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An Insight into the Impact of Socio-Economic Variables on Bhadohi Carpet Industry

Journal of Rural and Industrial Development

Volume 7 Issue 2

Published: 2019
Author(s) Name: Chandrika Soni | Author(s) Affiliation: Assistant Professor in Economics, Gaya College, Gaya, Magadh University, Bodhgaya, Bihar, India.
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Abstract

The study was conducted in Bhadohi district of Uttar Pradesh which is also known as “Carpet City”. Seventy-two respondents were selected using Snow-ball sampling techniques as there was no clear listing available of Handmade Carpet manufacturing units. A structured interview was used to collect information from the respondents. Statistical analysis was accomplished by means of frequency distribution, percentages, and multiple regression analysis. The result showed that out of eight explanatory variables used, only four variables were statistically significant at 5% level of significance. These variables are the caste of the manufacturers, an age of manufacturing units, number of looms, and the location of the units. The coefficient for caste, the number of looms and location is positive, which means that there is a positive association with them, whereas, for starting years of manufacturing units is negative which means there is no impact on years devoted in the carpet manufacturing units. Other variables which did not affect the level of production significantly in the study area are age, sex, educational level of the respondent and amount of capital invested. Based on the finding, it was recommended that more manufacturers should be encouraged to improve their Carpet production techniques to increase their revenue from it and also try to remove the obstacles which are prevailing in this industry. In addition, manufacturers should be assisted in providing the necessary infrastructural facilities, training, etc. for the weavers as well as for manufacturers so that they could have access to improve their methods and technologies for Handmade Carpet Production.

Keywords: Carpet Industry, Carpet Production, Total Revenue, Manufacturers

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