Dario Diodato, Frank Neffke, and Neave O’Clery (2018), Journal of Urban Economics Vol.106. 1-26.
The fact that firms benefit from close proximity to other firms with which they can exchange inputs, skilled labor or know-how helps explain why many industrial clusters are so successful. Studying the evolution of coagglomeration patterns, we show that the type of agglomeration that benefits firms has drastically changed over the course of a century and differs markedly across industries. Whereas, at the beginning of the twentieth century, industries tended to colocate with their value chain partners, in more recent decades the importance of this channel has declined and colocation seems to be driven more by similarities in industries’ skill requirements. By calculating industry-specific Marshallian agglomeration forces, we are able to show that, today, skill-sharing is the most salient motive behind the location choices of services, whereas value chain linkages still explain much of the colocation patterns in manufacturing. Moreover, the estimated degrees to which labor and input-output linkages are reflected in an industry’s coagglomeration patterns help improve predictions of city-industry employment growth.
Dario Diodato, Franco Malerba, and Andrea Morrison (2018), European Economic Review Vol.101. 297-329.
Change in industrial leadership is often explained in terms of technological and costs advantages. However firms in emerging economies not only have to produce high quality, cost-competitive goods, but also win the resistance of consumers in the world market, who are often adverse to purchasing products from countries that yet have to build a reputation. We argue that this country-of-origin bias significantly influences the chances of leadership change.
A model that aims at capturing the endogenous dynamics of demand building and leapfrogging is proposed. We show that in sectors with high monopoly power acquiring a superior technology is not sufficient for a latecomer country to become leader, unless a significant share of consumers is aware of the quality of its products. An extension of the model to multiple sectors shows that a latecomer country remains specialized into low-value undifferentiated goods, even after overtaking the technology of the leading country.
Dario Diodato and Anet Weterings (2015), Journal of Economic Geography Vol.15-4. 723-742.
To date, theoretical and empirical insights in the determinants of regional resilience are still limited. Using a model, we explore how three regional factors jointly contribute to the resilience of regional labour markets to economic shocks. The localization of the supply network (1) is used to model the propagation of the shock, while possibilities for intersectoral (2) and interregional labour mobility (3) to analyse the recovery. An application of the model to Dutch data suggests that labour markets in centrally located and service-oriented regions have, on average, a higher recovery speed, irrespective of the type of shock hitting the economy.
Martijn Burger, Mark Thissen, Frank van Oort, and Dario Diodato (2014), Spatial Economic Analysis Vol.9-3. 231-259.
Using a newly assembled, consistent and disaggregated dataset (12 goods and 7 services) on internal and bilateral trade for 25 European countries, we analyse the difference between trade in goods and services. The measurement of both trade in goods and trade in services is improved over earlier research, allowing us to compare trade in goods and services in a coherent and systematic way. First, our dataset is made consistent with the domestic demand and production and the total exports and imports at the sector and product levels. Second, we explicitly control for re-exports. We find that, although goods are more often bilaterally traded than services, the volume of bilateral trade in services does not attenuate less with distance than the volume of bilateral trade in goods.