TY - JOUR
T1 - Technological spillovers in space and firm productivity
T2 - Evidence from China’s electric apparatus industry
AU - He, Ming
AU - Chen, Yang
AU - Schramm, Ron
N1 - Publisher Copyright:
© Urban Studies Journal Limited 2017.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - Using a spatial econometric model this article studies the determinants and spatial spillovers of firm productivity in China’s electric apparatus industry over the period of 1999–2007. We apply Kelejian’s FE-2SLS procedure to a higher-order spatial autoregressive model and estimate the spatial dependence of firm-level TFP within and across regional borders. The model demonstrates positive and significant intra-regional technological spillovers among firms. It also provides direct evidence that technological spillovers attenuate rapidly in spatial distance. We find that firm productivity benefits from own R&D and export activities, employment density, market competition and public expenditure. Further analyses show that the strength of spillover effects is affected by a broad range of factors, including the surface area of the region, administration type, border effect, transport and ICT infrastructure, FDI intensity, the financial sector, the utility service sector, and human capital. Factors that facilitate long-distance economic connections in general make inter-regional spillovers stronger but intra-regional spillovers weaker.
AB - Using a spatial econometric model this article studies the determinants and spatial spillovers of firm productivity in China’s electric apparatus industry over the period of 1999–2007. We apply Kelejian’s FE-2SLS procedure to a higher-order spatial autoregressive model and estimate the spatial dependence of firm-level TFP within and across regional borders. The model demonstrates positive and significant intra-regional technological spillovers among firms. It also provides direct evidence that technological spillovers attenuate rapidly in spatial distance. We find that firm productivity benefits from own R&D and export activities, employment density, market competition and public expenditure. Further analyses show that the strength of spillover effects is affected by a broad range of factors, including the surface area of the region, administration type, border effect, transport and ICT infrastructure, FDI intensity, the financial sector, the utility service sector, and human capital. Factors that facilitate long-distance economic connections in general make inter-regional spillovers stronger but intra-regional spillovers weaker.
KW - TFP
KW - agglomeration
KW - economic development
KW - public expenditure
KW - spatial autoregressive model
KW - spillover
UR - http://www.scopus.com/inward/record.url?scp=85043384528&partnerID=8YFLogxK
U2 - 10.1177/0042098017720338
DO - 10.1177/0042098017720338
M3 - Article
AN - SCOPUS:85043384528
SN - 0042-0980
VL - 55
SP - 2522
EP - 2541
JO - Urban Studies
JF - Urban Studies
IS - 11
ER -