Republic of Moldova's Sources of CO2 Emissions
Key Insights
Early Industrialization and Emissions Rise
The introduction of railways in the 1860s marked the beginning of significant CO₂ emissions in the Republic of Moldova, then part of the Russian Empire. The reliance on coal for steam engines contributed to a noticeable increase in emissions. This trend continued with post-World War II industrialization, as Moldova, under Soviet influence, saw a surge in factory establishments and fossil fuel consumption, further elevating CO₂ emissions.
Transition and Emission Shifts
The 1970s brought a shift in energy sources with the introduction of natural gas, which altered the emissions landscape. While natural gas emits less CO₂ than coal and oil, the potential for methane leaks presented new challenges. The 1991 independence from the Soviet Union led to economic restructuring, temporarily reducing industrial output and CO₂ emissions. However, the transition also brought inefficiencies that affected overall emissions.
Modern Reforms and Renewable Energy
In the early 2000s, Moldova's energy sector reforms aimed at improving efficiency and reducing energy dependency contributed to a decline in CO₂ emissions. The focus on modernizing infrastructure and promoting energy efficiency aligned with European standards. By 2010, investments in renewable energy sources like wind and solar began to further reduce reliance on fossil fuels, marking a positive shift towards sustainable energy practices.
Pandemic-Induced Emission Reductions
The COVID-19 pandemic in 2020 led to a temporary decrease in CO₂ emissions due to reduced economic activity and energy consumption. Lockdowns and movement restrictions significantly lowered transportation emissions, reflecting a global trend of reduced emissions during this period. This temporary reduction highlighted the potential for emissions cuts through changes in economic and social behavior.
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.