Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/8188
Title: A study of growth structure and productivity of selected manufacturing industries in Haryana and Punjab state
Researcher: Shallu Sehgal
Guide(s): Sharma, Supran Kumar
Keywords: Tobit Regression.
DEA
Non Parametric Frontier
Catching Up
Innovations
Convergence
Upload Date: 18-Apr-2013
University: Shri Mata Vaishno Devi University
Completed Date: n.d.
Abstract: The present attempt has been devoted to measure the level, growth behaviour and status of inclusivity of technical efficiency and malmquist productivity based total factor productivity of manufacturing sector of two of the selected states of Indian Union. For the purpose, data envelopment analysis is applied in the 11 broad industrial groups of the organized manufacturing sector with the help of pooled data of 27 years starting from 1981-82 to 2007-08. Both the states have various common features including demographic composition, contribution of nation pool in terms of agriculture production particularly rice and wheat, socio economic indicators, etc. However, while measuring growth and performance of the two states in terms of structure, level of development, efficiency and productivity of manufacturing sector it is interesting to experience that there are only a few aspects on which the states share common platform. In terms of labour productivity, capital productivity and employment generation state of Haryana is performing better. Whereas when issues of the level of technical efficiency are being raised the state of Punjab is good enough. As against this Punjab robust technical progress is seen in most of the industries. Inter- industry differences are also seen within the states and also across the states in terms of productivity and efficiency. The findings of the study depicts that the level of capital deepening in the manufacturing sector of the two states is registering reverse relationship with labour productivity. These results signify the importance of labour inputs in the production process and need attention of the policy makers to rationalize the level of capital deepening or capital-labour ratio of the manufacturing sector the two regional economies. The study has estimated six specific production functions for the panel form data of different categories of manufacturing sector of the two states.
Pagination: 246p.
URI: http://hdl.handle.net/10603/8188
Appears in Departments:School of Business Economics

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01_title.pdfAttached File70.05 kBAdobe PDFView/Open
02_certificate.pdf50.03 kBAdobe PDFView/Open
03_dedication.pdf83.84 kBAdobe PDFView/Open
04_acknowledgement.pdf89.52 kBAdobe PDFView/Open
05_abstract.pdf96.81 kBAdobe PDFView/Open
06_contents.pdf14.46 kBAdobe PDFView/Open
07_list of tables.pdf38.61 kBAdobe PDFView/Open
08_list of figures.pdf51.83 kBAdobe PDFView/Open
09_chapter 01.pdf303.1 kBAdobe PDFView/Open
10_chapter 02.pdf234.76 kBAdobe PDFView/Open
11_chapter 03.pdf427.47 kBAdobe PDFView/Open
12_chapter 04.pdf968.38 kBAdobe PDFView/Open
13_chapter 05.pdf404.41 kBAdobe PDFView/Open
14_chapter 06.pdf499.39 kBAdobe PDFView/Open
15_chapter 07.pdf239.43 kBAdobe PDFView/Open
16_appendix.pdf289.18 kBAdobe PDFView/Open
17_annexure 01.pdf93.47 kBAdobe PDFView/Open
18_annexure 02.pdf91.75 kBAdobe PDFView/Open
19_annexure 03.pdf122.66 kBAdobe PDFView/Open
20_annexure 04.pdf335.08 kBAdobe PDFView/Open


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