The 2016-2021 Outlook for Instant Chocolate Milk, Weight Control Products, Whole Milk Powder, Malted Milk Powder, and Other Dry Milk Products Shipped in Consumer Packages Weighing 3 Pounds or Less Excluding Nonfat Dry Milk and Infants' Formula in Greater Strat

 Published On: Apr, 2015 |    No of Pages: 150 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the latent demand outlook for instant chocolate milk, weight control products, whole milk powder, malted milk powder, and other dry milk products shipped in consumer packages weighing 3 pounds or less excluding nonfat dry milk and infants' formula 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 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
1.4 Frequently Asked Questions (FAQ) 14
1.4.1 Category Definition 14
1.4.2 Units 15
1.4.3 Methodology 16
2 SUMMARY OF FINDINGS 18
2.1 The Latent Demand in Greater China 18
2.2 Top 100 Cities Sorted By Rank 20
3 ANHUI 23
3.1 Latent Demand by Year - Anhui 23
3.2 Cities Sorted by Rank - Anhui 24
3.3 Cities Sorted Alphabetically - Anhui 26
4 BEIJING 28
4.1 Latent Demand by Year - Beijing 28
4.2 Cities Sorted by Rank - Beijing 29
4.3 Cities Sorted Alphabetically - Beijing 29
5 CHONGQING 30
5.1 Latent Demand by Year - Chongqing 30
5.2 Cities Sorted by Rank - Chongqing 31
5.3 Cities Sorted Alphabetically - Chongqing 32
6 FUJIAN 33
6.1 Latent Demand by Year - Fujian 33
6.2 Cities Sorted by Rank - Fujian 34
6.3 Cities Sorted Alphabetically - Fujian 35
7 GANSU 37
7.1 Latent Demand by Year - Gansu 37
7.2 Cities Sorted by Rank - Gansu 38
7.3 Cities Sorted Alphabetically - Gansu 39
8 GUANGDONG 40
8.1 Latent Demand by Year - Guangdong 40
8.2 Cities Sorted by Rank - Guangdong 41
8.3 Cities Sorted Alphabetically - Guangdong 43
9 GUANGXI 46
9.1 Latent Demand by Year - Guangxi 46
9.2 Cities Sorted by Rank - Guangxi 47
9.3 Cities Sorted Alphabetically - Guangxi 48
10 GUIZHOU 49
10.1 Latent Demand by Year - Guizhou 49
10.2 Cities Sorted by Rank - Guizhou 50
10.3 Cities Sorted Alphabetically - Guizhou 51
11 HAINAN 52
11.1 Latent Demand by Year - Hainan 52
11.2 Cities Sorted by Rank - Hainan 53
11.3 Cities Sorted Alphabetically - Hainan 54
12 HEBEI 55
12.1 Latent Demand by Year - Hebei 55
12.2 Cities Sorted by Rank - Hebei 56
12.3 Cities Sorted Alphabetically - Hebei 57
13 HEILONGJIANG 59
13.1 Latent Demand by Year - Heilongjiang 59
13.2 Cities Sorted by Rank - Heilongjiang 60
13.3 Cities Sorted Alphabetically - Heilongjiang 62
14 HENAN 64
14.1 Latent Demand by Year - Henan 64
14.2 Cities Sorted by Rank - Henan 65
14.3 Cities Sorted Alphabetically - Henan 67
15 HONG KONG 69
15.1 Latent Demand by Year - Hong Kong 69
15.2 Cities Sorted by Rank - Hong Kong 70
15.3 Cities Sorted Alphabetically - Hong Kong 71
16 HUBEI 72
16.1 Latent Demand by Year - Hubei 72
16.2 Cities Sorted by Rank - Hubei 73
16.3 Cities Sorted Alphabetically - Hubei 75
17 HUNAN 77
17.1 Latent Demand by Year - Hunan 77
17.2 Cities Sorted by Rank - Hunan 78
17.3 Cities Sorted Alphabetically - Hunan 80
18 JIANGSU 82
18.1 Latent Demand by Year - Jiangsu 82
18.2 Cities Sorted by Rank - Jiangsu 83
18.3 Cities Sorted Alphabetically - Jiangsu 85
19 JIANGXI 87
19.1 Latent Demand by Year - Jiangxi 87
19.2 Cities Sorted by Rank - Jiangxi 88
19.3 Cities Sorted Alphabetically - Jiangxi 89
20 JILIN 91
20.1 Latent Demand by Year - Jilin 91
20.2 Cities Sorted by Rank - Jilin 92
20.3 Cities Sorted Alphabetically - Jilin 94
21 LIAONING 96
21.1 Latent Demand by Year - Liaoning 96
21.2 Cities Sorted by Rank - Liaoning 97
21.3 Cities Sorted Alphabetically - Liaoning 99
22 MACAU 101
22.1 Latent Demand by Year - Macau 101
22.2 Cities Sorted by Rank - Macau 102
22.3 Cities Sorted Alphabetically - Macau 102
23 NEI MONGGOL 103
23.1 Latent Demand by Year - Nei Monggol 103
23.2 Cities Sorted by Rank - Nei Monggol 104
23.3 Cities Sorted Alphabetically - Nei Monggol 105
24 NINGXIA 106
24.1 Latent Demand by Year - Ningxia 106
24.2 Cities Sorted by Rank - Ningxia 107
24.3 Cities Sorted Alphabetically - Ningxia 107
25 QINGHAI 108
25.1 Latent Demand by Year - Qinghai 108
25.2 Cities Sorted by Rank - Qinghai 109
25.3 Cities Sorted Alphabetically - Qinghai 109
26 SHAANXI 110
26.1 Latent Demand by Year - Shaanxi 110
26.2 Cities Sorted by Rank - Shaanxi 111
26.3 Cities Sorted Alphabetically - Shaanxi 112
27 SHANDONG 113
27.1 Latent Demand by Year - Shandong 113
27.2 Cities Sorted by Rank - Shandong 114
27.3 Cities Sorted Alphabetically - Shandong 116
28 SHANGHAI 118
28.1 Latent Demand by Year - Shanghai 118
28.2 Cities Sorted by Rank - Shanghai 119
28.3 Cities Sorted Alphabetically - Shanghai 120
29 SHANXI 121
29.1 Latent Demand by Year - Shanxi 121
29.2 Cities Sorted by Rank - Shanxi 122
29.3 Cities Sorted Alphabetically - Shanxi 123
30 SICHUAN 124
30.1 Latent Demand by Year - Sichuan 124
30.2 Cities Sorted by Rank - Sichuan 125
30.3 Cities Sorted Alphabetically - Sichuan 127
31 TAIWAN 129
31.1 Latent Demand by Year - Taiwan 129
31.2 Cities Sorted by Rank - Taiwan 130
31.3 Cities Sorted Alphabetically - Taiwan 132
32 TIANJIN 135
32.1 Latent Demand by Year - Tianjin 135
32.2 Cities Sorted by Rank - Tianjin 136
32.3 Cities Sorted Alphabetically - Tianjin 136
33 XINJIANG UYGUR 137
33.1 Latent Demand by Year - Xinjiang Uygur 137
33.2 Cities Sorted by Rank - Xinjiang Uygur 138
33.3 Cities Sorted Alphabetically - Xinjiang Uygur 139
34 XIZANG [THIBET] 140
34.1 Latent Demand by Year - Xizang [Thibet] 140
34.2 Cities Sorted by Rank - Xizang [Thibet] 141
34.3 Cities Sorted Alphabetically - Xizang [Thibet] 141
35 YUNNAN 142
35.1 Latent Demand by Year - Yunnan 142
35.2 Cities Sorted by Rank - Yunnan 143
35.3 Cities Sorted Alphabetically - Yunnan 144
36 ZHEJIANG 145
36.1 Latent Demand by Year - Zhejiang 145
36.2 Cities Sorted by Rank - Zhejiang 146
36.3 Cities Sorted Alphabetically - Zhejiang 147
37 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 149
37.1 Disclaimers & Safe Harbor 149
37.2 User Agreement Provisions 150

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