An agent-based information management model of the Chinese pig sector

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

This paper investigates the effect of a selected top-down measure (what-if scenario) on actual agent behaviour and total system behaviour by means of an agent-based simulation model, when agents’ behaviour cannot fully be managed because the agents are autonomous. The Chinese pork sector serves as case. A multi-level perspective is adopted: the top-down information management measures for improving pork quality, the variation in individual farmer behaviour, and the interaction structures with supply chain partners, governmental representatives and peer farmers. To improve quality, farmers need information, which they can obtain from peers, suppliers and government. Satisfaction or dissatisfaction with their personal situation initiates change of behaviour. Aspects of personality and culture affect the agents’ evaluations, decisions and actions. Results indicate that both incentive (demand) and the possibility to move (quality level within reach) on farmer level are requirements for an increase of total system quality. A more informative governmental representative enhances this effect
Original languageEnglish
Title of host publicationProgress in artificial economics: computational and agent-based models
EditorsM. Li Calzi, L. Milone, P. Pellizzari
Place of PublicationHeidelberg
Pages177-188
DOIs
Publication statusPublished - 2010

Publication series

NameLecture notes in economics and mathematical systems
PublisherSpringer Verlag
Number645

Fingerprint Dive into the research topics of 'An agent-based information management model of the Chinese pig sector'. Together they form a unique fingerprint.

Cite this