The 2013-2018 Outlook for Light Emitting Diode (LED) Products in Africa

 Published On: Jul, 2013 |    No of Pages: 58 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the outlook for light emitting diode (led) products in Africa. 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). This study gives, however, my estimates for the latent demand, or the P.I.E. for light emitting diode (led) products in Africa. It also shows how the P.I.E. is divided across the national markets of Africa. 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 7
1.1 Overview 7
1.2 What is Latent Demand and the P.I.E.? 7
1.3 The Methodology 8
1.3.1 Step 1. Product Definition and Data Collection 10
1.3.2 Step 2. Filtering and Smoothing 11
1.3.3 Step 3. Filling in Missing Values 12
1.3.4 Step 4. Varying Parameter, Non-linear Estimation 12
1.3.5 Step 5. Fixed-Parameter Linear Estimation 13
1.3.6 Step 6. Aggregation and Benchmarking 13
1.3.7 Step 7. Latent Demand Density: Allocating Across Cities 13
2 AFRICA 15
2.1 Executive Summary 15
2.2 Algeria 16
2.3 Angola 17
2.4 Benin 17
2.5 Botswana 17
2.6 Burkina Faso 19
2.7 Burundi 20
2.8 Cameroon 20
2.9 Cape Verde 21
2.10 Central African Republic 22
2.11 Chad 22
2.12 Comoros 23
2.13 Congo (formerly Zaire) 24
2.14 Cote d'Ivoire 25
2.15 Djibouti 25
2.16 Egypt 26
2.17 Equatorial Guinea 27
2.18 Ethiopia 27
2.19 Gabon 28
2.20 Ghana 29
2.21 Guinea 30
2.22 Guinea-Bissau 30
2.23 Kenya 31
2.24 Lesotho 32
2.25 Liberia 32
2.26 Libya 33
2.27 Madagascar 34
2.28 Malawi 34
2.29 Mali 35
2.30 Mauritania 36
2.31 Mauritius 36
2.32 Morocco 37
2.33 Mozambique 38
2.34 Namibia 38
2.35 Niger 39
2.36 Nigeria 40
2.37 Republic of Congo 41
2.38 Rwanda 41
2.39 Sao Tome E Principe 42
2.40 Senegal 43
2.41 Sierra Leone 43
2.42 Somalia 44
2.43 South Africa 45
2.44 Swaziland 46
2.45 Tanzania 46
2.46 The Gambia 47
2.47 Togo 48
2.48 Tunisia 49
2.49 Uganda 50
2.50 Western Sahara 50
2.51 Zambia 51
2.52 Zimbabwe 52
2.53 Frequently Asked Questions (FAQ) 52
2.53.1 Category Definition 52
2.53.2 Units 53
2.53.3 Methodology 54
3 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 56
3.1 Disclaimers & Safe Harbor 56
3.2 Icon Group International, Inc. User Agreement Provisions 57

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