In collaboration with Payame Noor University and Iranian Association for Energy Economics (IRAEE)
| Number of Volumes | 16 |
| Number of Issues | 67 |
| Number of Articles | 504 |
| Number of Contributors | 1,112 |
| Article View | 1,578,371 |
| PDF Download | 1,097,017 |
| View Per Article | 3131.69 |
| PDF Download Per Article | 2176.62 |
| Number of Submissions | 5,790 |
| Accepted Submissions | 441 |
| Acceptance Rate | 8 |
| Time to Accept (Days) | 183 |
| Number of Indexing Databases | 12 |
| Number of Reviewers | 572 |
Economic Growth and Development Research (EGDR) is an open access and peer-reviewed quarterly journal dedicated to the advancement of Economic Growth and Development research Papers are subject to a double-blind peer review process to ensure the quality of their underlying research methodology and argument.
The submitted papers will be published after review as well as the approval of the editorial board. The journal was established by Payame Noor University. The honorable professors and researchers are highly appreciated if they visit this site, register, submit and set up their papers based on authors guidelines. Therefore, visiting in person or calling the journal office are not recommended, so all connections with authors and reviewers are done through the website. The journal provides article download statistics.
Open Access Statement:
This journal is a fully access journal which means that all articles are available on the internet to all users immediately upon publication Non-commercial use and distribution in any medium is permitted, provided the author and the journal are properly credited.
Benefits of open access for authors, include:
Articles’ review and publishing charge:
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Publisher:
Payame Noor University
Director-in-Charge:
Hadi Ghaffari (Ph.D.)
Editor-in-Chief:
Mohammad Reza Lotfalipur (Ph.D.)
Managing Editor:
Ali Younessi (Ph.D.)
International Editorial Board:
Behnaz Saboori
Executive Director:
Aghaeei
Frequency: Quarterly
Print ISSN: 2228-5954
Online ISSN: 2251-6891
This journal uses Hamyab similarity system to investigate plagiarism of articles.
This work is licensed under a Creative Commons Attribution License 4.0 International (CC-BY 4.0).
