台灣寬頻上網與數位落差 ; Taiwan Broadband Internet Service and Digital Divide

NCUIR > School of Management at National Central University > Executive Master of Industrial Economics > Electronic Thesis & Dissertation > Item 987654321/44189

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Title:	台灣寬頻上網與數位落差;Taiwan Broadband Internet Service and Digital Divide
Authors:	彭康韶;KANGSHAO PENG
Contributors:	產業經濟研究所碩士在職專班
Keywords:	數位落差;寬頻上網;broadband Internet;digital divide
Date:	2010-07-14
Issue Date:	2010-12-08 14:53:27 (UTC+8)
Publisher:	國立中央大學
Abstract:	網際網路一向被認為是公共的載具，透過網際網路，各式各樣的應用服務不受限制地自由發展，也促進了附加價值的創造與利用，並提昇社會公眾的經濟福利。但在現實網際網路發展過程中，由於資訊通信建設、經濟或人文社會等因素的不同，而產生了「數位落差」的現象。實證結果顯示: 在台灣總體部分，電腦普及率、高等教育比率、家戶收入、營利事業家數密度及年齡層中20~24歲及25~34歲對寬頻上網率的影響具有正向顯著；人口密度變數對寬頻上網率的影響具有負向顯著；代表農業縣區域或都會區域特性之虛擬變數對寬頻上網率的影響則不具顯著性。就都會區域與農業縣區域之比較部分，在電腦普及率變數之影響程度上，都會區域稍低於農業縣區域；家戶收入變數之影響程度上，農業縣區域所得彈性為都會區域的2.5倍；營利事業家數密度變數之影響程度上，都會區域為農業縣區域的2倍。Internet has always been considered a public carrier. A wide range of applications and value-added creations are unrestrictedly and freely developed and promoted via Internet. Then， the economic welfare of the public had been enhanced. But the reality of the Internet deployment, the factors of the information and communication infrastructure, economic or humanity developments cause the "digital divide". The result of the empirical study in the Taiwan ‘s 23 counties, the explanatory variables of computer penetration rate, college graduated rate, household income, the density of the enterprise, the age level 20-24 and the age level 25-34 have a significant positive impact on the broadband Internet penetration rate . The variable of the population density has a significant negative impact on the broadband Internet penetration rate. The capital county and the agricultural county dummy variables don’t have the significant impact on the broadband Internet penetration rate. The comparison of the agricultural county and the capital county, for the influence of the computer penetration rate variable, the capital county is slightly lower than the agricultural county. For the influence of the household income variable, the agricultural county’s income elasticity is 2.5 times of the capital counties. For the influence of the density of the enterprise variable, the capital county is 2 times of the agricultural county.
Appears in Collections:	[Executive Master of Industrial Economics] Electronic Thesis & Dissertation

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