Economic crisis, urban structural change and inter-sectoral labour mobility
In: Structural change and economic dynamics, Band 71, S. 135-144
ISSN: 1873-6017
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In: Structural change and economic dynamics, Band 71, S. 135-144
ISSN: 1873-6017
In: HKS Working Paper No. RWP22-016, 2022
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In: Bocconi University Management Research Paper
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In: Tinbergen Institute Discussion Paper 2018-084/VI
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Working paper
In: Tinbergen Institute Discussion Paper 14-031/VII
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Working paper
This paper introduces the EUREGIO database: the first time-series (annual, 2000-2010) of global IO tables with regional detail for the entire large trading bloc of the European Union. The construction of this database, which allows for regional analysis at the level of so-called NUTS2 regions, is presented in detail for its methodology and applications. The tables merge data from WIOD (the 2013 release) with, regional economic accounts, and interregional trade estimates developed by PBL Netherlands Environmental Assessment Agency, complemented with survey-based regional input-output data for a limited number of countries. All used data are survey data and only non-behavioral assumptions have been made to estimate the EUREGIO dataset. These two general rules of data construction allow empirical analyses focused on impacts of changes in behavior (of economies, firms, policies) without endogenously having this behavior embedded already by construction. The tables are publicly available to the research community, from the Dutch government open data website. In this project, both a regional trade database, and production and consumption data of different actors in different regions, were used. The focus is thus intentionally on the regionalization of both trade and the regional use and supply of products by different economic actors. The paper is organized around the successive steps of the data construction: (1) adjustment of WIOD, (2) regional information, (3) Construction of tables, (4) conclusions on the usefulness of this type of regional IO tables with an overview of current applications of the EUREGIO database.
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In: New horizons in regional science
In: Edward Elgar E-Book Archive
'In a world which increasingly requires place-based approaches to economic development, Regional Competitiveness and Smart Specialization in Europe offers a new methodology and a framework in order to promote the smart specialization of territories. Rich in examples and evidence, the book is an essential tool for the design of sound development strategies and a must read for policy-makers and development practitioners.' (Andrés Rodríguez-Pose, London School of Economics, UK). -- Regions economically differ from each other - they compete in different products and geographical spaces, exhibit different strengths and weaknesses, and provide different possibilities for growth and development. What fosters growth in one region may hamper it in another. This highly original book presents an accessible methodology for identifying competitors and their particular circumstances in Europe, discusses regional competitiveness from a conceptual perspective and explores both past and future regional development policies in Europe. The authors illustrate that for the concept of regional competition to be valued correctly it should not solely be identified by the structural asset characteristics of cities and regions. They therefore present a unique applied analytic framework that takes into account economically valued network relations between places of (mobile) production factors and traded goods. Underpinned with thorough analysis and theory, the framework uses actual networks of competing and economically valued relations between regions to help develop smart specialization strategies that are central in the place-based policy initiatives of the new European cohesion policy.
In: Research policy: policy, management and economic studies of science, technology and innovation, Band 51, Heft 8, S. 104568
ISSN: 1873-7625
In: Research policy: policy, management and economic studies of science, technology and innovation, Band 51, Heft 3, S. 104450
ISSN: 1873-7625
Economic complexity offers a potentially powerful paradigm to understand key societal issues and challenges of our time. The underlying idea is that growth, development, technological change, income inequality, spatial disparities, and resilience are the visible outcomes of hidden systemic interactions. The study of economic complexity seeks to understand the structure of these interactions and how they shape various socioeconomic processes. This emerging field relies heavily on big data and machine learning techniques. This brief introduction to economic complexity has three aims. The first is to summarize key theoretical foundations and principles of economic complexity. The second is to briefly review the tools and metrics developed in the economic complexity literature that exploit information encoded in the structure of the economy to find new empirical patterns. The final aim is to highlight the insights from economic complexity to improve prediction and political decision-making. Institutions including the World Bank, the European Commission, the World Economic Forum, the OECD, and a range of national and regional organizations have begun to embrace the principles of economic complexity and its analytical framework. We discuss policy implications of this field, in particular the usefulness of building recommendation systems for major public investment decisions in a complex world.
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