利用间接生产理论对分配效率进行非参数估计：挪威集装箱港口的应用

IF 2.3 4区经济学 Q3 BUSINESS

Journal of Productivity Analysis Pub Date : 2024-01-25 DOI:10.1007/s11123-024-00719-1

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引用次数: 0

摘要

摘要对价格的适应是生产力发展的一个重要特征。本文提出对 StoNED 模型进行扩展，以适应分配效率的估算。它证明了间接生产理论如何适用于评估分配效率，并有助于缓解随机非参数估计器与传统分配效率测量方法相比存在的维度诅咒。此外，本文还阐述了估算分配效率的适当资本成本。本文利用提出的模型框架研究了挪威集装箱港口的分配效率，从而丰富了有关海港码头效率研究的文献。

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Nonparametric estimation of allocative efficiency using indirect production theory: Application to container ports in Norway

Abstract

Adaption to prices is an important feature of productivity development. This paper proposes an extension of the StoNED model to accommodate estimation of allocative efficiency. It demonstrates how indirect production theory is suited for assessing allocative efficiency and helps alleviating the curse of dimensionality for stochastic nonparametric estimators compared to conventional measures of allocative efficiency. Furthermore, the paper elaborates on the appropriate cost of capital for the estimation of allocative efficiency. The proposed model framework is utilized to study allocative efficiency of Norwegian container ports, thereby adding to the literature on seaport terminal efficiency studies.

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来源期刊

Journal of Productivity Analysis Multiple-

CiteScore

3.10

自引率

6.20%

发文量

期刊介绍： The Journal of Productivity Analysis publishes theoretical and applied research that addresses issues involving the measurement, explanation, and improvement of productivity. The broad scope of the journal encompasses productivity-related developments spanning the disciplines of economics, the management sciences, operations research, and business and public administration. Topics covered in the journal include, but are not limited to, productivity theory, organizational design, index number theory, and related foundations of productivity analysis. The journal also publishes research on computational methods that are employed in productivity analysis, including econometric and mathematical programming techniques, and empirical research based on data at all levels of aggregation, ranging from aggregate macroeconomic data to disaggregate microeconomic data. The empirical research illustrates the application of theory and techniques to the measurement of productivity, and develops implications for the design of managerial strategies and public policy to enhance productivity. Officially cited as: J Prod Anal