全球乾貨海運產業報告書：2011年版 是由出版商Koncept Analytics在2011年05月所出版的。
這份英文市場調查報告書包含38 Pages 價格從美金800起跳。
反映了近年世界經濟成長與全球化的急速進展，國際貿易的骨幹的乾貨海運也急速成長著。2011-2013年預估全球乾貨海運市場將以年度平均4.6％成長。
本報告書為世界各國之乾貨海運產業最新動向的相關分析，包含產業構造（輸送貨物・地區的傾向・船團構成）、市場促進要因、主要企業概要、今後市場展望等情報，概述如下。
第1章 概要
第2章 乾貨海運：產業構造
- 乾貨海運全球市場
- 乾貨商品市場
- 主要乾貨輸出・輸入地區
- 乾貨船團
- 船歴簡介
- 船團的增大
- 各領域概要
- 好望角型貨物船
- 巴拿馬貨物船
- 大靈便型貨物船
- 靈便型貨物船
第3章 市場促進要因
- 主要傾向
- 相對船舶數的訂單件數比率低下
- 影響貨物市場的廢料件數
- 成長促進要因
- 新興經濟國的工業生產成長
- 全球鋼鐵生產量增大
- 全球穀物・鍋爐用碳的需求增大
- 全球GDP成長
第4章 乾貨市場的競争程序
第5章 企業簡介
- Diana Shipping, Inc.
- Dry Ships, Inc.
- Navios Maritime Holdings, Inc.
- Genco Shipping & Trading Ltd.
第6章 市場展望
圖表一覧
Abstract
Economies of the various nations of the world, both developing and developed
have grown manifold over the past few decades. One of the most important
features of growth in world economies and globalization in recent years is the
dry shipping market which constitutes the back bone of the international
trade. Having shown a growth over the past several years with the exception of
year 2009, the global seaborne dry bulk trade is expected to continue to grow
at a CAGR of approximately 4.6% during the period spanning 2011 to 2013.
Iron ore constitutes the largest share in seaborne dry bulk trade, followed by
coal, grain and other minor bulks. The global seaborne iron ore trade has
shown constant growth in the past decade and the same is expected to continue
in the years ahead due to expected growth in demand and production of steel in
many major economies, mainly in China and Japan. Coal, used worldwide as a
source of energy and steel production, is another important constituent of
global seaborne dry bulk trade. The demand for coal, both thermal and coking
coal, increased in 2010 in the light of growth in all major markets and the
same is anticipated to continue to increase due to growing imports of thermal
coal by China and rising demand for coking coal, particularly from Japan. The
worldwide seaborne grain trade also increased in 2010 after registering a
decline in 2009, on the back of economic recovery in the importing regions.
Of all the seaborne dry bulk trade, Asian nations are the largest consumers
with China being the largest consumer of iron ore and Japan being the largest
importer of thermal coal. The major exporters of dry bulk commodities are
Australia, Brazil, South Africa, Indonesia, and North America. The total dry
bulk fleet, which comprises our 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 growing increase in industrial production in emerging and developing
economies like China and South East Asian countries constitutes a major
driving force and is expected to translate into continued increase in demand
for dry bulk commodities in the following years. Another major factor of
growth of seaborne dry bulk trade is rising steel production and growing
demand for energy, necessitating increased trade of iron ore and coal. Rising
world population and economic recovery in the importing regions will drive the
demand and trade of grains, thus contributing in the overall growth of global
seaborne dry bulk trade.
The global dry bulk shipping market is intensely competitive and fragmented
with no single owner accounting for clear majority share. However, due to low
entry barriers in the market, there stands a risk of increased competition by
new entrants. The companies operating in the industry compete mainly on the
basis of vessel capacity, fleet size, and price, among other such factors.
The report provides an analysis of the global seaborne dry bulk industry with
a focus on major commodities like iron ore, coal and grain. It assesses the
factors that are influencing the demand and supply of dry bulk vessels. It
also presents a competitive landscape of the dry bulk shipping industry with a
focus on leading carriers and their respective business strategies.
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.
Table of Contents
1. Overview
- 1.1 Introduction
- 1.2 Dry Bulk Vessel Types
2. Dry Bulk Shipping - Market Structure
- 2.1 Global Dry Bulk Shipping Market
- 2.2 Dry Bulk Commodities Market
- 2.2.1 Iron Ore
- 2.2.2 Coal
- 2.2.3 Grain
- 2.2.4 Minor Bulks
- 2.3 Major Dry Bulk Exporting and Importing Regions
- 2.3.1 China
- 2.3.2 Japan
- 2.3.3 Far East (Excluding China and Japan)
- 2.3.4 Western Europe
- 2.4 Dry Bulk Fleet
- 2.4.1 Age Profile
- 2.4.2 Fleet Growth
- 2.4.3 Segment Overview
- Capesize Dry Bulk Carriers
- Panamax Dry Bulk Carriers
- Handymax Dry Bulk Carriers
- Handysize Dry Bulk Carriers
3. Market Dynamics
- 3.1 Key Trends
- 3.1.1 Orderbook as a Percentage of Fleet is Shrinking
- 3.1.2 Scrapping Affected by Freight Market
- 3.2 Growth Drivers
- 3.2.1 Growth in Emerging Countries' Industrial Production
- 3.2.2 Rise in Global Steel Production
- 3.2.3 Increase in Global Demand for Grain and Steam Coal
- 3.2.4 World GDP Growth
4. Competitive Scenario of Dry Bulk Market
5. Company Profiles
- Company Overview
- Key Financials
- Business Strategies
- Expansion of Fleet
- Maintaining a Strong Balance Sheet
- Company Overview
- Key Financials
- Business Strategies
- Diversification of Business
- 5.3 Navios Maritime Holdings, Inc.
- Company Overview
- Key Financials
- Business Strategies
- High Quality, Modern Fleet of Vessels
- Creating a Balance Vessel Ownership
- 5.4 Genco Shipping & Trading Ltd.
- Company Overview
- Key Financials
- Business Strategies
- Proper Management and Expansion of Fleet
- Maintain Low Cost of Operations
6. Market Outlook
- 6.1 Market Forecast
- 6.2 Forecast Methodology
- 6.2.1 Dependent and Independent Variables
- 6.2.2 Correlation Analysis
- 6.2.3 Regression Analysis
List of Charts
- Main Segments of the Bulk Fleet
- Global Seaborne Dry Bulk Trade Growth, 2001-2010
- Global Seaborne Dry Bulk Trade Breakdown by Commodity, 2010
- Growth in Seaborne Iron Ore Trade, 2001-2011E
- Growth in Seaborne Coal Trade, 2001-2011E
- Growth in Grain Trade, 2001-2011E
- Growth in Minor Bulks' Trade, 2001-2011E
- Breakdown of the World' s Total Ocean Going Fleet by Capacity, 2010
- Fleet Breakdown by Vessel Class by Capacity, 2010
- Dry Bulk Fleet Age Profile, 2010
- Total Fleet Growth by Segment, 2001-2012E
- Order book to Fleet Ratio, 2009-2012E
- Scrapping Vs Panamax Spot Charter Rates, 2001-2011E
- Global Industrial Production Growth vs. Seaborne Dry Bulk Growth,
2005-2011E
- Growth in World Steel Production, 2007-2012E
- Growth in World GDP, 2004-2013E
- Diana' s Shipping Revenues by Business Segments, 2010
- Diana Shipping' s Revenues and Net Income, 2006-2010
- Dry Ships, Inc.' s Revenues by Business Segments, 2010
- Dry Ships, Inc.' s Revenues and Net Income, 2006-2010
- Navios Holdings' Revenues by Business Segments, 2010
- Navios Holding' s Revenues and Net Income, 2006-2010
- Genco' s Revenues and Net Income, 2006-2010
- Global Seaborne Dry Bulk Trade Forecast, 2009 - 2013F
List of Tables
- Seaborne Dry Bulk Importing Regions by Major Bulk, 2010
- Seaborne Dry Bulk Exporting Regions by Major Bulk, 2010
- China' s Major Dry Bulk Imports, Q309 & Q310
- Japan' s Major Dry Bulk Imports, Q309 & Q310
- Far East' s Major Dry Bulk Imports, Q309 & Q310
- Western Europe' s Major Dry Bulk Imports, Q309 & Q310
- Fleet Development for Capesize Dry Bulk Carriers, 2009-2012E
- Fleet Development for Panamax Dry Bulk Carriers, 2009-2012E
- Fleet Development for Handymax Dry Bulk Carriers, 2009-2012E
- Fleet Development for Handysize Dry Bulk Carriers, 2009-2012E
- Leading Dry Bulk Ship Owners, 2010
- Dependent & Independent Variables (2004 - 2010)
- Correlation Matrix
- Model Summary - Coefficient of Determination
- Regression Coefficients Output
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