Completed
In recent decades, production processes of final products have been increasingly fragmented across countries in what are called global value chains. While National Statistical Organizations collect a great deal of information on economic performance, trade, employment, and foreign direct investment, this information cannot always be used to quantify the international linkages and flows that characterize these cross-border transactions, especially those related to research and development (R&D) or software. NASEM held a workshop to address measurement needs and related gaps in the theory on globalization of R&D and published a proceedings volume summarizing the workshop discussions.
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Workshop
·2022
In recent decades, production processes of intermediate and final products have been increasingly fragmented across countries in what are called global value chains (GVCs). GVCs may involve companies in one country outsourcing stages of production to unrelated entities in other countries, multinatio...
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Description
To inform the work of the Innovation Policy Forum, an ad hoc planning committee under the oversight of the Board on Science, Technology, and Economic Policy (STEP), in cooperation with the Committee on National Statistics (CNSTAT), will organize a two-day workshop to improve the understanding, measurement, and valuation of global value chains. A global value chain is a network of financially-independent companies located around the world involved in the production of a good or service and its global level supply, distribution, and post-sales activities. Drawing on the expertise of recognized experts on economics, industrial organization, trade, other social sciences; accounting and taxation of multinational enterprises; and statistics, along with the perspectives of personnel of national statistical offices, the workshop participants will:
- explore efforts already under way to address gaps in national statistical systems with respect to the impact of global value chains;
- offer perspectives on the highest priority efforts needed to improve supply- and value-chain data;
- consider how to modify statistical systems to gather and incorporate the improved data; and
- suggest ways to help the system respond to ongoing and future changes in the structure and organization of the economy.
The committee will commission original research papers as background for the workshop. A proceedings of the presentations and discussions at the workshop will be prepared by a designated rapporteur in accordance with institutional guidelines.
Collaborators
Committee
Co-Chair
Co-Chair
Member
Member
Member
Member
Member
Member
Member
Gail Cohen
Staff Officer
Sponsors
National Center for Science and Engineering Statistics, within the National Science Foundation
Staff
Gail Cohen
Lead
Connie Citro
David Dierksheide
Major units and sub-units
Center for Health, People, and Places
Lead
Policy and Global Affairs
Lead
Division of Behavioral and Social Sciences and Education
Collaborator
U.S. Science and Innovation Policy
Lead
Board on Science, Technology, and Economic Policy
Lead
Social and Economic Systems Program Area
Lead
Committee on National Statistics
Collaborator