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Maersk vessel Suez

Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH

The green impacts from pre-arrival/pre-departure processing


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The Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH has partnered with the United Nations Conferences on Trade And Development (UNCTAD) and Maersk to launch the Digitizing Global Maritime

Trade (DGMT) project.

The results of the DGMT project will enable any ASYCUDA–using country and data-provider to exchange data on trade by any mode of transport, with a potentially huge impact on time and cost of international trade.

QBIS has been commissioned to carry out the baseline and impact assessment of the DGMT project using the Total Transport and Logistics Costs (TTLC) methodology developed by QBIS and Maersk in conjunction with other impact studies in Africa, Asia and Latin America.

The TTLC assessments target both time and costs as well as emissions from the DGMT project. The baseline results were completed in 2023, while the impact assessment results are expected by the end of 2024.


As part of the DGMT project, ASYHUB, an open standardized platform for data processing and data integration between ASYCUDA World and other external systems, is being developed and piloted with Customs in Cambodia and Sri Lanka to enable pre-arrival processing (PAP) and pre-departure processing (PDP).

Initially, QBIS was commissioned by Maersk to carry out a TTLC of the time and cost impacts of the DGMT project. However, in 2021, GIZ decided to test the validity of the TTLC methodology to also assess the potential green impacts of the DGMT project and possibly other trade facilitation projects.

The use of the TTLC methodology for assessing green impacts was a completely new exercise and the results provide new knowledge and insights into the energy consumption and emissions associated with international containerized trade and, in particular, the contribution of supply chain inefficiencies and the potential of trade facilitation projects such as the DGMT project to reduce such inefficiencies.

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