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Global Crop Protection (Pesticides) Market Report - 2010 Edition
Koncept Analytics, Nov 2010, Pages: 45
Crop protection is widely applied across the world and plays an important role in securing agricultural production from weeds, insects, diseases and other pests. Due to the increasing population, the arable land per capita has been declining, and to feed the increasing population on the constrained arable land, the crop protection products prove to be a rescue. The major segments of crop protection market include: insecticides, herbicides and weedicides. Globally, herbicides dominate the crop protection market.
Europe has been the largest market for crop protection products and Taiwan has the largest per hectare pesticide consumption. The global crop protection market has been highly consolidated, with top six players controlling the maximum share. The top four players in the industry have been profiled in the report along with their strategies for growth.
Two types of companies exist in the crop protection market-Innovators and Generics. Innovators are the patent holders, whereas generic players manufacture off-patented products. During the last decade, the share of generic products has been increasing. The discovery and development costs of new products have also increased in the past few years.
The current report delves into the crop protection market globally and it also covers the major regions, like the US, Argentina, Europe, Germany, France, UK, China and India. The report analyses the key drivers and challenges in the market. Some factors, which are likely to boost up the market in the coming years include: increasing population, growing urban population and declining arable land per person. The report also discusses the challenges faced by the industry.
By combining SPSS Inc.'s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.
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