Reducing energy poverty by nearly universal pension coverage of rural China

经济 贫穷 内生性 消费(社会学) 能源匮乏 退休金 能源消耗 劳动经济学 人口经济学 发展经济学 经济增长 计量经济学 医学 生物 病理 社会学 社会科学 替代医学 灵丹妙药 生态学 财务
作者
Jianglong Li,Jinfeng Gao,Hongxun Liu
出处
期刊:World Development [Elsevier BV]
卷期号:176: 106524-106524 被引量:5
标识
DOI:10.1016/j.worlddev.2023.106524
摘要

This paper estimates the causal effect of income change on reducing energy poverty by exploiting age-based eligibility for China's New Rural Pension Scheme (NRPS) through a regression discontinuity (RD) design. More than one billion people worldwide live in energy poverty, and the situation is even more difficult in developing world. It is an important development challenge to reduce energy poverty, which could be further associated with health outcome, labor productivity, and educational achievements. While public policies that increase income for poor households are the most direct ways to reduce energy poverty, the reverse causality makes establishing a convincing causal link between income and energy poverty challenging. Using the quasi-experimental variation in income induced by NRPS, this paper addresses the endogeneity of income and examines the impact of exogenous sharp changes in income on energy consumption behaviors. The findings indicate substantial increases in modern energy consumption and sizable reductions in solid fuels (e.g., straw and fuelwood), suggesting that "windfall income" by pension coverage alleviates energy poverty. Although individuals could anticipate the income shocks by pension coverage, the evidence suggests that they do not engage in anticipatory responses to smooth their consumption. Further evidence shows that liquidity constraints may be the underlying mechanism for the lack of anticipatory responses in household energy consumption. Besides reducing energy poverty, the results demonstrate that pension coverage leads to a decrease in elderly labor supply, an increase in subjective health and life satisfaction, and an increase in non-energy consumption, all of which are positively associated with the well-beings of senior citizens. We anticipate that the findings of this paper in the context of China may be extended to developing world which has been expected to set up targeted measures to tackle energy poverty in upcoming decades.

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
高大的高山完成签到,获得积分20
刚刚
wanci应助123采纳,获得10
刚刚
刚刚
示羊完成签到,获得积分10
刚刚
独特忆灵完成签到,获得积分10
刚刚
wzx发布了新的文献求助10
1秒前
1秒前
我是老大应助虚拟的寻真采纳,获得10
1秒前
2233完成签到 ,获得积分10
1秒前
feisun发布了新的文献求助10
2秒前
2秒前
科研通AI6.2应助羽羽采纳,获得10
2秒前
Sun_Y完成签到,获得积分10
3秒前
做梦完成签到,获得积分10
3秒前
今后应助MuMu采纳,获得10
4秒前
4秒前
大个应助huayan采纳,获得10
4秒前
1700360436完成签到,获得积分10
4秒前
单纯以云发布了新的文献求助10
4秒前
深情安青应助花花采纳,获得10
5秒前
5秒前
5秒前
can完成签到,获得积分20
5秒前
5秒前
jinmei2025完成签到,获得积分10
6秒前
6秒前
6秒前
慕青应助当代采纳,获得10
7秒前
搞怪的凡梦完成签到,获得积分10
7秒前
孟大山发布了新的文献求助10
7秒前
香蕉亦竹发布了新的文献求助10
7秒前
小新爱蜡笔完成签到,获得积分10
8秒前
Xie完成签到,获得积分10
8秒前
冯嘉烨发布了新的文献求助10
8秒前
戚薇发布了新的文献求助10
8秒前
9秒前
linxi完成签到,获得积分10
9秒前
饼饼完成签到,获得积分10
9秒前
10秒前
Hello应助wang154采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
SIEMENS EDA Calibre SVRF (Standard Verification Rule Format) Manual 2021 600
Matrix Methods in Data Mining and Pattern Recognition 510
Interactions of Vowel Quality and Prosody in East Slavic 500
Vander's Renal Physiology第10版 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7089600
求助须知:如何正确求助?哪些是违规求助? 8746870
关于积分的说明 18501141
捐赠科研通 6638312
什么是DOI,文献DOI怎么找? 3135454
关于科研通互助平台的介绍 2241625
邀请新用户注册赠送积分活动 2110299