ISBN: - 978-93-88936-09-5 1.20 (G) Correlation co-efficient Pearson’s product moment correlation co-efficient is calculated to find the relationship between production and consumption of NR, import and export etc., ∑XY = ∑x/ ∑X2X ∑Y2 Where, X = x x− Y = y y− x = mean of x variable y =mean of y variable 1.21TESTING HYPOTHESIS • The production, tapping area and the price of natural rubber in Kanyakumari district will be on the rise from 2001-2002 to 2014-15 showing a positive correlation. • There is positive relationship existing between rainfall and productivity. The tapping affected by rain is more due to south west monsoon season in Kanyakumari district. • The domestic price of NR has been influenced by its production, consumption, import, international price, and imports and exports. • There is no positive correlation among the Rubber distributors in the three taluks under study as regards the problems they face in carrying out their operations. • There is a relationship between education and sources of NR growers in Kanyakumari district. • There is no significance between Sex wise classification of tappers and Government Support to the NR tappers in Kanyakumari district 1.22LIMITATIONS OF THE STUDY The study takes into account only the production and marketing of natural rubber in Kanyakumari district. Therefore, the present study has certain limitations. They are, (i) The Non-availability of proper secondary data and records that were a great obstacle in this study. (ii) The result of the primary data duly depended upon the trustworthiness of the respondents. (iii) The scope of the study is limited as it pertains to only Kanyakumari district. (iv) The data are collected only from 150 rubber tappers, 300 producers (growers) and 150 marketers. (v) As all the growers were unable to express the details of market surplus in common unit of measurement i.e., tonnes, they were to be converted. In the process, the exact figures might not have been reported due to approximations 32
39 Publizr Home