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  • 标题:Informal Street Food Trade: A Source of Income Generation in Urban Nepal
  • 本地全文:下载
  • 作者:Dipak Bahadur Adhikari
  • 期刊名称:Economic Journal of Development Issues
  • 印刷版ISSN:2091-2285
  • 出版年度:2018
  • 卷号:23
  • 期号:1-2
  • 页码:1-17
  • DOI:10.3126/ejdi.v23i1-2.19062
  • 语种:English
  • 出版社:Department of Economics Patan Multiple Campus
  • 摘要:Street food trade is a growing sector in many developing countries, Nepal among them. As a means to provide low-cost food to a growing urban population of poor, unemployed people and low-wageworkers, street food trade –a predominantly self and family-based activity – has become an opportunity to generate income for many among those same urban poor living in Kathmandu Metropolitan City. On the basis of cross-sectional data collected from a sample of 50 street food vendors in two main areas of the city – namely New Bus Park and Ratna Park – this chapter analyzes the determinants affecting street food vendors’ income: whether it is correlated to vendors’ investment rates, education level, and labor supply, thus attempting to find employment and income patterns. Data are analyzed using OLS regression, and STATA- 12 statistical software. Economic Journal of Development Issues Vol. 23 & 24 No. 1-2 (2017) Combined Issue, Page : 1-17
  • 其他摘要:Street food trade is a growing sector in many developing countries, Nepal among them. As a means to provide low-cost food to a growing urban population of poor, unemployed people and low-wageworkers, street food trade –a predominantly self and family-based activity – has become an opportunity to generate income for many among those same urban poor living in Kathmandu Metropolitan City. On the basis of cross-sectional data collected from a sample of 50 street food vendors in two main areas of the city – namely New Bus Park and Ratna Park – this chapter analyzes the determinants affecting street food vendors’ income: whether it is correlated to vendors’ investment rates, education level, and labor supply, thus attempting to find employment and income patterns. Data are analyzed using OLS regression, and STATA- 12 statistical software. Economic Journal of Development Issues Vol. 23 & 24 No. 1-2 (2017) Combined Issue, Page : 1-17
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