Authors :
Dr. Matundura Erickson
Volume/Issue :
Volume 9 - 2024, Issue 9 - September
Google Scholar :
https://tinyurl.com/2yejd5ru
Scribd :
https://tinyurl.com/4ajj2yar
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24SEP754
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Changes in the climate and natural disasters
have hampered Kenya's growth in economy, as seen by
periodic droughts, floods, and shifts in rainfall and
temperature patterns. The research investigated the
effects of climatic change on Kenya's GDP growth.
Modeling was done using Autoregressive Distributed Lag
(ARDL) model estimation technique while analyzing data
from 1990 to 2023. Climate change was represented by
annual rainfall fluctuations, carbon emissions, and forest
depletion, with inflation, exchange rates, and government
spending serving as the controlling factors. The
regression results indicated that at 5% level of
significance short run carbon emissions affect growth
negatively but the long run results indicated a positive
effect. Forest depletion positively impacts growth in the
long run period. Government expenditure, changes in the
exchange rate and economic growth had an inverse
relationship. Inflation did not have potential long term
impact on GDP. This study recommended that the
government to balance economic growth with
environmental sustainability by promoting cleaner
technologies and renewable energy projects. Investments
advanced irrigation and drought resistant crops are
crucial. Sustainable forest management should involve
controlled logging and reforestation to ensure long term
health. Reducing exchange rate volatility through foreign
reserves and diversified exports will stabilize the
economy. Enhancing government expenditure efficiency
by focusing on high return investments and minimizing
waste will boost GDP stability.
References :
- Al-Mulali, U., & Ozturk, I. (2016). The investigation of environmental Kuznets curve hypothesis in the advanced economies: the role of energy prices. Renewable and Sustainable Energy Reviews, 54, 1622-1631.
- Alagidede, P., Adu, G., & Frimpong, P. B. (2014). The effect of climate change on economic growth. Evidence from Sub-Sahara Africa.
- Burgess, R., Deschenes, O., Donaldson, D., & Greenstone, M. (2017). Weather, climate change and death in India. University of Chicago, 577-617.
- Detelinova, I., Thomas, T. S., Hammond, W., Arndt, C., & Hartley, F. (2023). From climate risk to resilience: Unpacking the economic impacts of climate change in Kenya. Intl Food Policy Res Inst.
- Green, F., & Stern, N. (2017). China's changing economy: implications for its carbon dioxide emissions. Climate policy, 17(4), 423-442.
- Kumar, D., Singh, A., Samui, P., & Jha, R. K. (2019). Forecasting monthly precipitation using sequential modelling. Hydrological sciences journal, 64(6), 690-700.
- Lewis, L., & Tietenberg, T. (2019). Environmental economics and policy. Routledge.
- Matundura, E. (2014). The effects of public capital expenditure on economic growth in Kenya Doctoral dissertation, Moi University].
- Matundura, E. (2021). Selected Macroeconomic Determinants of Economic Growth in Kenya: A Co-integration Approach. The International Journal of Business & Management, 9(10).
- Morley, J., Buchanan, G., Mitchard, E. T., & Keane, A. (2022). Quasi-experimental analysis of new mining developments as a driver of deforestation in Zambia. Scientific Reports, 12(1), 18252.
- Mwambire, T. N. (2020). The Effects of Climate Change on Kenya’s Social Economics Development. African Journal of Business and Management (AJBUMA), 6(1), 6-18.
- Odusola, A., & Abidoye, B. (2015). Effects of temperature and rainfall shocks on economic growth in Africa. Available at SSRN 3101790.
- Ogbuabor, J. E., & Egwuchukwu, E. I. (2017). The impact of climate change on the Nigerian economy. International Journal of Energy Economics and Policy, 7(2), 217-223.
- Rodríguez-Veiga, P., Carreiras, J., Smallman, T. L., Exbrayat, J.-F., Ndambiri, J., Mutwiri, F., . . . Balzter, H. (2020). Carbon stocks and fluxes in Kenyan forests and wooded grasslands derived from earth observation and model-data fusion. Remote Sensing, 12(15), 2380.
- Shrestha, M. B., & Bhatta, G. R. (2018). Selecting appropriate methodological framework for time series data analysis. The Journal of Finance and Data Science, 4(2), 71-89.
- World Bank. 2021. “Kenya Moves to Locally Led Climate Action.” World Bank Blogs, October 27. https://blogs. worldbank.org/nasikiliza/kenya-moves-locally-led-climate-action
Changes in the climate and natural disasters
have hampered Kenya's growth in economy, as seen by
periodic droughts, floods, and shifts in rainfall and
temperature patterns. The research investigated the
effects of climatic change on Kenya's GDP growth.
Modeling was done using Autoregressive Distributed Lag
(ARDL) model estimation technique while analyzing data
from 1990 to 2023. Climate change was represented by
annual rainfall fluctuations, carbon emissions, and forest
depletion, with inflation, exchange rates, and government
spending serving as the controlling factors. The
regression results indicated that at 5% level of
significance short run carbon emissions affect growth
negatively but the long run results indicated a positive
effect. Forest depletion positively impacts growth in the
long run period. Government expenditure, changes in the
exchange rate and economic growth had an inverse
relationship. Inflation did not have potential long term
impact on GDP. This study recommended that the
government to balance economic growth with
environmental sustainability by promoting cleaner
technologies and renewable energy projects. Investments
advanced irrigation and drought resistant crops are
crucial. Sustainable forest management should involve
controlled logging and reforestation to ensure long term
health. Reducing exchange rate volatility through foreign
reserves and diversified exports will stabilize the
economy. Enhancing government expenditure efficiency
by focusing on high return investments and minimizing
waste will boost GDP stability.