FINANCING CITIES IN THE GLOBAL ECONOMY - PowerPoint PPT Presentation

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FINANCING CITIES IN THE GLOBAL ECONOMY

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Title: Slide 1 Author: Asiimwe Denis Kangere Last modified by: Asiimwe Denis Kangere Created Date: 5/16/2005 10:03:22 AM Document presentation format – PowerPoint PPT presentation

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Title: FINANCING CITIES IN THE GLOBAL ECONOMY


1
FINANCING CITIES IN THE GLOBAL ECONOMY LOCATION
AND GEOGRAPHICAL ECONOMICS Liga Mieze Denis
Assimwe Kangere Bizuneh Gultu Lakew Camilo Mendoza
May 2005 IHS- Rotterdam
2
Colombia General Information
  • Mid Point between North and South America
  • 2 Oceans Atlantic Pacific
  • Spanish language

Source Biological Resources Investigation
Institute Alexander Von Humboldt, 2000
3
Colombia General Information
  • Why Colombia?
  • Because of its location could be a bridge
    between North and South America
  • In negotiation a Free Trade Treaty with USA
  • Analysing a Latin American Country
  • 1,141,748 km2 inland 928.660 km2 on water
  • Population 46 million
  • 72 in cities

Source IGAC
4
Urbanisation
  • Colombia turned from a mainly rural country to an
    urban one in the last half century as a result
    of
  • industrialization / diversification of exports
    (mining products)
  • agriculture technology improvement
  • development of third sector activities
  • rural violence
  • high birth rates
  • revenue concentration

5
36 of the population live in the selected cities
Source Dane
6
(No Transcript)
7
Simulation Assumptions
  • Delta 0.67 reflects the percentage of expenses on
    manufacturing
  • Epsilon as provided by model
  • Tau(congestion parameter) small deviation large
    deviations used
  • Stop criterion and adjustment speed as provided
    by the model
  • Initial distribution of mobile immobile workers
    based on the population
  • Distances based on time of travel between the
    different cities

8
Base Scenario Distribution of Workers
9
Scenario 1
  • With tau at 0.2 and transport cost fixed at
    1.3,we observe a tendency to spread

10
Scenario2
  • With tau increased to 0.3 and transport cost
    still fixed at 1.3,we observe a tendency to
    spread to the cities to the far right

11
Scenario 3
  • With tau at 0.4 and transport cost fixed at
    1.3,we observe a tendency to spread

12
Conclusions
  • City 12(Tunja) tends to attract the mobile
    workers as the congestion increases
  • Promote policies that improve the connectivity of
    the other cities
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