E-commerce development, time allocation and the gender division of labour: evidence from rural China

中国 授权 经济增长 业务 面板数据 时间分配 农村地区 人口经济学 经济 政治学 管理 计量经济学 法学
作者
Yutong Li,Lan Zhou
出处
期刊:Applied Economics Letters [Taylor & Francis]
卷期号:: 1-6
标识
DOI:10.1080/13504851.2023.2270224
摘要

ABSTRACTE-commerce is critical to rural women’s career development. From the perspective of labour supply, this study investigates the impact of e-commerce development in rural areas on individuals’ time allocation and households’ gender labour division. Based on the quasi-natural experiment of the Rural E‐Commerce Demonstration County Program in China, we use the data of a large-scale survey from China Family Panel Studies (CFPS), and construct a difference-in-difference model to obtain the policy impact. Empirical evidence shows that e-commerce development promotes rural women’s part-time employment by crowding out their leisure time, while has no impact on the time allocation of rural men. Besides, e-commerce development fails to increase women’s entrepreneurship or modify the traditional gender division of labour in the household. The results demonstrate the benefits and shortcomings of e-commerce for rural women empowerment from a new perspective, indicating that more favourable policies should be introduced to support women’s digital skill improvement and entrepreneurial activities.KEYWORDS: E-commercewomen empowermenttime allocationgender labour divisionrural developmentJEL CLASSIFICATION: D1L51Q12J16 Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Data collected from ‘Digital Economy and Chinese Women’s Employment and Entrepreneurship Report’ published by The Ali Institute in March 2022.2 The county predetermined characteristics variables include whether it is a state poverty county, an old revolutionary area, or a provincial capital, total amount of post and telecommunications services (in billion yuan), cell phone subscribers and Internet broadband access subscribers (in ten thousands) in 2012.3 1369 individuals are treated in 2015, 1770 individuals are treated in 2016, 702 households are treated in 2017 and 1464 households are treated in 2018.4 Main Occupation Time is calculated from the weekly hours of work in the individual’s main occupation in the past 12 months from the CFPS questionnaire; Part-time Jobs is calculated by summing all weekly hours spent on the part-time occupation up to the time of the visit; Housework Time is calculated by summing housework time during weekdays and weekends; Leisure Time is calculated by summing the time spent on exercise, recreation, and Internet use during weekdays. The above variables are expressed in hours per week.Additional informationFundingThis study is supported by the Fundamental Research Funds for the Central Universities, the Research Funds of Renmin University of China (21XNH066)
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
潇风完成签到,获得积分10
刚刚
火星上的听筠完成签到,获得积分10
2秒前
高挑的葵阴完成签到,获得积分10
3秒前
5秒前
Akim应助专注的小懒虫采纳,获得10
7秒前
dfgv完成签到,获得积分10
10秒前
蓝天发布了新的文献求助50
10秒前
领导范儿应助潇风采纳,获得10
11秒前
Anatee完成签到,获得积分10
13秒前
14秒前
科研通AI6.3应助手抓饼啊采纳,获得10
16秒前
MoodMeed完成签到,获得积分10
18秒前
赘婿应助kevin采纳,获得10
21秒前
22秒前
科研通AI6.4应助土土土采纳,获得10
26秒前
26秒前
27秒前
迅速尔冬发布了新的文献求助20
29秒前
30秒前
31秒前
年轻南烟发布了新的文献求助10
31秒前
Demi完成签到,获得积分10
31秒前
kevin发布了新的文献求助10
33秒前
专注的小懒虫完成签到,获得积分10
34秒前
大神完成签到 ,获得积分10
36秒前
万能图书馆应助white采纳,获得10
36秒前
未来可期发布了新的文献求助10
36秒前
蓝天发布了新的文献求助10
37秒前
少吃一口完成签到,获得积分10
38秒前
英姑应助贾克斯采纳,获得10
39秒前
初景发布了新的文献求助10
41秒前
41秒前
ding应助暴躁的芷巧采纳,获得10
42秒前
44秒前
49秒前
shirely完成签到,获得积分10
50秒前
手抓饼啊发布了新的文献求助10
52秒前
xie发布了新的文献求助10
54秒前
华仔应助moonlin采纳,获得10
57秒前
57秒前
高分求助中
Signals, Systems, and Signal Processing 610
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics,2025 500
Circular Polar Constellations Providing Continuous Single or Multiple Coverage Above a Specified Latitude 400
Burger's Medicinal Chemistry and Drug Discovery 400
Probability and Stochastic Processes 333
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6746110
求助须知:如何正确求助?哪些是违规求助? 8476204
关于积分的说明 18079099
捐赠科研通 6018360
什么是DOI,文献DOI怎么找? 3005001
邀请新用户注册赠送积分活动 1981735
关于科研通互助平台的介绍 1948224