Study on the Development of China's Pet Industry and Strategic Recommendations Based on Data Analysis
DOI:
https://doi.org/10.54097/e3bgam20Keywords:
Principal Component Analysis, Polynomial Regression Model, Spearman's Rank Correlation Coefficient.Abstract
The global pet industry is experiencing significant growth, particularly pronounced in regions such as North America, Europe, and parts of Asia, including China and Japan. In China, the adjustment of family planning policies alongside societal aging has transformed pets into crucial sources of emotional support, thereby invigorating the domestic pet market. Internationally, there is a pronounced demand for high-quality pet products and services in developed countries. Previous studies, including those by Zhang et al., who explored optimization strategies for enhancing pet brand competitiveness through the AARRR model, and You et al., who applied PEST, Porter’s Five Forces, and SWOT analyses to investigate smart wearable devices in pet care, have contributed valuable insights. Despite these advancements, challenges persist, notably in achieving sustainable sourcing of pet food ingredients and comprehending the rapidly evolving pet electronics sector. This article aims to provide strategic suggestions for China's pet industry by using principal component analysis and polynomial and fitting linear regression models to deeply analyze the current situation, challenges and future prospects of China's pet industry.
Downloads
References
[1] Hidalgo-Fernández A, Moral-Cuadra S, Menor-Campos A, et al. Pet tourism: motivations and assessment in the destinations [J]. Consumer Behavior in Tourism and Hospitality, 2023, 18 (3): 335 - 350.
[2] Lawson, S., Kirman, B., et al. Problematizing upstream technology through speculative design: The case of quantified cats and dogs [C]//Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Northumbria Research Link, 2015.
[3] Yang, Y., Yuan, Y., et al. Application of digital transformation in pet accessories market [C]//Proceedings of the 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022), 2022.
[4] Guilherme-Fernandes J, Aires T, Fonseca A J M, et al. Squid meal and shrimp hydrolysate as novel protein sources for dog food [J]. Frontiers in Veterinary Science, 2024, 11: 1360939.
[5] Li B, Li J, Lu J. Research on the coupled risk of key nodes in maritime transport based on improved catastrophe theory [J]. Sustainability, 2019, 11 (17): 4640.
[6] Bruni, A., Leite, V. B. Quantum chemistry and chemometrics applied to conformational analysis [M]. IntechOpen, 2012.
[7] Chin T L, Shih W N. Concisely Indexed Multi-Keyword Rank Search on Encrypted Cloud Documents [J]. Applied Sciences, 2021, 11 (23): 11529.
[8] Han J, Zhou J. A Study on the Construction of Cultivating High-Quality Farmers in Higher Vocational Colleges and Universities under the OBE-PDCA Approach [J]. Applied Mathematics and Nonlinear Sciences, 2023, 9 (1).
[9] Onyeama, J. Credit card fraud detection in the Nigerian financial sector: A comparison of unsupervised TensorFlow-based anomaly detection techniques, autoencoders and PCA algorithm [R]. Enugu State University of Science and Technology, 2024.
[10] Košmelj K. Metoda glavnih komponent: osnove in primer [J]. Acta agriculturae Slovenica, 2007, 89 (1): 159 - 172.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.