产业集群社会责任的建设机理及聚合测度指数研究

Industrial cluster social responsibility is a new economic phenomenon based on corporate social responsibility and supply chain social responsibility. Pittsburgh advanced manufacturing industrial cluster in America and Suzhou industrial park in China have already given initial results. Therefore, the new definition of industrial cluster responsibility was proposed, and the construction mechanism was studied. To promote the construction by evaluation, the construction of index system based on mechanism analysis was explored, and the method of aggregation index in the background of multi-sources was studied. Furthermore, Industrial Cluster Social Responsibility Index facing multiple demand themes was designed, that is the index which established according to the diversity of demands, which can improve the support of decision makers with different demands. Based on theoretical study, information platform of Industrial Cluster Social Responsibility Index facing multi-stakeholder was designed and constructed, which is used in the empirical study of Northeastern automobile industries in order to testify and correct the theoretical study. Content of this project follows the route of theory guiding practice and practice guiding theory reversely. Anticipated achievement can extend the content of industrial economics from new view and enrich the application indexes in the field of economic management, which can render the effective theoretical support of industrial cluster social responsibilities monitoring and governance in the Information Era.

“产业集群社会责任”是在企业和供应链社会责任基础上涌现出的新经济现象，美国匹兹堡制造业集群和苏州工业园区的社会责任建设应运而生并初见端倪。为此，本项目尝试性提出“产业集群社会责任”这一新构念，对其建设机理展开系统研究。为支撑“以评促建”的目的，项目在机理分析的基础上探讨指标体系的构建问题，提出并研究面向多源条件的“聚合指数”方法，进而设计面向多需求主题的产业集群社会责任指数，即根据不同的需求开发差异化的测度指数，使得评价结论对于决策方需求的支撑程度得以大幅提升。在理论研究的基础上，设计面向多利益主体的产业集群社会责任指数信息平台，并应用于东北地区汽车产业集群社会责任绩效的跟踪测度中，旨在对前期的理论成果进行检验与完善。项目研究内容及论证模式遵循理论到实践，再由实践到理论的双向修正与提升，预期研究成果将从新视角丰富产业经济领域的知识体系，为信息时代产业集群社会责任监控治理提供有效的理论支撑。

项目基于“产业集群社会责任”这一新构念，分别从建设机理、指标体系、随机聚合测度及实践问题的指数化测度等方面展开具体研究。提出了包括本质内涵“创新能力”“市场竞争力”“产业基础支撑力”和时代内涵“安全化”“数字化”“生态化”的“三力三化”内涵体系。从“结构性”发展视角出发，在评价指标体系的构建中引入多维度因素，提出了全流程多维系统指标体系构建的方法。面向多需求主题，融合多类型、多来源信息，发展出了多信息随机聚合指数，并将其运用至共享经济及工业互联等背景下产业集群的可持续及协同发展指数化测度中。基于上述研究内容，发表学术论文16篇，其中SCI、SSCI检索论文13篇，CSSCI检索的中文论文3篇。此外，在经济管理出版社出版学术专著《东北振兴指标体系及动态评价报告》1部（第2作者）。上述研究成果在理论方面进一步丰富了指数测度的方法体系，提出的“聚合指数”是对现有信息融合及测度指数理论体系的完善与发展，能够更好地适应多源信息共存的测度环境；基于理论方法的应用研究成果可为共享经济、工业互联背景下不同产业集群的可持续发展测度提供数据支撑及政策参考，为东北地区的全面振兴贡献力量。