THE OPTIMAL ALLOCATION METHOD OF RESOURCES BASED ON THE CONSTRUCTION OF RURAL ECOLOGICAL CIVILIZATION

被引:0
作者
Tian, Guixian [1 ,2 ]
Wang, Jia [3 ]
机构
[1] Guangdong Univ Sci & Technol, Sch Finance & Econ, Dongguan 523083, Peoples R China
[2] Pingxiang Univ, Sch Business, Pingxiang 337055, Peoples R China
[3] ZhejiangWanli Univ, Sch Business, Ningbo 315100, Peoples R China
来源
REVISTA INTERNACIONAL DE CONTAMINACION AMBIENTAL | 2022年 / 38卷
关键词
Rural ecology; evaluation indicators; resource allocation objectives; optimal allocation; grey correlation model; evaluation obstacle factors;
D O I
10.20937/RICA.54617
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Owing to the low rate of utilization of traditional rural resources, it is impossible to allocate resources in areas with a complex agricultural structure. Therefore, this work designs a new method of resource allocation based on the construction of rural ecological civilization. In this work the optimal model of resource allocation under the construc-tion of the rural ecological civilization is designed, the matrix of data of the evaluation index is established and the dimensionless processing is carried out. According to the gray correlation model, the degree of correlation of each evaluation index is calculated, and then the evaluation obstacle factors are calculated, to obtain the evaluation index of the optimal allocation of rural resources. On this basis, objectives of optimization of construction resources are achieved, the principles of optimization of resources are clarified, and finally the optimal allocation of resources based on the construction of rural ecological civilization is realized. The applicability of this method is verified by example analysis. The rate of utilization of rural resources under this method is high. When the regional structure is complex, it can also maintain a good resource allocation effect, demonstrating that research results are of practical importance.
引用
收藏
页码:69 / 80
页数:12
相关论文
共 22 条
  • [1] Bar-Haim A., 2022, J HUMAN RESOURCE SUS, V10, P23
  • [2] Self-adaptive resource allocation for cloud-based software services based on iterative QoS prediction model
    Chen, Xing
    Wang, Haijiang
    Ma, Yun
    Zheng, Xianghan
    Guo, Longkun
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 105 (105): : 287 - 296
  • [3] Rural Environmental Governance Mechanism under the Rural Revitalization Strategy
    Deng, DeXiang
    Song, Yang
    Zhou, Xi
    [J]. 1ST INTERNATIONAL SYMPOSIUM ON WATER RESOURCE AND ENVIRONMENTAL MANAGEMENT (WREM 2018), 2019, 81
  • [4] Gao L.M., 2020, S TO N WATER DIVERSI, V18, P70, DOI [10.13476/j.cnki.nsbciqk.2020.0028, DOI 10.13476/J.CNKI.NSBDQK.2020.0028]
  • [5] Han X., 2021, P 2021 2 INT C NEW E
  • [6] Does industrial upgrading promote eco-efficiency? A panel space estimation based on Chinese evidence
    Han, Yonghui
    Zhang, Fan
    Huang, Liangxiong
    Peng, Keming
    Wang, Xianbin
    [J]. ENERGY POLICY, 2021, 154
  • [7] Optimal Remanufacturing Service Resource Allocation for Generalized Growth of Retired Mechanical Products: Maximizing Matching Efficiency
    Lei, Wang
    Hui, Zhao
    Xiang, Liu
    Zelin, Zhang
    Xu-Hui, Xia
    Evans, Steve
    [J]. IEEE ACCESS, 2021, 9 : 89655 - 89674
  • [8] The influence of optimized allocation of agricultural water and soil resources on irrigation and drainage in the Jingdian Irrigation District, China
    Li, Jingsi
    Fei, Liangjun
    Li, Shan
    Shi, Zhongxing
    Liu, Lihua
    [J]. IRRIGATION SCIENCE, 2020, 38 (01) : 37 - 47
  • [9] Li Z.P., 2018, ADV PHILOS, V7, P39, DOI [10.12677/ACPP.2018.73008, DOI 10.12677/ACPP.2018.73008]
  • [10] Network resource optimization with reinforcement learning for low power wide area networks
    Park, Gyubong
    Lee, Wooyeob
    Joe, Inwhee
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2020, 2020 (01)