An Evaluation of the Petroleum Investment Environment in African Oil-Producing Countries Based on Combination Weighting and Uncertainty Measure Theory
Sustainability
; 14(10):5882, 2022.
Article
Dans Anglais
| ProQuest Central | ID: covidwho-1871039
ABSTRACT
Recognizing that the evaluation of the overseas petroleum investment environment is affected by many uncertain factors and that there are problems with current evaluation methods, this paper proposes a mathematical evaluation model of an overseas oil resources investment environment, based on a combination of the weighting and uncertainty measure theory. Combining international investment environment theory with the characteristics of the petroleum industry, this paper establishes an evaluation index system for the overseas petroleum investment environment and the linear uncertainty measure function of each index. Using the subjective weight obtained using an analytic hierarchy process together with the objective weight obtained using the entropy weight method, the optimal weight of each evaluation index was obtained using minimum relative information entropy. A multi-index evaluation matrix of the top 12 oil-producing countries in Africa was calculated. Finally, the credible degree recognition criterion was used to judge the order and level of the oil investment environment. This model provides an effective method for the evaluation of the overseas petroleum investment environment. The results show that Nigeria and Angola have the best investment climate, followed by Algeria, Egypt, and Libya. In general, Africa is an important strategic partner of China and is rich in oil resources. Although Africa’s oil industry is fraught with complex challenges and headwinds, challenges also present opportunities.
Environmental Studies; Africa; petroleum investment; entropy weight; information entropy; uncertainty measure; Oil and gas industry; Weighting; Entropy (statistics); Analytic hierarchy process; Mathematical analysis; International trade; Entropy; Entropy (Information theory); Overseas; Uncertainty; Evaluation; COVID-19; Oil reserves; Principal components analysis; Petroleum; Cooperation; Decision making; Weighting methods; Petroleum industry; Methods; Coronaviruses; Oil consumption; Transnationalism; Crude oil; United States--US; China; Zambia
Collection:
Bases de données des oragnisations internationales
Base de données:
ProQuest Central
Type d'étude:
Études expérimentales
langue:
Anglais
Revue:
Sustainability
Année:
2022
Type de document:
Article
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