EconPapers    
Economics at your fingertips  
 

The Risk Early-Warning Model of Financial Operation in Family Farms Based on Back Propagation Neural Network Methods

Zhigui Guan (), Yuanjun Zhao () and Guojing Geng ()
Additional contact information
Zhigui Guan: Shenzhen Institute of Information Technology
Yuanjun Zhao: Shanghai Lixin University of Accounting and Finance
Guojing Geng: Shenzhen Institute of Information Technology

Computational Economics, 2022, vol. 60, issue 4, No 2, 1244 pages

Abstract: Abstract In order to solve the financial management risks of rural family farms and promote the healthy development of rural finance in China, a risk early warning (REW) model of family farm financial operation is built under the back propagation neural network (BPNN) on the basis of in-depth research of rough set theory (RST) and risk assessment, prediction, and prevention theory. Then, the concept of BPNN is elaborated, and finally, RST is combined to construct a REW index system of family farms financial operation. Besides, a BPNN-based REW model of family farms financial operation is constructed, and the family farms financial operation risk indexes from the past four years are selected, which are compared with the predicted value of the model. The results show that the designed REW model can accurately predict the financial operation of family farms, and the calculating classification accuracy of the RS model is not less than 81.88%. The operation risk and profitability risk are predicted, of which the operation risk is in the safe range for a long term, but the weight of profitability risk is extremely high. Therefore, it is necessary to strengthen the profit-making risk control level of the family farmers’ financial management sharing early-warning model investigated in this study. The BPNN-based REW model of financial operation in family farms is highly feasible under the RST investigated in this study, thereby providing a theoretical basis for the research of the financial operation REW model of family farms in China.

Keywords: Rough set theory; Back propagation neural network; Family farms; Financial risk operation; Early-warning model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10614-021-10134-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:60:y:2022:i:4:d:10.1007_s10614-021-10134-5

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-021-10134-5

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:compec:v:60:y:2022:i:4:d:10.1007_s10614-021-10134-5