Good governance and natural resource management in oil and gas resource-rich countries: A machine learning approach

被引：0

作者：

Tatar, Moosa ^{[1
]}

Harati, Javad ^{[2
]}

Farokhi, Soheila ^{[3
]}

Taghvaee, Vahid ^{[4
]}

Wilson, Fernando A. ^{[5
]}

机构：

[1] Department of Pharmaceutical Health Outcomes and Policy, University of Houston, Houston,TX, United States

[2] Department of Economics, Bojnord University, Bojnord, Iran

[3] Department of Computer Science, Utah State University, Logan,UT, United States

[4] Chair of Economic Growth, Structural Change and Trade, University of Greifswald, Greifswald, Germany

[5] Department of Economics, University of Utah, Salt Lake City,UT, United States

来源：

Resources Policy | 2024年 / 89卷

关键词：

Binary alloys - Developing countries - Gases - K-means clustering - Machine learning - Potassium alloys - Principal component analysis - Resource allocation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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