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.
本文探討台灣國際政治經濟學領域自2010年至2021年之間的發展情況。針對國內的TSSCI期刊、科技部計畫、學位論文和專書之中與國際政治經濟學相關研究者進行資料蒐集,並藉由描述性統計方法呈現研究議題與研究方法的分布情況。除此之外,本文亦比較國內國際政治經濟學研究成果與美國國際政治經濟學會年會文章在研究議題與研究方法上的差異。本研究分析顯示,國內國際政治經濟學研究與美國國際政治經濟學會年會文章同樣關注議題為國際貿易、國際貨幣與金融和經濟投資與援助。然而相較之下,國內研究較缺乏人口遷徙、全球..
This paper attempts to provide an overview of Taiwan's International Political Economy (IPE) studies from 2010-2021. We collect the data from Taiwanese academic materials, including Taiwan Social Sciences Citation Index (TSSCI) journals, Ministry of Science and Technology projects, theses and dissertations, and scholarly books. We rely on descriptive statistics analysis to present the distribution of research subjects and methods in each academic material. In addition, we also compare the analytical results of Taiwanese IPE studies with..
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