Farm Exit Among Smallholder Farmers of Nepal: A Bayesian Logistic Regression Models Approach
Autor: | Taysseer Sharaf, Keshav Pokhrel, Dirgha J. Ghimire, Prem Bhandari |
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Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
education.field_of_study business.industry Population Separation (statistics) 04 agricultural and veterinary sciences Plant Science Logistic regression 01 natural sciences Article Agrarian society Agricultural science Geography Agriculture 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Land tenure business education Agronomy and Crop Science Hectare 010606 plant biology & botany Food Science Panel data |
Zdroj: | Agric Res |
ISSN: | 2249-7218 2249-720X |
DOI: | 10.1007/s40003-020-00465-4 |
Popis: | To leave or not to leave farming? This is a dilemma facing a large number of farm households in a rural agrarian setting of Nepal where nearly two-thirds of the population is small holder farmers. Using the uniquely detailed retrospective panel data collected in 2015 from farming households, we examine the influence of the access to cultivated land holding and land tenure on subsequent farm exit. We address the statistical modeling issue of complete separation by developing a robust Bayesian predictive model to predict the probability of farm exit. We use the Bayesian framework with weakly informative prior to carry out the logistic regression model and compare it with other available binary response models. Our results show that the size of cultivated land has a strong negative influence on farm exit, net of all other controls. Moreover, farmers who rented farmland from others or who rented farmland to others were significantly more likely to exit farming. We estimate that a farm household required at least 5 Katha of land (one sixth of a hectare) per year to stay in farming. |
Databáze: | OpenAIRE |
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