Comparative Study on the Economic Environment of Oil and Gas Resource Countries based on Entropy Weight-TOPSIS Method

Mingyan Ding

2022

Abstract

This paper evaluates the economic environment of oil and gas resource cooperation countries of China through data evaluation. This paper selects 9 evaluation indicator variables, constructs the evaluation system, and uses the entropy weight and TOPSIS method to calculate the economic environment of these countries. According to the assessment results, population, per capita GDP and total GDP have the greatest impact on the economic environment. India, Qatar, UAE, Indonesia and Russia have the best economic environment and have good investment prospects for Chinese companies; Uzbekistan, Iran and Azerbaijan have relatively backward economic environment and high investment risk, so a risk response system should be established before business corporation.

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Paper Citation


in Harvard Style

Ding M. (2022). Comparative Study on the Economic Environment of Oil and Gas Resource Countries based on Entropy Weight-TOPSIS Method. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 361-365. DOI: 10.5220/0011178800003440


in Bibtex Style

@conference{bdedm22,
author={Mingyan Ding},
title={Comparative Study on the Economic Environment of Oil and Gas Resource Countries based on Entropy Weight-TOPSIS Method},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={361-365},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011178800003440},
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 - Comparative Study on the Economic Environment of Oil and Gas Resource Countries based on Entropy Weight-TOPSIS Method
SN - 978-989-758-593-7
AU - Ding M.
PY - 2022
SP - 361
EP - 365
DO - 10.5220/0011178800003440