Effective R&D capital and total factor productivity: Evidence using spatial panel data models

被引:19
|
作者
Dai, Lu [1 ]
Zhang, Jiajun [1 ]
Luo, Shougui [1 ]
机构
[1] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200052, Peoples R China
基金
中国国家自然科学基金;
关键词
Time-varying endogenous weights; R&D capital stocks; Knowledge spillovers; Total-factor productivity; KNOWLEDGE SPILLOVERS; GROWTH; TRADE; FIRMS; COLLABORATION; DETERMINANTS; EXPLORATION; IMPACT; FRENCH; INPUTS;
D O I
10.1016/j.techfore.2022.121886
中图分类号
F [经济];
学科分类号
02 ;
摘要
It is widely accepted that R&D investment improves technological progress. The R&D capital that boosts a firm's production efficiency has various sources. This paper uses "effective" R&D capital, which represents not only a firm's internal R&D input but also the benefit derived from R&D collaboration and accessible knowledge capital, to empirically examine its effects on a firm's productivity. Accounting for technological distance and the endogeneity problem of weights matrices, we use spatial panel data models to estimate the return of R&D capital within the framework of the production function. We estimate the production function using the firm-year data of Shanghai technological enterprises from 2009 to 2017. The results show positive, significant relationships between each element of "effective" R&D capital and total-factor productivity (TFP). Knowledge spillovers have greater impacts on a firm's TFP than its internal R&D input and R&D collaboration. The contribution of R&D collaboration to TFP is less than that of internal R&D, indicating that R&D collaboration is not fully internalized. The results imply that a better environment for R&D collaboration and technology exchange is needed.
引用
收藏
页数:10
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