Tea Production Response to Climate Change in Kenya: An Autoregressive Distributed Lag Approach.
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Date
2022-01
Authors
Kariuki, George Mbugua
Njaramba, Jennifer
Ombuki, Charles
Journal Title
Journal ISSN
Volume Title
Publisher
African Journal of Economic Review
Abstract
Tea sector plays a critical role in socio economic development in Kenya. It is a leading foreign
exchange earner, a major source of livelihood for most rural communities and significantly
contributes to poverty reduction. However, in the last three decades there has been , unstable trends
in tea production that has been linked to climate driven stresses. Over the last two decades, tea
producing areas in Kenya have been exposed to extreme climate events that include temperature
rise, eractic rainfall and growing incidence of extreme weather events such as hail storms, drought
and frost. These events are expected to have adverse effects on the largely rainfed tea production
with potentially irreversible socio economic effects. This study sought to ascertain the effects of
climate change on tea production in Kenya while controlling for economic incentives. The study
adopted the Autoregressive distributed lag econometric modeling approach using data for the
period between 1979 and 2019. The findings indicate that rainfall being experienced in the usual
dry period of January and February, price of tea, and area under tea crop, have a positive and
significant effect on tea production. However, rainfall variability, rainfall amount in extended long
rain periods, maximum temperature, spending on agricultural development, real effective
exchange rate, and price of fertilizer have a negative effect on tea production. Given the negative
effects of climate change on tea production, there is a need for collaborative efforts towards
developing definite, viable and sustainable adaptation options targeting tea farming.
Description
A Research Article in the African Journal of Economic Review
Keywords
Tea production, Climate Change, ARDL, Rainfall Variability, Temperature Variability
Citation
Kariuki, G. M., Njaramba, J., & Ombuki, C. (2022). Tea Production Response to Climate Change in Kenya: An Autoregressive Distributed Lag Approach. African Journal of Economic Review, 10(1), 2-26.