Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/6760
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dc.coverage.spatialEconomicsen_US
dc.date.accessioned2013-01-24T12:23:21Z-
dc.date.available2013-01-24T12:23:21Z-
dc.date.issued2013-01-24-
dc.identifier.urihttp://hdl.handle.net/10603/6760-
dc.description.abstractThe present study analyses The Shifts in Cropping Pattern in Kerala by applying the decomposition technique to determine the components of total factor productivity growth and output growth with the help of time series data for Kerala Economy as a whole and district wise for a period of 30 years from 1974-75 to 2003-04 and for three sub periods viz. Period I (1974-75 to 1980-81), Period II (1981-82 to 1991-92) and Period III (1992-93 to 2003-04). The analysis is based on secondary data collected for the State and fourteen districts for major 12 crops- Rice, Tapioca, Coconut, Rubber, Pepper, Cashew nut, Areca nut, Plantains including banana, Cardamom, Coffee, Tea and Ginger- from Statistics for Planning and Economic Review of Government of Kerala. The total factor productivity is decomposed into pure yield effect, pure and interaction effects of cropping pattern and pure and interaction effects of locational effect. The output growth is decomposed into three pure effects viz. yield effect, cropping pattern effect and area effect. The study analyses the trends in area, production and productivity by using exponential trend and applied Herfindahl Index for crop diversification. The findings shows that yield effect and locational effects are the major factors influencing productivity growth and yield effect determines the output growth in the State. Cropping pattern effect is positively related to output growth in Kannur and Alappuzha districts due to shifting of area under food crops to non-food crops and non- agricultural purposes whereas yield effect is the dominant factor in other districts. Positive growth rates in area have been reported in the case of coconut, rubber, pepper, areca nut, plantains and coffee. Productivity growth rates of all crops are positive while negative production growth rates are reported in the case of rice, tapioca and cashew nut. Reason for negative production growth rates can be attributed to reduced area under cultivation.en_US
dc.format.extent298p.en_US
dc.languageEnglishen_US
dc.relation-en_US
dc.rightsuniversityen_US
dc.titleShifts in cropping pattern in Keralaen_US
dc.title.alternative-en_US
dc.creator.researcherGeetha, Pen_US
dc.subject.keywordEconomicsen_US
dc.subject.keywordTotal factor productivityen_US
dc.subject.keywordarea effecen_US
dc.subject.keywordoutput growthen_US
dc.subject.keyworddecompositionen_US
dc.subject.keywordyield effecten_US
dc.subject.keywordcropping pattern effecten_US
dc.subject.keywordlocational effecten_US
dc.subject.keywordcrop diversificationen_US
dc.subject.keywordCropen_US
dc.description.noteBibliography p.289-298en_US
dc.contributor.guideMohanakumar, P Sen_US
dc.publisher.placeKottayamen_US
dc.publisher.universityMahatma Gandhi Universityen_US
dc.publisher.institutionDepartment of Economicsen_US
dc.date.registeredn.d.en_US
dc.date.completedOctober 2006en_US
dc.date.awardedn.d.en_US
dc.format.dimensions-en_US
dc.format.accompanyingmaterialNoneen_US
dc.type.degreePh.D.en_US
dc.source.inflibnetINFLIBNETen_US
Appears in Departments:Department of Economics

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01_title.pdfAttached File19.25 kBAdobe PDFView/Open
02_certificate.pdf17.56 kBAdobe PDFView/Open
03_declaration.pdf16.55 kBAdobe PDFView/Open
04_abstract.pdf12.15 kBAdobe PDFView/Open
05_acknowledgements.pdf16.67 kBAdobe PDFView/Open
06_contents.pdf40.15 kBAdobe PDFView/Open
07_list of tables.pdf35.05 kBAdobe PDFView/Open
08_list of figures.pdf33.59 kBAdobe PDFView/Open
09_chapter 1.pdf397.12 kBAdobe PDFView/Open
10_chapter 2.pdf931.13 kBAdobe PDFView/Open
11_chapter 3.pdf1.03 MBAdobe PDFView/Open
12_chapter 4.pdf1.07 MBAdobe PDFView/Open
13_chapter 5.pdf78.86 kBAdobe PDFView/Open
14_bibliography.pdf100.25 kBAdobe PDFView/Open
15_appendix.pdf326.14 kBAdobe PDFView/Open


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