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FDI Backward Spillovers in China: What a Meta-Analysis Tells Us?

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Drawing on a unique dataset of 694 estimates from 24 studies on foreign direct investment backward spillovers in China, this paper quantitatively analyzes spillover effects corrected for publication bias and misspecification, and account for the heterogeneity in existing empirical results using meta-regression analysis. We find that (1) the backward spillover effect corrected for publication bias and misspecification in China is quite remarkable and economically significant; (2) the backward spillover effects vary across heterogeneous firms largely. The meta-analysis also examines various study characteristics that explains the study-to-study heterogeneity of the reported spillover estimates.
Original languageEnglish
Pages (from-to)86-105
JournalEmerging Markets Finance & Trade
Volume56
Issue number1
Online published18 Mar 2019
DOIs
Publication statusPublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Research Keywords

  • backward spillover effect
  • foreign direct investment
  • meta-regression analysis
  • publication bias

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