The 2016-2021 Outlook for Broadwoven Fabrics Made from Manmade Combinations of Spun and Filament Yarns Each Less Than 85-Percent of Total Fiber Content Excluding Wool Blends in Greater China

 Published On: Sep, 2015 |    No of Pages: 174 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the latent demand outlook for broadwoven fabrics made from manmade combinations of spun and filament yarns each less than 85-percent of total fiber content excluding wool blends 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-ŕ-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 13
1.3.3 Step 3. Filling in Missing Values 14
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
1.4 Frequently Asked Questions (FAQ) 15
1.4.1 Category Definition 15
1.4.2 Units 15
1.4.3 Methodology 17
2 SUMMARY OF FINDINGS 19
2.1 The Latent Demand in Greater China 19
2.2 Top 100 Cities Sorted By Rank 22
3 ANHUI 25
3.1 Latent Demand by Year - Anhui 25
3.2 Cities Sorted by Rank - Anhui 26
3.3 Cities Sorted Alphabetically - Anhui 29
4 BEIJING 31
4.1 Latent Demand by Year - Beijing 31
4.2 Cities Sorted by Rank - Beijing 32
4.3 Cities Sorted Alphabetically - Beijing 32
5 CHONGQING 33
5.1 Latent Demand by Year - Chongqing 33
5.2 Cities Sorted by Rank - Chongqing 34
5.3 Cities Sorted Alphabetically - Chongqing 36
6 FUJIAN 37
6.1 Latent Demand by Year - Fujian 37
6.2 Cities Sorted by Rank - Fujian 38
6.3 Cities Sorted Alphabetically - Fujian 40
7 GANSU 41
7.1 Latent Demand by Year - Gansu 41
7.2 Cities Sorted by Rank - Gansu 42
7.3 Cities Sorted Alphabetically - Gansu 44
8 GUANGDONG 45
8.1 Latent Demand by Year - Guangdong 45
8.2 Cities Sorted by Rank - Guangdong 46
8.3 Cities Sorted Alphabetically - Guangdong 49
9 GUANGXI 51
9.1 Latent Demand by Year - Guangxi 51
9.2 Cities Sorted by Rank - Guangxi 52
9.3 Cities Sorted Alphabetically - Guangxi 54
10 GUIZHOU 55
10.1 Latent Demand by Year - Guizhou 55
10.2 Cities Sorted by Rank - Guizhou 56
10.3 Cities Sorted Alphabetically - Guizhou 58
11 HAINAN 59
11.1 Latent Demand by Year - Hainan 59
11.2 Cities Sorted by Rank - Hainan 60
11.3 Cities Sorted Alphabetically - Hainan 62
12 HEBEI 63
12.1 Latent Demand by Year - Hebei 63
12.2 Cities Sorted by Rank - Hebei 64
12.3 Cities Sorted Alphabetically - Hebei 66
13 HEILONGJIANG 67
13.1 Latent Demand by Year - Heilongjiang 67
13.2 Cities Sorted by Rank - Heilongjiang 68
13.3 Cities Sorted Alphabetically - Heilongjiang 71
14 HENAN 73
14.1 Latent Demand by Year - Henan 73
14.2 Cities Sorted by Rank - Henan 74
14.3 Cities Sorted Alphabetically - Henan 77
15 HONG KONG 79
15.1 Latent Demand by Year - Hong Kong 79
15.2 Cities Sorted by Rank - Hong Kong 80
15.3 Cities Sorted Alphabetically - Hong Kong 82
16 HUBEI 83
16.1 Latent Demand by Year - Hubei 83
16.2 Cities Sorted by Rank - Hubei 84
16.3 Cities Sorted Alphabetically - Hubei 87
17 HUNAN 89
17.1 Latent Demand by Year - Hunan 89
17.2 Cities Sorted by Rank - Hunan 90
17.3 Cities Sorted Alphabetically - Hunan 93
18 JIANGSU 95
18.1 Latent Demand by Year - Jiangsu 95
18.2 Cities Sorted by Rank - Jiangsu 96
18.3 Cities Sorted Alphabetically - Jiangsu 99
19 JIANGXI 101
19.1 Latent Demand by Year - Jiangxi 101
19.2 Cities Sorted by Rank - Jiangxi 102
19.3 Cities Sorted Alphabetically - Jiangxi 104
20 JILIN 105
20.1 Latent Demand by Year - Jilin 105
20.2 Cities Sorted by Rank - Jilin 106
20.3 Cities Sorted Alphabetically - Jilin 109
21 LIAONING 111
21.1 Latent Demand by Year - Liaoning 111
21.2 Cities Sorted by Rank - Liaoning 112
21.3 Cities Sorted Alphabetically - Liaoning 115
22 MACAU 117
22.1 Latent Demand by Year - Macau 117
22.2 Cities Sorted by Rank - Macau 118
22.3 Cities Sorted Alphabetically - Macau 118
23 NEI MONGGOL 119
23.1 Latent Demand by Year - Nei Monggol 119
23.2 Cities Sorted by Rank - Nei Monggol 120
23.3 Cities Sorted Alphabetically - Nei Monggol 122
24 NINGXIA 123
24.1 Latent Demand by Year - Ningxia 123
24.2 Cities Sorted by Rank - Ningxia 124
24.3 Cities Sorted Alphabetically - Ningxia 124
25 QINGHAI 125
25.1 Latent Demand by Year - Qinghai 125
25.2 Cities Sorted by Rank - Qinghai 126
25.3 Cities Sorted Alphabetically - Qinghai 126
26 SHAANXI 127
26.1 Latent Demand by Year - Shaanxi 127
26.2 Cities Sorted by Rank - Shaanxi 128
26.3 Cities Sorted Alphabetically - Shaanxi 130
27 SHANDONG 131
27.1 Latent Demand by Year - Shandong 131
27.2 Cities Sorted by Rank - Shandong 132
27.3 Cities Sorted Alphabetically - Shandong 135
28 SHANGHAI 137
28.1 Latent Demand by Year - Shanghai 137
28.2 Cities Sorted by Rank - Shanghai 138
28.3 Cities Sorted Alphabetically - Shanghai 139
29 SHANXI 140
29.1 Latent Demand by Year - Shanxi 140
29.2 Cities Sorted by Rank - Shanxi 141
29.3 Cities Sorted Alphabetically - Shanxi 143
30 SICHUAN 144
30.1 Latent Demand by Year - Sichuan 144
30.2 Cities Sorted by Rank - Sichuan 145
30.3 Cities Sorted Alphabetically - Sichuan 148
31 TAIWAN 150
31.1 Latent Demand by Year - Taiwan 150
31.2 Cities Sorted by Rank - Taiwan 151
31.3 Cities Sorted Alphabetically - Taiwan 154
32 TIANJIN 156
32.1 Latent Demand by Year - Tianjin 156
32.2 Cities Sorted by Rank - Tianjin 157
32.3 Cities Sorted Alphabetically - Tianjin 157
33 XINJIANG UYGUR 158
33.1 Latent Demand by Year - Xinjiang Uygur 158
33.2 Cities Sorted by Rank - Xinjiang Uygur 159
33.3 Cities Sorted Alphabetically - Xinjiang Uygur 161
34 XIZANG [TIBET] 162
34.1 Latent Demand by Year - Xizang [Tibet] 162
34.2 Cities Sorted by Rank - Xizang [Tibet] 163
34.3 Cities Sorted Alphabetically - Xizang [Tibet] 163
35 YUNNAN 164
35.1 Latent Demand by Year - Yunnan 164
35.2 Cities Sorted by Rank - Yunnan 165
35.3 Cities Sorted Alphabetically - Yunnan 167
36 ZHEJIANG 168
36.1 Latent Demand by Year - Zhejiang 168
36.2 Cities Sorted by Rank - Zhejiang 169
36.3 Cities Sorted Alphabetically - Zhejiang 171
37 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 173
37.1 Disclaimers & Safe Harbor 173
37.2 ICON Group International, Inc. User Agreement Provisions 174

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