環保專案成果報告查詢系統

專案計畫編號
經費年度	112
計畫經費	4,000 千元
預算科目	補助及獎勵回收清除處理暨再生利用
專案開始日期	2023/02/18
專案結束日期	2023/11/30
專案主持人	林宗昱
主辦單位	循環署回收基金管理會
承辦人	林高正
執行單位	財團法人中華經濟研究院
專案分類	資源循環
中文關鍵字	廢紙價格、廢鐵價格、資源回收
英文關鍵字	Scrap iron price analysis, Waste paper price analysis, Recycling
協同主持人
共同主持人
計畫聯絡人	張軒瑜
計畫聯絡電話	02-27356006#427
計畫聯絡信箱	hychang@cier.edu.tw

中文摘要	為了維持國內回收處理市場穩定，本計畫目標在於建置決策模型，即時掌握及監控廢紙類及廢鐵類相關價量的變化。由於前期計畫中已完成廢紙及廢鐵收購價與其原物料價格、國際收購價及相關商品價格之分析，因此，本期計畫除了精進前期分析成果外，更著重於資料庫與儀表板之建立，以便在計畫結束後持續利用。本計畫首先完成資料範疇界定及資料來源確認，並已將大部分資料用自動擷取的方式，建置至資料庫中，以利儀表板呈現及分析使用。資料庫涵蓋內容包含：廢紙與廢鐵收購價及其相關價格、製造業採購經理人指數（PMI）、外幣參考匯率、相關上市上櫃公司營收資料、海關進出口資料、執行機關資源回收量及苗栗縣環保局參考價格資料等。其次，完成輔助決策儀表板之版面設計與系統資料庫之介接，開發廢紙類與廢鐵類回收資訊模型所需使用原始數據的API以介接統計分析軟體，建置廢紙與廢鐵價格預測趨勢、設定告警功能。並以CIP商品行情網的資料統計分析，呈現廢紙與廢鐵之價格調查趨勢。除了更新廢紙類及廢鐵類相關價格資料及趨勢分析外，本計畫也根據前述工項所整理之更新資料，進一步優化預測模型，並完成廢紙類及廢鐵類資收價格未來三個月的預測模型，並根據預測值給予警示及因應措施建議。
中文關鍵字	廢紙價格、廢鐵價格、資源回收

中文摘要

為了維持國內回收處理市場穩定，本計畫目標在於建置決策模型，即時掌握及監控廢紙類及廢鐵類相關價量的變化。由於前期計畫中已完成廢紙及廢鐵收購價與其原物料價格、國際收購價及相關商品價格之分析，因此，本期計畫除了精進前期分析成果外，更著重於資料庫與儀表板之建立，以便在計畫結束後持續利用。本計畫首先完成資料範疇界定及資料來源確認，並已將大部分資料用自動擷取的方式，建置至資料庫中，以利儀表板呈現及分析使用。資料庫涵蓋內容包含：廢紙與廢鐵收購價及其相關價格、製造業採購經理人指數（PMI）、外幣參考匯率、相關上市上櫃公司營收資料、海關進出口資料、執行機關資源回收量及苗栗縣環保局參考價格資料等。其次，完成輔助決策儀表板之版面設計與系統資料庫之介接，開發廢紙類與廢鐵類回收資訊模型所需使用原始數據的API以介接統計分析軟體，建置廢紙與廢鐵價格預測趨勢、設定告警功能。並以CIP商品行情網的資料統計分析，呈現廢紙與廢鐵之價格調查趨勢。除了更新廢紙類及廢鐵類相關價格資料及趨勢分析外，本計畫也根據前述工項所整理之更新資料，進一步優化預測模型，並完成廢紙類及廢鐵類資收價格未來三個月的預測模型，並根據預測值給予警示及因應措施建議。

中文關鍵字

廢紙價格、廢鐵價格、資源回收

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	112年創新補助期末報告_v9_送印後修正版 (加封底).pdf	4MB	期末定稿	2024/1/1 上午 12:00:00

摘要	To maintain stability in the domestic recycling market, the objective of this project is to establish a model for decision making that can promptly grasp and monitor the fluctuations in the prices and quantities of waste paper and scrap metal. As the analysis of the relationship between the purchase prices of waste paper and scrap metal and their raw material prices, international purchase prices, and related commodity prices has been completed in the previous project last year, the current project focuses not only on enhancing the models of the preliminary analysis, but also on the establishment of a database and dashboard to facilitate ongoing utilization by the Recycling Fund Management Board after the project concludes. This project begins by first defining the scope of data and confirming data sources. The majority of data has been extracted automatically and populated into a database to facilitate dashboard presentation and analysis. The database encompasses various content, including the purchase prices of waste paper and scrap iron, along with their related pricing, the Purchasing Managers' Index (PMI) for the manufacturing industry, foreign exchange reference rates, revenue data from relevant publicly listed and OTC companies, customs import and export data, resource recycling volumes from implementing agencies, and price reference data from the Miaoli County Environmental Protection Bureau. Subsequently, the layout design for the decision support dashboard is completed, and integration with the system database is established. APIs are developed to access the raw data needed for waste paper and scrap iron recycling information models, which are then integrated with statistical analysis software. This facilitates the creation of waste paper and scrap iron pricing trend predictions and the setup of alert functions. Market data from the CIP Commodity Market is used for statistical analysis, presenting pricing investigation trends for waste paper and scrap iron. In addition to updating pricing data and trend analysis for waste paper and scrap iron, optimization of the prediction models is conducted based on the aforementioned tasks. This results in the completion of predictive models for waste paper and scrap iron pricing for the next three months, along with recommendations for alerts and responsive measures based on the forecasted values.
英文關鍵字	Scrap iron price analysis, Waste paper price analysis, Recycling

摘要

To maintain stability in the domestic recycling market, the objective of this project is to establish a model for decision making that can promptly grasp and monitor the fluctuations in the prices and quantities of waste paper and scrap metal. As the analysis of the relationship between the purchase prices of waste paper and scrap metal and their raw material prices, international purchase prices, and related commodity prices has been completed in the previous project last year, the current project focuses not only on enhancing the models of the preliminary analysis, but also on the establishment of a database and dashboard to facilitate ongoing utilization by the Recycling Fund Management Board after the project concludes. This project begins by first defining the scope of data and confirming data sources. The majority of data has been extracted automatically and populated into a database to facilitate dashboard presentation and analysis. The database encompasses various content, including the purchase prices of waste paper and scrap iron, along with their related pricing, the Purchasing Managers' Index (PMI) for the manufacturing industry, foreign exchange reference rates, revenue data from relevant publicly listed and OTC companies, customs import and export data, resource recycling volumes from implementing agencies, and price reference data from the Miaoli County Environmental Protection Bureau. Subsequently, the layout design for the decision support dashboard is completed, and integration with the system database is established. APIs are developed to access the raw data needed for waste paper and scrap iron recycling information models, which are then integrated with statistical analysis software. This facilitates the creation of waste paper and scrap iron pricing trend predictions and the setup of alert functions. Market data from the CIP Commodity Market is used for statistical analysis, presenting pricing investigation trends for waste paper and scrap iron. In addition to updating pricing data and trend analysis for waste paper and scrap iron, optimization of the prediction models is conducted based on the aforementioned tasks. This results in the completion of predictive models for waste paper and scrap iron pricing for the next three months, along with recommendations for alerts and responsive measures based on the forecasted values.

英文關鍵字

Scrap iron price analysis, Waste paper price analysis, Recycling