Nemus provides economic advice to the urban development project of KaTembe Municipal District of the City of Maputo (Mozambique)

KaTembe Municipal District is located on the south bank of Espírito Santo estuary, in Maputo. With a general plan of urbanization recently approved (December 2012), which foresees the urbanization of about 4000 hectares that will house 400 thousand inhabitants in a horizon of 30 to 40 years, KaTembe will stage one of the largest planned urban development operations in recent decades, comparable in size and ambition to experiences like Brasilia (the capital of the Federative Republic of Brazil) or Chandigarh (capital of the Indian states of Punjab and Haryana).

In this context, NEMUS is providing economic technical assistance to BETAR Group, having as end customers the Empresa de Desenvolvimento de Maputo Sul (South Maputo Development Company) and the Municipal Council of Maputo.

These services consist, first, in the conciliation of investment costs associated with different project specialties (roads, water supply, drainage, sanitation, electricity and telecommunications) as well as in the estimate, based on our own methodologies, of the figures for compensation, expropriation, social housing (especially for population resettlement) and public equipment.

Secondly, information on investment costs is analysed in parallel with the dimension in terms of constructability (gross building area) with a dual purpose: on the one hand, support the setup of the implementation programs and financing plans of partial urbanization plans and their allotment operations and, on the other hand, calculate the values of transfer of the right to the use of the land (DUAT) that enable the economic and financial balance of the urbanization process, for alternative scenarios of the granting of infrastructure, i.e. of cost externalization.

In addition to the support provided in the aggregation of information from different backgrounds and specialties of planning and engineering, the economic advice has produced useful elements for fitting the financing model of an operation with a total estimated cost of almost 3 billion US dollars.