Regional institutions for technology planning are widely recognized as one of the most important actors that make up the regional innovation systems. They help regional firms successfully execute the innovation systems by enabling them to effectively exploit internal and external knowledge. To facilitate their activities, this study analyzes regional innovation capability from a technology-oriented perspective. We first extract co-classification information from patent data and convert it into transaction data. Second, we generate association relationships between technology classes employing association rule mining and then create comprehensive influential spillovers from the generated rules using analytic network process. Finally, we figure out regional sectors that have a comparative advantage by examining gaps between regional and national innovation capability depicted by comprehensive influential spillovers. We expect that this study will contribute to facilitating the regional institutions to identify region-specific industries that have relative competitive advantages and to develop appropriate support strategies for these industries. Furthermore, this study will be a basis for building a systematic support system that aids regional experts in carrying out R&D planning activities due to its quantitative nature.

区域技术规划机构被公认为构成区域创新系统的最重要参与者之一。它们使区域公司能够有效利用内部和外部知识，从而帮助区域公司成功执行创新系统。为了促进他们的活动，本研究从面向技术的角度分析了区域创新能力。我们首先从专利数据中提取共分类信息，然后将其转换为交易数据。其次，我们使用关联规则挖掘来生成技术类之间的关联关系，然后使用解析网络过程从所生成的规则中创建全面的有影响的溢出。最后，我们通过研究综合影响溢出所描绘的区域和国家创新能力之间的差距，找出具有相对优势的区域部门。我们希望这项研究将有助于促进地区机构识别具有相对竞争优势的特定地区行业，并为这些行业制定适当的支持策略。此外，这项研究将为建立系统的支持系统提供基础，该系统由于其数量性而可以帮助区域专家进行研发计划活动。我们希望这项研究将有助于促进地区机构识别具有相对竞争优势的特定地区行业，并为这些行业制定适当的支持策略。此外，这项研究将为建立系统的支持系统提供基础，该系统由于其数量性而可以帮助区域专家进行研发计划活动。我们希望这项研究将有助于促进地区机构识别具有相对竞争优势的特定地区行业，并为这些行业制定适当的支持策略。此外，这项研究将为建立系统的支持系统提供基础，该系统由于其数量性而可以帮助区域专家进行研发计划活动。