The 2016-2021 Outlook for Railroads 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 railroads 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 railroads 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 17
2.6 Belgium 18
2.7 Bosnia and Herzegovina 19
2.8 Bulgaria 20
2.9 Croatia 21
2.10 Cyprus 21
2.11 Czech Republic 22
2.12 Denmark 23
2.13 Estonia 24
2.14 Finland 24
2.15 France 25
2.16 Georgia 26
2.17 Germany 27
2.18 Greece 28
2.19 Hungary 29
2.20 Iceland 30
2.21 Ireland 31
2.22 Italy 31
2.23 Kazakhstan 32
2.24 Latvia 33
2.25 Liechtenstein 34
2.26 Lithuania 35
2.27 Luxembourg 35
2.28 Malta 36
2.29 Moldova 37
2.30 Monaco 37
2.31 Norway 38
2.32 Poland 39
2.33 Portugal 40
2.34 Romania 41
2.35 Russia 42
2.36 San Marino 43
2.37 Slovakia 43
2.38 Slovenia 44
2.39 Spain 45
2.40 Sweden 46
2.41 Switzerland 47
2.42 The Netherlands 48
2.43 The United Kingdom 49
2.44 Ukraine 50
2.45 Frequently Asked Questions (FAQ) 50
2.45.1 Category Definition 50
2.45.2 Units 51
2.45.3 Methodology 52
3 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 54
3.1 Disclaimers & Safe Harbor 54
3.2 Icon Group International, Inc. User Agreement Provisions 55

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