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    <name>Article</name>
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              <text>Stochastic frontier analysis to measure technical efficiency: Evidence from skilled and unskilled agricultural labour in india</text>
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          <name>Subject</name>
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              <text>Mustard production; Skilled/ Unskilled Labour; Stochastic frontier analysis; Technical efficiency</text>
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              <text>This paper comprises the stochastic frontier model which has been applied to measure the technical efficiency of skilled and unskilled labour. By considering the certain input variables listed in the cost of cultivation suggested by the Commission of Agricultural Costs and Prices (CACP) for Indian states during the main cropping season. Result of the study shows that the evaluated average technical efficiency estimates have been found between 71 to 84 % for both type of labour. Factors i.e. use of seeds (77 % efficient), fertilizers (29 % inefficient), manure (3 % efficient), land, human (9 % efficient), attached (10 % efficient) and casual (103 % efficient) labor, animal labor (is between 1 to 4 % efficient), hired machine (33 % inefficient), owned machine (7 % efficient), insecticides (20 % efficient), irrigational cost (31 % efficient), fixed cost (36 % inefficient) and operational cost (197 % inefficient) have a significant at 1, 5 and 10 % level of significance1.  2020 DAV College. All rights reserved.</text>
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          <name>Creator</name>
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              <text>Dagar V.; Bansal E.; Murshed M.; Mishra V.; Alvarado R.; Kumar A.; Anser M.K.</text>
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              <text>International Journal of Agricultural and Statistical Sciences, Vol-16, No. 2, pp. 647-657.</text>
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              <text>DAV College</text>
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              <text>2020-01-01</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 9731903</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Dagar V., Amity School of Economics (ASE), Amity University, Noida, 201 303, India; Bansal E., Janki Devi Memorial College, University of Delhi, New Delhi, 110 060, India; Murshed M., School of Business and Economics, North South University, Dhaka, 1209, Bangladesh; Mishra V., Department of Economics, Christ University, Bangalore, Karnataka, 560 076, India; Alvarado R., Carrera de Economia, Universidad Nacional de Loja, Loja, 110 150, Ecuador; Kumar A., Dept. of Economics and Public Policy, Central University of Himachal Pradesh, Dharamshala, Kangra, 176 215, India; Anser M.K., School of Public Administration, Xi'an University of Architecture and Technology, Xi'an, Shaanxi, 710 055, China</text>
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