Research on the Economic Development of Guangxi Orange Industry Under the Background of New Media Matrix

Xiaonan Ren, Hailong Li, Hongjun Huang

2022

Abstract

Since the outbreak of the COVID-19, the development of the orange industry has been hit hard, and seeking a window for economic recovery has become a top priority. New media platforms are inexpensive and inefficient, and have become an important way to promote economic development. The advent of the information age has brought opportunities and challenges to the development of agricultural economy. Facing a variety of new media platforms, how to make efficient use of multimedia has become the key to promoting the informationization of agricultural economy. This paper will study the development of the orange industry from the multimedia matrix.

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Paper Citation


in Harvard Style

Ren X., Li H. and Huang H. (2022). Research on the Economic Development of Guangxi Orange Industry Under the Background of New Media Matrix. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 185-190. DOI: 10.5220/0012027800003620


in Bibtex Style

@conference{icemme22,
author={Xiaonan Ren and Hailong Li and Hongjun Huang},
title={Research on the Economic Development of Guangxi Orange Industry Under the Background of New Media Matrix},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={185-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012027800003620},
isbn={978-989-758-636-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Research on the Economic Development of Guangxi Orange Industry Under the Background of New Media Matrix
SN - 978-989-758-636-1
AU - Ren X.
AU - Li H.
AU - Huang H.
PY - 2022
SP - 185
EP - 190
DO - 10.5220/0012027800003620
PB - SciTePress