Browse data: Studies
From Copyright EVIDENCE
Choose a category:
- Studies (909)
Studies > Data Type:
Primary and Secondary data 
& Data collection method :
Quantitative Collection Methods or
Survey Research (quantitative; e.g. sales/income reporting)
& Evidence Based Policies :
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) or
F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)
& Data collection method :
Quantitative Collection Methods or
Survey Research (quantitative; e.g. sales/income reporting)
& Evidence Based Policies :
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) or
F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness) Click on one or more items below to narrow your results.
Author:
Year:
Related to:
Discipline:
Data Type: (Click arrow to add another value)
Secondary Data Source:
Data collection method: (Click arrow to add another value)
Data analysis method:
Cluster analysis (3) ·
Correlation and Association (12) ·
Descriptive statistics (counting; means reporting; cross-tabulation) (30) ·
Discourse Analysis (2) ·
Ethnographic/narrative analysis (1) ·
Factor Analysis (1) ·
Legal Analysis (5) ·
Meta-Analysis (1) ·
Multivariate Statistics (7) ·
Qualitative Analysis Methods (29) ·
Qualitative Coding / Sorting (e.g. of interview data) (5) ·
Quantitative Analysis Methods (44) ·
Quantitative content analysis (e.g. text or data mining) (9) ·
Regression Analysis (13) ·
Structural Equation Modeling (4) ·
Textual Content Analysis (7) ·
Visual / Other Content Analysis (2)
Country:
Time period of data collection:
Funder:
AHRC Creative Industries Policy and Evidence Centre (grant: AH/S001298/1) (1) ·
ARC via projects LP160100387, FT170100011 and DE170100037 (1) ·
Alfred P. Sloan Foundation (1) ·
Australia Council for the Arts (1) ·
Authors’ Licensing & Collecting Society (ALCS) (1) ·
Centel Foundation/Robert P. Reuss Faculty Research Fund (1) ·
Centre National de la Recherche Scientifique (CNRS) (1) ·
Centre for Copyright and New Business Model in the Creative Economy (CREATe) (1) ·
European Commission (2) ·
German Institute for Economic Research (1) ·
Google (1) ·
Google Inc. (1) ·
HM Government (1) ·
IGCC and UCSC Committee on Research (1) ·
IPO (3) ·
Intellectual Property Office (5) ·
John D. Evans Foundation (1) ·
Monash University (1) ·
NBC Universal (1) ·
National Science Council, Taiwan (1) ·
National Science Foundation (1) ·
None (2) ·
Not Stated (2) ·
Not stated (2) ·
OHIM (1) ·
Organisation for Economic Cooperation and Development (1) ·
Portuguese Foundation of Science and Technology (1) ·
RCUK (1) ·
Sloan Foundation (1) ·
The Spanish Association of Publishers of Periodical Publications (Asociación Española de Editoriales de Publicaciones Periódicas) (1) ·
UGSC Division of Social Sciences (1) ·
UK Music (1) ·
University of East Anglia (1) ·
Wikipedia Free Knowledge Advocacy Group (1) ·
the Sloan Foundation (1) ·
∗Support for this research by NBER’s Economics of Digitization and Copyright Initiative is gratefully acknowledged. (1)
Fundamental Issues:
1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare (30) ·
2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? (12) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (1) ·
4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (23) ·
5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (45)
Evidence Based Policies: (Click arrow to add another value)
Data sample size:
Data unit of assessment:
Data material year:
Data industry:
Advertising (1) ·
Architectural (1) ·
Computer consultancy (1) ·
Computer programming (2) ·
Creative, arts and entertainment (17) ·
Cultural education (5) ·
Film and motion pictures (25) ·
Libraries, archives, museums and other cultural activities (2) ·
Photographic activities (5) ·
Programming and broadcasting (5) ·
Publishing of books, periodicals and other publishing (22) ·
Software publishing (22) ·
Sound recording and music publishing (33) ·
Specialised design (3) ·
Television programmes (14) ·
Video game publishing (1)
Showing below up to 67 results in range #1 to #67.
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A
B
- Bahanovich and Collopy (2009)
- Batikas, Claussen and Peukert (2019)
- Bellégo and Nijs (2020)
- Brassell and Goodyer (2015)
- Buss and Peukert (2015)
C
- Collopy, Bastian, Drye, Koempel, Lewis, Jenner (2014)
- Commission of the European Communities (2005a)
- Condry (2004)
D
- Danaher and Waldfogel (2012)
- Dang Nguyen, Dejean and Moreau (2012)
- DiCola and Touve (2014)
- Djekic and Loebbecke (2005)
E
- Envisional (2011)
- Erickson and Kretschmer (2018)
- Erickson, Rodriguez Perez and Rodriguez Perez (2018)
F
G
- Giorcelli and Moser (2015)
- Goel, Miesing and Chandra (2010)
- Goolsbee and Petrin (2004)
- Gopal, Bhattacharjee and Sanders (2006)
H
H cont.
I
- IP Crime Annual Report (2013-2014)
- IP Crime Annual Report (2015-2016)
- IP Crime Annual Report (2016-2017)
- Intellectual Property Office (2015a)
- Intellectual Property Office (2019)
J
K
L
- Leung, Kretschmer and Meletti (2020)
- Liebowitz (2005)
- Liebowitz and Margolis (2005)
- Liebowitz and Watt (2006)
M
N
O
P
Q
R
S
- Sandulli (2007)
- Sandulli and Martin-Barbero (2007)
- Secker, Gadd and Morrison (2019)
- Seng (2015)
- Shmatkov (2020)
- Somaya and Grahan (2006)
T
U
W
