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Agriculture typically plays a larger role in developing economies than in the developed world. For example, agriculture in India makes up roughly 20% of GDP and provides nearly 52% of employment (as compared to 1% of GDP and 2% of employment for the US), with the majority of agricultural workers drawn from proper segments of the population (FAO, 2006). Furthermore, it is reasonable to expect that farmers in developing countries may be less able to adapt to climate change due to credit constraints or less access to adaptation technology. However, the majority of the literature on the impact of climate change has focused on developed countries, in particular the US, presumably for reason of data availability. Most research in developing countries has followed the production function approach, finding alarmingly large possible impacts (Cruz et al, 2007). A true Ricardian study world be difficult to carry out in a developing country context, because land markets are less likely to be well-functioning and data on land prices are not generally available. Instead, a semi-Ricardian approach has used data on average profits instead-the idea is that the land price, if it were available, would just be the present discounted value of profits. The major developing country semi- Ricardian studies, of India and Brazil, found significant negative effects, with a moderate climate change scenario (an increase of 2.00 C in mean temperature and seven percent increase in precipitation) leading to losses on the order of 10% of agricultural profits (Sanghi et. al., 1998b, 1997).
Keywords:
CLIMATE CHANGE , FOOD SECURITY, WESTERN RAJASTHAN
Cite Article:
"A STUDY ON VARIABLES OF CLIMATE CHANGE ON FOOD SECURITY IN WESTERN RAJASTHAN (WITH SPECIAL REFERENCE TO JODHPUR DISTRICT)", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.509 - 512, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208084.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator