Browse data: Studies
From Copyright EVIDENCE
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- Studies (909)
Studies > Data collection method:
Quantitative data/text mining 
& Evidence Based Policies:
F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)
& Evidence Based Policies:
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.
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Year:
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Secondary Data Source:
Data collection method: (Click arrow to add another value)
Data analysis method:
Cluster analysis (3) ·
Confirmatory Factor Analysis (CFA) (1) ·
Correlation and Association (19) ·
Descriptive statistics (counting; means reporting; cross-tabulation) (29) ·
Discourse Analysis (5) ·
Grounded Theory (1) ·
Legal Analysis (10) ·
Meta-Analysis (1) ·
Multivariate Statistics (3) ·
Qualitative Analysis Methods (18) ·
Qualitative Coding / Sorting (e.g. of interview data) (4) ·
Quantitative Analysis Methods (40) ·
Quantitative content analysis (e.g. text or data mining) (34) ·
Regression Analysis (22) ·
Social Network Analysis (1) ·
Structural Equation Modeling (6) ·
Textual Content Analysis (13) ·
Visual / Other Content Analysis (3)
Country:
Time period of data collection:
Funder:
Alfred P. Sloan Foundation (1) ·
Amedeo Piolatto acknowledges financial support from IVIE, the Spanish Ministry of Science and Innovation (Grant ECO2009-12680), the Barcelona GS Research Network and the Generalitat de Catalunya (Grant 2009 SGR 102). (1) ·
Bruce Miller (1) ·
CREATe (1) ·
CREATe, AHRC Grant Number AH/K000179/1 (1) ·
Center for the Analysis of Property Rights and Innovation (CAPRI) (1) ·
Centre National de la Recherche Scientifique (CNRS) (1) ·
European Commission (1) ·
George F. Baker Foundation (1) ·
Hellen Posner (1) ·
Henry Posner jr. (1) ·
I-CORE Program of the Planning and Budgeting Committee (1) ·
Intellectual Property Office (1) ·
Israeli Internet Association (1) ·
Kenan Faculty Fund (1) ·
Million Book Project (1) ·
National Science Foundation (1) ·
National University of Singapore through the Singapore Ministry of Education Academic Research Fund Tier 1 (1) ·
None (4) ·
Not stated (2) ·
Office of the United States Trade Representative (1) ·
Portuguese Foundation of Science and Technology (1) ·
Portuguese Science and Technology Foundation (1) ·
Research Councils UK (1) ·
Research Innovation Grant (1) ·
The National Academies of the Sciences (1) ·
The Office for Harmonization in the Internal market (1) ·
The authors acknowledge the George Mason University’s Center for the Protection of Intellectual Property and its Leonardo da Vinci Research (1) ·
The second author has benefited from the visit to the Institute of Innovation Research of Hitotsubashi University, whose generous provision of research opportunity is gratefully acknowledged (1) ·
This research was funded in part by a PSCCUNY grant #67792-00-36 and a Doctoral Student Research Grant from the CUNY Graduate Center. (1) ·
This research was part of the multicountry research project 'Towards a Detente in Media Piracy' undertaken by the Association for Progressive Communications (ACP) and supported bu the Social Science Research Council (SSRC), New York (1) ·
WIPO (2) ·
World Intellectual Property Organization (1) ·
de Thuiskopie (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 (38) ·
2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? (14) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (4) ·
4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (35) ·
5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (50)
Evidence Based Policies: (Click arrow to add another value)
Data sample size:
Data unit of assessment:
Data material year:
Data industry:
Advertising (3) ·
Architectural (1) ·
Creative, arts and entertainment (15) ·
Cultural education (1) ·
Film and motion pictures (25) ·
Libraries, archives, museums and other cultural activities (2) ·
Photographic activities (2) ·
Programming and broadcasting (4) ·
Publishing of books, periodicals and other publishing (14) ·
Software publishing (27) ·
Sound recording and music publishing (36) ·
Specialised design (2) ·
Television programmes (15) ·
Translation and interpretation (1) ·
Video game publishing (1)
Showing below up to 72 results in range #1 to #72.
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A
- Ahn and Yooney (2008)
- Al-Rafee and Cronan (2006)
- Altschuller and Benbunan-Fich (2009)
- Andrés (2006b)
- Asongu (2014)
B
- Bae and Choi (2006)
- Band (2013b)
- Bar-Ziv and Elkin-Koren (2018)
- Batikas, Claussen and Peukert (2019)
- Bechtold (2013)
- Beebe (2008)
- Belleflamme (2002)
- Belleflamme and Peitz (2014)
- Bellégo and Nijs (2020)
- Bezmen and Depken (2006)
- Bradley, Kolev (2023)
- Buccafusco and Masur (2013)
C
D
D cont.
E
F
H
I
J
K
L
M
M cont.
O
- OHIM (2016)
- Oberholzer-Gee and Strumpf (2007)
- Office of the United States Trade Representative (2015)
P
S
T
W
Y
Z
