2014
DOI: 10.2139/ssrn.2540126
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FDI Spatial Spillovers in China

Abstract: This paper studies FDI spatial spillovers in China. Empirical investigation reveals that, along the spatial dimension, FDI presence tends to generate negative intra-regional spillovers that dominate other potential positive externalities. The direction, magnitude and scope of inter-regional spillovers vary, depending on the spillover channels. Our empirical findings call for a rethinking of policy-driven agglomeration among indigenous firms and MNEs in developing countries.

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Cited by 3 publications
(3 citation statements)
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References 48 publications
(16 reference statements)
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“…The main reason may be that compared with the Central-Western region, the Eastern region is located on the coast and it is easier to attract FDI, which promotes local and its neighboring GTFP growth through learning effects. In contrast, the Central-Western region is located inland and it is more difficult to attract FDI [ 77 ]. To pursue economic growth, the Central-Western local governments tend to launch the competition of “race to the bottom”, leading to a large number of entries of FDI with high energy consumption and pollution emissions, which is not conducive to GTFP growth.…”
Section: Resultsmentioning
confidence: 99%
“…The main reason may be that compared with the Central-Western region, the Eastern region is located on the coast and it is easier to attract FDI, which promotes local and its neighboring GTFP growth through learning effects. In contrast, the Central-Western region is located inland and it is more difficult to attract FDI [ 77 ]. To pursue economic growth, the Central-Western local governments tend to launch the competition of “race to the bottom”, leading to a large number of entries of FDI with high energy consumption and pollution emissions, which is not conducive to GTFP growth.…”
Section: Resultsmentioning
confidence: 99%
“…Despite these regional arguments, existing results for regional spillovers are rather mixed for country analyses. For example, Aitken and Harrison (1999), Driffield (2004), Higón and Vasilakos (2011), Liu and Wei (2006) and Xu and Sheng (2012) found evidence for regional spillovers; whereas, Halpern and Muraközy (2005), Sjöholm (1999), Kokko and Kravtsova (2012) and Lin and Kwan (2014) failed to confirm that regional dimension matters. This heterogeneity on regional spillover findings could be a result of misspecification of these effects which are conditional on a number of factors.…”
Section: On the Role Of Regional Effectmentioning
confidence: 99%
“…This makes the system‐GMM estimator an obvious candidate for the estimation of models like equation when X is endogenous to the dependent variable. There is indeed now a growing number of papers in various fields of applied economic analysis that use system‐GMM in dynamic spatial models (see, among others, Neumayer & De Soysa, ; Bouayad‐Agha, Turpin, & Vedrine, ; Cho, Dreher, & Neumayer, ; Park & Park, ; Lin & Kwan, ; Kubis & Schneider, ).…”
Section: Econometric Estimation Of a Dynamic Model With Spatial Effectsmentioning
confidence: 99%