI) manages databases of internationally comparable statistics. These statistics and indicators underpin policy-related analytical work, particularly with respect to links between technology, competitiveness and globalisation. DSTI also plays a leading role in the development of international statistical standards in the STI area.
The Korean shipbuilding industry is one of the top global players, leading by value and second only to China by volume. However, the global economic crisis has dented its finances and it now faces serious challenges to set itself back on a solid footing.
This working paper describes the potential of the proliferation of new sources of large volumes of data, sometimes also referred to as "big data", for informing policy making in several areas. It also outlines the challenges that the proliferation of data raises for the production of official statistics and for statistical policies.