Hybrid Input-Output tables for France at year 2010

Published: 24 January 2018| Version 1 | DOI: 10.17632/gyv6hxcwt3.1
, Frédéric Ghersi


The IOT_FranceVal file gives the input-output table in thousands of euro for 29 sectors The IOT_FranceQtities gives the input-output table in quantities for 29 sectors. The energy sectors are in ktoe, the cement and steel and iron sectors in tons, and the others in "pseudo-quantities". The IOT_FrancePrices gives the unitary prices that are consistent with IOT in volume and value for intermediate consumption, final consumption, production and imports. The IOT_FranceCO2Emis gives the energy-consumption related emissions in MtCO2 for intermediate consumption and final consumption.


Steps to reproduce

The IMACLIM hybridisation procedure can be summarised in two main steps that we explain here succinctly using the energy sectors. The first step consists in reorganising the physical datasets - that are the energy balance in million tonnes of oil equivalent (Mtoe) and energy prices in euros per Mtoe – into input-output (IO) formats compatible with that of national accounts. As regards consumptions, this is not only a question of reallocating the physical energy flows of the energy balance to production sectors or households, but it is rather translating the knowledge of energy flows in national account terms. This means sorting out flows which in fact correspond to an economic transaction between national accounting agents, or even combining some of them to compute such flows (e.g. directly assigning to their accounting sectors the fuel consumptions of electricity auto-producers). In a second step trade-offs are made to adjust indicators and to guarantee the accounting balances. It starts with the reconstitution of energy expenses by the term-by-term product of volume and price tables. It then goes on with substituting this table of energy expenditures to that pre-existing in the system of national accounts in order to fully enforce energy statistics within the hybrid IOT. Other components of the system are further adjusted to maintain the accounting identities, without modifying the total value-added (VA) of domestic production. This is done : (i) for the energy sectors, by adjusting all non-energy expenses (including VA) pro rata the adjustment induced on total energy expenses, (ii) for all producing sectors and households, by compensating the difference between the recomputed energy expenditures and the original economic statistics through an adjustment of the expenses on the most aggregated non-energy good—a composite remainder of not specifically described economic activities, usually encompassing all service activities in E3 models. The underlying logic is to focus on the flows we are interested in, and put the rest in a large sector where the error reallocation will be unimportant given the large size of the sector. The procedure has been carried out for 15 energy sectors: crude oil-LNG-feedstocks, natural gas, coking coal, bituminous coal, coke oven coke, other coal products, gasoline, LPG, jet fuel, diesel and heating oil, heavy fuel oil, other petroleum products, biomass & waste, biofuels, electricity, heat/geothermal/solar thermal. An additional hybridisation work has been done to isolate steel & iron sector, and cement sector, and to describe their quantities in tons. We describe eleven other industrial sectors non-hybridised: non-ferrous metals, other non-metallic minerals, building constructions, chemical and pharmaceutical, paper, mining, transport equipments, transport services, agriculture and forestry, fishing, food industry. A composite sector aggregates remaining sectors. Finally, we get IOTs composed by 29 sectors.


Centre International de Recherche sur l'Environnement et le Developpement, Ecole des Ponts ParisTech


Input/Output, Computable General Equilibrium Model, Input-Output Model of Regional Economy