Difference between revisions of "Leung (2012)"

From Copyright EVIDENCE
m (1 revision imported)
 
Line 1: Line 1:
 
{{MainSource
 
{{MainSource
|Dataset={{Dataset
 
|Sample Size=884
 
|Level of Aggregation=University students,
 
|Data Material Year=2007-2008
 
}}
 
 
|Source={{Source
 
|Source={{Source
|Name of Study=Leung (2012)
+
|Name of Study=Leung (2013)
 
|Author=Leung, T. C.
 
|Author=Leung, T. C.
 
|Title=Music Piracy: Bad for Record Sales but Good for the iPod?
 
|Title=Music Piracy: Bad for Record Sales but Good for the iPod?
|Year=2012
+
|Year=2013
|Full Citation=Leung, T. C. (2013). Music Piracy: Bad for Record Sales but Good for the iPod?. Available at SSRN 2244111.
+
|Full Citation=Leung, T. C. (2015). Music piracy: Bad for record sales but good for the iPod?. Information Economics and Policy, 31, 1-12.
 
|Abstract=Music piracy is a double-edged sword for the music industry. On the one hand, it hurts record sales. On the other hand, it increases sales of its complements. To quantify the effect of music piracy, I construct a unique survey data set and use a Bayesian method to estimate the demand for music and iPods, and find three things. First, music piracy decreases music sales by 24% to 42%. Second, music piracy contributes 12% to iPod sales. Finally, counterfactual experiments show that, if music were free, the increase in Apple's profits from iPod can more than compensate the loss of musicians.
 
|Abstract=Music piracy is a double-edged sword for the music industry. On the one hand, it hurts record sales. On the other hand, it increases sales of its complements. To quantify the effect of music piracy, I construct a unique survey data set and use a Bayesian method to estimate the demand for music and iPods, and find three things. First, music piracy decreases music sales by 24% to 42%. Second, music piracy contributes 12% to iPod sales. Finally, counterfactual experiments show that, if music were free, the increase in Apple's profits from iPod can more than compensate the loss of musicians.
 
|Authentic Link=http://mpra.ub.uni-muenchen.de/45772/1/MPRA_paper_45772.pdf
 
|Authentic Link=http://mpra.ub.uni-muenchen.de/45772/1/MPRA_paper_45772.pdf
Line 20: Line 15:
 
|FundamentalIssue=5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media),
 
|FundamentalIssue=5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media),
 
|EvidenceBasedPolicy=F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness),
 
|EvidenceBasedPolicy=F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness),
|Discipline=D12: Consumer Economics: Empirical Analysis, L82: Entertainment • Media
+
|Discipline=D12: Consumer Economics: Empirical Analysis, K42: Illegal Behavior and the Enforcement of Law, L82: Entertainment • Media, O34: Intellectual Property and Intellectual Capital
 
|Intervention-Response=The music industry could financially benefit from exploiting music complements to compensate for the income lost from direct music sales in a free music regime.
 
|Intervention-Response=The music industry could financially benefit from exploiting music complements to compensate for the income lost from direct music sales in a free music regime.
 
|Description of Data=Survey data from 884 university students, mean age 18.94, who spent an average of three to four hours a day on the internet, with 90% earning less than $200 a week.  Students had an average of 2,508 songs on their computers.  28% had bought a CD, 32% had purchased a song from iTunes, and 54% had downloaded illegally within the past month.
 
|Description of Data=Survey data from 884 university students, mean age 18.94, who spent an average of three to four hours a day on the internet, with 90% earning less than $200 a week.  Students had an average of 2,508 songs on their computers.  28% had bought a CD, 32% had purchased a song from iTunes, and 54% had downloaded illegally within the past month.
Line 31: Line 26:
 
|Cross-country=No
 
|Cross-country=No
 
|Comparative=No
 
|Comparative=No
 +
|Government or policy=No
 +
|Literature review=No
 
|Funded By=University of Minnesota;
 
|Funded By=University of Minnesota;
 +
}}
 +
|Dataset={{Dataset
 +
|Sample Size=884
 +
|Level of Aggregation=University students,
 +
|Data Material Year=2007-2008
 
}}
 
}}
 
}}
 
}}

Latest revision as of 14:30, 2 October 2016

Advertising Architectural Publishing of books, periodicals and other publishing Programming and broadcasting Computer programming Computer consultancy Creative, arts and entertainment Cultural education Libraries, archives, museums and other cultural activities

Film and motion pictures Sound recording and music publishing Photographic activities PR and communication Software publishing Video game publishing Specialised design Television programmes Translation and interpretation

1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare 2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? 3. Harmony of interest assumption between authors and publishers (creators and producers/investors) 4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) 5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media)

A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right) B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) C. Mass digitisation/orphan works (non-use; extended collective licensing) D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) E. Fair remuneration (levies; copyright contracts) F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)

Source Details

Leung (2013)
Title: Music Piracy: Bad for Record Sales but Good for the iPod?
Author(s): Leung, T. C.
Year: 2013
Citation: Leung, T. C. (2015). Music piracy: Bad for record sales but good for the iPod?. Information Economics and Policy, 31, 1-12.
Link(s): Definitive , Open Access
Key Related Studies:
Discipline:
Linked by:
About the Data
Data Description: Survey data from 884 university students, mean age 18.94, who spent an average of three to four hours a day on the internet, with 90% earning less than $200 a week. Students had an average of 2,508 songs on their computers. 28% had bought a CD, 32% had purchased a song from iTunes, and 54% had downloaded illegally within the past month.
Data Type: Primary data
Secondary Data Sources:
Data Collection Methods:
Data Analysis Methods:
Industry(ies):
Country(ies):
Cross Country Study?: No
Comparative Study?: No
Literature review?: No
Government or policy study?: No
Time Period(s) of Collection:
  • 2007-2008
Funder(s):
  • University of Minnesota

Abstract

Music piracy is a double-edged sword for the music industry. On the one hand, it hurts record sales. On the other hand, it increases sales of its complements. To quantify the effect of music piracy, I construct a unique survey data set and use a Bayesian method to estimate the demand for music and iPods, and find three things. First, music piracy decreases music sales by 24% to 42%. Second, music piracy contributes 12% to iPod sales. Finally, counterfactual experiments show that, if music were free, the increase in Apple's profits from iPod can more than compensate the loss of musicians.

Main Results of the Study

  • music piracy decreases music sales by 24% to 42%.
  • music piracy contributes 12% to iPod sales.
  • counterfactual experiments show that Apple's revenue could increase by $36 per student if music were free.


Policy Implications as Stated By Author

The music industry could financially benefit from exploiting music complements to compensate for the income lost from direct music sales in a free music regime.



Coverage of Study

Coverage of Fundamental Issues
Issue Included within Study
Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare
Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)?
Harmony of interest assumption between authors and publishers (creators and producers/investors)
Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption)
Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media)
Green-tick.png
Coverage of Evidence Based Policies
Issue Included within Study
Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right)
Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction)
Mass digitisation/orphan works (non-use; extended collective licensing)
Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability)
Fair remuneration (levies; copyright contracts)
Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)
Green-tick.png

Datasets

Sample size: 884
Level of aggregation: University students
Period of material under study: 2007-2008