Find evidence, practical ideas and fresh insight for greater impact

Rural Shadow Wages and Youth Agricultural Labor Supply in Ethiopia: Evidence from Farm Panel Data

Based on:

Journal Article (2020)

Open access

 The success and sustainability of the agriculture sector in Ethiopia require a proper understanding of how households allocate youth labor’s time and whether agricultural labor supply is responsive to economic incentives such as shadow wages. This research explores these questions.

Brief by:
Research collaborators:
Nicolas Gerber
PrintShare
Cite page
Sakketa, Tekalign. 'Rural Shadow Wages and Youth Agricultural Labor Supply in Ethiopia: Evidence from Farm Panel Data'. Acume. https://www.acume.org/r/rural-shadow-wages-and-youth-agricultural-labor-supply-in-ethiopia-evidence-from-farm-panel-data/
Decent Work and Economic Growth

This study investigates trends and patterns of youth’s labour supply in agriculture using a calculated shadow wage as an alternative to market wages.

 

Key findings

  • Youths provide valuable contributions to family level agriculture.
  • The perception that young people are not interested in agriculture is not based on evidence, but their participation requires farming to be profitable and training/market opportunities to be accessible.
  • Investment in youth participation in agriculture could be a good strategy for economic growth and tackling unemployment in areas where agricultural income is high.
What it means

Shadow wage is a more accurate estimate of labor return and agricultural production in settings where markets are imperfect- such as rural areas. Shadow wage can be weakly equated to the productivity of a household or individual.

Rural wage, labour productivity and economic incentives were used to determine the agricultural supply of individuals. This varied by gender, but overall there is no evidence which suggests that youth on-farm participation is decreasing.

Proposed action

  • Invest in rural areas to provide necessities and make them more liveable
  • Take gender into consideration in making agriculture attractive to young people
  • Strengthen human capital in rural/agricultural areas: Formal education and cultural training activities, health, infrastructure
  • Diversify economic activities that compliment agriculture

Comments

You must log in to ask a question
 

Acknowledgements

Thank you to iDE Global

These insights were made available thanks to the support of iDE Global, who are committed to the dissemination of knowledge for all.

iDE Global Logo
Special thanks to Ben Levett for preparation assistance

We would like to extend a special thank you to Ben Levett, for their invaluable contribution in assisting the preparation of this research summary.

Are you a researcher looking to make a real-world impact? Join Acume and transform your research into a practical summary.

Already have an account? Log in
Share

Rural Shadow Wages and Youth Agricultural Labor Supply in Ethiopia: Evidence from Farm Panel Data

Cite this brief: Sakketa, Tekalign. 'Rural Shadow Wages and Youth Agricultural Labor Supply in Ethiopia: Evidence from Farm Panel Data'. Acume. https://www.acume.org/r/rural-shadow-wages-and-youth-agricultural-labor-supply-in-ethiopia-evidence-from-farm-panel-data/

Brief created by: Dr Tekalign Sakketa | Year brief made: 2022

Original research:

  • N. G., & Sakketa, T., ‘Rural Shadow Wages and Youth Agricultural Labor Supply in Ethiopia: Evidence from Farm Panel Data’ 48 (pp. 61–105) https://doi.org/10.1108/S0147-912120200000048003. – https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2956283

Research brief:

The success and sustainability of the agriculture sector in Ethiopia require a proper understanding of how households allocate youth labor’s time and whether agricultural labor supply is responsive to economic incentives such as shadow wages. This research explores these questions.

This study investigates trends and patterns of youth’s labour supply in agriculture using a calculated shadow wage as an alternative to market wages.

Findings:

Youths provide valuable contributions to family level agriculture.

The perception that young people are not interested in agriculture is not based on evidence, but their participation requires farming to be profitable and training/market opportunities to be accessible.

Investment in youth participation in agriculture could be a good strategy for economic growth and tackling unemployment in areas where agricultural income is high.

Advice:

Invest in rural areas to provide necessities and make them more liveable

    • Invest in agricultural value chain and assist youths in becoming agricultural entrepreneurs

Take gender into consideration in making agriculture attractive to young people

Strengthen human capital in rural/agricultural areas: Formal education and cultural training activities, health, infrastructure

Diversify economic activities that compliment agriculture

    • Such as trade, supply, marketing and improve markets for fertiliser and farm land to make them more accessible for young people

Extra:

Shadow wage is a more accurate estimate of labor return and agricultural production in settings where markets are imperfect- such as rural areas. Shadow wage can be weakly equated to the productivity of a household or individual.

Rural wage, labour productivity and economic incentives were used to determine the agricultural supply of individuals. This varied by gender, but overall there is no evidence which suggests that youth on-farm participation is decreasing.

14099
|
2020

"Rural Shadow Wages and Youth Agricultural Labor Supply in Ethiopia: Evidence from Farm Panel Data"

Cite paper

N. G., & Sakketa, T., ‘Rural Shadow Wages and Youth Agricultural Labor Supply in Ethiopia: Evidence from Farm Panel Data’ 48 (pp. 61–105) https://doi.org/10.1108/S0147-912120200000048003.

Published in Research in Labor Economics, pp. 61-105.
DOI: 10.1108/S0147-912120200000048003
🔗 Find full paper (Open access)
Methodology
This is a quantitative study.

The study is based on household and youth panel survey conducted in Oromia region of households selected for the Ethiopian government's Agricultural Growth Program (AGP). An econometric approach was applied to the data.

However, the estimation of shadow wage makes assumptions, for example that increasing labor supply equally increases productivity/output. In reality this may be non-linear. Furthermore, working hours were self-estimated by participants, so are liable measurement errors



Funding

This research was funded by an external organisation, but detail has not been provided.

Your research brief is live

It’s now visible on your profile and searchable by practitioners. Thank you for making your work accessible to decision-makers who need it

Close

Your research brief was updated

Changes are live now. 

Close

Your account is pending verification

We’ve been notified and will review it shortly. Once verified, it will be published and visible to practitioners.

We have this email on file: . If this isn’t your work email, update it to speed things up.

Update email

Your draft has been saved

Your draft has been saved. You can return to edit and publish it anytime from your dashboard.

Close

Thank you for subscribing!

We’d love to know who we will be talking to, could you take a moment to share a few more details?

Thanks for signing up!
If you haven’t already, create a free account to access expert insights and be part of a global effort to improve real-world decisions.

Get started

Close

For researchers

Turn your paper into a practical brief practitioners will read.

Sign up freeLearn more

For professionals

Explore free briefs, and book a call for deeper insights when you need them.

Talk with the teamLearn more