Given the sudden outbreak of the COVID-19 pandemic,a timely study on the impacts of and policy response to the pandemic on rural poverty in China is critically important because China has aimed to completely eradicate...Given the sudden outbreak of the COVID-19 pandemic,a timely study on the impacts of and policy response to the pandemic on rural poverty in China is critically important because China has aimed to completely eradicate extreme poverty by the end of 2020.This paper uses data from the latest round of a nationally representative household panel survey to examine the impacts of the pandemic on rural poverty in China.Our data show that 11.9%of sample households were ever officially registered as poor households between 2013 and 2019,and this poverty incidence fell to 2.7%by the end of 2019.In the middle February of 2020,23%of the households who have graduated from poverty since 2013 perceived that they would fall back into poverty due to the COVID-19.Among those never poor households,7.1%perceived that they would possibly fall into poverty due to the pandemic.Results from both descriptive and multivariate analyses consistently show the interruptions that the pandemic caused in off-farm employment is an important channel that led households to perceive of falling back into or falling into poverty.We also find households in the bottom four quintiles when ranked in terms of household income per capita are much more likely to perceive themselves of falling back into or falling into poverty during this pandemic than those in the richest quintile.Meanwhile,our results show that the education and age of household heads,as well as being from Hubei Province matter in explaining household perception about falling back into or falling into poverty in some cases but not all.The paper concludes with a set of policy responses that China has taken to mitigate the impact of COVID-19 pandemic on poverty alleviation.展开更多
This study aims to investigate two important issues: what are the determinants of public goods investment and what is the government's investment behavior in mountainous areas. The impacts of natural conditions, t...This study aims to investigate two important issues: what are the determinants of public goods investment and what is the government's investment behavior in mountainous areas. The impacts of natural conditions, target, and demand elements on public goods investment are analyzed with statistical method, and the determinants of public goods investment in the areas are obtained by using population-weighted and stepwise regression models with Eviews6.0 software with survey data in 2008 and calculated data based on GIS of 20 typical villages in mountainous regions in Sichuan, China. The results showed:(1) natural conditions are the important determinants of public investment. Mountainous villages with steep slope have relatively high levels of investment;(2) concentration of population and the educational levels of the village leaders also have important impacts on public goods investment;(3) the government is more concerned with public investment resources particularly in areas characterized by fragile ecological environment and poor agricultural output. These results suggest that the current investment strategy helps to reduce disparities in regional development.展开更多
基金We would like to thank all the farmers,village leaders,and enumerators for their participation in this studyacknowledge the financial supports of the National Social Science Foundation of China(19ZDA002)the National Natural Science Foundation of China(71742002,71861147003,71925009,and 71934003).
文摘Given the sudden outbreak of the COVID-19 pandemic,a timely study on the impacts of and policy response to the pandemic on rural poverty in China is critically important because China has aimed to completely eradicate extreme poverty by the end of 2020.This paper uses data from the latest round of a nationally representative household panel survey to examine the impacts of the pandemic on rural poverty in China.Our data show that 11.9%of sample households were ever officially registered as poor households between 2013 and 2019,and this poverty incidence fell to 2.7%by the end of 2019.In the middle February of 2020,23%of the households who have graduated from poverty since 2013 perceived that they would fall back into poverty due to the COVID-19.Among those never poor households,7.1%perceived that they would possibly fall into poverty due to the pandemic.Results from both descriptive and multivariate analyses consistently show the interruptions that the pandemic caused in off-farm employment is an important channel that led households to perceive of falling back into or falling into poverty.We also find households in the bottom four quintiles when ranked in terms of household income per capita are much more likely to perceive themselves of falling back into or falling into poverty during this pandemic than those in the richest quintile.Meanwhile,our results show that the education and age of household heads,as well as being from Hubei Province matter in explaining household perception about falling back into or falling into poverty in some cases but not all.The paper concludes with a set of policy responses that China has taken to mitigate the impact of COVID-19 pandemic on poverty alleviation.
基金the National Natural Science Foundation of China’s General Program (Grant NO. 41071350)the Main Direction Program of Knowledge Innovation of Chinese Academy of Sciences (KZCX2-EW-317)+1 种基金the Chinese Academy of Western Light (09R2340340) "Hundred Talents" project of Chinese Academy of Sciences: "Community Governance, Rural Tax Reform and Public Investment in Rural Areas" for their funding
文摘This study aims to investigate two important issues: what are the determinants of public goods investment and what is the government's investment behavior in mountainous areas. The impacts of natural conditions, target, and demand elements on public goods investment are analyzed with statistical method, and the determinants of public goods investment in the areas are obtained by using population-weighted and stepwise regression models with Eviews6.0 software with survey data in 2008 and calculated data based on GIS of 20 typical villages in mountainous regions in Sichuan, China. The results showed:(1) natural conditions are the important determinants of public investment. Mountainous villages with steep slope have relatively high levels of investment;(2) concentration of population and the educational levels of the village leaders also have important impacts on public goods investment;(3) the government is more concerned with public investment resources particularly in areas characterized by fragile ecological environment and poor agricultural output. These results suggest that the current investment strategy helps to reduce disparities in regional development.
