The 2016-2021 Outlook for Canned Marmalades in Greater China

 Published On: Sep, 2015 |    No of Pages: 152 |  Published By: Icon Group International, Inc | Format: PDF
Request Free Sample

This econometric study covers the latent demand outlook for canned marmalades 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 800 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 canned marmalades. 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 12
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 25
4 BEIJING 26
4.1 Latent Demand by Year - Beijing 26
4.2 Cities Sorted by Rank - Beijing 27
4.3 Cities Sorted Alphabetically - Beijing 27
5 CHONGQING 28
5.1 Latent Demand by Year - Chongqing 28
5.2 Cities Sorted by Rank - Chongqing 29
5.3 Cities Sorted Alphabetically - Chongqing 31
6 FUJIAN 32
6.1 Latent Demand by Year - Fujian 32
6.2 Cities Sorted by Rank - Fujian 33
6.3 Cities Sorted Alphabetically - Fujian 35
7 GANSU 36
7.1 Latent Demand by Year - Gansu 36
7.2 Cities Sorted by Rank - Gansu 37
7.3 Cities Sorted Alphabetically - Gansu 38
8 GUANGDONG 39
8.1 Latent Demand by Year - Guangdong 39
8.2 Cities Sorted by Rank - Guangdong 40
8.3 Cities Sorted Alphabetically - Guangdong 43
9 GUANGXI 45
9.1 Latent Demand by Year - Guangxi 45
9.2 Cities Sorted by Rank - Guangxi 46
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 53
12 HEBEI 54
12.1 Latent Demand by Year - Hebei 54
12.2 Cities Sorted by Rank - Hebei 55
12.3 Cities Sorted Alphabetically - Hebei 57
13 HEILONGJIANG 58
13.1 Latent Demand by Year - Heilongjiang 58
13.2 Cities Sorted by Rank - Heilongjiang 59
13.3 Cities Sorted Alphabetically - Heilongjiang 61
14 HENAN 62
14.1 Latent Demand by Year - Henan 62
14.2 Cities Sorted by Rank - Henan 63
14.3 Cities Sorted Alphabetically - Henan 66
15 HONG KONG 68
15.1 Latent Demand by Year - Hong Kong 68
15.2 Cities Sorted by Rank - Hong Kong 69
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 76
17.1 Latent Demand by Year - Hunan 76
17.2 Cities Sorted by Rank - Hunan 77
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 86
19 JIANGXI 88
19.1 Latent Demand by Year - Jiangxi 88
19.2 Cities Sorted by Rank - Jiangxi 89
19.3 Cities Sorted Alphabetically - Jiangxi 91
20 JILIN 92
20.1 Latent Demand by Year - Jilin 92
20.2 Cities Sorted by Rank - Jilin 93
20.3 Cities Sorted Alphabetically - Jilin 95
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 100
22.1 Latent Demand by Year - Macau 100
22.2 Cities Sorted by Rank - Macau 101
22.3 Cities Sorted Alphabetically - Macau 101
23 NEI MONGGOL 102
23.1 Latent Demand by Year - Nei Monggol 102
23.2 Cities Sorted by Rank - Nei Monggol 103
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 113
27 SHANDONG 114
27.1 Latent Demand by Year - Shandong 114
27.2 Cities Sorted by Rank - Shandong 115
27.3 Cities Sorted Alphabetically - Shandong 118
28 SHANGHAI 120
28.1 Latent Demand by Year - Shanghai 120
28.2 Cities Sorted by Rank - Shanghai 121
28.3 Cities Sorted Alphabetically - Shanghai 122
29 SHANXI 123
29.1 Latent Demand by Year - Shanxi 123
29.2 Cities Sorted by Rank - Shanxi 124
29.3 Cities Sorted Alphabetically - Shanxi 126
30 SICHUAN 127
30.1 Latent Demand by Year - Sichuan 127
30.2 Cities Sorted by Rank - Sichuan 128
30.3 Cities Sorted Alphabetically - Sichuan 128
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 133
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 [TIBET] 140
34.1 Latent Demand by Year - Xizang [Tibet] 140
34.2 Cities Sorted by Rank - Xizang [Tibet] 141
34.3 Cities Sorted Alphabetically - Xizang [Tibet] 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 145
36 ZHEJIANG 146
36.1 Latent Demand by Year - Zhejiang 146
36.2 Cities Sorted by Rank - Zhejiang 147
36.3 Cities Sorted Alphabetically - Zhejiang 149
37 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 151
37.1 Disclaimers & Safe Harbor 151
37.2 ICON Group International, Inc. User Agreement Provisions 152

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.