{"title":"Configuration Analysis of Resource Allocation Efficiency Based on DEA and fsQCA: Evidence From China's Defense Science and Technology","authors":"Zilong Wang, Bingyang Zhou, Hechang Cai, Zhiwen Zhang","doi":"10.1002/pa.70119","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This study evaluates the resource allocation efficiency of national defense enterprises and identifies key factors for improvement. An improved two-stage data envelopment analysis (DEA) model was used to assess the efficiency of 58 listed national defense enterprises from 2014 to 2020, while fuzzy-set qualitative comparative analysis (fsQCA) was employed to explore the pathways that enhance efficiency. The findings reveal that resource allocation efficiency in the R&D stage is low, with technological R&D being crucial for improving overall efficiency, whereas industrialization efficiency often constrains it. Both overall and industrialization efficiencies followed a pattern of initial growth followed by decline. Key determinants of efficiency include economic development, infrastructure, industrial policy, and enterprise structure. The combination of DEA and fsQCA provides a comprehensive framework for understanding efficiency levels and the complex pathways that drive them.</p>\n </div>","PeriodicalId":47153,"journal":{"name":"Journal of Public Affairs","volume":"26 2","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Public Affairs","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/pa.70119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
引用次数: 0
Abstract
This study evaluates the resource allocation efficiency of national defense enterprises and identifies key factors for improvement. An improved two-stage data envelopment analysis (DEA) model was used to assess the efficiency of 58 listed national defense enterprises from 2014 to 2020, while fuzzy-set qualitative comparative analysis (fsQCA) was employed to explore the pathways that enhance efficiency. The findings reveal that resource allocation efficiency in the R&D stage is low, with technological R&D being crucial for improving overall efficiency, whereas industrialization efficiency often constrains it. Both overall and industrialization efficiencies followed a pattern of initial growth followed by decline. Key determinants of efficiency include economic development, infrastructure, industrial policy, and enterprise structure. The combination of DEA and fsQCA provides a comprehensive framework for understanding efficiency levels and the complex pathways that drive them.
期刊介绍:
The Journal of Public Affairs provides an international forum for refereed papers, case studies and reviews on the latest developments, practice and thinking in government relations, public affairs, and political marketing. The Journal is guided by the twin objectives of publishing submissions of the utmost relevance to the day-to-day practice of communication specialists, and promoting the highest standards of intellectual rigour.