{"title":"Global nonparametric diversified frontier-based efficiency measures and Luenberger productivity indices of ESG funds","authors":"Tiantian Ren , Helu Xiao , Zhongbao Zhou","doi":"10.1016/j.omega.2025.103354","DOIUrl":null,"url":null,"abstract":"<div><div>This paper combines both financial and non-financial indicators of ESG funds to construct diversified frontier-based contemporaneous and nonconvex global portfolio possibility sets, and proposes contemporaneous and nonconvex global efficiency measures for ESG funds. On these bases, the nonconvex global Luenberger productivity indices (GLPIs) are developed correspondingly. We further present an additive decomposition and analyze the full decomposition of the ESG fund efficiency measures and GLPIs. This framework allows to distinguish between overall efficiency (OE), portfolio efficiency (PE), and allocative efficiency (AE) of ESG funds as well as OE-, PE- and AE-based GLPIs within both contemporaneous and global technology settings. Utilizing the unbalanced panel data of China’s ESG funds during 2018–2023, we examine the dynamic evolution of ESG fund efficiencies and GLPIs as well as their decompositions, and explore the impact of non-financial indicators on these measures.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"138 ","pages":"Article 103354"},"PeriodicalIF":6.7000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Omega-international Journal of Management Science","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0305048325000805","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
This paper combines both financial and non-financial indicators of ESG funds to construct diversified frontier-based contemporaneous and nonconvex global portfolio possibility sets, and proposes contemporaneous and nonconvex global efficiency measures for ESG funds. On these bases, the nonconvex global Luenberger productivity indices (GLPIs) are developed correspondingly. We further present an additive decomposition and analyze the full decomposition of the ESG fund efficiency measures and GLPIs. This framework allows to distinguish between overall efficiency (OE), portfolio efficiency (PE), and allocative efficiency (AE) of ESG funds as well as OE-, PE- and AE-based GLPIs within both contemporaneous and global technology settings. Utilizing the unbalanced panel data of China’s ESG funds during 2018–2023, we examine the dynamic evolution of ESG fund efficiencies and GLPIs as well as their decompositions, and explore the impact of non-financial indicators on these measures.
期刊介绍:
Omega reports on developments in management, including the latest research results and applications. Original contributions and review articles describe the state of the art in specific fields or functions of management, while there are shorter critical assessments of particular management techniques. Other features of the journal are the "Memoranda" section for short communications and "Feedback", a correspondence column. Omega is both stimulating reading and an important source for practising managers, specialists in management services, operational research workers and management scientists, management consultants, academics, students and research personnel throughout the world. The material published is of high quality and relevance, written in a manner which makes it accessible to all of this wide-ranging readership. Preference will be given to papers with implications to the practice of management. Submissions of purely theoretical papers are discouraged. The review of material for publication in the journal reflects this aim.