Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model
The establishment of an industrial benefit distribution mechanism for reservoir migrants in water conservancy and hydropower projects is a crucial part. This paper establishes the logistic regression model with gradient descent by deriving the objective function and using the gradient descent method...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
|
| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.00084 |
| _version_ | 1797340842556391424 |
|---|---|
| author | Li Xue Li Ling Hu Binfeng |
| author_facet | Li Xue Li Ling Hu Binfeng |
| author_sort | Li Xue |
| collection | DOAJ |
| description | The establishment of an industrial benefit distribution mechanism for reservoir migrants in water conservancy and hydropower projects is a crucial part. This paper establishes the logistic regression model with gradient descent by deriving the objective function and using the gradient descent method to solve its approximate solution. Then, the model is applied to predict the total income and total expenditure of reservoir migrants before and after agricultural resettlement and tertiary resettlement, and the criteria for benefit compensation distribution are given based on the comparison before and after relocation. In the case of agricultural resettlement, the average share of equal compensation in the first 5 years accounts for 54.67% of the predicted income, and the predicted average annual growth rate of net income per capita is 17.86% with a discount rate of 3.12%. In the tertiary placement case, the predicted growth rates of wage income in the first 5 years are 7.49%, 4.84%, 10.56%, and 1.15%, respectively, and the average annual growth rate of transfer income is 7.01%, and the average annual growth rate of government subsidies is 0.80%. The prediction accuracy of the logistic regression model based on gradient decline reached 84.14%, and the analysis of the distribution of industrial benefits for reservoir migrants was credible. To let the living standard of migrants recover and exceed the level of non-relocation as soon as possible, it is necessary to give migrants certain compensation for production and life recovery based on the living standard measurement index. |
| first_indexed | 2024-03-08T10:10:12Z |
| format | Article |
| id | doaj.art-dd3f123d73f3477a99d08ab09c6a937b |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:10:12Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-dd3f123d73f3477a99d08ab09c6a937b2024-01-29T08:52:28ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00084Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression modelLi Xue0Li Ling1Hu Binfeng21Changjiang Water Resources Commission, Changjiang Project Supervision & Consultancy Co. Ltd (Hubei), Wuhan, Hubei, 430000, China.1Changjiang Water Resources Commission, Changjiang Project Supervision & Consultancy Co. Ltd (Hubei), Wuhan, Hubei, 430000, China.1Changjiang Water Resources Commission, Changjiang Project Supervision & Consultancy Co. Ltd (Hubei), Wuhan, Hubei, 430000, China.The establishment of an industrial benefit distribution mechanism for reservoir migrants in water conservancy and hydropower projects is a crucial part. This paper establishes the logistic regression model with gradient descent by deriving the objective function and using the gradient descent method to solve its approximate solution. Then, the model is applied to predict the total income and total expenditure of reservoir migrants before and after agricultural resettlement and tertiary resettlement, and the criteria for benefit compensation distribution are given based on the comparison before and after relocation. In the case of agricultural resettlement, the average share of equal compensation in the first 5 years accounts for 54.67% of the predicted income, and the predicted average annual growth rate of net income per capita is 17.86% with a discount rate of 3.12%. In the tertiary placement case, the predicted growth rates of wage income in the first 5 years are 7.49%, 4.84%, 10.56%, and 1.15%, respectively, and the average annual growth rate of transfer income is 7.01%, and the average annual growth rate of government subsidies is 0.80%. The prediction accuracy of the logistic regression model based on gradient decline reached 84.14%, and the analysis of the distribution of industrial benefits for reservoir migrants was credible. To let the living standard of migrants recover and exceed the level of non-relocation as soon as possible, it is necessary to give migrants certain compensation for production and life recovery based on the living standard measurement index.https://doi.org/10.2478/amns.2023.2.00084logistic regressiongradient descent methodreservoir migrantsindustrial benefit distribution62g08 |
| spellingShingle | Li Xue Li Ling Hu Binfeng Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model Applied Mathematics and Nonlinear Sciences logistic regression gradient descent method reservoir migrants industrial benefit distribution 62g08 |
| title | Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model |
| title_full | Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model |
| title_fullStr | Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model |
| title_full_unstemmed | Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model |
| title_short | Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model |
| title_sort | exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model |
| topic | logistic regression gradient descent method reservoir migrants industrial benefit distribution 62g08 |
| url | https://doi.org/10.2478/amns.2023.2.00084 |
| work_keys_str_mv | AT lixue exploringthebenefitdistributionmechanismofthereservoirmigrantindustrybasedonthelogisticregressionmodel AT liling exploringthebenefitdistributionmechanismofthereservoirmigrantindustrybasedonthelogisticregressionmodel AT hubinfeng exploringthebenefitdistributionmechanismofthereservoirmigrantindustrybasedonthelogisticregressionmodel |