scholarly journals Employment elasticity in organized manufacturing in India

Author(s):  
Dipak Mazumdar ◽  
Sandip Sarkar
2018 ◽  
Vol 3 (3) ◽  
pp. 59-66
Author(s):  
Jamaliah Jamaliah ◽  
Rosyadi Rosyadi

Objective - Labor is one of the most important factors in production activities. Increased human effort in the production process will increase output, productivity and promote economic growth. This research aims to analyze the condition and potential of labor demand in Pontianak City, analyze job opportunities in Pontianak City and formulate a strategy of labor policy in Pontianak City. Methodology/Technique - The method used is descriptive with quantitative analysis which a qualitative interpretation. The data used is secondary data and related documents for data enrichment. Findings - The results show that: labor demand is showing an increasing trend year by year, increasing employment absorption from 233,788 in 2010 to 244,236 in 2014. The rate of absorption growth occurs primarily in the agriculture, building and transportation industries. Employment elasticity in Pontianak City is relatively low at only 0.02% which means the growth of labor absorption is smaller than the increase of economic growth. Novelty - This research shows that employment policy strategies in Pontianak City need to increase the role of Training Center (BLK), the enrichment of nutrition improvement and sustainability, encourage investment, increase competitiveness through increasing labor productivity and increase labor flexibility to the rules among other things. Type of Paper: Empirical. Keywords: Employment Demand; Employment Elasticity; Employment Policy Strategy. JEL Classification: J20, J21, J29.


2020 ◽  
Author(s):  
SETAK PALAK ◽  
Sandhyarani Das

Abstract This paper analyses the phenomenon of growth in India through the lens of employment elasticity. Investigative results are imitative for decompositions of both the level and change of combined employment elasticity in terms of sectoral elasticities, relative development and employment shares. Estimates of these decompositions are presented with employment and output data from related sources for both economies. In India, MSME sector was the key determinant of both the level and change of aggregate elasticity. In India, service is the most important determinant of the level, but manufacturing remains an important driver of changes in aggregate employment elasticity. The core objective of the present paper remains to analyse the growth and elasticity output relationship in this sector, so the study contains the productivity analysis of the MSME sector in India. This will unleash the role of the various inputs and output in production here. Extended Cobb Douglas Production Function has been utilised on the secondary, cross section data of MSMEs of India. Different variables like employment, Number of working enterprises, input, output and capital are selected to analyze their effects of MSMEs.


2019 ◽  
Vol 12 (2) ◽  
pp. 202-228
Author(s):  
Suresh Chand Aggarwal ◽  
Bishwanath Goldar

Purpose This study aims to analyze the structure and trend in employment in the Indian economy between 1980-8081 and 2015-2016. Design/methodology/approach Use of India KLEMS data set. Estimate growth rate of employment and discuss employment prospects using “Point” employment elasticity. Findings Whilst India’s GDP growth rate has been quite impressive since the reforms of 1991, the rate of employment growth, especially in the recent period of 2003-2015, has been quite slow (1 per cent) with low employment elasticity (0.1). The pattern of employment growth has also been imbalanced with slow rate of employment growth in manufacturing and rapid growth rate in the construction sector. India now also has low labour force participation rate and a large share of informal employment in the economy. Research limitations/implications The limitation is the lack of reliable data on employment for the recent period. Practical implications With overall low employment elasticity, India would have to explore sectors where more employment opportunities could be created. Social implications India has to create not only more jobs but also “good” jobs. Originality/value The India KLEMS data provide a time series for employment, which has been used in this paper to find “Point” elasticity instead of arc elasticity of employment and is an improvement over existing employment elasticity estimates.


2016 ◽  
Vol 20 (1) ◽  
pp. 189-200 ◽  
Author(s):  
Bo Chen ◽  
Yao Li ◽  
Yuming Yin

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