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林业资源管理 ›› 2020›› Issue (1): 191-198.doi: 10.13466/j.cnki.lyzygl.2020.01.025

• 研究简报 • 上一篇    

城市居民绿色消费行为及影响因素研究

赵晓迪1, 付佳彦2, 庞新生2()   

  1. 1. 中国林业科学研究院林业科技信息研究所,北京 100091
    2. 北京林业大学 经济管理学院,北京 100083
  • 收稿日期:2019-11-12 修回日期:2019-12-17 出版日期:2020-02-28 发布日期:2020-05-18
  • 通讯作者: 庞新生
  • 作者简介:赵晓迪(1989-),女,山东潍坊人,博士,助理研究员,研究方向:林业经济政策、绿色发展战略。Email: edison19890918@126.com
  • 基金资助:
    中国林业科学研究院中央级公益性科研院所基本科研业务费专项资金面上项目“绿色消费行为及驱动机制研究”(CAFYBB2018MC002)

Study on Urban Residents' Green Consumption Behaviors and Their Influencing Factors

Xiaodi ZHAO1, Jiayan FU2, Xinsheng PANG2()   

  1. 1. Research Institute of Forestry Policy and Information,Chinese Academy of Forestry,Beijing 100091
    2. School of Economics and Management,Beijing Forestry University,Beijing 100083
  • Received:2019-11-12 Revised:2019-12-17 Online:2020-02-28 Published:2020-05-18
  • Contact: Xinsheng PANG

摘要:

绿色消费对绿色发展具有重要意义。采用Richter量表法,从消费行为、消费者感知、外部因素和其他因素4个方面设计问卷,对我国华北、华东、华中、华南、西北、西南6个大区代表城市的1 000名居民进行了关于绿色消费的调查,获取数据;运用结构方程模型(SEM),通过广义最小二乘法(GLS)进行拟合修正,探究消费意愿、环保认知、经济因素对居民绿色消费行为的影响。研究表明:个体责任感、政策因素、产品信任对绿色购买态度有正向影响;经济因素、产品价格对绿色购买行为有负向影响。

关键词: 绿色消费, 消费行为, 影响因素, 结构方程模型

Abstract:

Green consumption is of great value to green development.Richter Scale Method was adopted to investigate the green consumption of 1000 residents in representative cities of six major regions in north China,east China,central China,south China,northwest China and southwest China.Table data were obtained from four aspects of consumption behavior,consumer perception,external factors and other factors.On this basis,the structural equation model (SEM) was constructed,and the fitting was modified by the general least flat method (GLS) to explore the influence of consumption intention,environmental awareness and economic factors on residents' green consumption behavior.Research shows that individual responsibility,policy factors and product trust have positive effects on green purchasing attitude.Economic factors and product prices have negative effects on green purchasing behavior.

Key words: green consumption, customer behavior, influencing factor, structural estimation model

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