Please use this identifier to cite or link to this item: http://library.ediindia.ac.in:8181/xmlui//handle/123456789/13925
Title: An Assessment of Challenges Faced by Zari- Zardozi Artisans in Lucknow Region: A Mathematical Analysis.
Authors: Srivastava, Vikas Deepak
Shrivastava, Prabhu Narayan
Keywords: Handicrafts
Zari-Zardozi
Artisans
Bayesian Regression Model
ODOP
MSME
Issue Date: 24-Jul-2023
Publisher: State Seismology Administration
Abstract: This research study centers on the challenges faced by zari-zardozi artisans in Lucknow, region known for its exotic handmade craftsmanship industry. The focus of this study is to ascertain the difficulties experienced by these artisans working in this traditional handicraft industry in chosen research area and put forward necessary suggestions and recommendations for policy responses for revival of hard hit and waning of this significant local industry based on exclusive age’s long indigenous art and culture and help to restore its due recognition at global level. To facilitate this, a Bayesian likelihood regression model is approached to investigate the information gathered from a sample respondents of zari- zardozi artisans in research area. The model shows different factors like the age of the craftsman, their level of schooling, long periods of work involvement, and the market closeness for their handicraft items. The statistical findings of this study show that the artisans engaged in this profession face various difficulties, including restricted market access, competition from machine-made items, fluctuating low quality of raw materials, hiking manufacturing costs, and absence of knowledge about new market patterns. These difficulties render the jobs of the artisans and the sustenance of their family more vulnerable during post covid hit global economic condition. To establish statistical association among variables under study, Python and Stata 15 statistical tools have been used.
Description: Dizhen Dizhi Journal, ISSN:0253-4967, Volume 15, Issue 07, July/2023, 95-104p.
URI: http://library.ediindia.ac.in:8181/xmlui//handle/123456789/13925
ISSN: 0253-4967
Appears in Collections:Articles

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