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    Title: 創意人才空間分布變遷對新創廠商影響之研究
    The study of the impact of the creative class spatial distribution change on start-ups
    Authors: 張逸凡
    Contributors: 邊泰明
    Ben, Tai-Ming
    張逸凡
    Keywords: 創意人才
    新創廠商
    空間自相關
    Tobit panel data model
    Creative class
    Start-ups
    Spatial autocorrelation
    Tobit panel data model
    Date: 2018
    Issue Date: 2018-08-29 15:57:43 (UTC+8)
    Abstract: Florida 認為對經濟成長貢獻最大的人力資本是創意資本,它
    是由社會的創意人才構成的,創意人才所擁有的創意對區域經濟成
    長有最大驅動力。新創廠商則是區域經濟的重要指標,對區域經濟
    成長有顯著影響。依照創業理論,創業與創新間密不可分。因此本
    文研究創意人才、新創廠商及創意產業新創廠商空間分布變化趨勢
    情形,並探討創意人才及其空間分布型態與新創廠商、創意產業新
    創廠商間關係。
    本文以民國85、90、95 及100 年工商普查資料為基礎,以空間
    自相關分析創意人才、新創廠商與創意產業新創廠商之空間分布變
    遷情形,再將創意人才及其空間分布型態與其他影響新創廠商之因
    素作為變數,運用隨機效果Tobit panel data model,分析創意人
    才及其空間分布型態對新創廠商、創意產業新創廠商之影響。
    實證分析的結果是對於新創廠商、創意產業新創廠商而言,創
    意人才與其空間分布型態中之HH 類型確實對其有正面顯著影響,但
    創意人才本身數量的多寡,相較於該地區與鄰近地區間所呈現出的
    創意人才空間分布型態,更為重要。
    Florida mentioned that the greatest contribution of human capital to
    economic growth is creativity capital, which includes the creative class in
    society. The creativity provided by creative class is the most crucial
    element driving regional economic growth. Start-ups are critical indicators
    of regional economics and thus significantly impact regional economic
    growth. According to entrepreneurial theories, separating entrepreneurship
    and innovation is hard; therefore, the purpose of this study was to explore
    the space distribution change trends among creative class, start-ups, and
    start-ups in the creative industry, as well as the relationships among
    patterns between creative class and their space distribution, start-ups, and
    start-ups in the creative industry.
    This study was based on general commercial and industrial
    investigation data collected in 1996, 2001, 2006, and 2011, and then we
    applied spatial autocorrelation to analyze space distribution changes
    among creative class, start-ups, and start-ups in the creative industry.
    Patterns between creative class and their space distribution and the other
    influencing factors of start-ups were then applied as variables to create a
    Tobit panel data model with random effects on the impact analysis of the
    patterns between creative class and their space distribution to start-ups and
    start-ups in the creative industry.
    Based on the results of our analysis, for the start-ups and start-ups in
    the creative industry, an HH pattern between the creative class and their
    space distribution may have a positive significant impact. However, the
    number of creative class is even more important than the pattern of creative
    class’ space distribution in that region or neighborhood.
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    Description: 碩士
    國立政治大學
    地政學系碩士在職專班
    103923027
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0103923027
    Data Type: thesis
    DOI: 10.6814/THE.NCCU.MPLE.009.2018.A05
    Appears in Collections:[地政學系] 學位論文

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