Sabaragamuwa University of Sri Lanka

Technical Effi ciency of Smallholder Tea Production in South-Eastern Malawi: A Stochastic Frontier Approach

Show simple item record Katungwe, Fexter Elepu, Gabriel Dzanja, Joseph 2021-01-08T09:46:43Z 2021-01-08T09:46:43Z 2017-09
dc.description.abstract Tea production contributes 8.8% of foreign exchange earnings in Malawi. A study was undertaken in South-Eastern Malawi to understand the smallholder tea production system, estimate its technical effi ciency and establish sources of technical ineffi ciency. A multi-stage sampling technique was employed to select 230 smallholder tea farmers, who participated in the study. Data analysis was done using SPSS and STATA. Smallholder tea production was characterised using descriptive statistics. A Cobb-Douglas Stochastic frontier model and Tobit Regression model were run in STATA to determine technical effi ciency and sources of technical ineffi ciency respectively. The study found that the technical effi ciency of smallholder tea farmers ranged from 16% to 92% with a mean of 67%. Education, distance to factory and farming experience signifi cantly reduced technical ineffi ciency at 1%, 5% and 10% level respectively; and ineffi ciency was relatively low among farmers that utilised hired labour, and high among those that were contracted by government cooperative. Access to non-tea income was not a source of technical ineffi ciency. The fi ndings of the study imply that various policies on extension and training have to be implemented to increase the knowledge of the smallholder tea farmers to ensure increased technical effi ciency. Smallholder tea farmers should also be facilitated to access labour-saving technologies to enable them carry out timely farm operations. en_US
dc.language.iso en_US en_US
dc.publisher Belihuloya,Sabaragamuwa University of Sri Lanka en_US
dc.subject Tea en_US
dc.subject smallholder en_US
dc.subject technical effi ciency en_US
dc.title Technical Effi ciency of Smallholder Tea Production in South-Eastern Malawi: A Stochastic Frontier Approach en_US
dc.type Article en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search


My Account