Is the post-reform growth of the Indian manufacturing sector efficiency driven? Empirical evidence from plant-level data

2010 ◽  
Vol 21 (2) ◽  
pp. 219-232 ◽  
Author(s):  
Sumon Kumar Bhaumik ◽  
Subal C. Kumbhakar
Keyword(s):  
Empirical Evidence ◽  
Manufacturing Sector ◽  
Level Data ◽  
Plant Level ◽  
Indian Manufacturing Sector

scholarly journals Import Liberalization of Intermediates and Environment: Empirical Evidence from Chinese Manufacturing

2019 ◽  
Vol 11 (9) ◽  
pp. 2579 ◽  
Author(s):  
Ling-Yun He ◽  
Liang Wang
Keyword(s):  
Manufacturing Sector ◽  
Firm Level ◽  
Intermediate Inputs ◽  
Interaction Terms ◽  
Level Data ◽  
Plant Level ◽  
Pollution Emissions ◽  
The Impact ◽  
Scale Composition ◽  
Level Lowering

This paper investigates how the import liberalization of intermediates affects firm-level pollution emissions. We divide the impact of freer import of intermediates on pollution emissions into induced scale, composition and technique effects and then develop interaction terms to examine these effects. Relying on a panel of plant-level data from China manufacturing sector for the period 2001 to 2007, we find freer import of intermediate inputs is conducive to pollution reductions at the plant level, lowering pollution via induced technique and composition effects and, in turn, increasing emission through induced scale effect. In summary, import liberalization of intermediate inputs can contribute to the better environmental performance of China manufacturing sector.

Stochastic Frontier Analysis and Measurement of Productivity and Technical Efficiency of Indian Manufacturing Sector

2017 ◽  
Vol 5 (1) ◽  
pp. 52-69
Author(s):  
Manoj Kumar
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Manufacturing Sector ◽  
Stochastic Frontier ◽  
Value Added ◽  
Frontier Analysis ◽  
Use Of Resources ◽  
Plant Level ◽  
Indian Manufacturing Sector ◽  
Factor Inputs

It is generally believed the structural reforms that usher in competition and force companies to become more efficient were introduced later in India following the macroeconomic crisis in 1991. However, whether or not the post-1991 growth is an outcome of more efficient use of resources or greater use of factor inputs, especially capital, remains an open empirical question. In this article the author uses plant-level data from 1990 and 2015 to address this question. The results indicate that while there was an increase in the productivity of factor inputs during the 1990s, most of the growth in value added is explained by growth in the use of factor inputs. The author also finds that median technical efficiency declined in all but one of the industries between the two years, and change in technical efficiency explains a very small proportion in the change in gross value added.

scholarly journals Constructing quality-adjusted price indices from revenue and cost data

2007 ◽  
Vol 37 (4) ◽  
pp. 771-790
Author(s):  
Sergio Aquino DeSouza
Keyword(s):  
Direct Observation ◽  
Manufacturing Sector ◽  
Price Change ◽  
Price Indices ◽  
Demand And Supply ◽  
Beer Industry ◽  
Level Data ◽  
Plant Level ◽  
Using Data ◽  
Sector Plant

This paper shows how to construct quality adjusted price indices without direct observation of product-level data (prices, quantities and characteristics). The technique used here allows for a welfare based measurement of price change using commonly available (at least for the manufacturing sector) plant-level data on revenue and cost. However, one has to be explicit about the evolution of the outside good quality and the structure of demand and supply. Using data on the Colombian beer industry and combining the methodologies originally proposed by Katayama, Lu and Tybout (2003), DeSouza (2006a) and Trajtenberg (1990) I am able to uncover the demand parameters and build welfare-based price indices for the 1977-1990 period.

scholarly journals The missing middle phenomenon in Indian manufacturing sector: myths or realities?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
P. C. Parida ◽  
Arup Mitra ◽  
Kailash Ch. Pradhan
Keyword(s):  
Design Methodology ◽  
Manufacturing Sector ◽  
Financial Indicators ◽  
Firm Level ◽  
Content Type ◽  
Level Data ◽  
Level Information ◽  
Indian Manufacturing Sector ◽  
Missing Middle ◽  
The Relationship

PurposeThis study attempts to examine the missing middle (MM) phenomena in the context of the Indian manufacturing sector using the unit level information from the database of Ministry of Corporate Affair, Government of India.Design/methodology/approachUnlike the previous studies, the present study first bifurcated the missing enterprises into two categories such as “permanently” dropped and “reappeared,” in order to pursue a meaningful analysis and derive conclusions with policy insights. Various financial indicators were used to explain the causes of MM phenomena during 2009–2010 and 2016–2017, in a logistic framework.FindingsThe study found that profit margin ratio is higher for the group of medium sized enterprises which continued in comparison to the units which dropped out permanently. Similar is the case with the ratio of investment turnover. The econometric results, however suggest that the relationship between the chances of a firm being dropped out and financial indicators is weak as the coefficients of various financial indicators are found to be statistically significant only for a few years.Originality/valueThe study suggests that the missing middle phenomenon is not a myth in India as very large number of medium-sized firms have been disappearing from the market over the years. Based on firm level data it identifies the factors which resulted in such a phenomenon.

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