{"title":"通过个体规模收益描述生产集的特征:非参数规范及美国工业示例","authors":"Jean-Philippe Boussemart , Walter Briec , Raluca Parvulescu , Paola Ravelojaona","doi":"10.1016/j.ijpe.2024.109433","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes to estimate the returns-to-scale of production sets by considering the individual return of each observation, considered as a decision-making unit through the notion of <span><math><mi>Λ</mi></math></span>-returns to scale assumption. Along this line, the global technology is then constructed as the intersection of all the individual technologies. Hence, an axiomatic foundation is proposed to present the notion of <span><math><mi>Λ</mi></math></span>-returns to scale. This new characterization of the returns-to-scale encompasses the definition of <span><math><mi>α</mi></math></span>-returns to scale, as a special case as well as the standard non-increasing and non-decreasing returns-to-scale models. A non-parametric procedure based on the goodness of fit approach is proposed to assess these individual returns-to-scale. To illustrate this notion of <span><math><mi>Λ</mi></math></span>-returns to scale assumption, an empirical illustration is provided based on a dataset involving 63 industries constituting the whole American economy over the period 1987-2018.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109433"},"PeriodicalIF":9.8000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterization of production sets through individual returns-to-scale: A non parametric specification and an illustration with the U.S industries\",\"authors\":\"Jean-Philippe Boussemart , Walter Briec , Raluca Parvulescu , Paola Ravelojaona\",\"doi\":\"10.1016/j.ijpe.2024.109433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper proposes to estimate the returns-to-scale of production sets by considering the individual return of each observation, considered as a decision-making unit through the notion of <span><math><mi>Λ</mi></math></span>-returns to scale assumption. Along this line, the global technology is then constructed as the intersection of all the individual technologies. Hence, an axiomatic foundation is proposed to present the notion of <span><math><mi>Λ</mi></math></span>-returns to scale. This new characterization of the returns-to-scale encompasses the definition of <span><math><mi>α</mi></math></span>-returns to scale, as a special case as well as the standard non-increasing and non-decreasing returns-to-scale models. A non-parametric procedure based on the goodness of fit approach is proposed to assess these individual returns-to-scale. To illustrate this notion of <span><math><mi>Λ</mi></math></span>-returns to scale assumption, an empirical illustration is provided based on a dataset involving 63 industries constituting the whole American economy over the period 1987-2018.</div></div>\",\"PeriodicalId\":14287,\"journal\":{\"name\":\"International Journal of Production Economics\",\"volume\":\"278 \",\"pages\":\"Article 109433\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Production Economics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0925527324002901\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Production Economics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0925527324002901","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Characterization of production sets through individual returns-to-scale: A non parametric specification and an illustration with the U.S industries
This paper proposes to estimate the returns-to-scale of production sets by considering the individual return of each observation, considered as a decision-making unit through the notion of -returns to scale assumption. Along this line, the global technology is then constructed as the intersection of all the individual technologies. Hence, an axiomatic foundation is proposed to present the notion of -returns to scale. This new characterization of the returns-to-scale encompasses the definition of -returns to scale, as a special case as well as the standard non-increasing and non-decreasing returns-to-scale models. A non-parametric procedure based on the goodness of fit approach is proposed to assess these individual returns-to-scale. To illustrate this notion of -returns to scale assumption, an empirical illustration is provided based on a dataset involving 63 industries constituting the whole American economy over the period 1987-2018.
期刊介绍:
The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.