Forecasting the Agriculture Output Values in China Based on Grey Seasonal Model
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The output values for agriculture, forestry, animal husbandry, and fishery are important indicators of agricultural economic development.
Therefore, accurately predicting the output values for agriculture, forestry, animal husbandry, and fishery can capture the developmental trend and the optimize the structure.
Agriculture, forestry, animal husbandry, and fishery are typical seasonal industries, and thus their output values vary greatly among different seasons.
To accurately estimate the seasonal variations in the observed sequence and obtain better prediction results, the output values for agriculture, forestry, animal husbandry, and fishery in different quarters from 2018 to 2021 are predicted and analyzed by using the grey seasonal model (GSM).
The results indicated that the prediction accuracy of GSM is relatively high.
The output values for the agriculture, forestry, animal husbandry, and fishery as well as their total output value will increase gradually.
It is an important achievement of structural reform under the new normal economic situation.
In addition, the GSM provides a new method for predicting seasonal data.
American Psychological Association (APA)
Chen, Yan& Nu, Li& Wu, Lifeng. 2020. Forecasting the Agriculture Output Values in China Based on Grey Seasonal Model. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1194232
Modern Language Association (MLA)
Chen, Yan…[et al.]. Forecasting the Agriculture Output Values in China Based on Grey Seasonal Model. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1194232
American Medical Association (AMA)
Chen, Yan& Nu, Li& Wu, Lifeng. Forecasting the Agriculture Output Values in China Based on Grey Seasonal Model. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1194232
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194232