| Fujian Province is the main body of the west coast economic zone and the backbone of economic development of the West Coast. Manufacturing industries play an important role in economic development in Fujian Province and construction of the Economic Zone. At present, the rapid developments of the manufacturing industries are mainly relying on low-cost competitive advantage. But this makes us pay a big price in resources and environment. Now we should be aware that our cost advantage is gradually disappearing. If we can’t speed up the pace of technological innovation and make full use of the leading role of technology innovation to promote to the sustainable development of manufacturing industries, we will be increasingly losing competitiveness in the future. Therefore, sustainable development of the manufacturing industry requires constant attention to technological innovation. However, whether the more technological innovation resources, the better development of the manufacturing industry? In addition, we must realize that the resource is limited. So we can’t be endless to increase investment. What’s more, the amount of technology innovation resources and the strength of competitiveness of manufacturing industries are not necessarily a positive correlation. And the technological innovation efficiency even plays a more important role. Therefore, in order to achieve sustained growth, on basis of an increase in technology innovation, manufacturers should pay more attention to enhance the level of technology innovation efficiency.Based on the theory of manufacturing and technical innovation efficiency, the technology innovation process of manufacturing industry was divided into technology research and development, technology application and transformation as well as environmental pollution control with consideration of its internal mechanism. Thus according to the above three stages, technology innovation efficiency would be respectively decomposed into technology research and development efficiency, technology application and transformation efficiency, and environmental pollution control efficiency. Then based on characteristics of input and output factors in each sub-stage of technological innovation activities,we took into account human, material and financial to decide appropriate indicators for each sub-stage. Meanwhile, the indexes were divided into desired indexes and undesired indexes under the index attributes. At the same time, gray relational analysis was used to determine the reasonableness of indicators. Given this, we constructed the input-output evaluation index system of all stages of manufacturing industries. On this basis, DEA efficiency evaluation model of two-stage serial system was extended, And then the virtual system method and cross-efficiency evaluation method were introduced to construct DEA cross-evaluation model of three-stage series system. In addition, we applied entropy method to determine the weight of each decision-making unit in the cross efficiency matrix, and adopt weighted sum method to compute the final evaluation value. Based on this model, we also combined related data of manufacturing industries in Fujian Province between 2005 and 2012, and then applied it. Finally, the overall technology innovation cross-efficiency and each sub-stage technology innovation cross-efficiency of 29 manufacturing industries were measured and analyzed. Moreover, by utilized the project analysis, the adjustment quantity of non-DEA efficient DMU was ensured. Thus targeted strategies could be put forward to improve the technological innovation efficiency. The research suggests that the technology innovation cross efficiency values of 29 manufacturing industries in Fujian province are generally low, including the overall cross efficiency and cross efficiencies of three sub-stages. Therefore there is still much room for improving the efficiencies. |
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