Author(s): Pooja R Pagad and Megeri MN

Abstract: State Domestic Product (SDP) is an important measure of economy of the State. With help of PCSDP different policy making is done with respect different sectors of economic development. In the present study an attempt is made study the growth pattens, estimation and forecasting of PCSDP using two growth curves: Modified exponential curves and Gompertz curve. Estimation of parameters of the two curves by method of partial sums. The data collected for the study is from Economic Survey of India and also, five regions of India divided according Mitra, Mukaherji, and Bose (1980). Analysis of the study shows average per capital PCSDP of Western region is above the national average whereas others regions are below it, growth of Per Capita Gross Domestic Products (PCGDP) of India is highly correlated with all the regions except Western region since its growth in this is inconsistent. Gompertz Curve is best fitted for Per Capita State Domestic Product (PCSDP) as compare to Modified exponential curve for all the regions of India but Modified exponential curve is best fitted for PCGDP of India. Forecasting results shows Per capita of PCGDP of India increased nearly double for ten years from 2020 to 2030 by Modified exponential curve. The PCSDP of Northern, Eastern regions increased by three times and that of Southern, Western and Central increased by four time from 2020 to 2030.

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