A Big Data Analysis Research on Improving the Inefficiency and Uneven Distribution of Fishery Industry by using Game Theory

Bingnan Liu

2021

Abstract

International fishery stocks are consumed faster than ever before, and the management of it comes to the center of the stage. However, lots of issues are here in terms of managing international fishing stock. It can be known that there is a lack of potential research and application with big data analysis on internaltional fishery stocks. By conducting this research, and by using big data analysis, the author expects to have a better command of the current situation of international fishing resources and its core problems, and thus providing corresponding solutions to improve or tackle the dilemma. In terms of the detailed big data analysis method, Game theory is utilized. Game theory, including one of its subtopics, Nash equilibrium, is mainly used to analyze the situation of international fishery stocks and provide relevant countermeasures. This reserach adopts a method by organizing and analyzing data of various populations of internationery fishery stocks, which focuses on southern ocean region, and then comparing the status of the populations before and after the implemention of international treaties, the change manifests. The research result shows that economy, together with ecology welfare, have been improved to a better level. The research conclusions are as follows, by using big data analysis incorporating Game Theory, cooperation among different countries, should be realized by passing international laws and subscribing international agreements, which facilitate managing international fishery stocks using ecosystem principles.

Paper Citation

in Harvard Style

Liu B. (2021). A Big Data Analysis Research on Improving the Inefficiency and Uneven Distribution of Fishery Industry by using Game Theory. In Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA, ISBN 978-989-758-589-0, pages 281-287. DOI: 10.5220/0011343300003437

in Bibtex Style

@conference{pmbda21,
author={Bingnan Liu},
title={A Big Data Analysis Research on Improving the Inefficiency and Uneven Distribution of Fishery Industry by using Game Theory},
booktitle={Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,},
year={2021},
pages={281-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011343300003437},
isbn={978-989-758-589-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,
TI - A Big Data Analysis Research on Improving the Inefficiency and Uneven Distribution of Fishery Industry by using Game Theory
SN - 978-989-758-589-0
AU - Liu B.
PY - 2021
SP - 281
EP - 287
DO - 10.5220/0011343300003437