- 1.10. Table A16.

- 1.11. The concordance (gmap(g, s)) between the WTO model industry list ( _g_ ) and the SUST-RUS industries ( _s_ ) is presented in Table A17. We do not have a one to one mapping between the WTO model industry list and the SUST-RUS industry list. Differences in the underlying industry classifications are fundamental, as the model’s (“the WTO model”) industry list is based on the old Russian OKONH classification, which is production process-centric; but the SUST-RUS industry classification is based on the standard international industry classification (ISIC/NACE or, the Russian version, OKVED), which is activity-centric. In the presence of classification differences, the authors establish a many-to-one mapping from the WTO model industry list to the SUST-RUS list. For each industry from the WTO model industry list there is a corresponding industry from SUST-RUS’s list. There are several WTO industries that maps to the same SUST-RUS industry. For example, there is only one SUST-RUS industry that corresponds to transport services _I_trn,_ which is defined as an aggregate of all of the following types of transport services: land transport; transport via pipelines; water transport; air transport; supporting and auxiliary transport activities; activities of travel agencies. The WTO model’ industry list is very detailed in transport services: there are six different industries related to transport services: maritime transportation (MAR), railway transportation (RLW), truck transportation (TRK), pipeline transportation (PIP), air transportation (AIR), and other transportation (TRO). According to our mapping, all six types of transport services in the WTO model are mapped to one type of transport services in the SUST-RUS dataset. The concordance (gmap(g, s)) doesn’t use every SUST-RUS industry, only those which are associated with any of the WTO model’s industries. Only 20 out of 32 SUST-RUS industries are used in the mapping. In the case, when SUST-RUS is more detailed in representing certain production sectors than the WTO model, only one industry from the SUST-RUS’s industry list is chosen to represent the WTO-model industry. For example, there are two sectors of light industry “Manufacture of textiles and textile products” (DB) and “Manufacture of leather and leather products” (DC) in the SUST-RUS industry list, but there is only one industry “Textiles and apparel” (CLI) in the WTO model. In this case, the concordance (gmap(g, s)) associates “Textiles and apparel” (CLI) from the WTO model only with “Manufacture of textiles and textile products” (DB) of the SUST-RUS list, leaving “Manufacture of leather and leather products” (DC) industry unused in the concordance.

- 1.12. The mapping (rmap(reg, r)) between the WTO models regions list ( _reg_ ) and the SUST-RUS regions ( _r_ ) is presented in Table A18.  A detailed list of all the WTO model’s regions and Federal Districts of the Russian Federation is presented in Table A19.

- 1.13. The geographical mapping (rmap(reg, r)) between the WTO model’s regions list ( _reg_ ) and the SUST-RUS regions ( _r_ ) is many to one,  since the WTO model’s regions list is more detailed than the list of SUST-RUS. There is no exact mapping between Federal Districts regional division used in the SUST-RUS database and ten geographical regions of the WTO model. The authors examine the sensitivity of the results to the regional mapping.

- 1.14. The model’s dataset is based on the 2001 Russian Input-output data. The emission data are based on 2006 data of the SUST-RUS database and should be scaled to match the total emission level of 2001. Values of emissions by different types of non-CO2 pollutants for 2001 (emitstatp<sup>2001</sup> ) are presented in Table A20.

- 1.15. The adjusted regional emission intensity index of non-CO2 emissions in the WTO model region and sector list (emitintp,g,reg) is calculated in three steps. In the first step (Equation 4) the regional emission intensity index of non-CO2 emissions in the WTO model (emitintp,g,reg0 ) is set to equal to values of the regional emission

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