Quantifying rural livelihood strategies in developing countries using an activity choice approach

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Quantifying rural livelihood strategies in developing countries using an activity choice approach. / Nielsen, Øystein Juul; Rayamajhi, Santosh; Uberhuaga de Arratia, Patricia D C; Meilby, Henrik; Smith-Hall, Carsten.

In: Agricultural Economics, Vol. 44, No. 1, 2013, p. 57-71.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Nielsen, ØJ, Rayamajhi, S, Uberhuaga de Arratia, PDC, Meilby, H & Smith-Hall, C 2013, 'Quantifying rural livelihood strategies in developing countries using an activity choice approach', Agricultural Economics, vol. 44, no. 1, pp. 57-71. https://doi.org/10.1111/j.1574-0862.2012.00632.x

APA

Nielsen, Ø. J., Rayamajhi, S., Uberhuaga de Arratia, P. D. C., Meilby, H., & Smith-Hall, C. (2013). Quantifying rural livelihood strategies in developing countries using an activity choice approach. Agricultural Economics, 44(1), 57-71. https://doi.org/10.1111/j.1574-0862.2012.00632.x

Vancouver

Nielsen ØJ, Rayamajhi S, Uberhuaga de Arratia PDC, Meilby H, Smith-Hall C. Quantifying rural livelihood strategies in developing countries using an activity choice approach. Agricultural Economics. 2013;44(1):57-71. https://doi.org/10.1111/j.1574-0862.2012.00632.x

Author

Nielsen, Øystein Juul ; Rayamajhi, Santosh ; Uberhuaga de Arratia, Patricia D C ; Meilby, Henrik ; Smith-Hall, Carsten. / Quantifying rural livelihood strategies in developing countries using an activity choice approach. In: Agricultural Economics. 2013 ; Vol. 44, No. 1. pp. 57-71.

Bibtex

@article{e3824332da48470a896b956bdcc31978,
title = "Quantifying rural livelihood strategies in developing countries using an activity choice approach",
abstract = "This article uses a quantitative activity choice approach, based on identification of activity variables and application of latent class cluster analysis, to identify five major rural livelihood strategies pursued by households (n= 576) in Bolivia, Nepal, and Mozambique. Income sources and welfare outcomes are compared across strategies and household differences in asset holdings are analyzed using multinomial logit regression. Findings reveal that income diversification is the norm, that a higher degree of specialization does not characterize more remunerative livelihood strategies, that nonfarm income significantly contributes to higher income earnings, that environmental reliance does not vary across strategies, and that small-scale farmers are the largest and poorest livelihood group. Some livelihood strategies are superior to all other strategies in terms of income earned; access to more remunerative livelihood strategies is determined by land ownership, education, and ethnic affiliation. Finally, the article also highlights that additional work is required to determine the most suitable methods for livelihood strategy identification. ",
author = "Nielsen, {{\O}ystein Juul} and Santosh Rayamajhi and {Uberhuaga de Arratia}, {Patricia D C} and Henrik Meilby and Carsten Smith-Hall",
year = "2013",
doi = "10.1111/j.1574-0862.2012.00632.x",
language = "English",
volume = "44",
pages = "57--71",
journal = "Agricultural Economics",
issn = "0169-5150",
publisher = "Wiley-Blackwell",
number = "1",

}

RIS

TY - JOUR

T1 - Quantifying rural livelihood strategies in developing countries using an activity choice approach

AU - Nielsen, Øystein Juul

AU - Rayamajhi, Santosh

AU - Uberhuaga de Arratia, Patricia D C

AU - Meilby, Henrik

AU - Smith-Hall, Carsten

PY - 2013

Y1 - 2013

N2 - This article uses a quantitative activity choice approach, based on identification of activity variables and application of latent class cluster analysis, to identify five major rural livelihood strategies pursued by households (n= 576) in Bolivia, Nepal, and Mozambique. Income sources and welfare outcomes are compared across strategies and household differences in asset holdings are analyzed using multinomial logit regression. Findings reveal that income diversification is the norm, that a higher degree of specialization does not characterize more remunerative livelihood strategies, that nonfarm income significantly contributes to higher income earnings, that environmental reliance does not vary across strategies, and that small-scale farmers are the largest and poorest livelihood group. Some livelihood strategies are superior to all other strategies in terms of income earned; access to more remunerative livelihood strategies is determined by land ownership, education, and ethnic affiliation. Finally, the article also highlights that additional work is required to determine the most suitable methods for livelihood strategy identification.

AB - This article uses a quantitative activity choice approach, based on identification of activity variables and application of latent class cluster analysis, to identify five major rural livelihood strategies pursued by households (n= 576) in Bolivia, Nepal, and Mozambique. Income sources and welfare outcomes are compared across strategies and household differences in asset holdings are analyzed using multinomial logit regression. Findings reveal that income diversification is the norm, that a higher degree of specialization does not characterize more remunerative livelihood strategies, that nonfarm income significantly contributes to higher income earnings, that environmental reliance does not vary across strategies, and that small-scale farmers are the largest and poorest livelihood group. Some livelihood strategies are superior to all other strategies in terms of income earned; access to more remunerative livelihood strategies is determined by land ownership, education, and ethnic affiliation. Finally, the article also highlights that additional work is required to determine the most suitable methods for livelihood strategy identification.

U2 - 10.1111/j.1574-0862.2012.00632.x

DO - 10.1111/j.1574-0862.2012.00632.x

M3 - Journal article

VL - 44

SP - 57

EP - 71

JO - Agricultural Economics

JF - Agricultural Economics

SN - 0169-5150

IS - 1

ER -

ID: 44476186