The Threshold Characteristics of the Poverty Reduction Effect of Educational Financial Expenditure-Analysis of Panel Data in Chongqing, China from 2009 to 2018

2021 ◽  
Author(s):  
Zhenzhen Hu ◽  
Yuanpeng Duan
Keyword(s):  
Panel Data ◽  
Poverty Reduction ◽  
Financial Expenditure ◽  
Reduction Effect

Tourism and poverty reduction: Empirical evidence from China

2019 ◽  
Vol 26 (2) ◽  
pp. 233-256 ◽  
Author(s):  
Lei Zhao ◽  
Xin Xia
Keyword(s):  
Panel Data ◽  
Empirical Evidence ◽  
Empirical Analysis ◽  
Poverty Reduction ◽  
The Poor ◽  
Reduction Effect ◽  
The Relationship ◽  
The Empirical Analysis ◽  
Positive Effect ◽  
Distribution Of Income

This study empirically examines whether tourism affects poverty reduction based on the panel data of Chinese provinces for the period from 1999 to 2014. Using more comprehensive Foster–Greer–Thorbecke index to decompose poverty into three indices, namely, headcount ratio, poverty gap, and poverty severity, we investigate the relationship between tourism and poverty indices within a single framework. The empirical analysis indicates that tourism has a positive effect on poverty reduction and the concomitant inequality in the distribution of income among the poor could weaken the poverty reduction effect of tourism. China’s western provinces confirm a stronger relationship between tourism and poverty reduction, although the effect of tourism on poverty in the eastern provinces is nearly negligible. We also identify possible mechanisms by which tourism may have an impact on poverty. The results provide empirical evidence to provide an improved assessment of the pro-poor effect of tourism in China.

The Dynamics of Poverty

2017 ◽  
Author(s):  
Anirudh Krishna
Keyword(s):  
Panel Data ◽  
Social Mobility ◽  
Mixed Method ◽  
Poverty Reduction ◽  
Poverty Dynamics ◽  
Future Directions ◽  
Chronic Poverty ◽  
Ethnographic Studies ◽  
The Social

This article examines the dynamics of poverty and explains why poverty dynamics studies are necessary: to estimate the risk of impoverishment and the probability of escaping poverty; to identify the reasons associated with poverty descents and escapes; to distinguish between transient and chronic poverty; and to elucidate the social mobility prospects of individuals in different economic situations. The article begins with an overview of three types of approaches used in investigating poverty dynamics: panel data studies, participatory poverty assessments and ethnographic studies, and mixed-method studies. This is followed by a discussion of key findings from poverty dynamics studies; one finding is that poverty creation and poverty reduction occur everywhere in tandem. The article concludes by outlining future directions for research into poverty dynamics.

scholarly journals Measuring Improvement of Economic Condition in State-Owned Forest Farms’ in China

2020 ◽  
Vol 12 (4) ◽  
pp. 1593 ◽  
Author(s):  
Rongyuan Chen ◽  
Wenhui Chen ◽  
Mingxing Hu ◽  
Wei Huang
Keyword(s):  
Economic Development ◽  
Poverty Alleviation ◽  
Capital Investment ◽  
Poverty Reduction ◽  
Positive Impact ◽  
Control Group ◽  
Chinese State ◽  
The Difference ◽  
Reduction Effect ◽  
Forest Farm

An important policy cornerstone for China to reduce poverty includes China’s goal of achieving complete poverty alleviation in its state-owned forest farms by 2020. This study describes and documents the poverty reduction effect in impoverished Chinese state-owned forest farms. Based on a sample of 4855 state-owned forest farms in 31 provinces in China from 2008 to 2017, this paper uses the difference-in-difference method to study the dynamic process of poverty reduction by policies for impoverished state-owned forest farms. The results show that the implementation of the policy significantly promoted the economic development of impoverished state-owned forest farms and caused the treatment group to increase by approximately 10.6% over the control group. Moreover, the establishment of a list of impoverished state-owned forest farms had an indirect impact on the economic performance of forest farms, through channels such as infrastructure poverty alleviation, human capital investment, and per capita income of forest farm employees. Additionally, the effects of the policy on non-impoverished counties were stronger than that on impoverished counties, and impoverished state-owned forest farms may not appear in impoverished counties. The degree of financial dependence of the local government had a significant positive impact on the economic development of impoverished state-owned forest farms. The effects of the policy on different forest farms were heterogeneous. Our study provides recommendations for the future development of impoverished Chinese state-owned forest farms and for the improvement of poverty alleviation efficiency.

scholarly journals Does Social Medical Insurance Achieve a Poverty Reduction Effect in China?

2022 ◽  
Vol 9 ◽  
Author(s):  
Ji-Le Sun ◽  
Ran Tao ◽  
Lei Wang ◽  
Li-Min Jin
Keyword(s):  
Utility Maximization ◽  
Poverty Reduction ◽  
Positive Impact ◽  
Medical Insurance ◽  
Causal Link ◽  
Insurance Reform ◽  
Insurance Reimbursement ◽  
Reduction Effect ◽  
Social Medical Insurance ◽  
The Impact

This paper aims to explore the impact of social medical insurance (SMI) on poverty reduction (PR) in China. Considering the time-varying characteristics of factors, this paper uses the bootstrap Granger full sample causality and subsample rolling window model to find the relationship between SMI and PR. The results highlight that in some periods, there is a bidirectional causal link between SMI and PR. Influenced by the medical insurance reform and medication measures. Social medical insurance does not have a positive impact on poverty reduction in some periods. These results are supported by the Utility Maximization Model of Insurance Consumption, which highlights that individuals make utility maximization choices when choosing insurance. The effect of medical insurance on poverty alleviation depends on whether an individual's investment in medical insurance can maximize its utility. If the proportion of social medical insurance reimbursement is too low, individuals will give up buying social medical insurance. Thus, the anti-poverty effect of social medical insurance is difficult to achieve. Therefore, authorities need to pay attention to specific contexts and social medical insurance policies and further improve the social medical insurance system to promote the realization of the anti-poverty of social medical insurance.

scholarly journals Poverty reduction in rural China: Does the digital finance matter?

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261214
Author(s):  
Boou Chen ◽  
Chunkai Zhao
Keyword(s):  
Rural Areas ◽  
Poverty Reduction ◽  
Rural China ◽  
Rural Households ◽  
Research Field ◽  
Absolute Poverty ◽  
Financial Policies ◽  
Variable Approach ◽  
Reduction Effect ◽  
Financial Technology

As digital finance is widely spread and applied in China, this new format of financial technology could become a new way to reduce poverty in rural areas. By matching digital financial indexes of the prefectural-level cities with microdata on rural households from the China Household Finance Survey (CHFS) in 2017, we find that digital finance significantly suppresses absolute poverty and relative poverty among rural households in China, which is supported by a series of robustness tests, such as the instrumental variable approach, using alternative specifications, and excluding extreme observations. Additionally, we provide evidence that the poverty reduction effect of digital finance is likely to be explained by alleviating credit constraints and information constraints, broadening social networks, and promoting entrepreneurship. Our findings further complement the research field on financial poverty reduction and offer insights for the development of public financial policies of poverty reduction in other countries, especially in some developing countries.

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