Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia

Aneteneh Shiferaw; Demelash Kefale

doi:doi:10.11648/j.frontiers.20210104.12

| Peer-Reviewed

Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia

Aneteneh Shiferaw, Demelash Kefale

Published in Frontiers (Volume 1, Issue 4)

Received: 1 September 2021 Accepted: 11 November 2021 Published: 17 November 2021

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

This study was carried out with the objective of examining the extent of climate variability and its effect on coffee production and identifying determinants for farmers’ decisions to undertake adaptation measures in Dara woreda. A multistage sampling technique was employed to select peasant association. Qualitative data were gathered through focus group discussion, key informant’s interviews and quantitative data were also collected from 145 sample households. Logit model was used to identify the determinants for farmer’s decisions on adaptation measures, while linear regression and Pearson’s correlation were used to identify relationships and effects of climatic variables on coffee production. The results of this study reviled that, 93% of the respondents perceives the existence of reduction in rainfall, while 85% believes an increase in temperature over the last 20 years. The analysis of linear trend also show not only inter-annual and seasonal variability, but also a decreasing trend of rainfall in the area. The meteorological data also confirmed the increase in both maximum and minimum temperatures. Similarly, the annual yield of coffee productivity showed a decreasing tendency in the area for the period 1995-2014. Besides, the results of linear regression showed that, the amount of rainfall received and increased temperature significantly affected coffee production. Similarly Pearson’s correlations indicated negative relationship between temperature and coffee yield, and strong correlation between rainfall and coffee yield. On the other hand, results of the logit regression model illustrated that; education level, farm size, access to credit service and family size being the major determinants for the farmers’ decisions on adaptation measures in the area. Thus it would be vital to acknowledge the impacts of climate variability on coffee production in Dara woreda and considere the determinant factors to implement appropriate adaptation measures in order to address the impacts of climate change and variability in the area.

Published in	Frontiers (Volume 1, Issue 4)
DOI	10.11648/j.frontiers.20210104.12
Page(s)	54-64
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Adaptation, Climate Change, Dara Woreda, Logit Model

References

[1]	ATA, 2016. Progress report covering 2011-2015 in the GTP-1 period, Addis Ababa, Ethiopia: Agricultural Transformation Agency (ATA).
[2]	Christopher, N. J. (2015). Unabated global mean sea-level rise over the satellite altimeter era. NATURE CLIMATE CHANGE, p565–568.
[3]	CSA. (2010). Agricultural sample survey. Report on land utilization. Addis Ababa, Ethiopia: Federal Democratic Republic of Ethiopia.
[4]	DaMatta, F. M., Ronchi, C. P., Maestri, M., Barros, R. S., 2008. Ecophysiology of coffee growth and production. Braz. J. Plant Physiol. 19, 485–510.
[5]	Deressa Temessgen (2009). Determinants of farmers’ choice of adaptation methods to climate change in the Nile Basin of Ethiopia. Journal global environmental change, p248-255.
[6]	Di Falco S, V. M. (2011). Does adaptation to climate change provide food security Micro perspective from Ethiopia? American Journal of Agricultural Economics, p12-14.
[7]	FAOSTAT, 2014. .
[8]	Gay, C., Estrada, F., Conde, C., Eakin, H., Villers, L., 2006. Potential impacts of climate change on agriculture: a case of study of coffee production in Veracruz, Mexico. Clim. Change 79, 259–288
[9]	Gebremichael, A., Quraishi, S. and Mamo, G., 2014. Analysis of Seasonal Rainfall Variability for Agricultural Water Resource Management in Southern Region, Ethiopia. Journal of Natural Sciences Research, 4 (11), pp. 56-79.
[10]	Gujarati, D. (2004). Basic Econometrics. Fourth edition. McGraw-Hill Company.
[11]	Gurung, G. B. (2008). An integrated approach to climate change adaptation. Kathmandu, Nepal. LEISA M AGAZINE.
[12]	IPCC. (2007). Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.
[13]	Jaramillo, J., Muchugu, E., Vega, F. E., Davis, A., Borgemeister, C., & Chabi-Olaye, a. A. (2011). The Influence and Implications of Climate Change on Coffee Berry Borer (Hypothenemus hampei) and Coffee Production in East Africa. PLOSE One, p16.
[14]	Jaramillo, J., Setamou, M., Muchugu, E., Chabi-Olaye, A., Jaramillo, A., 2013. Climate change or urbanization? Impacts on a traditional coffee production system in East Africa over the last 80 years. PLoS One 8, 1–10
[15]	Kifle Belachew (2015). Climatic Variables and Impact of Coffee Berry Diseases in Ethiopian Coffee Production. Jimma, Ethiopia: Ethiopian Institute of Agricultural Research, Jimma National Coffee Research Centre.
[16]	Lemeshow. (1988). Refining intensive care unit outcome prediction by using changing probability of mortality. Crite care medical, p470-477.
[17]	Lobell, D. B., Hammer, G. L., McLean, G., Messina, C., Roberts, M. J., Schlenker, W., 2013. The critical role of extreme heat for maize production in the United States. Nat. Climate Change 3, 497–501.
[18]	Luedeling, E., 2012. Climate change impacts on winter chill for temperate fruit and nut production: a review. Sci. Hort. 144, 218–229.
[19]	McSweemy. (2010). Climate Change Country Profiles. UNDP.
[20]	Mekasha, A., Tesfaye, K., Duncan, A. J., 2014. Trends in daily observed temperature and precipitation extremes over three Ethiopian eco-environments. Int. J. Climatol. 34, 1990–1999.
[21]	Mukherjee. (1999). In vitro and in vivo evaluation of the binding of the dopamine D2 receptor agonist (11)C-(R,S)-5-hydroxy-2-(di-n-propylamino)tetralin in rodents and nonhuman primate. Cambridge University Press.
[22]	New, M., Hewitson, B., Stephenson, D. B., Tsiga, A., Kruger, A., Manhique, A., Gomez, B., Coelho, C. A. S., Masisi, D. N., Kululanga, E., Mbambalala, E., Adesina, F., Saleh, H., Kanyanga, J., Adosi, J., Bulane, L., Fortunata, L., Mdoka, M. L., Lajoie, R., 2006. Evidence of trends in daily climate extremes over southern and West Africa. J. Geophys. Res. 111, 1–11.
[23]	Omondi, P. A., Awange, J. L., Forootan, E., Ogallo, L. A., Barakiza, R., Girmaw, G. B., Fesseha, I., Kululetera, V., Kilembe, C., Mbati, M. M., Kilavi, M., King’uyu, S. M., Omeny, P. A., Njogu, A., Badr, E. M., Musa, T. A., Muchiri, P., Bamanyan, D., Komutungao, E., 2014. Changes in temperature and precipitation extremes over the Greater Horn of Africa region from 1961 to 2010. Int. J. Climatol. 34, 1262–1277.
[24]	Paulos. (2002). Present and Future Trends in Natural. Addis Ababa, Ethiopia: ILRI.
[25]	Peng, S., Huang, J., Sheehy, J. E., Laza, R. C., Visperas, R. M., Zhong, X., Centeno, G. S., Khush, G. S., Cassman, K. G., 2004. Rice yields decline with higher night temperature from global warming. PNAS 101, 9971–9975.
[26]	Quintana-Gomez, R. A., 1999. Trends of maximum and minimum temperatures in northern South America. J. Climate vol. 12, 2105–2112.
[27]	SAZ. (2005). SNNPRS Livelihood Zone, Dara Woreda. Sidama Administrative Zone: SNNPRR.
[28]	Yirga Tizale (2007). The dynamics of soil degradation and incentives for optimal management in Central Highlands of Ethiopia. PhD Thesis. University of Pretoria, South Africa: Department of Agricultural Economics, Extension and Rural.

Cite This Article

Plain Text BibTeX RIS

APA Style

Aneteneh Shiferaw, Demelash Kefale. (2021). Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia. Frontiers, 1(4), 54-64. https://doi.org/10.11648/j.frontiers.20210104.12

Copy | Download

ACS Style

Aneteneh Shiferaw; Demelash Kefale. Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia. Frontiers. 2021, 1(4), 54-64. doi: 10.11648/j.frontiers.20210104.12

Copy | Download

AMA Style

Aneteneh Shiferaw, Demelash Kefale. Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia. Frontiers. 2021;1(4):54-64. doi: 10.11648/j.frontiers.20210104.12

Copy | Download

@article{10.11648/j.frontiers.20210104.12,
  author = {Aneteneh Shiferaw and Demelash Kefale},
  title = {Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia},
  journal = {Frontiers},
  volume = {1},
  number = {4},
  pages = {54-64},
  doi = {10.11648/j.frontiers.20210104.12},
  url = {https://doi.org/10.11648/j.frontiers.20210104.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.frontiers.20210104.12},
  abstract = {This study was carried out with the objective of examining the extent of climate variability and its effect on coffee production and identifying determinants for farmers’ decisions to undertake adaptation measures in Dara woreda. A multistage sampling technique was employed to select peasant association. Qualitative data were gathered through focus group discussion, key informant’s interviews and quantitative data were also collected from 145 sample households. Logit model was used to identify the determinants for farmer’s decisions on adaptation measures, while linear regression and Pearson’s correlation were used to identify relationships and effects of climatic variables on coffee production. The results of this study reviled that, 93% of the respondents perceives the existence of reduction in rainfall, while 85% believes an increase in temperature over the last 20 years. The analysis of linear trend also show not only inter-annual and seasonal variability, but also a decreasing trend of rainfall in the area. The meteorological data also confirmed the increase in both maximum and minimum temperatures. Similarly, the annual yield of coffee productivity showed a decreasing tendency in the area for the period 1995-2014. Besides, the results of linear regression showed that, the amount of rainfall received and increased temperature significantly affected coffee production. Similarly Pearson’s correlations indicated negative relationship between temperature and coffee yield, and strong correlation between rainfall and coffee yield. On the other hand, results of the logit regression model illustrated that; education level, farm size, access to credit service and family size being the major determinants for the farmers’ decisions on adaptation measures in the area. Thus it would be vital to acknowledge the impacts of climate variability on coffee production in Dara woreda and considere the determinant factors to implement appropriate adaptation measures in order to address the impacts of climate change and variability in the area.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia
AU  - Aneteneh Shiferaw
AU  - Demelash Kefale
Y1  - 2021/11/17
PY  - 2021
N1  - https://doi.org/10.11648/j.frontiers.20210104.12
DO  - 10.11648/j.frontiers.20210104.12
T2  - Frontiers
JF  - Frontiers
JO  - Frontiers
SP  - 54
EP  - 64
PB  - Science Publishing Group
SN  - 2994-7197
UR  - https://doi.org/10.11648/j.frontiers.20210104.12
AB  - This study was carried out with the objective of examining the extent of climate variability and its effect on coffee production and identifying determinants for farmers’ decisions to undertake adaptation measures in Dara woreda. A multistage sampling technique was employed to select peasant association. Qualitative data were gathered through focus group discussion, key informant’s interviews and quantitative data were also collected from 145 sample households. Logit model was used to identify the determinants for farmer’s decisions on adaptation measures, while linear regression and Pearson’s correlation were used to identify relationships and effects of climatic variables on coffee production. The results of this study reviled that, 93% of the respondents perceives the existence of reduction in rainfall, while 85% believes an increase in temperature over the last 20 years. The analysis of linear trend also show not only inter-annual and seasonal variability, but also a decreasing trend of rainfall in the area. The meteorological data also confirmed the increase in both maximum and minimum temperatures. Similarly, the annual yield of coffee productivity showed a decreasing tendency in the area for the period 1995-2014. Besides, the results of linear regression showed that, the amount of rainfall received and increased temperature significantly affected coffee production. Similarly Pearson’s correlations indicated negative relationship between temperature and coffee yield, and strong correlation between rainfall and coffee yield. On the other hand, results of the logit regression model illustrated that; education level, farm size, access to credit service and family size being the major determinants for the farmers’ decisions on adaptation measures in the area. Thus it would be vital to acknowledge the impacts of climate variability on coffee production in Dara woreda and considere the determinant factors to implement appropriate adaptation measures in order to address the impacts of climate change and variability in the area.
VL  - 1
IS  - 4
ER  -

Copy | Download

Author Information

Aneteneh Shiferaw

Natural Resource Department, Alage ATVET College, Ziway, Ethiopia
Demelash Kefale

College of Agriculture, Hawassa University, Hawassa, Ethiopia

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Aneteneh Shiferaw, Demelash Kefale. (2021). Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia. Frontiers, 1(4), 54-64. https://doi.org/10.11648/j.frontiers.20210104.12

Copy | Download

ACS Style

Aneteneh Shiferaw; Demelash Kefale. Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia. Frontiers. 2021, 1(4), 54-64. doi: 10.11648/j.frontiers.20210104.12

Copy | Download

AMA Style

Aneteneh Shiferaw, Demelash Kefale. Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia. Frontiers. 2021;1(4):54-64. doi: 10.11648/j.frontiers.20210104.12

Copy | Download

@article{10.11648/j.frontiers.20210104.12,
  author = {Aneteneh Shiferaw and Demelash Kefale},
  title = {Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia},
  journal = {Frontiers},
  volume = {1},
  number = {4},
  pages = {54-64},
  doi = {10.11648/j.frontiers.20210104.12},
  url = {https://doi.org/10.11648/j.frontiers.20210104.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.frontiers.20210104.12},
  abstract = {This study was carried out with the objective of examining the extent of climate variability and its effect on coffee production and identifying determinants for farmers’ decisions to undertake adaptation measures in Dara woreda. A multistage sampling technique was employed to select peasant association. Qualitative data were gathered through focus group discussion, key informant’s interviews and quantitative data were also collected from 145 sample households. Logit model was used to identify the determinants for farmer’s decisions on adaptation measures, while linear regression and Pearson’s correlation were used to identify relationships and effects of climatic variables on coffee production. The results of this study reviled that, 93% of the respondents perceives the existence of reduction in rainfall, while 85% believes an increase in temperature over the last 20 years. The analysis of linear trend also show not only inter-annual and seasonal variability, but also a decreasing trend of rainfall in the area. The meteorological data also confirmed the increase in both maximum and minimum temperatures. Similarly, the annual yield of coffee productivity showed a decreasing tendency in the area for the period 1995-2014. Besides, the results of linear regression showed that, the amount of rainfall received and increased temperature significantly affected coffee production. Similarly Pearson’s correlations indicated negative relationship between temperature and coffee yield, and strong correlation between rainfall and coffee yield. On the other hand, results of the logit regression model illustrated that; education level, farm size, access to credit service and family size being the major determinants for the farmers’ decisions on adaptation measures in the area. Thus it would be vital to acknowledge the impacts of climate variability on coffee production in Dara woreda and considere the determinant factors to implement appropriate adaptation measures in order to address the impacts of climate change and variability in the area.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Effects of Climate Variability on Coffee Production and Determinants of Adaptation Mechanisms: The Case of Small-holder Farmers at Dara Woreda, South Ethiopia
AU  - Aneteneh Shiferaw
AU  - Demelash Kefale
Y1  - 2021/11/17
PY  - 2021
N1  - https://doi.org/10.11648/j.frontiers.20210104.12
DO  - 10.11648/j.frontiers.20210104.12
T2  - Frontiers
JF  - Frontiers
JO  - Frontiers
SP  - 54
EP  - 64
PB  - Science Publishing Group
SN  - 2994-7197
UR  - https://doi.org/10.11648/j.frontiers.20210104.12
AB  - This study was carried out with the objective of examining the extent of climate variability and its effect on coffee production and identifying determinants for farmers’ decisions to undertake adaptation measures in Dara woreda. A multistage sampling technique was employed to select peasant association. Qualitative data were gathered through focus group discussion, key informant’s interviews and quantitative data were also collected from 145 sample households. Logit model was used to identify the determinants for farmer’s decisions on adaptation measures, while linear regression and Pearson’s correlation were used to identify relationships and effects of climatic variables on coffee production. The results of this study reviled that, 93% of the respondents perceives the existence of reduction in rainfall, while 85% believes an increase in temperature over the last 20 years. The analysis of linear trend also show not only inter-annual and seasonal variability, but also a decreasing trend of rainfall in the area. The meteorological data also confirmed the increase in both maximum and minimum temperatures. Similarly, the annual yield of coffee productivity showed a decreasing tendency in the area for the period 1995-2014. Besides, the results of linear regression showed that, the amount of rainfall received and increased temperature significantly affected coffee production. Similarly Pearson’s correlations indicated negative relationship between temperature and coffee yield, and strong correlation between rainfall and coffee yield. On the other hand, results of the logit regression model illustrated that; education level, farm size, access to credit service and family size being the major determinants for the farmers’ decisions on adaptation measures in the area. Thus it would be vital to acknowledge the impacts of climate variability on coffee production in Dara woreda and considere the determinant factors to implement appropriate adaptation measures in order to address the impacts of climate change and variability in the area.
VL  - 1
IS  - 4
ER  -

Copy | Download