Abstract: . . .  are aimed to provide in-depth information of a particular type of fuel or activity. For example, fuel wood is divided into different components such as primary fuelwood, wood residues, sawdust, furthermore production of fuelwood is disaggregated according to its sources such as fuelwood from natural forests, fuelwood from on-farm forests etc. AIT database provides the data for both: fuel wood and charcoal. Data are presented in mass unit (thousand tons). They are converted into volume unit as follows: Fuelwood total (cubic meter) = Fuelwood (tons)/d + imported charcoal (in tons) )/(eff * d), where "eff" and "d" have the same values as in the UN statistics. 26 The main characteristic of AIT database is that no data based on estimation. Whatever . . .
. . .  data (data for a few years). The database presents data tables in aggregated and detailed forms. Aggregated tables present main biomass energy commodities such as fuelwood, charcoal, agricultural residues, dung, biogas, municipal wastes and wood derived liquid fuel (e.g., black liquor, ethanol, methanol) in columns and time series data in rows. Data tables are designed for each type of activities or flow like resources/reserves, production, trade (imports/exports), total supply, transformation and final consumption. Consumption data are also presented by types of economic sectors (e.g., household sector, commercial and service sector, industrial sector and others). Detailed tables are aimed to provide in-depth information of a particular type . . .
. . .  "eff" and "d" have the same values as in the UN statistics. 26 The main characteristic of AIT database is that no data based on estimation. Whatever data are available are taken from the published or prepared (but not published) statistics of national level institutions. Most of the existing data are taken from regular publications and provides time series, however, some data are taken from special studies, reports and correspond to the particular point of time. 27 Table A1. Institutions and comparative terminology currently used 28 29  . . .
. . .  commodities such as fuelwood, charcoal, agricultural residues, dung, biogas, municipal wastes and wood derived liquid fuel (e.g., black liquor, ethanol, methanol) in columns and time series data in rows. Data tables are designed for each type of activities or flow like resources/reserves, production, trade (imports/exports), total supply, transformation and final consumption. Consumption data are also presented by types of economic sectors (e.g., household sector, commercial and service sector, industrial sector and others). Detailed tables are aimed to provide in-depth information of a particular type of fuel or activity. For example, fuel wood is divided into different components such as primary fuelwood, wood residues, sawdust, furthermore production . . .
--3000,4,375,3083,51295