---
title: "Journal of Productivity Analysis: 3 papers, last 30 days"
description: "Journal of Productivity Analysis published 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #160 of 239 journals."
url: https://scholar4ai.com/journals/journal-of-productivity-analysis
markdown_url: https://scholar4ai.com/journals/journal-of-productivity-analysis.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Journal of Productivity Analysis published 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #160 of 239 journals."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:52:47+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Journal of Productivity Analysis

- 0 papers in the last 7 days
- category: Economics
- publisher: Springer Science+Business Media
- ISSN 0895-562X

Back to the ranking: https://scholar4ai.com/rankings/journals.md

## Key findings

- Journal of Productivity Analysis published 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #160 of 239 journals.
- Leading institutions: UNSW Sydney (1), University of British Columbia (1) and Khatam University (1).
- Countries: Australia (1), Canada (1) and United Kingdom (1).
- From Oct 2023 to Sep 2026, Journal of Productivity Analysis published 126 papers (4 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “technical efficiency” (19), “stochastic frontier analysis” (13) and “data envelopment analysis” (11).
- Its most-cited paper of the period is “Can digital transformation enhance total factor productivity? Evidence from chinese listed manufacturing firms” (2025-04-01), with 33 citations.

## The last 36 months

*Papers by publication date, Oct 2023 to Sep 2026*

| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---:|---:|---:|---:|
| 35 | 44 | 47 | 126 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | technical efficiency | 19 |
| 2 | stochastic frontier analysis | 13 |
| 3 | data envelopment analysis | 11 |
| 4 | efficiency measurement | 10 |
| 5 | technological change | 10 |
| 6 | total factor productivity | 10 |
| 7 | productivity measurement | 9 |
| 8 | allocative efficiency | 8 |
| 9 | productivity analysis | 8 |
| 10 | panel data | 6 |

*Most-cited papers published Oct 2023 to Sep 2026*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 33 | 1.8 | [Can digital transformation enhance total factor productivity? Evidence from chinese listed manufacturing firms](https://doi.org/10.1007/s11123-025-00759-1) | [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | 2025-04-01 | Jie Yan Wu, Xiaoyu Wang, Jacob Wood |
| 2 | 8 | 0.5 | [The generalized panel data stochastic frontier model: A review and nonparametric estimation](https://doi.org/10.1007/s11123-025-00769-z) | [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | 2025-07-30 | Christopher F. Parmeter, Subal C. Kumbhakar |
| 3 | 7 | 0.4 | [Beyond borders: how spillovers and commercial networks shape European productivity](https://doi.org/10.1007/s11123-025-00753-7) | [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | 2025-02-28 | André Carrascal Incera, Weilin Liu, Luis Orea et al. |
| 4 | 6 | 0.4 | [Does cluster farming improve efficiency? A case of wheat farmers in Arsi Zone of Oromia Region, Ethiopia](https://doi.org/10.1007/s11123-025-00766-2) | [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | 2025-07-08 | Zenaye Degefu Agazhi, Melkamu Mada, Mebratu Alemu |
| 5 | 5 | 0.2 | [General network production theory for good and bad inputs and outputs](https://doi.org/10.1007/s11123-025-00754-6) | [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | 2025-02-21 | Harald Dyckhoff |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-17 | [On the theory and practice of proper indexes](https://doi.org/10.1007/s11123-026-00829-y) | [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | W. Erwin Diewert | University of British Columbia; UNSW Sydney |
| 2026-10-05 | [Network data envelopment analysis in the insurance industry: a literature review](https://doi.org/10.1007/s11123-026-00831-4) | [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | Pejman Peykani, Ali Emrouznejad, Zahra Abbasi | Khatam University; University of Surrey; University of Qom |
| 2026-09-28 | [How should a productivity index be constructed?](https://doi.org/10.1007/s11123-026-00832-3) | [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | Christopher F. Parmeter | University of Miami |

## Cite this page

Scholar4AI. (2026). Journal of Productivity Analysis. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/journals/journal-of-productivity-analysis

```bibtex
@misc{scholar4ai-journals-journal-of-productivity-analysis,
  author = {{Scholar4AI}},
  title = {Journal of Productivity Analysis},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/journal-of-productivity-analysis}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).