An economic analysis of crop diversification and dynamics of cropping pattern in Karnataka, India

Abstract The extent and nature of crop diversification and dynamics of cropping pattern in Karnataka state has been analyzed using secondary data collected from different publish sources of Directorate of Economics and Statistics (DES), Bangalore, Karnataka from a period of 1998–99 to 2020–21 (i.e., 23 years). Composite Entropy Index (CEI), double log model and Markov chain analysis were applied to assess the determinants of crop diversification and dynamics of cropping pattern in Karnataka. Results of C.E.I indicates that Kodagu, Dakshina kannada, Yadgir, Udupi and Shivamogga has low crop diversification. Although Karnataka’s crop diversification values show a positive trend but its coefficient value is almost zero. It shows that there is a threat for Karnataka’s crop diversification. The transition probability matrix diagram indicated that although cereals and millet groups occupied a larger share in terms of area under crops, it has a negative net gain in the probability of area retention. Double log model results revealed that the variable like MSP of coarse cereal, percentage of gross irrigated area to net irrigated area, credit inflow in to agricultural sector by the scheduled commercial bank and length of national highways are influencing the crop diversification positively. Therefore, the establishment of fundamental infrastructure, such as reliable irrigation water supply, access to credit, and well-developed transportation networks, is a crucial prerequisite for creating favorable conditions to promote agricultural development and crop diversification. These parameters have been identified as influential factors that shape the nature and extent of crop diversification. By addressing these infrastructure needs, it becomes possible to foster an environment conducive to agricultural growth and facilitate the process of diversification

An aggregate stochastic dynamic programming model of multi-reservoir systems

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