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Bharatbook.com has this special report, which sources information of This econometric study covers the world outlook for fire tube steam and vertical water tube steel power boilers and other stationary and marine power boilers excluding for nuclear applications across more than 200 countries. 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 230 countries of the world). This study gives, however, my estimates for the worldwide latent demand, or the P.I.E., for fire tube steam and vertical water tube steel power boilers and other stationary and marine power boilers excluding for nuclear applications. It also shows how the P.I.E. is divided across the world’s regional and national markets. 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 10 1.1 Overview 10 1.2 What is Latent Demand and the P.I.E.? 10 1.3 The Methodology 11 1.3.1 Step 1. Product Definition and Data Collection 12 1.3.2 Step 2. Filtering and Smoothing 14 1.3.3 Step 3. Filling in Missing Values 15 1.3.4 Step 4. Varying Parameter, Non-linear Estimation 15 1.3.5 Step 5. Fixed-Parameter Linear Estimation 15 1.3.6 Step 6. Aggregation and Benchmarking 16 1.3.7 Step 7. Latent Demand Density: Allocating Across Cities 16 2 SUMMARY OF FINDINGS 17 2.1 The Worldwide Market Potential 17 3 AFRICA 19 3.1 Executive Summary 19 3.2 Algeria 20 3.3 Angola 21 3.4 Benin 22 3.5 Botswana 23 3.6 Burkina Faso 24 3.7 Burundi 24 3.8 Cameroon 25 3.9 Cape Verde 26 3.10 Central African Republic 26 3.11 Chad 27 3.12 Comoros 28 3.13 Congo (formerly Zaire) 28 3.14 Cote d'Ivoire 29 3.15 Djibouti 30 3.16 Egypt 31 3.17 Equatorial Guinea 32 3.18 Ethiopia 32 3.19 Gabon 33 3.20 Ghana 34 3.21 Guinea 35 3.22 Guinea-Bissau 35 3.23 Kenya 36 3.24 Lesotho 37 3.25 Liberia 37 3.26 Libya 38 3.27 Madagascar 39 3.28 Malawi 39 3.29 Mali 40 3.30 Mauritania 41 3.31 Mauritius 41 3.32 Morocco 42 3.33 Mozambique 43 3.34 Namibia 43 3.35 Niger 44 3.36 Nigeria 45 3.37 Republic of Congo 46 3.38 Reunion 46 3.39 Rwanda 47 3.40 Sao Tome E Principe 48 3.41 Senegal 48 3.42 Sierra Leone 49 3.43 Somalia 50 3.44 South Africa 51 3.45 Sudan 52 3.46 Swaziland 53 3.47 Tanzania 53 3.48 The Gambia 54 3.49 Togo 55 3.50 Tunisia 56 3.51 Uganda 57 3.52 Western Sahara 58 3.53 Zambia 58 3.54 Zimbabwe 59 4 ASIA 61 4.1 Executive Summary 61 4.2 Bangladesh 62 4.3 Bhutan 63 4.4 Brunei 64 4.5 Burma 65 4.6 Cambodia 66 4.7 China 66 4.8 Hong Kong 67 4.9 India 68 4.10 Indonesia 69 4.11 Japan 70 4.12 Laos 71 4.13 Macau 71 4.14 Malaysia 72 4.15 Maldives 73 4.16 Mongolia 74 4.17 Nepal 74 4.18 North Korea 75 4.19 Papua New Guinea 76 4.20 Philippines 76 4.21 Seychelles 77 4.22 Singapore 78 4.23 South Korea 79 4.24 Sri Lanka 80 4.25 Taiwan 81 4.26 Thailand 82 4.27 Vietnam 83 5 EUROPE 84 5.1 Executive Summary 84 5.2 Albania 85 5.3 Andorra 86 5.4 Austria 87 5.5 Belarus 88 5.6 Belgium 89 5.7 Bosnia and Herzegovina 90 5.8 Bulgaria 90 5.9 Croatia 91 5.10 Cyprus 92 5.11 Czech Republic 93 5.12 Denmark 94 5.13 Estonia 95 5.14 Finland 95 5.15 France 96 5.16 Georgia 97 5.17 Germany 98 5.18 Greece 99 5.19 Hungary 100 5.20 Iceland 101 5.21 Ireland 102 5.22 Italy 102 5.23 Kazakhstan 103 5.24 Latvia 104 5.25 Liechtenstein 105 5.26 Lithuania 106 5.27 Luxembourg 106 5.28 Malta 107 5.29 Moldova 108 5.30 Monaco 108 5.31 Norway 109 5.32 Poland 110 5.33 Portugal 111 5.34 Romania 112 5.35 Russia 113 5.36 San Marino 114 5.37 Slovakia 114 5.38 Slovenia 115 5.39 Spain 116 5.40 Sweden 117 5.41 Switzerland 118 5.42 The Netherlands 119 5.43 The United Kingdom 120 5.44 Ukraine 121 6 LATIN AMERICA 122 6.1 Executive Summary 122 6.2 Argentina 123 6.3 Belize 124 6.4 Bolivia 125 6.5 Brazil 126 6.6 Chile 127 6.7 Colombia 128 6.8 Costa Rica 129 6.9 Ecuador 129 6.10 El Salvador 130 6.11 French Guiana 131 6.12 Guatemala 131 6.13 Guyana 132 6.14 Honduras 133 6.15 Mexico 134 6.16 Nicaragua 135 6.17 Panama 136 6.18 Paraguay 137 6.19 Peru 138 6.20 Suriname 139 6.21 The Falkland Islands 139 6.22 Uruguay 140 6.23 Venezuela 141 7 NORTH AMERICA & THE CARIBBEAN 142 7.1 Executive Summary 142 7.2 Antigua and Barbuda 144 7.3 Aruba 144 7.4 Barbados 145 7.5 Bermuda 146 7.6 Canada 146 7.7 Cuba 147 7.8 Dominica 148 7.9 Dominican Republic 149 7.10 Greenland 150 7.11 Grenada 151 7.12 Guadeloupe 151 7.13 Haiti 152 7.14 Jamaica 153 7.15 Martinique 153 7.16 Puerto Rico 154 7.17 St. Kitts and Nevis 155 7.18 St. Lucia 156 7.19 St. Vincent and the Grenadines 156 7.20 The Bahamas 157 7.21 The British Virgin Islands 158 7.22 The Cayman Islands 158 7.23 The Netherlands Antilles 159 7.24 The U.S. Virgin Islands 160 7.25 The United States 160 7.26 Trinidad and Tobago 161 8 OCEANA 163 8.1 Executive Summary 163 8.2 American Samoa 164 8.3 Australia 165 8.4 Christmas Island 166 8.5 Cook Islands 166 8.6 Fiji 167 8.7 French Polynesia 168 8.8 Guam 168 8.9 Kiribati 169 8.10 Marshall Islands 170 8.11 Micronesia Federation 170 8.12 Nauru 171 8.13 New Caledonia 172 8.14 New Zealand 172 8.15 Niue 173 8.16 Norfolk Island 174 8.17 Palau 174 8.18 Solomon Islands 175 8.19 The Northern Mariana Island 176 8.20 Tokelau 176 8.21 Tonga 177 8.22 Tuvalu 178 8.23 Vanuatu 178 8.24 Wallis and Futuna 179 8.25 Western Samoa 180 9 THE MIDDLE EAST 181 9.1 Executive Summary 181 9.2 Afghanistan 182 9.3 Armenia 183 9.4 Azerbaijan 184 9.5 Bahrain 185 9.6 Iran 186 9.7 Iraq 187 9.8 Israel 188 9.9 Jordan 189 9.10 Kuwait 189 9.11 Kyrgyzstan 190 9.12 Lebanon 191 9.13 Oman 191 9.14 Pakistan 192 9.15 Palestine 193 9.16 Qatar 193 9.17 Saudi Arabia 194 9.18 Syrian Arab Republic 195 9.19 Tajikistan 196 9.20 The United Arab Emirates 196 9.21 Turkey 197 9.22 Turkmenistan 198 9.23 Uzbekistan 199 9.24 Yemen 200 10 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 202 10.1 Disclaimers & Safe Harbor 202 10.2 ICON Group International, Inc. User Agreement Provisions 203 For more information kindly visit : http://www.bharatbook.com/detail.asp?id=174781&rt=The-2011-2016-World-Outlook-for-Fire-Tube-Steam-and-Vertical-Water-Tube-Steel-Power-Boilers-and-Other-Stationary-and-Marine-Power-Boilers-Excluding-for-Nuclear-Applications.html Related Reports The 2011-2016 World Outlook for Components Not Sold As Complete Units for Prefabricated Stationary Wood Buildings Not Sold As Complete Units http://www.bharatbook.com/detail.asp?id=173192&rt=The-2011-2016-World-Outlook-for-Components-Not-Sold-As-Complete-Units-for-Prefabricated-Stationary-Wood-Buildings-Not-Sold-As-Complete-Units.html The 2011-2016 World Outlook for Precut Packages for Prefabricated Stationary Residential Log Homes http://www.bharatbook.com/detail.asp?id=182198&rt=The-2011-2016-World-Outlook-for-Precut-Packages-for-Prefabricated-Stationary-Residential-Log-Homes.html -30- Or, Contact us at : Bharat Book Bureau Tel: +91 22 27578668 Fax: +91 22 27579131 Email: info@bharatbook.com Website: www.bharatbook.com Follow us on twitter: http://twitter.com/#!/BharatBook Please visit our blog at http://bharatresearch.wordpress.com
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