Combining household income and asset data to identify livelihood strategies and their dynamics

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Combining household income and asset data to identify livelihood strategies and their dynamics. / Walelign, Solomon Zena; Pouliot, Mariéve; Larsen, Helle Overgaard; Smith-Hall, Carsten.

In: The Journal of Development Studies, Vol. 53, No. 6, 2017, p. 769-787.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Walelign, SZ, Pouliot, M, Larsen, HO & Smith-Hall, C 2017, 'Combining household income and asset data to identify livelihood strategies and their dynamics', The Journal of Development Studies, vol. 53, no. 6, pp. 769-787. https://doi.org/10.1080/00220388.2016.1199856

APA

Walelign, S. Z., Pouliot, M., Larsen, H. O., & Smith-Hall, C. (2017). Combining household income and asset data to identify livelihood strategies and their dynamics. The Journal of Development Studies, 53(6), 769-787. https://doi.org/10.1080/00220388.2016.1199856

Vancouver

Walelign SZ, Pouliot M, Larsen HO, Smith-Hall C. Combining household income and asset data to identify livelihood strategies and their dynamics. The Journal of Development Studies. 2017;53(6):769-787. https://doi.org/10.1080/00220388.2016.1199856

Author

Walelign, Solomon Zena ; Pouliot, Mariéve ; Larsen, Helle Overgaard ; Smith-Hall, Carsten. / Combining household income and asset data to identify livelihood strategies and their dynamics. In: The Journal of Development Studies. 2017 ; Vol. 53, No. 6. pp. 769-787.

Bibtex

@article{253393c4daaa455ca7a59193a029679b,
title = "Combining household income and asset data to identify livelihood strategies and their dynamics",
abstract = "Current approaches to identifying and describing rural livelihood strategies, and household movements between strategies over time, in developing countries are imprecise. Here we: (i) present a new statistical quantitative approach combining income and asset data to identify household activity choice variables, characterise livelihood strategy clusters, and analyse movements between strategies, and (ii) apply the approach using an environmentally-augmented three-wave household (n = 427) level panel dataset from Nepal. Combining income and asset data provides a better understanding of livelihood strategies and household movements between strategies over time than using only income or asset data. Most households changed livelihood strategy at least once over the two three-year periods. A common pathway out of poverty included an intermediate step during which households accumulate assets through farming, petty trading, and migratory work.",
author = "Walelign, {Solomon Zena} and Mari{\'e}ve Pouliot and Larsen, {Helle Overgaard} and Carsten Smith-Hall",
year = "2017",
doi = "10.1080/00220388.2016.1199856",
language = "English",
volume = "53",
pages = "769--787",
journal = "Journal of Development Studies",
issn = "0022-0388",
publisher = "Taylor & Francis Online",
number = "6",

}

RIS

TY - JOUR

T1 - Combining household income and asset data to identify livelihood strategies and their dynamics

AU - Walelign, Solomon Zena

AU - Pouliot, Mariéve

AU - Larsen, Helle Overgaard

AU - Smith-Hall, Carsten

PY - 2017

Y1 - 2017

N2 - Current approaches to identifying and describing rural livelihood strategies, and household movements between strategies over time, in developing countries are imprecise. Here we: (i) present a new statistical quantitative approach combining income and asset data to identify household activity choice variables, characterise livelihood strategy clusters, and analyse movements between strategies, and (ii) apply the approach using an environmentally-augmented three-wave household (n = 427) level panel dataset from Nepal. Combining income and asset data provides a better understanding of livelihood strategies and household movements between strategies over time than using only income or asset data. Most households changed livelihood strategy at least once over the two three-year periods. A common pathway out of poverty included an intermediate step during which households accumulate assets through farming, petty trading, and migratory work.

AB - Current approaches to identifying and describing rural livelihood strategies, and household movements between strategies over time, in developing countries are imprecise. Here we: (i) present a new statistical quantitative approach combining income and asset data to identify household activity choice variables, characterise livelihood strategy clusters, and analyse movements between strategies, and (ii) apply the approach using an environmentally-augmented three-wave household (n = 427) level panel dataset from Nepal. Combining income and asset data provides a better understanding of livelihood strategies and household movements between strategies over time than using only income or asset data. Most households changed livelihood strategy at least once over the two three-year periods. A common pathway out of poverty included an intermediate step during which households accumulate assets through farming, petty trading, and migratory work.

U2 - 10.1080/00220388.2016.1199856

DO - 10.1080/00220388.2016.1199856

M3 - Journal article

VL - 53

SP - 769

EP - 787

JO - Journal of Development Studies

JF - Journal of Development Studies

SN - 0022-0388

IS - 6

ER -

ID: 163898767