社会网络分析
面板数据
知识管理
业务
绿色发展
路径分析(统计学)
结构方程建模
生产力
构造(python库)
产业组织
计算机科学
可持续发展
经济
宏观经济学
机器学习
万维网
政治学
法学
计量经济学
社会化媒体
程序设计语言
作者
Kaixuan Di,Runhan Xu,Zuankuo Liu,Rongkun Liu
标识
DOI:10.1016/j.jclepro.2024.140766
摘要
Green collaborative innovation plays an increasingly prominent role in improving enterprises' green total factor productivity (GTFP). Using China's listed manufacturing enterprises' panel data from 2011 to 2022, this paper uses social network analysis to construct green collaborative innovation networks based on the data of joint applications for green patents. This paper then performs an empirical analysis to explore the impact of enterprises' green collaborative innovation network locations on their GTFP and the associated impact mechanism. The results show that (1) enterprises in the core position of a green collaborative innovation network can enhance their GTFP, and this conclusion remains robust after replacing explanatory variables and changing the sample selection scope and the estimation of instrumental variables; (2) differences in green collaborative innovation type, enterprise ownership structure and time stage lead to heterogeneity in the influence of green collaborative innovation network location on GTFP; and (3) enterprises in the core location of a green collaborative innovation network indirectly promote their GTFP through improving their technological innovation level and resource allocation efficiency. This paper provides a practical and feasible path for the promotion of GTFP and high-quality economic development from the perspective of a green collaborative innovation network.
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