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The 2009-2014 Outlook for Mobile Adult Content Services in Greater China

Published by: Icon Group International, Inc.

Published: Dec. 2, 2008 - 141 Pages


Table of Contents


1INTRODUCTION
1.1Overview
1.2What is Latent Demand and the P.I.E.?
1.3The Methodology
2SUMMARY OF FINDINGS
2.1The Latent Demand in Greater China
2.2Top 100 Cities Sorted By Rank
3ANHUI
3.1Latent Demand by Year - Anhui
3.2Cities Sorted by Rank - Anhui
3.3Cities Sorted Alphabetically - Anhui
4BEIJING
4.1Latent Demand by Year - Beijing
4.2Cities Sorted by Rank - Beijing
4.3Cities Sorted Alphabetically - Beijing
5CHONGQING
5.1Latent Demand by Year - Chongqing
5.2Cities Sorted by Rank - Chongqing
5.3Cities Sorted Alphabetically - Chongqing
6FUJIAN
6.1Latent Demand by Year - Fujian
6.2Cities Sorted by Rank - Fujian
6.3Cities Sorted Alphabetically - Fujian
7GANSU
7.1Latent Demand by Year - Gansu
7.2Cities Sorted by Rank - Gansu
7.3Cities Sorted Alphabetically - Gansu
8GUANGDONG
8.1Latent Demand by Year - Guangdong
8.2Cities Sorted by Rank - Guangdong
8.3Cities Sorted Alphabetically - Guangdong
9GUANGXI
9.1Latent Demand by Year - Guangxi
9.2Cities Sorted by Rank - Guangxi
9.3Cities Sorted Alphabetically - Guangxi
10GUIZHOU
10.1Latent Demand by Year - Guizhou
10.2Cities Sorted by Rank - Guizhou
10.3Cities Sorted Alphabetically - Guizhou
11HAINAN
11.1Latent Demand by Year - Hainan
11.2Cities Sorted by Rank - Hainan
11.3Cities Sorted Alphabetically - Hainan
12HEBEI
12.1Latent Demand by Year - Hebei
12.2Cities Sorted by Rank - Hebei
12.3Cities Sorted Alphabetically - Hebei
13HEILONGJIANG
13.1Latent Demand by Year - Heilongjiang
13.2Cities Sorted by Rank - Heilongjiang
13.3Cities Sorted Alphabetically - Heilongjiang
14HENAN
14.1Latent Demand by Year - Henan
14.2Cities Sorted by Rank - Henan
14.3Cities Sorted Alphabetically - Henan
15HONG KONG
15.1Latent Demand by Year - Hong Kong
15.2Cities Sorted by Rank - Hong Kong
15.3Cities Sorted Alphabetically - Hong Kong
16HUBEI
16.1Latent Demand by Year - Hubei
16.2Cities Sorted by Rank - Hubei
16.3Cities Sorted Alphabetically - Hubei
17HUNAN
17.1Latent Demand by Year - Hunan
17.2Cities Sorted by Rank - Hunan
17.3Cities Sorted Alphabetically - Hunan
18JIANGSU
18.1Latent Demand by Year - Jiangsu
18.2Cities Sorted by Rank - Jiangsu
18.3Cities Sorted Alphabetically - Jiangsu
19JIANGXI
19.1Latent Demand by Year - Jiangxi
19.2Cities Sorted by Rank - Jiangxi
19.3Cities Sorted Alphabetically - Jiangxi
20JILIN
20.1Latent Demand by Year - Jilin
20.2Cities Sorted by Rank - Jilin
20.3Cities Sorted Alphabetically - Jilin
21LIAONING
21.1Latent Demand by Year - Liaoning
21.2Cities Sorted by Rank - Liaoning
21.3Cities Sorted Alphabetically - Liaoning
22MACAU
22.1Latent Demand by Year - Macau
22.2Cities Sorted by Rank - Macau
22.3Cities Sorted Alphabetically - Macau
23NEI MONGGOL
23.1Latent Demand by Year - Nei Monggol
23.2Cities Sorted by Rank - Nei Monggol
23.3Cities Sorted Alphabetically - Nei Monggol
24NINGXIA
24.1Latent Demand by Year - Ningxia
24.2Cities Sorted by Rank - Ningxia
24.3Cities Sorted Alphabetically - Ningxia
25QINGHAI
25.1Latent Demand by Year - Qinghai
25.2Cities Sorted by Rank - Qinghai
25.3Cities Sorted Alphabetically - Qinghai
26SHAANXI
26.1Latent Demand by Year - Shaanxi
26.2Cities Sorted by Rank - Shaanxi
26.3Cities Sorted Alphabetically - Shaanxi
27SHANDONG
27.1Latent Demand by Year - Shandong
27.2Cities Sorted by Rank - Shandong
27.3Cities Sorted Alphabetically - Shandong
28SHANGHAI
28.1Latent Demand by Year - Shanghai
28.2Cities Sorted by Rank - Shanghai
28.3Cities Sorted Alphabetically - Shanghai
29SHANXI
29.1Latent Demand by Year - Shanxi
29.2Cities Sorted by Rank - Shanxi
29.3Cities Sorted Alphabetically - Shanxi
30SICHUAN
30.1Latent Demand by Year - Sichuan
30.2Cities Sorted by Rank - Sichuan
30.3Cities Sorted Alphabetically - Sichuan
31TAIWAN
31.1Latent Demand by Year - Taiwan
31.2Cities Sorted by Rank - Taiwan
31.3Cities Sorted Alphabetically - Taiwan
32TIANJIN
32.1Latent Demand by Year - Tianjin
32.2Cities Sorted by Rank - Tianjin
32.3Cities Sorted Alphabetically - Tianjin
33XINJIANG UYGUR
33.1Latent Demand by Year - Xinjiang Uygur
33.2Cities Sorted by Rank - Xinjiang Uygur
33.3Cities Sorted Alphabetically - Xinjiang Uygur
34XIZANG [THIBET]
34.1Latent Demand by Year - Xizang [Thibet]
34.2Cities Sorted by Rank - Xizang [Thibet]
34.3Cities Sorted Alphabetically - Xizang [Thibet]
35YUNNAN
35.1Latent Demand by Year - Yunnan
35.2Cities Sorted by Rank - Yunnan
35.3Cities Sorted Alphabetically - Yunnan
36ZHEJIANG
36.1Latent Demand by Year - Zhejiang
36.2Cities Sorted by Rank - Zhejiang
36.3Cities Sorted Alphabetically - Zhejiang
37DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS
37.1Disclaimers & Safe Harbor
37.2ICON Group International, Inc. User Agreement Provisions

Abstract

This econometric study covers the latent demand outlook for mobile adult content services 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 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 mobile adult content services. 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 cities in Greater China). This study gives, however, my estimates for the latent demand, or the P.I.E., for mobile adult content services in Greater China. It also shows how the P.I.E. is divided and concentrated across the cities and regional markets of Greater China. For each region, I also show my estimates of how the P.I.E. grows over time. 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.

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