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dc.contributor.advisor Abeysooriya, RP
dc.contributor.author Dissanayake, AKA
dc.date.accessioned 2024-08-12T05:59:01Z
dc.date.available 2024-08-12T05:59:01Z
dc.date.issued 2023
dc.identifier.citation Dissanayake, A.K.A. (2023). An Analysis of trade dynamics of Sri Lankan tea exports [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/22647
dc.identifier.uri http://dl.lib.uom.lk/handle/123/22647
dc.description.abstract Tea exports significantly contribute to the Sri Lankan economy since it is one of the major agricultural export crops in this island nation. Even though Sri Lanka is one of the leading tea exporting nations in the world, the percentage share of Ceylon tea in the global tea market has been gradually decreased over the years. With this background, this study aims to comprehensively investigate the growth patterns, instability, influential factors, and future predictions of tea exports to propose recommendations to improve the tea export industry in Sri Lanka. Secondary data were mainly used in this study. The Compound Annual Growth Rate Analysis was employed to measure growth rates in production and exports of Sri Lankan tea while instability in production and export indicators of tea in Sri Lanka were calculated by using Cuddy Della Valle Index. The Sri Lankan tea export quantity was modelled and predicted by applying forecasting techniques as Seasonal Autoregressive Integrated Moving Average, Gaussian Hidden Markov Model, and Multilayer Perceptron. Sri Lankan tea exports has shown negative growth while tea export value has depicted positive growth during the period from 2011 to 2022. In the same time Iraq was the most stable market for Sri Lankan tea exports. The comparison of the prediction accuracy of various forecasting techniques in tea export quantity prediction was revealed that the Multilayer Perceptron was performed better than other techniques employed in this study. Tea export types as bulk tea, tea packets, and tea bags as well as year majorly affect on the future predictions of Sri Lankan tea export quantity in order to the data series which was applied for this study. The study findings will be useful for researchers, policy makers, exporters, and other relevant authorities. Further research efforts are recommended to do for tea export prices and earnings. en_US
dc.language.iso en en_US
dc.subject GROWTH, INSTABILITY en_US
dc.subject ARTIFICIAL NEURAL NETWORK en_US
dc.subject TEA EXPORTS en_US
dc.subject TIME SERIES FORECASTING en_US
dc.subject MATHEMATICS- Dissertation en_US
dc.subject BUSINESS STATISTICS – Dissertation en_US
dc.title An Analysis of trade dynamics of Sri Lankan tea exports en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree MSc in Business Statistics en_US
dc.identifier.department Department of Mathematics en_US
dc.date.accept 2023
dc.identifier.accno TH5367 en_US


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