Risks in Rainfed Agriculture and Farmers' Adaptation Practices: A Case of Cotton Farmers of Maharashtra
The present study aims to profile the risks faced by the rainfed farmers and the management strategies adopted by them based on a field survey of 244 cotton farmers of Maharashtra. The farmers in the region face risk mainly due to late onset of monsoon and less rainfall, pest and disease incidence,...
Gespeichert in:
| Veröffentlicht in: | The Indian journal of agricultural economics 2017-07, Vol.72 (3), p.362-374 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 374 |
|---|---|
| container_issue | 3 |
| container_start_page | 362 |
| container_title | The Indian journal of agricultural economics |
| container_volume | 72 |
| creator | Suresh, A Praveen, K V Reddy, A Amarender Singh, D R |
| description | The present study aims to profile the risks faced by the rainfed farmers and the management strategies adopted by them based on a field survey of 244 cotton farmers of Maharashtra. The farmers in the region face risk mainly due to late onset of monsoon and less rainfall, pest and disease incidence, availability and poor quality of inputs and variability in prices. They also undertake various strategies to minimise the risk, either ex ante or ex post, and the extent of adoption of these strategies varies among the small and large farmer categories. The correlates of adoption of selected risk management strategies are traced using Logit and Tobit regression. While the size of operational holding, area under irrigation, and education of the farmers affect mixed farming positively, diversification is positively affected by the area under cotton, number of plots and accessibility to non-farm income. Total area under irrigation, value of assets and the regional advantage helps in micro-irrigation. Interestingly, farmers who avail noninstitutional source have higher probability of adoption of crop insurance. Migration, the key ex post strategy is positively influenced by the number of male members and negatively by the dependent family members, size of operational holding and education. |
| format | Article |
| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2385338862</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2385338862</sourcerecordid><originalsourceid>FETCH-LOGICAL-p131t-528672a7354e7bcdbd5be4617ed99c912270b03a75c57d874d68b7a987342f403</originalsourceid><addsrcrecordid>eNotjc1Kw0AYRWehYK2-wwcuXAXmNzNxF4JVoaIUXZdvftJOrUmcmby_Fbu6cM_l3AuyoJQ1laJMXpHrnA-UUmNEvSC7TcxfGeIAG4xDHzy0uxTdfCxzCoCDhxWm75DyPbQep4IljgO8J3QlupAfoIUOc4Cxh24s5cTO-7_mFfeYMO9Lwhty2eMxh9tzLsnn6vGje67Wb08vXbuuJiZYqRQ3teaohZJBW-etVzbImungm8Y1jHNNLRWolVPaGy19bazGxmgheS-pWJK7f--Uxp855LI9jHMaTpdbLowSwpiai1-Q-VDT</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2385338862</pqid></control><display><type>article</type><title>Risks in Rainfed Agriculture and Farmers' Adaptation Practices: A Case of Cotton Farmers of Maharashtra</title><source>AgEcon</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Suresh, A ; Praveen, K V ; Reddy, A Amarender ; Singh, D R</creator><creatorcontrib>Suresh, A ; Praveen, K V ; Reddy, A Amarender ; Singh, D R</creatorcontrib><description>The present study aims to profile the risks faced by the rainfed farmers and the management strategies adopted by them based on a field survey of 244 cotton farmers of Maharashtra. The farmers in the region face risk mainly due to late onset of monsoon and less rainfall, pest and disease incidence, availability and poor quality of inputs and variability in prices. They also undertake various strategies to minimise the risk, either ex ante or ex post, and the extent of adoption of these strategies varies among the small and large farmer categories. The correlates of adoption of selected risk management strategies are traced using Logit and Tobit regression. While the size of operational holding, area under irrigation, and education of the farmers affect mixed farming positively, diversification is positively affected by the area under cotton, number of plots and accessibility to non-farm income. Total area under irrigation, value of assets and the regional advantage helps in micro-irrigation. Interestingly, farmers who avail noninstitutional source have higher probability of adoption of crop insurance. Migration, the key ex post strategy is positively influenced by the number of male members and negatively by the dependent family members, size of operational holding and education.</description><identifier>ISSN: 0019-5014</identifier><language>eng</language><publisher>Bombay: Indian Society of Agricultural Economics</publisher><subject>Access ; Adaptation ; Adoption ; Age of onset ; Agricultural practices ; Agriculture ; Cotton ; Crop insurance ; Diversification ; Education ; Farm income ; Farm management ; Farmers ; Households ; Insurance ; Irrigation ; Livestock ; Prices ; Principal components analysis ; Rainfall ; Rainfed farming ; Relatives ; Risk management ; Statistical analysis ; Variability ; Wind</subject><ispartof>The Indian journal of agricultural economics, 2017-07, Vol.72 (3), p.362-374</ispartof><rights>Copyright Indian Society of Agricultural Economics Jul-Sep 2017</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Suresh, A</creatorcontrib><creatorcontrib>Praveen, K V</creatorcontrib><creatorcontrib>Reddy, A Amarender</creatorcontrib><creatorcontrib>Singh, D R</creatorcontrib><title>Risks in Rainfed Agriculture and Farmers' Adaptation Practices: A Case of Cotton Farmers of Maharashtra</title><title>The Indian journal of agricultural economics</title><description>The present study aims to profile the risks faced by the rainfed farmers and the management strategies adopted by them based on a field survey of 244 cotton farmers of Maharashtra. The farmers in the region face risk mainly due to late onset of monsoon and less rainfall, pest and disease incidence, availability and poor quality of inputs and variability in prices. They also undertake various strategies to minimise the risk, either ex ante or ex post, and the extent of adoption of these strategies varies among the small and large farmer categories. The correlates of adoption of selected risk management strategies are traced using Logit and Tobit regression. While the size of operational holding, area under irrigation, and education of the farmers affect mixed farming positively, diversification is positively affected by the area under cotton, number of plots and accessibility to non-farm income. Total area under irrigation, value of assets and the regional advantage helps in micro-irrigation. Interestingly, farmers who avail noninstitutional source have higher probability of adoption of crop insurance. Migration, the key ex post strategy is positively influenced by the number of male members and negatively by the dependent family members, size of operational holding and education.</description><subject>Access</subject><subject>Adaptation</subject><subject>Adoption</subject><subject>Age of onset</subject><subject>Agricultural practices</subject><subject>Agriculture</subject><subject>Cotton</subject><subject>Crop insurance</subject><subject>Diversification</subject><subject>Education</subject><subject>Farm income</subject><subject>Farm management</subject><subject>Farmers</subject><subject>Households</subject><subject>Insurance</subject><subject>Irrigation</subject><subject>Livestock</subject><subject>Prices</subject><subject>Principal components analysis</subject><subject>Rainfall</subject><subject>Rainfed farming</subject><subject>Relatives</subject><subject>Risk management</subject><subject>Statistical analysis</subject><subject>Variability</subject><subject>Wind</subject><issn>0019-5014</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNotjc1Kw0AYRWehYK2-wwcuXAXmNzNxF4JVoaIUXZdvftJOrUmcmby_Fbu6cM_l3AuyoJQ1laJMXpHrnA-UUmNEvSC7TcxfGeIAG4xDHzy0uxTdfCxzCoCDhxWm75DyPbQep4IljgO8J3QlupAfoIUOc4Cxh24s5cTO-7_mFfeYMO9Lwhty2eMxh9tzLsnn6vGje67Wb08vXbuuJiZYqRQ3teaohZJBW-etVzbImungm8Y1jHNNLRWolVPaGy19bazGxmgheS-pWJK7f--Uxp855LI9jHMaTpdbLowSwpiai1-Q-VDT</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Suresh, A</creator><creator>Praveen, K V</creator><creator>Reddy, A Amarender</creator><creator>Singh, D R</creator><general>Indian Society of Agricultural Economics</general><scope>04Q</scope><scope>04S</scope><scope>04W</scope><scope>3V.</scope><scope>4S-</scope><scope>7RO</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X2</scope><scope>7XB</scope><scope>87Z</scope><scope>8AI</scope><scope>8BJ</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AXJJW</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FREBS</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0K</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20170701</creationdate><title>Risks in Rainfed Agriculture and Farmers' Adaptation Practices: A Case of Cotton Farmers of Maharashtra</title><author>Suresh, A ; Praveen, K V ; Reddy, A Amarender ; Singh, D R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p131t-528672a7354e7bcdbd5be4617ed99c912270b03a75c57d874d68b7a987342f403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Access</topic><topic>Adaptation</topic><topic>Adoption</topic><topic>Age of onset</topic><topic>Agricultural practices</topic><topic>Agriculture</topic><topic>Cotton</topic><topic>Crop insurance</topic><topic>Diversification</topic><topic>Education</topic><topic>Farm income</topic><topic>Farm management</topic><topic>Farmers</topic><topic>Households</topic><topic>Insurance</topic><topic>Irrigation</topic><topic>Livestock</topic><topic>Prices</topic><topic>Principal components analysis</topic><topic>Rainfall</topic><topic>Rainfed farming</topic><topic>Relatives</topic><topic>Risk management</topic><topic>Statistical analysis</topic><topic>Variability</topic><topic>Wind</topic><toplevel>online_resources</toplevel><creatorcontrib>Suresh, A</creatorcontrib><creatorcontrib>Praveen, K V</creatorcontrib><creatorcontrib>Reddy, A Amarender</creatorcontrib><creatorcontrib>Singh, D R</creatorcontrib><collection>India Database</collection><collection>India Database: Business</collection><collection>India Database: Science & Technology</collection><collection>ProQuest Central (Corporate)</collection><collection>BPIR.com Limited</collection><collection>Asian Business Database</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Asian Business Database (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>Asian & European Business Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Asian & European Business Collection (Alumni)</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>The Indian journal of agricultural economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Suresh, A</au><au>Praveen, K V</au><au>Reddy, A Amarender</au><au>Singh, D R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risks in Rainfed Agriculture and Farmers' Adaptation Practices: A Case of Cotton Farmers of Maharashtra</atitle><jtitle>The Indian journal of agricultural economics</jtitle><date>2017-07-01</date><risdate>2017</risdate><volume>72</volume><issue>3</issue><spage>362</spage><epage>374</epage><pages>362-374</pages><issn>0019-5014</issn><abstract>The present study aims to profile the risks faced by the rainfed farmers and the management strategies adopted by them based on a field survey of 244 cotton farmers of Maharashtra. The farmers in the region face risk mainly due to late onset of monsoon and less rainfall, pest and disease incidence, availability and poor quality of inputs and variability in prices. They also undertake various strategies to minimise the risk, either ex ante or ex post, and the extent of adoption of these strategies varies among the small and large farmer categories. The correlates of adoption of selected risk management strategies are traced using Logit and Tobit regression. While the size of operational holding, area under irrigation, and education of the farmers affect mixed farming positively, diversification is positively affected by the area under cotton, number of plots and accessibility to non-farm income. Total area under irrigation, value of assets and the regional advantage helps in micro-irrigation. Interestingly, farmers who avail noninstitutional source have higher probability of adoption of crop insurance. Migration, the key ex post strategy is positively influenced by the number of male members and negatively by the dependent family members, size of operational holding and education.</abstract><cop>Bombay</cop><pub>Indian Society of Agricultural Economics</pub><tpages>13</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0019-5014 |
| ispartof | The Indian journal of agricultural economics, 2017-07, Vol.72 (3), p.362-374 |
| issn | 0019-5014 |
| language | eng |
| recordid | cdi_proquest_journals_2385338862 |
| source | AgEcon; EZB-FREE-00999 freely available EZB journals |
| subjects | Access Adaptation Adoption Age of onset Agricultural practices Agriculture Cotton Crop insurance Diversification Education Farm income Farm management Farmers Households Insurance Irrigation Livestock Prices Principal components analysis Rainfall Rainfed farming Relatives Risk management Statistical analysis Variability Wind |
| title | Risks in Rainfed Agriculture and Farmers' Adaptation Practices: A Case of Cotton Farmers of Maharashtra |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T10%3A38%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Risks%20in%20Rainfed%20Agriculture%20and%20Farmers'%20Adaptation%20Practices:%20A%20Case%20of%20Cotton%20Farmers%20of%20Maharashtra&rft.jtitle=The%20Indian%20journal%20of%20agricultural%20economics&rft.au=Suresh,%20A&rft.date=2017-07-01&rft.volume=72&rft.issue=3&rft.spage=362&rft.epage=374&rft.pages=362-374&rft.issn=0019-5014&rft_id=info:doi/&rft_dat=%3Cproquest%3E2385338862%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2385338862&rft_id=info:pmid/&rfr_iscdi=true |