Assessment of the impact of climate and non-climatic parameters on cocoa production: a contextual analysis for Cameroon

Agriculture remains the mainstay of Cameroon's economy, with cocoa as one of its key export commodities. However, cocoa production may be affected by climate-related stressors. This study assesses the influence of climate and non-climate parameters on cocoa performance in Cameroon. We use time...

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Main Authors: Eric Bomdzele, Ernest L. Molua
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Climate
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fclim.2023.1069514/full
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author Eric Bomdzele
Eric Bomdzele
Eric Bomdzele
Ernest L. Molua
Ernest L. Molua
author_facet Eric Bomdzele
Eric Bomdzele
Eric Bomdzele
Ernest L. Molua
Ernest L. Molua
author_sort Eric Bomdzele
collection DOAJ
description Agriculture remains the mainstay of Cameroon's economy, with cocoa as one of its key export commodities. However, cocoa production may be affected by climate-related stressors. This study assesses the influence of climate and non-climate parameters on cocoa performance in Cameroon. We use time series data for temperature, rainfall, carbon dioxide emission, land use, labour hours, pesticide application, and cocoa output in Cameroon spanning 60 years (1961 to 2021). Trend analyses reveal a stochastic response of crop production under climate variation. Leveraging on the perennial crop supply response framework, a Vector Error Correction Model (VECM) reveals short-term climate impacts on cocoa production. The econometric estimation shows that climate and non-climate parameters explain the variations in cocoa output. More specifically, the short-run results reveal that temperature, carbon dioxide emission, land use, and pesticide quantity significantly increase crop yield, whereas rainfall decreases it substantially. Furthermore, the long-run analysis indicates that temperature, rainfall, carbon dioxide emission, and land use are significant negative determinants of the yearly changes in cocoa output. We recommend government policy reforms which address access to land, subsidies/climate finance and improved production technologies to reduce greenhouse gas emissions and enhance farmers' adaptive capacities to climatic stressors.
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spelling doaj.art-e8a62b01f0f4446eab9f08e655c357a52023-06-15T05:53:09ZengFrontiers Media S.A.Frontiers in Climate2624-95532023-06-01510.3389/fclim.2023.10695141069514Assessment of the impact of climate and non-climatic parameters on cocoa production: a contextual analysis for CameroonEric Bomdzele0Eric Bomdzele1Eric Bomdzele2Ernest L. Molua3Ernest L. Molua4Department of Agricultural Economics and Agribusiness, Faculty of Agriculture and Veterinary Medicine, University of Buea, Buea, CameroonGraduate Institute of International Development and Applied Economics (GIIDAE), University of Reading, Reading, United KingdomCentre for Independent Development Research (CIDR), Clerks Quarter, Buea, CameroonDepartment of Agricultural Economics and Agribusiness, Faculty of Agriculture and Veterinary Medicine, University of Buea, Buea, CameroonCentre for Independent Development Research (CIDR), Clerks Quarter, Buea, CameroonAgriculture remains the mainstay of Cameroon's economy, with cocoa as one of its key export commodities. However, cocoa production may be affected by climate-related stressors. This study assesses the influence of climate and non-climate parameters on cocoa performance in Cameroon. We use time series data for temperature, rainfall, carbon dioxide emission, land use, labour hours, pesticide application, and cocoa output in Cameroon spanning 60 years (1961 to 2021). Trend analyses reveal a stochastic response of crop production under climate variation. Leveraging on the perennial crop supply response framework, a Vector Error Correction Model (VECM) reveals short-term climate impacts on cocoa production. The econometric estimation shows that climate and non-climate parameters explain the variations in cocoa output. More specifically, the short-run results reveal that temperature, carbon dioxide emission, land use, and pesticide quantity significantly increase crop yield, whereas rainfall decreases it substantially. Furthermore, the long-run analysis indicates that temperature, rainfall, carbon dioxide emission, and land use are significant negative determinants of the yearly changes in cocoa output. We recommend government policy reforms which address access to land, subsidies/climate finance and improved production technologies to reduce greenhouse gas emissions and enhance farmers' adaptive capacities to climatic stressors.https://www.frontiersin.org/articles/10.3389/fclim.2023.1069514/fullclimate changecocoasupply response modelVector Error Correction Modelclimate-smart agriculturecameroon
spellingShingle Eric Bomdzele
Eric Bomdzele
Eric Bomdzele
Ernest L. Molua
Ernest L. Molua
Assessment of the impact of climate and non-climatic parameters on cocoa production: a contextual analysis for Cameroon
Frontiers in Climate
climate change
cocoa
supply response model
Vector Error Correction Model
climate-smart agriculture
cameroon
title Assessment of the impact of climate and non-climatic parameters on cocoa production: a contextual analysis for Cameroon
title_full Assessment of the impact of climate and non-climatic parameters on cocoa production: a contextual analysis for Cameroon
title_fullStr Assessment of the impact of climate and non-climatic parameters on cocoa production: a contextual analysis for Cameroon
title_full_unstemmed Assessment of the impact of climate and non-climatic parameters on cocoa production: a contextual analysis for Cameroon
title_short Assessment of the impact of climate and non-climatic parameters on cocoa production: a contextual analysis for Cameroon
title_sort assessment of the impact of climate and non climatic parameters on cocoa production a contextual analysis for cameroon
topic climate change
cocoa
supply response model
Vector Error Correction Model
climate-smart agriculture
cameroon
url https://www.frontiersin.org/articles/10.3389/fclim.2023.1069514/full
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