{"title":"Determinants of Ceramic Products Manufacturing Workers Income in India: Empirical Evidence from NSO-PLFS Data","authors":"","doi":"10.35716/ijed-22466","DOIUrl":null,"url":null,"abstract":"India is the second largest producer of ceramic tiles worldwide, accounting for 7 per cent of the global production. The Indian Ceramic Industry has matured and is expected to grow at 9 per cent CAGR by 2022. The present study estimated the state-wise number of ceramic workers using NSO-PLFS data from 2017-18 to 2020-21. Uttar Pradesh was on the top list, with 1.02 lakh workers engaged in this industry, followed by West Bengal, Rajasthan, and Gujarat. The truncated Tobit regression model results showed a significant gap between ceramic and non-ceramic workers’ earnings, and per day earning of ceramic workers was determined based on age, education, and type of worker.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":" ","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Economics and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35716/ijed-22466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
India is the second largest producer of ceramic tiles worldwide, accounting for 7 per cent of the global production. The Indian Ceramic Industry has matured and is expected to grow at 9 per cent CAGR by 2022. The present study estimated the state-wise number of ceramic workers using NSO-PLFS data from 2017-18 to 2020-21. Uttar Pradesh was on the top list, with 1.02 lakh workers engaged in this industry, followed by West Bengal, Rajasthan, and Gujarat. The truncated Tobit regression model results showed a significant gap between ceramic and non-ceramic workers’ earnings, and per day earning of ceramic workers was determined based on age, education, and type of worker.
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