Examining the influencing factors and the most efficient point of broadband adoption in china
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nam, C. | - |
dc.contributor.author | Kim, S. | - |
dc.contributor.author | Lee, H. | - |
dc.contributor.author | Duan, B. | - |
dc.date.accessioned | 2021-09-09T00:22:52Z | - |
dc.date.available | 2021-09-09T00:22:52Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 1443-458X | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/121879 | - |
dc.description.abstract | This paper examines several key factors affecting the adoption rate of broadband Internet access in 31 provinces of China by employing the Stochastic Frontier Analysis Model. It was found that disposable income, penetration rate of fixed phones, number of Internet users, and educational attainment were the most important factors in the adoption of broadband. In addition, we present the relative market potential of each province by exploring the most efficient point for broadband penetration. Our results imply that the market potential is still much greater in the more developed areas of China where the actual adoption rate is high, such as municipalities and the southeast coast region. © 2009, Australian Computer Society Inc. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.subject | Broadband adoption | - |
dc.subject | China | - |
dc.subject | Influencing factors | - |
dc.subject | Most efficient point | - |
dc.subject | Stochastic frontier analysis | - |
dc.subject | Broadband networks | - |
dc.subject | Internet | - |
dc.subject | Random processes | - |
dc.subject | Stochastic models | - |
dc.title | Examining the influencing factors and the most efficient point of broadband adoption in china | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, S. | - |
dc.identifier.scopusid | 2-s2.0-67449141070 | - |
dc.identifier.bibliographicCitation | Journal of Research and Practice in Information Technology, v.41, no.1, pp.25 - 38 | - |
dc.relation.isPartOf | Journal of Research and Practice in Information Technology | - |
dc.citation.title | Journal of Research and Practice in Information Technology | - |
dc.citation.volume | 41 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 25 | - |
dc.citation.endPage | 38 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Broadband adoption | - |
dc.subject.keywordPlus | China | - |
dc.subject.keywordPlus | Influencing factors | - |
dc.subject.keywordPlus | Most efficient point | - |
dc.subject.keywordPlus | Stochastic frontier analysis | - |
dc.subject.keywordPlus | Broadband networks | - |
dc.subject.keywordPlus | Internet | - |
dc.subject.keywordPlus | Random processes | - |
dc.subject.keywordPlus | Stochastic models | - |
dc.subject.keywordAuthor | Broadband adoption | - |
dc.subject.keywordAuthor | China | - |
dc.subject.keywordAuthor | Influencing factors | - |
dc.subject.keywordAuthor | Most efficient point | - |
dc.subject.keywordAuthor | Stochastic frontier analysis | - |
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