Stability Analysis of Sri Lankan Tea Export Markets Using Markov Chain Approach

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dc.contributor.author Kayathiri, T.
dc.contributor.author Laheetharan, A.
dc.date.accessioned 2026-08-25T08:01:31Z
dc.date.available 2026-08-25T08:01:31Z
dc.date.issued 2019
dc.identifier.uri http://drr.vau.ac.lk/handle/123456789/2224
dc.description.abstract Among plantation crops, tea has been playing a significant role in the agrarian economy as it adds substantially to the GDP of thc country. Stability analysis of tea export market by the economic community in any country serves several purposes viz business forecast for wise decisions; the assessment of the growth of the economy; and, the future design of tea plantations. Contribution of the tea production within the agriculture sector leads a dominant role in providing employment opportunities in Sri Lankan economy. "lhe aggregate data of tea export from Sri Lanka to various countries is collected from the Sri Lanka Tea Board and the Central bank reports for the period covers from 2009 to 2017. The objective ofthe study is to analyze the dynamic changes oftea export volume from Sri Lanka to tea markets in different countries employing the Markov chain model. The aggregate data from Markov chain models explain that the present observed proportion of one country is stochastically related to recent past observed proportion of the countries including itself. The transition probabilities are estimated using the non-linear programming technique under the minimization of mean absolute deviation method. In addition, the steady state probabilities and mean recurrence times have been obtained. The results have shown Syria and Iraq as the stable destinations for Sri Lankan tea exports. Ihe other traditional importing countries such as Russia, Turkey and Iran have recorded low retention probabilities, indicating unstable export share to these markets. The long run stable probabilities revealed that Sri Lanka retains the trade partnership with traditional importing countries except Syria. en_US
dc.language.iso en en_US
dc.publisher University of Peradeniya en_US
dc.subject Aggregate data en_US
dc.subject Markov chain en_US
dc.subject Mean recurrence time en_US
dc.subject Tea export en_US
dc.subject Transition probability en_US
dc.title Stability Analysis of Sri Lankan Tea Export Markets Using Markov Chain Approach en_US
dc.type Conference abstract en_US
dc.identifier.proceedings RESCON 2019 en_US
dc.sdg Decent work and economic growth en_US


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