TY - JOUR
T1 - Regional differences and drivers of patent transfer-in between Chinese cities
T2 - a city absorptive capacity perspective
AU - Weng, Zongyuan
AU - Fan, Fei
AU - Yang, Bihong
AU - Zhang, Hong
N1 - Publisher Copyright:
© 2023 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - Patent transfer-in is a crucial approach and source for regions to reduce R&D costs and develop innovative technologies. Referring to patent transfer records from the China National Intellectual Property Administration as the data source, this paper explores the drivers of patent transfer-in in Chinese cities using geographically and temporally weighted regression and geographical detectors. Results show that: (1) from 2013 to 2019, the quantity of urban patent transfer-in increased obviously and distributed heterogeneously. The Gini coefficient remained above 0.7, while the overall difference in patent transfer-in significantly declined. (2) The contribution of each influencing factor showed spatial heterogeneity. Foreign direct investment had a negative impact on the acquisition of patented technologies from other domestic cities in most cities. In addition, most cities within the Beijing-Tianjin-Hebei region had not benefited from the accumulation of urban human capital for patent transfer-in. (3) Regional economic development and R&D investment gradually became the dominant influencing factors of patent transfer-in at the city level. In 2019, the influencing factors showed relatively-balanced interactions, but the interactions between human capital and industrial scale remained high.
AB - Patent transfer-in is a crucial approach and source for regions to reduce R&D costs and develop innovative technologies. Referring to patent transfer records from the China National Intellectual Property Administration as the data source, this paper explores the drivers of patent transfer-in in Chinese cities using geographically and temporally weighted regression and geographical detectors. Results show that: (1) from 2013 to 2019, the quantity of urban patent transfer-in increased obviously and distributed heterogeneously. The Gini coefficient remained above 0.7, while the overall difference in patent transfer-in significantly declined. (2) The contribution of each influencing factor showed spatial heterogeneity. Foreign direct investment had a negative impact on the acquisition of patented technologies from other domestic cities in most cities. In addition, most cities within the Beijing-Tianjin-Hebei region had not benefited from the accumulation of urban human capital for patent transfer-in. (3) Regional economic development and R&D investment gradually became the dominant influencing factors of patent transfer-in at the city level. In 2019, the influencing factors showed relatively-balanced interactions, but the interactions between human capital and industrial scale remained high.
KW - Patent transfer-in
KW - city absorptive capacity
KW - driving factors
KW - regional differences
UR - https://www.scopus.com/pages/publications/85166928890
U2 - 10.1080/09537325.2023.2242509
DO - 10.1080/09537325.2023.2242509
M3 - 文章
AN - SCOPUS:85166928890
SN - 0953-7325
VL - 36
SP - 4113
EP - 4127
JO - Technology Analysis and Strategic Management
JF - Technology Analysis and Strategic Management
IS - 12
ER -