Difference between revisions of "Asongu (2014)"
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| − | |Name of Study=Asongu ( | + | |Name of Study=Asongu (2012) |
|Author=Simplice Asongu | |Author=Simplice Asongu | ||
|Title=Software piracy, inequality and the poor: evidence from Africa | |Title=Software piracy, inequality and the poor: evidence from Africa | ||
| − | |Year= | + | |Year=2012 |
|Full Citation=Simplice Asongu, (2014) "Software piracy, inequality and the poor: evidence from Africa", Journal of Economic Studies, Vol. 41 Issue: 4, pp.526-553, available under: https://doi.org/10.1108/JES-10-2012-0141. | |Full Citation=Simplice Asongu, (2014) "Software piracy, inequality and the poor: evidence from Africa", Journal of Economic Studies, Vol. 41 Issue: 4, pp.526-553, available under: https://doi.org/10.1108/JES-10-2012-0141. | ||
|Abstract=*Purpose – Poverty and inequality undoubtedly remain substantial challenges to economic and human developments amid growing emphasis on intellectual property rights (IPRs) (with recent advances in information and communication technology (ICTs)) and good governance. In the first empirical study on the incidence of piracy on inequality in Africa, the purpose of this paper is to examine how a plethora of factors (IPRs laws, education and ICTs and government quality) are instrumental in the piracy-inequality nexus. | |Abstract=*Purpose – Poverty and inequality undoubtedly remain substantial challenges to economic and human developments amid growing emphasis on intellectual property rights (IPRs) (with recent advances in information and communication technology (ICTs)) and good governance. In the first empirical study on the incidence of piracy on inequality in Africa, the purpose of this paper is to examine how a plethora of factors (IPRs laws, education and ICTs and government quality) are instrumental in the piracy-inequality nexus. | ||
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|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), | ||
|Intervention-Response=*As a policy implication, in the adoption IPRs, sampled countries should take account of the role less stringent IPRs regimes play on income-redistribution through software piracy. Collateral benefits include among others, the cheap dissemination of knowledge through ICTs which African countries badly need in their quest to become “knowledge economies.” A caveat is that, too much piracy may decrease incentives to innovate. Hence, the need to adopt tighter IPRs regimes in tandem with increasing income-equality. | |Intervention-Response=*As a policy implication, in the adoption IPRs, sampled countries should take account of the role less stringent IPRs regimes play on income-redistribution through software piracy. Collateral benefits include among others, the cheap dissemination of knowledge through ICTs which African countries badly need in their quest to become “knowledge economies.” A caveat is that, too much piracy may decrease incentives to innovate. Hence, the need to adopt tighter IPRs regimes in tandem with increasing income-equality. | ||
| + | |Description of Data=Asongu relies mainly on two sets of data: | ||
| + | |||
| + | *Data from the annual report of the African Development Bank (2012, available under: https://www.afdb.org/fileadmin/uploads/afdb/Documents/Publications/Annual_Report_2012.pdf | ||
| + | |||
| + | *Data from the piracy impact study of the Business Software Alliance(2010, available under: http://portal.bsa.org/piracyimpact2010/index.html | ||
| + | |Data Year=2009-2011 | ||
|Data Type=Secondary data | |Data Type=Secondary data | ||
| − | |Cross-country= | + | |Data Source=AfDB (2012); Business Software Alliance (2010); |
| + | |Method of Collection=Quantitative Collection Methods, Quantitative data/text mining, Qualitative Collection Methods, Qualitative content/text mining | ||
| + | |Method of Analysis=Quantitative Analysis Methods, Descriptive statistics (counting; means reporting; cross-tabulation), Qualitative Analysis Methods | ||
| + | |Industry=Creative, arts and entertainment; Publishing of books, periodicals and other publishing; Film and motion pictures; Software publishing (including video games); | ||
| + | |Country=Africa; | ||
| + | |Cross-country=Yes | ||
|Comparative=No | |Comparative=No | ||
|Government or policy=No | |Government or policy=No | ||
Revision as of 13:16, 27 February 2018
Contents
Source Details
| Asongu (2012) | |
| Title: | Software piracy, inequality and the poor: evidence from Africa |
| Author(s): | Simplice Asongu |
| Year: | 2012 |
| Citation: | Simplice Asongu, (2014) "Software piracy, inequality and the poor: evidence from Africa", Journal of Economic Studies, Vol. 41 Issue: 4, pp.526-553, available under: https://doi.org/10.1108/JES-10-2012-0141. |
| Link(s): | Definitive |
| Key Related Studies: | |
| Discipline: | |
| Linked by: | |
| About the Data | |
| Data Description: | Asongu relies mainly on two sets of data:
|
| 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
- Purpose – Poverty and inequality undoubtedly remain substantial challenges to economic and human developments amid growing emphasis on intellectual property rights (IPRs) (with recent advances in information and communication technology (ICTs)) and good governance. In the first empirical study on the incidence of piracy on inequality in Africa, the purpose of this paper is to examine how a plethora of factors (IPRs laws, education and ICTs and government quality) are instrumental in the piracy-inequality nexus.
- Design/methodology/approach – Two-stage least squares estimation approaches are applied in which piracy is instrumented with IPRs regimes (treaties), education and ICTs and government quality dynamics.
Main Results of the Study
- Software piracy is good for the poor as it has a positive income-redistributive effect; consistent with economic and cultural considerations from recent literature. ICTs and education (dissemination of knowledge) are instrumental in this positive redistributive effect, while good governance mitigates inequality beyond the piracy channel.
Policy Implications as Stated By Author
- As a policy implication, in the adoption IPRs, sampled countries should take account of the role less stringent IPRs regimes play on income-redistribution through software piracy. Collateral benefits include among others, the cheap dissemination of knowledge through ICTs which African countries badly need in their quest to become “knowledge economies.” A caveat is that, too much piracy may decrease incentives to innovate. Hence, the need to adopt tighter IPRs regimes in tandem with increasing income-equality.
