多元概率模型
Probit模型
有序概率单位
消费(社会学)
普罗比特
能源消耗
环境卫生
多元统计
持续性
业务
农业经济学
社会经济学
家庭收入
经济
能量(信号处理)
农村地区
计量经济学
地理
医学
工程类
统计
电气工程
生态学
病理
社会学
生物
考古
数学
社会科学
作者
Martinson Ankrah Twumasi,Yuansheng Jiang,Bismark Addai,Dennis Asante,Dan Liu,Zhao Ding
标识
DOI:10.1016/j.spc.2021.06.005
摘要
This study examines the determinants of the choice of cooking energy among households and further focuses on the quantitative impact of clean cooking energy consumption on rural household members’ health status using survey data from Ghana. The multivariate probit model was used to analyses the determinants of the choice of cooking energy while the endogenous switching regression model was employed to examine the impacts of clean cooking energy consumption on household members’ health. The empirical results from the multivariate probit model depicted that the choice of cooking energy is positively and significantly influenced by household/householder education, access to the Internet, off-farm work, non-fixed assets and credit, and a household having a member residing in an urban area. Regarding the endogenous switching regression model findings, it was revealed that clean cooking energy consumption can help increase the share of healthy household members by 19.11%. Finally, compared with males, the impact of clean cooking energy consumption on the share of healthy female members is more prominent. Our findings provide policy implications to improve rural energy sustainability development.
科研通智能强力驱动
Strongly Powered by AbleSci AI