摘要
随着经济发展,我国养宠人数快速增长,宠物食品行业受到了大量的关注,但国内猫狗宠物食品企业起步较晚,市场中出现的产品良莠不齐,整体竞争力不高。本文采用二元Logistic回归方法分析影响消费者购买各类宠物食品的显著因素,找出宠物食品消费驱动的主要因素;接着再利用TOPSIS法对我国宠物食品品牌现状进行综合分析,得到最优品牌的产品特点,以供其他品牌学习借鉴。最终根据相关结论为我国猫狗宠物食品企业提出切实可行的发展建议,以促进我国宠物食品行业的进一步发展。
With the economic development, the number of pet breeders in China has increased rapidly, and the pet food industry has received a lot of attention. However, domestic cat and dog pet food enterprises started late, the products in the market are mixed, and the overall competitiveness is not high. In this paper, binary logistic regression method is used to analyze the significant factors affecting consumers’ purchase of all kinds of pet food, and find out the main factors driving pet food consumption;Then, the TOPSIS method is used to comprehensively analyze the current situation of pet food brands in China, and the product characteristics of the best brand are obtained, which can be used as a reference for other brands. Finally, according to the relevant conclusions, this paper puts forward practical development suggestions for China’s cat and dog pet food enterprises, so as to promote the further development of China’s pet food industry.
出处
《统计学与应用》
2022年第3期511-523,共13页
Statistical and Application
