Thursday, July 29th, 2010

Chinese Agricultural Biotechnology Industry Outlook

October 28, 2009 by BiotechSector.com  
Filed under Biotech News

Report on 2009 2014 Outlook for Agricultural Biotechnology in Greater China

This econometric study covers the latent demand outlook for agricultural biotechnology crossways 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 crossways some 1,100 cities in Greater China. ( http://www.bharatbook.com/Market-Research-Reports/Report-on-2009-2014-Outlook-for-Agricultural-Biotechnology-in-Greater-China.html )

For apiece 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 grant the reader to swiftly gauge a city’s marketing and distribution value vis-à-vis others. This exercise is quite useful for persons setting up distribution centers or income force strategies. Using econometric models which project fundamental economic dynamics within apiece region and city of influence, latent demand estimates are created for agricultural biotechnology. 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 think about 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 income 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 agricultural biotechnology in Greater China. It also shows how the P.I.E. is divided and concentrated crossways the cities and regional markets of Greater China. For apiece 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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