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A multi-objective programming model for wildlife and human rights based on ridge regression

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DOI: 10.23977/erej.2023.070307 | Downloads: 5 | Views: 165

Author(s)

Erwen Xu 1, Xuejing Zhang 2, Yu Xia 1

Affiliation(s)

1 School of Mathematics, Hangzhou Normal University, Hangzhou, 311121, China
2 School of Physics, Hangzhou Normal University, Hangzhou, 311121, China

Corresponding Author

Yu Xia

ABSTRACT

Wildlife sanctuaries have been established all over the world to protect wild animals and other natural resources, but there have been serious conflicts between people and wildlife in Africa near sanctuaries. We chose Kenya's wildlife reserves as our research object, created the indicator framework needed for wildlife and natural resource protection research, and quantified the relationship between indicators using fitting methods like ridge regression. We built a multi-objective planning model on this foundation, used a grid method for regional planning, and developed an improved policy plan. The findings show that residents of wildlife reserves can be most effectively compensated for the loss of development interests by the government's reasonable social welfare security system. Furthermore, the local area should return farmland to forests, strictly prohibit smuggling, and encourage the development of distinctive low-carbon industries to achieve both ecological and economic benefits.

KEYWORDS

Multi-objective programming, Ridge regression, Regional rasterization, Polynomial fitting

CITE THIS PAPER

Erwen Xu, Xuejing Zhang, Yu Xia, A multi-objective programming model for wildlife and human rights based on ridge regression. Environment, Resource and Ecology Journal (2023) Vol. 7: 55-64. DOI: http://dx.doi.org/10.23977/erej.2023.070307.

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