Design of a river chief incentive mechanism based on blockchain: A principal–agent model
He Chang,
Huimin Liu and
Shuai Jin
Managerial and Decision Economics, 2023, vol. 44, issue 3, 1534-1546
Abstract:
Information asymmetry caused by centralized databases is the main factor hindering the improved performance of river chief governance, and blockchain can solve this dilemma. In view of the mismatch between traceable feature of blockchain and the heavy punishment mechanism, a model of river governance was constructed based on principal–agent theory, and an incentive mechanism of river chiefs in the context of blockchain was designed. The results we conducted will enable the real river management information to be stored permanently in the distributed ledger. These measures are conducive to long‐term river management and improve the overall environmental and social benefits.
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1002/mde.3763
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:wly:mgtdec:v:44:y:2023:i:3:p:1534-1546
Access Statistics for this article
Managerial and Decision Economics is currently edited by Antony Dnes
More articles in Managerial and Decision Economics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().