Foreign capital and domestic productivity in the Czech Republic: a meta-regression analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F20%3A10408798" target="_blank" >RIV/00216208:11230/20:10408798 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28120/20:63525478

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=NdpTgXgCMJ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=NdpTgXgCMJ</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/00036846.2020.1726864" target="_blank" >10.1080/00036846.2020.1726864</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Foreign capital and domestic productivity in the Czech Republic: a meta-regression analysis

Popis výsledku v původním jazyce

We provide a quantitative synthesis of the literature studying the effect of foreign direct investment (FDI) on the productivity of locally owned firms in the Czech Republic. To this end, we collect 332 previously reported estimates and use Bayesian model averaging to address model uncertainty. We find no evidence of publication bias, i.e. no sign of selective reporting of estimates that are statistically significant and show an intuitive sign. Our results suggest that more advanced techniques yield substantially larger positive effects (FDI spillovers). When placing more weight on estimates that solve important identification problems in the literature (such as using data on existing linkages between firms instead of approximations based on input-output tables), we find that, as of 2018, a 10-percentage-point increase in foreign presence is likely to lift the productivity of domestic firms by 11%. The effect is even larger for joint ventures, reaching 19%.

Název v anglickém jazyce

Foreign capital and domestic productivity in the Czech Republic: a meta-regression analysis

Popis výsledku anglicky

We provide a quantitative synthesis of the literature studying the effect of foreign direct investment (FDI) on the productivity of locally owned firms in the Czech Republic. To this end, we collect 332 previously reported estimates and use Bayesian model averaging to address model uncertainty. We find no evidence of publication bias, i.e. no sign of selective reporting of estimates that are statistically significant and show an intuitive sign. Our results suggest that more advanced techniques yield substantially larger positive effects (FDI spillovers). When placing more weight on estimates that solve important identification problems in the literature (such as using data on existing linkages between firms instead of approximations based on input-output tables), we find that, as of 2018, a 10-percentage-point increase in foreign presence is likely to lift the productivity of domestic firms by 11%. The effect is even larger for joint ventures, reaching 19%.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50201 - Economic Theory

Projekt

<a href="/cs/project/GX19-26812X" target="_blank" >GX19-26812X: Excelence v ekonomickém výzkumu energetické efektivity a modelování dopadů - FE3M</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Applied Economics

ISSN

0003-6846

e-ISSN

—

Svazek periodika

52

Číslo periodika v rámci svazku

18

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

1949-1958

Kód UT WoS článku

000514500500001

EID výsledku v databázi Scopus

2-s2.0-85079717967