• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 4
  • 4
  • Tagged with
  • 4
  • 4
  • 4
  • 4
  • 4
  • 4
  • 3
  • 3
  • 3
  • 3
  • 2
  • 2
  • 2
  • 2
  • 2
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

以專利衡量研發創新投入之資源錯置問題 - 以中國內外資製造業廠商為例 / Misallocation of R&D Inputs by Using Patent Value Index - A Case of the Manufacturing Companies with Foreign Investment and Domestic Investment

歐潤芸 Unknown Date (has links)
創新能力是近年產業發展的趨勢,過去文獻常只單用專利數量來衡量研發效率,方法直觀卻無法真實反應專利價值。本研究嘗試利用專利數量及專利價值指數一起衡量廠商研發投入與產出間的效率,研究對象為2005年至2007年間中國規模水準以上廠商,利用其專利總價值指數與該公司所投入的資本要素與勞動要素探討該公司資源錯置的現象。有鑑於中國積極引進外資企業進駐中國,本研究依公司註冊登記類型將公司分為國有企業、民營企業及外資企業三大類,藉以研究中國經濟發展政策對此三類企業研發效率發展的影響。結果顯示,國有企業的研發效率優於民營企業與外資企業。因為政府積極實施產業政策以促進國內研發創新能力,給予國有企業相當多的政策優惠,故國有企業擁有較高的研發生產力;而民營企業因核心技術的不足,多以替國外大廠代工為主要經營模式,研發創新能力較低。中國改革開放後,積極引進外資企業進駐中國,而當時外資企業看中的是中國低廉的勞動成本與廣大的潛在市場,核心研發技術並未引進中國,導致外資企業研發能力在資料區間內呈現最為低落的情形。 / Innovation has become the trend for the industrial development nowadays. In the past, little research can measure the industrial outcome due to inadequate knowledge on patent value index. In this paper, I compute the patent value index based on the surveyed data of the manufacturing firms in China from 2005 to 2007. The misallocation between research output and input is computed as the major result. Based on firm registration data, I divided firms into three categories, state-owned firms, private firms and foreign firms. Our result shows that state-owned firms have higher innovation efficiency than others. The high research efficiency belonging to state-owned firms benefited from many industrial policies and preferential policy implemented by government. Due to the lack of innovation technology characterized by OEM (Original equipment manufacturer) model, private firms record lower research performance. Other than domestic firms, foreign firms simply utilize cheap production inputs and the larger market size as a base for process trade. Innovation activities are only conducted by parent companies. That is why foreign firms’ record lower innovation efficiency in this research.
2

以專利衡量研發創新投入之資源錯置問題 -以中國東部沿海地區製造業廠商為例 / Misallocation of R&D Inputs by Using Patent Value Index - A Case of the Manufacturing Companies Located in Eastern China

李姵儀 Unknown Date (has links)
專利和創新是近年產業發展極重要的趨勢,但是在過去對於中國產業的資源錯置相關研究中,卻沒有發現以專利來做為衡量產出的標準。因此本研究蒐集了中國2005到2007年的水準以上製造業廠商資料,並將Mtrends專利檢索平台資料庫中之專利資料加以整合,建構出中國水準以上製造業廠商之美國專利資料的資料庫。並依據文獻所提出之資源錯置模型,以資料庫中之專利資料作為創新研發產出之代表,計算出廠商之效率值與資源錯置的程度。根據廠商之專利數量及專利價值指標兩種衡量方式來討論中國東部沿海三大經濟區,環渤海經濟區、長三角經濟區及珠三角經濟區之效率值及資源錯置問題。研究結果發現珠三角經濟區因開放年代較早,在人力及知識累積下,研發效率值相對較高,資源錯置問題亦相對較不嚴重的,而長三角與環渤海經濟區由於產業多集中於高科技產業,部分廠商之技術尚未成熟,因此在研發效率值的表現上較為落後且資源錯置問題亦相對較為嚴重。 / Innovation and patent applications have become the central issue for the industrial development nowadays. In the past, there’s little research to measure the innovation outputs by patents. Thus, in this paper, I collected the data for the manufacturing firms in China from 2005 to 2007 and combine with the patent data in Mtrends database. Based on my misallocation computation, I use patent as the R&D output and measure the innovation efficiency and the misallocation level. Based on my result, the efficiency is higher in Pearl River Delta Economic Zone due to its earlier development and low in Bohai Bay Economic Zone & Yangtze River Delta Economic Zone because of industrial concentration. Thus, the misallocation is much more severe in Bohai Bay Economic Zone & Yangtze River Delta Economic Zone and is much lighter in Pearl River Delta Economic Zone.
3

創新創業市場與資源錯置:以創投投資電子產業研發效率為例 / Resource Misallocation in New Ventures : The Case of Innovation Investment in ICT Industry

陳郁喬, Chen, Yu-Chiao Unknown Date (has links)
隨著經濟全球化的發展,創新創業在國際競爭的地位越來越重要,創新不僅是國家經濟增長的動力,也是企業長期競爭力的關鍵。我國創業投資在電子產業快速發展進程中,扮演緩解新創企業融資障礙的重要角色。近期各項經濟數據均顯示,伴隨國家產業創新政策,電子新創企業在研發投入過程中有嚴重的資源錯置問題。本研究以台灣創投投資電子產業之研發效率為例,研究結果證實電子新創企業於首次公開發行期間具研發效率不足現象,主要原因為企業致力於美化財報,提高資本支出以利當期產出反應高財務績效,而抑制研發投入作為上市(櫃)經營策略。 / Innovation activities have long been accredited by its crucial role to sustain continuous long-term economic growth. Recent studies nonetheless suggested severe problems of input misallocation associated with innovation investment. This research measures input misallocations of venture capital supported business and identified significant underinvestment of new ventures right before their initial public offerings (IPOs). This is because new ventures have the incentives to adjust the reported earnings by cutting the R&D investment that is supposed to cut the current expense but not to affect short-term operational performance in the market. Therefore, new ventures would typically incur underinvestment in innovation activities right before IPOs.
4

中國大陸延攬海外高層次人才之資源錯置 / The Allocative Efficiency of Thousand Talents Program

邱世憲, Chiu, Shih Hsien Unknown Date (has links)
本研究使用多種資料蒐集方法,對全球經濟大國中國大陸海外高層次人才引進計畫(簡稱千人計畫)之數據資料進行量化分析,本研究針對千人計畫第一批至第五批部分專家學者,分析在2009年至2014年間透過此計畫資源投入的整體學術研究產出效率,並進一步討論不同研究機構在資源獲得及學術產出效率上的差異。模型運算結果後發現,首先,國家自然科學基金在千人計畫研究經費配置上明顯偏向國家研究機構,其次,國家研究機構不論在研究產出效率或生產力指標上表現都較中國大學佳,這樣的結果說明了,千人計畫資源錯置的情況確實存在,若集中研究資源並合理配置給國家研究機構進行研發創新,將資源分配給產值高、研究成果豐碩的學者們,這樣對於中國科學領域巨額投入的回報只會有增無減。本文至此,可對中國菁英階層主導的千人計畫政策,就學術產出效率層面,建議最適的人力資本投資方向,以期能避免嚴重的資源錯置問題,並且對後續相關研究者有所助益。 / This research measures the resource misallocation of human capital development in China. We create a dataset composed of Chinese repatriate researchers of the first to fifth groups of Thousand Talent program scientists during 2009 - 2014. The result shows that National Research Institutions have long outperformed university in productivity and research output efficiency. This research; thus, contribute to evaluate the impact brought about by China's overseas high-level talents’ introduction policy via quantitative analyses and propose a variety of data collection techniques to create a reliable dataset for future research.

Page generated in 0.0195 seconds