The 2016-2021 Outlook for Aircraft Leasing in Africa & the Middle East

 Published On: Jul, 2013 |    No of Pages: 76 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the outlook for aircraft leasing 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--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 aircraft leasing 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 8
1.1 Overview 8
1.2 What is Latent Demand and the P.I.E.? 8
1.3 The Methodology 9
1.3.1 Step 1. Product Definition and Data Collection 11
1.3.2 Step 2. Filtering and Smoothing 12
1.3.3 Step 3. Filling in Missing Values 13
1.3.4 Step 4. Varying Parameter, Non-linear Estimation 13
1.3.5 Step 5. Fixed-Parameter Linear Estimation 14
1.3.6 Step 6. Aggregation and Benchmarking 14
1.3.7 Step 7. Latent Demand Density: Allocating Across Cities 14
2 AFRICA & THE MIDDLE EAST 16
2.1 Executive Summary 16
2.2 Afghanistan 17
2.3 Algeria 18
2.4 Angola 18
2.5 Armenia 20
2.6 Azerbaijan 21
2.7 Bahrain 21
2.8 Benin 22
2.9 Botswana 23
2.10 Burkina Faso 24
2.11 Burundi 24
2.12 Cameroon 25
2.13 Cape Verde 26
2.14 Central African Republic 26
2.15 Chad 27
2.16 Comoros 28
2.17 Congo (formerly Zaire) 28
2.18 Cote d'Ivoire 29
2.19 Djibouti 30
2.20 Egypt 30
2.21 Equatorial Guinea 31
2.22 Ethiopia 32
2.23 Gabon 33
2.24 Ghana 33
2.25 Guinea 34
2.26 Guinea-Bissau 35
2.27 Iran 35
2.28 Iraq 36
2.29 Israel 37
2.30 Jordan 38
2.31 Kenya 39
2.32 Kuwait 40
2.33 Kyrgyzstan 40
2.34 Lebanon 41
2.35 Lesotho 42
2.36 Liberia 42
2.37 Libya 43
2.38 Madagascar 44
2.39 Malawi 44
2.40 Mali 45
2.41 Mauritania 46
2.42 Mauritius 46
2.43 Morocco 47
2.44 Mozambique 48
2.45 Namibia 48
2.46 Niger 49
2.47 Nigeria 50
2.48 Oman 51
2.49 Pakistan 51
2.50 Palestine 52
2.51 Qatar 53
2.52 Republic of Congo 53
2.53 Rwanda 54
2.54 Sao Tome E Principe 55
2.55 Saudi Arabia 55
2.56 Senegal 56
2.57 Sierra Leone 57
2.58 Somalia 57
2.59 South Africa 58
2.60 Swaziland 59
2.61 Syrian Arab Republic 59
2.62 Tajikistan 60
2.63 Tanzania 61
2.64 The Gambia 61
2.65 The United Arab Emirates 62
2.66 Togo 63
2.67 Tunisia 64
2.68 Turkey 65
2.69 Turkmenistan 66
2.70 Uganda 66
2.71 Uzbekistan 67
2.72 Western Sahara 68
2.73 Yemen 69
2.74 Zambia 69
2.75 Zimbabwe 70
2.76 Frequently Asked Questions (FAQ) 71
2.76.1 Category Definition 71
2.76.2 Units 71
2.76.3 Methodology 72
3 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 74
3.1 Disclaimers & Safe Harbor 74
3.2 Icon Group International, Inc. User Agreement Provisions 75

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