Deliverables
Exploring new methods of modelling production, taking into account the network structure of production chains as well as the increasing importance of intangible capital in the production.
Looking at how a trade shock impacts the distribution of firms’ productivity across EU regions and, from here, the wage dispersion and thus inequality.
Understanding how firms can integrate into GVCs and what can they benefit from them. We use two approaches and datasets to investigate this question by conducting qualitative surveys, linked to financial data to measure ownership, ICT intensity and international activities in a number of countries; Using these data to investigate the factors usually identified as engine of productivity at the firm-level (size, organisation, technological capacity, access to credit), but also at the institutional macro-level (e.g. labour market regulations, education/skills availability, product market access).
A detailed PEDR, building on the draft dissemination and exploitation strategy developed in section 2.2 will be elaborated early on (Deliverable D7.1 at M4). A thorough impact assessment of the strategy’s results will be done to evaluate and update the PEDR at M16 (D7.2) and at M28 (D7.3).
Analysis of what kind of supplier-buyer relationships are associated with large productivity premia/learning as assessed by the firm. Is it necessary that the partner is foreign owned or is it more important that it is integrated into GVCs? Second, how relationships form? In particular, what kinds of networks are used to find partners and what type of investment or innovation is necessary to form relationships with globally integrated firms? Third, what kind of innovative activities take place within these relationships? How the nature of these activities is related to the characteristics of the partners?
Infering the presence of intangible assets by studying whether the organisational decision of firms react to changes in the strength of intellectual property rights (IPR) protection.
MICROPROD’s experimental approach with the Pilot NSIs will take the form of workshops, which we plan to hold at M3 and M9 at MTA KRTK and IWH. MICROPROD will eventually scale up to further NSIs, and in order to do so, we will be providing a Handbook (i.e. guide) for new measurement/data production.
Asking whether financial constraints causally affect the real economy.
Already existing infrastructure of CompNet will be used to make the data available to research and policy on yearly basis.
In order to manage data aspect of the project, a Data Management Plan (DMP) is scheduled for Month 6, as part of WP1, led by Prof Filippo di Mauro (IWH). It will include a robust system and agreed rules clarifying data access, validation, quality and reliability, integration, storage and protection. The DMP will be elaborated in accordance with MICROPROD’s ethical principles (see section 5 of Annex 1 - Part B for more information).
Publications
Author(s): Wolfhard Kaus, Viktor Slavtchev, Markus Zimmermann
Published in: IWH Discussion Papers, Issue 1/2020, 2020
Author(s): Richard Bräuer, Matthias Mertens, Viktor Slavtchev,
Published in: IWH Discussion Papers, Issue 20/2019, 2019
Author(s): Stefano Bolatto & Alireza Naghavi & Gianmarco Ottaviano & Katja Zajc Kejzar
Published in: CEP Discussion Papers, 2020, Page(s) dp1673
