Digital Goods and the New Economy
Danny Quah ()
CEP Discussion Papers from Centre for Economic Performance, LSE
Abstract:
Digital goods are bitstrings, sequences of 0s and 1s, which have economic value. They are distinguished from other goods by five characteristics: digital goods are nonrival, infinitely expansible, discrete, aspatial, and recombinant. The New Economy is one where the economics of digital goods importantly influence aggregate economic performance. This Article considers such influences not by hypothesizing ad hoc inefficiencies that the New Economy can purport to resolve, but instead by beginning from an Arrow-Debreu perspective and asking how digital goods affect outcomes. This approach sheds light on why property rights on digital goods differ from property rights in general, guaranteeing neither appropriate incentives nor social efficiency; provides further insight into why Open Source Software is a successful model of innovation and development in digital goods industries; and helps explain how geographical clustering matters.
Keywords: aspatial; emergence; idea; information; innovation; intellectual asset; Internet; knowledge; Open Source; weightless economy (search for similar items in EconPapers)
JEL-codes: D60 L12 O30 R12 (search for similar items in EconPapers)
Date: 2003-03
New Economics Papers: this item is included in nep-geo, nep-mic, nep-net and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)
Downloads: (external link)
https://cep.lse.ac.uk/pubs/download/dp0563.pdf (application/pdf)
Related works:
Working Paper: Digital Goods and the New Economy (2003) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cep:cepdps:dp0563
Access Statistics for this paper
More papers in CEP Discussion Papers from Centre for Economic Performance, LSE
Bibliographic data for series maintained by ().