2015
DOI: 10.1007/s10113-015-0774-5
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Impact of climate change on agricultural production of Odisha (India): a Ricardian analysis

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Cited by 41 publications
(28 citation statements)
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“…However, a limited number of studies applied the Ricardian framework in the context of Indian agriculture. Some of the studies using cross-sectional models include Dinar et al (1998), Sanghi and Mendelsohn (2008), Kumar (2011), Kar and Das (2015), and Mishra, Sahu, and Sahoo (2016). Furthermore, a systematic study has done by Kumar and Parikh (2001) to evaluate the impact of climate sensitivity on crop productivity in Indian agriculture.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, a limited number of studies applied the Ricardian framework in the context of Indian agriculture. Some of the studies using cross-sectional models include Dinar et al (1998), Sanghi and Mendelsohn (2008), Kumar (2011), Kar and Das (2015), and Mishra, Sahu, and Sahoo (2016). Furthermore, a systematic study has done by Kumar and Parikh (2001) to evaluate the impact of climate sensitivity on crop productivity in Indian agriculture.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Although the agriculture and allied sectors contribute only 15.39% to the gross state domestic product (GSDP), it provides direct and indirect livelihood opportunities to approximately 60% of the total workforce (Mishra et al 2016). Rice is grown in 68% of the 6.6 million hectare gross cropped area (Government of Odisha 2013).…”
Section: Climate and Flood Scenariomentioning
confidence: 99%
“…To date, no study has been conducted to measure the economic impacts of climate change on overall crop farming in Bangladesh. Some studies have already been conducted in the neighboring IJCCSM 11,3 countries such as Sri Lanka, India and Pakistan to assess the economic impacts of climate change on agriculture (Seo et al, 2005;Kumar, 2011;Mishra et al, 2015;Arshad et al, 2016). All the studies reported the significant impacts of climate change on agriculture, but a wide variability in loss and gain in different regions.…”
Section: Introductionmentioning
confidence: 99%