Caught in a Productivity Trap: A Distributional Perspective on Gender Differences in Malawian Agriculture

Kilic, Talip; Palacios-López, Amparo; Goldstein, Markus

doi:10.1016/j.worlddev.2014.06.017

Cited by 169 publications

(209 citation statements)

References 20 publications

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“…The single most important factor explaining gender differences in agricultural productivity is land. Women work on smaller plots (Table 1) and because 12 We stick to the terminology used in Kilic et al (2014), Aguilar et al (2013) and Oseni et al (2014), although male structural advantage is misleading since the comparison group encompasses all plots that are not managed by a sole woman (not only sole male managed plots but also plots managed by more than one family member regardless of their gender). of the inverse relationship between agricultural productivity and land area, they appear as productive as all other managers.…”

Section: Decomposition Resultsmentioning

confidence: 99%

“…Using a similar data set, Kilic et al (2014) examine gender differences in agricultural productivity in Malawi and find a gap in the magnitude of 25% with 82% of it due to differences in levels of inputs. Oseni et al (2014) conduct a similar analysis for Nigeria and find a gender gap in productivity only in the northern part of the country.…”

Section: Data Appendix Available Onlinementioning

confidence: 99%

“…The method has been traditionally used in labor economics to decompose wage inequality by gender, race, union membership, and over time (Fortin et al, 2011). Recently, the approach has been adopted for the analysis of gender inequality in agricultural productivity as well ( Aguilar et al, 2013;Kilic et al, 2014;Oseni et al, 2014). The factors that are quantitatively important merit further exploration.…”

Section: Understanding the Mechanism Through Decompositionsmentioning

confidence: 99%

“…Detailed derivations of the OB decomposition and its development in the literature are abundant (Fortin et al, 2011; Jann, 2008; see Kilic et al, 2014 for OB decomposition derivation for the gender gap in agricultural productivity). Therefore, the relevant decomposition equations are restricted to the Appendix.…”

Section: Understanding the Mechanism Through Decompositionsmentioning

confidence: 99%

“…We use the RIF regressions developed by Fipro et al (2009) to expand the OB decomposition by identifying differences by gender at various percentiles of the productivity distribution. A description of the RIF decomposition is available in a number of papers (Firpo et al, 2009;Kilic et al, 2014) as well as in the Appendix to this study.…”

Section: Understanding the Mechanism Through Decompositionsmentioning

confidence: 99%

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Gender differences in agricultural productivity: the case of Tanzania

Slavchevska

2015

Agricultural Economics

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The article examines gender differences in agricultural productivity using panel data for Tanzania. At the national level, there is weak evidence of mean differences in productivity between male and female plots, but conditional on manager characteristics, plot characteristics, inputs, and crop choice, plots managed solely by a woman are consistently found less productive than all other plots. An Oaxaca-Blinder-type decomposition reveals that important factors explaining the gender differential are plot area and family labor. Women are able to obtain higher yields on smaller plots farmed with less male labor and more female labor and thus cover the gender gap in productivity at the aggregate level, but there are still significant unobservable factors which contribute to widening the gap. JEL classifications: C23, J16, Q12

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Section: Decomposition Resultsmentioning

confidence: 99%

Section: Data Appendix Available Onlinementioning

confidence: 99%

Section: Understanding the Mechanism Through Decompositionsmentioning

confidence: 99%

Section: Understanding the Mechanism Through Decompositionsmentioning

confidence: 99%

Section: Understanding the Mechanism Through Decompositionsmentioning

confidence: 99%

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Gender differences in agricultural productivity: the case of Tanzania

Slavchevska

2015

Agricultural Economics

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The heat never bothered me anyway: Gender‐specific response of agricultural labor to climatic shocks in Tanzania

Lee

Haile

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et al. 2021

Applied Eco Perspectives Pol

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Agricultural production in Africa is generally highly labor intensive with gender-specific specialization across activities. Using panel data from Tanzania, we examine the effects of heat stress (temperature above 29 C) during the maize-growing season on gender-disaggregated agricultural labor use. Results show that heat stress reduces total male family labor but does not statistically affect female family labor. Households with only female adults seem to increase their labor supply under heat stress.Given these heterogeneous effects, gender-sensitive development interventions and adaptation strategies are suggested to enhance women's adaptive capacity.

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Decent and equal work in agri‐food systems: Evidence from Peru

Fabry,

Schuster,

Maertens

2023

Applied Eco Perspectives Pol

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Agri‐food systems are important sources of rural off‐farm employment, but insights on job quality are limited. We study job quality in the Peruvian horticultural sector and explore the driving forces of decent and equal work, using survey data and econometric methods. We find structural disparities in wages and job quality between men and women and between local and migrant workers, trade‐offs between wage and nonwage dimensions of decent work, and sector and company differences. Our findings contest that global value chains are a catalyst for decent and equal work and underscore the importance of formalization and government regulation of employment.

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Caught in a Productivity Trap: A Distributional Perspective on Gender Differences in Malawian Agriculture

Cited by 169 publications

References 20 publications

Gender differences in agricultural productivity: the case of Tanzania

Gender differences in agricultural productivity: the case of Tanzania

The heat never bothered me anyway: Gender‐specific response of agricultural labor to climatic shocks in Tanzania

Decent and equal work in agri‐food systems: Evidence from Peru

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