EconPapers    
Economics at your fingertips  
 

Can human capital variables be technology changing? An empirical test for rural households in Burkina Faso

Fleur Wouterse

Journal of Productivity Analysis, 2016, vol. 45, issue 2, 157-172

Abstract: In this article, we assess the role that human capital indicators play as technology changing variables in smallholder households in Burkina Faso. We use recent nationally representative household level data and regression analysis to empirically assess the role of weight-for-height, formal education and age of adult household members active in agriculture, in smallholder production. Recognizing the endogeneity of weight-for-height and variable inputs, we use instrumental variables regression and model the coefficients in the production function as functions of human capital variables. Our results reveal that human capital indicators can indeed be considered as technology-changing affecting both the slope and the intercept of the production function. Weight-for-height enhances returns to land but negatively affects returns to female labor. Formal education enhances the productivity of male labor but negatively affects returns to land. Differentiating households by landholding quintiles reveals that the technology changing role of human capital variables is much more evident for households with larger landholdings. Copyright Springer Science+Business Media New York 2016

Keywords: Human capital; Rural households; Production function; West Africa; D13; I00; C36 (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11123-015-0457-8 (text/html)
Access to full text is restricted to subscribers.

Related works:
Journal Article: Can human capital variables be technology changing? An empirical test for rural households in Burkina Faso (2016) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:jproda:v:45:y:2016:i:2:p:157-172

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2

DOI: 10.1007/s11123-015-0457-8

Access Statistics for this article

Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski

More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:jproda:v:45:y:2016:i:2:p:157-172