The 2016-2021 Outlook for Herbal Tonics and Drinks in Greater China

 Published On: Sep, 2015 |    No of Pages: 159 |  Published By: Icon Group International, Inc | Format: PDF
Request Free Sample

This econometric study covers the latent demand outlook for herbal tonics and drinks 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 1,000 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 exercise is quite useful for persons setting up distribution centers or sales force strategies. Using econometric models which project fundamental economic dynamics within each region and city of influence, latent demand estimates are created for herbal tonics and drinks. 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 12
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 13
1.4 Frequently Asked Questions (FAQ) 14
1.4.1 Category Definition 14
1.4.2 Units 14
1.4.3 Methodology 15
2 SUMMARY OF FINDINGS 17
2.1 The Latent Demand in Greater China 17
2.2 Top 100 Cities Sorted By Rank 19
3 ANHUI 22
3.1 Latent Demand by Year - Anhui 22
3.2 Cities Sorted by Rank - Anhui 23
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 33
6 FUJIAN 34
6.1 Latent Demand by Year - Fujian 34
6.2 Cities Sorted by Rank - Fujian 35
6.3 Cities Sorted Alphabetically - Fujian 37
7 GANSU 38
7.1 Latent Demand by Year - Gansu 38
7.2 Cities Sorted by Rank - Gansu 39
7.3 Cities Sorted Alphabetically - Gansu 41
8 GUANGDONG 42
8.1 Latent Demand by Year - Guangdong 42
8.2 Cities Sorted by Rank - Guangdong 43
8.3 Cities Sorted Alphabetically - Guangdong 46
9 GUANGXI 48
9.1 Latent Demand by Year - Guangxi 48
9.2 Cities Sorted by Rank - Guangxi 49
9.3 Cities Sorted Alphabetically - Guangxi 51
10 GUIZHOU 52
10.1 Latent Demand by Year - Guizhou 52
10.2 Cities Sorted by Rank - Guizhou 53
10.3 Cities Sorted Alphabetically - Guizhou 54
11 HAINAN 55
11.1 Latent Demand by Year - Hainan 55
11.2 Cities Sorted by Rank - Hainan 56
11.3 Cities Sorted Alphabetically - Hainan 57
12 HEBEI 58
12.1 Latent Demand by Year - Hebei 58
12.2 Cities Sorted by Rank - Hebei 59
12.3 Cities Sorted Alphabetically - Hebei 61
13 HEILONGJIANG 62
13.1 Latent Demand by Year - Heilongjiang 62
13.2 Cities Sorted by Rank - Heilongjiang 63
13.3 Cities Sorted Alphabetically - Heilongjiang 65
14 HENAN 66
14.1 Latent Demand by Year - Henan 66
14.2 Cities Sorted by Rank - Henan 67
14.3 Cities Sorted Alphabetically - Henan 70
15 HONG KONG 72
15.1 Latent Demand by Year - Hong Kong 72
15.2 Cities Sorted by Rank - Hong Kong 73
15.3 Cities Sorted Alphabetically - Hong Kong 75
16 HUBEI 76
16.1 Latent Demand by Year - Hubei 76
16.2 Cities Sorted by Rank - Hubei 77
16.3 Cities Sorted Alphabetically - Hubei 80
17 HUNAN 82
17.1 Latent Demand by Year - Hunan 82
17.2 Cities Sorted by Rank - Hunan 83
17.3 Cities Sorted Alphabetically - Hunan 86
18 JIANGSU 88
18.1 Latent Demand by Year - Jiangsu 88
18.2 Cities Sorted by Rank - Jiangsu 89
18.3 Cities Sorted Alphabetically - Jiangsu 92
19 JIANGXI 94
19.1 Latent Demand by Year - Jiangxi 94
19.2 Cities Sorted by Rank - Jiangxi 95
19.3 Cities Sorted Alphabetically - Jiangxi 97
20 JILIN 98
20.1 Latent Demand by Year - Jilin 98
20.2 Cities Sorted by Rank - Jilin 99
20.3 Cities Sorted Alphabetically - Jilin 101
21 LIAONING 102
21.1 Latent Demand by Year - Liaoning 102
21.2 Cities Sorted by Rank - Liaoning 103
21.3 Cities Sorted Alphabetically - Liaoning 105
22 MACAU 106
22.1 Latent Demand by Year - Macau 106
22.2 Cities Sorted by Rank - Macau 107
22.3 Cities Sorted Alphabetically - Macau 107
23 NEI MONGGOL 108
23.1 Latent Demand by Year - Nei Monggol 108
23.2 Cities Sorted by Rank - Nei Monggol 109
23.3 Cities Sorted Alphabetically - Nei Monggol 111
24 NINGXIA 112
24.1 Latent Demand by Year - Ningxia 112
24.2 Cities Sorted by Rank - Ningxia 113
24.3 Cities Sorted Alphabetically - Ningxia 113
25 QINGHAI 114
25.1 Latent Demand by Year - Qinghai 114
25.2 Cities Sorted by Rank - Qinghai 115
25.3 Cities Sorted Alphabetically - Qinghai 115
26 SHAANXI 116
26.1 Latent Demand by Year - Shaanxi 116
26.2 Cities Sorted by Rank - Shaanxi 117
26.3 Cities Sorted Alphabetically - Shaanxi 119
27 SHANDONG 120
27.1 Latent Demand by Year - Shandong 120
27.2 Cities Sorted by Rank - Shandong 121
27.3 Cities Sorted Alphabetically - Shandong 124
28 SHANGHAI 126
28.1 Latent Demand by Year - Shanghai 126
28.2 Cities Sorted by Rank - Shanghai 127
28.3 Cities Sorted Alphabetically - Shanghai 128
29 SHANXI 129
29.1 Latent Demand by Year - Shanxi 129
29.2 Cities Sorted by Rank - Shanxi 130
29.3 Cities Sorted Alphabetically - Shanxi 132
30 SICHUAN 133
30.1 Latent Demand by Year - Sichuan 133
30.2 Cities Sorted by Rank - Sichuan 134
30.3 Cities Sorted Alphabetically - Sichuan 134
31 TAIWAN 135
31.1 Latent Demand by Year - Taiwan 135
31.2 Cities Sorted by Rank - Taiwan 136
31.3 Cities Sorted Alphabetically - Taiwan 139
32 TIANJIN 141
32.1 Latent Demand by Year - Tianjin 141
32.2 Cities Sorted by Rank - Tianjin 142
32.3 Cities Sorted Alphabetically - Tianjin 142
33 XINJIANG UYGUR 143
33.1 Latent Demand by Year - Xinjiang Uygur 143
33.2 Cities Sorted by Rank - Xinjiang Uygur 144
33.3 Cities Sorted Alphabetically - Xinjiang Uygur 146
34 XIZANG [TIBET] 147
34.1 Latent Demand by Year - Xizang [Tibet] 147
34.2 Cities Sorted by Rank - Xizang [Tibet] 148
34.3 Cities Sorted Alphabetically - Xizang [Tibet] 148
35 YUNNAN 149
35.1 Latent Demand by Year - Yunnan 149
35.2 Cities Sorted by Rank - Yunnan 150
35.3 Cities Sorted Alphabetically - Yunnan 152
36 ZHEJIANG 153
36.1 Latent Demand by Year - Zhejiang 153
36.2 Cities Sorted by Rank - Zhejiang 154
36.3 Cities Sorted Alphabetically - Zhejiang 156
37 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 158
37.1 Disclaimers & Safe Harbor 158
37.2 ICON Group International, Inc. User Agreement Provisions 159

If the above report does not have the information suitable for your business, we can provide custom research that can be lucrative for your business or enhance your profession.