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Digital technologies have transformed the way many creative works are generated, disseminated and used. They have made cultural products more accessible, challenged established business models and the copyright system, and blurred the boundary between producers and consumers. This unique resource presents an up-to-date overview of academic research on the impact of digitization in the creative sector of the economy

As digitalization meets local traditions, there is great potential for creative industries (CI) to promote economic and social development in middle- and low-income countries. This book explores the economic and cultural relevance of these industries in India. The book identifies key topics regarding cultural and creative industries in India, which has a rich cultural heritage and a young demographic and is undergoing swift socio-economic change. It contains the most sophisticated and comprehensive mappings of CI in India to date. It also features numerous case studies, which illuminate the growth of CI in India, its intersections with caste and gender, the central role of handloom, handicraft, and other local practices within communities, as well as the specific challenges in safeguarding and harnessing various creative industry assets to promote sustainable development and social change. Rich with empirical data, this book will be an essential read for scholars and researchers of cultural studies, economics, history, social work, development studies, media studies, and South Asian studies.

With the proliferation of digital data, data mining (DM)—in the sense of the discovery of valuable structures in large sets of data—is expected to increase the productivity of many types of research. This paper discusses how copyright affects DM by academic researchers. In some territories, academic DM is lawful if researchers have lawful access to input works. In other territories such as the European Union, lawful DM additionally requires specific consent by rights holders. Based on bibliometric data and quasi-experimental research designs, we show that where academic DM requires specific rights holder consent: (1) DM publications make up a significantly lower share of total research output, and (2) stronger rule of law is associated with less DM research. To our knowledge, this study is the first to empirically document an adverse effect of intellectual property (IP) on innovation under particular circumstances. There is strong evidence that copyright exceptions or limitations promote the adoption of DM research.

With the proliferation of digital data, data mining (DM)—in the sense of the discovery of valuable structures in large sets of data—is expected to increase the productivity of many types of research. This paper discusses how copyright affects DM by academic researchers. In some territories, academic DM is lawful if researchers have lawful access to input works. In other territories such as the European Union, lawful DM additionally requires specific consent by rights holders. Based on bibliometric data and quasi-experimental research designs, we show that where academic DM requires specific rights holder consent: (1) DM publications make up a significantly lower share of total research output, and (2) stronger rule of law is associated with less DM research. To our knowledge, this study is the first to empirically document an adverse effect of intellectual property (IP) on innovation under particular circumstances. There is strong evidence that copyright exceptions or limitations promote the adoption of DM research.

With the proliferation of digital data, data mining (DM)¿in the sense of the discoveryof valuable structures in large sets of data¿is expected to increase the productivityof many types of research. This paper discusses how copyright affects DM by aca-demic researchers. In some territories, academic DM is lawful if researchers havelawful access to input works. In other territories such as the European Union, lawfulDM additionally requires specific consent by rights holders. Based on bibliometricdata and quasi-experimental research designs, we show that where academic DMrequires specific rights holder consent: (1) DM publications make up a significantlylower share of total research output, and (2) stronger rule of law is associated withless DM research. To our knowledge, this study is the first to empirically documentan adverse effect of intellectual property (IP) on innovation under particular circum-stances. There is strong evidence that copyright exceptions or limitations promotethe adoption of DM research.

This paper explores the social, demographic and attitudinal basis of consumer support of a Copyright Compensation System (CCS), which, for a small monthly fee would legalise currently infringing online social practices such as private copying from illegal sources and online sharing of copyrighted works. We do this by first identifying how different online and offline, legal and illegal, free and paying content acquisition channels are used in the media market using a cluster-based classification of respondents. Second, we assess the effect of cultural consumption on the support for a shift from the status quo towards alternative, CCS-based forms of digital cultural content distribution. Finally, we link these two analyses to identify the factors that drive the dynamics of change in digital cultural consumption habits. Our study shows significant support to a CCS compared to the status quo by both occasional and frequent buyers of cultural goods, despite the widespread adoption of legal free and paying online services by consumers. The nature of these preferences are also explored with the inclusion of consumer preference intensities regarding certain CCS attributes. Our results have relevant policy implications, for they outline CCS as a reform option. In particular, they point evidence-based copyright reform away from its current direction in the EU of stronger enforcement measures, additional exclusive rights, and increased liability and duties of care for online platforms. This work shows that CCS may be an apt policy tool to hinder piracy and potentially increase right holder revenues, while respecting fundamental rights and promoting technological development.

In the European Strategy for Data, the European Commission highlighted the EU's ambition "to acquire a leading role in the data economy." At the same time, the Commission conceded that the EU would have to "increase its pools of quality data available for use and re-use." In the creative indus- tries, this need for enhanced data quality and interoperability is particularly strong (section A). Without data improvement, unprecedented opportunities for monetising the wide variety of creative content in EU Member States and making this content available for new technologies, such as artificial intelligence ("AI") systems, will most probably be lost (section B). The problem has a worldwide dimension. While the US have already taken steps to provide an integrated data space for music as of 1 January 2021, the EU isfacing major obstacles not only in the field of mu- sic but also in other creative industry sectors (sec- tion C). Weighing costs and benefits (section D), there can be little doubt that new data improvement ini- tiatives and sufficient investment in a better copyright data infrastructure should play a central role in EU copyright policy. The work notification system following from Article 17(4)(b) of the Directive on Copyright in the Digital Single Market may offer an un- precedented opportunity to bundle and harmonize data in a shared EU copyright data repository (section E). In addition, a trade-off between data harmonisation and interoperability on the one hand, and transparency and accountability of content recommender systems on the other, may pave the way for new ini- tiatives (section F).