| IVOD_ID |
168489 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/168489 |
| 日期 |
2026-04-13 |
| 會議資料.會議代碼 |
委員會-11-5-20-7 |
| 會議資料.會議代碼:str |
第11屆第5會期財政委員會第7次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 會議資料.會次 |
7 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
20 |
| 會議資料.委員會代碼:str[0] |
財政委員會 |
| 會議資料.標題 |
第11屆第5會期財政委員會第7次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-04-13T12:13:03+08:00 |
| 結束時間 |
2026-04-13T12:19:53+08:00 |
| 影片長度 |
00:06:50 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5655ee4938da65e119144de723f50fc7e63d9eaeca1783e3c80866d4b6cb3fd6e4b6af63088ab7755ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鍾佳濱 |
| 委員發言時間 |
12:13:03 - 12:19:53 |
| 會議時間 |
2026-04-13T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期財政委員會第7次全體委員會議(事由:邀請行政院主計總處陳主計長淑姿、中央銀行、國家發展委員會、經濟部率台灣電力股份有限公司董事長及台灣中油股份有限公司董事長、衛生福利部、法務部就「中東衝突對能源、物價、民生與醫療物資供應及市場秩序之中長期影響與因應檢討,暨因應國際情勢強化經濟社會及民生國安韌性特別預算執行情形」進行專題報告,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
0.33471875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
11.69159375 |
| transcript.pyannote[1].end |
15.01596875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
15.08346875 |
| transcript.pyannote[2].end |
16.63596875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
18.03659375 |
| transcript.pyannote[3].end |
19.38659375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
19.90971875 |
| transcript.pyannote[4].end |
27.41909375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
28.98846875 |
| transcript.pyannote[5].end |
29.64659375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
30.25409375 |
| transcript.pyannote[6].end |
30.72659375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
31.57034375 |
| transcript.pyannote[7].end |
74.98971875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
75.41159375 |
| transcript.pyannote[8].end |
78.28034375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
78.36471875 |
| transcript.pyannote[9].end |
89.35034375 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
89.51909375 |
| transcript.pyannote[10].end |
101.02784375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
100.43721875 |
| transcript.pyannote[11].end |
105.07784375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
105.33096875 |
| transcript.pyannote[12].end |
107.64284375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
107.87909375 |
| transcript.pyannote[13].end |
111.06846875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
111.18659375 |
| transcript.pyannote[14].end |
113.04284375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
113.12721875 |
| transcript.pyannote[15].end |
129.15846875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
129.56346875 |
| transcript.pyannote[16].end |
130.42409375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
130.42409375 |
| transcript.pyannote[17].end |
130.62659375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
130.62659375 |
| transcript.pyannote[18].end |
131.09909375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
131.74034375 |
| transcript.pyannote[19].end |
134.44034375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
134.94659375 |
| transcript.pyannote[20].end |
135.36846875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
135.53721875 |
| transcript.pyannote[21].end |
136.11096875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
136.70159375 |
| transcript.pyannote[22].end |
137.12346875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
137.96721875 |
| transcript.pyannote[23].end |
138.00096875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
138.00096875 |
| transcript.pyannote[24].end |
138.74346875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
138.10221875 |
| transcript.pyannote[25].end |
139.14846875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
139.40159375 |
| transcript.pyannote[26].end |
140.19471875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
140.68409375 |
| transcript.pyannote[27].end |
157.98096875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
158.09909375 |
| transcript.pyannote[28].end |
167.83596875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
168.32534375 |
| transcript.pyannote[29].end |
169.45596875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
169.82721875 |
| transcript.pyannote[30].end |
170.65409375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
170.75534375 |
| transcript.pyannote[31].end |
175.54784375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
175.68284375 |
| transcript.pyannote[32].end |
178.46721875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
178.77096875 |
| transcript.pyannote[33].end |
183.14159375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
183.19221875 |
| transcript.pyannote[34].end |
186.29721875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
186.90471875 |
| transcript.pyannote[35].end |
191.59596875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
191.74784375 |
| transcript.pyannote[36].end |
204.79221875 |
| transcript.pyannote[37].speaker |
SPEAKER_02 |
| transcript.pyannote[37].start |
206.05784375 |
| transcript.pyannote[37].end |
210.25971875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
207.81284375 |
| transcript.pyannote[38].end |
208.89284375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
210.25971875 |
| transcript.pyannote[39].end |
211.66034375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
211.96409375 |
| transcript.pyannote[40].end |
212.57159375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
213.28034375 |
| transcript.pyannote[41].end |
217.81971875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
218.14034375 |
| transcript.pyannote[42].end |
218.79846875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
219.15284375 |
| transcript.pyannote[43].end |
219.97971875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
220.95846875 |
| transcript.pyannote[44].end |
221.92034375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
222.66284375 |
| transcript.pyannote[45].end |
227.37096875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
227.65784375 |
| transcript.pyannote[46].end |
234.45846875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
234.69471875 |
| transcript.pyannote[47].end |
236.55096875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
236.82096875 |
| transcript.pyannote[48].end |
238.93034375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
239.85846875 |
| transcript.pyannote[49].end |
240.17909375 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
240.17909375 |
| transcript.pyannote[50].end |
240.21284375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
240.21284375 |
| transcript.pyannote[51].end |
241.10721875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
241.93409375 |
| transcript.pyannote[52].end |
254.79284375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
255.45096875 |
| transcript.pyannote[53].end |
255.90659375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
255.90659375 |
| transcript.pyannote[54].end |
262.42034375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
262.82534375 |
| transcript.pyannote[55].end |
266.68971875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
266.70659375 |
| transcript.pyannote[56].end |
278.97471875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
279.14346875 |
| transcript.pyannote[57].end |
285.84284375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
286.23096875 |
| transcript.pyannote[58].end |
286.95659375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
288.25596875 |
| transcript.pyannote[59].end |
311.79659375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
312.16784375 |
| transcript.pyannote[60].end |
317.36534375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
317.48346875 |
| transcript.pyannote[61].end |
322.15784375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
322.49534375 |
| transcript.pyannote[62].end |
324.68909375 |
| transcript.pyannote[63].speaker |
SPEAKER_02 |
| transcript.pyannote[63].start |
325.00971875 |
| transcript.pyannote[63].end |
329.44784375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
327.25409375 |
| transcript.pyannote[64].end |
328.87409375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
330.12284375 |
| transcript.pyannote[65].end |
338.34096875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
338.66159375 |
| transcript.pyannote[66].end |
344.21346875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
344.33159375 |
| transcript.pyannote[67].end |
347.53784375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
348.60096875 |
| transcript.pyannote[68].end |
349.64721875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
350.49096875 |
| transcript.pyannote[69].end |
351.35159375 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
353.02221875 |
| transcript.pyannote[70].end |
355.28346875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
354.69284375 |
| transcript.pyannote[71].end |
358.77659375 |
| transcript.pyannote[72].speaker |
SPEAKER_02 |
| transcript.pyannote[72].start |
358.45596875 |
| transcript.pyannote[72].end |
361.44284375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
361.52721875 |
| transcript.pyannote[73].end |
362.80971875 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
361.61159375 |
| transcript.pyannote[74].end |
363.11346875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
363.46784375 |
| transcript.pyannote[75].end |
366.47159375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
366.35346875 |
| transcript.pyannote[76].end |
366.45471875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
366.47159375 |
| transcript.pyannote[77].end |
372.88409375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
373.13721875 |
| transcript.pyannote[78].end |
378.94221875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
376.44471875 |
| transcript.pyannote[79].end |
383.78534375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
383.90346875 |
| transcript.pyannote[80].end |
384.49409375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
384.76409375 |
| transcript.pyannote[81].end |
394.07909375 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
392.57721875 |
| transcript.pyannote[82].end |
411.03846875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
395.49659375 |
| transcript.pyannote[83].end |
396.49221875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
398.98971875 |
| transcript.pyannote[84].end |
402.01034375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
405.38534375 |
| transcript.pyannote[85].end |
407.30909375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
407.30909375 |
| transcript.pyannote[86].end |
407.66346875 |
| transcript.whisperx[0].start |
11.874 |
| transcript.whisperx[0].end |
27.065 |
| transcript.whisperx[0].text |
主席 再訪委員 先進列席的政務機關首長 官員 會長 工作夥伴媒體記者女士先生喂 這聲音比較大一點好 邀請我們主計總署陳主計長國發會高副主委經濟部賴次長以及衛福部的林次長 |
| transcript.whisperx[1].start |
29.011 |
| transcript.whisperx[1].end |
53.998 |
| transcript.whisperx[1].text |
委員好主席長好 副主委兩位次長好建供應鏈數據庫因材質量防炒作非常實習的網路流量分配跟使用順位來往下一頁其實就在上週我就質詢了經濟部長跟農業部長還包括了林次長加速改革重要物資的供應鏈現在人家說荷姆茲重啟難解燃煤之急那台灣準備好了嗎 |
| transcript.whisperx[2].start |
54.978 |
| transcript.whisperx[2].end |
74.604 |
| transcript.whisperx[2].text |
是不是我們要建立一個跨部會的重要物資供應鏈的總點檢機制呢我那時候問的時候我說是不是可以就全國的物流業競銷或的資料服務什麼財稅資料呢建立一個競銷或數據資料庫部長比較謹慎他說這個要考慮到我們有沒有營業秘密但是我想請教一下來往下看這四位 |
| transcript.whisperx[3].start |
75.744 |
| transcript.whisperx[3].end |
100.7 |
| transcript.whisperx[3].text |
這個跨部會盤點因材質量譬如說來請問林次長基層藥局拿不到包材你剛也說了醫材短缺那我請教一下你認為這幾個資材包材醫材哪一材比較重要沒有 報告委員我們在這個行政院所主持的品醫物價還有因應中東的這個案子裡面其實長官有才識就是說希望請經濟部優先來供應醫材因為這個部分是就好謝謝 |
| transcript.whisperx[4].start |
101.4 |
| transcript.whisperx[4].end |
128.058 |
| transcript.whisperx[4].text |
大家同意嗎 好 可以 那次長請回來 我們看一下其他三位我們的糧食如果短缺的話 老弱病障然後呢 在第二順位呢 軍營醫護農還有再來呢 才是糧食配給如果是電力的話 國防軍是優先 緊急料 氣質制裁是基礎關鍵建設如果是暫時的物資 先軍需 再供需 再民需農業部在這次遇到的塑膠材料呢 他們有資材經濟部有包材 衛部有醫材 剛剛優先人已經講了接下來請一下經濟部次長來 次長 下一頁 |
| transcript.whisperx[5].start |
131.78 |
| transcript.whisperx[5].end |
157.674 |
| transcript.whisperx[5].text |
台灣哪些原物料高度洋溫進口 有沒有石化電燃氣黃曉玉 鋼鐵原料 稀土金屬 原油煤炭 對不對那這些狀況我問過你們部長我們政府有沒有掌握它的供銷的情況那部長說 這個要去評估 來往下看但是呢 資源有效你們是不是同意 都要建立優先的順序譬如說緊急狀況 原物料上漲短或缺到 |
| transcript.whisperx[6].start |
158.654 |
| transcript.whisperx[6].end |
184.41 |
| transcript.whisperx[6].text |
或缺掉民眾的搶購那如果像以西部文我們有衣裁、有織裁、有包裁、有件裁這些可能都比塑膠的包裝提帶來的重要你同不同意同意對 可是呢民眾直接感受到的我去菜市場沒有塑膠摟嘎啦可是呢其實這些才是我們政府啊不是只看到民眾感受的這些淺藏的才是我們要關注的對不對很好 謝謝來我們現在請下主計長來 |
| transcript.whisperx[7].start |
186.952 |
| transcript.whisperx[7].end |
201.824 |
| transcript.whisperx[7].text |
主計長這邊我們看一下我們現在主計的統計是事後統計我們統計需求但是有沒有可能事前預估就剛剛講的那些我們需要仰賴進口的它的必須性它的優先順位然後去決定配額主計總署有這樣的想法嗎 |
| transcript.whisperx[8].start |
206.704 |
| transcript.whisperx[8].end |
217.089 |
| transcript.whisperx[8].text |
這個部分不是你們的事情是國發會吧是國發會很好來國發會的副主委舌頭都吐出來了來我們看一下來他竟然點名國發會來問國發會國發會來往下一題 |
| transcript.whisperx[9].start |
221.505 |
| transcript.whisperx[9].end |
238.824 |
| transcript.whisperx[9].text |
副主委在27年前的九一震災的時候沒有實施交通管制跟吊波車道結果那時候很多的物資就原車把高速公路塞住了結果真正的工程搶救上不了高速公路這個你還有印象嗎還是那時候年紀輕年紀還小不記得了 |
| transcript.whisperx[10].start |
240.375 |
| transcript.whisperx[10].end |
254.665 |
| transcript.whisperx[10].text |
有印象啦所以後來我們的災防法我們都訂了7條27條跟30條在緊急狀況之下呢我們的交通管制跟很多的公共道路空間國家會自行優先指配對不對 副主委 |
| transcript.whisperx[11].start |
255.532 |
| transcript.whisperx[11].end |
267.055 |
| transcript.whisperx[11].text |
是的你同意這樣嗎我同意那除了交通的運輸之外我們來看看隔壁不是隔壁啦歐洲的烏克蘭烏克蘭在戰時的時候它網路的運營呢歐洲戰爭它收到什麼DDOS的攻擊它的機體的來摧毀有干擾衛星有電力停工 |
| transcript.whisperx[12].start |
273.797 |
| transcript.whisperx[12].end |
286.627 |
| transcript.whisperx[12].text |
於是他開源改用新鏈設置一道國外他修復趕快修復建立備援跟節點同時他也管制了除了新鏈的白名單之外其他的社群聊天的通通不要讓他上去使用你同意嗎 |
| transcript.whisperx[13].start |
288.241 |
| transcript.whisperx[13].end |
309.617 |
| transcript.whisperx[13].text |
我同意你同意 好 那所以我們往下看非常時期網路流量的分配跟設施使用使用關係要管定所以金管會曾經有一個金融資安任性發展藍圖所謂的兵推那時候金融業的暫時兵推台灣的資安大會也曾經推動一個這是民間辦的 他說要對什麼基礎關鍵設施的維運 數位海峽 資訊安全 去中心化 這麼多請問國發會 |
| transcript.whisperx[14].start |
312.259 |
| transcript.whisperx[14].end |
328.592 |
| transcript.whisperx[14].text |
你們有沒有包括這些除了道路交通的使用的優先順位之外包括網路跟其他的基礎關鍵設施的使用你們也去訂定一個流量跟優先順位我想這個應該不是國發會的主意很好 我都沒有在場的人 |
| transcript.whisperx[15].start |
330.185 |
| transcript.whisperx[15].end |
351.11 |
| transcript.whisperx[15].text |
我是說舉例好 你說是出發部 沒問題我接下來還是由你能事往下看最後呢我要請主席站起來請主席總書針對非常時期我國高度仰賴進口的原物料以及必須性做事前的預估必要的用量推估一個月給一個書面報告可以嗎這是主席總書啊主席長可以嗎 |
| transcript.whisperx[16].start |
354.77 |
| transcript.whisperx[16].end |
382.078 |
| transcript.whisperx[16].text |
你們是統計嘛統計要做積極的統計不要做事後的統計而已但是問題是說他比較偏經濟部你可以跟經濟部會商今天你踢了兩個球一個踢到國發會一個踢到經濟部謝謝委員無論是針對於災害的預防我們有災害準備計畫包括動源物資包括油包括電的部分我們都有相關的對但是不只這些所以我要國發會不要我要主計總署對這些進行一個預估好再來請國發會輪到國發會了國發會 |
| transcript.whisperx[17].start |
384.919 |
| transcript.whisperx[17].end |
403.831 |
| transcript.whisperx[17].text |
我們現在講的不是書發部的書會設施是包括關鍵基礎設施包括公路包括網路包括這些服務設施的使用宣會國發會後續用書面報告來做回覆好不好因為這個涉及的相關部會非常多國發會來彙整其他單位好不好委員希望我們提書面報告我們會請相關部會來提供給我們來彙整謝謝主席 謝謝張偉謝謝張嘉賓委員 |