| 期刊ISSN: | 0895-562X | ||
|---|---|---|---|
| E-ISSN: | 1573-0441 | 期刊分类: | |
| 影响因子: | 2.3 | 检索数据库: | |
| 自引率: | 17.4% | 出版语言: | 英文 |
| 出版信息 | |
|---|---|
| 出版社 | Springer Nature |
| 期刊官网 | https://www.springer.com/11123 |
| 涉及的研究方向 | 经济学、企业管理 |
| 年文章数 | 0 |
| 是否OA | 否 |
| APC费用 | |
| SCI期刊收录coverage | |
| 期刊简介 |
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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.
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| 最新中科院SCI期刊分区 (基础版) |
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| 最新中科院SCI期刊分区 (升级版) |
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| Cite Score | Cite Score | SJR | SNIP | 排名 |
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