scholarly journals Transient Poverty, Poverty Dynamics, and Vulnerability to Poverty: An Empirical Analysis Using a Balanced Panel from Rural China

2016 ◽  
Vol 78 ◽  
pp. 541-553 ◽  
Author(s):  
Patrick S. Ward
Keyword(s):  
Empirical Analysis ◽  
Rural China ◽  
Poverty Dynamics ◽  
Vulnerability To Poverty ◽  
Transient Poverty

scholarly journals The poverty dynamics in rural China during 2000–2014: A multi-scale analysis based on the poverty gap index

2018 ◽  
Vol 28 (10) ◽  
pp. 1427-1443 ◽  
Author(s):  
Qiang Ren ◽  
Qingxu Huang ◽  
Chunyang He ◽  
Mengzhao Tu ◽  
Xiaoying Liang
Keyword(s):  
Rural China ◽  
Scale Analysis ◽  
Poverty Dynamics ◽  
Multi Scale ◽  
Multi Scale Analysis

Chronic and transient poverty in rural China

2013 ◽  
Vol 119 (3) ◽  
pp. 284-286 ◽  
Author(s):  
Guanghua Wan ◽  
Yuan Zhang
Keyword(s):  
Rural China ◽  
Transient Poverty

scholarly journals Transient Poverty in Rural China

1999 ◽  
Author(s):  
Martin Ravallion ◽  
Jyotsna Jalan
Keyword(s):  
Rural China ◽  
Transient Poverty

scholarly journals The nature of chronic and transient poverty: analyzing poverty dynamics in Nepal

2015 ◽  
pp. 103-115
Author(s):  
Prabin Khanal
Keyword(s):  
The State ◽  
Living Standard ◽  
Poverty Dynamics ◽  
Cross Sectional ◽  
Welfare Level ◽  
Chronic Poverty ◽  
Transient Nature ◽  
Transient Poverty

Cross sectional data are widely applied for studying and analyzing poverty at a particular point in time. However, it does not incorporate the changes in welfare level of an individual over a period in time. This paper uses the concept of poverty dynamics for studying the chronic and transient nature of poverty in different areas of Nepal. Using the data of Nepal Living Standard Survey (NLSS) of 1995/96 and 2003/04, this study reveals that the concentration of chronic poverty is larger than the transient poverty. Policies required for taking out chronic and transient poor from the state of poverty should be applied in a different way.DOI: http://dx.doi.org/10.3126/ejdi.v15i1-2.11870Economic Journal of Development Issues Vol. 15 & 16 No. 1-2, pp. 102-115

An empirical analysis of credit-financed agribusiness investments and income poverty dynamics of rural women in Cameroon

2020 ◽  
Vol 51 (1) ◽  
pp. 72-89 ◽  
Author(s):  
Jude Ndzifon Kimengsi ◽  
Roland Azibo Balgah ◽  
Gertrud Buchenrieder ◽  
Magdalene Silberberger ◽  
Hene Pridedinorah Batosor
Keyword(s):  
Empirical Analysis ◽  
Rural Women ◽  
Income Poverty ◽  
Poverty Dynamics

Digital financial inclusion and vulnerability to poverty: evidence from Chinese rural households

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiuhua Wang ◽  
Yang Fu
Keyword(s):  
Poverty Reduction ◽  
Large Scale ◽  
Labour Force ◽  
Rural China ◽  
Rural Households ◽  
Household Survey ◽  
Financial Inclusion ◽  
Mediation Effect ◽  
Content Type ◽  
Vulnerability To Poverty

PurposeDigital finance has the transformative power to realise financial inclusion. However, evidence on the relationship between digital finance and poverty reduction remains limited. This study examines the mitigating effects of digital financial inclusion (DFI) on vulnerability to poverty in rural China, explores potential mechanisms at the micro-level, and investigates the external conditions for DFI to validate these effects.Design/methodology/approachRural household data from the China Labour Force Dynamics Survey and the regional DFI index compiled by Peking University are used. The probit and mediation effect models are employed to assess the impacts of the DFI on vulnerability to poverty and explore its mechanisms, with an appropriate instrumental variable to mitigate potential endogeneity.FindingsDFI can mitigate vulnerability to poverty in Chinese rural households. Specifically, both sub-indices – coverage breadth and depth of use – have a significant effect. Further analyses based on the mediation model show that improving agricultural productivity, stimulating entrepreneurial activities and promoting non-agricultural employment are the core mechanisms for alleviating poverty vulnerability. Heterogeneity analysis shows that DFI is pro-poor and benefits those who lack economic opportunities. Moreover, adequate endowment in rural households, such as production and human capital, is an external condition for digital finance to mitigate vulnerability to poverty.Originality/valueThis study is among the first to examine the vulnerability-mitigation effects from the perspective of digital finance development, relying on data from a large-scale, nationwide household survey and the regional DFI index. It also checks for the mechanisms and heterogeneity of the effects, which prove the effects can help balance efficiency and equity.

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