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2020 | OriginalPaper | Buchkapitel

India’s Manufacturing Story: Productivity and Employment

verfasst von : Pilu Chandra Das, Deb Kusum Das

Erschienen in: Accelerators of India's Growth—Industry, Trade and Employment

Verlag: Springer Singapore

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Abstract

Services have been the driver of India’s overall growth since the onset of economic reforms in India and particularly beginning the 2000s. However, India’s manufacturing sector continues to draw attention despite several decades of reforms covering industrial policies and trade liberalization. The government through its several initiatives—National Manufacturing Policy as well as ‘Make in India’ program—continues to drive the sectors role in the overall growth and development. The sector is targeted to contribute around 25% of GDP by 2025 as against its current 16% share. In the recent past, Indian manufacturing has attained a sharp rise in growth and this augurs well for a sector that has seen stagnancy in its share of GDP in the last several decades. The lack of jobs in organized manufacturing has so far failed India’s industrial objectives and add to that is the large number of people employed in informal manufacturing activities as well has remained a perennial challenge to development needs. The productivity performance of manufacturing industries has been well documented and continues to exhibit low productivity growth. A recent study by Das et al. (The World Economy: Growth or Stagnation? Cambridge University Press, Cambridge, pp. 199–233, 2016) however finds labour-intensive manufacturing outperforming non-labour-intensive goods during the period 2000–15 and this is important when we have evidence of declining labour intensity even in labour-intensive manufacturing (Sen and Das in Economic and Political Weekly 50(23):108–115, 2015). Several challenges remain if productivity is to be improved. Most critics would point to the labour market rigidities for the inefficiency in the manufacturing sector, but there remains several issues beyond simple labour market reforms that need to be addressed—particularly those related to skill formation and its impact of labour quality. The present study would cover the manufacturing industries for the period 2000–2015 in an attempt to understand the productivity dynamics in manufacturing sector and its relation to employment. Using a neoclassical growth accounting technique and the India KLEMS dataset, we would examine the manufacturing performance both at the aggregate-level as well as 13 disaggregated industries and present an industry-level perspective on manufacturing performance. The period of study would also take into account the several phases of the Indian economy including pre-global slowdown, slowdown and recovery phase. The study would address some of the possible determinants of manufacturing performance which need attention if the stagnancy of manufacturing share in overall GDP is to be reversed.

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Fußnoten
1
The data is available at the RBI website.
 
2
The details are also available in the Data Manual at the RBI website.
 
3
Problems in using UPSS includes (1) the UPSS seeks to place as many persons as possible under the category of employed by assigning priority to work; (2) no single long-term activity status for many as they move between statuses over a long period of 1 year; and (3) usual status requires a recall over a whole year of what the person did, which is not easy for those who take whatever work opportunities they can find over the year or have prolonged spells out of the labour force.
 
4
In the India KLEMS Database version 2018, we use an external rate of return. However, one can also use an internal rate of return, which will ensure complete consistency with NAS (see Jorgenson and Vu 2005). This will be attempted in the future. See Erumban (2008) for a discussion on alternative approaches to the measurement of rental prices.
 
5
More than 94% of total employed persons were engaged in the three sectors (agriculture, manufacturing and services) in 2000–01, where the combined employment share of these sectors drop to nearly 84% in 2016–17. Employment share of construction sector significantly rises during this period by merely 10%.
 
6
Goldar et al. (2017) has analyzed in considerable detail the growth, productivity and employment generation in India Manufacturing during the 35-year period of 1980–81 to 2014–15, with a focus on organized sector of manufacturing which dominates in Indian manufacturing in terms of capital stock, output and value added. They observe that trend growth rate in employment was less than 1% during 1980–2002, and it was more than 4.5% per annum during 2003–14.
 
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Metadaten
Titel
India’s Manufacturing Story: Productivity and Employment
verfasst von
Pilu Chandra Das
Deb Kusum Das
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-32-9397-7_2