IVOD_ID |
160704 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160704 |
日期 |
2025-04-28 |
會議資料.會議代碼 |
委員會-11-3-26-8 |
會議資料.會議代碼:str |
第11屆第3會期社會福利及衛生環境委員會第8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 |
8 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
會議資料.標題 |
第11屆第3會期社會福利及衛生環境委員會第8次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-28T10:01:44+08:00 |
結束時間 |
2025-04-28T10:12:35+08:00 |
影片長度 |
00:10:51 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3f76a0bd18e4ae6a534f793dfe9a4b66e7917adb13da21616fd966abe25693d90b94474edbfc61895ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
蘇清泉 |
委員發言時間 |
10:01:44 - 10:12:35 |
會議時間 |
2025-04-28T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期社會福利及衛生環境委員會第8次全體委員會議(事由:邀請環境部部長列席報告業務概況,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
3.92909375 |
transcript.pyannote[0].end |
4.89096875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
5.11034375 |
transcript.pyannote[1].end |
6.15659375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
6.57846875 |
transcript.pyannote[2].end |
7.60784375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
9.83534375 |
transcript.pyannote[3].end |
10.49346875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
11.23596875 |
transcript.pyannote[4].end |
13.46346875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
14.32409375 |
transcript.pyannote[5].end |
22.03596875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
22.42409375 |
transcript.pyannote[6].end |
26.33909375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
24.14534375 |
transcript.pyannote[7].end |
24.68534375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
25.96784375 |
transcript.pyannote[8].end |
26.23784375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
26.33909375 |
transcript.pyannote[9].end |
27.06471875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
27.25034375 |
transcript.pyannote[10].end |
33.71346875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
34.84409375 |
transcript.pyannote[11].end |
38.84346875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
39.13034375 |
transcript.pyannote[12].end |
44.05784375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
40.17659375 |
transcript.pyannote[13].end |
41.39159375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
44.20971875 |
transcript.pyannote[14].end |
48.10784375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
48.52971875 |
transcript.pyannote[15].end |
50.57159375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
50.57159375 |
transcript.pyannote[16].end |
50.75721875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
50.94284375 |
transcript.pyannote[17].end |
75.31034375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
75.14159375 |
transcript.pyannote[18].end |
77.70659375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
77.04846875 |
transcript.pyannote[19].end |
78.85409375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
78.61784375 |
transcript.pyannote[20].end |
82.21221875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
82.36409375 |
transcript.pyannote[21].end |
83.83221875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
83.96721875 |
transcript.pyannote[22].end |
85.09784375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
85.33409375 |
transcript.pyannote[23].end |
105.14534375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
104.09909375 |
transcript.pyannote[24].end |
104.55471875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
105.01034375 |
transcript.pyannote[25].end |
116.53596875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
115.03409375 |
transcript.pyannote[26].end |
115.72596875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
116.70471875 |
transcript.pyannote[27].end |
117.80159375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
117.14346875 |
transcript.pyannote[28].end |
117.93659375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
117.93659375 |
transcript.pyannote[29].end |
118.00409375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
118.17284375 |
transcript.pyannote[30].end |
140.63346875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
119.32034375 |
transcript.pyannote[31].end |
119.80971875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
140.63346875 |
transcript.pyannote[32].end |
150.69096875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
150.72471875 |
transcript.pyannote[33].end |
153.59346875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
152.90159375 |
transcript.pyannote[34].end |
153.86346875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
153.84659375 |
transcript.pyannote[35].end |
162.09846875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
162.35159375 |
transcript.pyannote[36].end |
163.97159375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
163.97159375 |
transcript.pyannote[37].end |
196.03409375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
196.03409375 |
transcript.pyannote[38].end |
204.38721875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
204.58971875 |
transcript.pyannote[39].end |
206.96909375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
207.39096875 |
transcript.pyannote[40].end |
211.18784375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
211.69409375 |
transcript.pyannote[41].end |
220.68846875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
220.82346875 |
transcript.pyannote[42].end |
226.93221875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
227.53971875 |
transcript.pyannote[43].end |
229.26096875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
230.00346875 |
transcript.pyannote[44].end |
234.01971875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
235.82534375 |
transcript.pyannote[45].end |
245.15721875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
246.10221875 |
transcript.pyannote[46].end |
258.42096875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
259.06221875 |
transcript.pyannote[47].end |
271.19534375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
271.41471875 |
transcript.pyannote[48].end |
292.66034375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
293.13284375 |
transcript.pyannote[49].end |
293.60534375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
293.21721875 |
transcript.pyannote[50].end |
293.31846875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
293.60534375 |
transcript.pyannote[51].end |
296.84534375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
297.14909375 |
transcript.pyannote[52].end |
299.95034375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
299.07284375 |
transcript.pyannote[53].end |
306.07596875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
306.51471875 |
transcript.pyannote[54].end |
308.11784375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
308.48909375 |
transcript.pyannote[55].end |
329.12721875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
328.97534375 |
transcript.pyannote[56].end |
334.98284375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
335.65784375 |
transcript.pyannote[57].end |
337.68284375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
337.96971875 |
transcript.pyannote[58].end |
342.12096875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
342.99846875 |
transcript.pyannote[59].end |
346.23846875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
346.99784375 |
transcript.pyannote[60].end |
357.74721875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
357.76409375 |
transcript.pyannote[61].end |
357.78096875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
357.78096875 |
transcript.pyannote[62].end |
366.85971875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
364.90221875 |
transcript.pyannote[63].end |
365.32409375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
366.50534375 |
transcript.pyannote[64].end |
379.44846875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
380.62971875 |
transcript.pyannote[65].end |
384.89909375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
384.89909375 |
transcript.pyannote[66].end |
385.35471875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
385.50659375 |
transcript.pyannote[67].end |
396.25596875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
396.39096875 |
transcript.pyannote[68].end |
401.97659375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
402.24659375 |
transcript.pyannote[69].end |
414.21096875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
415.15596875 |
transcript.pyannote[70].end |
423.50909375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
423.96471875 |
transcript.pyannote[71].end |
433.04346875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
432.04784375 |
transcript.pyannote[72].end |
445.96971875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
446.49284375 |
transcript.pyannote[73].end |
448.07909375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
448.53471875 |
transcript.pyannote[74].end |
451.20096875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
452.09534375 |
transcript.pyannote[75].end |
452.65221875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
453.00659375 |
transcript.pyannote[76].end |
453.85034375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
455.14971875 |
transcript.pyannote[77].end |
458.67659375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
459.50346875 |
transcript.pyannote[78].end |
461.81534375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
461.14034375 |
transcript.pyannote[79].end |
463.06409375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
463.33409375 |
transcript.pyannote[80].end |
476.71596875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
463.99221875 |
transcript.pyannote[81].end |
464.02596875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
477.01971875 |
transcript.pyannote[82].end |
488.41034375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
488.64659375 |
transcript.pyannote[83].end |
491.93721875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
492.39284375 |
transcript.pyannote[84].end |
495.43034375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
495.63284375 |
transcript.pyannote[85].end |
495.98721875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
496.44284375 |
transcript.pyannote[86].end |
497.60721875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
498.07971875 |
transcript.pyannote[87].end |
499.51409375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
499.83471875 |
transcript.pyannote[88].end |
500.20596875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
500.20596875 |
transcript.pyannote[89].end |
505.80846875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
506.06159375 |
transcript.pyannote[90].end |
510.16221875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
511.29284375 |
transcript.pyannote[91].end |
515.02221875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
515.64659375 |
transcript.pyannote[92].end |
516.69284375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
517.21596875 |
transcript.pyannote[93].end |
518.36346875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
519.32534375 |
transcript.pyannote[94].end |
521.80596875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
522.43034375 |
transcript.pyannote[95].end |
524.23596875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
524.43846875 |
transcript.pyannote[96].end |
526.41284375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
527.44221875 |
transcript.pyannote[97].end |
535.01909375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
536.74034375 |
transcript.pyannote[98].end |
539.32221875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
539.32221875 |
transcript.pyannote[99].end |
577.98284375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
578.64096875 |
transcript.pyannote[100].end |
586.33596875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
584.85096875 |
transcript.pyannote[101].end |
588.96846875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
587.92221875 |
transcript.pyannote[102].end |
589.10346875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
588.98534375 |
transcript.pyannote[103].end |
600.08909375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
589.42409375 |
transcript.pyannote[104].end |
590.63909375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
593.62596875 |
transcript.pyannote[105].end |
593.71034375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
599.27909375 |
transcript.pyannote[106].end |
621.82409375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
608.18909375 |
transcript.pyannote[107].end |
608.61096875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
612.40784375 |
transcript.pyannote[108].end |
612.93096875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
621.82409375 |
transcript.pyannote[109].end |
634.26096875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
633.38346875 |
transcript.pyannote[110].end |
634.21034375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
634.26096875 |
transcript.pyannote[111].end |
637.21409375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
635.00346875 |
transcript.pyannote[112].end |
635.40846875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
636.37034375 |
transcript.pyannote[113].end |
644.36909375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
644.43659375 |
transcript.pyannote[114].end |
646.59659375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
646.15784375 |
transcript.pyannote[115].end |
648.13221875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
650.00534375 |
transcript.pyannote[116].end |
650.91659375 |
transcript.whisperx[0].start |
4.444 |
transcript.whisperx[0].end |
5.889 |
transcript.whisperx[0].text |
謝謝主席 那我請部長 |
transcript.whisperx[1].start |
9.984 |
transcript.whisperx[1].end |
30.519 |
transcript.whisperx[1].text |
市長我今天問你比較大的題目第一個問題就是說我們現在環境部是暗算馬尼、澳尼要開始修碳費碳費你一棟要修多少,多多少,這是你自己想的嗎?馬做土盤,你就把它修下去沒有啦,專業的審查啦,他們算出來的啦 |
transcript.whisperx[2].start |
39.415 |
transcript.whisperx[2].end |
53.795 |
transcript.whisperx[2].text |
所以省出來就對了那國際上像歐盟啊他們在搞的這個是碳稅還是碳交易其實碳稅碳交易或碳費 |
transcript.whisperx[3].start |
54.335 |
transcript.whisperx[3].end |
83.348 |
transcript.whisperx[3].text |
碳費跟碳稅有一點像但是我們台灣是專款專用碳費專款專用如果以後以後會到碳稅那那個就會到財政部不會到我們環境部那如果另外一種是碳交易碳交易就是比較大的就像我們交易買賣一樣就碳交易那目前大多數的國家是兩套併程在進行就是碳交易跟碳稅或碳費那現在國際上在定考試規則定比賽的方法 |
transcript.whisperx[4].start |
84.165 |
transcript.whisperx[4].end |
84.591 |
transcript.whisperx[4].text |
是誰在頂呢 |
transcript.whisperx[5].start |
85.807 |
transcript.whisperx[5].end |
109.44 |
transcript.whisperx[5].text |
就是因為這個東西都要市場機制在起來所以像歐盟齁他們是有一個歐盟的這個環境的這個DGCLIMA就氣候委員會在處理這個事不是就DGCLIMA就歐盟那日本呢就是由環境省跟這個財務省一起來合作還有經財省一起合作那現在歐盟定了一大堆說譬如說中來中來我們東西要賣給歐盟啊你如果不照他的標準他就要給他卡水 |
transcript.whisperx[6].start |
115.123 |
transcript.whisperx[6].end |
137.733 |
transcript.whisperx[6].text |
還是要去購買的碳交易?沒有,CBAN就是碳邊境調整機制有些人就說叫做碳關稅但是報告委員他現在是明年開始算後年開始要交然後他現在是出口到歐盟50噸的商品才要課這個對台灣來說壓力就沒那麼大 |
transcript.whisperx[7].start |
140.734 |
transcript.whisperx[7].end |
147.761 |
transcript.whisperx[7].text |
好,那現在全世界汙染大國,一個是美國,一個是中國大陸這兩個加起來,這樣全世界的70%有沒有?五、六十那這兩個大國都不甩它、不鳥它,那這個還玩得下去嗎? |
transcript.whisperx[8].start |
159.392 |
transcript.whisperx[8].end |
166.037 |
transcript.whisperx[8].text |
中國的減碳還蠻積極的他們有8個碳交易所所以中國的減碳是很積極的美國是聯邦政府沒那麼積極但是現在的州還是蠻積極的 |
transcript.whisperx[9].start |
184.631 |
transcript.whisperx[9].end |
210.824 |
transcript.whisperx[9].text |
各州還是很積極所以美國像我們那個蘋果我覺得蘋果公司在美國啊他也沒有說我就不減碳啊他一樣宣告2030年每一支手機要淨零碳排好那現在第二個問題譬如說用台積電標準的嘛台積電跟它的供應鏈的廠商說你要買我的東西你就要有減碳你就要有交易你就要有賤名 |
transcript.whisperx[10].start |
212.544 |
transcript.whisperx[10].end |
231.551 |
transcript.whisperx[10].text |
台積電站起來,他不夠的,將來要把我們的環境部告錢,還要把歐盟告錢,是不是高農白錢啊?我跟歐盟說好,就是說如果你交給我多少,到台積電這個可以扣掉。歐盟有得供,我看這個俄烏戰爭,我發現歐盟也是俐落落的。 |
transcript.whisperx[11].start |
236.045 |
transcript.whisperx[11].end |
260.421 |
transcript.whisperx[11].text |
但是他是全世界這個設定規則比較前進比較先進的國家啦所以目前這個歐盟還是歐盟目前沒有退我們醫療譬如說食品安全那個Gotex他們那個是訂的還不錯還不錯你要不要遵守是你的事嘛好那再來第三個問題這個碳交易就是說你不夠你要跟他買 |
transcript.whisperx[12].start |
261.311 |
transcript.whisperx[12].end |
266.039 |
transcript.whisperx[12].text |
然後他去紐西蘭去Australia去搞森林來買賣那這個是不是變成洗錢的一個管道 |
transcript.whisperx[13].start |
271.479 |
transcript.whisperx[13].end |
292.398 |
transcript.whisperx[13].text |
OK 報告委員第一個是說交易只在國內你不能去買那個什麼印尼的碳權回來國內抵這個目前我們法令最多最多目前新加坡有這個制度5%啦你最多在國外買5%我們認定的5%而已所以不能夠全部都跑去別的地方減碳然後來算我的 不行 |
transcript.whisperx[14].start |
293.675 |
transcript.whisperx[14].end |
302.187 |
transcript.whisperx[14].text |
那歐盟這個碳交易的平台是在幹嘛?沒有沒有,例如說好,幫我委員台積電假設1000萬噸那我們就規定1000萬噸你就最多,而且你每年要減 |
transcript.whisperx[15].start |
308.936 |
transcript.whisperx[15].end |
336.725 |
transcript.whisperx[15].text |
最後205年你要0阿如果說台積電現在要擴廠2納米3納米他要擴廠他會增加100萬噸這100萬噸呢就要來去做減碳的事情就要來去市場去買那有些人就覺得說阿我來發展種樹或幹嘛航核技術就賣給台積電所以這個就是碳市場就會起來啦所以台積電如果在台灣攪一攪他要出口到金邊要出口到歐盟他這邊可以扣掉 |
transcript.whisperx[16].start |
337.365 |
transcript.whisperx[16].end |
345.439 |
transcript.whisperx[16].text |
可以 完全可以好 不是 又來那邊我們很怕就搞成洗錢的管道嘛 就再一次的 |
transcript.whisperx[17].start |
347.508 |
transcript.whisperx[17].end |
370.635 |
transcript.whisperx[17].text |
醜陋的一面再又跑出來先進國家在玩這個落後國家先進國家搞死這些第三世界的國家我們一直擔心這樣啊包委不會這個我們可以保證因為我們就是一直在跟歐盟在談這個你到底要多少啊可以認我多少啊目前我們隨時都可以抵的看不下去就是這些這些先進所謂先進國家他們就訂考試規則訂考試的辦法然後怎麼然後讓這些國家永遠跟不上 |
transcript.whisperx[18].start |
376.016 |
transcript.whisperx[18].end |
387.349 |
transcript.whisperx[18].text |
有人被霸凌、被剝削、被強暴、被蹂躪欸柏霖,我看你是有理想有抱負,你說得很好啊這個我跟各位保障,因為我們已經談過了我們現在也是外部的諮詢的對象,就像關稅一樣,這些都會出力 |
transcript.whisperx[19].start |
396.4 |
transcript.whisperx[19].end |
422.926 |
transcript.whisperx[19].text |
好那再來我們台灣的石化燃料包括液態瓦斯包括燃煤佔了我們的發電能源的70幾% 80幾%颱風天有時候高到90幾%我們是要減碳的你講的說先進核能技術我們可以接受什麼叫做先進核能技術 |
transcript.whisperx[20].start |
424.488 |
transcript.whisperx[20].end |
450.988 |
transcript.whisperx[20].text |
如果現在國際上通稱就是兩個SMR還有核融合就是屬於3.5代以後的就是3.5代我昨天看了一下中國大陸它現在在發電的核能機組有57座正在建的有28座28個反應圖所以加起來就80幾然後它昨天又核准了10座 |
transcript.whisperx[21].start |
452.209 |
transcript.whisperx[21].end |
474.069 |
transcript.whisperx[21].text |
所以很快就世界第一名現在世界二、三名,一、二名他這種叫什麼他算是第三代我們也在觀察中國有沒有核融合他們也有在研議他們也有在研究SMR那也跟委員報告因為現在中國跟俄羅斯是全世界新建核能廠的 |
transcript.whisperx[22].start |
475.15 |
transcript.whisperx[22].end |
486.88 |
transcript.whisperx[22].text |
兩個都佔了全世界95%以上所以如果新蓋核電廠可能就是歐盟目前只是在英國兩個韓國兩個其他都是中國跟俄羅斯的這也是很大的問題 |
transcript.whisperx[23].start |
488.963 |
transcript.whisperx[23].end |
505.112 |
transcript.whisperx[23].text |
因為我去看過那個胡青,胡宗旁的胡青,他有過兩天,離台中市126公里台中市離我們河山場,我們屏東河山場266多公里那樣出事情,對面126公里就到台灣了在那邊叫河山場關場,對面那邊不叫關,不去問過,去抗議 |
transcript.whisperx[24].start |
520.01 |
transcript.whisperx[24].end |
534.225 |
transcript.whisperx[24].text |
這緩和混時態不要去抗議那個才是危險啊當然搞要搞八部機組啊所以在這部分要看一看啦好那最後一個問題是欸 還有我三十秒 |
transcript.whisperx[25].start |
537.212 |
transcript.whisperx[25].end |
552.626 |
transcript.whisperx[25].text |
醫療院所這塊你現在要怎麼處理?醫療院所跟委員報告我很積極去媒合大的醫院現在公立醫院因為他要採購等等很麻煩私立醫院比較快所以我們很積極的有團隊可以來輔導醫療醫院做診斷然後會媒合受寫業的資金 |
transcript.whisperx[26].start |
559.412 |
transcript.whisperx[26].end |
577.493 |
transcript.whisperx[26].text |
那現在我們發現就是說很多做ASCO的公司應該叫做Super ASCO大的都可以來幫忙醫療院所所以其實大的好的民間的醫院我們會優先來處理大的公立的說真的他們有他預算採購啊經費等等就麻煩了反而是民間的醫院早點 |
transcript.whisperx[27].start |
578.726 |
transcript.whisperx[27].end |
604.663 |
transcript.whisperx[27].text |
所以你會中型以上的社長法院、財政法院你會優先我們現在已經開始在進行了成立小組來幫忙他們現在我們有新的計畫正在啟動那也歡迎這個中型的醫院太小的診所那個就不用了就大的 中大型的他要照顧啦 現在這樣虛烈烈你就要pay more attention |
transcript.whisperx[28].start |
606.824 |
transcript.whisperx[28].end |
609.227 |
transcript.whisperx[28].text |
要自己照顧 什麼就是國發基金要投資基金 環保蟑螂要來申請什麼的會不會產生弊端 |
transcript.whisperx[29].start |
622.003 |
transcript.whisperx[29].end |
646.348 |
transcript.whisperx[29].text |
包圍不會就是說我們必須說以前這個產業是不受大家重視的那就自然而然變蟑螂嘛我們希望透過這個方式把好的能夠把它蟑螂會變鳥屎啊大隻的變鳥屎啊這個我們歡迎大家來監督啦因為現在國發基金也被也有一些審核的標準我們會全部公開的來處理請大家放心好要公開透明啦好謝謝謝謝委員謝謝好謝謝周委 |