Econometric Analysis Of Efficiency In The Indian Manufacturing Sector

Maria Caracota Dimitriu () and Blessy Mathew Savu ()
Additional contact information
Maria Caracota Dimitriu: The Academy of Economic Studies, Faculty of Business Administration in Foreign Languages (English and French).

Journal for Economic Forecasting, 2010, issue 1, 182-197

Abstract: Performance in the manufacturing sector, in relation to productivity growth, scale efficiency and technical efficiency in India is dichotomous in nature, depending on whether the firm in question functions in the formal or informal sector. The main differences between these two sectors and the changes over a decade are observed and analyzed, using aggregated data for the entire manufacturing sector in India. Using stochastic frontier approach, and therein the maximum likelihood models, efficiency in the two sectors is compared and verified against factors affecting the levels of efficiency obtained for each major industry category. The results are analyzed against realities on ground-level from a socio-economic perspective.

Keywords: manufacturing; formal; informal; organized; unorganized; returns to scale; technical efficiency; cross-sectional data; maximum likelihood estimation; efficiency gap; India; industries (search for similar items in EconPapers)
JEL-codes: C01 C21 C22 D24 D61 E26 (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.ipe.ro/rjef/rjef1_10/rjef1_10_14.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rjr:romjef:v::y:2010:i:1:p:182-197

Access Statistics for this article

Journal for Economic Forecasting is currently edited by Lucian Liviu Albu and Corina Saman

More articles in Journal for Economic Forecasting from Institute for Economic Forecasting Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ( this e-mail address is bad, please contact ).