THE MADURAI DIRAVIYAM THAYUMANAVAR HINDU COLLEGE
HINDCO RESEARCH JOURNAL
ARTICLE NAME:
AN ECONOMIC ANALYSIS OF HEALTH STATUS OF COASTAL VILLAGES OF THOOTHUKUDI DISTRICT
AUTHOR NAME
Dr.D.Amutha
ISSUE:
VOL.1, NO.1
YEAR:
2018
PAGE NO:
82-90
ABSTRACT:
This study mainly focuses the socio
economic background of the respondents in
coastal village and their health problems. In
order to perform the analysis on the socio –
economic and health status of the people of
the coastal area of Pazhayakayal and
Punnakayal in Thoothukudi district were
selected. The data was collected during the
months between April to June, 2016. The
data collected from the primary source were
analysed with the help of various statistical
measures such as simple percentage
analysis, averages, chi square test, t test,
multiple regression and probability analysis
were used. Secondary data have been
collected from books, journals, newspapers,
internet and periodicals. The study shows
that 56% of the respondents opined that
sufficient drugs and medicines are available
in the hospitals and 25% of them opined that
there is insufficient availability of
medicines. The remaining 19% of them
have no opinion. It reveals that out of 140
respondents, majority of 79.54 per cent of
them utilised Government Hospital facility
and 20.46 per cent of them don’t utilise
Government Hospital facility. It is inferred
that majority of them are affected by minor
diseases (56%) and the remains by major
diseases (44%). In order to find out the
significant difference in satisfaction of
income among the sample respondents
based on marital status, the‘t’ value was
calculated. Therefore, the null hypothesis is
accepted and concluded that there is no
significant difference in satisfaction of
income among the respondents between
marital statuses. It is revealed that three of
the variables were entered into the equation
and the order of inclusion was as follows:
job satisfaction, quality of health and
income. Allowing one of the independent
variables to operate, while controlling the
other variables in the equation, revealed that
it was job satisfaction which had the highest
contribution to the quality of work followed
by the quality of health and income
respectively.
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