TOTAL FACTOR PRODUCTIVITY GROWTH OF COTTON CROP IN MAHARASHTRA

D.J. SANAP1*, S.S. MORE2, R.B. HILE3
1Junior Research Assistant, CPMCC Scheme, Department of Agricultural Economics. MPKV, Rahuri, Maharashtra
2Assistant Professor, Department of Agricultural Economics, VNMKV, Parbhani, Maharashtra
3Associate Professor, Department of Agricultural Economics, MPKV, Rahuri, Maharashtra
* Corresponding Author : sanapdj@gmail.com

Received : 09-09-2015     Accepted : 10-09-2015     Published : 07-11-2015
Volume : 7     Issue : 8       Pages : 638 - 642
Int J Agr Sci 7.8 (2015):638-642

Keywords : Total Factor Productivity, Tornquist-Theil Index, Productivity, Cotton
Academic Editor : Dr D. B. Yadav, Dr B. V. Pagire, K. P. Thakar, Narinder Deep Singh, K. R. Nethrayini
Conflict of Interest : None declared
Acknowledgements/Funding : None declared

Cite - MLA : SANAP, D.J., et al "TOTAL FACTOR PRODUCTIVITY GROWTH OF COTTON CROP IN MAHARASHTRA." International Journal of Agriculture Sciences 7.8 (2015):638-642.

Cite - APA : SANAP, D.J., MORE, S.S., HILE, R.B. (2015). TOTAL FACTOR PRODUCTIVITY GROWTH OF COTTON CROP IN MAHARASHTRA. International Journal of Agriculture Sciences, 7 (8), 638-642.

Cite - Chicago : SANAP, D.J., S.S. MORE, and R.B. HILE. "TOTAL FACTOR PRODUCTIVITY GROWTH OF COTTON CROP IN MAHARASHTRA." International Journal of Agriculture Sciences 7, no. 8 (2015):638-642.

Copyright : © 2015, D.J. SANAP, et al, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

Measurement of productivity growth is very essential to take appropriate policy decisions for the development of the agriculture sector. Present study measures trend in production, total factor Productivity growth of cotton crop in Maharashtra State. The Tornquist-Theil chained Divisia index approach was applied for the measurement of total factor productivity using input and output data of Cotton. Farm-level data on yield, inputs use level and their prices for the period from 1989-90 to 2008-09 were taken from the State funded Cost of Cultivation Scheme. The multi-variable model was estimated to know the determinants of total factor productivity growth taking total factor productivity as dependent variable. Beside double sown area, other explanatory variables included total amount of loan disbursed, net cropped area, area under irrigation, area under high yielding variety, annual rainfall, villages electrified, number of tractors, number of pump sets and road density. The results indicated that highest total factor productivity figures was recorded 163.89 in the year 2008-09 whereas lowest 80.51 in the year 1993-94. The agriculture year 2008-09 was best year for Cotton production in the region whereas 1993-94 was the worst agriculture year for Cotton production. The results also reported that, out of 20 agriculture year, 11 agriculture years were favorable for Cotton production in the region in which growth in total factor productivity of Cotton was recorded in Maharashtra. Area under irrigation, area under high yielding varieties, rainfall, and road density has positive and significant impact on total factor productivity of cotton crop in Maharashtra.