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Evans Taabu Okumu
University of Nairobi
Corresponding Author
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Reverse migration is on a steady increase under the devolved system of governance in Kenya. The situation could be attributed to an array of triggers such as; the ongoing rural development programmes, backdrop of non-availability of livelihood and job opportunities in the city. Upon return to the rural areas, it could be perceived that the returnees encounter some socio-economic shocks, which tend to impact their income and career. To ascertain the impact, we use a binomial probit model to estimate the probability of income and occupational change. We postulate that harsh encounters in the city inspire those with savings, newly acquired entrepreneurial acumen, and land to migrate out of the city and exploit rural job opportunities. Study participants were people that had moved from Nairobi to their rural counties. Using snowball sample selection, we obtained 49 adult participants mean age = 41years, SD = 15.95, female 48%, employed 68%, married 59%, and 29% educated up to university Results found that significance for career and income changes varies across participants socio-economics status or demographics. For instance, those aged 35–59 years (r2 = 0.399, ME = 0.421); land size greater than 2.5 acres (r2 = 0.507, ME = 0.473) and postgraduate degree (r2 = 0.513, ME = 0.591) had significant income increment. For 60 + years (r2=-0.369, ME=-0.312), primary-leavers (r2=-0.459, ME=-0.226) had significant decrease in income upon return. Conversely, females (r2 = 0.326, ME = 0.348), and migrants aged 60 + years (r2 = R2 = 0.797, ME = 0.651) were more prone to career change; all at .01 significance level. Attributes such as marital status, age 25-34yrs, secondary or college-level education are weak income or career change determinants. We conclude that rural land size, more than 2.5acres was a significant incentive for reverse migration, since the likelihood of shifting to agriculture and establishing a robust livelihood source and income after assigning other dummy variables, and setting the baseline at two years was evident across groups.
Keywords
Employment, Income change, Occupational change, Urban-rural migration, Migrants, Returnees, Rural area, Probit model
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research
Evans Taabu Okumu
University of Nairobi
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
The most recent version of this article is available here.
No community comments so far
Version 1
Posted 15 Dec, 2020
No comments provided
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Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
The most recent version of this article is available here.
Reverse migration is on a steady increase under the devolved system of governance in Kenya. The situation could be attributed to an array of triggers such as; the ongoing rural development programmes, backdrop of non-availability of livelihood and job opportunities in the city. Upon return to the rural areas, it could be perceived that the returnees encounter some socio-economic shocks, which tend to impact their income and career. To ascertain the impact, we use a binomial probit model to estimate the probability of income and occupational change. We postulate that harsh encounters in the city inspire those with savings, newly acquired entrepreneurial acumen, and land to migrate out of the city and exploit rural job opportunities. Study participants were people that had moved from Nairobi to their rural counties. Using snowball sample selection, we obtained 49 adult participants mean age = 41years, SD = 15.95, female 48%, employed 68%, married 59%, and 29% educated up to university Results found that significance for career and income changes varies across participants socio-economics status or demographics. For instance, those aged 35–59 years (r2 = 0.399, ME = 0.421); land size greater than 2.5 acres (r2 = 0.507, ME = 0.473) and postgraduate degree (r2 = 0.513, ME = 0.591) had significant income increment. For 60 + years (r2=-0.369, ME=-0.312), primary-leavers (r2=-0.459, ME=-0.226) had significant decrease in income upon return. Conversely, females (r2 = 0.326, ME = 0.348), and migrants aged 60 + years (r2 = R2 = 0.797, ME = 0.651) were more prone to career change; all at .01 significance level. Attributes such as marital status, age 25-34yrs, secondary or college-level education are weak income or career change determinants. We conclude that rural land size, more than 2.5acres was a significant incentive for reverse migration, since the likelihood of shifting to agriculture and establishing a robust livelihood source and income after assigning other dummy variables, and setting the baseline at two years was evident across groups.
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