Investigation into the Factors Affecting the Green Consumption Behavior of China Rural Residents in the Context of Dual Carbon

被引:2
|
作者
Hua, Kaiyu [1 ]
Pang, Xinsheng [1 ]
机构
[1] Beijing Forestry Univ, Sch Econ & Management, Beijing 100091, Peoples R China
关键词
dual carbon; Likert scale; green consumption behavior; rural residents; influencing factors; structural equation modeling; PRIVATE PROVISION; ATTITUDES;
D O I
10.3390/su16135797
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The achievement of the dual-carbon objective and China's green and sustainable development are both heavily reliant on green consumption. This research paper employs the Likert scale method to construct a questionnaire encompassing internal and external factors that influence green consumption behavior, as well as various types of consumption behavior. It then administers the questionnaire to 1004 rural residents residing in the eastern, central, western, and northeastern regions of China, with the objective of gathering pertinent data on green consumption behavior. Drawing from the aforementioned, structural equation modeling was employed to investigate the impact of three external factors-market incentives, social pressure, and information boost-and two internal factors-environmental awareness and psychological factors-on diverse forms of green consumption behavior. The objective was to identify the most influential factors of various green consumption behaviors to facilitate the effective promotion of green consumption. The research findings indicate that internal factors exert a more substantial influence on green consumption behaviors compared to external factors. Specifically, market incentives ranks highest among the external determinants of green consumption behavior, and environmental protection cognition rank highest among the internal determinants of green consumption behavior.
引用
收藏
页数:24
相关论文
共 50 条
  • [21] Empirical Research of Social Norms Affecting Urban Residents Low Carbon Energy Consumption Behavior
    Mi Lingyun
    Nie Rui
    Li Hualong
    Li Xiaohua
    2010 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND DEVELOPMENT (ICEED2010), 2011, 5 : 229 - 234
  • [22] Analysis on Influencing Factors of the Tourism Consumption of Rural Residents
    Jin, Hong
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION TECHNOLOGY AND ECONOMIC MANAGEMENT, 2015, 22 : 459 - 465
  • [23] Carbon footprint of residents' online consumption in China
    Long, Ying
    Chen, Guangwu
    Wang, Yafei
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2023, 103
  • [24] Influencing factors and paths of direct carbon emissions from the energy consumption of rural residents in central China determined using a questionnaire survey
    Ma, Xiao-Wei
    Wang, Mei
    Lan, Jing-Ke
    LI, Chuan-Dong
    Zou, Le -Le
    ADVANCES IN CLIMATE CHANGE RESEARCH, 2022, 13 (05) : 759 - 767
  • [25] Using Social Network Analysis to Identify the Critical Factors Influencing Residents' Green Consumption Behavior
    Zhang, Changlu
    Tang, Liqian
    Zhang, Jian
    Wang, Zongshui
    SYSTEMS, 2023, 11 (05):
  • [26] Alcohol Consumption: A Psychosocial Investigation Factors Affecting Alcohol Consumption
    Kumaran, G. V. Abishek
    Vishnu Vardhan, M.
    INDIAN JOURNAL OF PSYCHIATRY, 2022, 64
  • [27] An Empirical Analysis of the Consumption Function of China's Rural Residents
    Huang Bing-hui
    Yin Xin-ke
    2009 ETP INTERNATIONAL CONFERENCE ON FUTURE COMPUTER AND COMMUNICATION (FCC 2009), 2009, : 179 - 181
  • [28] ICT adoption and tourism consumption among rural residents in China
    Zhu, Zhongkun
    Ma, Wanglin
    Leng, Chenxin
    TOURISM ECONOMICS, 2022, 28 (06) : 1669 - 1675
  • [29] Sustainable consumption: Green purchasing behaviours of urban residents in China
    Liu, Xianbing
    Wang, Can
    Shishime, Tomohiro
    Fujitsuka, Tetsuro
    SUSTAINABLE DEVELOPMENT, 2012, 20 (04) : 293 - 308
  • [30] The impact of education level on residents' carbon consumption in China
    Lin, Y-N
    Chiu, Y-H
    Chang, T-H
    Lin, T-Y
    Chiu, S-Y
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2023, 20 (09) : 9603 - 9618