Farm-level cost of adaptation and expected cost of uncertainty associated with climate change impacts in major river basins in India
Purpose – Researchers and policymakers are figuring out the adaptation technologies to cope with the changing climate. Adaptation strategies for crop production followed by the farmers at selected study locations had ranged from 6-30 per cent only, and this was mainly due to lack of awareness about...
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Veröffentlicht in: | International journal of climate change strategies and management 2015-03, Vol.7 (1), p.76-96 |
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creator | Palanisami, Kuppanan Kakumanu, Krishna Reddy Ranganathan, C.R Udaya Sekhar, Nagothu |
description | Purpose
– Researchers and policymakers are figuring out the adaptation technologies to cope with the changing climate. Adaptation strategies for crop production followed by the farmers at selected study locations had ranged from 6-30 per cent only, and this was mainly due to lack of awareness about the actual cost associated with adaptation and non-adaptation of these strategies.
Design/methodology/approach
– Hence, this study aims to address the cost of adaptation for rice using joint probability distribution of rainfall and crop prices.
Findings
– Cost of adaptation varied from INR2,389 to 4,395/ha for System of Rice Intensification (SRI); INR646 to 1,121/ha for alternate wetting and drying (AWD) and INR8,144 to 8,677/ha for well irrigation (WI), whereas expected cost for not using these technologies has ranged from INR6,976 to 9,172/ha for SRI; INR4,123 7,764/ha for AWD and INR10,825 to 17,270/ha for WI. Hence, promotion of the adaptation technologies itself will minimize the income losses to the farmers.
Research limitations/implications
– Even though, there are many ways for farmers (other than technology), to adapt to climate change (such as out-migration to cities, selling farm assets, focus on children’s education, etc.), this report, given the framework of the major research study undertaken, addresses only farm-level adaptation of the technologies to enhance farm income.
Originality/value
– Public–private partnership in providing the technologies at cheaper costs, capacity building in handling the technologies and creating awareness about the technologies to minimize the expected cost of adaptation are suggested to improve the adoption level. |
doi_str_mv | 10.1108/IJCCSM-04-2013-0059 |
format | Article |
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– Researchers and policymakers are figuring out the adaptation technologies to cope with the changing climate. Adaptation strategies for crop production followed by the farmers at selected study locations had ranged from 6-30 per cent only, and this was mainly due to lack of awareness about the actual cost associated with adaptation and non-adaptation of these strategies.
Design/methodology/approach
– Hence, this study aims to address the cost of adaptation for rice using joint probability distribution of rainfall and crop prices.
Findings
– Cost of adaptation varied from INR2,389 to 4,395/ha for System of Rice Intensification (SRI); INR646 to 1,121/ha for alternate wetting and drying (AWD) and INR8,144 to 8,677/ha for well irrigation (WI), whereas expected cost for not using these technologies has ranged from INR6,976 to 9,172/ha for SRI; INR4,123 7,764/ha for AWD and INR10,825 to 17,270/ha for WI. Hence, promotion of the adaptation technologies itself will minimize the income losses to the farmers.
Research limitations/implications
– Even though, there are many ways for farmers (other than technology), to adapt to climate change (such as out-migration to cities, selling farm assets, focus on children’s education, etc.), this report, given the framework of the major research study undertaken, addresses only farm-level adaptation of the technologies to enhance farm income.
Originality/value
– Public–private partnership in providing the technologies at cheaper costs, capacity building in handling the technologies and creating awareness about the technologies to minimize the expected cost of adaptation are suggested to improve the adoption level.</description><identifier>ISSN: 1756-8692</identifier><identifier>EISSN: 1756-8706</identifier><identifier>DOI: 10.1108/IJCCSM-04-2013-0059</identifier><language>eng</language><publisher>Bingley: Emerald Group Publishing Limited</publisher><subject>Adaptation ; Agricultural economics ; Agricultural production ; Agriculture ; Capacity development ; Climate change ; Crop production ; Drying ; Environmental impact ; Environmental issues ; Farm income ; Farmers ; Farms ; Freshwater ; Greenhouse effect ; Probability distribution ; Probability theory ; Public policy & environmental management ; Rain ; Rainfall ; River basins ; Technology adoption ; Wetting</subject><ispartof>International journal of climate change strategies and management, 2015-03, Vol.7 (1), p.76-96</ispartof><rights>Emerald Group Publishing Limited</rights><rights>Emerald Group Publishing Limited 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-405b2eb3a0cec3a9d60a7997f6ac48e6fb9170243bcf0e19abc991348234d77b3</citedby><cites>FETCH-LOGICAL-c353t-405b2eb3a0cec3a9d60a7997f6ac48e6fb9170243bcf0e19abc991348234d77b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IJCCSM-04-2013-0059/full/pdf$$EPDF$$P50$$Gemerald$$H</linktopdf><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IJCCSM-04-2013-0059/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,966,11634,21694,27850,27923,27924,52685,52687,52688,52690,53243,53371</link.rule.ids><linktorsrc>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IJCCSM-04-2013-0059/full/html$$EView_record_in_Emerald$$FView_record_in_$$GEmerald</linktorsrc></links><search><creatorcontrib>Palanisami, Kuppanan</creatorcontrib><creatorcontrib>Kakumanu, Krishna Reddy</creatorcontrib><creatorcontrib>Ranganathan, C.R</creatorcontrib><creatorcontrib>Udaya Sekhar, Nagothu</creatorcontrib><title>Farm-level cost of adaptation and expected cost of uncertainty associated with climate change impacts in major river basins in India</title><title>International journal of climate change strategies and management</title><description>Purpose
– Researchers and policymakers are figuring out the adaptation technologies to cope with the changing climate. Adaptation strategies for crop production followed by the farmers at selected study locations had ranged from 6-30 per cent only, and this was mainly due to lack of awareness about the actual cost associated with adaptation and non-adaptation of these strategies.
Design/methodology/approach
– Hence, this study aims to address the cost of adaptation for rice using joint probability distribution of rainfall and crop prices.
Findings
– Cost of adaptation varied from INR2,389 to 4,395/ha for System of Rice Intensification (SRI); INR646 to 1,121/ha for alternate wetting and drying (AWD) and INR8,144 to 8,677/ha for well irrigation (WI), whereas expected cost for not using these technologies has ranged from INR6,976 to 9,172/ha for SRI; INR4,123 7,764/ha for AWD and INR10,825 to 17,270/ha for WI. Hence, promotion of the adaptation technologies itself will minimize the income losses to the farmers.
Research limitations/implications
– Even though, there are many ways for farmers (other than technology), to adapt to climate change (such as out-migration to cities, selling farm assets, focus on children’s education, etc.), this report, given the framework of the major research study undertaken, addresses only farm-level adaptation of the technologies to enhance farm income.
Originality/value
– Public–private partnership in providing the technologies at cheaper costs, capacity building in handling the technologies and creating awareness about the technologies to minimize the expected cost of adaptation are suggested to improve the adoption level.</description><subject>Adaptation</subject><subject>Agricultural economics</subject><subject>Agricultural production</subject><subject>Agriculture</subject><subject>Capacity development</subject><subject>Climate change</subject><subject>Crop production</subject><subject>Drying</subject><subject>Environmental impact</subject><subject>Environmental issues</subject><subject>Farm income</subject><subject>Farmers</subject><subject>Farms</subject><subject>Freshwater</subject><subject>Greenhouse effect</subject><subject>Probability distribution</subject><subject>Probability theory</subject><subject>Public policy & environmental management</subject><subject>Rain</subject><subject>Rainfall</subject><subject>River basins</subject><subject>Technology adoption</subject><subject>Wetting</subject><issn>1756-8692</issn><issn>1756-8706</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU1v1DAQhi0EEmXLL-BiiQuXwPgjHz6iFS2LijgUztbEmVCvEjvY3kLv_PBmu4AEEiePZ953PvQw9kLAayGge7P7sN1ef6xAVxKEqgBq84idibZuqq6F5vHvuDHyKXuW8x6gMRraM_bzAtNcTXRLE3cxFx5HjgMuBYuPgWMYOP1YyBUa_tQPwVEq6EO545hzdB6P5e--3HA3-Xn9cXeD4StxPy_oSuY-8Bn3MfHkbynxHrMPD9ldGDyesycjTpme_3o37MvFu8_b99XVp8vd9u1V5VStSqWh7iX1CsGRU2iGBrA1ph0bdLqjZuyNaEFq1bsRSBjsnTFC6U4qPbRtrzbs1anvkuK3A-ViZ58dTRMGiodsV3cNjYQOVunLf6T7eEhh3c5KsaqkNuugDVMnlUsx50SjXdJ6f7qzAuyRjD2RsaDtkYw9klld8uSimRJOw39Mf-FU944vkeQ</recordid><startdate>20150316</startdate><enddate>20150316</enddate><creator>Palanisami, Kuppanan</creator><creator>Kakumanu, Krishna Reddy</creator><creator>Ranganathan, C.R</creator><creator>Udaya Sekhar, Nagothu</creator><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7ST</scope><scope>7TG</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K6~</scope><scope>KL.</scope><scope>L.-</scope><scope>L.0</scope><scope>L.G</scope><scope>M0C</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>PYYUZ</scope><scope>Q9U</scope><scope>SOI</scope><scope>7U6</scope><scope>7UA</scope><scope>H96</scope></search><sort><creationdate>20150316</creationdate><title>Farm-level cost of adaptation and expected cost of uncertainty associated with climate change impacts in major river basins in India</title><author>Palanisami, Kuppanan ; Kakumanu, Krishna Reddy ; Ranganathan, C.R ; Udaya Sekhar, Nagothu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-405b2eb3a0cec3a9d60a7997f6ac48e6fb9170243bcf0e19abc991348234d77b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adaptation</topic><topic>Agricultural economics</topic><topic>Agricultural production</topic><topic>Agriculture</topic><topic>Capacity development</topic><topic>Climate change</topic><topic>Crop production</topic><topic>Drying</topic><topic>Environmental impact</topic><topic>Environmental issues</topic><topic>Farm income</topic><topic>Farmers</topic><topic>Farms</topic><topic>Freshwater</topic><topic>Greenhouse effect</topic><topic>Probability distribution</topic><topic>Probability theory</topic><topic>Public policy & environmental management</topic><topic>Rain</topic><topic>Rainfall</topic><topic>River basins</topic><topic>Technology adoption</topic><topic>Wetting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palanisami, Kuppanan</creatorcontrib><creatorcontrib>Kakumanu, Krishna Reddy</creatorcontrib><creatorcontrib>Ranganathan, C.R</creatorcontrib><creatorcontrib>Udaya Sekhar, Nagothu</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ABI/INFORM Global</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>One Business (ProQuest)</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>Environmental Science Collection</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><jtitle>International journal of climate change strategies and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Palanisami, Kuppanan</au><au>Kakumanu, Krishna Reddy</au><au>Ranganathan, C.R</au><au>Udaya Sekhar, Nagothu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Farm-level cost of adaptation and expected cost of uncertainty associated with climate change impacts in major river basins in India</atitle><jtitle>International journal of climate change strategies and management</jtitle><date>2015-03-16</date><risdate>2015</risdate><volume>7</volume><issue>1</issue><spage>76</spage><epage>96</epage><pages>76-96</pages><issn>1756-8692</issn><eissn>1756-8706</eissn><abstract>Purpose
– Researchers and policymakers are figuring out the adaptation technologies to cope with the changing climate. Adaptation strategies for crop production followed by the farmers at selected study locations had ranged from 6-30 per cent only, and this was mainly due to lack of awareness about the actual cost associated with adaptation and non-adaptation of these strategies.
Design/methodology/approach
– Hence, this study aims to address the cost of adaptation for rice using joint probability distribution of rainfall and crop prices.
Findings
– Cost of adaptation varied from INR2,389 to 4,395/ha for System of Rice Intensification (SRI); INR646 to 1,121/ha for alternate wetting and drying (AWD) and INR8,144 to 8,677/ha for well irrigation (WI), whereas expected cost for not using these technologies has ranged from INR6,976 to 9,172/ha for SRI; INR4,123 7,764/ha for AWD and INR10,825 to 17,270/ha for WI. Hence, promotion of the adaptation technologies itself will minimize the income losses to the farmers.
Research limitations/implications
– Even though, there are many ways for farmers (other than technology), to adapt to climate change (such as out-migration to cities, selling farm assets, focus on children’s education, etc.), this report, given the framework of the major research study undertaken, addresses only farm-level adaptation of the technologies to enhance farm income.
Originality/value
– Public–private partnership in providing the technologies at cheaper costs, capacity building in handling the technologies and creating awareness about the technologies to minimize the expected cost of adaptation are suggested to improve the adoption level.</abstract><cop>Bingley</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/IJCCSM-04-2013-0059</doi><tpages>21</tpages></addata></record> |
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source | Emerald Open Access |
subjects | Adaptation Agricultural economics Agricultural production Agriculture Capacity development Climate change Crop production Drying Environmental impact Environmental issues Farm income Farmers Farms Freshwater Greenhouse effect Probability distribution Probability theory Public policy & environmental management Rain Rainfall River basins Technology adoption Wetting |
title | Farm-level cost of adaptation and expected cost of uncertainty associated with climate change impacts in major river basins in India |
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