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Journal of Environmental Biology

pISSN: 0254-8704 ; eISSN: 2394-0379 ; CODEN: JEBIDP
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    Abstract - Issue Nov 2020, 41 (6)                                     Back


nstantaneous and historical temperature effects on a-pinene

Technical efficiency of Indian farmers in sugarcane production-A panel stochastic frontier approach

 

K.T. Felix1*, M. Umanath1, P.N. Kumar2 and N.K. Meena3 

1Department of Economics, Madras Institute of Development Studies, Chennai-600 020, India

2Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore-641 003, India

3Department of Agricultural Economics, Sardar Vallabh Bhai Patel University of Agriculture and Technology, Meerut-250 110, India

*Corresponding Author Email : felixtheeconomist@gmail.com ??

Paper received: 13.06.2020 ?????? ???????????????????????????????????????Revised received: 03.10.2020 ???????????? ????????????????????????????Accepted: 30.10.2020

 

Abstract

Aim: To estimate the technical inefficiency of Indian farmers in sugarcane production.

Methodology: Although various stochastic frontier models for panel data are available, six of them were considered for the study, which is frequently applied in empirical research. Based on the log likelihood ratio, results are interpreted only for kumbhakar, lien and hardaker (KLH) model.

Results: Indian farm?s overall technical efficiency ranged from minimum 0.11 to maximum 0.93 with a mean value of 0.70, it means that with same resource based average sugarcane growers can increase their yield up to 23% and most technical inefficient grower can increase their yield up to 82% in order to achieve overall technical efficiency level (93%) of efficient fellow grower in study area. Though, Tamil Nadu has the highest overall technical efficiency score in sugarcane production (0.76), the negative growth rate indicates its decline in technical efficiency. Haryana has a negative growth rate in persistent, residual and overall technical efficiency in sugarcane production.      

Interpretation: Among the seven states, Uttaranchal showed the highest scope of improving the sugarcane yield with 36%, followed by Uttar Pradesh (34%), Haryana (33%), Maharashtra (30%), Karnataka (30%), Andhra Pradesh (25%) and Tamil Nadu (24%). Results of parameter estimates confirmed that area in hectare, machine usage in hours, seed quantity in kilograms, manure usage in quintals and total fertilizer usage in kilograms are significant and positively influence the sugarcane production. The coefficients of dummy for farm size reveals that medium and large sugarcane farms are less efficient compared to small farms. Similarly, the share of own machine-hours has a negative impact on sugarcane production. Based on the empirical results appropriate policy is suggested for the study.          

Key words: Frontier, Panel data, Production, Sugarcane, Technical efficiency

 

 

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