scholarly journals Analysis on the Income Effect of Farmers’ Cooperative Management: Based on the Chinese Practice

2020 ◽  
Vol 15 (12) ◽  
pp. 103
Author(s):  
Wen Hua
Keyword(s):  
Labor Force ◽  
Supply And Demand ◽  
Household Survey ◽  
Pareto Improvement ◽  
Cooperative Management ◽  
Agricultural Economy ◽  
Equal Distribution ◽  
Agricultural Employment ◽  
National Household Survey ◽  
Household Survey Data

This paper makes a theoretical analysis of farmers' income and career choice under the two modes of traditional and cooperative management, demonstrates the "direct effect" and "indirect effect" of cooperative operation on farmers' income, and puts forward three influence mechanisms: (1) cooperative operation improves traditional agricultural operation through institutional advantages, making agricultural economy obtain Pareto improved income by operational efficiency; (2) cooperative operation can adjust the imbalance between supply and demand of skilled labor between agricultural and non-agricultural sectors, which makes agricultural economy obtain Pareto improvement income by optimizing the use of labor elements; (3) cooperative operation reduces the skill leverage of non-agricultural employment of labor force under the traditional agricultural management model by providing more career choices for labor force, and promotes the equal distribution of farmers' income. On this basis, this paper apply the 1995-2018 National Household Survey Data, using the continuous DID model to verify the mechanism of cooperative operation on farmers' income.

Does coffee production reduce poverty? Evidence from Uganda

2017 ◽  
Vol 7 (3) ◽  
pp. 260-274
Author(s):  
Swaibu Mbowa ◽  
Tonny Odokonyero ◽  
Tony Muhumuza ◽  
Ezra Munyambonera
Keyword(s):  
Poverty Reduction ◽  
Smallholder Farmers ◽  
Household Survey ◽  
Qualitative Assessment ◽  
Coffee Production ◽  
Content Type ◽  
National Household Survey ◽  
Household Survey Data ◽  
Quantile Treatment Effect ◽  
Evaluation Techniques

Purpose The purpose of this paper is to examine the effect of coffee production on poverty among smallholder farmers. Design/methodology/approach National Household Survey data for Uganda were triangulated with qualitative field data. A mix of propensity score matching (PSM) and quantile treatment effect techniques was employed. Findings The results reveal a significant effect of coffee production on poverty reduction, through incremental household consumption expenditure. Households engaged in coffee production are associated with a lower incidence of poverty. The interesting evidence suggests that coffee production is a pro-poor intervention. These findings are confirmed by qualitative assessment that reveals farmers’ welfare improved to greater extent to satisfactory levels from coffee income. Research limitations/implications Econometrically robust strategies were employed to ensure minimal estimation bias; however, the authors are mindful of PSM limitation of selection on observables. Originality/value This paper is part of a limited body of literature that combines quantitative and qualitative assessment, a growing issue in contemporary research. In addition to employing one of the conventional impact evaluation techniques, the paper accounts for heterogeneity in the effects of coffee production.

scholarly journals Risk factors for vaginal fistula symptoms in Sub-Saharan Africa: a pooled analysis of national household survey data

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Mathieu Maheu-Giroux ◽  
Véronique Filippi ◽  
Nathalie Maulet ◽  
Sékou Samadoulougou ◽  
Marcia C. Castro ◽  
...  
Keyword(s):  
Risk Factors ◽  
Survey Data ◽  
Household Survey ◽  
Pooled Analysis ◽  
Sub Saharan Africa ◽  
Vaginal Fistula ◽  
National Household Survey ◽  
Household Survey Data ◽  
Sub Saharan

scholarly journals Middle class vulnerability to covid-19 pandemic effects and government measures in Metropolitan Lima

2021 ◽  
pp. 88-111
Author(s):  
Hans Adrian Bürkli Bürkli ◽  
Jorge Hernández Garavito ◽  
Diego Alberto Mendoza García ◽  
Franco Alberto Riva Zaferson
Keyword(s):  
Middle Class ◽  
Social Protection ◽  
Household Survey ◽  
Government Policies ◽  
Vulnerability Factors ◽  
Financial Variables ◽  
Study Results ◽  
National Household Survey ◽  
Household Survey Data ◽  
Definition Of

Using National Household Survey data, this study examines the situation of Peruvian middle class households in Metropolitan Lima and Callao prior to the COVID-19 pandemic through financial and non-financial variables in order to identify vulnerability factors in the overall population and in income quintiles.The analysis has revealed that health, income and labor are the most vulnerable indicators and could be heavily affected by government measures against COVID-19, such as mandatory social isolation (lockdown), social distancing, and movement and gathering restrictions. In this context, households in the lowest quintile are substantially more susceptible to falling into poverty due to economic instability, labor informality and lack of social protection. The study results suggest that the definition of “vulnerability” needs to go beyond poverty measurements to improve the focalization of government policies and strategies in similar crises.

scholarly journals Prevalence of symptoms of vaginal fistula in 19 sub-Saharan Africa countries: a meta-analysis of national household survey data

2015 ◽  
Vol 3 (5) ◽  
pp. e271-e278 ◽  
Author(s):  
Mathieu Maheu-Giroux ◽  
Véronique Filippi ◽  
Sékou Samadoulougou ◽  
Marcia C Castro ◽  
Nathalie Maulet ◽  
...  
Keyword(s):  
Survey Data ◽  
Meta Analysis ◽  
Household Survey ◽  
Sub Saharan Africa ◽  
Vaginal Fistula ◽  
National Household Survey ◽  
Household Survey Data ◽  
Sub Saharan
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