This study set out to measure the performance of organic farming in India. The study utilized data of 21 Indian states for the period 2016–2017, and the states are considered as decision making units for performance assessment. In the first step, we compared the “pure organic production” or “production technology set A” with the “production including the conversion period” of organic farming or “production technology set B” by incorporating the Data Envelopment Analysis (DEA) method of performance evaluation. In the second step, we estimated the performance of “pure organic production” and applied the bootstrap DEA method to correct the biasness in the traditional DEA approach. The input‐oriented DEA model reveals that on average technical efficiency of organic farming production is 84.7%, and the output‐oriented DEA model concludes 20% technical efficiency which means organic farming production can be increased by 80% with the same amount of inputs utilization. Evidence is presented in the conclusion which shows that organic farming practice is highly beneficial for land degraded states of India. The findings can contribute to implement policies for organic farming production in Indian states.
The government has instituted a policy of "reservations" whereby a certain percentage is reserved for the castes that are considered to be low in the caste hierarchy and for the aborigines or tribes who were traditionally excluded from education. The number of Universities had gone up to 574 universities-(44 Central, 286 State, 111 State Private, 129 Deemed to be Universities, four Institutions established under State Legislation) as on 31.03.2012. UGC has provided the data of faculty strength (on 01/01/2014) of total 39 central Universities in different 29 States with total of 15, 573 sanctioned teaching staff in India. In this paper, an attempt has been made to focus on the main objectives of sanctioned posts; filled-up posts; shortfall positions and the employment status of SC/
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