Skip to main content

Advertisement

Log in

Assessing the climate change impacts of cocoa growing districts in Ghana: the livelihood vulnerability index analysis

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

Climate variability poses serious livelihood problems in most developing countries, especially in farming communities. This study assessed the vulnerability to climate change in two cocoa growing districts in Ghana. A total of 400 households from both districts were surveyed. Data were collected on socio-demographics, livelihoods, social networks, health, food, water, and natural disasters and climate variability. The composite index, differential, and integrated approach were used to aggregate the data, and differential vulnerabilities of the two districts were compared. The contributing factors (exposure, sensitivity, and adaptive capacity) were integrated to estimate livelihood vulnerability index (LVI)-IPCC. Results show that Asunafo North (ASN) had LVI–IPCC score of − 0.0236 compared to Bia West (BIW) of 0.0073. The results suggest that BIW may be more vulnerable regarding socio-demographics, social networks, health, food, water, natural disasters, and climate variability while ASN may be vulnerable to only livelihood strategies. The study also found that BIW was highly vulnerable to average receive–give and borrowed–lend money ratio. This assessment highlights how climate variability is affecting the livelihood of the cocoa-producing districts in Ghana. The study will be beneficial to the government of Ghana and non-governmental organizations in developing programs and projects to reduce vulnerabilities and enhance adaptive capacities in both ASN and BIW districts. Diversifying sources of income and livelihood could be the alternative to ameliorate vulnerability in both districts.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
€32.70 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (France)

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Abdul-Razak, M., & Kruse, S. (2017). The adaptive capacity of smallholder farmers to climate change in the Northern Region of Ghana. Climate Risk Management,17, 104–122.

    Article  Google Scholar 

  • Adu, D. T., Kuwornu, J. K. M., Anim-Somuah, H., & Sasaki, N. (2018). Application of livelihood vulnerability index in assessing smallholder maize farming households’ vulnerability to climate change in Brong-Ahafo region of Ghana. Kasetsart Journal of Social Sciences,39, 22–32.

    Article  Google Scholar 

  • Al-Kalbani, S. M., Price, F. M., Abahussain, A., Ahmed, M., & Higgins, O. T. (2014). Vulnerabity assessment of environmental and climate change impacts on water resources in Al Jabal Al Akhdar, Sultanate of Oman. Water, 6, 3118–3135.

    Article  Google Scholar 

  • Alam, G. M. M., Alam, K., & Mushtaq, S. (2017). Climate change perceptions and local adaptation strategies of hazard-prone rural households in Bangladesh. Climate Risk Management,17, 52–63.

    Article  Google Scholar 

  • Antwi-Agyei, P., Dougill, A. J., Fraser, E. D. G., & Stringer, L. C. (2012). Characterising the nature of household vulnerability to climate variability: Empirical evidence from two regions of Ghana. Environment, Development and Sustainability,15, 903–926.

    Article  Google Scholar 

  • Antwi-Agyei, P., Dougill, A. J., Stringer, L. C., & Codjoe, S. N. A. (2018). Adaptation opportunities and maladaptive outcomes in climate vulnerability hotspots of northern Ghana. Climate Risk Management,19, 83–93.

    Article  Google Scholar 

  • Antwi-Agyei, P., Stringer, L. C., & Dougill, A. J. (2014). Livelihood adaptations to climate variability: Insights from farming households in Ghana. Regional Environmental Change,14, 1615–1626.

    Article  Google Scholar 

  • Asante, W. A., Acheampong, E., Kyereh, E., & Kyereh, B. (2017). Farmers’ perspectives on climate change manifestations in smallholder cocoa farms and shifts in cropping systems in the forest-savannah transitional zone of Ghana. Land Use Policy,66, 374–381.

    Article  Google Scholar 

  • Can, D. N., Tu, V. H., & Hoanh, C. T. (2013). Application of livelihood vulnerability index analysis to assess risk from flood vulnerability and climate vulnerability – A case study in the Mekong Delta of Veitnam. Journal of Environmental Science and Engineering, A2, 476–486.

    Google Scholar 

  • Chaudhury, A. S., Thornton, T. F., Helfgott, A., Ventresca, M. J., & Sova, C. (2017). Ties that bind: Local networks, communities and adaptive capacity in rural Ghana. Journal of Rural Studies,53, 214–228.

    Article  Google Scholar 

  • DHS. (2013). Standard recode manual for DHS 6. Demographic and Health Surveys (DHS).

  • Dumenu, W. K., & Obeng, E. A. (2016). Climate change and rural communities in Ghana: Social vulnerability, impacts, adaptations and policy implications. Environmental Science & Policy,55, 208–217.

    Article  Google Scholar 

  • Evans, R., Mariwah, S., & Barima Antwi, K. (2015). Struggles over family land? Tree crops, land and labour in Ghana’s Brong-Ahafo region. Geoforum,67, 24–35.

    Article  Google Scholar 

  • Evariste, F. F., Denis Jean, S., Victor, K., & Claudia, M. (2018). Assessing climate change vulnerability and local adaptation strategies in adjacent communities of the Kribi-Campo coastal ecosystems, South Cameroon. Urban Climate,24, 1037–1051.

    Article  Google Scholar 

  • Füssel, H.-M. (2007). Vulnerability: A generally applicable conceptual framework for climate change research. Global Environmental Change,17, 155–167.

    Article  Google Scholar 

  • Ghana Statistical Service. (2010a). 2010 Population and Housing Census Questionnaire. Ghana: Ghana Statistical Service.

    Google Scholar 

  • Ghana Statistical Service. (2010b). Ghana Statistical Service: Asunafo North Municipality. Ghana: Ghana Statistical Service.

    Google Scholar 

  • Ghana Statistical Service. (2010c). Ghana Statistical Service: Bia West District. Ghana: Ghana Statistical Service.

    Google Scholar 

  • GMET. (2016). Weather information. Ghana: Ghana Meteorological Agency (GMET).

    Google Scholar 

  • Habtemariam, L. T., Abate Kassa, G., & Gandorfer, M. (2017). Impact of climate change on farms in smallholder farming systems: Yield impacts, economic implications and distributional effects. Agricultural Systems,152, 58–66.

    Article  Google Scholar 

  • Hahn, M. B., Riederer, A. M., & Foster, S. O. (2009). The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate variability and change—A case study in Mozambique. Global Environmental Change,19, 74–88.

    Article  Google Scholar 

  • IPCC. (2014). Climate change 2014: Impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change, working group II contribution to the fifth assessment report of the intergovernmental panel on climate change (pp. 1–1132). Cambridge: Cambridge University Press.

  • Krishnamurthy, P. K., Lewis, K., & Choularton, R. J. (2014). A methodological framework for rapidly assessing the impacts of climate risk on national-level food security through a vulnerability index. Global Environmental Change,25, 121–132.

    Article  Google Scholar 

  • Leal Filho, W., Bönecke, J., Spielmann, H., Azeiteiro, U. M., Alves, F., Lopes de Carvalho, M., et al. (2018). Climate change and health: An analysis of causal relations on the spread of vector-borne diseases in Brazil. Journal of Cleaner Production,177, 589–596.

    Article  Google Scholar 

  • Legese, S. A., Olutayo, A. O., Sulaiman, H., & Rao, P. (2016). Assessing climate change impacts in the Lake Tana Sub-Basin, Ethiopia using livelihood vulnerability approach. Journal of Earth Science & Climatic Change, 7, 1–10.

    Google Scholar 

  • Madhuri, Tewari, H. R., & Bhowmick, P. K. (2014). Livelihood vulnerability index analysis: An approach to study vulnerability in the context of Bihar. Journal of Disaster Risk Studies,6, 1–13.

    Google Scholar 

  • Nyantakyi-Frimpong, H., & Bezner-Kerr, R. (2015). The relative importance of climate change in the context of multiple stressors in semi-arid Ghana. Global Environmental Change,32, 40–56.

    Article  Google Scholar 

  • Panda, A. (2016). Vulnerability to climate variability and drought among small and marginal farmers: A case study in Odisha, India. Climate and Development,9, 605–617.

    Article  Google Scholar 

  • Pandey, R., & Jha, S. (2011). Climate vulnerability index—Measure of climate change vulnerability to communities: A case of rural Lower Himalaya, India. Mitigation and Adaptation Strategies for Global Change,17, 487–506.

    Article  Google Scholar 

  • Partey, S. T., Zougmoré, R. B., Ouédraogo, M., & Campbell, B. M. (2018). Developing climate-smart agriculture to face climate variability in West Africa: Challenges and lessons learnt. Journal of Cleaner Production,187, 285–295.

    Article  Google Scholar 

  • Peprah, K. (2015). Sustainability of cocoa farmers’ livelihoods: A case study of Asunafo District, Ghana. Sustainable Production and Consumption,4, 2–15.

    Article  Google Scholar 

  • Schroth, G., Laderach, P., Martinez-Valle, A. I., Bunn, C., & Jassogne, L. (2016). Vulnerability to climate change of cocoa in West Africa: Patterns, opportunities and limits to adaptation. Science of the Total Environment,556, 231–241.

    Article  CAS  Google Scholar 

  • Shah, K. U., Dulal, H. B., Johnson, C., & Baptiste, A. (2013). Understanding livelihood vulnerability to climate change: Applying the livelihood vulnerability index in Trinidad and Tobago. Geoforum,47, 125–137.

    Article  Google Scholar 

  • Shikuku, K. M., Winowiecki, L., Twyman, J., Eitzinger, A., Perez, J. G., Mwongera, C., et al. (2017). Smallholder farmers’ attitudes and determinants of adaptation to climate risks in East Africa. Climate Risk Management,16, 234–245.

    Article  Google Scholar 

  • WHO. (2006). Core questions on drinking-water and sanitation for household surveys. Geneva: World Health Organisation.

    Google Scholar 

  • WHO. (2013). Household survey indicators for malaria control. Geneva: World Health Organisation.

    Google Scholar 

  • Wiah, E. N., & Twumasi-Ankrah, S. T. (2017). Impact of climate change on cocoa yield in Ghana using vector autoregressive model. Ghana Journal of Technology,1, 32–39.

    Google Scholar 

  • World Bank. (1997). Survey for living conditions: Uttar Pradesh and Bihar. Washington: World Bank.

    Google Scholar 

  • World Bank. (2010). Third integrated household survey: Household Questionnaire. In Malawi Government, National Statistical Office (Ed.). Washington: World Bank.

  • World Bank. (2012). Disaster risk financing and insurance in SubSaharan Africa. Washington: World Bank.

    Book  Google Scholar 

  • Wossen, T., Berger, T., Haile, M. G., & Troost, C. (2018). Impacts of climate variability and food price volatility on household income and food security of farm households in East and West Africa. Agricultural Systems,163, 7–15.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patrick Amoatey.

Ethics declarations

Conflict of interest

The authors reported no potential conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Amoatey, P., Sulaiman, H. Assessing the climate change impacts of cocoa growing districts in Ghana: the livelihood vulnerability index analysis. Environ Dev Sustain 22, 2247–2268 (2020). https://doi.org/10.1007/s10668-018-0287-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-018-0287-8

Keywords

Navigation