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.
相對於泰國與馬來西亞,印尼是東南亞最早發展汽車業的國家,也有內需市場支撐,但是印尼並沒有像泰國成為亞洲的底特律,也沒有如馬來西亞建立起國家汽車品牌,而成為「有市場無技術」的「無科技工業化」。本文以政治經濟學領域中的「制度分析」途徑,就國家干預、政商關係、跨國產業分工等三個角度分析印尼汽車產業失靈的原因。受限於印尼政治經濟的結構因素,本文發現印尼汽車產業失靈的原因在於:在產業發展時期國家的干預政策沒有「學習」與「管理」市場;本土資本未建立產業所需相對的供應鏈,..
With respect to Thailand and Malaysia, Indonesia was first in Southeast Asia to develop a automotive industry, supported by the domestic market. But Indonesia did not become the “Detroit of Asia” as Thailand, or establish national brands as Malaysia. On the contrary, Indonesia is a “huge market without technology,” an “Industry Without Industrialization.” This paper adopts an institutionalist approach with three aspects – state intervention, government-business relations, a..
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