\documentclass[11pt,twoside]{article}\makeatletter \IfFileExists{xcolor.sty}% {\RequirePackage{xcolor}}% {\RequirePackage{color}} \usepackage{colortbl} \usepackage{wrapfig} \usepackage{ifxetex} \ifxetex \usepackage{fontspec} \usepackage{xunicode} \catcode`⃥=\active \def⃥{\textbackslash} \catcode`❴=\active \def❴{\{} \catcode`❵=\active \def❵{\}} \def\textJapanese{\fontspec{Noto Sans CJK JP}} \def\textChinese{\fontspec{Noto Sans CJK SC}} \def\textKorean{\fontspec{Noto Sans CJK KR}} \setmonofont{DejaVu Sans Mono} \else \IfFileExists{utf8x.def}% {\usepackage[utf8x]{inputenc} \PrerenderUnicode{–} }% {\usepackage[utf8]{inputenc}} \usepackage[english]{babel} \usepackage[T1]{fontenc} \usepackage{float} \usepackage[]{ucs} \uc@dclc{8421}{default}{\textbackslash } \uc@dclc{10100}{default}{\{} \uc@dclc{10101}{default}{\}} \uc@dclc{8491}{default}{\AA{}} \uc@dclc{8239}{default}{\,} \uc@dclc{20154}{default}{ } \uc@dclc{10148}{default}{>} \def\textschwa{\rotatebox{-90}{e}} \def\textJapanese{} \def\textChinese{} \IfFileExists{tipa.sty}{\usepackage{tipa}}{} \fi \def\exampleFont{\ttfamily\small} \DeclareTextSymbol{\textpi}{OML}{25} \usepackage{relsize} \RequirePackage{array} \def\@testpach{\@chclass \ifnum \@lastchclass=6 \@ne \@chnum \@ne \else \ifnum \@lastchclass=7 5 \else \ifnum \@lastchclass=8 \tw@ \else \ifnum \@lastchclass=9 \thr@@ \else \z@ \ifnum \@lastchclass = 10 \else \edef\@nextchar{\expandafter\string\@nextchar}% \@chnum \if \@nextchar c\z@ \else \if \@nextchar l\@ne \else \if \@nextchar r\tw@ \else \z@ \@chclass \if\@nextchar |\@ne \else \if \@nextchar !6 \else \if \@nextchar @7 \else \if \@nextchar (8 \else \if \@nextchar )9 \else 10 \@chnum \if \@nextchar m\thr@@\else \if \@nextchar p4 \else \if \@nextchar b5 \else \z@ \@chclass \z@ \@preamerr \z@ \fi \fi \fi \fi \fi \fi \fi \fi \fi \fi \fi \fi \fi \fi \fi \fi} \gdef\arraybackslash{\let\\=\@arraycr} \def\@textsubscript#1{{\m@th\ensuremath{_{\mbox{\fontsize\sf@size\z@#1}}}}} \def\Panel#1#2#3#4{\multicolumn{#3}{){\columncolor{#2}}#4}{#1}} \def\abbr{} \def\corr{} \def\expan{} \def\gap{} \def\orig{} \def\reg{} \def\ref{} \def\sic{} \def\persName{}\def\name{} \def\placeName{} \def\orgName{} \def\textcal#1{{\fontspec{Lucida Calligraphy}#1}} \def\textgothic#1{{\fontspec{Lucida Blackletter}#1}} \def\textlarge#1{{\large #1}} \def\textoverbar#1{\ensuremath{\overline{#1}}} \def\textquoted#1{‘#1’} \def\textsmall#1{{\small #1}} \def\textsubscript#1{\@textsubscript{\selectfont#1}} \def\textxi{\ensuremath{\xi}} \def\titlem{\itshape} \newenvironment{biblfree}{}{\ifvmode\par\fi } \newenvironment{bibl}{}{} \newenvironment{byline}{\vskip6pt\itshape\fontsize{16pt}{18pt}\selectfont}{\par } \newenvironment{citbibl}{}{\ifvmode\par\fi } \newenvironment{docAuthor}{\ifvmode\vskip4pt\fontsize{16pt}{18pt}\selectfont\fi\itshape}{\ifvmode\par\fi } \newenvironment{docDate}{}{\ifvmode\par\fi } \newenvironment{docImprint}{\vskip 6pt}{\ifvmode\par\fi } \newenvironment{docTitle}{\vskip6pt\bfseries\fontsize{22pt}{25pt}\selectfont}{\par } \newenvironment{msHead}{\vskip 6pt}{\par} \newenvironment{msItem}{\vskip 6pt}{\par} \newenvironment{rubric}{}{} \newenvironment{titlePart}{}{\par } \newcolumntype{L}[1]{){\raggedright\arraybackslash}p{#1}} \newcolumntype{C}[1]{){\centering\arraybackslash}p{#1}} \newcolumntype{R}[1]{){\raggedleft\arraybackslash}p{#1}} \newcolumntype{P}[1]{){\arraybackslash}p{#1}} \newcolumntype{B}[1]{){\arraybackslash}b{#1}} \newcolumntype{M}[1]{){\arraybackslash}m{#1}} \definecolor{label}{gray}{0.75} \def\unusedattribute#1{\sout{\textcolor{label}{#1}}} \DeclareRobustCommand*{\xref}{\hyper@normalise\xref@} \def\xref@#1#2{\hyper@linkurl{#2}{#1}} \begingroup \catcode`\_=\active \gdef_#1{\ensuremath{\sb{\mathrm{#1}}}} \endgroup \mathcode`\_=\string"8000 \catcode`\_=12\relax \usepackage[a4paper,twoside,lmargin=1in,rmargin=1in,tmargin=1in,bmargin=1in,marginparwidth=0.75in]{geometry} \usepackage{framed} \definecolor{shadecolor}{gray}{0.95} \usepackage{longtable} \usepackage[normalem]{ulem} \usepackage{fancyvrb} \usepackage{fancyhdr} \usepackage{graphicx} \usepackage{marginnote} \renewcommand{\@cite}[1]{#1} \renewcommand*{\marginfont}{\itshape\footnotesize} \def\Gin@extensions{.pdf,.png,.jpg,.mps,.tif} \pagestyle{fancy} \usepackage[pdftitle={Economic Analysis of Factors Responsible for Non Adoption of Agriculture Insurance Scheme in a Some District of Madhya Pradesh}, pdfauthor={}]{hyperref} \hyperbaseurl{} \paperwidth210mm \paperheight297mm \def\@pnumwidth{1.55em} \def\@tocrmarg {2.55em} \def\@dotsep{4.5} \setcounter{tocdepth}{3} \clubpenalty=8000 \emergencystretch 3em \hbadness=4000 \hyphenpenalty=400 \pretolerance=750 \tolerance=2000 \vbadness=4000 \widowpenalty=10000 \renewcommand\section{\@startsection {section}{1}{\z@}% {-1.75ex \@plus -0.5ex \@minus -.2ex}% {0.5ex \@plus .2ex}% {\reset@font\Large\bfseries}} \renewcommand\subsection{\@startsection{subsection}{2}{\z@}% {-1.75ex\@plus -0.5ex \@minus- .2ex}% {0.5ex \@plus .2ex}% {\reset@font\Large}} \renewcommand\subsubsection{\@startsection{subsubsection}{3}{\z@}% {-1.5ex\@plus -0.35ex \@minus -.2ex}% {0.5ex \@plus .2ex}% {\reset@font\large}} \renewcommand\paragraph{\@startsection{paragraph}{4}{\z@}% {-1ex \@plus-0.35ex \@minus -0.2ex}% {0.5ex \@plus .2ex}% {\reset@font\normalsize}} \renewcommand\subparagraph{\@startsection{subparagraph}{5}{\parindent}% {1.5ex \@plus1ex \@minus .2ex}% {-1em}% {\reset@font\normalsize\bfseries}} \def\l@section#1#2{\addpenalty{\@secpenalty} \addvspace{1.0em plus 1pt} \@tempdima 1.5em \begingroup \parindent \z@ \rightskip \@pnumwidth \parfillskip -\@pnumwidth \bfseries \leavevmode #1\hfil \hbox to\@pnumwidth{\hss #2}\par \endgroup} \def\l@subsection{\@dottedtocline{2}{1.5em}{2.3em}} \def\l@subsubsection{\@dottedtocline{3}{3.8em}{3.2em}} \def\l@paragraph{\@dottedtocline{4}{7.0em}{4.1em}} \def\l@subparagraph{\@dottedtocline{5}{10em}{5em}} \@ifundefined{c@section}{\newcounter{section}}{} \@ifundefined{c@chapter}{\newcounter{chapter}}{} \newif\if@mainmatter \@mainmattertrue \def\chaptername{Chapter} \def\frontmatter{% \pagenumbering{roman} \def\thechapter{\@roman\c@chapter} \def\theHchapter{\roman{chapter}} \def\thesection{\@roman\c@section} \def\theHsection{\roman{section}} \def\@chapapp{}% } \def\mainmatter{% \cleardoublepage \def\thechapter{\@arabic\c@chapter} \setcounter{chapter}{0} \setcounter{section}{0} \pagenumbering{arabic} \setcounter{secnumdepth}{6} \def\@chapapp{\chaptername}% \def\theHchapter{\arabic{chapter}} \def\thesection{\@arabic\c@section} \def\theHsection{\arabic{section}} } \def\backmatter{% \cleardoublepage \setcounter{chapter}{0} \setcounter{section}{0} \setcounter{secnumdepth}{2} \def\@chapapp{\appendixname}% \def\thechapter{\@Alph\c@chapter} \def\theHchapter{\Alph{chapter}} \appendix } \newenvironment{bibitemlist}[1]{% \list{\@biblabel{\@arabic\c@enumiv}}% {\settowidth\labelwidth{\@biblabel{#1}}% \leftmargin\labelwidth \advance\leftmargin\labelsep \@openbib@code \usecounter{enumiv}% \let\p@enumiv\@empty \renewcommand\theenumiv{\@arabic\c@enumiv}% }% \sloppy \clubpenalty4000 \@clubpenalty \clubpenalty \widowpenalty4000% \sfcode`\.\@m}% {\def\@noitemerr {\@latex@warning{Empty `bibitemlist' environment}}% \endlist} \def\tableofcontents{\section*{\contentsname}\@starttoc{toc}} \parskip0pt \parindent1em \def\Panel#1#2#3#4{\multicolumn{#3}{){\columncolor{#2}}#4}{#1}} \newenvironment{reflist}{% \begin{raggedright}\begin{list}{} {% \setlength{\topsep}{0pt}% \setlength{\rightmargin}{0.25in}% \setlength{\itemsep}{0pt}% \setlength{\itemindent}{0pt}% \setlength{\parskip}{0pt}% \setlength{\parsep}{2pt}% \def\makelabel##1{\itshape ##1}}% } {\end{list}\end{raggedright}} \newenvironment{sansreflist}{% \begin{raggedright}\begin{list}{} {% \setlength{\topsep}{0pt}% \setlength{\rightmargin}{0.25in}% \setlength{\itemindent}{0pt}% \setlength{\parskip}{0pt}% \setlength{\itemsep}{0pt}% \setlength{\parsep}{2pt}% \def\makelabel##1{\upshape ##1}}% } {\end{list}\end{raggedright}} \newenvironment{specHead}[2]% {\vspace{20pt}\hrule\vspace{10pt}% \phantomsection\label{#1}\markright{#2}% \pdfbookmark[2]{#2}{#1}% \hspace{-0.75in}{\bfseries\fontsize{16pt}{18pt}\selectfont#2}% }{} \def\TheFullDate{2020-12-15 (revised: 15 December 2020)} \def\TheID{\makeatother } \def\TheDate{2020-12-15} \title{Economic Analysis of Factors Responsible for Non Adoption of Agriculture Insurance Scheme in a Some District of Madhya Pradesh} \author{}\makeatletter \makeatletter \newcommand*{\cleartoleftpage}{% \clearpage \if@twoside \ifodd\c@page \hbox{}\newpage \if@twocolumn \hbox{}\newpage \fi \fi \fi } \makeatother \makeatletter \thispagestyle{empty} \markright{\@title}\markboth{\@title}{\@author} \renewcommand\small{\@setfontsize\small{9pt}{11pt}\abovedisplayskip 8.5\p@ plus3\p@ minus4\p@ \belowdisplayskip \abovedisplayskip \abovedisplayshortskip \z@ plus2\p@ \belowdisplayshortskip 4\p@ plus2\p@ minus2\p@ \def\@listi{\leftmargin\leftmargini \topsep 2\p@ plus1\p@ minus1\p@ \parsep 2\p@ plus\p@ minus\p@ \itemsep 1pt} } \makeatother \fvset{frame=single,numberblanklines=false,xleftmargin=5mm,xrightmargin=5mm} \fancyhf{} \setlength{\headheight}{14pt} \fancyhead[LE]{\bfseries\leftmark} \fancyhead[RO]{\bfseries\rightmark} \fancyfoot[RO]{} \fancyfoot[CO]{\thepage} \fancyfoot[LO]{\TheID} \fancyfoot[LE]{} \fancyfoot[CE]{\thepage} \fancyfoot[RE]{\TheID} \hypersetup{citebordercolor=0.75 0.75 0.75,linkbordercolor=0.75 0.75 0.75,urlbordercolor=0.75 0.75 0.75,bookmarksnumbered=true} \fancypagestyle{plain}{\fancyhead{}\renewcommand{\headrulewidth}{0pt}} \date{} \usepackage{authblk} \providecommand{\keywords}[1] { \footnotesize \textbf{\textit{Index terms---}} #1 } \usepackage{graphicx,xcolor} \definecolor{GJBlue}{HTML}{273B81} \definecolor{GJLightBlue}{HTML}{0A9DD9} \definecolor{GJMediumGrey}{HTML}{6D6E70} \definecolor{GJLightGrey}{HTML}{929497} \renewenvironment{abstract}{% \setlength{\parindent}{0pt}\raggedright \textcolor{GJMediumGrey}{\rule{\textwidth}{2pt}} \vskip16pt \textcolor{GJBlue}{\large\bfseries\abstractname\space} }{% \vskip8pt \textcolor{GJMediumGrey}{\rule{\textwidth}{2pt}} \vskip16pt } \usepackage[absolute,overlay]{textpos} \makeatother \usepackage{lineno} \linenumbers \begin{document} \author[1]{Richa Khanna} \renewcommand\Authands{ and } \date{\small \em Received: 6 November 2020 Accepted: 2 December 2020 Published: 15 December 2020} \maketitle \begin{abstract} Agricultural vagaries are many and to be deal with them Agriculture insurance was looked upon as the solution to this problem, National agriculture insurance is a part of the solution and it covers factors responsible for farmers to take insurance which are economic and environmental factors; risk factor, Sum insured, farmers benefited, claims received, premium paid, subsidy, Area insured, weather situation and natural calamity .Certain social factors are also looked upon like ; not aware , not interested , unable to pay premium, complex procedure, delay in claim payment , banks available at a distance, no need of agriculture insurance, not satisfied with terms and conditions, not aware about facility. \end{abstract} \keywords{agriculture insurance, non-adoption, social factors, economic factors, environmental factor, NAIS, season- wise} \begin{textblock*}{18cm}(1cm,1cm) % {block width} (coords) \textcolor{GJBlue}{\LARGE Global Journals \LaTeX\ JournalKaleidoscope\texttrademark} \end{textblock*} \begin{textblock*}{18cm}(1.4cm,1.5cm) % {block width} (coords) \textcolor{GJBlue}{\footnotesize \\ Artificial Intelligence formulated this projection for compatibility purposes from the original article published at Global Journals. However, this technology is currently in beta. \emph{Therefore, kindly ignore odd layouts, missed formulae, text, tables, or figures.}} \end{textblock*} \let\tabcellsep& \section[{Introduction}]{Introduction}\par griculture plays an important role in the economic life of India. From time immemorial, agriculture has occupied a pivotal position in India's economic development and it has been regarded as a major economic powerhouse that has a bearing on the whole economy. It has been realized that the success of economic planning in India largely depends on the growth of agricultural sector.\par This was achieved through a favourable interplay of infrastructure, technology, extension, and policy support backed by strong political will. The main source of long-run growth was technological augmentation of yields per unit of cropped area. The occupational structure in India comprise of primary or agriculture sector, secondary or industrial sector and tertiary or service sector, interlinked with each other. Agriculture is the base of development for other sectors as it provide raw materials to all other sectors therefore its growth is very essential. Therefore it is neccessary that it should have minimum negative effect and steps should be taken to reduce the risk arising in this sector.\par The enterprise of agriculture is subject to lot many uncertainties. Still, more people in India earn their livelihood from this sector, than from all other economic sectors put together. Agricultural associated with several risks which include adverse changes in both input and output prices, Agricultural risk can be categorized as production risk, price or market, financial or credit, and institutional risks, on the policies as well as on the resources of the government. Therefore, though these measures guarantee some security in a situation of uncertainity, it in fact makes the farmers to wait in anticipation for some relief when there is a loss. Farmers on the other hand have sought to reduce those risks by utilizing modern technology, diversifying the agricultural operations, through intercropping or through the flexible use of fertilizers, pesticides, etc.\par These risk leads to another risk of permanent income due to fluctuations in farm income as result to variability in crop yield and from commodity price fluctuation. Agricultural production is unstable because of its dependence on weather and inherent biological uncertainties in managing crops. In India, more than half of the farming is practised as rain-fed agriculture and is at the mercy of the weather. Instability in the agricultural sector cannot be completely eliminated, but its adverse effects can be minimized through various measures. Different strategies have been evolved by the government to combat these risks and uncertainties. Some of them include providing tax remissions, waiving off loans and interest on loans, drought or flood relief measures, etc.\par But again, one major impediment here is that by and large financial facilities are utterly inadequate amongst the Indian farmers. Thus, because of these drawbacks, the policy makers of the country have sought to insurance of crops as a feasible measure to combat against the risks and hazards and provide protection to the farmers.\par This will encourage them to carry on with their productive efforts, which not only improves the well being of the farmers but also ultimately helps in stabilizing the agricultural output \hyperref[b8]{(Mallikrjun S. Hasanbadi, 2005)}.\par Indian agriculture is overwhelmingly a small farmers (operating 2 or less than 2 hectares) enterprise. The small and marginal farmers account for three fourth of the total holdings. The impact of droughts and crop failure may be disastrous for these resource poor small and marginal farmers.\par The crop failure due to natural calamities like drought, floods or attack by pests and diseases may lead to great hardship. Farmers sell productive assets to meet their regular and contingent consumption needs and this impinge upon the future production (T.S. Walker and N.S. . The cases of committing suicides by farmers in the event of crop failure or crash in market prices are not uncommon in recent years.\par In order to cope with various risks, farmers and rural societies have developed number of risk management strategies. These can be grouped as riskreducing and risk-coping strategies .Risk reducing strategies are Ex-Ante measures adopted i.e, to find solutions within farming like crop diversification, mixed farming/inter-cropping etc.\par Risk coping strategy involves Ex-post measures such as sale of assets, stored stock, loan from relatives and formal institution. Agriculture insurance is different from other general insurance as the natural disaster severly damage crops to large area and thereby the law of large number breaks down which helps in calculating premium and indeminity. The major role played by insurance programmes is the indemnification of riskaverse individuals who might be adversely affected by natural probabilistic phenomenon. Agricultural risk is associated with negative outcomes that stem from imperfectly predictable biological, climatic, and price variables. They also include adverse changes in both input and output prices. Production, price or market, financial or credit, and in situational risks are the different categories under which agricultural risks can be classified. Taking steps to overcome these risks associated with agriculture will be the major step in the agriculture. \hyperref[b18]{(Hazell, Pomareda and Valdes, 1986}) indicated that risk and uncertainty pose a serious impediment to agriculture development. Risk effect both crop area and yield, with growing commercialization and climate changes the degree of risk due to eventualities is increasing , fluctuation in price causes variability in farm income in such a case Minimum support price (MSP) is a means of overcoming price risk.\par Another type of risk is production risk and crop insurance is believed to overcome this problem. One method of setting risk to farmers is through crop insurance. He also suggested that if the crop insurance programme is to be useful in agricultural development, it must be carefully implemented to maximize their efficiency for both farmers and governments. Indian agriculture is dependent on monsoons to large extent and the irregulatrity in its occurance raises the risk attribute of the farmer. In this scenario of high risk and uncertainty of rain fed agriculture, allocating risk is an important aspect of decision making to farmers. No economic activity can be disassociated with risk.\par But risk in agricultural activity is different from other economic activity as the farmer cannot predict the quantative outcome as it on external factors (weather, pest attack disease etc). Though varying crop yields is the main risk faced by farmers and the poor economic condition of farmers due to which there capacity to face the disastrous consequence of crop failure is very less.\par National agriculture insurance scheme (Nais) (Rashtriya Krishi Bima Yojana-Rkby) (Agriculture insurance corporation)\par Meaning and working structure of NAIS: A Central Sector Scheme namely, National Agricultural Insurance Scheme(NAIS) is being implemented in the country since Rabi 1999-2000, as a part of risk management in agriculture with the intention of providing financial support to the farmers in the event of failure of crops as a result of natural calamities, pests and diseases. The scheme is available to all the farmers -loanee and nonloanee -irrespective of their size of holding. Loanee farmers are covered on compulsory basis in a notified area for notified crops whereas for non-loanee farmers scheme is voluntary. \section[{Research Methodology Adopted}]{Research Methodology Adopted}\par Sample area: Jabalpur Division which under which 8 districts were taken and data has been collected on the basis of developed and underdeveloped cities.\par Sample size: 500 farmers were taken according to different land sizes and according to different season.\par Sampling technique: questionnaire method was taken and convinent sampling method was adopted. \section[{Reasons of Non-adoption of Agriculture insurance under NAIS -season wise-}]{Reasons of Non-adoption of Agriculture insurance under NAIS -season wise-} \section[{Statistical interpretation:}]{Statistical interpretation:}\par Null Hypothesis: H0: ?=0, among different land sizes changes do not occur due to these reasons.\par Alternative hypotheis: H0: ??0, among different land sizes changes do occur due to these reasons. \section[{It is 5x3 table, Chi square =12.695 at degree of freedom: (5-1)(3-1) = 8}]{It is 5x3 table, Chi square =12.695 at degree of freedom: (5-1)(3-1) = 8}\par The above is the calculated value and the tabulated value of Chi square distribution at 10\%, 5\% significance is 13.362 and 15.507 respectively, which is more than the calculated hence we accept the null hypothesis i.e, ?=0 , changes among the different land holdings for not taking insurance is not due to these above factors, this can be interpretated in way that farmers in Kharif season take insurance and these above factors do not interrupt their decision for not taking insurance, rather if farmers are not taking insurance in this season then it could be due other weather related issues. Statistically these variables has been insignificant. values in brackets shows percentages. Source : According to primary data collection * In a 6x3 table calculated chi square: 23.763 at degree of freedom : (6-1)(3-1)= 10.\par The above is the calculated value and the tabulated value of Chi square distribution at 10\%, 5\% significance is 15.987 and 18.307 respectively, which is less than the calculated hence we reject the null hypothesis i.e, ?=0, and accept the alternative hypothesis i.e, changes among the different land holdings for not taking insurance is due to these above factors, this can be interpretated in way that farmers in Rabi season do not take insurance and these above factors interrupt their decision for not taking insurance. On the basis of primary data collection Among the two seasons Kharif has shown better results as compared to Rabi season. In kharif season 1 farmer is insured against 2 farmers non insured and in Rabi season 1 farmer is insured against 6 farmers non insured. Risk factor is very low in Rabi season as per farmers perception therefore they take less crop insurance and due to risk factor being high in Kharif season farmers take more crop insurance. But there is a need to change farmers perception as due to global warming weather in all seasons is becoming non reliable. \section[{III.}]{III.} \section[{Findings of Study}]{Findings of Study}\par Findings has been discussed on the basis of viewpoint of the following: a) Findings from farmers point of view b) Findings from Government point of view 1. Through primary data analysis it has been found that unawareness is still a major factor contributing to changes in farmers decision for not taking insurance. 2. Among the total sample size of farmers, the main reason for taking crop insurance is due to loan taken from banks and due to financial security c) Findings of scheme season wise More number of farmers take agriculture insurance in Kharif season as compared to Rabi season depending on seasonal variation. \section[{IV.}]{IV.} \section[{Conclusion}]{Conclusion}\par The results of primary analysis of Madhya Pradesh according to data being taken of Jabalpur Division, it shows that the reasons of farmers for not taking insurance again varies according to season. In Kharif season it is not the other social factors(unawareness, no need, no navailability of insurance, premium bearing capacity is not there, banks available at distance etc) which effect the farmers decision of not taking insurance rather it is the economic and environmental factors which effects farmers decision of taking insurance (i.e, weather conditions and other natural calamity which can be extended further to include price risk and market failure also and not according to land sizes. In rabi season it is the social factor which is effecting farmers decision i.e, unawareness, no need for insurance facility, no need, not satisfied with terms and conditions and lack of premium paying capacity according to land sizes. Hence these factors should be kept in mind for making the scheme more effective in all seasons, by dealing with each condition separately.\par V. \section[{Suggestions}]{Suggestions}\par In kharif season farmers decision of adopting crop insurance is effected due to economic and environmental factors whereas in Rabi season the effect is due to social factor. It has been found that farmers due to high environmental risk take insurance in Kharif season as compared to Rabi season. If changes are being made in the policy they should be made according to seasons, research results shows that in kharif season farmers decision of not taking crop insurance is not effected due to social factors like: unawareness, not aware of insurance facility available, not interested, no need, insurance facility not available, lack of resources of premium payment, not satisfied with terms and conditions, rather it is according to the economic and environmental factor i. e, Sum insured, subsidy, premium rate, price risk, market failures, weather conditions and natural calamity. Hence decision or changes in making policy effective should be worked according to seasons, so that more and more farmers take insurance in Rabi season also along with Kharif season as there are changes according to farmers perception also.\begin{figure}[htbp] \noindent\textbf{1} \par \begin{longtable}{P{0.03355263157894737\textwidth}P{0.11557017543859649\textwidth}P{0.13048245614035087\textwidth}P{0.03728070175438596\textwidth}P{0.3131578947368421\textwidth}P{0.05219298245614035\textwidth}P{0.08201754385964911\textwidth}P{0.08574561403508771\textwidth}} Year\tabcellsep number of farmers covered\tabcellsep \multicolumn{2}{l}{Area insured sum insured}\tabcellsep gross premium\tabcellsep subsidy\tabcellsep claim amount\tabcellsep benefitted farmers\\ Total\tabcellsep 493522\tabcellsep 1116576.008\tabcellsep 3255831255\tabcellsep 104463915.8\tabcellsep 3788173\tabcellsep 24090174.4\tabcellsep 76487\\ \tabcellsep \tabcellsep \tabcellsep \tabcellsep \multicolumn{4}{l}{Source: Agriculture insurance corporation (AIC) office, 2015}\end{longtable} \par \caption{\label{tab_0}Table 1 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{2} \par \begin{longtable}{P{0.03923076923076923\textwidth}P{0.13512820512820511\textwidth}P{0.09589743589743589\textwidth}P{0.09153846153846154\textwidth}P{0.19179487179487179\textwidth}P{0.03051282051282051\textwidth}P{0.16128205128205128\textwidth}P{0.10461538461538462\textwidth}} Year\tabcellsep Number of farmer covered\tabcellsep Area insured\tabcellsep sum insured\tabcellsep gross premium\tabcellsep Subsidy\tabcellsep claim amount\tabcellsep benefitted farmers\\ Total\tabcellsep 2322926\tabcellsep 3924919.85\tabcellsep 9903705348\tabcellsep \multicolumn{3}{l}{625836920.6 34536259 1525096679}\tabcellsep 365563\\ \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \multicolumn{2}{l}{Source: A IC office, 2015}\end{longtable} \par \caption{\label{tab_1}Table 2 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{3} \par \begin{longtable}{P{0.85\textwidth}} Values in brackets shows percentages.\\ Source: According to primary data collection.\end{longtable} \par \caption{\label{tab_2}Table 3 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{4} \par \begin{longtable}{P{0.09147982062780269\textwidth}P{0.0781390134529148\textwidth}P{0.0781390134529148\textwidth}P{0.0781390134529148\textwidth}P{0.07242152466367713\textwidth}P{0.06098654708520179\textwidth}P{0.0647982062780269\textwidth}P{0.045739910313901344\textwidth}P{0.045739910313901344\textwidth}P{0.06098654708520179\textwidth}P{0.05908071748878924\textwidth}P{0.0781390134529148\textwidth}P{0.036210762331838564\textwidth}} \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep Number\tabcellsep \\ Size of\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep of\tabcellsep \\ land\tabcellsep 1\tabcellsep 2\tabcellsep 3\tabcellsep 4\tabcellsep 5\tabcellsep 6\tabcellsep 7\tabcellsep 8\tabcellsep 9\tabcellsep 10\tabcellsep farmers\tabcellsep Total\\ holdings\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep insuring\tabcellsep \\ \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep the crop\tabcellsep \\ Marginal\tabcellsep 85 (54.14)\tabcellsep 47 (54.02)\tabcellsep 22 (39.28)\tabcellsep 9 (42.85)\tabcellsep 5 (31.25)\tabcellsep 2 (28.57)\tabcellsep 0 (0)\tabcellsep 0 (0)\tabcellsep 3 (25)\tabcellsep 0 (0)\tabcellsep 87\tabcellsep 260\\ Small\tabcellsep 43 (27.38)\tabcellsep 22 (25.29)\tabcellsep 15 (26.28)\tabcellsep 4 (19.04)\tabcellsep 7 (43.75)\tabcellsep 2 (28.57)\tabcellsep 3 (60)\tabcellsep 1 (50)\tabcellsep 5 (41.67)\tabcellsep 2 (66.67)\tabcellsep 40\tabcellsep 120\\ Medium\tabcellsep 24 (15.28)\tabcellsep 15 (17.24)\tabcellsep 17 (30.35)\tabcellsep 7 (33.33)\tabcellsep 4 (25)\tabcellsep 3 (42.85)\tabcellsep 2 (40)\tabcellsep 1 (50)\tabcellsep 3 (25)\tabcellsep 1 (33.33)\tabcellsep 37\tabcellsep 110\\ Large\tabcellsep 4(3.18)\tabcellsep 2 (3.45)\tabcellsep 1 (3.57)\tabcellsep 1 (4.76)\tabcellsep 0 (0)\tabcellsep 0 (0)\tabcellsep 0 (0)\tabcellsep 0 (0)\tabcellsep 1 (8.33)\tabcellsep 0 (0)\tabcellsep 2\tabcellsep 10\\ Total\tabcellsep 156\tabcellsep 86\tabcellsep 55\tabcellsep 21\tabcellsep 16\tabcellsep 7\tabcellsep 5\tabcellsep 2\tabcellsep 12\tabcellsep 3\tabcellsep 166\tabcellsep 500\end{longtable} \par \caption{\label{tab_3}Table 4 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{5} \par \begin{longtable}{P{0.1730357142857143\textwidth}P{0.1426785714285714\textwidth}P{0.039464285714285716\textwidth}P{0.16089285714285714\textwidth}P{0.05160714285714286\textwidth}P{0.19732142857142856\textwidth}P{0.085\textwidth}} Size of land holdings\tabcellsep \multicolumn{2}{l}{Total number of insured farmers}\tabcellsep \multicolumn{2}{l}{Total number of non-insured farmers}\tabcellsep \multicolumn{2}{l}{Ratio between insured and non-insured}\\ \tabcellsep Kharif\tabcellsep Rabi\tabcellsep Kharif\tabcellsep Rabi\tabcellsep Kharif\tabcellsep Rabi\\ Marginal\tabcellsep 87\tabcellsep 36\tabcellsep 173\tabcellsep 223\tabcellsep 1:2\tabcellsep 1:6.2\\ Small\tabcellsep 40\tabcellsep 17\tabcellsep 80\tabcellsep 103\tabcellsep 1:2\tabcellsep 1:6\\ Medium\tabcellsep 37\tabcellsep 15\tabcellsep 73\tabcellsep 95\tabcellsep 1:1.97\tabcellsep 1:6.3\\ Large\tabcellsep 3\tabcellsep 2\tabcellsep 12\tabcellsep 11\tabcellsep 1:4\tabcellsep 1:5.5\\ Total\tabcellsep 167\tabcellsep 70\tabcellsep 338\tabcellsep 432\tabcellsep 1: 2.02\tabcellsep 1:6.17\\ Source:\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \end{longtable} \par \caption{\label{tab_4}Table 5 :}\end{figure} \footnote{Economic Analysis of Factors Responsible for Non Adoption of Agriculture Insurance Scheme in a Some District of Madhya Pradesh} \backmatter \begin{bibitemlist}{1} \bibitem[Dharwad]{b9}\label{b9} \textit{}, September Dharwad . \bibitem[District et al.]{b16}\label{b16} \textit{}, Hassan District , M Karnataka , Sc . Bangalore. University of Agricultural Sciences (Agri.) Thesis) \bibitem[ Agricultue insurance corporation office ()]{b28}\label{b28} \textit{}, \textit{Agricultue insurance corporation office} 2015. \bibitem[Benor and Harrison ()]{b2}\label{b2} \textit{Agricultural extension: the training and visit system}, D Benor , J Q Harrison . 1977. Washington, D. C.: World Bank. \bibitem[Mallikrjun ()]{b8}\label{b8} \textit{An Economic analysis of crop insurance for onion in Dharwad district}, Hasanbadi Mallikrjun , S . 2005. (Department of agriculture economics, college of Agriculture) \bibitem[Iyengar ()]{b11}\label{b11} \textit{An Economic Analysis of Crop Insurance for Paddy in Bangalore rural district}, H Iyengar . 1989. \bibitem[Hazell and Valdes ()]{b10}\label{b10} \textit{Crop insurance for agricultural development: Issues and experiences}, P P Hazell , A Valdes . 1985. Baltimore, Maryland, USA; Washington, DC USA: International Food Policy Research Institute. \bibitem[Peter et al. ()]{b18}\label{b18} \textit{Crop insurance for Agriculture development: Issues and Experience}, Peter , Hazell; Carlos , Alberto Pomareda , Valdes . 1986. Baltimore and London: The John Hopkins University press. (Published for the International Food Policy Research Institute) \bibitem[Vyas and Singh ()]{b23}\label{b23} ‘Crop Insurance in India-Scope for improvement’. V S Vyas , Surjit Singh . 41(43/44. \textit{Economic and Political Weekly} 2006. \bibitem[Jerry et al. ()]{b12}\label{b12} ‘Designing and rating an area yield crop insurance contract’. R S Jerry , J R Black , B J Bernett . \textit{American Journal of Agricultural Economics} 1997. p. 79. M.Sc. (Agri.) Thesis (Unpublished), University of Agricultural Sciences \bibitem[Singh and Walker ()]{b20}\label{b20} \textit{Determinants and implications of crop failure in the Semi-Arid Tropics of India}, R P Singh , T S Walker . 1982. India. (ICRISAT Economics Program progress report 40, Patancheru, A. P. 502 324) \bibitem[Trigo and Pineiro ()]{b21}\label{b21} ‘Dynamics of agricultural research organization in Latin America’. E J Trigo , M E Pineiro . \textit{Food Policy} 1981. Villa Issa. 17 (1) p. . \bibitem[Jodha ()]{b13}\label{b13} ‘Effectiveness of farmers' adjustment to risk’. N S Jodha . \textit{Economic and Political Weekly} 1978. 13 (25) p. . \bibitem[Binswanger and Ryan ()]{b4}\label{b4} ‘Efficiency and equity issues in ex-ante allocation of research resources’. H P Binswanger , J G Ryan . \textit{Indian Journal of Agricultural Economics} 1977. 32 (3) p. . \bibitem[Walker and Jodha ()]{b25}\label{b25} \textit{Efficiency of risk management by small farmers and implication for crop insurance}, T S Walker , N S Jodha . 1982. Economic Programme, ICRISAT. (Progress Report-45) \bibitem[Walker and Jodha (1982)]{b22}\label{b22} ‘Efficiency of Risk Management by Small Farmers and Implications for Crop Insurance’. T S Walker , N S Jodha . \textit{International Crops Research Institute for the Semi-Arid Tropics ICRISAT Patancheru}, 1982. November 1982. (economic program progress report 45) \bibitem[Goodwin et al. ()]{b6}\label{b6} ‘Ex ante appraisal of new technology: sorghum in Northeast Brazil’. J B Goodwin , J H Sanders , Antonio Hollanda , Dias De . \textit{American Journal of Agricultural Economics} 1980. 62 (4) p. . \bibitem[Griliches ()]{b7}\label{b7} ‘Hybrid corn: an exploration in the economics of technological change’. Z Griliches . \textit{Econometrica} 1957. 25 p. . \bibitem[Kiran ()]{b15}\label{b15} \textit{Impact of Crop Insurance on Production and Resource Use Efficiency in Potato in}, S Kiran . 2010. \bibitem[White ()]{b27}\label{b27} \textit{Natural hazards local, national, global. London: Oxford University}, Gilbert White , F . \url{Press.www.aicofindia.com} 1974. 27. \bibitem[Benito ()]{b1}\label{b1} ‘Peasants response to modernization projects in minifundio economics’. C A Benito . \textit{American Journal of Agricultural Economics} 1976. 58 p. . \bibitem[Bliss ()]{b5}\label{b5} \textit{Presented at a seminar on Risk and Uncertainty in Agricultural Development}, C J Bliss . 1976. Mexico. CIMMYT, El Batan (Risk bearing in Indian agriculture, mimeographed) \bibitem[Barah and Binswanger ()]{b0}\label{b0} ‘Regional effects of national stabilization policies: the case of India’. B C Barah , H P Binswanger . \textit{American Journal of Agricultural Economics} 1982. (forthcoming) \bibitem[Planning Commission Goi Goi (ed.) ()]{b19}\label{b19} \textit{Report of working group on Risk Management in Agriculture}, Planning Commission, Goi, Goi (ed.) (New Delhi; New Delhi) 2007. GOI. Report of working group on Risk Management in Agriculture \bibitem[Walker ()]{b24}\label{b24} ‘Risk and adoption of hybrid maize in El Salvador’. T S Walker . \textit{Food Research Institute Studies} 1981. 18 p. . \bibitem[Binswanger (1982)]{b3}\label{b3} \textit{Risk aversion, rural financial markets and the demand for crop insurance. Paper presented at the conference on Agricultural Risks, Insurance, and Credit in Latin America held at IICA headquarters in}, H P Binswanger . 1982. Feb 8-10, 1982. San Jose, Costa Rica. \bibitem[Jodha ()]{b14}\label{b14} ‘Role of credit in farmers' adjustment against risk in arid and semi-arid tropical areas of India’. N S Jodha . \textit{Economic and Political Weekly} 1981b. 16 p. . \bibitem[ M ()]{b17}\label{b17} \textit{The effect of the labor market in the adoption of new production technology in a rural development project: the case of Plan Puebla}, M . 1976. Mexico. Purdue University (Ph.D. thesis) \bibitem[Walker and Subba Rao ()]{b26}\label{b26} \textit{Yield and net return distributions in common village cropping systems in the Semi-Arid Tropics of India}, T S Walker , K V Subba Rao . 1982. India. (ICRISAT Economics Program progress report 41, Patancheru, A. P. 502 324) \end{bibitemlist} \end{document}