Characteristics and driving factors of the technology cooperation network evolution: a case study of solid waste treatment field in China

ABSTRACT

The construction and development of technology cooperation network are very important to improve the efficiency of technology R&D. Based on the cooperative patent data in the field of solid waste treatment in China, this paper analyses the structural, spatial and organisational characteristics of the technology cooperation network evolution by using the social network analysis (SNA) method. Meanwhile, the exponential random graph model (ERGM) is used to explore the driving factors of the network evolution. The present results show that the network tends to form a convergent structure and transitive structure, while the intermediary structure is not conducive to the formation of the network. The R&D capability of the entity has no obvious impact on the network evolution, but the positive impact of degree centrality is significant. The negative influence of the structural holes gradually appears in the late stage of network evolution. The geographical homophily has a long-lasting and significant positive effect on network evolution. However, the effect of organisational homophily on the network evolution gradually weakens over time. This study expands the research perspective of technology cooperation network and provides a practical reference for promoting technical cooperation in the field of solid waste treatment.

KEYWORDS:

• Technology cooperation network
• solid waste treatment
• evolution characteristics
• driving factors

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was supported by the National Natural Science Foundation of China [grant number: 71874040], Heilongjiang Province Social Science Foundation Project [grant number: 18JYB144], Heilongjiang Province think-tank project [grant number: G093118002].

Notes on contributors

Yonghong Ma

Yonghong Ma is a professor at the School of Economics and Management, Harbin Engineering University. Her research focuses on technology innovation and technology management.

Xiaomeng Yang

Xiaomeng Yang is a Ph.D. candidate in the School of Economics and Management, Harbin Engineering University. Her research focuses on technology innovation and technology management.

Sen Qu

Sen Qu is a Ph.D. candidate in the College of Shipbuilding Engineering, Harbin Engineering University. His research focuses on technology R&D and simulation analysis.

Lingkai Kong

Lingkai Kong is a Ph.D. candidate in the School of Economics and Management, Harbin Engineering University. His research focuses on technology innovation and technology management.