How does digital literacy impact household carbon emissions? Evidence from household survey in China

被引:0
|
作者
Liu, Han [1 ]
Zhang, Yushu [1 ]
Zhang, Yingliang [2 ,3 ]
机构
[1] Southwest Univ, Coll Econ & Management, Chongqing 400715, Peoples R China
[2] Southwest Univ, Business Coll, Chongqing 402460, Peoples R China
[3] Southwest Univ, Rural Econ & Management Res Ctr, Chongqing 400715, Peoples R China
关键词
Household carbon emissions; Consumption behavior; Digital literacy; Household life cycle; Government governance; Ecological risk perception; ENERGY-CONSUMPTION; DIOXIDE EMISSIONS;
D O I
10.1016/j.sftr.2024.100220
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the background of rapid development of digital technology, exploring the relationship between residents' digital literacy (DL) and household carbon emissions (HCEs) is of great practical significance for China to achieve the carbon peak carbon neutral goal. Based on the three-period panel data of the China Family Panel Survey (CFPS) 2016-2020, we categorized digital literacy into digital learning, digital socialization, and digital consumption, and explored the impact of digital literacy on HCEs and its mechanisms. We find that digital literacy significantly and positively affects HCEs, while household life cycle, government governance, and ecological risk perception have a negative moderating effect on digital literacy affecting HCEs respectively. We also find that DL has the largest impact coefficient on HCEs from developmental consumption compared to survival and enjoyment consumption, and that DL has a more significant impact on HCEs from the consumption of young and middle-aged residents compared to older residents. These findings suggest that the dissemination of information and knowledge about carbon emissions through digital technologies, such as Internet platforms, can strengthen residents' awareness of environmental protection and thus promote their low-carbon consumption behavior.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Indirect carbon emissions in household consumption: evidence from the urban and rural area in China
    Wang, Zhaohua
    Yang, Lin
    [J]. JOURNAL OF CLEANER PRODUCTION, 2014, 78 : 94 - 103
  • [32] How does the digital economy affect carbon emissions from tourism? Empirical evidence from China
    Wang, Liguo
    Zhao, Haoxiang
    Liu, Jiawei
    He, Taiyi
    Zhu, Hai
    Liu, Yiming
    [J]. JOURNAL OF CLEANER PRODUCTION, 2024, 469
  • [33] What does the digital economy bring to household carbon emissions? - From the perspective of energy intensity
    Du, Zhili
    Xu, Jie
    Lin, Boqiang
    [J]. APPLIED ENERGY, 2024, 370
  • [34] Does digital finance increase household risk-taking? Evidence from China
    Hu, Debao
    Guo, Fang
    Shang, Jianing
    Zhang, Xinyue
    [J]. INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2024, 93 : 1197 - 1210
  • [35] Rural household food consumption in China: Evidence from the rural household survey.
    Han, T
    Cramar, GL
    Wahl, TI
    [J]. JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS, 1997, 22 (02): : 402 - 403
  • [36] Impact of marginal and intergenerational effects on carbon emissions from household energy consumption in China
    Hu, Zhen
    Wang, Mei
    Cheng, Zhe
    Yang, Zhenshan
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 273
  • [37] Does the business environment promote entrepreneurship?-- Evidence from the China Household Finance Survey
    Yu, Linhui
    Tang, Xuepeng
    Huang, Xianhai
    [J]. CHINA ECONOMIC REVIEW, 2023, 79
  • [38] How Does Mortgage Debt Affect Household Consumption? Micro Evidence from China
    Fan, Ying
    Yavas, Abdullah
    [J]. REAL ESTATE ECONOMICS, 2020, 48 (01) : 43 - 88
  • [39] Decoupling Effect of Household Carbon Emissions in China
    Jiao, Jian-Ling
    Pang, Jie
    Li, Lan-Lan
    [J]. 2015 2ND INTERNATIONAL CONFERENCE ON EDUCATION AND SOCIAL DEVELOPMENT, ICESD 2015, 2015, : 1020 - 1024
  • [40] How does green finance impact carbon emissions in China: Evidence from the fintech perspective
    Cheng X.
    Qian Y.
    Wang B.
    [J]. Environmental Science and Pollution Research, 2024, 31 (31) : 44169 - 44190