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This econometric study covers the outlook for air traffic control equipment in Africa & the Middle East. For each year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the country in question (in millions of U.S. dollars), the percent share the country is of the region and of the globe. These comparative benchmarks allow the reader to quickly gauge a country vis-à-vis others. Using econometric models which project fundamental economic dynamics within each country and across countries, latent demand estimates are created. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved.
This study does not report actual sales data (which are simply unavailable, in a comparable or consistent manner in virtually all of the countries in Africa & the Middle East). This study gives, however, my estimates for the latent demand, or the P.I.E. for air traffic control equipment in Africa & the Middle East. It also shows how the P.I.E. is divided across the national markets of Africa & the Middle East. For each country, I also show my estimates of how the P.I.E. grows over time (positive or negative growth). In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on international strategic planning at graduate schools of business.
Table Of Contents:
1 INTRODUCTION 81.1 Overview 81.2 What is Latent Demand and the P.I.E.? 81.3 The Methodology 91.3.1 Step 1. Product Definition and Data Collection 111.3.2 Step 2. Filtering and Smoothing 121.3.3 Step 3. Filling in Missing Values 131.3.4 Step 4. Varying Parameter, Non-linear Estimation 131.3.5 Step 5. Fixed-Parameter Linear Estimation 141.3.6 Step 6. Aggregation and Benchmarking 141.3.7 Step 7. Latent Demand Density: Allocating Across Cities 142 AFRICA & THE MIDDLE EAST 162.1 Executive Summary 162.2 Afghanistan 172.3 Algeria 182.4 Angola 182.5 Armenia 202.6 Azerbaijan 212.7 Bahrain 212.8 Benin 222.9 Botswana 232.10 Burkina Faso 242.11 Burundi 242.12 Cameroon 252.13 Cape Verde 262.14 Central African Republic 262.15 Chad 272.16 Comoros 282.17 Congo (formerly Zaire) 282.18 Cote d'Ivoire 292.19 Djibouti 302.20 Egypt 302.21 Equatorial Guinea 312.22 Ethiopia 322.23 Gabon 332.24 Ghana 332.25 Guinea 342.26 Guinea-Bissau 352.27 Iran 352.28 Iraq 362.29 Israel 372.30 Jordan 382.31 Kenya 392.32 Kuwait 402.33 Kyrgyzstan 402.34 Lebanon 412.35 Lesotho 422.36 Liberia 422.37 Libya 432.38 Madagascar 442.39 Malawi 442.40 Mali 452.41 Mauritania 462.42 Mauritius 462.43 Morocco 472.44 Mozambique 482.45 Namibia 482.46 Niger 492.47 Nigeria 502.48 Oman 512.49 Pakistan 512.50 Palestine 522.51 Qatar 532.52 Republic of Congo 532.53 Rwanda 542.54 Sao Tome E Principe 552.55 Saudi Arabia 552.56 Senegal 562.57 Sierra Leone 572.58 Somalia 572.59 South Africa 582.60 Swaziland 592.61 Syrian Arab Republic 592.62 Tajikistan 602.63 Tanzania 612.64 The Gambia 612.65 The United Arab Emirates 622.66 Togo 632.67 Tunisia 642.68 Turkey 652.69 Turkmenistan 662.70 Uganda 662.71 Uzbekistan 672.72 Western Sahara 682.73 Yemen 692.74 Zambia 692.75 Zimbabwe 702.76 Frequently Asked Questions (FAQ) 712.76.1 Category Definition 712.76.2 Units 712.76.3 Methodology 723 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 743.1 Disclaimers & Safe Harbor 743.2 Icon Group International, Inc. User Agreement Provisions 75