Farm households in rural Burkina Faso: Some evidence on allocative and direct return to schooling, and male–female labor productivity differentials

1988 ◽  
Vol 16 (3) ◽  
pp. 419-424 ◽  
Author(s):  
Rati Ram ◽  
Ram D. Singh
Keyword(s):  
Burkina Faso ◽  
Labor Productivity ◽  
Farm Households ◽  
Female Labor ◽  
Return To Schooling ◽  
Productivity Differentials

Credit constraints and labour allocation decisions in rural Burkina Faso

2017 ◽  
Vol 77 (2) ◽  
pp. 257-274 ◽  
Author(s):  
Mohamed Porgo ◽  
John K.M. Kuwornu ◽  
Pam Zahonogo ◽  
John Baptist D. Jatoe ◽  
Irene S. Egyir
Keyword(s):  
Burkina Faso ◽  
Agricultural Production ◽  
Credit Constraints ◽  
Probit Model ◽  
Multinomial Logit Model ◽  
Farm Households ◽  
Content Type ◽  
Labour Market Participation ◽  
On Farm ◽  
Allocation Decisions

Purpose Credit is central in labour allocation decisions in smallholder agriculture in developing countries. The purpose of this paper is to analyse the effect of credit constraints on farm households’ labour allocation decisions in rural Burkina Faso. Design/methodology/approach The study used a direct elicitation approach of credit constraints and applied a farm household model to categorize households into four labour market participation regimes. A joint estimation of both the multinomial logit model and probit model was applied on survey data from Burkina Faso to assess the effect of credit constraint on the probability of choosing one of the four alternatives. Findings The results of the probit model showed that households’ endowment of livestock, access to news, and membership to an farmer-based organization were factors lowering the probability of being credit constrained in rural Burkina Faso. The multinomial logit model results showed that credit constraints negatively influenced the likelihood of a farm household to use hired labour in agricultural production and perhaps more importantly it induces farm households to hire out labour off farm. The results also showed that the other components of household characteristics and farm attributes are important factors determining the relative probability of selecting a particular labour market participation regime. Social implications Facilitating access to credit in rural Burkina Faso can encourage farm households to use hired labour in agricultural production and thereby positively impacting farm productivity and relieving unemployment pressures. Originality/value In order to identify the effect of credit constraints on farm households’ labour decisions, this study examined farm households’ decisions of hiring on-farm labour, supplying labour off-farm or simultaneously hiring on-farm labour and supplying family labour off-farm under credit constraints using the direct elicitation approach of credit constraints. To the best of the authors’ knowledge, this study is the first to examine this problem in Burkina Faso.

scholarly journals Does wage reflect labor productivity? A comparison between Brazil and the United States

2018 ◽  
Vol 38 (4) ◽  
pp. 629-649 ◽  
Author(s):  
ALEXANDRE GORI MAIA ◽  
ARTHUR SAKAMOTO
Keyword(s):  
United States ◽  
Economic Development ◽  
Labor Productivity ◽  
Wage Differentials ◽  
The United States ◽  
Occupational Groups ◽  
Economic Cycles ◽  
Productivity Differentials ◽  
The Relationship ◽  
The U.S

ABSTRACT The study compares the relationship between wages and labor productivity for different categories of workers in Brazil and in the U.S. Analyses highlight to what extent the equilibrium between wages and productivity is related to the degree of economic development. Wages in the U.S. has shown to be more attached to labor productivity, while Brazil has experienced several economic cycles were average earnings grew initially much faster than labor productivity, suddenly falling down in the subsequent years. Analyses also stress how wage differentials, in fact, match productivity differentials for certain occupational groups, while for others they do not.

scholarly journals Impacts of Health Services on Agricultural Labor Productivity of Rural Households in Burkina Faso

2020 ◽  
pp. 1-20
Author(s):  
Omer Combary ◽  
Salimata Traore
Keyword(s):  
Health Services ◽  
Burkina Faso ◽  
Labor Productivity ◽  
Rural Areas ◽  
Rural Households ◽  
Decision Makers ◽  
Farm Labor ◽  
Agricultural Labor ◽  
The Impact

Abstract This article has used the method of instrumental variables to evaluate the impact of health services on the productivity of rural households’ farming labor in Burkina Faso. The distance from the household's homestead to the Health and Social Promotion Center (HSPC) was considered as an instrumental variable. The results revealed that resorting to a HSPC in case of an unexpected illness in the rainy season significantly improves the farm labor productivity by FCFA 3170.5880 per person-day. For improving agricultural productivity, we suggest that public decision-makers should focus on the availability and the quality of HSPC services in rural areas.

scholarly journals Gender Inequality and Economic Growth

2020 ◽  
Vol 20 (119) ◽  
Author(s):  
Ata Can Bertay ◽  
Ljubica Dordevic ◽  
Can Sever
Keyword(s):  
Economic Growth ◽  
Gender Equality ◽  
Labor Productivity ◽  
Gender Inequality ◽  
Causal Effect ◽  
Value Added ◽  
Valuable Resource ◽  
Female Labor ◽  
Industry Growth ◽  
Ex Ante

We study whether higher gender equality facilitates economic growth by enabling better allocation of a valuable resource: female labor. By allocating female labor to its more productive use, we hypothesize that reducing gender inequality should disproportionately benefit industries with typically higher female share in their employment relative to other industries. Specifically, we exploit within-country variation across industries to test whether those that typically employ more women grow relatively faster in countries with ex-ante lower gender inequality. The test allows us to identify the causal effect of gender inequality on industry growth in value-added and labor productivity. Our findings show that gender inequality affects real economic outcomes.

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