Merits of Intercity Innovation Cooperation of Environment-friendly Patents for Environmental Regulation Efficiency

Juying Zeng, Esther Pagàn-Castaño and Samuel Ribeiro-Navarrete

Technological Forecasting and Social Change, 2022, vol. 180, issue C

Abstract: The innovation cooperation among enterprises and cities exerts impacts on efficiency to gain both economic and environmental performances. The research employs a dynamic social cooperation network weighted spatial Durbin approach to examine the merits of innovation cooperation of environment-friendly patents on environmental regulation efficiency with 6886 pieces of related patents in 26 Chinese cities. Using the Super-SBM model with undesirable outputs, the research finds the environmental regulation efficiency witnesses a dramatic improvement while great intercity discrepancy for 26 cities in Yangtze River Delta region. The social cooperation network identification clarifies the intercity innovation cooperation of environment-friendly patents does exist among 26 cities and the cooperation intensity has enhanced considerably. Furthermore, several more developed cities have strong "control ability" over resources. The dynamic spatial Durbin identification validates the innovation cooperation through control ability of information resources for other cities could significantly improve the environmental regulation efficiency. While the overall cooperation intensity has a hindering role on environmental regulation efficiency for 26 cities. The results provide new insights of innovation cooperation on improving environmental regulation efficiency in a developing economy.

Keywords: Environment-friendly patent; intercity innovation cooperation; social network analysis; environmental regulation efficiency; dynamic Spatial Durbin Model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521008350
Full text for ScienceDirect subscribers only

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:tefoso:v:180:y:2022:i:c:s0040162521008350

DOI: 10.1016/j.techfore.2021.121404

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().