Shipbuilding Performance Based On The StoNED Methods Within China,Korea And Japan

The impact of the economic crisis on China’s shipbuilding industry is huge.2011and2012, China’s shipbuilding industry new orders continued to decline, small shipyards andeven some large and medium-sized shipyards faced the situation of no vessel being made.But at the same time, China’s shipbuilding industry is facing the problem of excess capacityand inefficiency. China’s shipbuilding industry must learn from the experience ofshipbuilding industry in Japan, South Korea. Turn the development model from focusingonly on the scale to coordinating the scale and efficiency, to enhance the competitiveness ofshipbuilding.(1) Analysis of the characteristics of the shipbuilding industry which is different fromthe general equipment manufacturing industry. Departure from the world shipbuildingtransfer path and the competitive landscape, determine the dominance in China, SouthKorea’s and Japan shipbuilding industry as a comparative study. Japan, Korea, China’sshipbuilding industry status quo, as well as Japan and South Korea the main shipbuildingenterprises from both macro and micro point of view are described based on the transfer ofthe shipbuilding industry in chronological order., Analysis the advantages anddisadvantages of China’s shipbuilding industry contrasts to Japan, South Korea’sshipbuilding industry, provide a basis for efficiency measurement and comparison of Japanand South Korea’s shipbuilding industry.(2) Analyzed two common efficiency calculation models: DEA model and SFAmodel compares their advantages and disadvantages, and then leads to the StoNED model.Stochastic Non-parametric data Envelopment of Data (StoNED) combined with methodsmeasuring of the efficiency has the advantage of better integrated evaluation of theefficiency of the shipbuilding enterprises. China, Japan and South Korea15theshipbuilding business efficiency measure results show that: the efficiency of China’sshipbuilding industry is lower than Japan, South Korea’s shipbuilding industry. But thetrend of China’s shipbuilding industry improving efficiency is clear.(3) On the basis of estimates above, empirical analysis of the efficiency factors ofChina’s shipbuilding industry. Shipbuilding Efficiency of numerous and complex factorswill influence each other, a linear regression model cannot meet the assumptions. Based onabove, this article choices BP neural network to do the elastic analysis. Studies show thatfirm size and management level are the most important factors that affect the efficiency ofChina’s shipbuilding industry. (4) Clear the functions of government, make full use of the guiding role of policiesand laws and regulations, improve the financing environment of shipbuilding enterprises,actively carry out the merger and reorganization strategy to help enterprises to change theirmode of growth, change their modes of growth, devote to building the ship industryresearch institute; coordinated development of scale and efficiency, strengthen R&D andhigh-tech personnel training capacity, improve the shipbuilding enterprise marketpredictive ability and establish a sound information management to improve shipbuildingefficiency.