climada_petals.engine package

climada_petals.engine.supplychain module

class climada_petals.engine.supplychain.SupplyChain[source]

Bases: object

SupplyChain class.

The SupplyChain class provides methods for loading Multi-Regional Input-Output Tables (MRIOT) and computing direct, indirect and total impacts.

mriot_data

The input-output table data.

Type

np.array

mriot_reg_names

Names of regions considered in the input-output table.

Type

np.array

sectors

Sectors considered in the input-output table.

Type

np.array

total_prod

Countries’ total production.

Type

np.array

mriot_type

Type of the adopted input-output table.

Type

str

reg_pos

Regions’ positions within the input-output table and impact arrays.

Type

dict

reg_dir_imp

Regions undergoing direct impacts.

Type

list

years

Years of the considered hazard events for which impact is calculated.

Type

np.array

direct_impact

Direct impact array.

Type

np.array

direct_aai_agg

Average annual direct impact array.

Type

np.array

indirect_impact

Indirect impact array.

Type

np.array

indirect_aai_agg

Average annual indirect impact array.

Type

np.array

total_impact

Total impact array.

Type

np.array

total_aai_agg

Average annual total impact array.

Type

np.array

io_data

Dictionary with the coefficients, inverse and risk_structure matrixes and the selected input-output modeling approach.

Type

dict

__init__()[source]

Initialize SupplyChain.

read_wiod16(year=2014, range_rows=(5, 2469), range_cols=(4, 2468), col_iso3=2, col_sectors=1)[source]

Read multi-regional input-output tables of the 2016 release of the WIOD project: http://www.wiod.org/database/wiots16

Parameters

  • year (int) – Year of WIOD table to use. Valid years go from 2000 to 2014. Default year is 2014.

  • range_rows (tuple) – initial and end positions of data along rows. Default is (5,2469).

  • range_cols (tuple) – initial and end positions of data along columns. Default is (4,2468).

  • col_iso3 (int) – column with countries names in ISO3 codes. Default is 2.

  • col_sectors (int) – column with sector names. Default is 1.

References

[1] Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R. and de Vries, G. J. (2015), “An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production”, Review of International Economics., 23: 575–605

calc_sector_direct_impact(hazard, exposure, imp_fun_set, selected_subsec='service')[source]

Calculate direct impacts.

Parameters

  • hazard (Hazard) – Hazard object for impact calculation.

  • exposure (Exposures) – Exposures object for impact calculation. For WIOD tables, exposure.region_id must be country names following ISO3 codes.

  • imp_fun_set (ImpactFuncSet) – Set of impact functions.

  • selected_subsec (str or list) – Positions of the selected sectors. These positions can be either defined by the user by passing a list of values, or by using built-in sectors’ aggregations for the WIOD data passing a string with possible values being “service”, “manufacturing”, “agriculture” or “mining”. Default is “service”.

calc_indirect_impact(io_approach='ghosh')[source]

Calculate indirect impacts according to the specified input-output appraoch. This function needs to be run after calc_sector_direct_impact.

Parameters

io_approach (str) – The adopted input-output modeling approach. Possible approaches are ‘leontief’, ‘ghosh’ and ‘eeioa’. Default is ‘gosh’.

References

[1] W. W. Leontief, Output, employment, consumption, and investment, The Quarterly Journal of Economics 58, 1944. [2] Ghosh, A., Input-Output Approach in an Allocation System, Economica, New Series, 25, no. 97: 58-64. doi:10.2307/2550694, 1958. [3] Kitzes, J., An Introduction to Environmentally-Extended Input-Output Analysis, Resources, 2, 489-503; doi:10.3390/resources2040489, 2013.

calc_total_impact()[source]

Calculate total impacts summing direct and indirect impacts.