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8th European Meeting on Applied Evolutionary Economics (EMAEE), 10th-12th June 2013, SKEMA Business School (France)
von Tony Irawan
The 8th European Meeting on Applied Evolutionary Economics (EMAEE) was held at the SKEMA Business School, Sophia Antipolis, France, from 10th June to 12th June 2013. EMAEE provides the opportunity for junior researchers, particularly PhD students and post-docs, to discuss the most up-to-date topics and methods in the field of applied evolutionary economics.
SKEMA Business School has five campuses in three countries. It operates not only in France (Lille, Paris La Defense, and Sophia Antipolis), but also in China (Suzhou) and the United States (Raleigh, North Carolina). Sophia Antipolis Campus is located in France Science Park which has 1300 companies in innovative sectors such as Information and Communication Technology and bio-technology. We could reach the campus by bus services from Nice (about 40 minutes). Nice is one of the most beautiful tourism cities with beautiful beaches, an old centre, and flexible access to other tourism cities such as Monaco, Antibes, and Cannes.
On the first day, I attended two plenary sessions from 2 (two) distinguish speakers, namely Bronwyn Hall from University of California at Berkeley and Giorgio Fagiolo from Sant’Anna School of Advanced Studies. Bronwyn Hall presented the utilization of patent data as indicators. She argued that even though patent data has several weaknesses, but it is still useful as a measure of innovative output and provides information about the links between output and knowledge. She suggested that patents should not be assumed as a stable measure of innovative output. Patent data users should understand clearly how and why patents are taken out, how patents are administered, and how patents are enforced. Moreover, she also presented the differences between patents and patent families. A patent is a single document with coverage over a specific region. Meanwhile, a patent family is a collection of documents from different patent offices with coverage of the same invention. Bronwyn Hall also addressed another common question regarding the patent data which is how we choose patent data. She argued that an individual patent is appropriate to analyze application, grant, opposition or litigation behavior. Meanwhile, a patent family is appropriate to analyze invention.
Giorgio Fagiolo presented a different aspect of evolutionary economics. He focused on the macroeconomic networks modeling strategies. He showed the strategy to analyze three examples of macro networks, namely trade, finance and migration. He argued that the standard economic model (gravity model) predicts weighted assortativity correctly in terms of international trade when we fix the binary structure. However, the gravity model fails to predict weighted assortativity correctly when the binary structure must be estimated. In the second day, Robert Axtell from George Mason University presented very interesting findings on team dynamics and the empirical structure of US firms. Instead of using the theory in order to build a model on the structure of US firms, he described the data on the universe of US firms and built a model based on the data. Moreover, he also used an agent-based model at 1-to-1 scale with the US economy. He found that job switching and firm formation occur for economic reasons. However, the microeconomic level is not in equilibrium.
On the last day of conference, I attended two plenary sessions from Maryann Feldman (University of North Carolina at Chapel Hill) and Bart Verspagen (Maastricht University). The 8th European Meeting on Applied Evolutionary Economics (EMAEE) also had 6 parallel sessions. The coverage of topics is quite wide, including entrepreneurship, financial markets, environmental innovation, labor market dynamics, and growth in emerging countries.