作為對資料導向研究的反思與補充，強調意義開發的厚資料研究途徑於2013年被提出，國內外的相關研究至今仍在探索階段。本文以中國研究中的政治經濟議題作為例子，展示如何以厚資料研究途徑突破與研究對象相關之數據失真的問題。本文主張有意義的數據資料使用是立基於相關行動者的辨認之上，研究者必須能夠釐清兩個問題:形成數據資料趨勢的相關行動者是誰，以及相關行動者的利益與行為動機結構為何。後者將促使研究者將行動者行為之所以產生的脈絡帶入分析中，以此瞭解人類從事該行為的意義。
As a reflection and supplement to data-driven research, thick data was firstly proposed as a complementary method of using data to engage in mean- ing mining in 2013. Through the case of Chinese political economy, this ar- ticle demonstrates how the use of thick data enables researchers to overcome the problem of data distortion. It argues that meaningful use of data sources is based on the identification of actors. In order to do so, researchers are required to answer the following two questions: Who are the actors contributing to the tendency shown by the data? What are the interests and incentives of those actors? The second question necessitates an extensive analysis, which makes sense of human behavior in relation to the data we collect.
國家機關(the State)是否利用國家資源干預市場(the Market)、國家機關是否應選擇某些特定產業加以扶植(selective policy)?這些投入資源是否能被有效達成發展的目的?是政治經濟學界有關「新古典經濟學派」與 「發展型國家學派」爭辯的焦點。在東協國家中，同樣自 1970 年代發展汽車產業，為何泰國與馬來西亞的汽車產業發展出現差距?差距是否源自國家機關與產業政策互動的結果?本研究藉由探討馬來西亞與泰國汽車產業的發展歷程，試圖比較與論證..
Whether should the state interfere the market by using state resources? Should the state cultivate certain industries? Does the state resources work to help the state achieve developmental goals? These are the arguments between the ‘New Classical Economics School’ and the ‘National Development School’. Automobile industries in both Thailand and Malaysia developed in the 1970s with governmental interference but the development in the two countries diverged. Does the difference come from the interactions..
中國大陸(Mainland China)做為社會科學學術研究對象，隨學科變遷以及兩岸情勢發展，在各時期有不同主題。承此，本文使用主題分析工具 (CATAR)，對「中國大陸研究」期刊於 1998~2015 年刊載之論文，透過論文的篇名與摘要文字，從事主題群聚(clustering)分析，藉以辨識顯著的研究主題，及其關鍵字，並以此觀察各主題發展趨勢。結果呈現出「中國大陸研究」之 473 篇文章，可歸類為七大主題，每一主題各有關鍵字。從每個主題的發表量(包括「發表..
With the rapid development of cross-strait situation, “Mainland China” as a subject of social science studies reflects different topics in different eras. This study applies an automatic content analysis tool(CATAR)to analyze the journal “Mainland China Studies”(1998-2015)to observe research trends based on clustering of the texts from the title and abstract of each journal article. The results show that the 473 articles published by the journal are clustered into seven salient topics. By publication n..
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