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Barriers to rural households’ participation in low-skilled off-farm labor markets: theory and empirical results from northern Ethiopia

Overview of attention for article published in SpringerPlus, March 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

policy
1 policy source
facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Barriers to rural households’ participation in low-skilled off-farm labor markets: theory and empirical results from northern Ethiopia
Published in
SpringerPlus, March 2013
DOI 10.1186/2193-1801-2-97
Pubmed ID
Authors

Bharat P Bhatta, Torbjørn Årethun

Abstract

Promotion of low-skilled off-farm rural labor market participation can be an important strategy to improve livelihoods and food security of the poor in developing countries. This paper investigates rural farm households' participation in low-skilled off-farm labor markets with disaggregate data from a survey of 400 households in Tigray, the northern highlands of Ethiopia. Adopting Heckman's two stage approach, we examined households' decisions to participate or not in markets by probit model in the first stage and level of participation by ordinary least squares procedures in the second stage. The results show that households' decision to enter into a labor market significantly depends on the characteristics of the households such as sex, age of the household heads and labor endowments in the households. Similarly, the level of participation in labor markets measured by the amount of off-farm wage income depends on labor endowments in the households and the place where the households are located. Since cash constrained rural households do not find themselves advantageous to participate in off-farm labor markets, the reduction of cash constraint is the major policy implication of the paper. This holds true in general for all cash constrained rural households in developing countries. Similarly, the empirical results in the paper suggest removal of locational barriers to access labor markets. This helps them to earn off-farm income. It is necessary to eliminate (or at least reduce) obstacles for rural households to enter into a market of off-farm wage earning activities. This holds true in general for all rural households in developing countries. This paper is therefore expected to contribute to frame appropriate policy that promotes participation in low-skilled off-farm rural labor markets in developing countries where many rural households are not only poor but also low-skilled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uganda 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Student > Master 6 20%
Student > Doctoral Student 4 13%
Student > Bachelor 4 13%
Lecturer 4 13%
Other 1 3%
Unknown 3 10%
Readers by discipline Count As %
Economics, Econometrics and Finance 13 43%
Agricultural and Biological Sciences 6 20%
Social Sciences 3 10%
Engineering 2 7%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 4 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 January 2018.
All research outputs
#4,707,828
of 15,520,561 outputs
Outputs from SpringerPlus
#392
of 1,793 outputs
Outputs of similar age
#45,573
of 152,356 outputs
Outputs of similar age from SpringerPlus
#1
of 3 outputs
Altmetric has tracked 15,520,561 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 152,356 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them