Ghana's Sources of CO2 Emissions
Key Insights
Early Industrial Activities and Land Use Changes
Ghana's CO₂ emissions history is deeply intertwined with its land use and industrial activities. The introduction of cocoa farming in the late 19th century marked a significant shift in land use, leading to deforestation and increased CO₂ emissions. Similarly, the expansion of gold mining in the 1920s contributed to emissions through fossil fuel use and land disturbance. These early activities set the stage for Ghana's evolving emissions profile.
Infrastructure Developments and Emissions
The mid-20th century saw major infrastructure projects like the Volta River Project, which significantly altered land use and contributed to emissions. The creation of Lake Volta released CO₂ from decomposing vegetation, highlighting the environmental impact of large-scale developments. The 1983 drought and subsequent bushfires further exacerbated emissions, as fires released substantial CO₂ into the atmosphere.
Economic Growth and Energy Sector Shifts
Ghana's Economic Recovery Program in the 1990s spurred industrial growth, leading to increased fossil fuel consumption and higher CO₂ emissions. The discovery of oil in 2007 and the start of commercial production in 2010 marked a pivotal shift in Ghana's energy sector, significantly impacting its emissions profile. The oil industry became a major source of CO₂ emissions, reflecting the country's evolving energy landscape.
Recent Trends and Policy Initiatives
In recent years, Ghana has taken steps to address its emissions through policy initiatives like the Renewable Energy Act of 2016, aimed at increasing renewable energy use. The COVID-19 pandemic in 2020 temporarily reduced emissions due to decreased economic activity, underscoring the link between economic trends and emissions. These efforts highlight Ghana's ongoing journey towards a more sustainable emissions trajectory.
Background
The chart shows a national breakdown by source of the yearly CO2 emissions from human activities and processes expressed in megatonnes. It is critical to know and track the sources of national CO2 emissions in order to understand their individual impacts on climate change.
The sources of human CO2 emissions are
- CO2 From Fossil Fuels and Industry: coal, oil, gas combustion, other fossil processes
- CO2 From Land-Use, Land-Use Change, and Forestry
Coal, oil and gas combustion
Fossil fuel CO2 emissions from the combustion of coal, oil and gas are emitted by processes in electricity generation, transport, industry, and the building sector. All processes can be linked to human activities. Examples include driving cars with combustion engines burning diesel or gas, or electric cars charged by electricity from a power plant that burns coal.
Other fossil processes
Fossil CO2 emissions from other processes include sources like cement manufacturing and production of chemicals and fertilizers. Cement also has an absorption factor highlighted in the absorption breakdown chart.
Land-use change
Human civilization emits CO2 by changing and managing its land. Those emissions come, for example, from deforestation, logging, forest degradation, harvest activities and shifting agriculture cultivation. Land-use change also absorbs considerable amounts of CO2, which is shown in the absorption breakdown chart. Land-use change emits more than it absorbs, so the net effect is still emissions, but less than for coal, oil and gas.
Wikipedia: Greenhouse Gas EmissionsEarth System Science Data: GCP 2020 paper: Section 2.2 Land-use change; Section 2.1 Fossil fuel emissions
IPCC: Annual Report 6, 5.2.1.1 Anthropogenic CO2 emissions
Units and Measures
CO2 emissions are expressed in the total weight in megatonnes per year. 1 Megatonne is equal to 1 million tonnes.
Wikipedia: MegatonneWikipedia: Global warming potential
About the Data
The last available year is 2023. CO2 emissions data is from the Global Carbon Project. It contains national CO2 emissions from fossil sources and land-use change.
The Key Insights paragraph was generated using a large language model (LLM) using a structured approach to improve the accuracy. This included separating the context generation from the interpretation and narrative.
Data Sources
Global Carbon Budget 2024 Global Carbon Budget
Update cycle: yearlyDelay: ~ 10 months after the end of the year. Current year values are estimated and published in November.Credits: Friedlingstein et al., 2024, ESSD. Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Hauck, J., Landschützer, P., Le Quéré, C., Li, H., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Arneth, A., Arora, V., Bates, N. R., Becker, M., Bellouin, N., Berghoff, C. F., Bittig, H. C., Bopp, L., Cadule, P., Campbell, K., Chamberlain, M. A., Chandra, N., Chevallier, F., Chini, L. P., Colligan, T., Decayeux, J., Djeutchouang, L., Dou, X., Duran Rojas, C., Enyo, K., Evans, W., Fay, A., Feely, R. A., Ford, D. J., Foster, A., Gasser, T., Gehlen, M., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Heinke, J., Hurtt, G. C., Iida, Y., Ilyina, T., Jacobson, A. R., Jain, A., Jarníková, T., Jersild, A., Jiang, F., Jin, Z., Kato, E., Keeling, R. F., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Lauvset, S. K., Lefèvre, N., Liu, Z., Liu, J., Ma, L., Maksyutov, S., Marland, G., Mayot, N., McGuire, P., Metzl, N., Monacci, N. M., Morgan, E. J., Nakaoka, S.-I., Neill, C., Niwa, Y., Nützel, T., Olivier, L., Ono, T., Palmer, P. I., Pierrot, D., Qin, Z., Resplandy, L., Roobaert, A., Rosan, T. M., Rödenbeck, C., Schwinger, J., Smallman, T. L., Smith, S., Sospedra-Alfonso, R., Steinhoff, T., Sun, Q., Sutton, A. J., Séférian, R., Takao, S., Tatebe, H., Tian, H., Tilbrook, B., Torres, O., Tourigny, E., Tsujino, H., Tubiello, F., van der Werf, G., Wanninkhof, R., Wang, X., Yang, D., Yang, X., Yu, Z., Yuan, W., Yue, X., Zaehle, S., Zeng, N., and Zeng, J.: Global Carbon Budget 2024, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-519, in review, 2024.