The economics of climate change vulnerability, adaptation and mitigation in Tanzania

Simple item page
dc.contributor.advisorMuchapondwa, Edwinen_ZA
dc.contributor.authorKomba, Corethaen_ZA
dc.date.accessioned2015-05-26T14:13:48Z
dc.date.available2015-05-26T14:13:48Z
dc.date.issued2014en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractIn Sub-Saharan Africa, climate change is set to hit the agricultural sector the most severely and cause suffering particularly for smallholder farmers. To cushion themselves against potential welfare losses, smallholder farmers need to recognize the changes already taking place in their climate and undertake appropriate investments in adaptation. This study investigates whether these smallholder farmers in Tanzania recognize climate change and, consequently, adapt to it in their agricultural activities. The study also investigates the factors influencing their choice of adaptation methods. In order to achieve this, the study analysed data from 534 randomly selected households in a sample of districts representing the six of the seven agro-ecological regions of the country. The data shows that Tanzanian smallholder farmers have observed changes in mean and variance precipitation and temperature and responded to it. The farmers have generally used short-season crops, drought-resistant crops, irrigation, changing planting dates and tree planting to adapt to the negative impacts of climate change on their agricultural yields. In this study, selection bias is corrected using a Heckman sample selection model. A binary probit model is used as a selection equation to investigate the factors influencing a farmer’s decision to undertake any adaptation at all to climate change while a multinomial probit model is used as an outcome equation to investigate the factors influencing farmers’ choice of specific adaptation methods. The inverse Mill’s ratio reported selection bias in choosing three of the adaptation methods. The findings of the study suggest that the Tanzanian government needs to assist smallholder farmers overcome the constraints they face in their attempts to adapt. The government can play a significant role by promoting adaptation methods appropriate for particular circumstances e.g. particular crops for different agro-ecological zones.en_ZA
dc.identifier.apacitationKomba, C. (2014). <i>The economics of climate change vulnerability, adaptation and mitigation in Tanzania</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,School of Economics. Retrieved from http://hdl.handle.net/11427/12867en_ZA
dc.identifier.chicagocitationKomba, Coretha. <i>"The economics of climate change vulnerability, adaptation and mitigation in Tanzania."</i> Thesis., University of Cape Town ,Faculty of Commerce ,School of Economics, 2014. http://hdl.handle.net/11427/12867en_ZA
dc.identifier.citationKomba, C. 2014. The economics of climate change vulnerability, adaptation and mitigation in Tanzania. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Komba, Coretha AB - In Sub-Saharan Africa, climate change is set to hit the agricultural sector the most severely and cause suffering particularly for smallholder farmers. To cushion themselves against potential welfare losses, smallholder farmers need to recognize the changes already taking place in their climate and undertake appropriate investments in adaptation. This study investigates whether these smallholder farmers in Tanzania recognize climate change and, consequently, adapt to it in their agricultural activities. The study also investigates the factors influencing their choice of adaptation methods. In order to achieve this, the study analysed data from 534 randomly selected households in a sample of districts representing the six of the seven agro-ecological regions of the country. The data shows that Tanzanian smallholder farmers have observed changes in mean and variance precipitation and temperature and responded to it. The farmers have generally used short-season crops, drought-resistant crops, irrigation, changing planting dates and tree planting to adapt to the negative impacts of climate change on their agricultural yields. In this study, selection bias is corrected using a Heckman sample selection model. A binary probit model is used as a selection equation to investigate the factors influencing a farmer’s decision to undertake any adaptation at all to climate change while a multinomial probit model is used as an outcome equation to investigate the factors influencing farmers’ choice of specific adaptation methods. The inverse Mill’s ratio reported selection bias in choosing three of the adaptation methods. The findings of the study suggest that the Tanzanian government needs to assist smallholder farmers overcome the constraints they face in their attempts to adapt. The government can play a significant role by promoting adaptation methods appropriate for particular circumstances e.g. particular crops for different agro-ecological zones. DA - 2014 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 T1 - The economics of climate change vulnerability, adaptation and mitigation in Tanzania TI - The economics of climate change vulnerability, adaptation and mitigation in Tanzania UR - http://hdl.handle.net/11427/12867 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/12867
dc.identifier.vancouvercitationKomba C. The economics of climate change vulnerability, adaptation and mitigation in Tanzania. [Thesis]. University of Cape Town ,Faculty of Commerce ,School of Economics, 2014 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/12867en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentSchool of Economicsen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherEconomicsen_ZA
dc.titleThe economics of climate change vulnerability, adaptation and mitigation in Tanzaniaen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_com_2014_komba_c.pdf
Size:
4.11 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
PhD / Doctoral