Economics of Innovation and New Technology is devoted to the theoretical and empirical analysis of the determinants and effects of innovation, new technology and technological knowledge. The journal aims to provide a bridge between different strands of literature and different contributions of economic theory and empirical economics. This bridge is built in two ways. First, by encouraging empirical research (including case studies, econometric work and historical research), evaluating existing economic theory, and suggesting appropriate directions for future effort in theoretical work. Second, by exploring ways of applying and testing existing areas of theory to the economics of innovation and new technology, and ways of using theoretical insights to inform data collection and other empirical research.
The journal welcomes contributions across a wide range of issues concerned with innovation, including: the generation of new technological knowledge, innovation in product markets, process innovation, patenting, adoption, diffusion, innovation and technology policy, international competitiveness, standardization and network externalities, innovation and growth, technology transfer, innovation and market structure, innovation and the environment, and across a broad range of economic activity not just in ‘high technology’ areas. The journal is open to a variety of methodological approaches ranging from case studies to econometric exercises with sound theoretical modelling, empirical evidence both longitudinal and cross-sectional about technologies, regions, firms, industries and countries.
Peer Review Policy: All research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymized refereeing by at least two anonymous referees. All papers are subject to a preliminary screening to assess whether they deserve to be submitted to a fullly-fledged refereeing process.
Journal metrics
Usage
119K annual downloads/views
Citation metrics
3.2 (2023) Impact Factor
Q1 Impact Factor Best Quartile
3.2 (2023) 5 year IF
7.2 (2023) CiteScore (Scopus)
Q1 CiteScore Best Quartile
1.450 (2023) SNIP
0.998 (2023) SJR
Speed/acceptance
26 days avg. from submission to first
decision
39 days avg. from submission to first
post-review decision
11 days avg. from acceptance to online
publication
7% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors
who are deciding where to submit their next manuscript for publication.
However, any one metric only tells a part of the story of a journal’s
quality and impact. Each metric has its limitations which means that it
should never be considered in isolation, and metrics should be used to
support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside
other qualitative factors such as a journal’s aims & scope, its
readership, and a review of past content published in the journal. In
addition, a single article should always be assessed on its own merits and
never based on the metrics of the journal it was published in.
Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
months, based on the prior six months. Citation metrics are updated
annually mid-year. Please note that some journals do not display all of
the following metrics
(find out why).
Usage:
the total number of times articles in the journal were viewed by users
of Taylor & Francis Online in the previous calendar year, rounded to the
nearest thousand.
Citation Metrics
Impact Factor*:
the average number of citations received by articles published in the
journal within a two-year window. Only journals in the Clarivate Science
Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI),
Arts and Humanities Citation Index (AHCI) and the Emerging Sources
Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile*:
the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
CiteScore Best Quartile†:
the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
(Source Normalized Impact per Paper):
the number of citations per paper in the journal, divided by citation
potential in the field.
SJR
(Scimago Journal Rank):
Average number of (weighted) citations in one year, divided by the
number of articles published in the journal in the previous three years.
Speed/acceptance
From submission to first decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision. Based on manuscripts receiving a
first decision in the last six months.
From submission to first post-review decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision if it is sent out for peer review.
Based on manuscripts receiving a post-review first decision in the last
six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
Cristiano Antonelli - Dipartimento Di Economia E Statistica Cognett De Martiis, Campus Luigi Einaudi, Lungo Dora 100A, 10157 Torino, Italy
All correspondence should be addressed to [email protected] [All papers should be submitted to Professor Antonelli]
Co-Editors:
✝ Paul A. David - Stanford University and Stanford Institute for Econiomic Policy Research (SIEPR);All Souls College, Oxford, UK Paul Stoneman - Warwick Business School, Warwick University, UK
Associate Editors:
Dominique Foray - Ecole Polytechnique de Lausanne, Switzerland Bronwyn Hall - University of California, US Pierre Mohnen - Maastricht University, Netherlands Edward Steinmueller - SPRU and MERIT, UK Marco Vivarelli - Università Cattolica del Sacro Cuore, Italy
Editorial Board:
Stanley M. Besen - Vice President, Charles River Associates, USA Bo Carlsson - Case Western Reserve University, USA Robin Cowan - MERIT, University of Maastricht, The Netherlands Gunnar Eliasson - The Royal Institute of Technology, Sweden Jacques Mairesse - CREST, France Stan Metcalfe - University of Manchester, UK David Mowery - University of California, USA Hiroyuki Odagiri - Hitotsubashi University, Japan Morris Teubal - The Hebrew University of Jerusalem, Israel Manuel Trajtenberg - Tel-Aviv University, Israel
Abstracting and indexing
Economics of Innovation and New Technology is currently abstracted and indexed in Econlit, OCLC FirstSearch Electronic Collections Online, EBSCO (Business Source Corporate, Business Source Elite, Business Source Premier, Computer Source), IBSS and SCOPUS.
Open access
Economics of Innovation and New Technology is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
Increase the discoverability and readership of your article
Make an impact and reach new readers, not just those with easy access to a research library
Freely share your work with anyone, anywhere
Comply with funding mandates and meet the requirements of your institution, employer or funder
Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
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