Data Stories

Analysis reveals that a significant number of economies are net carbon sources.

Aggregating XCO₂ anomaly values at the economy level, nearly half of the economies in Asia and the Pacific acted, on average, as net sources of carbon, based on XCO₂ measurements from 2014 to 2021 (see figure below). Among the economies with available data, Hong Kong, China recorded the highest positive XCO₂ anomaly (2.0), while Bhutan recorded the lowest negative XCO₂ anomaly (-2.0). Furthermore, despite their relatively small land areas, 9 of the 11 Pacific economies with available data were possibly net XCO₂ sources with positive anomalies.

Mean Positive and Negative XCO₂ Anomalies Across Individual Economies, 2014–2021

Nearly half the economies in the Asia and Pacific region were, on average, net carbon sources.
Mean Positive and Negative XCO₂ Anomalies Across Individual Economies, 2014–2021
CO₂ = carbon dioxide, FSM = Federated States of Micronesia, Lao PDR = Lao People’s Democratic Republic, PNG = Papua New Guinea, PRC = People’s Republic of China.
Notes: XCO₂ anomalies are calculated by subtracting the daily background XCO₂ (derived from a specified region or latitude band) from individual XCO₂ measurements for specific localities, isolating significant emission or absorption events by removing seasonal and long-term variations in the background concentrations. If the result of the subtraction is a positive number, this indicates that the locality is a possible carbon source. If the result is a negative number, this suggests the locality is a possible carbon sink. The measured CO₂ concentrations include contributions from both industrial emissions and natural sources. For consistency in the analysis, only XCO₂ measurement locations within terrestrial areas are represented in this analysis and visualization, except for economies where no terrestrial observation locations are found, and thus, observation locations in their respective offshore territories were instead included. This includes Maldives, the Marshall Islands, the FSM, and Tonga. No terrestrial and offshore XCO₂ measurements are available for Nauru, Singapore, and Tuvalu in the source XCO₂ data. World Bank Official Boundaries are used for terrestrial national aggregation.
Source: Asian Development Bank analysis using the National Aeronautics and Space Administration (NASA) XCO₂ dataset (accessed December 11, 2023).

Subnational data reinforce the high proportion of carbon sources across Asia and the Pacific.

The figure below shows that exactly half the economies with available data had a majority of their observation locations (at 25 km² grids) characterized as carbon sources from 2014 to 2021, while the other half had a majority of locations defined as carbon sinks. A few economies had 100% of their locations reporting XCO₂ positive anomalies (as in Micronesia; Hong Kong, China; and Niue) or 100% negative anomalies (as in Maldives and Palau), although it must be noted that these economies were each represented by only a single observation location.

XCO₂ Sources and Sinks within Individual Economies, 2014–2021 (% and number)

Half of the economies of Asia and the Pacific had a majority of their observation locations (25 km² grids) characterized as carbon sources.
XCO₂ Sources and Sinks within Individual Economies, 2014–2021 (% and number)
FSM = Federated States of Micronesia, km² = square kilometer, Lao PDR = Lao People’s Democratic Republic, PNG = Papua New Guinea, PRC = People’s Republic of China.
Notes: The figures on each bar represent the number of observation locations. The average value for each observation location was calculated by taking their respective means from 2014 to 2021. XCO₂ anomalies are calculated by subtracting the daily background XCO₂ (derived from a specified region or latitude band) from individual XCO₂ measurements for specific localities, isolating significant emission or absorption events by removing seasonal and long-term variations in the background concentrations. If the result of the subtraction is a positive number, this indicates that the locality is a possible carbon source. If the result is a negative number, this suggests the locality is a possible carbon sink. The measured CO₂ concentrations include contributions from both industrial emissions and natural sources. For consistency in the analysis, only XCO₂ measurement locations within terrestrial areas are represented in this analysis and visualization, except for economies where no terrestrial observation locations are found, and thus, observation locations in their respective offshore territories were instead included. This includes Maldives, the Marshall Islands, the FSM, and Tonga. No terrestrial and offshore XCO2 measurements are available for Nauru, Singapore, and Tuvalu in the source XCO₂ data. World Bank Official Boundaries are used for terrestrial national aggregation.
Source: Asian Development Bank analysis using the National Aeronautics and Space Administration (NASA) XCO₂ dataset (accessed December 11, 2023).

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For more than 50 years, Key Indicators for Asia and the Pacific has presented the latest data on economic, financial, social, and environmental development issues across Asia and the Pacific. It continues to act as a vital resource of data and statistics for policymakers, development practitioners, government officials, researchers, and students around the world.
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