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This econometric study covers the outlook for aircraft maintenance, repair, and overhaul (mro) services 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-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 Europe). This study gives, however, my estimates for the latent demand, or the P.I.E. for aircraft maintenance, repair, and overhaul (mro) services 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 81.1 Overview 81.2 What is Latent Demand and the P.I.E.? 81.3 The Methodology 91.3.1 Step 1. Product Definition and Data Collection 111.3.2 Step 2. Filtering and Smoothing 121.3.3 Step 3. Filling in Missing Values 131.3.4 Step 4. Varying Parameter, Non-linear Estimation 131.3.5 Step 5. Fixed-Parameter Linear Estimation 141.3.6 Step 6. Aggregation and Benchmarking 141.3.7 Step 7. Latent Demand Density: Allocating Across Cities 142 EUROPE 162.1 Executive Summary 162.2 Albania 172.3 Andorra 182.4 Austria 182.5 Belarus 202.6 Belgium 212.7 Bosnia and Herzegovina 222.8 Bulgaria 232.9 Croatia 242.10 Cyprus 252.11 Czech Republic 252.12 Denmark 262.13 Estonia 272.14 Finland 282.15 France 292.16 Georgia 302.17 Germany 312.18 Greece 322.19 Hungary 332.20 Iceland 342.21 Ireland 352.22 Italy 352.23 Kazakhstan 362.24 Latvia 372.25 Liechtenstein 382.26 Lithuania 392.27 Luxembourg 392.28 Malta 402.29 Moldova 412.30 Monaco 412.31 Norway 422.32 Poland 432.33 Portugal 442.34 Romania 452.35 Russia 462.36 San Marino 472.37 Slovakia 472.38 Slovenia 482.39 Spain 492.40 Sweden 502.41 Switzerland 512.42 The Netherlands 522.43 The United Kingdom 532.44 Ukraine 542.45 Frequently Asked Questions (FAQ) 542.45.1 Category Definition 542.45.2 Units 552.45.3 Methodology 563 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 583.1 Disclaimers & Safe Harbor 583.2 Icon Group International, Inc. User Agreement Provisions 59