Determination of Farm level Technical Efficiency and Yield Gap of Paddy Production in Andhra Pradesh, India: An Empirical Approach | Chapter 6 | Emerging Issues in Agricultural Sciences Vol. 9

 This stage evaluates the farm level technical adeptness and yield gap of paddy production in Andhra Pradesh, India. Farm adeptness is a broad area, that can be examined by equating the economic effectiveness of various types of farm groups (small, medium and big), or farming arrangements (irrigated and non-irrigated) or ecological zones. The study secondhand the latest available dossier for the year 2016-17 accompanying an objective to calculate the technical effectiveness and yield gap. For manipulative technical adeptness Data Envelopment Analysis technique was employed.The subordinate data set held 541 paddy producing farms/units across Andhra Pradesh state under five agro important zones viz North marshy, Godavari, Krishna, Southern and Scarce rainfall zones was studied. The results granted that the overall technical adeptness of the entire sample is 86.8 per insignificant value inferring that about 13 per cent of the potential paddy yield is missing because of mechanics inefficiency in Andhra Pradesh. The level of technical effectiveness is directly had connection with the agro climatic zones of Andhra Pradesh. Among different agro important zones technical adeptness is found maximal in Godavari zone with 0.883 and erect lowest in scant rainfall zone (0.808). Technical adeptness varies in accordance with farm size. It shows the borderline farmers are slightly more mechanics efficient than wheeled vehicle for hauling-medium and medium farmers. The technical adeptness varies in accordance with farm size .Farm-size reasonable technical effectiveness of paddy in Andhra Pradesh.  The marginal farms are erect to be slightly more technically adept than semi-medium and medium farms. The yield break was found to be 981.10 kg/ha in Godavari district and a minimum yield gap of 335 kg/ha in North marshy zone with an average yield break of 663 kg/ha for Andhra Pradesh indicating household paddy production maybe significantly increased only by reconstructing farmers practices accompanying the current amount of resource they are using. In order to increase mechanics efficiency, volume building on the use of appropriate scientific information to capture the capital potential resource use adeptness with less cost, creative habits to cut waste, and dissemination of all appropriate farm knowledge material should be heartened.

Author(s) Details:

Paul K. S. R.,
Cost of Cultivation Scheme, Agricultural College, Bapatla, Professor Jayashankar Telangana State Agricultural University, Andhra Pradesh, 522101, India.

Sunandini G. P.,
Department of Agricultural Economics, College of Agriculture, Professor Jayashankar Telangana State Agricultural University, Hyderabad, Telangana-500030, India.

ShakuntalaIrugu,
Cost of Cultivation Scheme, Regional Agricultural Research Station, Palem, Professor Jayashankar Telangana State Agricultural University, Nagarkurnool, Telangana-509215, India.

Suhasini K.,
Department of Agricultural Economics, Professor Jayashankar Telangana State Agricultural University, Hyderabad, Telangana-500030, India.

Please see the link here: https://stm.bookpi.org/EIAS-V9/article/view/12614

An Empirical Assesment of the Determinant of Beniseed (Sesamum Indicum L.) Production among Beniseed Farmers in Mubi Region of Adamawa State, Nigeria | Chapter 1 | Current Perspectives in Agriculture and Food Science Vol. 4

 This stage aims to examine the cause of Beniseed (Sesamum Indicum L.) Production among Beniseed Farmers in Mubi Region of Adamawa State, Nigeria, and a multi stage examining technique was used to select 100 beniseed ranchers in the study field. Beniseed is an important ship crop in Nigeria, and Nigeria has a substantial act in the global beniseed business. To calculate the adeptness of the farmers, the study working a stochastic boundary production model; the practical results granted that farm size, source, and herbicide were beneficial and statistically significant at the 1% level, while classification labor was also definite and significant at the 5% level. According to the determined gamma (γ) parameter of 0.799 in the study field, the mechanics shortcomings in the study were being the reason for 79% of the overall variation in beniseed productivity. The region's mean mechanics efficiency (κ) was 0.81, while the study's Return to Scale (RTS) was 0.94. According to the study, skilled is a positive and solid correlation middle from two points farm size, the character of the beginning used, the custom of herbicide, offspring labor, and the output of beniseed.

Author(s) Details:

O. Gwandi,
Department of Agricultural Technology, The Federal Polytechnic Mubi, P.M.B. 35, Mubi, Adamawa State, Nigeria.

Y. Z. Dia,
Department of Agricultural Extension, Adamawa State College of Agriculture, P.M.B. 2088, Ganye, Nigeria.

Please see the link here: https://stm.bookpi.org/CPAFS-V4/article/view/10785

Estimation of Production Efficiency for Wheat Producing States in India Using Stochastic Frontier Approach | Chapter 7 | Current Strategies in Economics and Management Vol. 4

The paper examines the production efficiency of wheat producing states of India using state level data for the periods 1990-91 to 2004-05 and 2005-06 to 2013-14 using stochastic production frontier model proposed by Battese and Coelli (1995). The results show that inefficiency is present in agricultural production of the states where mean efficiency estimates ranges from 0.8776 to 0.6634 for 1990-91 to 2004-05 and from 0.9611 to 0.6167 for 2005-06 to 2013-14. For both sub-periods, institutional credit, net irrigated area and consumption of fertilizers are seen to have a significant positive impact on agricultural production in these states. Total state road length per unit of area is seen to be statistically significant in reducing inefficiency for the period 1990-91 to 2004-05. For 2005-06 to 2013-14, the  variables  found  to  be  statistically  significant  for  the  variations  in  technical efficiency are rate of rural literacy, rate of technical education, share of agricultural NSDP to state NSDP and total state road length per unit of area. 

Author (s) Details

Dr. Pia Ghoshal
Department of Economics, St.  Xavier’s College (Autonomous), Kolkata, West Bengal, India.

Dr. Bhaskar Goswami
Department of Economics, University of Burdwan, Bardhaman, West Bengal, India.

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