The 2016-2021 Outlook for Railroads in Asia & Oceana

 Published On: Jul, 2013 |    No of Pages: 56 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the outlook for railroads in Asia & Oceana. 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 Asia & Oceana). This study gives, however, my estimates for the latent demand, or the P.I.E. for railroads in Asia & Oceana. It also shows how the P.I.E. is divided across the national markets of Asia & Oceana. 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 ASIA & OCEANA 15
2.1 Executive Summary 15
2.2 American Samoa 16
2.3 Australia 17
2.4 Bangladesh 17
2.5 Bhutan 19
2.6 Brunei 19
2.7 Burma 20
2.8 Cambodia 21
2.9 China 21
2.10 Christmas Island 22
2.11 Cook Islands 23
2.12 Fiji 23
2.13 French Polynesia 24
2.14 Guam 25
2.15 Hong Kong 25
2.16 India 26
2.17 Indonesia 27
2.18 Japan 28
2.19 Kiribati 29
2.20 Laos 29
2.21 Macau 30
2.22 Malaysia 31
2.23 Maldives 32
2.24 Marshall Islands 32
2.25 Micronesia Federation 33
2.26 Mongolia 33
2.27 Nauru 34
2.28 Nepal 35
2.29 New Caledonia 35
2.30 New Zealand 36
2.31 Niue 37
2.32 Norfolk Island 38
2.33 North Korea 38
2.34 Palau 39
2.35 Papua New Guinea 40
2.36 Philippines 40
2.37 Seychelles 41
2.38 Singapore 42
2.39 Solomon Islands 42
2.40 South Korea 43
2.41 Sri Lanka 44
2.42 Taiwan 44
2.43 Thailand 45
2.44 The Northern Mariana Island 46
2.45 Tokelau 47
2.46 Tonga 47
2.47 Tuvalu 48
2.48 Vanuatu 48
2.49 Vietnam 49
2.50 Wallis and Futuna 49
2.51 Western Samoa 50
2.52 Frequently Asked Questions (FAQ) 50
2.52.1 Category Definition 50
2.52.2 Units 51
2.52.3 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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