1,720,970 research outputs found
Satis Devkota
No full textDevkota, Satis C. and Mukti P. Upadhyay. What Factors Change Education Inequality in Nepal?, Journal of Human Development and Capabilities: A Multi-Disciplinary Journal for People-Centered Development, 16,2 (2015): 287-308.https://digitalcommons.morris.umn.edu/cosa2015/1016/thumbnail.jp
Impacts of COVID-19 on Nepalese Economy
Get PDFEven though Nepal reported the first confirmed case of COVID-19 in late January 2020, Nepal was one of the least affected countries in South Asia until the end of April 2020. Lockdown and social distancing were implemented from the very beginning and people also contributed voluntarily with certain exceptions to that government’s efforts. That has a positive effect on flattening the curves of COVID-19 affected people and the related death rates in Nepal. However, the macroeconomic consequences of the pandemic are pretty high for a remittance based small economy. This hardship is further escalated when the excessive inflow of the Nepali migrant workers from India carried and transmitted the virus to 1,811 people by June 1, 2020. Still, that number is not high if the government gets success to control the spread outright
Satis Devkota & Bibhudutta Panda
No full textDevkota, Satis and Panda, Bibhudutta (2016). Socioeconomic gradients in early childhood health: evidence from Bangladesh and Nepal. International Journal for Equity in Health 15:78.https://digitalcommons.morris.umn.edu/cosa2016/1017/thumbnail.jp
How do income and education affect health inequality: evidence from four developing countries
No full textHow does education inequality respond to policy? A method and application to survey data from Albania and Nepal
No full textCaste-Ethnic Disparity in Vaccine Use Among 0- to 5-Year-Old Children in Nepal: A Decomposition Analysis
Get PDFObjectives To examine what factors, if any, could account for caste/ethnic disparities in vaccine utilization between upper caste and indigenous, and upper caste and low caste (Dalit) groups in Nepal.
Methods Using the Institute of Medicine (IOM) approach to calculate disparity, we estimate the disparity between upper caste and indigenous, and between upper caste and Dalit 0- to 5-year-old children in Nepal. Then we use Fairlie’s non-linear regression-based decomposition technique to account for those disparities in immunization.
Results Using nationally representative data (the Nepal Living Standard Survey II and III), we construct a pooled cross-sectional series and calculate the disparity between upper caste and indigenous (8.047 %), and between upper caste and Dalit (7.215 %). Both of these comparisons are significant at less than 1 % significance level. Decomposition results show that a major portion of the disparity can be attributed to the difference in access to immunization services, followed by differences in household income and parental education.
Conclusions Nepal’s national vaccine programs should increase focus on reaching geographically distant populations, and continue to develop vaccination-related education efforts
Measurement and determinants of efficiency in crop production in Nepal
Get PDFOur study is an attempt to quantify efficiency of farmers and estimate the gap from its potential given the technology currently prevailing in Nepal. To estimate inefficiency in agriculture, we use a stochastic frontier production function. We also use OLS to compare the results for the Cobb-Douglas and translogarithmic functions to determine which of the two provides a better representation of the data. It is also interesting to examine what these functions yield for the levels of technical inefficiencies, returns to scale, and the elasticities of output with respect to different inputs
Inequality in health care utilization and equity: a cross-country comparision of low and middle income countries
Get PDFThis dissertation identifies the sustainable policies that can reduce disparity in health care utilization, education and income from the low and middle income countries represented by Albania, Nepal, Tajikistan and Tanzania. Concentration indices are used to calculate the income related inequality in health care utilization and education, and Gini index is used to calculate the inequality in income. Likewise, horizontal inequity index is used to test whether the principle of equal treatment for equal need and equal schooling for equal need is maintained in all countries under study. Finally, a mechanism is proposed for the first time in the literature to quantify the effect of policy change on disparity. Then this tool is used to quantify the effect of policy change on disparity in health care utilization, education and income.
Major findings of this dissertation are: (1) Statistically significant inequality exist in all countries under study and the principle for equal treatment for equal need and equal schooling for equal need are also not fulfilled. (2) Vicious vs. virtuous circle of disparity exist among health care utilization, education and income. For example, an increase in education and income may not always decrease income related inequality in health care utilization. However, if those increases respectively decrease the inequality in education and income first then that could automatically decrease inequality in health care utilization. This fact is equally applicable for the reduction of inequality in education and income. If the changes in policy variable increase the disparity in the same variable that could lead to the vicious circle of disparity among three whereas if that changes reduces disparity in the same variable that could leads to the virtuous circle of disparity among three. (3) Thus, integrated approach of development is sustainable and scalable than single sectoral development policy to eliminate disparity from low and middle income countries represented by Albania, Nepal, Tajikistan and Tanzania
Income Convergence among Districts of Nepal
No full textWe study absolute and conditional convergence of real income per capita in Nepal using cross-section data. Lack of detailed data precludes estimations based on long time series for districts, development zones or topographical regions. A similar constraint exists in estimating the - convergence which indicates if the dispersion of incomes is narrowing over time. Yet data available from Nepal over the last decade do permit investigation of some convergence issues. We use the results of the National Living Standard Survey (NLSS) I and II (Central Bureau of Statistics) to examine if the initially poorer districts have displayed a tendency to catch up with the initially richer districts
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