Abstract
This paper uses the method of quantitative research and adopts the coefficient of variation method and Arima time series model to analyze the adverse effects of the steel industry in Southwest China, the upstream industry of real estate, in the context of the COVID-19 pandemic and the continuous regulation of China’s real estate policy. Carry out the analysis of the influence degree of each factor and forecast the net profit. The study found that among the many unfavorable factors, the reduction in demand, the rising cost of imported raw materials, and the increasing labor costs have a greater impact on net profit, while equipment depreciation expenses, domestic raw materials and common power sources have a significant impact on net profit. Less impact. In response to the two major factors, the price of imported raw materials and labor costs, the national policy adopted the establishment of a company that purchases mineral resources in a unified way – China Minerals Group to enhance its voice, and internal enterprises can adopt methods to improve personnel efficiency to reduce labor costs.
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He, Z. (2023). Analysis on the Influence of Various Elements on the Net Profit of a Steel Group in Southwest China and the Prediction Based on Arima Model. In: Dang, C.T., Cifuentes-Faura, J., Li, X. (eds) Proceedings of the 2nd International Conference on Business and Policy Studies. CONF-BPS 2023. Applied Economics and Policy Studies. Springer, Singapore. https://doi.org/10.1007/978-981-99-6441-3_53
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DOI: https://doi.org/10.1007/978-981-99-6441-3_53
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