IVOD_ID |
159828 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159828 |
日期 |
2025-03-31 |
會議資料.會議代碼 |
委員會-11-3-19-6 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第6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 |
6 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第3會期經濟委員會第6次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-31T12:14:43+08:00 |
結束時間 |
2025-03-31T12:21:10+08:00 |
影片長度 |
00:06:27 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/22902bedf9a457e50eef4207351ce5a9ab992d8b3314b7460a011cf12bb0213787e74d03d353af155ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
葉元之 |
委員發言時間 |
12:14:43 - 12:21:10 |
會議時間 |
2025-03-31T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第6次全體委員會議(事由:邀請經濟部部長、農業部部長、內政部首長及國家科學及技術委員會首長就「2025年防洪抗旱計畫」進行報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
11.01659375 |
transcript.pyannote[0].end |
13.00784375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
13.36221875 |
transcript.pyannote[1].end |
13.93596875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
20.56784375 |
transcript.pyannote[2].end |
20.80409375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
21.47909375 |
transcript.pyannote[3].end |
24.51659375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
21.93471875 |
transcript.pyannote[4].end |
22.39034375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
24.78659375 |
transcript.pyannote[5].end |
30.77721875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
31.11471875 |
transcript.pyannote[6].end |
35.46846875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
35.46846875 |
transcript.pyannote[7].end |
35.50221875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
35.50221875 |
transcript.pyannote[8].end |
36.39659375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
36.39659375 |
transcript.pyannote[9].end |
37.51034375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
37.64534375 |
transcript.pyannote[10].end |
42.60659375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
43.02846875 |
transcript.pyannote[11].end |
54.58784375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
54.60471875 |
transcript.pyannote[12].end |
58.80659375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
59.38034375 |
transcript.pyannote[13].end |
63.16034375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
63.63284375 |
transcript.pyannote[14].end |
65.67471875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
66.01221875 |
transcript.pyannote[15].end |
68.08784375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
68.35784375 |
transcript.pyannote[16].end |
72.20534375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
72.59346875 |
transcript.pyannote[17].end |
76.98096875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
77.33534375 |
transcript.pyannote[18].end |
79.03971875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
79.47846875 |
transcript.pyannote[19].end |
80.59221875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
81.04784375 |
transcript.pyannote[20].end |
81.52034375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
81.62159375 |
transcript.pyannote[21].end |
83.10659375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
83.51159375 |
transcript.pyannote[22].end |
84.43971875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
84.87846875 |
transcript.pyannote[23].end |
86.05971875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
86.31284375 |
transcript.pyannote[24].end |
91.64534375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
92.48909375 |
transcript.pyannote[25].end |
93.63659375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
94.19346875 |
transcript.pyannote[26].end |
97.39971875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
98.10846875 |
transcript.pyannote[27].end |
100.97721875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
101.38221875 |
transcript.pyannote[28].end |
102.10784375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
102.42846875 |
transcript.pyannote[29].end |
106.96784375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
106.96784375 |
transcript.pyannote[30].end |
107.81159375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
108.30096875 |
transcript.pyannote[31].end |
108.31784375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
108.31784375 |
transcript.pyannote[32].end |
122.23971875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
120.94034375 |
transcript.pyannote[33].end |
121.46346875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
122.72909375 |
transcript.pyannote[34].end |
124.28159375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
122.72909375 |
transcript.pyannote[35].end |
135.21659375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
125.78346875 |
transcript.pyannote[36].end |
127.77471875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
135.53721875 |
transcript.pyannote[37].end |
136.95471875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
137.25846875 |
transcript.pyannote[38].end |
141.10596875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
141.34221875 |
transcript.pyannote[39].end |
146.38784375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
146.38784375 |
transcript.pyannote[40].end |
146.40471875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
147.36659375 |
transcript.pyannote[41].end |
147.61971875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
147.61971875 |
transcript.pyannote[42].end |
147.63659375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
147.97409375 |
transcript.pyannote[43].end |
148.02471875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
148.02471875 |
transcript.pyannote[44].end |
148.69971875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
148.95284375 |
transcript.pyannote[45].end |
158.75721875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
158.92596875 |
transcript.pyannote[46].end |
166.60409375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
166.62096875 |
transcript.pyannote[47].end |
168.24096875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
168.67971875 |
transcript.pyannote[48].end |
170.43471875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
170.73846875 |
transcript.pyannote[49].end |
171.93659375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
172.29096875 |
transcript.pyannote[50].end |
175.17659375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
175.46346875 |
transcript.pyannote[51].end |
181.16721875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
181.52159375 |
transcript.pyannote[52].end |
184.99784375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
185.41971875 |
transcript.pyannote[53].end |
186.44909375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
185.45346875 |
transcript.pyannote[54].end |
189.97596875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
190.27971875 |
transcript.pyannote[55].end |
191.78159375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
190.51596875 |
transcript.pyannote[56].end |
192.40596875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
192.70971875 |
transcript.pyannote[57].end |
196.87784375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
197.01284375 |
transcript.pyannote[58].end |
197.02971875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
197.02971875 |
transcript.pyannote[59].end |
198.68346875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
198.95346875 |
transcript.pyannote[60].end |
201.85596875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
202.19346875 |
transcript.pyannote[61].end |
206.81721875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
207.13784375 |
transcript.pyannote[62].end |
211.00221875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
211.23846875 |
transcript.pyannote[63].end |
216.92534375 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
217.16159375 |
transcript.pyannote[64].end |
220.23284375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
220.50284375 |
transcript.pyannote[65].end |
222.71346875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
223.27034375 |
transcript.pyannote[66].end |
227.96159375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
229.37909375 |
transcript.pyannote[67].end |
230.94846875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
229.80096875 |
transcript.pyannote[68].end |
233.61471875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
231.10034375 |
transcript.pyannote[69].end |
231.11721875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
231.18471875 |
transcript.pyannote[70].end |
246.59159375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
246.60846875 |
transcript.pyannote[71].end |
259.63596875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
259.83846875 |
transcript.pyannote[72].end |
260.95221875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
261.27284375 |
transcript.pyannote[73].end |
266.63909375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
266.82471875 |
transcript.pyannote[74].end |
268.10721875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
268.63034375 |
transcript.pyannote[75].end |
269.96346875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
269.96346875 |
transcript.pyannote[76].end |
270.46971875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
270.46971875 |
transcript.pyannote[77].end |
270.97596875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
270.97596875 |
transcript.pyannote[78].end |
271.16159375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
271.16159375 |
transcript.pyannote[79].end |
271.71846875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
271.71846875 |
transcript.pyannote[80].end |
271.81971875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
272.25846875 |
transcript.pyannote[81].end |
272.30909375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
272.30909375 |
transcript.pyannote[82].end |
272.32596875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
272.32596875 |
transcript.pyannote[83].end |
275.26221875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
273.91221875 |
transcript.pyannote[84].end |
279.22784375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
275.36346875 |
transcript.pyannote[85].end |
276.52784375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
279.98721875 |
transcript.pyannote[86].end |
282.40034375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
282.61971875 |
transcript.pyannote[87].end |
285.92721875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
285.92721875 |
transcript.pyannote[88].end |
289.63971875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
285.94409375 |
transcript.pyannote[89].end |
287.39534375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
290.02784375 |
transcript.pyannote[90].end |
297.72284375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
297.16596875 |
transcript.pyannote[91].end |
297.19971875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
297.30096875 |
transcript.pyannote[92].end |
297.35159375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
298.49909375 |
transcript.pyannote[93].end |
308.08409375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
299.29221875 |
transcript.pyannote[94].end |
299.66346875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
302.46471875 |
transcript.pyannote[95].end |
302.97096875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
305.73846875 |
transcript.pyannote[96].end |
310.41284375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
310.58159375 |
transcript.pyannote[97].end |
314.95221875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
315.23909375 |
transcript.pyannote[98].end |
316.97721875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
316.97721875 |
transcript.pyannote[99].end |
321.98909375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
321.80346875 |
transcript.pyannote[100].end |
330.37596875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
331.18596875 |
transcript.pyannote[101].end |
331.28721875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
331.28721875 |
transcript.pyannote[102].end |
339.13409375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
339.64034375 |
transcript.pyannote[103].end |
342.03659375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
342.27284375 |
transcript.pyannote[104].end |
350.08596875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
345.02346875 |
transcript.pyannote[105].end |
346.06971875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
348.93846875 |
transcript.pyannote[106].end |
354.37221875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
352.43159375 |
transcript.pyannote[107].end |
365.99909375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
355.84034375 |
transcript.pyannote[108].end |
358.69221875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
366.21846875 |
transcript.pyannote[109].end |
368.22659375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
369.17159375 |
transcript.pyannote[110].end |
371.55096875 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
371.78721875 |
transcript.pyannote[111].end |
373.98096875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
372.96846875 |
transcript.pyannote[112].end |
375.17909375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
375.71909375 |
transcript.pyannote[113].end |
382.28346875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
375.87096875 |
transcript.pyannote[114].end |
377.52471875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
382.68846875 |
transcript.pyannote[115].end |
383.97096875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
384.35909375 |
transcript.pyannote[116].end |
385.00034375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
387.21096875 |
transcript.pyannote[117].end |
388.42596875 |
transcript.whisperx[0].start |
11.018 |
transcript.whisperx[0].end |
13.401 |
transcript.whisperx[0].text |
麻煩請進一步次長 謝謝賴次長委員好我剛剛有看您的詢問你是提到說我們現在的水費還不確定會不會漲對不對 |
transcript.whisperx[1].start |
31.195 |
transcript.whisperx[1].end |
58.109 |
transcript.whisperx[1].text |
要看評估報告我們總體專業的來審視之後再來說還不確定但因為這幾天那個水價要不要漲的消息已經滿天飛了我有看到有的報導是說水價平均漲幅兩成六三成四成都有還講說那個水價可能會影響到七百多萬這都是我看到的報導但我因為我這樣問的問題是因為我很怕他會跟那個電價 |
transcript.whisperx[2].start |
59.995 |
transcript.whisperx[2].end |
75.968 |
transcript.whisperx[2].text |
電價是現在確定上週是動漲嘛對吧可是因為現在的物價因為大家有一個預期的心態就認為說本來以為是電價會漲所以很多像一些餐廳啊或者是很多產業它都已經漲價了 |
transcript.whisperx[3].start |
77.389 |
transcript.whisperx[3].end |
91.381 |
transcript.whisperx[3].text |
它是一個反映一個預期心態然後結果現在動漲表示說店價不漲了不漲了可是很多餐廳漲了它預期漲上去之後它不會調降下來因為那個物價有僵固性 |
transcript.whisperx[4].start |
92.56 |
transcript.whisperx[4].end |
121.382 |
transcript.whisperx[4].text |
所以我是想要跟經濟部提醒一下像類似這樣的消息是不是可以等到確定的時候再對外說明不要造成大家的這種預期心理然後造成物價波動不知道可不可以這個當然是沒有問題的因為這個物價的波動影響我們的民生所以基本上我們也期待委員運用你的影響力因為這個媒體報導所刊的並不是我們的方案而是這個 |
transcript.whisperx[5].start |
123.444 |
transcript.whisperx[5].end |
146.207 |
transcript.whisperx[5].text |
運用我的影響力應該是因為是你們的影響力我們當然也會做這個部分因為我今天在委員會裡面說明了多次那我們也請台水公司包括水利署甚至我們國營國營司來一起就這個問題慎重的來檢討那當然還沒有檢討之前的話任何現在媒體的報導都不是我們的方案 |
transcript.whisperx[6].start |
147.383 |
transcript.whisperx[6].end |
175.078 |
transcript.whisperx[6].text |
好 第二個喔 那個上週電價的那個委員會啊還包括那個經營部你們對外的說明你們是說那個電價 台電虧損的原因是因為主要是因為物料 是成本提高嘛 是不是是的 是嗎但是最近好像我看那個相關的資料來比如說我們進口的煤炭啊 還有天然氣啊他們的那個價格都修正到之前的水準了對吧 都降下來了吧 |
transcript.whisperx[7].start |
175.718 |
transcript.whisperx[7].end |
200.135 |
transcript.whisperx[7].text |
沒有沒有沒有沒有嗎現在我們電價審議委員會就所謂的電的發電主要的燃料不管是電我今天看到全球主要天然氣的期貨價格還有進口的還有那個這個氣價的部分在2020之前是9塊錢到目前為止的話我們預估是用15.4塊錢來預估的 |
transcript.whisperx[8].start |
202.301 |
transcript.whisperx[8].end |
225.025 |
transcript.whisperx[8].text |
然後煤價的部分這2016到2020是80塊現在的話幾乎是120到130塊左右所以還在跟這個戰爭之前還是相對的高檔所以目前為止這個部分的這個價格還是蠻高的那我們現在台電所產生的累積到去年年底4229億的虧損完全是這幾年 |
transcript.whisperx[9].start |
230.114 |
transcript.whisperx[9].end |
259.374 |
transcript.whisperx[9].text |
好 非常出來然後我們吸收這個市長再來我再跟你請教另外一個議題就是現在因為大家現在關心就是美國他們可能會把我們列為就是骯髒15國之一那我之前有問財政部財政部都一直沒有證實因為他說還不確定但是川普現在最新的說法是不管這是不是骯髒15國只要被認為說有貿易障礙或者是有不對等關稅的話通通都會提出一些貿易的相關措施 |
transcript.whisperx[10].start |
259.954 |
transcript.whisperx[10].end |
279.008 |
transcript.whisperx[10].text |
那現在經濟部有針對我們可能受到的影響的產業有做盤點嗎請問一下我們現在比較容易受到產業有哪些基本上我們跟美國的合作是非常的密切的那現在所謂的我的問題很明確啦就是說你們現在盤點的我們可能會受到產業有哪些 |
transcript.whisperx[11].start |
280.171 |
transcript.whisperx[11].end |
290.104 |
transcript.whisperx[11].text |
基本上因為他現在也沒有說明確哪一些的部分是怎麼樣有啊 比如說他現在已經講了像關稅就會調賞那當然你們也有評估過汽車業會不會受影響還有其他的汽車零組件會不會受影響都還沒嗎 都還沒評估 |
transcript.whisperx[12].start |
298.564 |
transcript.whisperx[12].end |
313.575 |
transcript.whisperx[12].text |
有做相關情境的模擬跟方案的因應但是最終美國政府在4月2號我知道那所以現在評估比較有可能受到的產業影響的產業有哪些這個部分我們當然有全面性的一個檢討 |
transcript.whisperx[13].start |
315.436 |
transcript.whisperx[13].end |
338.642 |
transcript.whisperx[13].text |
不是啦 我在問你問題耶不是 你也沒有在全面檢討我知道你有檢討才問你嘛你現在受到影響的產業有哪些就是那種委員說說的啦因為不確定的因素我們先講的話那造成的預期心理那不是造成一些不必要的恐慌嗎不是你這樣講我就覺得你好像沒評估耶我剛剛看新聞好像說昨天沒有相關的部會還跟總統去做報告 |
transcript.whisperx[14].start |
339.704 |
transcript.whisperx[14].end |
368.09 |
transcript.whisperx[14].text |
但是今天好像你也講不太出來所以如果你講不太出來的話那你做報告那這個報告有什麼只是讓大家感覺你有做事但實際上有沒有做我們有評估有配套可是我跟委員說我光是在新聞上看到的都比你講的多了包括汽車產業可能媒體報導講說汽車產業可能不會受太大的影響但是有一些汽車零組件比如說有的分析師指出有22項都有受到影響他們講的都比你還要多了 |
transcript.whisperx[15].start |
369.249 |
transcript.whisperx[15].end |
384.583 |
transcript.whisperx[15].text |
所以你到底是有評估還是沒評估是 確實是有的確實是有 那是 只是不能講是不是有這些 我們最後看到這個4月2號出來的結果當然我們以氣熱的配套措施就會立刻公佈是不是好 謝謝好 謝謝 |