| 研究生: |
張逸凡 |
|---|---|
| 論文名稱: |
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 |
| 指導教授: |
邊泰明
Ben, Tai-Ming |
| 口試委員: |
張璠
Chang, Fang 林建元 Lin, Chien-Yuan |
| 學位類別: |
碩士
Master |
| 系所名稱: |
社會科學學院 - 地政學系碩士在職專班 The Master Program of Land Economics |
| 論文出版年: | 2018 |
| 畢業學年度: | 106 |
| 語文別: | 中文 |
| 論文頁數: | 90 |
| 中文關鍵詞: | 創意人才 、新創廠商 、空間自相關 、Tobit panel data model |
| 外文關鍵詞: | Creative class, Start-ups, Spatial autocorrelation, Tobit panel data model |
| DOI URL: | http://doi.org/10.6814/THE.NCCU.MPLE.009.2018.A05 |
| 相關次數: | 點閱:62 下載:2 |
| 分享至: |
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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.
第一章 緒論 4
第一節 研究動機與目的 4
第二節 研究範圍與內容 8
第三節 研究方法與流程 9
第二章 文獻回顧 11
第一節 創意人才 11
第二節 創意產業 18
第三節 創業理論 26
第四節 影響新創廠商之因素 30
第四節 小結 37
第三章 研究方法 39
第一節 資料來源與研究變數 39
第二節 空間自相關分析 46
第三節 研究模型 50
第四章 創意人才、新創廠商與創意產業新創廠商空間分析 53
第一節 空間分布現況 53
第二節 全域型Moran’s I 分析 57
第三節 區域型Moran’s I 分析 62
第四節 小結 68
第五章 研究結果與分析 70
第一節 敘述統計分析 70
第二節 相關性統計分析 71
第三節 實證結果分析 72
第六章 結論與建議 78
參考文獻 80
一、中文 80
二、英文 83
附錄 86
附錄一 創意產業分類表 86
附錄二 創意人才、新創廠商及創意產業新創廠商分布統計表 90
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