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Katerina Gradeva

30 April 2019
OCCASIONAL PAPER SERIES - No. 221
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Abstract
The studies summarised in this paper focus on the economic implications of euro area firms’ participation in global value chains (GVCs). They show how, and to what extent, a large set of economic variables and inter-linkages have been affected by international production sharing. The core conclusion is that GVC participation has major implications for the euro area economy. Consequently, there is a case for making adjustments to standard macroeconomic analysis and forecasting for the euro area, taking due account of data availability and constraints.
JEL Code
F6 : International Economics→Economic Impacts of Globalization
F10 : International Economics→Trade→General
F14 : International Economics→Trade→Empirical Studies of Trade
F16 : International Economics→Trade→Trade and Labor Market Interactions
E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
11 April 2018
WORKING PAPER SERIES - No. 2143
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Abstract
Using micro-aggregated firm information for nine Central and Eastern European (CEE) countries and data from input-output tables, we examine the role of Global Value Chains (GVCs) for technology diffusion across EU countries. Our empirical results provide support for a two-stage diffusion process of technology across countries. In the first stage, the most productive firms in the host economy benefit from their direct exposure to new technology created in parent firms as a result of their GVC participation. In the second stage, technology spills over to the rest of firms in the host economy via domestic production networks. In addition, we show that the import of intermediate inputs –i.e. backward linkages- is the main channel of technology diffusion within GVCs. We use these results to explain the pronounced post-crisis drop in Total Factor Productivity (TFP) growth in CEE countries. We show that due to their deep integration in GVCs, CEE countries have been exposed to two recent developments highly correlated with their TFP performance: (i) a slowdown in TFP growth of parent firms located in non-CEE EU countries; and (ii) a global slowdown in the growth rate of GVC participation, which is evident also for CEE countries from 2011 onwards. Moreover, we find that the capacity of host firms in CEE countries to absorb and understand new knowledge has decreased since the crisis. We argue that this is related to the drop in R&D investment in the CEE region during the post-crisis period.
JEL Code
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
O47 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→Measurement of Economic Growth, Aggregate Productivity, Cross-Country Output Convergence
O57 : Economic Development, Technological Change, and Growth→Economywide Country Studies→Comparative Studies of Countries
C33 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Panel Data Models, Spatio-temporal Models
Network
Competitiveness Research Network
21 October 2016
WORKING PAPER SERIES - No. 1970
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Abstract
This study focuses on the employment effect of a hiring subsidy available to firms with less than 50 employees, granted in the context of the 2012 Spanish labour market reform. Exploiting the arbitrary firm size threshold using regression discontinuity design, estimates show on average 2 percentage points higher employment growth for firms that became eligible for the scheme. However, tests and complementary regressions suggest that the higher employment growth for smaller firms in 2013 is driven by a 2010 reform, which imposes more stringent reporting requirements on larger firms. Accounting for this using difference-in-discontinuity regressions, we fail to find any significant effect of the subsidy on increasing employment of eligible firms. While our study suggests several pitfalls arising from size-contingent regulations, more data are needed to test for benecial long-term effects from the hiring subsidy in addressing duality of the Spanish labour market.
JEL Code
C21 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Cross-Sectional Models, Spatial Models, Treatment Effect Models, Quantile Regressions
D22 : Microeconomics→Production and Organizations→Firm Behavior: Empirical Analysis
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
H25 : Public Economics→Taxation, Subsidies, and Revenue→Business Taxes and Subsidies