scholarly journals Rural Nonfarm Employment, Income, and Inequality: Evidence from Bhutan

2015 ◽  
Vol 32 (2) ◽  
pp. 65-94 ◽  
Author(s):  
Dil Bahadur Rahut ◽  
Pradyot Ranjan Jena ◽  
Akhter Ali ◽  
Bhagirath Behera ◽  
Nar Bahadur Chhetri

Using the 2012 Bhutan Living Standard Survey, this paper finds that rural nonfarm activities comprise 60.7% of rural household income in Bhutan and this contribution increases with higher income and education levels. The poor and less educated participate less in the nonfarm sector. When they do, they are self-employed in petty nonfarm activities, which require little investment and little or no skills. Accounting for endogeneity and sample selection issues, we estimate the determinants of participation in nonfarm activities and nonfarm incomes. We find that a household's education and labor supply play an important role in accessing more remunerative nonfarm employment. Interestingly, we find that women play an important role in self-employment in nonfarm activities. Decomposition shows that nonfarm income has a disequalizing effect and farm income has an equalizing effect, indicating the need to increase the endowment of poor households to enable them to access the lucrative rural nonfarm sector. Further decomposition reveals that self-employment in petty nonfarm activities reduces inequality.

2021 ◽  
Vol 13 (3) ◽  
pp. 1059
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Bismark Addai ◽  
Zhao Ding ◽  
Abbas Ali Chandio ◽  
...  

The emergence of agricultural cooperatives is extensively viewed as a necessary institutional arrangement that can help farmers in developing countries overcome the constraints that impede them from improving sustainable agricultural production and acquiring new marketing opportunities. Therefore, this study examines the determinants of cooperative membership and its impact on fish farm household income, using data collected from two regions in Ghana. An endogenous switching regression (ESR) model is utilized to address the potential sample selection bias issue. The results show that household heads’ decisions to join cooperatives are affected by their access to credit, off-farm work, education level, and peer influence. Cooperative membership can increase both household and farm income by 28.54% and 34.75%, respectively. Moreover, we show that different groups of households’ cooperative impacts on farm and household income are heterogeneous. Our findings highlight the importance of cooperative patronization and provide implications that can improve households’ welfare.


2021 ◽  
Vol VI (III) ◽  
pp. 12-31
Author(s):  
Tamanna Bibi ◽  
Amjad Amin ◽  
Jabbar ul Haq

This study analyses the woman's status labour market of Khyber Pakhtunkhwa. Four working states: self-employed, paid employees, and unpaid family helpers were investigated. Data were collected about individuals and household characteristics of women aged between (15-60) years from the Pakistan Social and Living Standard Measurement Survey (PSLM, 2014-15). The estimated results based on Multinomial Logit (MNL) suggest a positive and significant impact of women's age on all working categories in the labour market. The woman who owns a house, or the married woman, with multiple children or having a combined family system, or the residents of the countryside have less likelihood to take part in paid works. Participation in paid works decreases with the increase in the number of children, whereas participation in self-employment increases with the increase in the number of children. The probability of female participation in all four working states increases with the increase in the number of working individuals in the family. Whereas, probability of women's participation in the labor market decrease with the Joint family system, house owning, marriage, or higher household income.


2020 ◽  
Vol 8 (1) ◽  
pp. 11 ◽  
Author(s):  
Hung Van Vu

Using data from the 2018 Vietnam Household Living Standard Survey, our study investigates the impact of education on household income in rural Vietnam. Both mean and quantile regression analyses were employed to analyze the impact of education. We found that education has a positive effect on the household income after controlling for various factors in the models. However, quantile regression analysis reveals that the effect of schooling years increases with quantiles, suggesting that education bring higher returns for richer households. We also found that households with the heads having higher qualifications or vocational education tend to earn higher income levels. Combined together, these findings imply that while education was found to increase household income, it increases income inequality in rural Vietnam. Our research findings suggest that improving the access of poor households to better education is expected to increase their income and reduce inequality in rural Vietnam.


2019 ◽  
Vol 46 (9) ◽  
pp. 1081-1094 ◽  
Author(s):  
Ifeoluwa Damilola Adeoye ◽  
Wayo Seini ◽  
Daniel Sarpong ◽  
Ditchfield Amegashie

Purpose The purpose of this paper is to analyze the effect of the different components of off-farm income on multi-dimensional poverty. Furthermore, the study aims to measure multi-dimensional poverty and also identify the determinants of multi-dimensional poverty in Nigeria. The paper reveals the different contributions of the dimensions of education, health and living standard. Design/methodology/approach The study focuses on rural farm households in Nigeria. Data are obtained from the Nigeria General Household Survey, 2013. The survey covers both urban and rural areas of the 36 states of Nigeria. Owing to the interest of this study in the rural farm household’s sub-sector, a nationally representative sample of 836 rural farm households are selected for the study after the data merging process. Rural farm households in this paper earn 50 percent of their total income from crop and livestock production. The paper employs the Multi-dimensional Poverty Index (MPI) to measure multi-dimensional poverty across the six different geographical zones of Nigeria. The probit regression model is used to estimate and analyze the effect of off-farm income components on multi-dimensional poverty and also to identify the determinants of multi-dimensional poverty. Findings The results of the study show that among the off-farm income components, the non-farm wage income and non-farm self-employment income have negative association with multi-dimensional poverty. Findings show that multi-dimensional poverty is high in Nigeria with deprivations in health contributing the most. Northern Regions have a higher estimate. Results reveal that sex, age, number of adults, formal credit access, access to extension services and location characteristics are key determinants of multi-dimensional poverty. The MPI for Nigeria averaged 47 percent. Across regions, deprivation in the health dimension contributes about 44 percent to multi-dimensional poverty. Deprivation in living standards contributes 40.5 percent, while deprivation in education contributes 15.5 percent to multi-dimensional poverty. Research limitations/implications Due to the nature of the data used, the health indicators (nutrition and child mortality) are absent but proxies are used instead. Future research could introduce gender dimensions. Practical implications Improving the involvement of rural farm households in non-farm self-employment sector could improve their livelihoods and prevent migration to urban centers, especially among the youths. Social implications Improving the quality of health, education and living standards will lead to lower poverty levels in Nigeria. Farmers can best reduce their multi-dimensional poverty by engaging in more off-farm jobs. Originality/value This paper provides information to policy makers on the effect of different components of income from the off-farm sector on multi-dimensional poverty alongside with the determinants of multi-dimensional poverty at a national level for the rural farm households. By using MPI, the contribution of the different dimensions used in computing the MPI across the six geographical regions within the country is revealed. This provides policy makers with more information for development purposes.


2020 ◽  
Vol 42 (4) ◽  
pp. 442-457
Author(s):  
Prespa Ymeri ◽  
Arben Musliu ◽  
Jehona Shkodra ◽  
Iliriana Miftari ◽  
Csaba Fogarassy

AbstractKosovo is one of the poorest countries in Europe, despite the various poverty alleviation programs implemented by the authorities and the international funding community. This study aims to analyze income distribution inequality and factors behind rural households' poverty in Kosovo. Data on farm income, nonfarm income, unearned income, and socio-economic characteristics were collected using a semi-structured questionnaire from 203 randomly selected households in Kosovo. Linear regression, one-way ANOVA, and different versions of poverty indexes were used to examine the data. One-quarter of households' income comes from nonfarm activities. The middle-income households had the highest potential to find alternative employment in the nonfarm sector. Years of education, household size, number of family members above the age of 18, and total income had a positive impact on nonfarm revenues. The poorest rural households had the highest share of income from farm activities (77.52%). Nonfarm revenues have a positive impact on poverty alleviation; thus, the study suggests adopting suitable rural policies to enhance nonfarm employment for vulnerable rural households. The agro-tourism sector and circular economy approaches in agriculture with the focus on renewable energy can be considered as potential sources of nonfarm income, which could lead to sustainable poverty reduction.


Author(s):  
Oluseyi Olutoyin Olugbire ◽  
Oluwatosin Esther Obafunsho ◽  
Titilope Omolara Olarewaju ◽  
Ruth Ibukun Kolade ◽  
Festus Abiodun Odediran ◽  
...  

Farming has been considered as main source of income for rural households in Nigeria, despite their involvement in other income generating activities. Focusing on income derivable from farming alone may be partially responsible for the ineffective poverty reduction strategies in Nigeria. Using the National Living Standard Survey data collected by the National Bureau of Statistics, this paper investigated the composition and determinants of non-farm incomes of rural households in Nigeria. The results show that the share of farm, non-farm wage (NFW)- and self-employment (NFS) incomes in total household incomes were 24.3%, 43.0% and 23.7% respectively. Households whose heads are male (0.647), had formal education (0.522), increased the likelihood of households’ participation in NFW activities, while access to credit (-0.307) and having larger farm size (-0.221) decreased it. Access to credit (0.379); community participation (0.103); larger family size (0.193) and possession of capital assets (0.069) increased the likelihood of participation in NFS-employment activities, while having larger farm size (-0.211) decreased it. The study concludes that policy targeting poverty reduction should focus on providing enabling environment for poor households’ access to non-farm activities in the study area.


2020 ◽  
Vol 8 (1) ◽  
pp. 108
Author(s):  
Cindy Puri Andini ◽  
Wuryaningsih Dwi Sayekti ◽  
Fembriarti Erry Prasmatiwi

This research aims to analyze household income, welfare, and factors that influence the household welfare of vaname cultivators ex-plasma PT Centralpertiwi Bahari. Data of this research was collected in Bratasena Adiwarna village in February 2018. Samples in this research were 70 shrimp cultivators households. Determination of samples with simple random sampling. Primary data was obtained by interviewing respondens, while secondary data was obtained from several related institution. Household income consists of shrimp income, nonshrimp, off-farm and nonfarm income. Household welfare level was analyzed by the Sajogyo criteria and poverty line according to BPS Lampung (2017). The factors that influence household welfare was analyzed by binary logistic regression. The research result showed that the average shrimp income in period I, II, and III were Rp7,986,264; Rp13,868,109; and Rp27,334,963; average household income was Rp64,902,569.00 per year, which was obtained from 70 percent of shrimp income, 10 percent of nonshrimp income, 2 percent of off-farm income, and 18 percent of nonfarm income. The household welfare level based on the Sajogyo indicator showed that 37 percent of household were in moderate and 63 percent were in decent living class, while the BPS poverty line shows that all of households were classified as nonpoor. The level of household welfare of ex-plasma PT Centralpertiwi Bahari was influenced by household income, and household dependents.Key words: income, vaname shrimp cultivator, welfare


2021 ◽  
Vol 8 (6) ◽  
pp. 57-66
Author(s):  
Truong et al. ◽  

Improving health and reducing catastrophic healthcare expenditure for the poor and near-poor are the major concerns of the Vietnam Government. This research analyses the impacts of health insurance schemes for the poor and near-poor households in Vietnam on two aspects, including healthcare utilization and out-of-pocket expenditure. The study applies the zero-inflated model and pooled OLS regression on the data that is extracted from the Vietnam Household Living Standard Surveys in two years 2014 and 2016. The findings show that health insurance significantly increases the probability of having a doctor visit and the number of doctor visits for a health check or outpatient treatment. For inpatient treatment, insurance does not increase the probability of having a doctor visit or the number of doctor visits. Having insurance significantly reduces out-of-pocket expenditures for both inpatients and outpatients.


2018 ◽  
Vol 11 (1) ◽  
pp. 33
Author(s):  
Chica Anditia Pratiwi ◽  
Dyah Setyorini Gunawan ◽  
Istiqomah Istiqomah

This study aims to analyze the economic efficiency of rice farming and to measure the contribution of rice farming to total household income and to analyze the living standard of farm households in Sambeng Kulon Village, Kembaran Sub-district, Banyumas Regency. The study was conducted in Sambeng Kulon Village, Kembaran Sub-district, Banyumas District. There were 71 farm households selected by stratified random sampling. The analysis used to calculate the economic efficiency of rice farming is R/C ratio. The contribution of paddy farming to farm household income is obtained by dividing the income earned from rice farming by the total household income multiplied by 100 percent. The living standard is measured by calculating the farm household income divided by the number of dependents in order to get percapita income. This figure is then compared to the regency’s current decent living standard. The results of this study indicate that 1) rice farming in Sambeng Kulon village with an area of ​​≤ 0.5 Ha has a smaller profit (IDR2.718.580) compared with respondents who have land area> 0.5 Ha (IDR7.892.904), 2) the average contribution of rice farming income to farm households with landholding of  ​​≤ 0.5 Ha (54,96 percent) is lower than the contribution of rice farming income obtained by respondents with landholding of > 0.5 Ha (77,43 percent), 3) the average income earned by respondents from rice farming (IDR1.624.961,00) is sufficient to meet the average household consumption of IDR 1,379,441.00, and 4) of 71 respondents in Sambeng Kulon Village, 63 respondents live below the decent living standard; after being added with nonfarm income, this figure decreased to 55 respondents. The implication of this research is that the respondents are expected to increase the landholding to increase income earned from rice farming or earn additional nonfarm income so that they can meet household consumption.


2017 ◽  
Vol 45 (4-5) ◽  
pp. 483-506 ◽  
Author(s):  
Haomiao Zhang

China’s Minimum Living Standard Guarantee System (MLSGS) provides an unconditional cash transfer to poor households to alleviate poverty. During China’s transitional period, the MLSGS has played an important role in the maintenance of social stability. However, beyond poverty alleviation and stability maintenance, other outcomes—particularly the strengthening of citizenship—have received little attention. This study explores the influence of the MLSGS on the perceptions of citizenship among aid recipients, and finds not only that the MLSGS has gradually promoted the social rights of the poor and strengthened state-citizen interactions, but also finds issues and challenges that may limit Chinese citizens’ ability to fully exercise their new rights.


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