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Analysis of Disparity in Broiler Meat Production of Karnataka State Using Principal Component Analysis


Affiliations
1 Department of Agricultural Statistics, Applied Mathematics and Computer Sciences, University of Agricultural Sciences, Bengaluru (Karnataka), India
     

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The study aims to examine inter-district disparities in broiler meat production of Karnataka state. Composite indices of broiler meat production have been constructed for each districts based on optimum combination of indicator variables grouped under agriculture and infrastructure sectors. These indices were developed separately for agriculture and infrastructure sectorsat four study points of time i.e., 2003-04, 2007-08, 2011-12 and 2014-15. The technique of principal component analysis (PCA) has been used to construct the composite index. Using the PCA scores all the districts were ranked separately for agriculture and infrastructure sectors for the four study years.The analysis reveals that there was a wide disparity in broiler meat production among the districts of Karnataka state during the study years. Based on the quartiles, districts were classified as high, high medium, low medium and low broiler meat producing districts. The agriculture and infrastructure sectors were found to be highly correlated and have a positive influence on the broiler meat production of the state. Based on the eigen values of PCA for each districts revealed that area under irrigated land, area under maize and area under pulses in agriculture sector, whereas number of veterinary institutions and road length in the infrastructure sector were found to be the main causes for the disparity in broiler production among the districts of Karnataka State.

Keywords

Principal Component Analysis, Disparity, Indicators, Broiler Meatproduction, Quartiles.
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  • Ajagekar, B.A. and Masal, N.S.(2011). Regional disparities in the levels of agricultural development in Kolhapur district of south Maharashtra. Indian Streams Res. J., 2(1): 139-144.
  • Amarender Reddy, A. (2010). Disparities in agricultural productivity growth in Andhra Pradesh. Indian Econ. J.,58 : 135-152.
  • Banerjee, Smriti (1996). Determination of agricultural development: An inter district analysis. Indian J. Rgionn. Sci., 28 (1) : 27-32.
  • Bhattacharya, B.B. and Sakthivel, S.(2004). Regional growth and disparity in India-comparison of pre and post- reform decade. Econ. Pol. Weekly., 39(10): 45-49.
  • Hurakadli, S.M. and Patil, S.R. (1999). Regional imbalances in the level of food crop productivity in Karnataka. Indian J. Region. Sci., 31(1): 123-130.
  • Narain, Prem, Rai, S.C. and Sarup, Shanti (1994). Inter - district disparities in socio-economic development in Kerala. J. Indian Soc. Agric. Stat., 46(3): 362-377.
  • Narain, Prem, Rai, S.C. and Bhatia, V. K. (1997). Regional pattern of socio-economic development in Karnataka. J. Indian Soc. Agric. Stat., 50 (3) : 381-391.
  • Narain, Prem, Rai, S.C. and Bhatia, V. K. (2000). Regional disparities in socio-economic development in Tamil Nadu. J. Indian Soc. Agric. Stat., 53(3): 35-46.
  • Narain, Prem, Rai, S.C. and Bhatia, V.K. (2001). Regional dimensions of disparities in crop productivity in Uttar Pradesh. J. Indian Soc. Agric. Stat.,54(1):62-79.
  • Pradhan, Prasanta Kumar and Kumar, Subas, C. (2015). Disparity in basic infrastructure and services development: A district level study in Odisha. Internat. J. Mgmt. & Social Sci. Res.,4 (7) : 34-39.
  • Rai, S.C. and Bhatia, V.K. (2004). Dimensions of regional disparities in socio-economic development of Assam. J. Indian Soc. Agric. Stat., 57: 178-190.
  • Raman, Rakesh and Kumari, Reena (2012). Regional disparity in agricultural development: A district-level analysis for Uttar Pradesh. J. Regional Develop. &Plann.,1(2):71-90.
  • Sarkar, Satyen (2011). Variation of agriculture sector development: With special reference to West Bengal state. J. Econ., 2(1): 9-22.

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  • Analysis of Disparity in Broiler Meat Production of Karnataka State Using Principal Component Analysis

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Authors

Amaresh
Department of Agricultural Statistics, Applied Mathematics and Computer Sciences, University of Agricultural Sciences, Bengaluru (Karnataka), India
R. Manjula
Department of Agricultural Statistics, Applied Mathematics and Computer Sciences, University of Agricultural Sciences, Bengaluru (Karnataka), India
V. Manjunath
Department of Agricultural Statistics, Applied Mathematics and Computer Sciences, University of Agricultural Sciences, Bengaluru (Karnataka), India

Abstract


The study aims to examine inter-district disparities in broiler meat production of Karnataka state. Composite indices of broiler meat production have been constructed for each districts based on optimum combination of indicator variables grouped under agriculture and infrastructure sectors. These indices were developed separately for agriculture and infrastructure sectorsat four study points of time i.e., 2003-04, 2007-08, 2011-12 and 2014-15. The technique of principal component analysis (PCA) has been used to construct the composite index. Using the PCA scores all the districts were ranked separately for agriculture and infrastructure sectors for the four study years.The analysis reveals that there was a wide disparity in broiler meat production among the districts of Karnataka state during the study years. Based on the quartiles, districts were classified as high, high medium, low medium and low broiler meat producing districts. The agriculture and infrastructure sectors were found to be highly correlated and have a positive influence on the broiler meat production of the state. Based on the eigen values of PCA for each districts revealed that area under irrigated land, area under maize and area under pulses in agriculture sector, whereas number of veterinary institutions and road length in the infrastructure sector were found to be the main causes for the disparity in broiler production among the districts of Karnataka State.

Keywords


Principal Component Analysis, Disparity, Indicators, Broiler Meatproduction, Quartiles.

References