Forecasting Growth and Exploring Trends in China's Pet Food Industry: A Multidimensional Analysis

Authors

  • Jia Luo

DOI:

https://doi.org/10.54097/pb6mdj82

Keywords:

Aging Societies, Prediction Model, Pet Industry.

Abstract

In recent years, under the context of improvement together with aging population, Chinas pet food industry has made rapid development in the field of production and export, and faces the challenges brought by the economic policy changes in European and American countries. In order to study the sustainable development path of China’s pet food industry, this paper analyzes the industrial development trend, market demand and the influence of international economic policy based on actual data and mathematical modeling methods. For different problems, we establish exponential smoothing, multivariate regression, ARIMA models and PEST analysis to explore market trends and drivers. It bridges research gaps by analyzing key factors and forecasting growth, offering actionable insights for strategic planning and sustainable industry development.

Downloads

Download data is not yet available.

References

[1] Zhang W, Cao H, Lin L. Analysis of the future development trend of the pet industry[C]//2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022). Atlantis Press, 2022: 1682-1689.

[2] Charmaraman L, Mueller M K, Richer A M. The role of pet companionship in online and offline social interactions in adolescence[J]. Child and Adolescent Social Work Journal, 2020, 37: 589-599.

[3] Kretzler B, König H H, Hajek A. Pet ownership, loneliness, and social isolation: a systematic review[J]. Social psychiatry and psychiatric epidemiology, 2022, 57(10): 1935-1957.

[4] Hoy-Gerlach J, Rauktis M, Newhill C. (Non-human) animal companionship: A crucial support for people during the COVID-19 pandemic[J]. Society Register, 2020, 4(2): 109-120.

[5] Hoffman J M, Song S, Brugger K, et al. Untapped research opportunities in China: promising future avenues and potential concerns for aging companion animals[J]. GeroScience, 2022, 44(3): 1295-1299.

[6] Zhang W, Cao H, Lin L. Analysis of the future development trend of the pet industry[C]//2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022). Atlantis Press, 2022: 1682-1689.

[7] Hobbs L, Shanoyanb A, Aldrich G. Assessing research needs for informing pet food industry decisions[J]. International Food and Agribusiness Management Review, 2024, 1(aop): 1-34.

[8] Song H G, Lim S U. Assessing pet industry in Korea using service quality improvement gap model[J]. International Journal of Technology, Policy and Management, 2015, 15(1): 2-20.

[9] Kuzma E, Sehnem S. Proposition of a structural model for business value creation based on circular business models, innovation, and resource recovery in the pet industry[J]. Business Strategy and the Environment, 2023, 32(1): 516-537.

[10] Goula Ballester F. Strategic expansion of a pet food factory: a descripfive analysis of the Raw pet food US market[D]. Universitat Politècnica de Catalunya, 2023.

[11] Lin W, Shi Y. A Study on the Development of China’s Financial Leasing Industry Based on Principal Component Analysis and ARIMA Model[J]. Sustainability, 2023, 15(13): 9913.

[12] Du Y. A time series forecasting system based on ARIMA for industrial big data[C]//International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022). SPIE, 2022, 12288: 17-21.

[13] Sirisha U M, Belavagi M C, Attigeri G. Profit prediction using ARIMA, SARIMA and LSTM models in time series forecasting: A comparison[J]. IEEE Access, 2022, 10: 124715-124727.

[14] Eswaran C, Logeswaran R. A Comparison of ARIMA, neural network and linear regression models for the prediction of infant mortality rate[C]//2010 fourth Asia international conference on mathematical/analytical modelling and computer simulation. IEEE, 2010: 34-39.

Downloads

Published

17-03-2025

How to Cite

Luo, J. (2025). Forecasting Growth and Exploring Trends in China’s Pet Food Industry: A Multidimensional Analysis. Highlights in Business, Economics and Management, 53, 370-379. https://doi.org/10.54097/pb6mdj82