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China’s Shipbuilding Capacity Utilization Monitoring Index for the Second Quarter of 2017

China Shipbuilding Industry Association · Capacity Utilization Monitoring Index · 2017-07-28 (page "Time" field) · 360 words
original: https://www.cansi.org.cn/cms/document/10412.html
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China’s Shipbuilding Capacity Utilization Monitoring Index for the Second Quarter of 2017

Issuing agency: China Association of the National Shipbuilding Industry
Column: Capacity Utilization Monitoring Index
source: https://www.cansi.org.cn/cms/document/10412.html


The China Shipbuilding Capacity Utilization Monitoring Index (CCI) in the second quarter of 2017 was 649 points, an increase of 39 points compared with 610 points in the second quarter of 2016, and a year-on-year increase of 6.4%; compared with 670 points in the first quarter of 2017, it dropped 21 points, a month-on-month decrease of 3.1%. The index has fallen back from the beginning of the year, and is still in the cold range.

Specifically, in the second quarter, the shipping market fluctuated and declined. The orders held by key shipbuilding companies continued to decline, and leading indicators dropped significantly. Synchronous indicators such as main business income and operating profit margin of key shipbuilding companies increased slightly from the previous quarter, and capacity utilization declined slightly compared with the first quarter.

It is expected that in the third quarter of 2017, the shipping market will still fluctuate slightly at a low level, the new shipbuilding market will hardly rebound significantly, and the number of orders on hand will continue to decline. China's shipbuilding capacity utilization monitoring index will decline compared with the second quarter, and overall it will still be in a cold range.

Figure China Shipbuilding Capacity Utilization Monitoring Index (Quarterly)

1. China Shipbuilding Industry Economics and Market Research Center provides partial technical support;

2. The China Shipbuilding Capacity Utilization Monitoring Index (quarterly) chart will display the data of the past 4 years.