Indian Journal of Industrial Relations: Economics & Social Dev.

Manoj K. Sharma ¹, Rajiv Khosla ²

Affiliations
1 Economics, University Business School, Panjab University, Chandigarh., IN
2 University School of Business, Chandigarh University, Gharuan, Mohali, IN

Abstract

This paper examines the extent and magnitude of regional disparities in the industrial economy from 1980-81 (pre-reforms) to 2009-10 (post-reforms) using discriminant function approach. Results indicated that huge disparities in industrial development still exist. Inclusion of some states in the list of developed ones in the recent past hints at amiable conditions for the industrialization of any state in the country provided state governments frame proper industrial policies. Further, productivity measures along with the physical measures turned out to be the factors responsible for regional imbalances during post reforms period instead of productivity and profitability measures during the pre-reforms period.

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Rajiv Khosla ¹

Affiliations
1 Institute of Management, DAV College, Chandigarh, IN

Abstract

Policy makers are continuously emphasizing upon devising a strategy that can offload the burden on farm sector by reducing disguised unemployment and also ensure sustained increased earnings of the remaining farmers. Agro-industries in general and food processing industries in particular are expected to play a catalytic role at this juncture. This study is an attempt to find out the dominance, factor productivity growth and convergence of food processing industries using three-digit level data collected from Annual Survey of Industries for years 1980-81 to 2015-16.Results indicate that an increase in output in the food processing sector has taken place at the cost of labor and high growth is achieved by replacing labor with technology.

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Rajiv Khosla ¹, Ajay Khurana ²

Affiliations
1 former Professor, Chandigarh Group of Colleges, Mohali, IN
2 Research Scholar, Punjab Technical University, Kapurthala, IN

Abstract

This paper examines technical efficiency and its correlates in respect of the banking industry in India during 1995-2016. Using Data Envelopment Analysis to the RBI dataset for 51 banks, it revealed that technical efficiency score for all the banks measured at 0.8949,in turn, meant that the inputs of these banks were required to be reduced by 10.51 per cent. Managerial under-performance (pure technical inefficiency) accounted for 5.27 percentage points and the remaining amount by scale inefficiency. Thus, both managerial and scale inefficiencies contributed almost equally in the technical inefficiency. Public sector banks, private sector banks and foreign banks were found to operate at 89.33, 87.64 and 97.76 per cent level of overall technical efficiency respectively.

Keywords

No Keywords.

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