Comments on Laura Alfaro and Maggie Chen, The Global Agglomeration of Multinational Firms Michael J....
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Transcript of Comments on Laura Alfaro and Maggie Chen, The Global Agglomeration of Multinational Firms Michael J....
Comments on Laura Alfaro and Maggie Chen,
The Global Agglomeration of Multinational Firms
Michael J. FerrantinoU.S. International Trade Commission
prepared for the Washington Area International Trade Symposium,
March 11, 2011
These comments represent solely the views of the author. They do not represent the views of the U.S. International Trade Commission or any of its Commissioners.
These are powerful tools for understanding co-agglomeration of industries,
• But they’re computationally intensive:– “Repeating the procedure each time (as we examine,
respectively, MNC headquarters, subsidiaries, subsidiary employment, and domestic plants) requires approximately one month of computing time utilizing 2 quad core 3.00 GHz processors and Windows 64-bit systems.”
• We hope for computational advances in the future!– Or at least ways to mine the output generated in this process
My wish list• Add services
– Co-agglomeration might be high with finance, insurance, business services
• Try scales a lot smaller than 200 km– This is a nice scale for doing economic history and path
dependence– Policymakers trying to exploit agglomeration want to focus on
areas a lot smaller than 200 km• Can we differentiate between co-agglomeration in
different regions?– E.g. NW Europe, the Rio Grande, ASEAN
Interesting findings• Knowledge and capital complementarity seem to be the
strongest Marshallian forces• Many sectors co-agglomerate with publishing and
printing– Is this path dependence associated with Gutenberg?– Or is software in the relevant SICs?
• What are the intuition behind the industry pairs with high co-agglomeration?– I understand “Footwear” with “Boot and Shoe Stock and
Findings” but not most of the others– Understanding the forces would help in designing policies
Do “knowledge spillovers” vary in their intensity by the kind of industry or
knowledge relationship?• Typology of innovation networks in Powell and Grodal (2005)
– Primordial (common social identity, craft based)• Hollywood, and Italian shoe districts (Rabellotti and others) – smaller
than a province, especially at the specialization level– Strategic (purposive) – biotech/venture capital/pharma
• Case study?– Supply chain (horizontal specialization) –these could be huge
geographically (Factory Asia) but also localized • See Hiratsuka 2005 on the Baldwin example of a disk drive in
Thailand– Invisible college (research collaboration, fast access to news and novelty)
• WAITS participants came from a few kilometers radius