DUBLIN--(BUSINESS WIRE)--Research and Markets(http://www.researchandmarkets.com/research/cf4e84/the_20112016_outl) has announced the addition of the "The 2011-2016 Outlook for Herbs and Spices in Greater China" report to their offering.
The latent demand for herbs and spices in Greater China is not actual or historic sales. Nor is latent demand future sales. In fact, latent demand can be either lower or higher than actual sales if a market is inefficient. Inefficiencies arise from a number of factors, including the lack of international openness, cultural barriers to consumption, regulations, and cartel-like behavior on the part of firms. In general, however, latent demand is typically larger than actual sales in a market.
This report does not consider the notion of unit quantities, only total latent revenues (i.e., a calculation of price times quantity is never made, though one is implied). The units used in this report are U.S. dollars not adjusted for inflation (i.e., the figures incorporate inflationary trends). If inflation rates vary in a substantial way compared to recent experience, actually sales can also exceed latent demand (not adjusted for inflation). On the other hand, latent demand can be typically higher than actual sales as there are often distribution inefficiencies that reduce actual sales below the level of latent demand.
This study is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved. In fact, all the current products or services on the market can cease to exist in their present form (i.e., at a brand-, R&D specification, or corporate-image level) and all the players can be replaced by other firms (i.e., via exits, entries, mergers, bankruptcies, etc.), and there will still be latent demand for herbs and spices at the aggregate level. Product and service offerings, and the actual identity of the players involved, while important for certain issues, are relatively unimportant for estimates of latent demand.
Key Topics Covered:
- Introduction
- The Methodology
- Step 1. Product Definition And Data Collection
- Step 2. Filtering And Smoothing
- Step 3. Filling In Missing Values
- Step 4. Varying Parameter, Non-Linear Estimation
- Step 5. Fixed-Parameter Linear Estimation
- Step 6. Aggregation And Benchmarking
- Summary Of Findings
- Anhui
- Beijing
- Choangqing
- Fujian
- Gansu
- Guangdong
- Guangxi
- Guizhou
- Hainan
- Hebei
- Heilongjiang
- Henan
- Hong Kong
- Hubei
- Hunan
- Jiangsu
- Jiangxi
- Jilin
- Liaoning
- Macau
- Nei Monggol
- Ningxia
- Qinghai
- Shaanxi
- Shandong
- Shanghai
- Shanxi
- Sichuan
- Taiwan
- Tianjin
- Xinjiang Uygur
- Xizang [Thibet]
- Yunnan
- Zhejiang
- Disclaimers, Warrantees, And User Agreement Provisions
For more information visit http://www.researchandmarkets.com/research/cf4e84/the_20112016_outl