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Has a number of patents and patent transformed , and play an important guiding role of the government to strengthen research collaboration , ability and level of implementation of the patent system is a measure of the market competitiveness of countries and regions , an important indicator of the comprehensive ability , but also further enhance the comprehensive national strength foundation. Most of the domestic research confined to one region and entities , or macro- watching from the national level , or in some provinces and cities , or in certain types of innovation main body , such as research universities, enterprises, research institutions ; most of the research is from a society elements , such as the RD input of funds , research on patent output . A city or a unit is not isolated , patent output of their macro- , meso- and micro-environment are closely related . This article aims to consider patent output from the national, regional , and local social factors . Firstly, the correlation analysis of national and regional patent output and social factors , as an instance of the local patent output Tianjin patent output analysis , national, regional and social factors from the social environment and social factors in Tianjin operation mechanism reveals mutual influence of the with Tianjin patent output . This paper uses patent output , social factors relevant statistical data and mathematical models as an argument in support , the use of gray relational model on DEA data envelopment model , the social network model . And based on the national, regional , Tianjin , from the corresponding the patent output characteristics of its correlation with the social factors of departure , recommendations and countermeasures to improve patent output as well as the utilization of resources . A more comprehensive perspective for the study of patent output , contribute to a clear understanding of the social impact of the patent output factors , and targeted countermeasures to improve patent output .
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