Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1)

The problem of increasing farmers’ income has been a hot issue of social concern. Understanding the farmers’ income and the overall development trend is conducive to the rational layout of the social economy and promotes the steady development of a well-off society. Based on this, the paper selects...

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Main Authors: Yongqiang Xu, Lim Thien Sang, Kun Wang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/4869135
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author Yongqiang Xu
Lim Thien Sang
Kun Wang
author_facet Yongqiang Xu
Lim Thien Sang
Kun Wang
author_sort Yongqiang Xu
collection DOAJ
description The problem of increasing farmers’ income has been a hot issue of social concern. Understanding the farmers’ income and the overall development trend is conducive to the rational layout of the social economy and promotes the steady development of a well-off society. Based on this, the paper selects the per capita disposable income (PCDI) of farmers’ households from 2012 to 2019 in 11 cities of Hebei Province as the research object and applies the fractional grey model (FGM (1,1)) to predict farmers’ income from 2020 to 2024. The results show that the farmers’ income will increase in the next five years. However, the growth rate of farmers’ income is slow in the areas with a large base of farmers’ income and strong in the areas with a small base of farmers’ income. The area with the highest trend in the growth rate of farmers’ income is Zhangjiakou and the lowest place is Handan. Only Shijiazhuang’s income growth rate is on the rise. Finally, suggestions are given to promote farmers’ income in Hebei Province.
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institution Kabale University
issn 2314-4785
language English
publishDate 2021-01-01
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series Journal of Mathematics
spelling doaj-art-6803adb2c7e6430790c75687b1123f152025-02-03T05:45:37ZengWileyJournal of Mathematics2314-47852021-01-01202110.1155/2021/4869135Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1)Yongqiang Xu0Lim Thien Sang1Kun Wang2Faculty of Business, Economics and AccountancyFaculty of Business, Economics and AccountancyDepartment of ManagementThe problem of increasing farmers’ income has been a hot issue of social concern. Understanding the farmers’ income and the overall development trend is conducive to the rational layout of the social economy and promotes the steady development of a well-off society. Based on this, the paper selects the per capita disposable income (PCDI) of farmers’ households from 2012 to 2019 in 11 cities of Hebei Province as the research object and applies the fractional grey model (FGM (1,1)) to predict farmers’ income from 2020 to 2024. The results show that the farmers’ income will increase in the next five years. However, the growth rate of farmers’ income is slow in the areas with a large base of farmers’ income and strong in the areas with a small base of farmers’ income. The area with the highest trend in the growth rate of farmers’ income is Zhangjiakou and the lowest place is Handan. Only Shijiazhuang’s income growth rate is on the rise. Finally, suggestions are given to promote farmers’ income in Hebei Province.http://dx.doi.org/10.1155/2021/4869135
spellingShingle Yongqiang Xu
Lim Thien Sang
Kun Wang
Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1)
Journal of Mathematics
title Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1)
title_full Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1)
title_fullStr Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1)
title_full_unstemmed Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1)
title_short Prediction of Farmers’ Income in Hebei Province Based on the Fractional Grey Model (1,1)
title_sort prediction of farmers income in hebei province based on the fractional grey model 1 1
url http://dx.doi.org/10.1155/2021/4869135
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AT kunwang predictionoffarmersincomeinhebeiprovincebasedonthefractionalgreymodel11