Unorganized Workers Case Study

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S.K.G. Sundaram (2000) studied the case of Mumbai with reference to the unorganized workers observed in many markets. The study is mainly focused on the theoretical aspects of unorganized labor with reference to ILO and other working institutions in the same area. Mumbai city is taken as the case study and the problems of these underprivileged workers are observed. he studied the case of Mumbai with reference to the problems faced by unorganized workers in many markets such as cotton and cloth market, grocery market, iron & steel market, transport, dock labor, railways, Mathadi workers, child and women laborers, handicapped, taxi-drivers, hawkers, dhobis, tiffin box suppliers, domestic workers, rag pickers, prostitutes etc. The associations…show more content…
The unorganized sector is defined as private enterprises with less than ten workers (NCEUS, 2007).(National Commission for the Enterprises in Unorganized sector is the national body commissioned by Indian Government to address the issues faced by Enterprises in relations to the unorganized sector. It keeps eye on the unorganized sector of India.)The paper speaks about unorganized sector meaning, its various types, categories like wage workers, self-employed, and home workers as a distinct category. He gives the estimates of this sector in data. It includes the agricultural workers, bonded workers, poverty and vulnerability in the employment in the said sector. Paper concludes with the measures against unorganized sector and the special recommendations of NCEUS by a way of bringing reforms. The special recommendation is that the casual workers should be brought into it as regular…show more content…
Over the years, unorganized sectors have contributed appreciably to the Indian economy. Despite the significant role, they are having lack of power of accessing the credit. The present study is based on Kolkata city of West Bengal and describes demographic and social conditions of the unorganized workers and also investigates factors which influence credit accessibility. Primary data captured through a structured questionnaire was administered to a total of 130 respondents. In order to find out causes behind the inaccessibility of credit, binary logistic regression method has been considered appropriate. The result of the analysis suggests that male are more likely to access credit than female and the predictor is

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