Factors affecting evolution of the interprovincial technology patent trade networks in China based on exponential random graph models

Xi-jun He, Yan-bo Dong, Yu-ying Wu, Guo-rui Jiang and Yao Zheng

Physica A: Statistical Mechanics and its Applications, 2019, vol. 514, issue C, 443-457

Abstract: Five China’s interprovincial patent trade networks over the period 2012–2016 are established on the basis of patent transfer information collection, transfer entity identification, and regional mapping. Based on the analysis of patent trade trends and the characteristics of the network structure, endogenous structural effects and exogenous factors affecting the evolution of the trade networks are proposed, and exponential random graph models (ERGMs) constructed to select the most parsimonious model. Based on the variables in the most parsimonious model, temporal ERGM is used to determine the factors of trade networks evolution among provinces. The results provide six key factors affecting network evolution over the period 2012–2016, i.e., reciprocity, eastern output effect, intensity of technological R&D, proximity to economic center, and technology openness. Moreover, analysis reveals that the concentration of technology in provinces is the key factor inhibiting evolution, while differences among provinces on economic levels, technology trade experience, the technology receiving of western provinces, and the geographical proximity of provinces exhibit a weak effect on the evolution process. Finally, suggestions to promote interprovincial patent trade are proposed.

Keywords: Interprovincial patent trade network (IPTN); Factors affecting evolution; Temporal exponential random graph model (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437118311944
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:514:y:2019:i:c:p:443-457

DOI: 10.1016/j.physa.2018.09.062

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().