# The Forecast of the Fish Consumption in China based on Experimental Analysis

### Jiaqi Qin, Shansong Huang, Boying Yang, Shuqi Chen, Zheng Tao

#### 2022

#### Abstract

Fish is one of the critical sources for people to obtain animal protein. About 3.1 billion people worldwide rely on fish for 20% of their daily protein intake, and even more, than 70% of some coastal communities rely on fish (Sustainable Seafood 101 - Sustainable Fisheries UW, 2021). Therefore, the fish consumption is an important indicator to judge peopleβs health. Fish consumption is the intersection of the fish supply equation and the fish demand equation. However, the quantity and price variables in equations affect each other which are not independent. Therefore, this article adopts simultaneous equation model to deal with the correlation between the price and quantity of endogenous variables. And this article chooses four exogenous variables: the ex-factory price index of industrial producers, sea surface temperature, the price of eggs and per capita GDP to construct the supply equation and the demand equation. After using π¬π²π¬πππ¦ππ’π function in R to estimate supply equation and demand equation based on the data from 2003 to 2017, the data from 2018 is used to verify the accuracy of the model.

Download#### Paper Citation

#### in Harvard Style

Qin J., Huang S., Yang B., Chen S. and Tao Z. (2022). **The Forecast of the Fish Consumption in China based on Experimental Analysis**. In *Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,* ISBN 978-989-758-593-7, pages 737-741. DOI: 10.5220/0011285800003440

#### in Bibtex Style

@conference{bdedm22,

author={Jiaqi Qin and Shansong Huang and Boying Yang and Shuqi Chen and Zheng Tao},

title={The Forecast of the Fish Consumption in China based on Experimental Analysis},

booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},

year={2022},

pages={737-741},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0011285800003440},

isbn={978-989-758-593-7},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,

TI - The Forecast of the Fish Consumption in China based on Experimental Analysis

SN - 978-989-758-593-7

AU - Qin J.

AU - Huang S.

AU - Yang B.

AU - Chen S.

AU - Tao Z.

PY - 2022

SP - 737

EP - 741

DO - 10.5220/0011285800003440