From the perspective of input and output, this paper constructs an evaluation index system for the status quo of technology\ninnovation resource allocation in Chinaâ??s aerospace industry. Taking the industrial panel data of 20 provincial regions from 2007\nto 2016 in China as samples, this paper uses the stochastic frontier method, which is improved by the projection pursuit model\nbased on accelerated genetic algorithm, to analyze the factors influencing the allocation efficiency of technology innovation\nresource in the aerospace industry and then make a static evaluation for the current situation. In addition, based on the perspective\nof velocity characteristics, this study uses the dynamic comprehensive evaluation model to evaluate the resource allocation of\ntechnology innovation in the aerospace industry. The empirical research shows that the resource allocation efficiency of\ntechnology innovation in the aerospace industry is generally at the lower middle level, indicating an unbalanced trend of â??reverseâ?\nallocation with the level of regional economic development. It is also found that the efficiency improvement effect in recent years is\nnot obvious. At last, based on the studyâ??s findings, some countermeasures and suggestions are put forward to improve the\ncurrent situation.
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