Relatore ospite: Tim Sturgeon, MIT Industrial Performance Center (IPC)
Global Value Chains. Perception, Reality and Measurement
Rita Cappariello, Banca d’Italia – FAQ on GVCs: Some Answers from the Global I-O Tables Approach.
Silvia Nenci, Università Roma Tre – From Perception to Research and Decision Making: Trade in value added and GVC indicators.
Anna Giunta, Università Università Roma Tre
Tim Sturgeon, MIT Industrial Performance Center (IPC), Global Value Chains and Economic Globalization. Towards a New Measurement Framework. Report to Eurostat, 2013
Abstract. There is broad agreement that the world economy is becoming more deeply integrated and interdependent along multiple dimensions: economic, cultural and political. While one might expect cultural or political integration to be difficult to measure with precision, global economic integration has also proven resistant to detailed quantification and empirical characterization. We have a strong sense of profound changes in the world economy, and see signs of it everywhere, but cannot fully describe the new patterns and structures that are taking shape, not least because the official statistics at our easy disposal were created for other purposes and in simpler times.
Economic globalization is a dynamic, long-term historical process that ebbs and flows, waxes and wanes, and changes its character and extent over time, all with profound effects on countries in the trading system. Advances in information technology, better codification schemes, and improvements in transport and logistics increase the potential for the geographical fragmentation of work. Because of this, the potential for economic globalization appears to be increasing rapidly.
As it becomes more likely that value chains in large, economically important enterprises and industries will be spread across multiple countries, it is more difficult to conceive of national industries as self-contained systems and national economic performance as endogenous. The measurement and policy challenges posed by these changes are nontrivial. Thus, it is essential that the statistical resources to fully characterize and better respond to the process of economic globalization be put in place as soon as possible.
After an extended background discussion that maps the shift from simple internationalization to the more complex patterns of economic globalization that are developing today, Part I provides a conceptual framework for determining the data resources required, centered on Global Value Chains. Part II provides an assessment of existing and experimental resources in the European statistical system and identifies the data gaps. Part III emphasizes the use of micro-data resources as part of a plan for moving forward while expending the least resources. Part IV provides a vision for moving forward and a list of priorities and is followed by some concluding remarks.
Timothy J. Sturgeon came to MIT from the University of California at Berkeley, where he was a Research Specialist at the Berkeley Roundtable on the International Economy for five years while earning his PhD in Economic Geography. He is co-organizer of the Global Value Chains Initiative and a Research Fellow at the Institute for Technology, Enterprise, and Competitiveness at the Doshisha Management School in Kyoto, Japan. Dr. Sturgeon has also been a Research Associate at MIT, and has served as Executive Director of the IPC’s Globalization Study and the Globalization Research Director for the International Motor Vehicle Program at the Center for Technology, Policy and Industrial Development.
Dr. Sturgeon’s research focuses on the process of global integration, with an emphasis on offshoring and outsourcing practices in the electronics and automotive industries. He is interested in both the distinctive and common aspects of industries and places, and the implications of these for economic performance, employment, technological learning, and industrial upgrading. He has made significant contributions to Global Value Chain (GVC) theory, and is working to improve the metrics and methods available for globalization research.