Search results

The purpose of this paper is to expose two mechanisms by which pirated firms that market cultural goods can strategically use piracy to increase their profits.

The authors interpret several world examples through the lens of behavioral economics to identify mechanisms that can make pirates’ initiatives profitable for the intellectual property rights holders. They also address two principal objections to “beneficial piracy”.

First, intrinsically motivated pirates can be in a better position to shape consumers’ preferences in a sense favorable to the firm profit. Second, pirates can generate strategic information that can help original producers to increase their profits.

Fighting piracy can be perfectly justified from a legal viewpoint while constituting simultaneously a bad decision for a business viewpoint. Moreover, some pirates follow ethical rules that can lead to a symbiotic relationship with pirated businesses. Nevertheless, the generalization of our analysis must be undertaken with caution given that our arguments have been developed out of observations of particular institutional settings.

Distinguishing “good pirates” from “bad ones” can lead managers to reconsider the systematic disapproval of copyright infringement in favor of more nuanced approaches.

Piracy can be useful under some circumstances for the pirated firm and even for the whole society, by increasing access to cultural goods.

The authors identify two mechanisms that can make piracy profitable for pirated firms. These insights can help managers to avoid a “one-size-fits-all” policy regarding piracy and to seek how to create conditions for a mutual and shared success.

Purpose – The purpose of this chapter is to investigate empirically whether entrepreneurship causes growth or whether growth creates a prosper environment for entrepreneurship.

Design/methodology – We perform a co-integration analysis using an error correction model on data from 34 countries spanning 13 years to assess the causality issue between growth (proxied by GDP per capita) and entrepreneurship (proxied by self-employment). Our analysis also includes other variables deemed to influence growth.

Findings – The results from an error correction model show that self-employment Granger causes GDP per capita while the opposite direction is not statistically accepted. Moreover, these results suggest that increases in self-employment increase GDP per capita over the short-term but leads to a GDP per capita decrease at a long-term horizon.

Research limitations and implications – We use a linear model to estimate the relationship between self-employment and Growth. Consequently, a more complex model allowing for nonlinearities and additional variables might be more accurate. The empirical investigation is limited to self-employment, which is one facet of entrepreneurship, hence it will be interesting to introduce other measures of entrepreneurship. A direct implication of our study is that rather to be a sustainable economic driver, self-employment seems to resolve only a short-term problem.

Value – The chapter contributes by analyzing the relationship between self-employment and growth by using a co-integration analysis. Consequently it offers a more rigorous appreciation of the direction of causality as well as the long- vs. short-term relationships.