| 摘要: |
| 为了更好地满足我国居民的水产品消费需求，通过对长三角地区居民水产品消费行为和影响居民消费意愿的关键因素进行研究，以期为水产品消费市场和有关行业的健康、可持续发展及产业结构的良性调整提供一定的理论借鉴和参考。文章基于长三角地区居民水产品消费情况的调查问卷，在分析消费者行为特征的基础上，运用二元Logistic回归模型对影响该地区居民水产品消费意愿的因素进行实证分析研究。结果表明，长三角地区居民水产品消费意愿受到水产品认知程度，水产品偏好，是否具有有机、绿色和无公害认证，产品价格，家庭月可支配收入和每月水产品消费额等因素的影响。提高消费者认知程度、调整水产品结构、推广绿色和无公害品牌认证、打造成本优势、推进水产品精深加工、强化质量监管及构建预警和追溯体系等是提升居民水产品消费意愿与消费水平的有效措施。 |
| 关键词: 水产品消费 长三角地区 二元Logistic回归模型 |
| DOI：10.20016/j.cnki.hykfygl.2025.07.012 |
| 投稿时间：2024-11-20修订日期：2025-06-17 |
| 基金项目:中国水产科学研究院专项资金项目“长三角地区水产品消费现状研究”（D-8006-23-0087）. |
|
| Study on Consumption Behavior and Influencing Factors of Aquatic Products of Chinese Residents:Taking the Yangtze River Delta as an Example |
| XU Mengzhe,LI Xin |
| Shanghai Ocean University |
| Abstract: |
| In order to better meet the water product consumption needs of Chinese residents, this study aims to investigate the consumption behavior and key factors influencing residents' consumption intentions of water products in the Yangtze River delta region, with the hope of providing theoretical guidance and reference for the healthy, sustainable development of the water product consumption market and related industries, as well as the rational adjustment of industrial structure. Based on a survey questionnaire on water product consumption in the Yangtze River delta region, this study analyzes the characteristics of consumer behavior and uses a binary Logistic regression model to conduct empirical analysis on the factors influencing residents' water product consumption intentions. The results show that the residents' water product consumption intentions in the Yangtze River delta region are influenced by factors such as the degree of water product cognition, product preference, whether the product has organic, green, and pollution-free certification, product price (importance), monthly disposable income, and monthly water product consumption amount. If we want to improve residents' water product consumption intentions and levels, we need to improve consumers' cognition, adjust the structure of water products, promote the certification of green and pollution-free products, create cost advantages, promote the deep processing of water products, strengthen quality supervision, and build an early warning and traceability system. |
| Key words: Aquatic products consumption, Yangtze River delta,Binary Logistic regression model |
