The contrasting effects of interregional networks and local agglomeration on R&D productivity in Chinese provinces: Insights from an empirical spatial Durbin model
被引:12
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作者:
Qin, Xionghe
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机构:
Hefei Univ Technol, Sch Econ, Hefei 230031, Peoples R ChinaHefei Univ Technol, Sch Econ, Hefei 230031, Peoples R China
Qin, Xionghe
[1
]
Wang, Xueli
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机构:
Wuhan Univ, Dev Econ & Management, Wuhan 430072, Peoples R China
City Univ Hong Kong, Dept Econ & Finance, Hong Kong, Peoples R ChinaHefei Univ Technol, Sch Econ, Hefei 230031, Peoples R China
Wang, Xueli
[2
,3
]
Kwan, Mei-Po
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机构:
Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R ChinaHefei Univ Technol, Sch Econ, Hefei 230031, Peoples R China
Kwan, Mei-Po
[4
,5
]
机构:
[1] Hefei Univ Technol, Sch Econ, Hefei 230031, Peoples R China
[2] Wuhan Univ, Dev Econ & Management, Wuhan 430072, Peoples R China
[3] City Univ Hong Kong, Dept Econ & Finance, Hong Kong, Peoples R China
[4] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China
[5] Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China
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 tech-nology 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.
机构:
Hefei Univ Technol, Sch Econ, Hefei 230031, Peoples R China
East China Normal Univ, Inst Global Innovat Dev, Shanghai 200062, Peoples R ChinaHefei Univ Technol, Sch Econ, Hefei 230031, Peoples R China
机构:
Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R ChinaUniv Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China
Wang, Jianda
Guo, Dongsheng
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机构:
Univ Int Business & Econ, Sch Marxism, Beijing 100029, Peoples R ChinaUniv Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China
机构:
AIT Austrian Inst Technol GmbH, Foresight & Policy Dev Dept, Res Technol & Innovat Policy Unit, A-1220 Vienna, AustriaAIT Austrian Inst Technol GmbH, Foresight & Policy Dev Dept, Res Technol & Innovat Policy Unit, A-1220 Vienna, Austria