Research on the construction of rural resource potential assessment system model based on NPH theory

Authors

  • Hao Peng
  • Jianhua Wang
  • Xinlong Cui

DOI:

https://doi.org/10.37420/j.eeer.2023.007

Keywords:

NPH theory, Rural resource potential, Assessment system model, Quantitative analysis

Abstract

In the modern urban and rural development environment, the impact of urbanization has led to blind development of rural areas and excessive artificial behavior. Rural revitalization and utilization can effectively solve the problem of mechanical and stereotyped use of rural resources. However, in the actual activation process, there are also problems such as good and bad, widely different evaluation standards, and neglecting the basics. This article builds a rural resource potential assessment system model to stimulate rural potential resources and highlight rural characteristic elements based on reasonable activation of the countryside. It integrates the natural ecology, local spiritual culture, and healthy life of the NPH concept into the assessment system, and gathers keywords through Cite Space. Through three stages: category research, IBM SPSS factor layer and indicator layer credibility and validity analysis, and AHP analytic hierarchy process screening, a rural resource potential assessment system model was constructed to provide direction for rural activation and utilization.

Author Biographies

Hao Peng

Fine-Applied Arts and Cultural Science, Mahasarakham University, Mahasarakham, Thailand

Jianhua Wang

Fine-Applied Arts and Cultural Science, Mahasarakham University, Mahasarakham, Thailand

Xinlong Cui

Fine-Applied Arts and Cultural Science, Mahasarakham University, Mahasarakham, Thailand

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Published

2023-12-15 — Updated on 2025-03-19

Versions

How to Cite

Peng, H., Wang, J., & Cui, X. (2025). Research on the construction of rural resource potential assessment system model based on NPH theory. Electrical & Electronic Engineering Research, 3(1). https://doi.org/10.37420/j.eeer.2023.007 (Original work published December 15, 2023)

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