Proceedings of the 2023 International Conference on Economic Management，Financial Innovation and Public Service (EMFIPS 2023)

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Exploring the Correlation and Interplay between the Chinese Agricultural Industry and Economic Influencing Factors: A Study Utilizing Backpropagation (BP) Neural Network and Time Series Analysis

Authors
Yangzheng Qing1, *
1College of Liberal Arts, The Pennsylvania State University State College, University Park, PA, 16801, USA
*Corresponding author. Email: yfq5057@psu.edu
Corresponding Author
Yangzheng Qing
Available Online 21 June 2024.
DOI
10.2991/978-94-6463-441-9_49How to use a DOI?
Keywords
Agriculture; Time Series Analysis; Multiple Linear Regression Model; China's Food Consumer Price Index; Backpropagation Neural Network; Chinese wheat future prices
Abstract

Agriculture's vital role in the economy impacts food supply and consumption. This study uses the Multiple Linear Regression Model (MLR) and the Backpropagation Neural Network (MLP). MLR emphasizes fertilizer, arable land, and precipitation's roles in grain production and consumption, highlighting the need for sustainable practices. MLP reveals complex relationships between economic variables and wheat futures prices. China's Food Consumer Price Index negatively correlates with wheat futures, while the USD to CNY exchange rate shows a positive correlation, emphasizing global trade dynamics. Shanghai Security and Equity of Agricultural Theme Index (SSEAT) robustly correlates with wheat futures, highlighting the impact of agricultural business on prices. Integrated strategies harmonizing agricultural, monetary, and trade policies are crucial for stability.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Economic Management，Financial Innovation and Public Service (EMFIPS 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
21 June 2024
ISBN
978-94-6463-441-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-441-9_49How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yangzheng Qing
PY  - 2024
DA  - 2024/06/21
TI  - Exploring the Correlation and Interplay between the Chinese Agricultural Industry and Economic Influencing Factors: A Study Utilizing Backpropagation (BP) Neural Network and Time Series Analysis
BT  - Proceedings of the 2023 International Conference on Economic Management，Financial Innovation and Public Service (EMFIPS 2023)
PB  - Atlantis Press
SP  - 574
EP  - 587
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-441-9_49
DO  - 10.2991/978-94-6463-441-9_49
ID  - Qing2024
ER  -