The 2016-2021 Outlook for Refrigerated Transportation in Africa, Europe & the Middle East

 Published On: Jul, 2013 |    No of Pages: 110 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the outlook for refrigerated transportation in Africa, Europe & 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, Europe & the Middle East). This study gives, however, my estimates for the latent demand, or the P.I.E. for refrigerated transportation in Africa, Europe & the Middle East. It also shows how the P.I.E. is divided across the national markets of Africa, Europe & 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 9
1.1 Overview 9
1.2 What is Latent Demand and the P.I.E.? 9
1.3 The Methodology 10
1.3.1 Step 1. Product Definition and Data Collection 12
1.3.2 Step 2. Filtering and Smoothing 13
1.3.3 Step 3. Filling in Missing Values 14
1.3.4 Step 4. Varying Parameter, Non-linear Estimation 14
1.3.5 Step 5. Fixed-Parameter Linear Estimation 15
1.3.6 Step 6. Aggregation and Benchmarking 15
1.3.7 Step 7. Latent Demand Density: Allocating Across Cities 15
2 AFRICA, EUROPE & THE MIDDLE EAST 17
2.1 Executive Summary 17
2.2 Afghanistan 18
2.3 Albania 19
2.4 Algeria 20
2.5 Andorra 21
2.6 Angola 21
2.7 Armenia 22
2.8 Austria 23
2.9 Azerbaijan 24
2.10 Bahrain 24
2.11 Belarus 25
2.12 Belgium 26
2.13 Benin 27
2.14 Bosnia and Herzegovina 27
2.15 Botswana 28
2.16 Bulgaria 29
2.17 Burkina Faso 30
2.18 Burundi 30
2.19 Cameroon 31
2.20 Cape Verde 32
2.21 Central African Republic 32
2.22 Chad 33
2.23 Comoros 34
2.24 Congo (formerly Zaire) 34
2.25 Cote d'Ivoire 35
2.26 Croatia 36
2.27 Cyprus 36
2.28 Czech Republic 37
2.29 Denmark 38
2.30 Djibouti 39
2.31 Egypt 39
2.32 Equatorial Guinea 40
2.33 Estonia 41
2.34 Ethiopia 41
2.35 Finland 42
2.36 France 43
2.37 Gabon 44
2.38 Georgia 45
2.39 Germany 46
2.40 Ghana 46
2.41 Greece 47
2.42 Guinea 48
2.43 Guinea-Bissau 48
2.44 Hungary 49
2.45 Iceland 50
2.46 Iran 51
2.47 Iraq 52
2.48 Ireland 53
2.49 Israel 53
2.50 Italy 54
2.51 Jordan 55
2.52 Kazakhstan 56
2.53 Kenya 57
2.54 Kuwait 58
2.55 Kyrgyzstan 59
2.56 Latvia 59
2.57 Lebanon 60
2.58 Lesotho 61
2.59 Liberia 61
2.60 Libya 62
2.61 Liechtenstein 63
2.62 Lithuania 63
2.63 Luxembourg 64
2.64 Madagascar 65
2.65 Malawi 65
2.66 Mali 66
2.67 Malta 67
2.68 Mauritania 67
2.69 Mauritius 68
2.70 Moldova 69
2.71 Monaco 69
2.72 Morocco 70
2.73 Mozambique 71
2.74 Namibia 71
2.75 Niger 72
2.76 Nigeria 73
2.77 Norway 74
2.78 Oman 74
2.79 Pakistan 75
2.80 Palestine 76
2.81 Poland 76
2.82 Portugal 77
2.83 Qatar 78
2.84 Republic of Congo 78
2.85 Romania 79
2.86 Russia 80
2.87 Rwanda 81
2.88 San Marino 81
2.89 Sao Tome E Principe 82
2.90 Saudi Arabia 83
2.91 Senegal 84
2.92 Sierra Leone 84
2.93 Slovakia 85
2.94 Slovenia 86
2.95 Somalia 86
2.96 South Africa 87
2.97 Spain 88
2.98 Swaziland 89
2.99 Sweden 89
2.100 Switzerland 90
2.101 Syrian Arab Republic 91
2.102 Tajikistan 92
2.103 Tanzania 93
2.104 The Gambia 93
2.105 The Netherlands 94
2.106 The United Arab Emirates 95
2.107 The United Kingdom 95
2.108 Togo 96
2.109 Tunisia 97
2.110 Turkey 98
2.111 Turkmenistan 99
2.112 Uganda 99
2.113 Ukraine 100
2.114 Uzbekistan 101
2.115 Western Sahara 102
2.116 Yemen 103
2.117 Zambia 103
2.118 Zimbabwe 104
2.119 Frequently Asked Questions (FAQ) 105
2.119.1 Category Definition 105
2.119.2 Units 105
2.119.3 Methodology 106
3 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 108
3.1 Disclaimers & Safe Harbor 108
3.2 Icon Group International, Inc. User Agreement Provisions 109

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