ResearchMoz.us include new market research report " Global Dry Bulk Shipping Market Report 2014 Edition: Industry Size, Shares, Growth, Analysis, Trends And Forecast" to its huge collection of research reports.
The global dry bulk shipping industry is an essential part of the international shipping industry, with ocean-going vessels representing the most efficient, and often the only method of transporting large volumes of basic commodities and finished products. The dry bulk shipping is defined as the transportation of homogenous bulk cargoes by bulk vessels on an irregular scheduled line.
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Iron ore, coal and grain are the three main constituents of the dry bulk shipping industry followed by some minor bulk commodities. Iron ore constitutes for the major share in the industry followed by coal. Iron ore, coal and minor bulks have shown a tremendous growth in past years and expected to continue this growth in the coming years. The total dry bulk fleet, which comprises four types of vessels: Capesize, Panamax, Handymax, and Handysize; is showing a steady growth on the back of increased new orders and reduced scrapping of dry bulk vessels.
The key factors driving growth of the global dry bulk industry include rising urban population, ameliorate global economic development, rising grain production and unceasingly climbing coal industry. Also, escalating steel industry which is driving iron ore production and logistics around is a major driver for seaborne dry bulk market. Some of the noteworthy developments of this industry include rebounded dry bulk freight rates, shrinking charter hire prices and over-supply of dry bulk carrier capacity. However, the growth of respective industry is hindered by the acts of piracy, adverse economic conditions and strict rules and regulations.
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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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