http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Remittances and Household Expenditure Patterns of Selected Families in Kathmandu Valley
( Ram Kumar Phuyal ),( Ram Chandra Dhakal ),( Anju Koirala ) 전남대학교 지역개발연구소 2016 지역개발연구 Vol.48 No.2
This paper made an attempt to study the household expenditure patterns of remittance receiving families in Kathmandu. A field survey was conducted in order to see the contribution of remittance for improving the livelihood of the respondents` family. The factors incorporated in the study were; basic consumption, education, health, entertainment, saving pattern, building a new house and repayment of loan expenses. Non-probability convenient sampling technique was used and a structured questionnaire was distributed to collect the information from the respondents in Kathmandu. The study depicted that the highest portion of the remittance was used on purchasing food expenses and for the education expenses of the children. Other portion of it was used for health expenses, saving; repayment of the loan and etc. The analysis predicts that remittance-recipient households experienced a significant effect of remittance on the household`s consumption, education and health expenses as well as saving which leads to improve the wellbeing of the family.
Micro-level estimation of rural poverty and inequality in a village of Nepal
( Anita Bhatt Phuyal ),( Ram Kumar Phuyal ) 전남대학교 지역개발연구소 2015 지역개발연구 Vol.47 No.3
This paper analyzes different natures of rural poverty, and estimate the regression line between income and consumption relationship of Kantai Village Development Committee of Darchula district of Nepal. Each sampling unit of different wards of research area was selected purposively and information sought through structured questionnaires by the researchers. The study has estimated absolute poverty line (Rs. 33.76) which is 60% of sample population. Similarly, upper poverty line (Wolf point) has been estimated to Rs.41.87 per day per capita which is, 78% of sample population whereas 17.5% people are relatively poor and 22% are non poor. Gini's coefficient among the total sample households is found 0.34 and marginal propensity to consume of absolutely poor households is 0.74.The correlation coefficient between income and consumption among total sampled households is 0.83. Hence, the entire outcomes conclude that there is positive correlation between income and consumption. The study also traces out about the high disparity in landholding where most of the poor households are found to be landless. The result recommends that government should provide basic education, nutrition, electricity, and communication facilities to the people of study area, and also support them for creating alternative opportunities of employments for their livelihood.