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

Abstract

ABSTRACT

Technical Efficiency of Sorghum Production in Garu District of the Upper East Region, Ghana

“…The reason for this may be because, as the farmer increases in age, he becomes weak in terms of carrying out farm operations thus decreasing technical efficiency. This outcome is similar to the finding of Katungwe, Elepu, and Dzanja (2017) and Kusse, Gemeyida, and Haji (2019) but contradicts the finding of Abdul-Rahaman (2016) who found age to have a positive significant influence on technical efficiency. The coefficient of the level of education variable was negative and significant at 5%.…”

The Technical Efficiency of Small-scale Tea Plantation in Sri Lanka

“…In examining the literature on the variables used for the stochastic frontier production function, research groups (Hong & Yabe, 2015;Katungwe et al, 2017;Priyanath et al, 2018;Kodagoda & Dharmadasa, 2019) conducted studies on measuring the technical efficiency of small-scale tea plantation, where the tea yield is used as the dependent variable and extent of land, labour and fertilizer are commonly used as independent variables in the stochastic production function. Along with the above common variables, Basnayake and Gunaratne (2002) In examining the literature on the variables used for the technical efficiency function, according to Battese and Coelli (1995) the variables such as the age of farmer, experience, education, occupation, type of crop (VP or seedling) and type of clone were used.…”

“…Along with the above common variables, Basnayake and Gunaratne (2002) In examining the literature on the variables used for the technical efficiency function, according to Battese and Coelli (1995) the variables such as the age of farmer, experience, education, occupation, type of crop (VP or seedling) and type of clone were used. In addition to that variables, according to Katungwe et al (2017) the distance from the farm to the tea factory, age of tea bushes, number of family members, type of contract and access to extension services and according to Kodagoda and Dharmadasa (2019) the variables such as gender, access to livestock, other crops grown, number of members in the household and age of tea bushes were used.…”

“…According to the results of the study of the researchers, (Basnayake & Gunaratne, 2002;Katungwe et al, 2017;Priyanath et al, 2018) the variables of labour and fertilizer have a significant positive impact on tea production. Hong and Yabe (2015) point out that labour has a positive impact on tea production.…”

Study on Total Factor Productivity of Chinese Tea Industry and Regional Disparity based on DEA-Malmquist Model

“…Meng calculated the technical efficiency of Chinese agricultural operation by using non-parametric DEA efficiency evaluation method [6]. Fexter studied technical efficiency of smallholder tea production in South-Eastern Malawi [7]. Z. Ghaderi conducted efficiency analysis of traditional tea farms in Iran [8].…”