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Sharma, Poonam
- Paradigm Shift in Compensation to Workers in Indian Manufacturing-Role of LPG Policies
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Authors
Affiliations
1 University Business School, Panjab University, Chandigarh, IN
1 University Business School, Panjab University, Chandigarh, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 54, No 3 (2019), Pagination: 428-440Abstract
The paper aims at analyzing the trend of compensation to the workers and employees in Indian manufacturing sector. The data for this study is collected from Annual Survey of Industries 2014- 15 published in 2017 by Central Statistical Office. The function distribution of income theory approach has been used as the basis to design this paper. The comparative analysis of pre-reform and post-reform data has been done using dummy variable regression to check the structural break in series due to 1991 reforms. The major finding of this paper is that the profits have increased more than the other factors of production. On the contrary, the compensation paid to employees and workers has gone down drastically.References
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- Does Social Capital Affect Perceived Job Environment? Evidence from IT & ITES Sectors
Abstract Views :274 |
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Authors
Affiliations
1 Professor, University Business School, Panjab University, Chandigarh, IN
2 Senior Research Fellow, University Business School, Panjab University, Chandigarh, IN
1 Professor, University Business School, Panjab University, Chandigarh, IN
2 Senior Research Fellow, University Business School, Panjab University, Chandigarh, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 56, No 1 (2020), Pagination: 157-166Abstract
Perception about job environment affects job satisfaction levels of employees. The purpose of this research is to study the relationship among certain social capital variables and perceived job environment. The descriptive research design has been followed for this study. The respondents of the study are employees of IT and ITES firms in Chandigarh. IT and ITES jobs involve long working hours with daily and monthly targets. Thus, the perceived job environment becomes all the more important. Multiple regression analysis and correlation analysis has been used for data analysis. Social capital variables are found to have a significant relationship with the perceived job environment at the workplace.Keywords
No Keywords.- Entrepreneurship & Inequalities in India: An ARDL Bounds Testing Approach
Abstract Views :116 |
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Authors
Poonam Sharma
1,
Kajal Gupta
2
Affiliations
1 Senior Research Fellow, University Business School, Panjab University, Chandigarh, IN
2 Senior Research Fellow, Department of Evening Studies, Multi-Disciplinary Research Centre, Panjab University, Chandigarh, IN
1 Senior Research Fellow, University Business School, Panjab University, Chandigarh, IN
2 Senior Research Fellow, Department of Evening Studies, Multi-Disciplinary Research Centre, Panjab University, Chandigarh, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 57, No 1 (2021), Pagination: 32-43Abstract
This study revisits the link between entrepreneurship and income inequalities in India over the period 1981- 2017 using the Autoregressive Distributed Lag (ARDL) Bounds Testing Approach of Cointegration and Error Correction Model (ECM). The study is based on the registered manufacturing sector with Gini coefficient being used as a proxy of income inequality and gross capital formation and profits earned being used as an indicator of entrepreneurship. It finds that capital formation has a positive impact on Gini coefficient in the shortrun; In the long-run, the impact is negative. It also reveals that an increase in Gini coefficient increases the profits in both short-run and longrun, the profits in turn decreases Gini coefficient in short-run. The study concludes that there exists a two-way association between entrepreneurship and income inequalities in India.References
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- Sharma, M. K. & Sharma, P. (2019), “Paradigm Shift in Compensation to Workers in Indian Manufacturing-Role of LPG Policies”, Indian Journal of Industrial Relations, 54(3): 428–40.
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