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A Generic Way of Determining Cost of Production of a Crop Using Dynamics Weights: A Case Study in Pakistan
International Journal of Agricultural Economics
Volume 5, Issue 5, September 2020, Pages: 150-155
Received: Jul. 26, 2020; Accepted: Aug. 13, 2020; Published: Aug. 25, 2020
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Authors
Abdul Qayyum, Agriculture Department (Crop Reporting Service), Government of the Punjab, Lahore, Pakistan
Wasif Khurshid, Agriculture Department (Crop Reporting Service), Government of the Punjab, Lahore, Pakistan
Muddasar Jamil Shera, Agriculture Department (Crop Reporting Service), Government of the Punjab, Lahore, Pakistan
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Abstract
To determine cost of production (CoP) of a crop is a persistent distress for the Government of Punjab (Pakistan) in the given conditions of rural and political dynamics. For the purpose, Crop Reporting Service (CRS), Agriculture Department Punjab has been evolving, using and analyzing sample data based on Area Frame Sampling (AFS) technique for conducting surveys to gather information regarding crop acreage, CoP, grain yield / production and other agricultural items. Timely decision on CoP of a crop by the government before the arrival of a crop is, obviously, very important for the announcement of support price for the crop and also for the evaluation of cost and benefit analysis of agriculture sector. Using AFS technique, based on two-stage sampling design, 5500 segments of 150 acre each have been selected covering almost 2600 Union Councils (UCs) of the Punjab for the study. From each randomly selected segment, two farmers were randomly selected. Through a detailed questionnaire, covering almost 75 variables on CoP of a crop, data are collected from the farmers of a specific crop. For this purpose wheat crop (Wheat is one of the core agricultural crops in Pakistan) has been selected as a case study for the comparison of Average (using Arithmetic Mean) CoP and Weighted Average CoP (WACoP) of wheat. In this paper, a detailed data flow and method for the determination of CoP of a crop is discussed. Average (using Arithmetic Mean) CoP technique was available to determine the production cost of any crop using the root level data from the farmers. But while compiling the report of COP on Punjab level, it has to be mentioned that the average cost of each head then ultimately total of all heads’ averages computed to find out the average COP of the specific crop. To overcome this problem, it has been proposed a new method to determine the CoP of any crop by using WACoP and taking proportion of usage of a specific head as a weight of the head. Data are compiled on provincial level and proportion of each cost factor of a crop was calculated as usage of each cost factor varies from crop to crop and area to area. The proportion of each cost factor has been used as its weight for the final evaluation of CoP of the crop. As cost factors vary, so for, all crops during a season, each year these weights of cost factors were freshly calculated to get latest CoP of a crop. Government of Pakistan has declared Rs. 1400/40kg as support price of wheat during Rabi season 2019-20 based on this study.
Keywords
Area Frame Sampling (AFS), Cost of Production (CoP), Weighted Average Cost of Production (WACoP), CRS (Crop Reporting Service)
To cite this article
Abdul Qayyum, Wasif Khurshid, Muddasar Jamil Shera, A Generic Way of Determining Cost of Production of a Crop Using Dynamics Weights: A Case Study in Pakistan, International Journal of Agricultural Economics. Vol. 5, No. 5, 2020, pp. 150-155. doi: 10.11648/j.ijae.20200505.11
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
Johnston, F. B., Mellor, John W. (1961) The role of agriculture in economic development. The American Economic Review. Vol. 51 No. 1, pp. 566-593.
[2]
Agriculture, Pakistan Bureau of Statistics. "Agriculture - Pakistan Bureau of Statistics". Retrieved 1 April 2019.
[3]
FAO. Handbook on Agriculture cost of production statistics, Guidelines for Data Collection, Compilation and Dissemination, 2016.
[4]
Ray, S. C. (1915) Land Revenue Administration in India, University of Calcutta, Calcutta.
[5]
Gordon, R. G. (1917) The Bombay Survey and Settlement Manual, volumes I and II, Government Central Press, Bombay.
[6]
Schimmelpfennig, D. (2018) Crop Production Costs, Profits, And Ecosystem Stewardship With Precision Agriculture. Journal of Agricultural and Applied Economics, Vol 50 No. 1, pp. 81–103.
[7]
Kumar, P. (2019) Economic study of mustard (Brassica oleracea) growers in Meerut district of western Uttar Pradesh. Journal of Pharmacognosy and Phytochemistry, Vol 8 No. 1, pp. 1443-1447.
[8]
Kumar, P., Singh, K., Singh, P. S., (2017) Cost Of Cultivation On Mustard (Brassica Olerasia) In Meerut District Ofwestern Uttar Pradesh, India. Plant Archives Vol. 17 No. 2, pp. 1492-1494.
[9]
Sahu, K. P., Kant, K., Choudhari, P. H., Singh, G. P. (2018) Cost of cultivation in mustered crop in Fatehpur district of Uttar Pradesh. International Journal of Current Microbiology and Applied Sciences, Vol. 7 No. 8, pp. 224-229.
[10]
Sardnal EC, Swensson B, Wretmen J. Model assisted survey sampling, Springer; 2003.
[11]
Qayyum, A., Shera, M. J., (2019) Method of Area Frame Sampling Using Probability Proportional to Size Sampling Technique for Crops’ Surveys: A Case Study in Pakistan. Journal of Experimental Agriculture International, Vol. 41 No. 2, pp. 1-10.
[12]
Cotter, J., Davies, C., Nealon, J., & Roberts, R. (2010) Area frame design for agricultural surveys. Agricultural survey methods, pp. 169-192.
[13]
Davies C, Cotter J, Nealon J, Roberts R. (2010) Area frame design for agricultural surveys. Agricultural Survey Methods, pp. 169-192.
[14]
Iqtidar, H., Ayyaz, K. M., Ahmad, K. E., 2006. Bread wheat varieties as influenced by different nitrogen levels. Journal of Zhejiang University, Vol. 7, pp. 70-78.
[15]
Khan, N. Z., Ahmad, M., Rasheed, A., (2003) Wheat production in Pakistan: Saga of policy disincentives. Pakistan Development Review, Vol. 42 No. 1, pp. 1-27.
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