G2TT
来源类型Discussion paper
规范类型论文
来源IDDP7154
DP7154 Economic growth and the design of search engines
Gilles Saint-Paul
发表日期2009-02-09
出版年2009
语种英语
摘要The Internet plays a growing role in the economy. This paper extrapolates this trend and analyses a world where most transactions take place in "cyberspace". We ask the following question: how does the design of the search engine affect the incentives to innovate and the economy?s long run growth rate? This is done in the context of a "qualitative" model where growth occurs because the number of varieties grows and consumers select a shrinking fraction of the available goods, of growing quality. They must use a search engine to locate goods. The search engine affects the market size of a good over its life cycle, and thus the incentives to innovate. Its structure has two conflicting effects. A visibility effect by which a greater hit score increases market size. A selection effect by which consumers are more picky and select higher quality goods, thus reducing the life span of any given good.While these two effects on growth cancel out for simple specifications, that is no longer the case if a firm?s score is variable along its life cycle or if he search process uses resources. It is shown that the discount effect of gradual recognition of popularity tends to reduce growth. Hence, growth is enhanced if the search engine is less sensitive to popularity. Also, growth is lower when the search engine rewards "web page quality" better because of the resources diverted away from R and D into advertising. But these mechanisms generate opposite level effects on the average quality selected by consumers. As a result the net effect on welfare is ambiguous.
主题International Macroeconomics
关键词R and d Advertising Endogenous growth Search engines Selection Quality ladders Internet
URLhttps://cepr.org/publications/dp7154
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/535990
推荐引用方式
GB/T 7714
Gilles Saint-Paul. DP7154 Economic growth and the design of search engines. 2009.
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