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The role of institutional arrangements in the compilation of international merchandise trade and related statistics in Africa

International merchandise trade statistics (IMTS) record the goods crossing a country’s border, either into or out of the country. IMTS measures quantities and values of goods (imports or exports).
IMTS are compiled from reports or electronic transmissions sent by importers and exporters (or their agents) to the customs and excise agency or to the IMTS compiler (i.e. statistical agency). This data is later relayed from the national statistics office to the United Nations Statistics Office. The United Nations Statistical Division makes the international trade data available on its several platforms including the UN COMTRADE. The same data is also submitted to other related institutions and portals dealing with trade such as UNCTAD Stats, International Trade Centre, and the World Trade Organisation.
Trade statistics are crucial to make good policies for economic development, good governance, transparency and a fundamental aspect of providing access to information on trade. The availability of timely, good quality international trade statistics is critical for the measuring of production, consumption, employment at national level.
However, IMTS is scant in Africa. Some African countries do not report their data at all or on time which makes it difficult to assess levels of production, trade and consumption at national, regional and continental levels. To enable high quality trade data, the African Union, in collaboration with the International Trade Centre, has established the African Trade Observatory (ATO), a website where all African countries submit their trade data and it is compiled, assessed and published by the ATO. The publication by the ATO ensures that the trade data is harmonized. IMTS also ensures that producers and consumers within Africa are connected. Accurate and timely collation and reporting of IMTS in Africa is important for the implementation of the African Continental Free Trade Area (AfCFTA) and boosting intra-Africa trade in goods and services. Monitoring the implementation and impact of the AfCFTA will benefit immensely from high quality data illustrating the efficiency of the trade policies put in place to govern the Agreement.
The AfCFTA Agreement illustrates that it shall be governed by transparency and disclosure of information.[1] This puts a mandate on African countries to provide transparent trade data. However, this obligation has a limitation of confidentiality in the same vein. Crucial to note is that transparency and disclosure is only achievable to the extent that the transparency and confidentiality clauses that resonate with the political climate.
IMTS ensure that producers and consumers within Africa are connected and the data regarding quantity of goods required from one point to another, there ought to be quality data being produced at both the national level (by each African country) and at continental level (where the national data is made available for easy access). There is need to look at selected African countries and the extent to which they compile their trade data and the need for institutional arrangements in data compilation for African countries.
Harmonized and high-quality trade statistics data become very important to support trade negotiations. There is also a need to get comprehensive, detailed, and reliable statistics on merchandise trade in Africa. Moreover, trade statistics (for both intra and extra-Africa trade) are needed to evaluate the effectiveness of the trade policies and measure whether the AfCFTA is boosting intra-African trade and economic development of the continent.
All African countries have national statistics institutions (departments/offices (see Annex 1) and have websites. (Eritrea’s National Statistics Office does not have a website). However, the trade data and statistics are not always available on the websites of these institutions. Sometimes when the data is available is out-dated. The process to get or access data is often cumbersome. It may be necessary to contact the Statistics office to request that information. Sometimes the data is accessible but not in user-friendly format. For example, the data is published is one language (e.g. English, French, Arab) or in pdf format which makes it difficult to translate or work on.
Coordination and cooperation between governmental bodies participating in the compilation of a country ‘s official trade statistics is essential. Government entities such as national statistical offices, customs administrations, central banks, tax authorities, the ministry of trade and other specialized governmental bodies such as, commodity boards, trade development boards[2] are all part of the international trade data value chain. It is important that the institutions have the requisite skills to support the collection and compilation of merchandise trade statistics compilation.
Effective institutional arrangements are characterized by (a) the designation of the agency responsible for the dissemination of official trade statistics, (b) a clear definition of the rights and responsibilities of all agencies involved and (c) the establishment of formalized working arrangements between agencies including agreements on holding inter-agency working meetings as needed.
The establishment and maintenance of effective institutional relevant to international merchandise trade statistics can be greatly facilitated if the national law contains clear provisions with respect to the roles, rights and responsibilities of those agencies as well as the mechanisms of their cooperation.[3] If such provisions and mechanism of cooperation are lacking or are not sufficiently detailed, then it might be more difficult, and time consuming, to establish effective institutional arrangements.[4]
Annex 1: African countries’ statistics departments/offices
Member State |
Institution which provided the information |
Website of institution |
|
1
|
Algeria
|
Direction Générale des Douanes (DGD)
|
|
2
|
Angola
|
Instituto Nacional de Estatística
|
|
3
|
Benin
|
Institut National de la Statistique et de l’Analyse Economique
|
|
4
|
Botswana
|
Statistics Botswana
|
|
5
|
Burkina Faso
|
Institut National de la Statistique et de la démographie
|
|
6
|
Burundi
|
Institut de Statistiques et d’Etudes Economiques
|
|
7
|
Cabo Verde
|
Instituto Nacional de Estatística
|
|
8
|
Cameroon
|
Institut National de la Statistique
|
|
9
|
Central African Republic
|
--
|
--
|
10
|
Chad
|
Institut National de la Statistique, des Etudes Economiques et Démographiques
|
|
11
|
Comoros
|
Institut Nationale de la Statistique et des Etudes Economiques et Démographiques
|
|
12
|
Democratic Republic of Congo
|
Institut National de la Statistique
|
|
13
|
Congo
|
Institut National de la Statistique
|
|
14
|
Cote d’Ivoire
|
Institut National de la Statistique
|
|
15
|
Djibouti
|
Direction Statistique et des Études Démographique
|
|
16
|
Egypt
|
Central Agency for Public Mobilization and Statistics
|
|
17
|
Equatorial Guinea
|
Instituto Nacional de Estadística de Guinea Ecuatorial
|
|
18
|
Eritrea
|
National Statistics Office
|
None
|
19
|
Eswatini
|
Central Statistics Office
|
|
20
|
Ethiopia
|
Central Statistical Agency
|
|
21
|
Gabon
|
Direction Générale des Statistiques
|
|
22
|
Gambia
|
The Gambia Bureau of Statistics
|
|
23
|
Ghana
|
Ghana Statistical Service
|
|
24
|
Guinea
|
Institut National de la Statistique
|
|
25
|
Guinea-Bissau
|
Instituto Nacional de Estatística
|
|
26
|
Kenya
|
Kenya National Bureau of Statistics
|
|
27
|
Lesotho
|
Lesotho Bureau of Statistics
|
|
28
|
Liberia
|
Liberia Institute of Statistics & Geo-Information Services
|
|
29
|
Libya
|
Bureau of Statistics and Census Libya
|
|
30
|
Madagascar
|
Institut national de la statistique
|
|
31
|
Malawi
|
National Statistical Office
|
|
32
|
Mali
|
Institut National de la Statistique
|
|
33
|
Mauritania
|
Office National de la Statistique
|
|
34
|
Mauritius
|
Statistics Mauritius
|
|
35
|
Morocco
|
Haut Commissariat au Plan
|
|
36
|
Mozambique
|
Instituto Nacional de Estatística
|
|
37
|
Namibia
|
Namibia Statistics Agency
|
|
38
|
Niger
|
Institut National de la Statistique
|
|
39
|
Nigeria
|
National Bureau of Statistics
|
|
40
|
Rwanda
|
National Institute of Statistics
|
|
41
|
Sahrawi Arab Democratic Republic
|
---
|
--
|
42
|
Sao Tome and Principe
|
Instituto Nacional de Estatísticas
|
|
43
|
Seychelles
|
National Bureau of Statistics
|
|
44
|
Sierra Leone
|
Statistics Sierra Leone
|
|
45
|
Somalia
|
Somali Statistics Bureau
|
|
46
|
South Africa
|
Statistics South Africa
|
|
47
|
South Sudan
|
National Bureau of Statistics
|
|
48
|
Sudan
|
Central Bureau of Statistics
|
|
49
|
Tanzania
|
National Bureau of Statistics
|
|
50
|
Togo
|
Institut National de la Statistique et des Etudes Economiques et Demographiques
|
|
51
|
Tunisia
|
National Institute of Statistics
|
|
52
|
Uganda
|
Uganda Bureau of Statistics
|
|
53
|
Zambia
|
Zambia Statistics Agency
|
|
54 |
Zimbabwe |
Zimbabwe National Statistics Agency |
From: African Union: African Trade Statistics
[1] Article 5(e) of the Agreement Establishing the African Continental Free Trade Area
[2] United Nations, “International Merchandise Trade Statistics: Compilers Manual, Revision 1 (IMTS 2010-CM),” New York, 2013.
[3] See IMTS 2010, para. 8.16.
[4] United Nations, International Merchandise Trade Statistics: Compilers Manual, Revision 1 (IMTS 2010-CM).
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