A Meta-Analysis of FDI Spillovers in China
|Author:||Mgr. Dominik Herman|
|Year:||2017 - summer|
|Leaders:|| prof. PhDr. Tomáš Havránek Ph.D.
|Work type:|| Finance, Financial Markets and Banking
|Awards and prizes:|
|Abstract:||Assessment of the foreign direct investment (FDI) spillovers in the People’s
Republic of China (PRC) has become a lively area of research in the past
decades; nonetheless, the existing primary literature seems to be inconclusive.
The present thesis revises the literature through a meta-analytical approach
using Bayesian Model Averaging (BMA). Considering that the previous literature
reviews are of either inferior quality or incomparable focus, our research
is based on a collection of 1081 estimates from 14 primary studies published
between 2007 and 2017 comprising data from 1995 to 2012. A variety of 85
characteristics of the observations is coded whilst we employ at least 30 of
these within each BMA estimation. Through separate testing of individual
spillover measures (horizontal, forward, and backward), an extensive evidence
of publication bias is collected for horizontal spillovers in PRC—exaggerating
the mean magnitude of the reported estimates. Finally, the thesis identifies
that the spillover effect from FDI inflows originating from the area of Hong
Kong, Macau, and Taiwan is systematically different from the others.