PRLog (Press Release) – Apr 19, 2011 – Bharatbook.com announces the inclusion of a new report "The 2011-2016 Outlook for Aerospace and Defense in Greater China"to their huge collection of market research reports. This econometric study covers the latent demand outlook for aerospace and defense 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 aerospace and defense. 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 2 SUMMARY OF FINDINGS 15 2.1 The Latent Demand in Greater China 15 2.2 Top 100 Cities Sorted By Rank 16 3 ANHUI 20 3.1 Latent Demand by Year - Anhui 20 3.2 Cities Sorted by Rank - Anhui 21 3.3 Cities Sorted Alphabetically - Anhui 22 4 BEIJING 24 4.1 Latent Demand by Year - Beijing 24 4.2 Cities Sorted by Rank - Beijing 25 4.3 Cities Sorted Alphabetically - Beijing 25 5 CHONGQING 26 5.1 Latent Demand by Year - Chongqing 26 5.2 Cities Sorted by Rank - Chongqing 27 5.3 Cities Sorted Alphabetically - Chongqing 28 6 FUJIAN 29 6.1 Latent Demand by Year - Fujian 29 6.2 Cities Sorted by Rank - Fujian 30 6.3 Cities Sorted Alphabetically - Fujian 31 7 GANSU 33 7.1 Latent Demand by Year - Gansu 33 7.2 Cities Sorted by Rank - Gansu 34 7.3 Cities Sorted Alphabetically - Gansu 35 8 GUANGDONG 36 8.1 Latent Demand by Year - Guangdong 36 8.2 Cities Sorted by Rank - Guangdong 37 8.3 Cities Sorted Alphabetically - Guangdong 39 9 GUANGXI 42 9.1 Latent Demand by Year - Guangxi 42 9.2 Cities Sorted by Rank - Guangxi 43 9.3 Cities Sorted Alphabetically - Guangxi 44 10 GUIZHOU 45 10.1 Latent Demand by Year - Guizhou 45 10.2 Cities Sorted by Rank - Guizhou 46 10.3 Cities Sorted Alphabetically - Guizhou 47 11 HAINAN 48 11.1 Latent Demand by Year - Hainan 48 11.2 Cities Sorted by Rank - Hainan 49 11.3 Cities Sorted Alphabetically - Hainan 50 12 HEBEI 51 12.1 Latent Demand by Year - Hebei 51 12.2 Cities Sorted by Rank - Hebei 52 12.3 Cities Sorted Alphabetically - Hebei 53 13 HEILONGJIANG 54 13.1 Latent Demand by Year - Heilongjiang 54 13.2 Cities Sorted by Rank - Heilongjiang 55 13.3 Cities Sorted Alphabetically - Heilongjiang 57 14 HENAN 59 14.1 Latent Demand by Year - Henan 59 14.2 Cities Sorted by Rank - Henan oled technology on mobile phone 60 14.3 Cities Sorted Alphabetically - Henan 62 15 HONG KONG 64 15.1 Latent Demand by Year - Hong Kong 64 15.2 Cities Sorted by Rank - Hong Kong 65 15.3 Cities Sorted Alphabetically - Hong Kong 66 16 HUBEI 67 16.1 Latent Demand by Year - Hubei 67 16.2 Cities Sorted by Rank - Hubei 68 16.3 Cities Sorted Alphabetically - Hubei 70 17 HUNAN 72 17.1 Latent Demand by Year - Hunan 72 17.2 Cities Sorted by Rank - Hunan 73 17.3 Cities Sorted Alphabetically - Hunan 75 18 JIANGSU 77 18.1 Latent Demand by Year - J my photo and wallpaper iangsu 77 18.2 Cities Sorted by Rank - Jiangsu 78 18.3 Cities Sorted Alphabetically - Jiangsu 80 19 JIANGXI 82 19.1 Latent Demand by Year - Jiangxi 82 19.2 Cities Sorted by Rank - Jiangxi 83 19.3 Cities Sorted Alphabetically - Jiangxi 84
For more information kindly visit: http://www.bharatbook.com/detail.asp?id=187388&rt=The-20 ...
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