IVOD_ID |
159733 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159733 |
日期 |
2025-03-27 |
會議資料.會議代碼 |
委員會-11-3-20-5 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第5次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
5 |
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3會期財政委員會第5次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-27T12:33:56+08:00 |
結束時間 |
2025-03-27T12:39:47+08:00 |
影片長度 |
00:05:51 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ae27c1b40c0db900a819fbd906cd70e81a80f058510e45ac9b62a44c83059aaf1345feb9e96ac4965ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
葉元之 |
委員發言時間 |
12:33:56 - 12:39:47 |
會議時間 |
2025-03-27T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第5次全體委員會議(事由:邀請財政部莊部長翠雲、中央銀行楊總裁金龍、金融監督管理委員會彭主任委員金隆、國家發展委員會劉主任委員鏡清、經濟部郭部長智輝、農業部陳部長駿季就「因應美國川普政府對等關稅策略與我國被列入骯髒十五國名單,我國政府財經相關單位因應策略」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 |
0.41909375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
1.83659375 |
transcript.pyannote[1].end |
7.75971875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
4.45221875 |
transcript.pyannote[2].end |
4.94159375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
8.94096875 |
transcript.pyannote[3].end |
18.59346875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
9.27846875 |
transcript.pyannote[4].end |
9.81846875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
18.77909375 |
transcript.pyannote[5].end |
25.51221875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
26.10284375 |
transcript.pyannote[6].end |
29.12346875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
29.29221875 |
transcript.pyannote[7].end |
44.51346875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
44.83409375 |
transcript.pyannote[8].end |
48.85034375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
49.25534375 |
transcript.pyannote[9].end |
57.55784375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
57.96284375 |
transcript.pyannote[10].end |
58.68846875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
59.32971875 |
transcript.pyannote[11].end |
69.06659375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
70.43346875 |
transcript.pyannote[12].end |
76.40721875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
76.72784375 |
transcript.pyannote[13].end |
77.80784375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
78.39846875 |
transcript.pyannote[14].end |
85.58721875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
85.63784375 |
transcript.pyannote[15].end |
88.23659375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
88.40534375 |
transcript.pyannote[16].end |
91.49346875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
91.78034375 |
transcript.pyannote[17].end |
99.32346875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
94.88534375 |
transcript.pyannote[18].end |
96.38721875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
97.29846875 |
transcript.pyannote[19].end |
97.72034375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
99.44159375 |
transcript.pyannote[20].end |
99.55971875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
99.55971875 |
transcript.pyannote[21].end |
127.97721875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
100.31909375 |
transcript.pyannote[22].end |
104.36909375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
105.78659375 |
transcript.pyannote[23].end |
107.84534375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
128.38221875 |
transcript.pyannote[24].end |
129.07409375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
129.41159375 |
transcript.pyannote[25].end |
132.70221875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
132.80346875 |
transcript.pyannote[26].end |
143.77221875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
143.83971875 |
transcript.pyannote[27].end |
144.75096875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
144.97034375 |
transcript.pyannote[28].end |
147.48471875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
149.17221875 |
transcript.pyannote[29].end |
151.56846875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
151.70346875 |
transcript.pyannote[30].end |
153.03659375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
153.44159375 |
transcript.pyannote[31].end |
156.44534375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
157.86284375 |
transcript.pyannote[32].end |
164.46096875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
158.87534375 |
transcript.pyannote[33].end |
158.97659375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
164.91659375 |
transcript.pyannote[34].end |
165.92909375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
165.94596875 |
transcript.pyannote[35].end |
166.03034375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
166.06409375 |
transcript.pyannote[36].end |
174.46784375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
175.12596875 |
transcript.pyannote[37].end |
176.45909375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
176.57721875 |
transcript.pyannote[38].end |
176.96534375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
176.96534375 |
transcript.pyannote[39].end |
178.09596875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
178.19721875 |
transcript.pyannote[40].end |
178.46721875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
179.07471875 |
transcript.pyannote[41].end |
183.25971875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
180.37409375 |
transcript.pyannote[42].end |
184.71096875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
183.63096875 |
transcript.pyannote[43].end |
204.72471875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
205.04534375 |
transcript.pyannote[44].end |
205.61909375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
205.23096875 |
transcript.pyannote[45].end |
206.95221875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
207.37409375 |
transcript.pyannote[46].end |
207.94784375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
207.84659375 |
transcript.pyannote[47].end |
211.82909375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
211.49159375 |
transcript.pyannote[48].end |
212.21721875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
212.21721875 |
transcript.pyannote[49].end |
216.16596875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
216.68909375 |
transcript.pyannote[50].end |
222.74721875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
223.03409375 |
transcript.pyannote[51].end |
224.33346875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
224.67096875 |
transcript.pyannote[52].end |
227.01659375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
227.60721875 |
transcript.pyannote[53].end |
229.66596875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
229.88534375 |
transcript.pyannote[54].end |
231.85971875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
231.58971875 |
transcript.pyannote[55].end |
236.12909375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
234.86346875 |
transcript.pyannote[56].end |
235.21784375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
235.47096875 |
transcript.pyannote[57].end |
237.86721875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
237.42846875 |
transcript.pyannote[58].end |
241.79909375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
242.76096875 |
transcript.pyannote[59].end |
245.79846875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
244.14471875 |
transcript.pyannote[60].end |
244.56659375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
244.61721875 |
transcript.pyannote[61].end |
244.65096875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
246.10221875 |
transcript.pyannote[62].end |
248.97096875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
248.65034375 |
transcript.pyannote[63].end |
250.70909375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
251.11409375 |
transcript.pyannote[64].end |
253.18971875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
254.30346875 |
transcript.pyannote[65].end |
257.27346875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
255.53534375 |
transcript.pyannote[66].end |
258.50534375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
259.87221875 |
transcript.pyannote[67].end |
261.50909375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
262.06596875 |
transcript.pyannote[68].end |
288.00284375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
270.58784375 |
transcript.pyannote[69].end |
272.83221875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
284.57721875 |
transcript.pyannote[70].end |
291.86721875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
291.74909375 |
transcript.pyannote[71].end |
312.72471875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
301.08096875 |
transcript.pyannote[72].end |
301.57034375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
301.84034375 |
transcript.pyannote[73].end |
303.67971875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
304.28721875 |
transcript.pyannote[74].end |
306.43034375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
312.77534375 |
transcript.pyannote[75].end |
326.37659375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
326.44409375 |
transcript.pyannote[76].end |
328.16534375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
328.36784375 |
transcript.pyannote[77].end |
330.79784375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
330.79784375 |
transcript.pyannote[78].end |
338.23971875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
338.93159375 |
transcript.pyannote[79].end |
339.40409375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
340.38284375 |
transcript.pyannote[80].end |
340.97346875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
340.97346875 |
transcript.pyannote[81].end |
342.96471875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
342.96471875 |
transcript.pyannote[82].end |
343.25159375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
343.25159375 |
transcript.pyannote[83].end |
343.31909375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
343.62284375 |
transcript.pyannote[84].end |
344.24721875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
344.24721875 |
transcript.pyannote[85].end |
344.28096875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
344.28096875 |
transcript.pyannote[86].end |
344.38221875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
344.38221875 |
transcript.pyannote[87].end |
344.63534375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
344.92221875 |
transcript.pyannote[88].end |
344.93909375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
344.93909375 |
transcript.pyannote[89].end |
345.41159375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
345.41159375 |
transcript.pyannote[90].end |
345.44534375 |
transcript.whisperx[0].start |
2.109 |
transcript.whisperx[0].end |
23.794 |
transcript.whisperx[0].text |
部長好 我記得上禮拜我們在這邊問你這個骯髒失誤國當時新聞有出來啦 可是部長沒有掌握到那個訊息但是你有提到 我們財政部或相關部會都有做好準備都已經盤點了相關的資料 |
transcript.whisperx[1].start |
26.155 |
transcript.whisperx[1].end |
48.429 |
transcript.whisperx[1].text |
那我先來問大家一個態度的問題假設台灣被列為骯髒15國那骯髒畢竟不是一個好聽的詞啦那美國他把我們列為骯髒15國主要是說他覺得這些15國對美國有不公平的貿易對待所以才會用骯髒這個字那我非常肯定楊金榮總裁他雖然今天沒有來 |
transcript.whisperx[2].start |
49.289 |
transcript.whisperx[2].end |
68.626 |
transcript.whisperx[2].text |
他直接說 他說從對等關稅的角度來看台美是互補關係不是不公平貿易代表說如果美國把我們列為當中15國我們應該要表達我們的一些不同意的態度而不是說他列了我們就完全覺得他講的是對的請問一下部長你的態度是怎麼樣 |
transcript.whisperx[3].start |
70.492 |
transcript.whisperx[3].end |
88.043 |
transcript.whisperx[3].text |
你覺得我們是不是骯髒十五國骯髒嗎?這個是公平貿易嗎?這是不公平貿易嗎?第一個骯髒十五國它到底列的哪些國家並沒有名列那是路透社的一個報導它把一些跟美國貿易比較大的部分 |
transcript.whisperx[4].start |
88.676 |
transcript.whisperx[4].end |
98.9 |
transcript.whisperx[4].text |
把它列進去這是第一個所以人家骯髒十五國演並還沒有名列出名我知道第一個我們也不認為我們會是骯髒啊所以你正不贊成楊金龍總裁講的貿易是一個互補的關係互補嘛不是不公平貿易啦所以我們對於假設被列為這個骯髒十五國我覺得政府應該有個態度啦 |
transcript.whisperx[5].start |
114.105 |
transcript.whisperx[5].end |
138.784 |
transcript.whisperx[5].text |
那我是看到其他國家都有一些反應譬如說歐盟對於川普可能會加關稅這件事情歐盟就表達遺憾啦他說歐盟會進行整體的評估也會提出因應的策略那加拿大加拿大現在要拿特斯拉開刀啦就只要美國如果有加關稅的話就會用不補助特斯拉來當作抵制 |
transcript.whisperx[6].start |
139.344 |
transcript.whisperx[6].end |
156.186 |
transcript.whisperx[6].text |
那為什麼呢 因為當然是可能就衝著馬斯克來馬斯克現在是川普的重要的幫手啦那越南的部分呢 他是會降低部分的產業的關稅那我想問一下部長 我們現在的因應之道是什麼 |
transcript.whisperx[7].start |
158.736 |
transcript.whisperx[7].end |
175.829 |
transcript.whisperx[7].text |
對於川普政府這邊的相關的一些關稅策略其實我們都有密切的關注那也有跨部會的會議在行政院有一個經貿工作小組做密切的討論所以我們會有相關的策略你沒有回答問題部長沒有回答問題 |
transcript.whisperx[8].start |
179.17 |
transcript.whisperx[8].end |
206.135 |
transcript.whisperx[8].text |
什麼事?你沒有人要回答我?我只是質詢你你這是什麼態度啊?問題是什麼態度?我剛剛講了像比如說像加拿大他們都很具體嘛他說要拿特斯拉開刀啊越南他們說他們要降部分關稅嘛那我現在問你是說我們這邊的因應策略是什麼?那你沒有回答問題啊你講的只是說我們有關注啊我們有開會啊那我現在是問說那你們的策略是什麼?然後我說你沒有回答問題你說是 |
transcript.whisperx[9].start |
207.916 |
transcript.whisperx[9].end |
228.394 |
transcript.whisperx[9].text |
部長我覺得官員來這邊不要用這種傲慢的態度好不好今天如果說你能夠讓大家都很安心的話不會每個委員在問這個問題嘛那就是你講的東西讓人家覺得說你是沒有準備好所以大家才會來問那結果你的態度就是我沒有評估啊然後我問你說你沒有講你還說是 |
transcript.whisperx[10].start |
230.135 |
transcript.whisperx[10].end |
258.28 |
transcript.whisperx[10].text |
我還要往下講啊 委員你剛剛就沒有要講 就是是是 你是什麼 為什麼要那麼傲慢我覺得跟委員報告能不能像是看那個王世堅委員在質詢你的時候說你恃寵而驕跟委員報告說你這樣看你這個態度就是這個樣子啊對委員我們都是絕對的尊重那什麼叫做你沒有回答問題 是那個態度就是我就是沒有要回答 怎麼樣我想您是誤會了我沒有誤會 剛剛的態度通過直播大家都看得很清楚 |
transcript.whisperx[11].start |
260.013 |
transcript.whisperx[11].end |
261.218 |
transcript.whisperx[11].text |
請問一下你們現在的因應策略是什麼 |
transcript.whisperx[12].start |
262.076 |
transcript.whisperx[12].end |
279.802 |
transcript.whisperx[12].text |
我們的因應策略其實部會裡面的報告也都有提到對於產業的一個可能性的一些因應都有做那當然後續還是沒有回答我們會根據後面的一些更確定的一些方向比如說對哪一些產品以及對哪一些國家課徵怎麼樣的一個關稅在這個裡面我們的經貿辦公室這邊也會跟國際相關的一些協商現在要提高那個汽車關稅你們的評估是沒有影響的對不對 |
transcript.whisperx[13].start |
292.226 |
transcript.whisperx[13].end |
306.242 |
transcript.whisperx[13].text |
也跟委員報告我們的汽車出口到美國的是大概不到1億的美元那主要是1000CC以下的越野沙灘車所以是覺得影響不大另外就是他提到提高25%的關稅裡面並不包含這個越野沙灘車在裡面 |
transcript.whisperx[14].start |
312.81 |
transcript.whisperx[14].end |
338.959 |
transcript.whisperx[14].text |
好那請問一下你有去調查說有沒有可能台灣有一些汽車零件的供應商比如說車燈啊排氣管啊他可能是賣到其他國家然後這些國家的車子呢再賣到美國去那因為美國可能提高關稅讓我們的汽車零組件的供應商受到影響這個部分有去評估嗎這個部分對於產業的一個衝擊以及跟相關產業的一個互相交流那經濟部都有持續在進行好謝謝 |
transcript.whisperx[15].start |
340.104 |
transcript.whisperx[15].end |
345.259 |
transcript.whisperx[15].text |
好 謝謝葉文哲委員的資訊我們剛剛宣布了 休息五分鐘 馬上回來 |