隨著世界經濟和科技的發展，全球對資源的需求不斷增加，這對有限的自然資源造成了相當大的負擔。 台灣是一個自然資源稀缺的國家，根據海關屬公布之數據，2022年外貿依存度達到118.5%，其中進口依存度為55.9%，出口依存度達62.6%，可見台灣是一個高度依賴貿易且出口風氣盛行的國家。 因此，為避免因國際形勢或價格等原因造成的資源短缺，如何配置資源就成為一個重要的問題。

本研究希望運用物質足跡資料收集與計算，分析國內各行業基礎基礎原料(Raw Material)使用的概況，從而了解基礎原料使用的流向和數量。希望相關企業或政府能根據這些數據，找到潛在的污染源，或是基礎原料消耗熱點，從而做出相應的物質投入規劃或是改進計劃。

本研究主要使用Exiobase V3.8數據庫之數據，配合國內農產、礦業土石開採、及進口之基礎原料，並參考國內公佈的行業關聯表，梳理國內各行業之間的相互依存關係。接著根據歐盟公佈的物質足跡（MF）計算公式，計算進出口的基礎原料當量（RME），即實際投入各行業中的基礎原料量，分析基礎原料在各行業的使用量分布與供需關係。

本研究計算我國之物質足跡後發現，金屬項目資源占物質足跡之貢獻最大，即台灣產業對全球供應鏈消耗之基礎原料種類，以金屬之物質足跡為最高，其原因在於台灣主要出口商品為電子、資通訊設備等高科技產品，同時也有不少工業產品之進出口，致使台灣對於金屬物料之高需求度，再加上國內缺乏金屬礦產與能源礦產，因此造就了該現象。

With the development of world economy and technology, the global demand for resources is increasing, which is a considerable burden on limited natural resources. Taiwan is a country with scarce natural resources. According to the data of the general database, the dependence on foreign trade in 2022 will be 118.5%, and the dependence on imports will be 55.9%, showing that Taiwan is a country highly dependent on imports. Therefore, in order to avoid resource shortages caused by international situations or prices, how to allocate resources has become an important issue.
This study mainly uses the domestically published industry association table, and refers to the data of the Exiobase 3 database to sort out the interdependence relationship among various domestic industries. Then, according to the material footprint (MF) calculation formula announced by the European Union, calculate the raw materials equivalent (RME) of imported and exported, and analyze the distribution of materials in various industries. The current results show that high-tech industries such as the metal industry and the electronics industry, as well as processing industries, mainly export, while relatively basic industries mainly imports.
Through the analysis of material footprint, this research hopes to analyze the general situation of material use in domestic industries, so as to understand the flow and quantity of material use. It is hoped that relevant enterprises or governments can find potential sources of pollution based on these data, so as to make corresponding material input planning or improvement plans.

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