The contrasting effects of interregional networks and local agglomeration on R&D productivity in Chinese provinces : Insights from an empirical spatial Durbin model

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

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Author(s)

  • Xionghe Qin
  • Xueli Wang
  • Mei-Po Kwan

Detail(s)

Original languageEnglish
Article number122608
Journal / PublicationTechnological Forecasting and Social Change
Volume193
Online published17 May 2023
Publication statusPublished - Aug 2023
Externally publishedYes

Abstract

This paper examines the contrasting effects of local agglomeration in innovation activities and the interregional networks derived from innovation collaboration on R&D productivity. Based on a two-stage R&D process, study enriches the existing research and highlights the significance of interregional networks and agglomeration in understanding spillover effects and productivity improvement. This study employs the network slacks-based measure model to quantify the R&D productivity of two successive stages of research and technology transfer using panel data from 2009 to 2017 for 30 Chinese provinces. It employs the spatial Durbin model to explore and compare the effects of interregional networks and local agglomeration on R&D productivity at each stage. The findings show that interregional networks play an important role in improving research productivity, while local agglomeration is more important in technology transfer research. The significant spatial spillover effect of technology transfer productivity in adjacent provinces indicates a large likelihood of vergences in R&D productivity. The results confirm that interregional networks and local agglomeration operate at distinct parts of the R&D process. © 2023 Elsevier Inc.

Research Area(s)

  • Local agglomeration, Interregional networks, R&D productivity, Spatial econometrics, China, INTERNATIONAL KNOWLEDGE SPILLOVERS, FOREIGN DIRECT-INVESTMENT, INNOVATION NETWORKS, TACIT KNOWLEDGE, ABSORPTIVE-CAPACITY, TECHNOLOGY-TRANSFER, ECONOMIC-GEOGRAPHY, INCREASING RETURNS, START-UPS, CLUSTERS

Citation Format(s)

The contrasting effects of interregional networks and local agglomeration on R&D productivity in Chinese provinces: Insights from an empirical spatial Durbin model. / Qin, Xionghe; Wang, Xueli; Kwan, Mei-Po.
In: Technological Forecasting and Social Change, Vol. 193, 122608, 08.2023.

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