dailylifeofwei
commented
9 months ago The IO table I use is IOT_2022_ixi
Open dailylifeofwei opened 9 months ago
dailylifeofwei
commented
9 months ago The IO table I use is IOT_2022_ixi
Some data points in the direct intensity matrix exiobase3.satellite.S (exiobase v.3.8.2) do not look very reasonable . For example, the direct CO2 intensity of 'Mining of iron ores' in Portugal is 1.2e+14 kg CO2 per million euro (or 1.2e+05 metric ton CO2 per euro). exiobase3.satellite.S.loc['CO2 - combustion - air', ('PT', 'Mining of iron ores')]
Of course, that is the direct result of total output of 2.8e-06 million euros and total CO2 emissions of 3.3e+08 kg from the industry. exiobase3.x['indout'].loc[('PT', 'Mining of iron ores')] exiobase3.satellite.F.loc['CO2 - combustion - air', ('PT', 'Mining of iron ores')]
The question is if the output of the industry is close to zero, why does the data compiling process attribute so much CO2 to the industry? Any suggestions are highly appreciated.
Another example is 'Re-processing of secondary paper into new pulp' in Japan. Output of the industry is 1.3e-01 million euros. But CO2 - combustion attributed to the industry is 5.4e+09 kg and SOx - combustion is 2.2e+07 kg.