Migration From Rural Nepal: A Social Exclusion Framework

This paper seeks to answer two questions, ’who migrate?’ and ’who migrate where?’ Social exclusion is the framework for this study of migration. It is argued that social exclusion as measured by economic assets and human, cultural, social and geographical capital may explain or is correlated with the migration decision and the choice of destination. Using data from the Nepal Living Standards Survey 2003/04, a probit regression model is used to examine migration choice and a multinomial logit model is used to examine the choice of destination. The models are based on the presumption that social exclusion may explain the migration and the choice of destination. The indicators of social exclusion are found to provide opportunities and constraints for migration and the choice of destination

Subjective Well-Being Effects of Coping Cost: Evidence from Household Water Supply in Kathmandu Valley, Nepal

10.1007/s10902-018-0060-6Journal of Happiness Studies2082581-260

Challenges to Leave No One Behind in Nepal for Achieving Sustainable Development Goals

Leave No One Behind (LNOB) is a core tenet of the 2030 Agenda for Sustainable Development. It is an endeavor to reach those groups of people who are the “furthest behind” concerning all the 17 Sustainable Development Goals (SDG). Nepal has been at the forefront of its commitment to SDGs. While numerous challenges exist, there have also been opportunities to identify and better understand why different groups have been left behind. In this context, the authors examine Nepal’s overall progress in addressing the core principle of LNOB and its challenges in reaching those furthest behind the first. For this, existing literature and disaggregated data were analyzed. The findings highlight that women among the gender, rural areas among the place of residence, and mountain and Tarai among the ecological zones are left behind in Nepal. Out of the seven provinces, four provinces are left behind in one of the indicators. Overall, Nepal is making slow progress in achieving SDGs regarding LNOB. Mainly, there is a significant process for SDG 1, 7, 8, 10, and 15, a moderate process for SDG 4, 6, and 12, a slow progress for SDG 2, 3, 5, 16 and 17, and a regress for SDG 9 and 11. The authors also identify four gaps and challenges affecting the achievement of SDGs and hindering the progress on LNOB. They are varying levels of understanding and capacity for SDG implementation and monitoring, resource crunch, lack of quality and reliable data, and the COVID-19 pandemic adverse effects. If Nepal wishes to achieve and rescue SDGs, leaving no one behind, it could address these gaps and challenges

Construction and annotation of a corpus of contemporary Nepali

In this paper, we describe the construction of the 14-million-word Nepali National Corpus (NNC). This corpus includes both spoken and written data, the latter incorporating a Nepali match for FLOB and a broader collection of text. Additional resources within the NNC include parallel data (English–Nepali and Nepali–English) and a speech corpus. The NNC is encoded as Unicode text and marked up in CES-compatible XML. The whole corpus is also annotated with part-of-speech tags. We describe the process of devising a tagset and retraining tagger software for the Nepali language, for which there were no existing corpus resources. Finally, we explore some present and future applications of the corpus, including lexicography, NLP, and grammatical research