The 2016-2021 Outlook for Air Traffic Control Equipment in Europe

 Published On: Jul, 2013 |    No of Pages: 57 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the outlook for air traffic control equipment in Europe. 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 Europe). This study gives, however, my estimates for the latent demand, or the P.I.E. for air traffic control equipment in Europe. It also shows how the P.I.E. is divided across the national markets of Europe. 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 11
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 EUROPE 15
2.1 Executive Summary 15
2.2 Albania 16
2.3 Andorra 17
2.4 Austria 17
2.5 Belarus 18
2.6 Belgium 19
2.7 Bosnia and Herzegovina 20
2.8 Bulgaria 21
2.9 Croatia 22
2.10 Cyprus 22
2.11 Czech Republic 23
2.12 Denmark 24
2.13 Estonia 25
2.14 Finland 25
2.15 France 26
2.16 Georgia 27
2.17 Germany 28
2.18 Greece 29
2.19 Hungary 30
2.20 Iceland 31
2.21 Ireland 32
2.22 Italy 32
2.23 Kazakhstan 33
2.24 Latvia 34
2.25 Liechtenstein 35
2.26 Lithuania 36
2.27 Luxembourg 36
2.28 Malta 37
2.29 Moldova 38
2.30 Monaco 38
2.31 Norway 39
2.32 Poland 40
2.33 Portugal 41
2.34 Romania 42
2.35 Russia 43
2.36 San Marino 44
2.37 Slovakia 44
2.38 Slovenia 45
2.39 Spain 46
2.40 Sweden 47
2.41 Switzerland 48
2.42 The Netherlands 49
2.43 The United Kingdom 50
2.44 Ukraine 51
2.45 Frequently Asked Questions (FAQ) 51
2.45.1 Category Definition 51
2.45.2 Units 52
2.45.3 Methodology 53
3 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 55
3.1 Disclaimers & Safe Harbor 55
3.2 Icon Group International, Inc. User Agreement Provisions 56

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