Π‘ΡΠ΄ΡΡΠΆΠ°Π½ΠΈΠ΅ΡΠΎ Π½Π΅ Π΅ Π½Π°Π»ΠΈΡΠ½ΠΎ Π½Π° Π±ΡΠ»Π³Π°ΡΡΠΊΠΈ Π΅Π·ΠΈΠΊ.
Benjamin Bluhm
- 31 July 2017
- WORKING PAPER SERIES - No. 2090Details
- Abstract
- What drives external performance of countries? This is a recurring question in academia and policy. The factors underlying export growth are receiving great attention, as countries struggle to grow out of the crisis by increasing exports and as protectionist discourses take foot again. Despite decades of debates, it is still unclear what the drivers of external performance are and, importantly, which ones policy makers can influence. We use Bayesian Model Averaging in a panel setting to investigate the drivers of export market shares of 25 EU countries, considering a wide range of traditional indicators along with novel ones developed within the CompNet Competitiveness Research Network. We find that export market share growth is linked to different factors in the old and in the new Member States, with one exception: for both groups, competitive pressures from China have strongly aο¬ected export performance since the early 2000s. In the case of old EU Member States, investment, quality of institutions and available liquidity to ο¬rms also appear to play a role. For the new EU Member States, labour and total factor productivity are particularly important, while inward FDI matters rather than domestic investment. Price competitiveness does not seem to play a very important role in either set of countries: relative export prices do show correlation with export performance for the new Member States, but only when they are adjusted for quality. Our results point to the importance of considering the βexporting stageβ of a country when discussing export-enhancing policies.
- JEL Code
- C23 : Mathematical and Quantitative MethodsβSingle Equation Models, Single VariablesβPanel Data Models, Spatio-temporal Models
C51 : Mathematical and Quantitative MethodsβEconometric ModelingβModel Construction and Estimation
C55 : Mathematical and Quantitative MethodsβEconometric ModelingβModeling with Large Data Sets?
F14 : International EconomicsβTradeβEmpirical Studies of Trade
O52 : Economic Development, Technological Change, and GrowthβEconomywide Country StudiesβEurope - Network
- 15 July 2015
- OCCASIONAL PAPER SERIES - No. 163Details
- Abstract
- This Compendium describes the contribution of CompNet to the improvement of the analytical framework and indicators of competitiveness. It does this by presenting a comprehensive database of novel competitiveness indicators. These are more than 80 novel indicators designed by CompNet members that capture macro, micro and cross-country dimensions, thus providing a comprehensive view of the competitive position of EU countries and their peers. A short description of each innovative indicator
- JEL Code
- F14 : International EconomicsβTradeβEmpirical Studies of Trade
F41 : International EconomicsβMacroeconomic Aspects of International Trade and FinanceβOpen Economy Macroeconomics
F60 : International EconomicsβEconomic Impacts of GlobalizationβGeneral
D24 : MicroeconomicsβProduction and OrganizationsβProduction, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
E31 : Macroeconomics and Monetary EconomicsβPrices, Business Fluctuations, and CyclesβPrice Level, Inflation, Deflation