World Outlook for Wedding Dresses

This econometric study covers the world outlook for wedding dresses 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 wedding dresses. 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 13
1.3.3 Step 3. Filling in Missing Values 13
1.3.4 Step 4. Varying Parameter, Non-linear Estimation 13
1.3.5 Step 5. Fixed-Parameter Linear Estimation 14
1.3.6 Step 6. Aggregation and Benchmarking 14
1.3.7 Step 7. Latent Demand Density: Allocating Across Cities 14
2 SUMMARY OF FINDINGS 16
2.1 The Worldwide Market Potential 16
3 AFRICA 18
3.1 Executive Summary 18
3.2 Algeria 19
3.3 Angola 20
3.4 Benin 21
3.5 Botswana 21
3.6 Burkina Faso 22
3.7 Burundi 23
3.8 Cameroon 23
3.9 Cape Verde 24
3.10 Central African Republic 25
3.11 Chad 25
3.12 Comoros 26
3.13 Congo (formerly Zaire) 27
3.14 Cote d”Ivoire 28
3.15 Djibouti 28
3.16 Egypt 29
3.17 Equatorial Guinea 30
3.18 Ethiopia 30
3.19 Gabon 31
3.20 Ghana 32
3.21 Guinea 32
3.22 Guinea-Bissau 33
3.23 Kenya 34
3.24 Lesotho 35
3.25 Liberia 35
3.26 Libya 36
3.27 Madagascar 37
3.28 Malawi 37
3.29 Mali 38
3.30 Mauritania 39
3.31 Mauritius 39
3.32 Morocco 40
3.33 Mozambique 41
3.34 Namibia 41
3.35 Niger 42
3.36 Nigeria 43
3.37 Republic of Congo 44
3.38 Reunion 44
3.39 Rwanda 45
3.40 Sao Tome E Principe 46
3.41 Senegal 46
3.42 Sierra Leone 47
3.43 Somalia 48
3.44 South Africa 48
3.45 Sudan 49
3.46 Swaziland 50
3.47 Tanzania 50
3.48 The Gambia 51
3.49 Togo 52
3.50 Tunisia 52
3.51 Uganda 53
3.52 Western Sahara 54
3.53 Zambia 54
3.54 Zimbabwe 55
4 ASIA 57
4.1 Executive Summary 57
4.2 Bangladesh 58
4.3 Bhutan 59
4.4 Brunei 60
4.5 Burma 60
4.6 Cambodia 61
4.7 China 62
4.8 Hong Kong 63
4.9 India 63
4.10 Indonesia 64
4.11 Japan 65
4.12 Laos 66
4.13 Macau 67
4.14 Malaysia 68
4.15 Maldives 69
4.16 Mongolia 69
4.17 Nepal 70
4.18 North Korea 71
4.19 Papua New Guinea 72
4.20 Philippines 72
4.21 Seychelles 73
4.22 Singapore 74
4.23 South Korea 74
4.24 Sri Lanka 75
4.25 Taiwan 76
4.26 Thailand 77
4.27 Vietnam 77
5 EUROPE 79
5.1 Executive Summary 79
5.2 Albania 80
5.3 Andorra 81
5.4 Austria 81
5.5 Belarus 82
5.6 Belgium 83
5.7 Bosnia and Herzegovina 84
5.8 Bulgaria 85
5.9 Croatia 86
5.10 Cyprus 86
5.11 Czech Republic 87
5.12 Denmark 88
5.13 Estonia 89
5.14 Finland 89
5.15 France 90
5.16 Georgia 91
5.17 Germany 92
5.18 Greece 93
5.19 Hungary 93
5.20 Iceland 94
5.21 Ireland 95
5.22 Italy 95
5.23 Kazakhstan 96
5.24 Latvia 97
5.25 Liechtenstein 98
5.26 Lithuania 99
5.27 Luxembourg 99
5.28 Malta 100
5.29 Moldova 101
5.30 Monaco 101
5.31 Norway 102
5.32 Poland 103
5.33 Portugal 104
5.34 Romania 104
5.35 Russia 105
5.36 San Marino 106
5.37 Slovakia 107
5.38 Slovenia 107
5.39 Spain 108
5.40 Sweden 109
5.41 Switzerland 110
5.42 The Netherlands 111
5.43 The United Kingdom 112
5.44 Ukraine 113
6 OCEANA 115
6.1 Executive Summary 115
6.2 American Samoa 116
6.3 Australia 117
6.4 Christmas Island 118
6.5 Cook Islands 118
6.6 Fiji 119
6.7 French Polynesia 119
6.8 Guam 120
6.9 Kiribati 121
6.10 Marshall Islands 121
6.11 Micronesia Federation 122
6.12 Nauru 122
6.13 New Caledonia 123
6.14 New Zealand 123
6.15 Niue 124
6.16 Norfolk Island 125
6.17 Palau 125
6.18 Solomon Islands 126
6.19 The Northern Mariana Island 126
6.20 Tokelau 127
6.21 Tonga 127
6.22 Tuvalu 128
6.23 Vanuatu 128
6.24 Wallis and Futuna 129
6.25 Western Samoa 129
7 THE AMERICAS 130
7.1 Executive Summary 130
7.2 Antigua and Barbuda 131
7.3 Argentina 132
7.4 Aruba 133
7.5 Barbados 133
7.6 Belize 134
7.7 Bermuda 135
7.8 Bolivia 135
7.9 Brazil 136
7.10 Canada 137
7.11 Chile 138
7.12 Colombia 139
7.13 Costa Rica 140
7.14 Cuba 141
7.15 Dominica 142
7.16 Dominican Republic 142
7.17 Ecuador 143
7.18 El Salvador 144
7.19 French Guiana 144
7.20 Greenland 145
7.21 Grenada 146
7.22 Guadeloupe 146
7.23 Guatemala 147
7.24 Guyana 148
7.25 Haiti 148
7.26 Honduras 149
7.27 Jamaica 150
7.28 Martinique 150
7.29 Mexico 151
7.30 Nicaragua 152
7.31 Panama 153
7.32 Paraguay 154
7.33 Peru 155
7.34 Puerto Rico 156
7.35 St. Kitts and Nevis 157
7.36 St. Lucia 157
7.37 St. Vincent and the Grenadines 158
7.38 Suriname 159
7.39 The Bahamas 159
7.40 The British Virgin Islands 160
7.41 The Cayman Islands 161
7.42 The Falkland Islands 161
7.43 The Netherlands Antilles 162
7.44 The U.S. Virgin Islands 163
7.45 The United States 163
7.46 Trinidad and Tobago 164
7.47 Uruguay 165
7.48 Venezuela 165
8 THE MIDDLE EAST 167
8.1 Executive Summary 167
8.2 Afghanistan 168
8.3 Armenia 169
8.4 Azerbaijan 170
8.5 Bahrain 170
8.6 Iran 171
8.7 Iraq 172
8.8 Israel 173
8.9 Jordan 173
8.10 Kuwait 174
8.11 Kyrgyzstan 175
8.12 Lebanon 175
8.13 Oman 176
8.14 Pakistan 177
8.15 Palestine 178
8.16 Qatar 178
8.17 Saudi Arabia 179
8.18 Syrian Arab Republic 180
8.19 Tajikistan 181
8.20 The United Arab Emirates 181
8.21 Turkey 182
8.22 Turkmenistan 183
8.23 Uzbekistan 183
8.24 Yemen 184
9 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 186
9.1 Disclaimers & Safe Harbor 186
9.2 ICON Group International, Inc. User Agreement Provisions 187

To read report in detail : The 2011-2016 World Outlook for Wedding Dresses

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Wedding and Social Announcements, Paper, Cards, and Envelopes

This econometric study covers the world outlook for wedding and social announcements, paper, cards, and envelopes 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 wedding and social announcements, paper, cards, and envelopes. 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 13
1.3.3 Step 3. Filling in Missing Values 13
1.3.4 Step 4. Varying Parameter, Non-linear Estimation 14
1.3.5 Step 5. Fixed-Parameter Linear Estimation 14
1.3.6 Step 6. Aggregation and Benchmarking 15
1.3.7 Step 7. Latent Demand Density: Allocating Across Cities 15
2 SUMMARY OF FINDINGS 16
2.1 The Worldwide Market Potential 16
3 AFRICA 18
3.1 Executive Summary 18
3.2 Algeria 19
3.3 Angola 20
3.4 Benin 21
3.5 Botswana 21
3.6 Burkina Faso 22
3.7 Burundi 23
3.8 Cameroon 23
3.9 Cape Verde 24
3.10 Central African Republic 25
3.11 Chad 25
3.12 Comoros 26
3.13 Congo (formerly Zaire) 27
3.14 Cote d”Ivoire 28
3.15 Djibouti 28
3.16 Egypt 29
3.17 Equatorial Guinea 30
3.18 Ethiopia 30
3.19 Gabon 31
3.20 Ghana 32
3.21 Guinea 32
3.22 Guinea-Bissau 33
3.23 Kenya 34
3.24 Lesotho 35
3.25 Liberia 35
3.26 Libya 36
3.27 Madagascar 37
3.28 Malawi 37
3.29 Mali 38
3.30 Mauritania 39
3.31 Mauritius 39
3.32 Morocco 40
3.33 Mozambique 41
3.34 Namibia 41
3.35 Niger 42
3.36 Nigeria 43
3.37 Republic of Congo 44
3.38 Reunion 44
3.39 Rwanda 45
3.40 Sao Tome E Principe 46
3.41 Senegal 46
3.42 Sierra Leone 47
3.43 Somalia 48
3.44 South Africa 48
3.45 Sudan 49
3.46 Swaziland 50
3.47 Tanzania 50
3.48 The Gambia 51
3.49 Togo 52
3.50 Tunisia 52
3.51 Uganda 53
3.52 Western Sahara 54
3.53 Zambia 54
3.54 Zimbabwe 55
4 ASIA & THE MIDDLE EAST 57
4.1 Executive Summary 57
4.2 Afghanistan 58
4.3 Armenia 59
4.4 Azerbaijan 60
4.5 Bahrain 61
4.6 Bangladesh 62
4.7 Bhutan 63
4.8 Brunei 63
4.9 Burma 64
4.10 Cambodia 65
4.11 China 65
4.12 Hong Kong 66
4.13 India 67
4.14 Indonesia 68
4.15 Iran 69
4.16 Iraq 70
4.17 Israel 71
4.18 Japan 71
4.19 Jordan 72
4.20 Kuwait 73
4.21 Kyrgyzstan 74
4.22 Laos 74
4.23 Lebanon 75
4.24 Macau 76
4.25 Malaysia 76
4.26 Maldives 77
4.27 Mongolia 78
4.28 Nepal 78
4.29 North Korea 79
4.30 Oman 80
4.31 Pakistan 80
4.32 Palestine 81
4.33 Papua New Guinea 82
4.34 Philippines 82
4.35 Qatar 83
4.36 Saudi Arabia 84
4.37 Seychelles 85
4.38 Singapore 85
4.39 South Korea 86
4.40 Sri Lanka 87
4.41 Syrian Arab Republic 87
4.42 Taiwan 88
4.43 Tajikistan 89
4.44 Thailand 90
4.45 The United Arab Emirates 91
4.46 Turkey 91
4.47 Turkmenistan 92
4.48 Uzbekistan 93
4.49 Vietnam 94
4.50 Yemen 94
5 EUROPE 96
5.1 Executive Summary 96
5.2 Albania 97
5.3 Andorra 98
5.4 Austria 99
5.5 Belarus 100
5.6 Belgium 101
5.7 Bosnia and Herzegovina 102
5.8 Bulgaria 102
5.9 Croatia 103
5.10 Cyprus 104
5.11 Czech Republic 104
5.12 Denmark 105
5.13 Estonia 106
5.14 Finland 107
5.15 France 108
5.16 Georgia 109
5.17 Germany 109
5.18 Greece 110
5.19 Hungary 111
5.20 Iceland 112
5.21 Ireland 112
5.22 Italy 113
5.23 Kazakhstan 114
5.24 Latvia 115
5.25 Liechtenstein 115
5.26 Lithuania 116
5.27 Luxembourg 117
5.28 Malta 117
5.29 Moldova 118
5.30 Monaco 119
5.31 Norway 119
5.32 Poland 120
5.33 Portugal 121
5.34 Romania 121
5.35 Russia 122
5.36 San Marino 123
5.37 Slovakia 124
5.38 Slovenia 124
5.39 Spain 125
5.40 Sweden 126
5.41 Switzerland 127
5.42 The Netherlands 128
5.43 The United Kingdom 129
5.44 Ukraine 130
6 LATIN AMERICA 132
6.1 Executive Summary 132
6.2 Argentina 133
6.3 Belize 134
6.4 Bolivia 135
6.5 Brazil 135
6.6 Chile 136
6.7 Colombia 137
6.8 Costa Rica 138
6.9 Ecuador 139
6.10 El Salvador 140
6.11 French Guiana 140
6.12 Guatemala 141
6.13 Guyana 142
6.14 Honduras 142
6.15 Mexico 143
6.16 Nicaragua 144
6.17 Panama 145
6.18 Paraguay 146
6.19 Peru 147
6.20 Suriname 148
6.21 The Falkland Islands 148
6.22 Uruguay 149
6.23 Venezuela 150
7 NORTH AMERICA & THE CARIBBEAN 151
7.1 Executive Summary 151
7.2 Antigua and Barbuda 152
7.3 Aruba 153
7.4 Barbados 154
7.5 Bermuda 154
7.6 Canada 155
7.7 Cuba 156
7.8 Dominica 157
7.9 Dominican Republic 157
7.10 Greenland 158
7.11 Grenada 159
7.12 Guadeloupe 160
7.13 Haiti 160
7.14 Jamaica 161
7.15 Martinique 162
7.16 Puerto Rico 162
7.17 St. Kitts and Nevis 163
7.18 St. Lucia 164
7.19 St. Vincent and the Grenadines 164
7.20 The Bahamas 165
7.21 The British Virgin Islands 166
7.22 The Cayman Islands 166
7.23 The Netherlands Antilles 167
7.24 The U.S. Virgin Islands 168
7.25 The United States 168
7.26 Trinidad and Tobago 169
8 OCEANA 170
8.1 Executive Summary 170
8.2 American Samoa 171
8.3 Australia 172
8.4 Christmas Island 173
8.5 Cook Islands 173
8.6 Fiji 174
8.7 French Polynesia 174
8.8 Guam 175
8.9 Kiribati 176
8.10 Marshall Islands 176
8.11 Micronesia Federation 177
8.12 Nauru 177
8.13 New Caledonia 178
8.14 New Zealand 179
8.15 Niue 180
8.16 Norfolk Island 180
8.17 Palau 181
8.18 Solomon Islands 181
8.19 The Northern Mariana Island 182
8.20 Tokelau 182
8.21 Tonga 183
8.22 Tuvalu 183
8.23 Vanuatu 184
8.24 Wallis and Futuna 185
8.25 Western Samoa 185
9 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 187
9.1 Disclaimers & Safe Harbor 187
9.2 ICON Group International, Inc. User Agreement Provisions 188

For further information, please visit : The 2011-2016 World Outlook for Wedding and Social Announcements, Paper, Cards, and Envelopes

The 2011-2016 Outlook for Gold and Platinum Complete Wedding Rings

This econometric study covers the latent demand outlook for gold and platinum complete wedding rings excluding gold- and platinum-clad, silver-plated, and non-precious metal-plated rings across the regions of Greater China, including provinces, autonomous regions (Guangxi, Nei Mongol, Ningxia, Xinjiang, Xizang – Tibet), municipalities (Beijing, Chongqing, Shanghai, and Tianjin), special administrative regions (Hong Kong and Macau), and Taiwan (all hereafter referred to as “regions”). Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 1,100 cities in Greater China. For each major city in question, the percent share the city is of the region and of Greater China is reported. Each major city is defined as an area of “economic population”, as opposed to the demographic population within a legal geographic boundary. For many cities, the economic population is much larger that the population within the city limits; this is especially true for the cities of the Western regions. For the coastal regions, cities which are close to other major cities or which represent, by themselves, a high percent of the regional population, actual city-level population is closer to the economic population (e.g. in Beijing). Based on this “economic” definition of population, comparative benchmarks allow the reader to quickly gauge a city’s marketing and distribution value vis-à-vis others. 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.

Table Of Contents:

1 INTRODUCTION 9
1.1 Overview 9
1.2 What is Latent Demand and the P.I.E.? 9
1.3 The Methodology 10
1.3.1 Step 1. Product Definition and Data Collection 11
1.3.2 Step 2. Filtering and Smoothing 12
1.3.3 Step 3. Filling in Missing Values 13
1.3.4 Step 4. Varying Parameter, Non-linear Estimation 13
1.3.5 Step 5. Fixed-Parameter Linear Estimation 13
1.3.6 Step 6. Aggregation and Benchmarking 14
2 SUMMARY OF FINDINGS 15
2.1 The Latent Demand in Greater China 15
2.2 Top 100 Cities Sorted By Rank 17
3 ANHUI 20
3.1 Latent Demand by Year – Anhui 20
3.2 Cities Sorted by Rank – Anhui 21
3.3 Cities Sorted Alphabetically – Anhui 22
4 BEIJING 24
4.1 Latent Demand by Year – Beijing 24
4.2 Cities Sorted by Rank – Beijing 25
4.3 Cities Sorted Alphabetically – Beijing 25
5 CHONGQING 26
5.1 Latent Demand by Year – Chongqing 26
5.2 Cities Sorted by Rank – Chongqing 27
5.3 Cities Sorted Alphabetically – Chongqing 28
6 FUJIAN 29
6.1 Latent Demand by Year – Fujian 29
6.2 Cities Sorted by Rank – Fujian 30
6.3 Cities Sorted Alphabetically – Fujian 31
7 GANSU 33
7.1 Latent Demand by Year – Gansu 33
7.2 Cities Sorted by Rank – Gansu 34
7.3 Cities Sorted Alphabetically – Gansu 35
8 GUANGDONG 36
8.1 Latent Demand by Year – Guangdong 36
8.2 Cities Sorted by Rank – Guangdong 37
8.3 Cities Sorted Alphabetically – Guangdong 39
9 GUANGXI 42
9.1 Latent Demand by Year – Guangxi 42
9.2 Cities Sorted by Rank – Guangxi 43
9.3 Cities Sorted Alphabetically – Guangxi 44
10 GUIZHOU 45
10.1 Latent Demand by Year – Guizhou 45
10.2 Cities Sorted by Rank – Guizhou 46
10.3 Cities Sorted Alphabetically – Guizhou 47
11 HAINAN 48
11.1 Latent Demand by Year – Hainan 48
11.2 Cities Sorted by Rank – Hainan 49
11.3 Cities Sorted Alphabetically – Hainan 50
12 HEBEI 51
12.1 Latent Demand by Year – Hebei 51
12.2 Cities Sorted by Rank – Hebei 52
12.3 Cities Sorted Alphabetically – Hebei 53
13 HEILONGJIANG 55
13.1 Latent Demand by Year – Heilongjiang 55
13.2 Cities Sorted by Rank – Heilongjiang 56
13.3 Cities Sorted Alphabetically – Heilongjiang 58
14 HENAN 60
14.1 Latent Demand by Year – Henan 60
14.2 Cities Sorted by Rank – Henan 61
14.3 Cities Sorted Alphabetically – Henan 63
15 HONG KONG 65
15.1 Latent Demand by Year – Hong Kong 65
15.2 Cities Sorted by Rank – Hong Kong 66
15.3 Cities Sorted Alphabetically – Hong Kong 67
16 HUBEI 68
16.1 Latent Demand by Year – Hubei 68
16.2 Cities Sorted by Rank – Hubei 69
16.3 Cities Sorted Alphabetically – Hubei 71
17 HUNAN 73
17.1 Latent Demand by Year – Hunan 73
17.2 Cities Sorted by Rank – Hunan 74
17.3 Cities Sorted Alphabetically – Hunan 76
18 JIANGSU 78
18.1 Latent Demand by Year – Jiangsu 78
18.2 Cities Sorted by Rank – Jiangsu 79
18.3 Cities Sorted Alphabetically – Jiangsu 81
19 JIANGXI 83
19.1 Latent Demand by Year – Jiangxi 83
19.2 Cities Sorted by Rank – Jiangxi 84
19.3 Cities Sorted Alphabetically – Jiangxi 85
20 JILIN 87
20.1 Latent Demand by Year – Jilin 87
20.2 Cities Sorted by Rank – Jilin 88
20.3 Cities Sorted Alphabetically – Jilin 89
21 LIAONING 91
21.1 Latent Demand by Year – Liaoning 91
21.2 Cities Sorted by Rank – Liaoning 92
21.3 Cities Sorted Alphabetically – Liaoning 93
22 MACAU 95
22.1 Latent Demand by Year – Macau 95
22.2 Cities Sorted by Rank – Macau 96
22.3 Cities Sorted Alphabetically – Macau 96
23 NEI MONGGOL 97
23.1 Latent Demand by Year – Nei Monggol 97
23.2 Cities Sorted by Rank – Nei Monggol 98
23.3 Cities Sorted Alphabetically – Nei Monggol 99
24 NINGXIA 100
24.1 Latent Demand by Year – Ningxia 100
24.2 Cities Sorted by Rank – Ningxia 101
24.3 Cities Sorted Alphabetically – Ningxia 101
25 QINGHAI 102
25.1 Latent Demand by Year – Qinghai 102
25.2 Cities Sorted by Rank – Qinghai 103
25.3 Cities Sorted Alphabetically – Qinghai 103
26 SHAANXI 105
26.1 Latent Demand by Year – Shaanxi 105
26.2 Cities Sorted by Rank – Shaanxi 106
26.3 Cities Sorted Alphabetically – Shaanxi 107
27 SHANDONG 108
27.1 Latent Demand by Year – Shandong 108
27.2 Cities Sorted by Rank – Shandong 109
27.3 Cities Sorted Alphabetically – Shandong 110
28 SHANGHAI 112
28.1 Latent Demand by Year – Shanghai 112
28.2 Cities Sorted by Rank – Shanghai 113
28.3 Cities Sorted Alphabetically – Shanghai 113
29 SHANXI 115
29.1 Latent Demand by Year – Shanxi 115
29.2 Cities Sorted by Rank – Shanxi 116
29.3 Cities Sorted Alphabetically – Shanxi 117
30 SICHUAN 118
30.1 Latent Demand by Year – Sichuan 118
30.2 Cities Sorted by Rank – Sichuan 119
30.3 Cities Sorted Alphabetically – Sichuan 120
31 TAIWAN 122
31.1 Latent Demand by Year – Taiwan 122
31.2 Cities Sorted by Rank – Taiwan 123
31.3 Cities Sorted Alphabetically – Taiwan 125
32 TIANJIN 128
32.1 Latent Demand by Year – Tianjin 128
32.2 Cities Sorted by Rank – Tianjin 129
32.3 Cities Sorted Alphabetically – Tianjin 129
33 XINJIANG UYGUR 130
33.1 Latent Demand by Year – Xinjiang Uygur 130
33.2 Cities Sorted by Rank – Xinjiang Uygur 131
33.3 Cities Sorted Alphabetically – Xinjiang Uygur 132
34 XIZANG [THIBET] 133
34.1 Latent Demand by Year – Xizang [Thibet] 133
34.2 Cities Sorted by Rank – Xizang [Thibet] 134
34.3 Cities Sorted Alphabetically – Xizang [Thibet] 134
35 YUNNAN 135
35.1 Latent Demand by Year – Yunnan 135
35.2 Cities Sorted by Rank – Yunnan 136
35.3 Cities Sorted Alphabetically – Yunnan 137
36 ZHEJIANG 138
36.1 Latent Demand by Year – Zhejiang 138
36.2 Cities Sorted by Rank – Zhejiang 139
36.3 Cities Sorted Alphabetically – Zhejiang 140
37 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 142
37.1 Disclaimers & Safe Harbor 142
37.2 ICON Group International, Inc. User Agreement Provisions 143

To read report in detail : The 2011-2016 Outlook for Gold and Platinum Complete Wedding Rings Excluding Gold-And Platinum-Clad, Silver-Plated, and Non-Precious Metal-Plated Rings in Greater China

Ukraine Country Analysis

The Ukrainian economy is considered to be a lower middle income economy. The economy has witnessed considerable growth rate and is expected to grow with a CAGR of 3.9% to reach $269 billion by 2017. The country is the 26th most populous economy and 44th largest economy in the world. Ukraine’s importance as an investment destination is based on the geostrategic importance as it shares borders with Europe.

Lucintel, a leading global management consulting and market research firm, has conducted a competitive analysis on this country and presents its findings in “Ukraine Country Analysis 2012-2017 An Evaluation of Political, Social, Economic, and Business Risk.”

The study of Ukraine from the risk perspective is the major focus of the report. This study provides a concise overview of the political, economic, social, technology, and business risk analysis of the country.

According to Lucintel’s study, the economic crisis hit the global economy badly and most of the economies witnessed negative trend. Although the Ukrainian economy maintained a strong growth rate unlike other European countries, the crisis disrupted the macroeconomic and financial stability of the country. The Ukrainian emission money scandal and Euro corruption scandal have increased the ranking of Ukraine in world corruption ranking. The main causes of corruption in Ukraine are a weak justice system and an over-controlling and non-transparent government combined with business-political ties and a weak civil society.

Despite the challenges, the government of the country has maintained a stability that has supported the industrial and other government policies to sustain for longer period and has also accelerated the country’s GDP growth. The population of the country is expected to increase during the forecast period as there is a decrease in the death rate.

This report highlights different aspects of the country including geographical location, economic performance, quarterly trend, sectoral contribution, FDI by industry, trend of population, per capita income, trend of inflation, balance of payment, budget deficit, trade structure, foreign exchange reserve and exchange rates, R&D expenditure, etc.

This unique report from Lucintel will provide you with valuable information, insights, and tools needed to identify new growth opportunities and operate your business successfully in this market. This report will save hundreds of hours of your own personal research time and will significantly benefit you in expanding your business in this market. In today’s stringent economy, you need every advantage that you can find.

To make business, investment, and strategic decisions, you need timely, useful information. This market report fulfills this core need and is an indispensable reference guide for multinational materials suppliers, product manufacturers, investors, executives, distributors, and many more that operate in this market.

Some of the features of “Ukraine Country Analysis: 2012-2017: An Evaluation of Political, Social, Economic, and Business Risk” include:
• Trend and forecast of real GDP growth rate of Ukraine
• Trend of savings and investments as well as consumption expenditure in percentage of GDP of Ukraine
• Trend of consumption expenditure as percentage of GDP in Ukraine
• Trend of growth of population and unemployment rate in Ukraine
• R&D and technological factor of Ukraine 2012
• Business risk of Ukraine
• More than 28 figures/charts and 10 tables are provided in this roughly 65-page report

To read report in detail : Ukraine Country Analysis: 2012-2017 An Evaluation of Political, Social, Economic, and Business Risk

Professional Indemnity Insurance in South Africa

Professional Indemnity Insurance in South Africa is a report about the South African market for and distribution of policies covering professional liability. For 2007, 2011 and with a forecast for 2015, the study breaks down the market for professional indemnity insurance on a standardised basis by professional group with 12 categories considered as follows:

-accountancy and finance
-alternative medicine
-architecture and engineering
-broadcasting and publishing
-estate agency and property
-financial and insurance intermediation
-healthcare-related services
-IT and business consulting
-legal services
-marketing
-medicine and dentistry
-other professional sectors

Furthermore, on the basis of a survey of 110 professional associations, it identifies affinity schemes for professional indemnity insurance in South Africa set up between professional bodies and brokers or underwriters of this type of cover, highlights other key underwriters and brokers of professional indemnity insurance and other distribution channels used to sell this form of insurance, and discusses key issues associated with the market. As such, the report is the most comprehensive analysis of professional indemnity insurance in South Africa ever produced.

You may be able to use these reports plus the accompanying PartnerBASE™ datasets and market data annexes in one or more of the following ways:

– to compare the size, growth rates and future prospects of professional liability insurance markets in South Africa across 12 distinct categories, utilising the market data annexe as a convenient source of data already in Excel format;

– to evaluate the potential for your organisation to target professional indemnity propositions at specific professions;

– to understand the competitive environment for broking and underwriting in South Africa by professional category;

– to gain access to a single comprehensive source of information providing broker and / or underwriter details for affinity schemes set up by professional associations for this form of insurance;

– to appreciate which professional categories in South Africa offer the best long-term potential, which are already saturated with competitors, and what product or distribution innovations are occurring.

To read report in detail : Professional Indemnity Insurance in South Africa

Wedding Planning Industry in India

The wedding industry in India thrives largely on the Indian notion of characterizing marriage as a singular high-point in one’s life. In a bid to make one’s wedding unique wedding planning industry derives a reasonable demand owing to their professionalism and touch of precision to make the entire process smooth. Rise in disposable income coupled with time constraints that people face has led to the development of the wedding planning sector in India.

The report begins with an overview of the wedding industry in India giving its market size and growth as well as a clear segmentation on the different costs that constitute the total costs incurred in a wedding. This is followed by an overview of wedding planning industry describing the market and includes information regarding market size and growth. This is followed by a section wherein primary expenses in a wedding by any planner are provided. Additionally, the various stages involved in the management of such an event have also been highlighted.

An analysis of the drivers explains the factors for growth of the market including increase in disposable income, destination wedding, time constraint and convenience, and practice of re-marriage. India is an emerging country with people witnessing rise in disposable income. Primary notion of associating marriage as one of the most important event in one’s life drives people to spend extravagantly on arrangements for the celebration. Such an occasion, for the elite, becomes an opportunity to showcase their wealth and prosperity while for the middle class it remains an event that at times compels them to go beyond their means. Increasing disposable income renders people to mark this grand event with luxurious celebrations. Wedding at exotic locations, far from the maddening crowd of the city has become a rage and is considered to be a significant driver. Destination weddings continue to increase as it allows the wedding to be unique. In this format of the event, a planner becomes imperative due to the lack of knowledge of the place at which the wedding will take place as well as towards streamlining the entire process. An Indian wedding needs a lot of time and effort towards planning and implementation. However, people in this day and age do not have the luxury to spend long stretches of time on organizing an event. Time constraint in people’s lives becomes a chief driver for the wedding planning sector. Further, increase in the rate of divorces also leads to increase in business for wedding planning concerns since their business is dependent on the numbers of marriages organized. The sector is also facing certain challenges. Factors such as stringent Government regulations and unavailability of wedding seasons and dates pose as barriers for growth.

The major trends identified in the market include theme wedding, online classified players diversifying into wedding planning, wedding planning online software and 3D presentation.

The competition section constitutes a competitive landscape of the players in the market which contains a snapshot of their corporate information and business highlights. Strategic recommendations for this market have also been provided.

To read report in detail : Wedding Planning Industry in India 2011