Difference between revisions of "Van Kranenburg and Hogenbirk (2005)"
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|Name of Study=van Kranenburg and Hogenbirk (2005) | |Name of Study=van Kranenburg and Hogenbirk (2005) | ||
− | |Cross-country= | + | |Author=van Kranenburg, H.; Hogenbirk, A.; |
+ | |Title=Multimedia, Entertainment, and Business Software Copyright Piracy: A Cross-National Study | ||
+ | |Year=2005 | ||
+ | |Full Citation=van Kranenburg, H., & Hogenbirk, A. (2005). Multimedia, entertainment, and business software copyright piracy: A cross-national study. Journal of Media Economics, 18(2), 109-129. | ||
+ | |Abstract=This article examines cross-national variations in piracy of U.S. copyright-related products in the multimedia, entertainment, and software industry. To determine which economic, legal, and social factors cause the considerable differences in piracy of U.S. copyright industries’ products in individual countries, we tested 4 industry models.We found that for most industries piracy can be explained by the risk profile of the country involved (signaling economic and political stability and growth potential) and the existence of a strong intellectual property rights system. Furthermore, for the 4 analyzed copyright-based industries, considerable variation in piracy | ||
+ | exists between geographic regions. This study shows that disaggregation of the copyright piracy data by industry is helpful in analyzing and understanding piracy. | ||
+ | |Authentic Link=http://www.tandfonline.com/doi/abs/10.1207/s15327736me1802_3 | ||
+ | |Link=https://core.ac.uk/download/pdf/6818662.pdf | ||
+ | |Reference=Ginarte and Park (1997); Marron and Steel (2000); Silva and Ramello (2000); Takeyama (1997); Shy and Thisse (1999); | ||
+ | |Plain Text Proposition=*Large market size of a host country results in higher revenue losses for the creative industries, even if the piracy rates in these industries are relatively low. | ||
+ | |||
+ | *In general, low-risk countries show lower piracy rates and that the revenue losses suffered by U.S. companies producing and selling copyright-related products in these countries are positively related with the risk, with one exception: revenue losses due to business software applications piracy. | ||
+ | |||
+ | *The evidence shows significant differences in piracy among separate regions in the world. | ||
+ | |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), A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right), | ||
+ | |Discipline=L82: Entertainment • Media, L86: Information and Internet Services • Computer Software | ||
+ | |Intervention-Response=Studying the determinants of piracy rates and the estimated companies’revenue losses suffered abroad due to piracywould be useful for understanding the strategy and policy initiatives to be undertaken by companies, industries,andgovernments. This study extends existing studies (e.g., Husted, 2000; Marron & Steel, 2000) by examining the cross-national variation in piracy in four | ||
+ | U.S. copyright-based industries: business software applications, record and musical compositions, motion pictures, and entertainment software. | ||
+ | |Description of Data=The data set for this study was composed of data from various sources. The primary sources we employed were the IIPA (1999, 2000, 2001) and theWorld Bank (2000, 2001).The sample included a substantial number of countries from different regions: East Europe (10), Asia (11), the Middle East (8), and Latin America (13). | ||
+ | |Data Year=1999-2001 | ||
+ | |Data Type=Secondary data | ||
+ | |Data Source=IIPA; World Bank; | ||
+ | |Method of Analysis=Regression Analysis | ||
+ | |Industry=Sound recording and music publishing; Film and motion pictures; Software publishing (including video games); | ||
+ | |Country=Argentina; Bolivia; Brazil; Chile; China; Colombia; Costa Rica; Czech Republic; Dominican Republic; Egypt; El Salvador; Estonia; Greece; Guatemala; Hungary; India; Indonesia; Israel; Italy; Jordan; Kuwait; Latvia; Lebanon; Lithuania; Malaysia; Oman; Pakistan; Paraguay; Peru; Philippines; Poland; Qatar; Romania; Russian Federation; Saudi Arabia; Slovakia; Korea; | ||
+ | |Cross-country=Yes | ||
|Comparative=No | |Comparative=No | ||
|Government or policy=No | |Government or policy=No | ||
|Literature review=No | |Literature review=No | ||
+ | |Funded By=None stated; | ||
+ | |Level of Aggregation=Country; | ||
+ | |Data Material Year=2005 | ||
+ | |Sample Size=32 | ||
+ | }} | ||
+ | |Dataset={{Dataset | ||
+ | |Sample Size=42 | ||
+ | |Level of Aggregation=Country, | ||
+ | |Data Material Year=1999-2001 | ||
}} | }} | ||
− | |||
}} | }} |
Revision as of 20:44, 3 March 2017
Contents
Source Details
van Kranenburg and Hogenbirk (2005) | |
Title: | Multimedia, Entertainment, and Business Software Copyright Piracy: A Cross-National Study |
Author(s): | van Kranenburg, H., Hogenbirk, A. |
Year: | 2005 |
Citation: | van Kranenburg, H., & Hogenbirk, A. (2005). Multimedia, entertainment, and business software copyright piracy: A cross-national study. Journal of Media Economics, 18(2), 109-129. |
Link(s): | Definitive , Open Access |
Key Related Studies: | |
Discipline: | |
Linked by: |
About the Data | |
Data Description: | The data set for this study was composed of data from various sources. The primary sources we employed were the IIPA (1999, 2000, 2001) and theWorld Bank (2000, 2001).The sample included a substantial number of countries from different regions: East Europe (10), Asia (11), the Middle East (8), and Latin America (13). |
Data Type: | Secondary data |
Secondary Data Sources: | |
Data Collection Methods: | |
Data Analysis Methods: | |
Industry(ies): | |
Country(ies): | |
Cross Country Study?: | Yes |
Comparative Study?: | No |
Literature review?: | No |
Government or policy study?: | No |
Time Period(s) of Collection: |
|
Funder(s): |
|
Abstract
This article examines cross-national variations in piracy of U.S. copyright-related products in the multimedia, entertainment, and software industry. To determine which economic, legal, and social factors cause the considerable differences in piracy of U.S. copyright industries’ products in individual countries, we tested 4 industry models.We found that for most industries piracy can be explained by the risk profile of the country involved (signaling economic and political stability and growth potential) and the existence of a strong intellectual property rights system. Furthermore, for the 4 analyzed copyright-based industries, considerable variation in piracy exists between geographic regions. This study shows that disaggregation of the copyright piracy data by industry is helpful in analyzing and understanding piracy.
Main Results of the Study
- Large market size of a host country results in higher revenue losses for the creative industries, even if the piracy rates in these industries are relatively low.
- In general, low-risk countries show lower piracy rates and that the revenue losses suffered by U.S. companies producing and selling copyright-related products in these countries are positively related with the risk, with one exception: revenue losses due to business software applications piracy.
- The evidence shows significant differences in piracy among separate regions in the world.
Policy Implications as Stated By Author
Studying the determinants of piracy rates and the estimated companies’revenue losses suffered abroad due to piracywould be useful for understanding the strategy and policy initiatives to be undertaken by companies, industries,andgovernments. This study extends existing studies (e.g., Husted, 2000; Marron & Steel, 2000) by examining the cross-national variation in piracy in four U.S. copyright-based industries: business software applications, record and musical compositions, motion pictures, and entertainment software.
Coverage of Study
Datasets
Sample size: | 42 |
Level of aggregation: | Country |
Period of material under study: | 1999-2001 |