BFA_2007_EIC_v01_M
Enquête sur l'Industrie du Camionnage 2007
Trucking Industry Survey
Name | Country code |
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Burkina Faso | BFA |
Household Survey & Census
Catalog of Trucking Surveys for nine sub-Saharan Africa countries is maintained by the Africa Transport unit (AFTTR). The trucking surveys include nine sub-Saharan African countries. Each survey contains data for approximately 20 trucking companies and 60 truck owner-operators. Seven of the nine national surveys (i.e. Cameroon, Chad, Ghana, Burkina Faso, Kenya, Uganda and Zambia) were conducted for the "Transport Prices and Costs in Africa: A Review of the Main International Corridors" study by Supee Teravaninthorn and Gael Raballand (2008) mostly focusing on the trucking service on international corridors. The other two national trucking surveys (Malawi and Northern Mozambique) follow a slightly different approach with respect to sample selection mostly focusing on the link between the high agro-producing towns, the major cities and the exporting ports and using a revise survey instrument. All the surveys were performed by the Etude Economique Conseil (EEC) in 2007 and 2008 and financed by the World Bank.
Sample survey data [ssd]
Major Cities
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Etude Economique Conseil |
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World Bank |
The Trucking Survey in Burkina Faso targeted trucking companies and companies conducting their own transportation, as well as individual truckers.
For the purpose of this survey, trucking companies and companies conducting their own transport constituted the first sampling stratum. A trucking company was defined as a business conducting trucking as its main operation and employing five or more full-time paid permanent persons. A company conducting its own transportation was defined as a business, employing five of more full-time paid persons, for which trucking was not the main operation but which was conducting the majority of its own transportation.
The second sampling stratum consisted of individual truckers. A trucker was defined as someone conducting trucking as his/her main business operation and employing less than 5 full-time paid permanent persons.
All companies and truckers surveyed serve at least a portion of the following routes:
? Ouagadougou-Bobo-dioulasso
? Ouagadougou-Wa
? Ouagadougou-Accra
? Ouagadougou-Bolgatanga
? Ouagadougou-Lomé
? Ouagadougou-Abidjan
Companies with five or more full-time paid permanent employees
A list of Burkina's trucking operators with 5 or more full-time paid permanent employees was obtained from national sources and was completed and updated during the pilot phase of the survey. The EEC team validated the list by drawing a random sample of establishments from it and attempting to contact them. This also allowed classifying the establishments according to size. Following the list validation process, the sample frame consisted of a population of 55 establishments.
Attempts were then made to contact each of these 55 establishments to participate in the survey, with final statuses as follows:
? 6 closed
? 21 unreachable despite repeated attempts by phone
? 10 refused to participate
? 18 agreed to participate
Thus eighteen trucking interviews were carried out, amongst which two with trucking companies conducting their own transportation.
EEC Canada selected an aerial sampling approach to estimate the population of establishments and select the sample in this stratum according to the routes to be covered for several reasons, the most important being the size of the operators falling under this category. Since they must be employing less than five full-time permanent employees, they are small establishments. Hence it is expected that these businesses face high rate of turnovers as well as a high level of "informality". Consequently, it becomes difficult to obtain trustworthy information from official sources. EEC Canada randomly selected individual truckers to survey by using the following procedure: i. Selection of districts and specific zones in each area where lorry parks are found or where truckers usually off-load; ii. Count of all truckers who generally stop in these specific locations; iii. Based on this count, creation of a virtual list and selection of truckers at random from that virtual list; and iv. Based on the ratio between the number selected in each specific district or zone and the total population in that zone, creation and application of a skip rule for selecting establishments in each specific district or zone. The districts and the specific zones were selected at first according to national sources. The EEC team then went in the field to verify these national sources as well as to count the number of truckers. Once the count for each zone was completed, the numbers were sent back to EEC head office in Montreal. At the head office, the count by zone was converted into a list of sequential numbers for the whole survey region. A computer program then performed a random selection of a determined number of establishments from the list. Based on the number of truckers that the computer selected in every specific district or zone, a skip rule was defined to select truckers to survey in each. The skip rules were sent back to the EEC field team. Enumerators were sent to each district or zone with instructions as to how to apply the different skip rules defined for the districts or zones they were covering as well as how to select replacements in the event of a refusal or other cause of non-participation.
Start | End |
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2007 | 2007 |
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World Bank AFR Household Survey Databank MSN J8-811 1818 H Street NW Washington DC 20433 United States Email afrdatabank@worldbank.org Web http://www.worldbank.org/afr/poverty/databank |
Organization name |
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World Bank 1818 H Street NW Washington DC 20433 United States Tel 1-202-473-1000 Fax 1-202-477-6391 Email info@worldbank.org Web http://www.worldbank.org |
Use of the dataset must be acknowledged using a citation which would include:
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | URL | |
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The World Bank | info@worldbank.org | http://www.worldbank.org/ |
DDI_WB_BFA_2007_EIC_v01_M
Name | Affiliation | Role |
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Development Economics Data Group | World Bank | Documentation of the DDI |
2012-03-08
Version 01 (March 2012)