The 2016-2021 Outlook for Plastic Packaging Materials and Products in Africa, Europe & the Middle East

 Published On: Jul, 2013 |    No of Pages: 112 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the outlook for plastic packaging materials and products 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-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, Europe & the Middle East). This study gives, however, my estimates for the latent demand, or the P.I.E. for plastic packaging materials and products 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 25
2.11 Belarus 25
2.12 Belgium 26
2.13 Benin 27
2.14 Bosnia and Herzegovina 28
2.15 Botswana 28
2.16 Bulgaria 29
2.17 Burkina Faso 30
2.18 Burundi 31
2.19 Cameroon 31
2.20 Cape Verde 32
2.21 Central African Republic 33
2.22 Chad 33
2.23 Comoros 34
2.24 Congo (formerly Zaire) 35
2.25 Cote d'Ivoire 36
2.26 Croatia 36
2.27 Cyprus 37
2.28 Czech Republic 38
2.29 Denmark 39
2.30 Djibouti 40
2.31 Egypt 40
2.32 Equatorial Guinea 41
2.33 Estonia 42
2.34 Ethiopia 42
2.35 Finland 43
2.36 France 44
2.37 Gabon 45
2.38 Georgia 46
2.39 Germany 47
2.40 Ghana 47
2.41 Greece 48
2.42 Guinea 49
2.43 Guinea-Bissau 49
2.44 Hungary 50
2.45 Iceland 51
2.46 Iran 52
2.47 Iraq 53
2.48 Ireland 54
2.49 Israel 54
2.50 Italy 55
2.51 Jordan 56
2.52 Kazakhstan 57
2.53 Kenya 58
2.54 Kuwait 59
2.55 Kyrgyzstan 60
2.56 Latvia 60
2.57 Lebanon 61
2.58 Lesotho 62
2.59 Liberia 62
2.60 Libya 63
2.61 Liechtenstein 64
2.62 Lithuania 64
2.63 Luxembourg 65
2.64 Madagascar 66
2.65 Malawi 66
2.66 Mali 67
2.67 Malta 68
2.68 Mauritania 68
2.69 Mauritius 69
2.70 Moldova 70
2.71 Monaco 70
2.72 Morocco 71
2.73 Mozambique 72
2.74 Namibia 72
2.75 Niger 73
2.76 Nigeria 74
2.77 Norway 75
2.78 Oman 75
2.79 Pakistan 76
2.80 Palestine 77
2.81 Poland 77
2.82 Portugal 78
2.83 Qatar 79
2.84 Republic of Congo 79
2.85 Romania 80
2.86 Russia 81
2.87 Rwanda 82
2.88 San Marino 82
2.89 Sao Tome E Principe 83
2.90 Saudi Arabia 84
2.91 Senegal 85
2.92 Sierra Leone 85
2.93 Slovakia 86
2.94 Slovenia 87
2.95 Somalia 87
2.96 South Africa 88
2.97 Spain 89
2.98 Swaziland 90
2.99 Sweden 90
2.100 Switzerland 91
2.101 Syrian Arab Republic 92
2.102 Tajikistan 93
2.103 Tanzania 94
2.104 The Gambia 94
2.105 The Netherlands 95
2.106 The United Arab Emirates 96
2.107 The United Kingdom 97
2.108 Togo 98
2.109 Tunisia 99
2.110 Turkey 100
2.111 Turkmenistan 101
2.112 Uganda 101
2.113 Ukraine 102
2.114 Uzbekistan 103
2.115 Western Sahara 104
2.116 Yemen 105
2.117 Zambia 105
2.118 Zimbabwe 106
2.119 Frequently Asked Questions (FAQ) 107
2.119.1 Category Definition 107
2.119.2 Units 107
2.119.3 Methodology 108
3 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 110
3.1 Disclaimers & Safe Harbor 110
3.2 Icon Group International, Inc. User Agreement Provisions 111

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