dc.contributor.author | OLILA, Dennis O | |
dc.contributor.author | Wasonga, Oliver V. | |
dc.date.accessioned | 2017-03-01T11:43:27Z | |
dc.date.available | 2017-03-01T11:43:27Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Olila, Dennis Opiyo, and Oliver V. Wasonga. "Time Series Analysis and Forecasting of Carbon Dioxide Emissions: A Case of Kenya’s Savanna Grasslands." 2016 AAAE Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia. No. 246394. African Association of Agricultural Economists (AAAE), 2016. | en_US |
dc.identifier.uri | https://www.researchgate.net/profile/Dennis_Olila/publication/308621516_Time_Series_Analysis_and_Forecasting_of_Carbon_Dioxide_Emissions_A_Case_of_Kenya's_Savanna_Grasslands/links/57e9621308aed0a291303994.pdf | |
dc.identifier.uri | http://hdl.handle.net/11295/100491 | |
dc.description.abstract | Climate change and
variability is perhaps
one of
the
major
challenge
s facing the world today.
There is an equivocal agreement that climate change is not only a threat to the economies of
developing world, but also to those of the developed
countries
.
One of the key
drivers
of global
warming is the greenhouse gas (GHG) emissions.
Even though several
studies have in the recent
past evaluated various sources of GHG emissions and their associated impacts, little empirical
information exists on the role played by burning savanna grasslands as far as global warming is
concerned. This study is an attempt
to determine the emission pattern over time and
consequently
forecast the
trend in GHG emissions from the Kenya’ Savanna.
Using Autoregressive (AR)
modelling, the study analyzes and forecasts time series data
from the year 1993 to 2012
. The key
finding
s
of the study indicate that emissions resulting from continual burning of Savanna
grasslands will continue
in an upward trend if no
mitigation measure is put in place to revert the
statusquo.
Averting the current state of affairs requires policies aimed at
reducing the levels of
GHGs in the atmosphere
such as
promotion of Climate Smart Agricultural (CSA) Practices. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Nairobi | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Climate Change, Savanna grassland, Autoregressive model, Time series data | en_US |
dc.title | Time series analysis and forecasting of carbon dioxide emissions: a case of Kenya | en_US |
dc.type | Presentation | en_US |