Journal of Productivity Analysis

Aims & Scope

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.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.8
2024	2.30

Journal Rank

Year	Value
2024	9288

Journal Citation Indicator

Year	Value
2024	201

SJR (SCImago Journal Rank)

Year	Value
2024	0.623

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	94

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting, Economics, Econometrics and Finance and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India

  Citation: 1714

  Authors: G. E., T. J.

• A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies

  Citation: 975

  Authors: George E., D. S. Prasada, Christopher J.

• A global Malmquist-Luenberger productivity index

  Citation: 883

  Authors: Dong-hyun

• Productivity changes in Swedish pharamacies 1980?1989: A non-parametric Malmquist approach

  Citation: 793

  Authors: R., S., B., P.

• Fixed and Random Effects in Stochastic Frontier Models

  Citation: 780

  Authors: Willam

• One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels

  Citation: 695

  Authors: Hung-jen, Peter

• Environmental regulation and productivity: testing the porter hypothesis

  Citation: 671

  Authors: Paul, Michel, Richard

• Statistical Inference in Nonparametric Frontier Models: The State of the Art

  Citation: 668

  Authors: Léopold, Paul W.

• Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis

  Citation: 628

  Authors: H. O., C. A. K., S. S., S.

• RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA

  Citation: 575

  Authors: William W., Kyung Sam, Jesus T.

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