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Research on the Influencing Factors of Forestry Business Performance Based on MLP Model

【Abstract】 Aiming at the current situation of the development of forestry enterprises in China, from the three levels of forestry enterprises' production and operation status, capital operation status, and technological research and development innovation, 14 secondary indicators were selected as input data to explore the key influencing factors of forestry business performance; The three indicators of earnings per share, weighted return on net assets and year-on-year growth rate of attributable net profit are used as output layer indicators for measuring the operating performance of forestry enterprises; 42 listed companies involved in the production, processing, and sales of forest products are selected. Relevant data is used as an analysis sample, and the importance of each index that affects the performance of the forestry business is analyzed after using the MLP neural network model to analyze it; and based on the analysis results, it is proposed that in order to improve the level of performance, the forestry business should focus on its products Advice on market control.
[Author Unit] : School of Economics and Management, Nanjing Forestry University
[Classification number]: F326.25; F302.6

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