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<front>
<journal-meta>
<journal-id journal-id-type="pmc">EA</journal-id>
<journal-id journal-id-type="nlm-ta">EA</journal-id>
<journal-id journal-id-type="publisher-id">EA</journal-id>
<journal-title-group>
<journal-title>Economic Affairs</journal-title>
</journal-title-group>
<issn pub-type="ppub">0424-2513</issn>
<issn pub-type="epub">0976-4666</issn>
<publisher>
<publisher-name>AESSRA</publisher-name>
<publisher-loc>India</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="other">EA-66-03-0481</article-id>
<article-id pub-id-type="doi">10.46852/0424-2513.3.2021.18</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Paper</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Growth Performance and Profitability of Rice Production in India: An Assertive Analysis</article-title>
</title-group>
<contrib-group><contrib contrib-type="author">
<name><surname>Singh</surname><given-names>K.M.</given-names></name><xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ahmad</surname><given-names>Nasim</given-names></name><xref ref-type="aff" rid="A2">2</xref>
<xref ref-type="corresp" rid="cor001">*</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Pandey</surname><given-names>Vagish Vandana</given-names></name><xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kumari</surname><given-names>Tulika</given-names></name><xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Singh</surname><given-names>Ritambhara</given-names></name><xref ref-type="aff" rid="A4">4</xref></contrib></contrib-group>
<aff id="A1"><label>1</label>Dean, PG College of Agriculture, Dr. Rajendra Prasad Central Agricultural University, Pusa (Samastipur), Bihar, India</aff>
<aff id="A2"><label>2</label>Department of Agricultural Economics, Dr. Rajendra Prasad Central Agricultural University, Pusa (Samastipur), Bihar, India</aff>
<aff id="A3"><label>3</label>Indira Gandhi Institute of Development Research, Goregaon, Mumbai, Maharashtra, India</aff>
<aff id="A4"><label>4</label>Department of Agricultural Economics, Dr. Rajendra Prasad Central Agricultural University, Pusa (Samastipur), Bihar, India</aff>
<author-notes>
<corresp id="cor001"><label>*</label>Corresponding author: <email>nasim.rau@gmail.com</email> (<bold>ORCID ID:</bold> 0000-0002-8332-155X)</corresp></author-notes>
<pub-date pub-type="ppub">
<month>09</month>
<year iso-8601-date="2021">2021</year>
</pub-date>
<volume>66</volume>
<issue>03</issue>
<fpage>481</fpage>
<lpage>486</lpage>
<history>
<date date-type="received" iso-8601-date="2021-04-09">
<day>09</day>
<month>04</month>
<year>2021</year>
</date>
<date date-type="revised" iso-8601-date="2021-07-20">
<day>20</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted" iso-8601-date="2021-08-04">
<day>04</day>
<month>08</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>&#x00A9; AESSRA, India</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>AESSRA, India</copyright-holder>
</permissions>
<self-uri content-type="pdf" xlink:href="EA-66-03-0481.pdf"></self-uri>
<abstract>
<title>Abstract</title>
<p>This study assessed the growth trends and instability in area, production and productivity of rice in major rice growing states during the period 2001-02 to 2018-19. The study revealed that compound growth rate of area under rice was almost constant in the country during last two decades, while it was fluctuating across the states. However, growth rates of production and productivity was found positive and significant. Instability in area under rice was less as compared to production and productivity. Although production of rice has increased due to innovations and adoption of new farm technologies, but a greater instability in production, indicated the influence of irregular monsoon on production during the study period. Many of the States registered negative profitability in rice cultivation and farmers get handful returns only when the farm business income was calculated. To provide better protection to the farmers through restriction on purchasing rice below MSP or government may adopt proper mechanism to stop distress sale of farm produces particularly rice.</p>
<sec>
<title>HIGHLIGHTS</title>
<list list-type="bullet">
<list-item><p>Area under rice cultivation in India was found to be more or less stagnant over last two decades.</p></list-item>
<list-item><p>Rice production has increased due to farm innovations but increased instability in production increased distress to the rice growers.</p></list-item>
<list-item><p>Many of the states registered negative profitability in rice cultivation and only farm business income was positive.</p></list-item>
</list>
</sec>
</abstract>
<kwd-group>
<kwd>Farm business income</kwd>
<kwd>Growth</kwd>
<kwd>Instability</kwd>
<kwd>Loss</kwd>
<kwd>Profitability</kwd>
<kwd>Rice</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<ref-count count="21"/>
<page-count count="6"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title/>
<p>The continuum growth of population and changing dietary preferences have raised the food demand and are imposing threat to food security at global level (<xref ref-type="bibr" rid="R4">Dzanku <italic>et al.</italic> 2015</xref>; <xref ref-type="bibr" rid="R6">Godfray <italic>et al</italic>. 2010</xref>). To maintain the food security, expansion of arable land and intensification of agriculture are two major factors to address the food demand of the growing population (<xref ref-type="bibr" rid="R11">Licker <italic>et al.</italic> 2010</xref>). With the limited land resources; it is difficult to meet out the increasing food demand. Net sown area is declining over the years as the agricultural lands are being utilized in urbanization like constructing residential building and related infrastructures, establishment of industries, etc. (<xref ref-type="bibr" rid="R18">Sinha <italic>et al.</italic> 2016</xref>; <xref ref-type="bibr" rid="R16">Singh <italic>et al.</italic> 2015b</xref>). Several studies have emphasized extra 75-100 percent increase in food production by 2050 to meet the projected demand of food for ever increasing population with the present diet pattern, income and consumption (<xref ref-type="bibr" rid="R13">Rosegrant <italic>et al.</italic> 2009</xref>; <xref ref-type="bibr" rid="R20">UNFPA, 2010</xref> and Van <italic>et al.</italic> 2013). Rice, wheat and maize are major cereal crops and their production is closely related to food security and sustainable development of the society (<xref ref-type="bibr" rid="R17">Singh <italic>et al.</italic> 2015a</xref>; <xref ref-type="bibr" rid="R15">Singh <italic>et al.</italic> 2015c</xref>).</p>
<p>The spatial variations have been an important dimension of varying growth trends of crops in Indian states because of differences in agro-climatic conditions, infrastructural developments and inherent socio-economic situations across the nation. The instability of economic phenomena is defined as the departure from what may be considered to be a stable passage through time. It quantifies the risk of insecurity arises from production, trade, income and prices etc. Instability measurement with respect to agricultural production is of interest to food issues or to issues resulting due to influence of fluctuations in output on agricultural prices and returns to the producers (<xref ref-type="bibr" rid="R5">FAO, 1998</xref>).</p>
<p>The production of rice in India was 116.42 million tonnes, covering an area of 43.79 million hectares, which were approximately 35.33 per cent of area under food crops and 40.86 per cent production of total food-grains of the country during 201819. It is an important staple food consumed by 65 per cent population of the country. It contributes around 10 per cent of the agricultural GDP and its production generates 3.5 billion man-days of employment (<xref ref-type="bibr" rid="R2">Ahmad <italic>et al.</italic> 2017</xref>; <xref ref-type="bibr" rid="R9">Kumar <italic>et al.</italic> 2018</xref>). Consumption of rice as a staple food by a large proportion of people, its contribution in agricultural GDP and generation of employment highlight its role in national food security, income and employment generation in India (<xref ref-type="bibr" rid="R1">Ahmad <italic>et al.</italic> 2019</xref>). Rice is the main staple food of India and is cultivated almost in all the states. The major rice producing states with respect to its share in total rice production of the nation were West Bengal (13.79%), Uttar Pradesh (13.34%), Andhra Pradesh including Telangana (12.84%), Punjab (11.01%), Odisha (6.28%), Chhattisgarh (5.61%), Tamil Nadu (5.54%), Bihar (5.19%), Assam (4.41%), Haryana (3.88%) and Madhya Pradesh (3.86%). As rice is one of the major crops in these states, it is important to find out the present status related to growth and profitability of the crop in these states. Keeping this in consideration, the present study attempted to investigate growth and instability in area, production, productivity, cost of cultivation and profitability of rice in major rice producing states and nation as whole.</p>
</sec>
<sec>
<title>MATERIALS AND METHODS</title>
<p>Secondary data pertaining to area, production and productivity of rice for major rice growing states of India covering a period from 2001-02 to 2018-19 were used to assess the growth performance and instability of rice in the states as well as nation as whole. There was continuous fluctuation in all three key variables namely area, production and yield of rice in the states as well as at national level during the period under study. As cost of cultivation data is available only from 2001 onwards, so for comparison purposes the study was limited to these years only. There has not been much increase in area under rice but there has been significant increase in production which reflects India&#x2019;s self sufficiency in rice production and the potential to export rice to other counties. For estimating farm business analysis, data pertaining to cost of cultivation generated by Commission on Agricultural Costs and Prices (CACP) was used covering period from 200001 to 2016-17. For detail farm business analysis, the data of triennium ending 2003 and 2017 were used.</p>
<sec>
<title>Estimation of growth rates</title>
<p>The compound growth rates (CGRs) of area, production and productivity of rice in major rice producing states of India was computed both for states and for India as a whole, using the following formula:
<disp-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="block"><mml:mi>C</mml:mi><mml:mi>G</mml:mi><mml:mi>R</mml:mi><mml:mo>=</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mtext>&#x00A0;Antilog of&#x00A0;</mml:mtext><mml:mi>b</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn><mml:msup><mml:mo stretchy="false">)</mml:mo><mml:mrow><mml:mo>&#x2217;</mml:mo></mml:mrow></mml:msup><mml:mn>100</mml:mn></mml:math></disp-formula></p>
<p>Where, <italic>b</italic> is the regression coefficient.</p>
<p>Instability is the deviation from trend and many of the researchers (<xref ref-type="bibr" rid="R7">Hazell, 1982</xref>; <xref ref-type="bibr" rid="R10">Larson <italic>et al</italic>. 2004</xref> and <xref ref-type="bibr" rid="R14">Sharma <italic>et al.</italic> 2006</xref>) have used the coefficient of variation (CV) as a tool of instability. An index of instability was computed for examining the nature and degree of instability in area, production and yield of the rice crop at state and nation level. Simple CV does not explain properly the trend component inherent in the time series data so the instability index was calculated using better measure of variability suggested by Cuddy-Della Valle index (Cuddy and Della, 1978).
<disp-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="block"><mml:mtable displaystyle="true" columnalign="right left right left right left right left right left right left" columnspacing="0em 2em 0em 2em 0em 2em 0em 2em 0em 2em 0em" rowspacing="3pt"><mml:mtr><mml:mtd></mml:mtd><mml:mtd><mml:mtext>&#x00A0;Instability Index&#x00A0;</mml:mtext><mml:mo>=</mml:mo><mml:mi>C</mml:mi><mml:mi>V</mml:mi><mml:mo>&#x2217;</mml:mo><mml:msqrt><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:msup><mml:mi>R</mml:mi><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:msqrt></mml:mtd></mml:mtr><mml:mtr><mml:mtd></mml:mtd><mml:mtd><mml:mi>C</mml:mi><mml:mi>V</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mtext>&#x00A0;Standard deviation of the variable&#x00A0;</mml:mtext><mml:mtext>&#x00A0;Mean of the variable&#x00A0;</mml:mtext></mml:mfrac><mml:mo>&#x00D7;</mml:mo><mml:mn>100</mml:mn></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula></p>
<p>If the estimated coefficient of regression equation is not significant, then the <italic>CV</italic> itself is taken as instability index.</p>
<p>Where, <italic>CV</italic> is coefficient of variation and <italic>R</italic><sup>2</sup> is the coefficient of determination from a time series trend regression adjusted by the degrees of freedom.</p>
<p>Apart from Cuddy Della Valle Index (CDVI), this study also calculated Coppock Instability Index (CII) (<xref ref-type="bibr" rid="R8">Kaur and Singhal, 1988</xref>).
<disp-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="block"><mml:mtable displaystyle="true" columnalign="right left right left right left right left right left right left" columnspacing="0em 2em 0em 2em 0em 2em 0em 2em 0em 2em 0em" rowspacing="3pt"><mml:mtr><mml:mtd></mml:mtd><mml:mtd><mml:mtext>&#x00A0;Coppock's Instability Index&#x00A0;</mml:mtext><mml:mo>=</mml:mo><mml:mi>Antilog</mml:mi><mml:mo>&#x2061;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:msqrt><mml:mi>log</mml:mi><mml:mo>&#x2061;</mml:mo><mml:mi>V</mml:mi></mml:msqrt><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn><mml:mo stretchy="false">)</mml:mo><mml:mo>&#x2217;</mml:mo><mml:mn>100</mml:mn></mml:mtd></mml:mtr><mml:mtr><mml:mtd></mml:mtd><mml:mtd><mml:mi>log</mml:mi><mml:mo>&#x2061;</mml:mo><mml:mi>V</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:msup><mml:mrow><mml:mo>[</mml:mo><mml:mrow><mml:mo>(</mml:mo><mml:mi>log</mml:mi><mml:mo>&#x2061;</mml:mo><mml:mfrac><mml:msub><mml:mi>X</mml:mi><mml:mrow><mml:mi>t</mml:mi><mml:mo>+</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mi>X</mml:mi><mml:mrow><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:mfrac><mml:mo>)</mml:mo></mml:mrow><mml:mi>m</mml:mi><mml:mo>]</mml:mo></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup><mml:mrow><mml:mi>N</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:mfrac></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula></p>
<p><italic>X<sub>t</sub></italic> = area/production/productivity of rice in the year &#x2018;<italic>t</italic>&#x2019;; <italic>N</italic> = number of years; <italic>m</italic> = mean of the difference between logs of <italic>X<sub>t</sub></italic><sub>+1</sub>, <italic>X<sub>t</sub>; Log V</italic> = Logarithmic variance of the series</p>
</sec>
<sec>
<title>Farm business analysis</title>
<p>Cost C<sub>2</sub> is used as total cost of cultivation which includes all actual expenses in cash and kind incurred in production as well as interest on value of owned capital assets (excluding land), rental value of owned land and rent paid for leased-in land. Profitability/loss in rice cultivation was estimated using following methods:
<disp-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="block"><mml:mtable displaystyle="true" columnalign="right left right left right left right left right left right left" columnspacing="0em 2em 0em 2em 0em 2em 0em 2em 0em 2em 0em" rowspacing="3pt"><mml:mtr><mml:mtd></mml:mtd><mml:mtd><mml:mtext>&#x00A0;Farm business income&#x00A0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#x00A0;Gross income&#x00A0;</mml:mtext><mml:mo>&#x2212;</mml:mo><mml:mtext>&#x00A0;Cost&#x00A0;</mml:mtext><mml:msub><mml:mi>A</mml:mi><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mtd></mml:mtr><mml:mtr><mml:mtd></mml:mtd><mml:mtd><mml:mtext>&#x00A0;Family labour income&#x00A0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#x00A0;Gross income&#x00A0;</mml:mtext><mml:mo>&#x2212;</mml:mo><mml:mtext>&#x00A0;Cost&#x00A0;</mml:mtext><mml:msub><mml:mi>B</mml:mi><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mtd></mml:mtr><mml:mtr><mml:mtd></mml:mtd><mml:mtd><mml:mtext>&#x00A0;Net income&#x00A0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#x00A0;Gross income&#x00A0;</mml:mtext><mml:mo>&#x2212;</mml:mo><mml:mtext>&#x00A0;Cost&#x00A0;</mml:mtext><mml:msub><mml:mi>C</mml:mi><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula></p>
<p>Gross income from paddy cultivation is estimated by adding values of main and by-product which was estimated by the Commission on Agricultural Costs and Prices (CACP). Profitability/loss is calculated as given below:
<disp-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="block"><mml:mtext>&#x00A0;Profit or loss&#x00A0;</mml:mtext><mml:mo stretchy="false">(</mml:mo><mml:mi mathvariant="normal">%</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mo>=</mml:mo><mml:mrow><mml:mo>[</mml:mo><mml:mfrac><mml:mtext>&#x00A0;Value of produce&#x00A0;</mml:mtext><mml:mtext>&#x00A0;Cost of cultivation&#x00A0;</mml:mtext></mml:mfrac><mml:mo>-</mml:mo><mml:mn>1</mml:mn><mml:mo>]</mml:mo></mml:mrow><mml:mo>&#x00D7;</mml:mo><mml:mn>100</mml:mn></mml:math></disp-formula></p>
</sec>
</sec>
<sec>
<title>RESULTS AND DISCUSSION</title>
<sec>
<title>Growth performance of rice</title>
<p>Compound annual growth rates of area, production and productivity of rice in major rice growing states and the country as a whole was calculated covering data of period from 2001-02 to 2018-19 and the results are presented in <xref ref-type="table" rid="t1">Table 1</xref>.</p>
<table-wrap id="t1">
<label>Table 1</label>
<caption>
<p>Growth of area, production and productivity of rice in major rice growing states of India</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="EA-66-03-0481-t001.jp"/>
</table-wrap>
<p>The compound growth rates of area under rice was estimated to be positive (0.06%) for the nation. The growth rates of area under rice for Andhra Pradesh including Telangana (0.47%), Assam (0.01%), Haryana (1.05%), Madhya Pradesh (0.83%), Punjab (0.50%) and Uttar Pradesh (0.11%) were also estimated to be positive whereas, the states like Bihar (-0.22%), Chhattisgarh (-0.02%), Odisha (-0.44%), Tamil Nadu (-0.09%) and West Bengal (-0.29%) showed negative growth rates. About 85 per cent rice in the country is cultivated under rain-fed conditions and due to erratic behaviour of monsoon over the last two decades, growth rate of area was fluctuating across the major rice growing states and the area under rice increased at minuscule level (0.06 per cent). The other reasons for fluctuating trends in area under cultivation may be shifting of farmers to other cash crops due to opening up of economy, fetching higher income due to high international prices and expectation of export opportunities.</p>
<p>Growth rates of production and productivity in almost all the states and nation as whole was computed to be positive and significant. The reason for increase in production and productivity could be adoption of new technologies of rice cultivation like use of high yielding varieties, improved package and practices, improved infrastructural facilities for farming.</p>
</sec>
<sec>
<title>Instability of area, production and productivity of rice</title>
<p>Instability indices in area, production and productivity of rice from the period of 2001-02 to 2018-19 was computed by using coefficient of variation, Cuddy- Della Valle index (CDVI) and Coppock Instability Index (CII) methods. The results of the analysis are presented in <xref ref-type="table" rid="t2">Table 2</xref>. The result revealed that instability index of area under rice was comparatively less than that of production and productivity at national level indicating area under rice was more or less stagnant during the period under investigation. No doubt, production and productivity of rice has increased during the period of investigation due to technological changes in production of rice. However, instability indices of production and productivity was more because production and productivity are influenced by climatic conditions and during study period the monsoon was very erratic, which may have created variation in production and yield. The increased instability in the production also shows the distress in rice production.</p>
<p>State-wise instability indices of area, production and productivity of rice also showed that instability in area was less than that of production and productivity in all the major rice growing states. Instability indices of production and productivity were comparatively high in Madhya Pradesh, Bihar, Tamil Nadu and Chhattisgarh. In Indian states rice is grown in various production ecologies mainly grouped as irrigated and rain-fed systems. Productions in these systems vary widely, while former is considered favourable. States like Andhra Pradesh, Tamil Nadu, Punjab, and Haryana have predominantly irrigated rice while Madhya Pradesh Bihar, Uttar Pradesh, West Bengal, Odisha and Assam represent predominantly rain-fed rice area. During last two decades monsoon remained erratic. Hence, higher instability in production and productivity was observed in rain-fed states (<xref ref-type="bibr" rid="R12">Rani <italic>et al</italic>. 2010</xref>). In Tamil Nadu, farmers were not interested in adopting the hybrid rice technology; instead they were interested in the cultivation of HYVs (<xref ref-type="bibr" rid="R19">Sivagnanam, 2014</xref>) may be the reason for high instability in production in the state. The poor infrastructural development, socio-economic condition and erratic rainfall in these states have also adversely affected the production and productivity of rice.</p>
<table-wrap id="t2">
<label>Table 2</label>
<caption>
<p>Instability in area, production and productivity of rice in major rice growing states of India</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="EA-66-03-0481-t002.jp"/>
</table-wrap>
</sec>
<sec>
<title>Profitability/loss trend in cultivation of rice</title>
<p>Cost of cultivation data collected and compiled by Commission on Agricultural Costs and Prices (CACP) was used covering period from 2000-01 to 2016-17. For detail farm business analysis the data of triennium ending 2003 and 2017 were used and the results are presented in <xref ref-type="table" rid="t3">Table 3</xref>. The results revealed that gross income from rice cultivation was comparatively high in Punjab followed by Tamil Nadu, Haryana and Andhra Pradesh. Total cost (Cost C<sub>2</sub>) was more in Tamil Nadu followed by Andhra Pradesh, Punjab and Haryana. Net income was comparatively high in case of Punjab followed by Haryana, Tamil Nadu and Andhra Pradesh and in rest of the state net income was negative. The reason may be that the productivity of Punjab, Haryana, Tamil Nadu and Andhra Pradesh was comparatively high as compared to Assam, Bihar, Chhattisgarh, Odisha, Madhya Pradesh and West Bengal. The other reason may be that Punjab, Haryana, Tamil Nadu and Andhra Pradesh have regulated markets and farmers might have sold their produce on minimum support price (MSP). Punjab and Haryana have well developed procurement policy for paddy and during 201819 these two states contributed 113.3 lakh metric tonne and 39.4 lakh metric tonne of rice to the total central pool, respectively of total 443.3 lakh million tonne. In open market the prices often remain less than that of MSP. The other reason could be the highest productivity for rice (4 tonnes/ha).Results for the States like Assam, Bihar, Chhattisgarh, Madhya Pradesh, Odisha, Uttar Pradesh and West Bengal have indicated losses in cultivation of paddy because the productivity of these states are comparatively less as compared to Punjab, Haryana, Tamil Nadu and Andhra Pradesh. The underdeveloped procurement policy for paddy along with less electric power supply to agricultural sector in these states lowers the profitability from rice cultivation. Farmers have to depend on diesel to pump groundwater which makes the irrigation costly and raise the cost of cultivation. The other reason for losses in rice cultivation may be less adoption of technologies due to poor economic condition and infrastructures for agricultural operations. Only the farm business income was found to be positive that is why the farmers are continuing rice farming. Otherwise rice farming in most of the Indian states is not profitable.</p>
<table-wrap id="t3">
<label>Table 3</label>
<caption>
<p>Cost of paddy cultivation and gross income in major paddy growing states of India</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="EA-66-03-0481-t003.jp"/>
</table-wrap>
<p>From the above analysis and ongoing discussion, it may be inferred that compound growth rate of area under rice was almost constant in the country during the period of investigation. It was fluctuating across the states but growth rates of production and productivity was positive and significant indicating the production of rice increased during the period under study. Instability indices were found to be less as compared to production and productivity due to technological changes in cultivation practices. Increased instability in production indicated the influence of irregular monsoon on production during the study period. Most of the states registered negative profitability in rice cultivation. Only the farm business income was found to be positive. Hence, policies should be framed to sustain the rice farming in the country for ensuring food security of the nation. To provide better remuneration, policies should be framed to restrict sale of rice below MSP and purchase of rice below MSP may be made punishable, so that farmers may not shift to other crops or quit rice farming in order to ensure national food security.</p>
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<ref-list>
<ref id="R1"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Ahmad</surname>, <given-names>N</given-names></string-name>, <string-name><surname>Singh</surname>, <given-names>K.M.</given-names></string-name>, <string-name><surname>Sinha</surname>, <given-names>D.K.</given-names></string-name>, <string-name><surname>Mishra</surname>, <given-names>R.R.</given-names></string-name></person-group> <year>2019</year>. <article-title>Food security and sustainability of agricultural production: An economic appraisal in Indian context</article-title>. <source>Int. J. Chem. Stud.</source>, <volume>7</volume>(<issue>4</issue>):<fpage>3229</fpage>-<lpage>3232</lpage>.</mixed-citation></ref>
<ref id="R2"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Ahmad</surname>, <given-names>N.</given-names></string-name>, <string-name><surname>Sinha</surname>, <given-names>D.K.</given-names></string-name>, <string-name><surname>Singh</surname>, <given-names>K.M.</given-names></string-name></person-group> <year>2017</year>. <article-title>Estimating Production Efficiency in Rice Cultivation of Bihar: An Economic Approach</article-title>. <source>Econ. Affair</source>, <volume>62</volume>(<issue>3</issue>):<fpage>353</fpage>-<lpage>360</lpage>.</mixed-citation></ref>
<ref id="R3"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Cuddy</surname>, <given-names>J.D.A.</given-names></string-name> and <string-name><surname>Della Valle</surname>, <given-names>P.A.</given-names></string-name></person-group> <year>1978</year>. <article-title>Measuring the instability of time series data</article-title>. <source>Oxford Bulletin Econ. Stat.,</source> <volume>40:</volume> <fpage>79</fpage>-<lpage>85</lpage>.</mixed-citation></ref>
<ref id="R4"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Dzanku</surname>, <given-names>F.M</given-names></string-name>, <string-name><surname>Jirstorm</surname>, <given-names>M.</given-names></string-name>, <string-name><surname>Marstorp</surname>, <given-names>H.</given-names></string-name></person-group> <year>2015</year>. <article-title>Yield gapbased poverty gaps in rural sub-Saharan Africa</article-title>. <source>World Dev.,</source> <volume>67</volume>: <fpage>336</fpage>-<lpage>362</lpage>.</mixed-citation></ref>
<ref id="R5"><mixed-citation publication-type="journal"><collab>FAO</collab>, <year>1998</year>. <article-title>On the measurement of instability of agricultural production and the associated risk of insecurity</article-title>. In: <source>A Paper presented in Sixth IWG. Agri. Seminar on Agri. Statistics</source>, <publisher-loc>Russia</publisher-loc>, June 29&#x2013;July 3, 1998.</mixed-citation></ref>
<ref id="R6"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Godfray</surname>, <given-names>H.C.J.</given-names></string-name>, <string-name><surname>John</surname>, <given-names>R.B.</given-names></string-name> <string-name><surname>Ian</surname>, <given-names>R.C.</given-names></string-name> <string-name><surname>Lawrence</surname>, <given-names>H.</given-names></string-name> <string-name><surname>David</surname>, <given-names>L.</given-names></string-name> <string-name><surname>James</surname>, <given-names>F.M.</given-names></string-name>, <string-name><surname>Jules</surname>, <given-names>P.</given-names></string-name> <string-name><surname>Sherman</surname>, <given-names>R.</given-names></string-name> <string-name><surname>Sandy</surname>, <given-names>M. T.</given-names></string-name>, <string-name><surname>Camilla</surname>, <given-names>T.</given-names></string-name></person-group> <year>2010</year>. <article-title>Food security: The challenge of feeding 9 billion people</article-title>. <source>Sci.,</source> <volume>327</volume>: <fpage>812</fpage>-<lpage>818</lpage>.</mixed-citation></ref>
<ref id="R7"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Hazell</surname>, <given-names>Peter B.R.</given-names></string-name></person-group> <year>1982</year>. <source>Instability in Indian Food grain Production, Research Report No. 30, International Food Policy Research Institute, Washington, D.C., U.S.A.</source></mixed-citation></ref>
<ref id="R8"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Kaur</surname>, <given-names>N.</given-names></string-name>, <string-name><surname>Singhal</surname>, <given-names>K.C.</given-names></string-name></person-group> <year>1988</year>. <article-title>India&#x2019;s Export Instability</article-title>. <source>Margin,</source> <volume>21</volume>: <fpage>54</fpage>-<lpage>61</lpage>.</mixed-citation></ref>
<ref id="R9"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Kumar</surname>, <given-names>A.</given-names></string-name>, <string-name><surname>Singh</surname>, <given-names>R.K.P.</given-names></string-name>, <string-name><surname>Singh</surname>, <given-names>K.M.</given-names></string-name>, <string-name><surname>Mishra</surname>, <given-names>J.S.</given-names></string-name></person-group> <year>2018</year>. <article-title>Economics of paddy (Oryza sativa) production: A comparative study of Bihar and Punjab</article-title>. <source>Ind. J. Agril. Sci.,</source> <volume>88</volume>(<issue>2</issue>):<fpage>314</fpage>&#x2013;<lpage>9</lpage>.</mixed-citation></ref>
<ref id="R10"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Larson</surname>, <given-names>D.W.</given-names></string-name>, <string-name><surname>Jones</surname>, <given-names>E.</given-names></string-name>, <string-name><surname>Pannu</surname>, <given-names>R.S.</given-names></string-name>, <string-name><surname>Sheokand</surname>, <given-names>R.S.</given-names></string-name></person-group> <year>2004</year>. &#x201C;<article-title>Instability in Indian Agriculture &#x2013; A Challenge to the Green Revolution Technology</article-title>&#x201D;, <source>Food Policy</source>, <volume>29</volume>(<issue>3</issue>):<fpage>257</fpage>-<lpage>273</lpage>.</mixed-citation></ref>
<ref id="R11"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Licker</surname>, <given-names>R.</given-names></string-name>, <string-name><surname>Johnston</surname>, <given-names>M.</given-names></string-name>, <string-name><surname>Foley</surname>, <given-names>J.A.</given-names></string-name>, <string-name><surname>Barford</surname>, <given-names>C.</given-names></string-name>, <string-name><surname>Kucharik</surname>, <given-names>C.J.</given-names></string-name>, <string-name><surname>Monfreda</surname>, <given-names>C.</given-names></string-name>, <string-name><surname>Ramankutty</surname>, <given-names>N.</given-names></string-name></person-group> <year>2010</year>. <article-title>Mind the gap: How do climate and agricultural management explain the &#x2018;yield gap&#x2019; of croplands around the world?</article-title> <source>Global Eco. and Biogeography,</source> <volume>19</volume>(<issue>6</issue>):<fpage>769</fpage>-<lpage>782</lpage>.</mixed-citation></ref>
<ref id="R12"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Rani</surname>, <given-names>N.S.</given-names></string-name>, <string-name><surname>Prasad</surname>, <given-names>G.S.V.</given-names></string-name> <string-name><surname>Sailaja</surname>, <given-names>B.</given-names></string-name>, <string-name><surname>Muthuraman</surname>, <given-names>P.</given-names></string-name>, <string-name><surname>Meera</surname>, <given-names>S.N</given-names></string-name> and. <string-name><surname>Viraktamath</surname>, <given-names>B.C.</given-names></string-name></person-group> <year>2010</year>. <article-title>Rice Almanac India</article-title>. Pp. <fpage>307</fpage>. <source>Directorate of Rice Research, Hyderabad</source>.</mixed-citation></ref>
<ref id="R13"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Rosegrant</surname>, <given-names>M.W.</given-names></string-name> <string-name><surname>Ringler</surname>, <given-names>C.</given-names></string-name>, <string-name><surname>Zhu</surname>, <given-names>T.</given-names></string-name></person-group> <year>2009</year>. <article-title>Water for Agriculture: Maintaining food security under growing scarcity</article-title>. <source>Annual Rev. Env. and Resou.,</source> <volume>34</volume>(<issue>1</issue>).</mixed-citation></ref>
<ref id="R14"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Sharma</surname>, <given-names>H.R.</given-names></string-name>, <string-name><surname>Singh</surname>, <given-names>Kamlesh</given-names></string-name> and <string-name><surname>Kumari</surname>, <given-names>S.</given-names></string-name></person-group> <year>2006</year>. &#x201C;<article-title>Extent and Source of Instability in Food grains Production in India</article-title>&#x201D;, <source>Ind. J. Agril. Econ.</source>, <volume>61</volume>(<issue>4</issue>):<fpage>648</fpage>-<lpage>666</lpage>.</mixed-citation></ref>
<ref id="R15"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Singh</surname>, <given-names>K.M.</given-names></string-name>, <string-name><surname>Singh</surname>, <given-names>R.K.P.</given-names></string-name>, <string-name><surname>Kumar</surname>, <given-names>A.</given-names></string-name>, <string-name><surname>Meena</surname>, <given-names>M.S.</given-names></string-name>, <string-name><surname>Kumar</surname>, <given-names>A.</given-names></string-name>, <string-name><surname>Chahal</surname>, <given-names>V. P.</given-names></string-name></person-group> <year>2015c</year>. <article-title>Implications of labour migration for rice production and household economy: evidences from eastern India</article-title>. <source>Ind. J. Agril. Sci.,</source> <volume>85</volume>(<issue>5</issue>).</mixed-citation></ref>
<ref id="R16"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Singh</surname>, <given-names>R.K.P.</given-names></string-name>, <string-name><surname>Singh</surname>, <given-names>K.M.</given-names></string-name>, <string-name><surname>Kumar</surname>, <given-names>A.</given-names></string-name></person-group> <year>2015b</year>. <article-title>Agricultural Development in Bihar: Some Empirical Evidences</article-title>. <source>Agril. Situation India</source>, <volume>70</volume>(<issue>12</issue>):<fpage>5</fpage>-<lpage>13</lpage>.</mixed-citation></ref>
<ref id="R17"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Singh</surname>, <given-names>R.K.P.</given-names></string-name>, <string-name><surname>Singh</surname>, <given-names>K.M.</given-names></string-name>, <string-name><surname>Kumar</surname>, <given-names>A.</given-names></string-name></person-group> <year>2015a</year>. <article-title>A Study on Adoption of Modern Agricultural Technologies at Farmlevel in Bihar</article-title>. <source>Econ. Affai.,</source> <volume>60</volume>(<issue>1</issue>):<fpage>49</fpage>-<lpage>57</lpage>.</mixed-citation></ref>
<ref id="R18"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Sinha</surname>, <given-names>D.K.</given-names></string-name>, <string-name><surname>Ahmad</surname>, <given-names>N.</given-names></string-name>, <string-name><surname>Singh</surname>, <given-names>K.M.</given-names></string-name></person-group> <year>2016</year>. <article-title>Shrinking Net Sown Area: An Analysis of Changing Land Use Pattern in Bihar</article-title>. <source>J. AgriSearch,</source> <volume>3</volume>(<issue>4</issue>):<fpage>238</fpage>-<lpage>243</lpage>.</mixed-citation></ref>
<ref id="R19"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Sivagnanam</surname>, <given-names>Jothi, K.</given-names></string-name></person-group> <year>2014</year>. <article-title>Spread of New Varieties of Hybrid Rice and its Impact on the Overall Production and Productivity in Tamil Nadu</article-title>. <source>Agro-Economic Research Centre, University of Madras, Chennai-600 005</source>.</mixed-citation></ref>
<ref id="R20"><mixed-citation publication-type="web"><collab>UNFPA</collab>. <year>2010</year>. <article-title>State of world population 2010-from conflict and crisis to renewal: generations of change</article-title>. <source>United Nations Population Fund</source>. Available on <ext-link ext-link-type="uri" xlink:href="http://www. unfpa. org/swp/ 2010/web/en/pdf/ENSOWP10.pdf">http://www. unfpa. org/swp/ 2010/web/en/pdf/ENSOWP10.pdf</ext-link></mixed-citation></ref>
<ref id="R21"><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Van Wart</surname>, <given-names>J.</given-names></string-name>, <string-name><surname>Kersebaun</surname>, <given-names>K.C.</given-names></string-name>, <string-name><surname>Peng</surname>, <given-names>S.</given-names></string-name>, <string-name><surname>Milner</surname>, <given-names>M.</given-names></string-name>, <string-name><surname>Cassman</surname>, <given-names>K.G.</given-names></string-name></person-group> <year>2013</year>. <article-title>Estimating crop yield potential at regional to national scales</article-title>. <source>Field Crops Res.,</source> <volume>143:</volume> <fpage>34</fpage>-<lpage>43</lpage>.</mixed-citation></ref>
</ref-list>
</back>
</article>