<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mingming Wang</style></author><author><style face="normal" font="default" size="100%">Bo Liao</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Research on Contribution of Information Productivity to Economic Growth</style></title><secondary-title><style face="normal" font="default" size="100%"> 2012 International Conference on Management of e-Commerce and e-Government</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/6374957</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%"> IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Beijing, China</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper measures the contribution of information productivity to the economic growth by a revised Cobb-Douglas production function which takes capital, labor and information as three elements. The result shows that information productivity contributes the most to the economic growth. Meanwhile, we also compare China with other high income countries and find that information input has stronger multiplier effect in China than high income countries.</style></abstract></record></records></xml>