IVOD_ID |
159438 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159438 |
日期 |
2025-03-20 |
會議資料.會議代碼 |
委員會-11-3-19-3 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第3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 |
3 |
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3次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-20T10:15:57+08:00 |
結束時間 |
2025-03-20T10:31:59+08:00 |
影片長度 |
00:16:02 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/51071748fba5feb0eddc827086d60c3656c3f89dc79e7a25525a0be0b44ec4a3fbd5a51b102a7b385ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
楊瓊瓔 |
委員發言時間 |
10:15:57 - 10:31:59 |
會議時間 |
2025-03-20T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第3次全體委員會議(事由:邀請經濟部部長列席報告業務概況,並備質詢。【3月19日及20日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
3.69284375 |
transcript.pyannote[0].end |
5.85284375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
6.54471875 |
transcript.pyannote[1].end |
6.98346875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
14.64471875 |
transcript.pyannote[2].end |
15.06659375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
15.38721875 |
transcript.pyannote[3].end |
15.91034375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
16.31534375 |
transcript.pyannote[4].end |
18.39096875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
18.96471875 |
transcript.pyannote[5].end |
19.69034375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
21.12471875 |
transcript.pyannote[6].end |
23.87534375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
24.43221875 |
transcript.pyannote[7].end |
25.61346875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
26.11971875 |
transcript.pyannote[8].end |
30.79409375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
31.36784375 |
transcript.pyannote[9].end |
39.60284375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
40.07534375 |
transcript.pyannote[10].end |
44.02409375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
44.14221875 |
transcript.pyannote[11].end |
46.47096875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
46.53846875 |
transcript.pyannote[12].end |
47.17971875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
47.51721875 |
transcript.pyannote[13].end |
48.10784375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
48.54659375 |
transcript.pyannote[14].end |
49.06971875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
49.32284375 |
transcript.pyannote[15].end |
51.66846875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
52.47846875 |
transcript.pyannote[16].end |
52.71471875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
52.95096875 |
transcript.pyannote[17].end |
68.07096875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
68.50971875 |
transcript.pyannote[18].end |
82.14471875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
82.46534375 |
transcript.pyannote[19].end |
85.78971875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
86.04284375 |
transcript.pyannote[20].end |
86.53221875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
86.73471875 |
transcript.pyannote[21].end |
88.38846875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
88.55721875 |
transcript.pyannote[22].end |
91.15596875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
91.37534375 |
transcript.pyannote[23].end |
95.32409375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
95.32409375 |
transcript.pyannote[24].end |
95.79659375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
96.58971875 |
transcript.pyannote[25].end |
98.90159375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
99.35721875 |
transcript.pyannote[26].end |
100.58909375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
101.06159375 |
transcript.pyannote[27].end |
102.51284375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
102.96846875 |
transcript.pyannote[28].end |
106.37721875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
106.57971875 |
transcript.pyannote[29].end |
108.38534375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
108.60471875 |
transcript.pyannote[30].end |
115.82721875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
109.22909375 |
transcript.pyannote[31].end |
110.08971875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
110.73096875 |
transcript.pyannote[32].end |
111.52409375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
116.23221875 |
transcript.pyannote[33].end |
127.97721875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
127.97721875 |
transcript.pyannote[34].end |
128.02784375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
128.02784375 |
transcript.pyannote[35].end |
130.03596875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
130.33971875 |
transcript.pyannote[36].end |
132.80346875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
133.22534375 |
transcript.pyannote[37].end |
140.49846875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
140.53221875 |
transcript.pyannote[38].end |
142.03409375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
142.03409375 |
transcript.pyannote[39].end |
147.85596875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
146.96159375 |
transcript.pyannote[40].end |
147.34971875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
148.07534375 |
transcript.pyannote[41].end |
152.51346875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
152.51346875 |
transcript.pyannote[42].end |
169.00034375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
152.78346875 |
transcript.pyannote[43].end |
153.34034375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
170.31659375 |
transcript.pyannote[44].end |
174.70409375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
175.51409375 |
transcript.pyannote[45].end |
241.03971875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
188.32221875 |
transcript.pyannote[46].end |
189.46971875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
241.96784375 |
transcript.pyannote[47].end |
267.87096875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
268.61346875 |
transcript.pyannote[48].end |
268.96784375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
268.96784375 |
transcript.pyannote[49].end |
274.80659375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
275.09346875 |
transcript.pyannote[50].end |
278.65409375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
278.89034375 |
transcript.pyannote[51].end |
352.21221875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
352.66784375 |
transcript.pyannote[52].end |
362.92784375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
363.31596875 |
transcript.pyannote[53].end |
366.96096875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
367.51784375 |
transcript.pyannote[54].end |
371.97284375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
372.09096875 |
transcript.pyannote[55].end |
375.65159375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
375.98909375 |
transcript.pyannote[56].end |
381.91221875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
382.11471875 |
transcript.pyannote[57].end |
383.59971875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
384.22409375 |
transcript.pyannote[58].end |
384.57846875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
384.57846875 |
transcript.pyannote[59].end |
384.62909375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
384.73034375 |
transcript.pyannote[60].end |
384.81471875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
384.81471875 |
transcript.pyannote[61].end |
384.96659375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
384.96659375 |
transcript.pyannote[62].end |
391.07534375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
391.14284375 |
transcript.pyannote[63].end |
401.63909375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
400.76159375 |
transcript.pyannote[64].end |
401.50409375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
401.63909375 |
transcript.pyannote[65].end |
401.87534375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
401.87534375 |
transcript.pyannote[66].end |
402.17909375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
402.17909375 |
transcript.pyannote[67].end |
402.51659375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
402.51659375 |
transcript.pyannote[68].end |
402.53346875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
402.53346875 |
transcript.pyannote[69].end |
405.38534375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
402.60096875 |
transcript.pyannote[70].end |
403.37721875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
405.13221875 |
transcript.pyannote[71].end |
421.06221875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
405.53721875 |
transcript.pyannote[72].end |
405.94221875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
414.32909375 |
transcript.pyannote[73].end |
415.45971875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
421.46721875 |
transcript.pyannote[74].end |
423.55971875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
423.84659375 |
transcript.pyannote[75].end |
424.90971875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
425.38221875 |
transcript.pyannote[76].end |
431.40659375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
428.03159375 |
transcript.pyannote[77].end |
429.16221875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
429.49971875 |
transcript.pyannote[78].end |
429.97221875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
430.79909375 |
transcript.pyannote[79].end |
433.00971875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
433.00971875 |
transcript.pyannote[80].end |
445.37909375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
446.49284375 |
transcript.pyannote[81].end |
458.17034375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
459.09846875 |
transcript.pyannote[82].end |
461.54534375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
462.37221875 |
transcript.pyannote[83].end |
474.11721875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
464.54909375 |
transcript.pyannote[84].end |
464.86971875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
467.04659375 |
transcript.pyannote[85].end |
467.75534375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
474.16784375 |
transcript.pyannote[86].end |
476.39534375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
476.53034375 |
transcript.pyannote[87].end |
476.61471875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
476.61471875 |
transcript.pyannote[88].end |
476.80034375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
476.80034375 |
transcript.pyannote[89].end |
488.00534375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
477.34034375 |
transcript.pyannote[90].end |
477.86346875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
478.03221875 |
transcript.pyannote[91].end |
480.79971875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
483.58409375 |
transcript.pyannote[92].end |
483.71909375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
484.02284375 |
transcript.pyannote[93].end |
486.09846875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
486.55409375 |
transcript.pyannote[94].end |
498.99096875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
488.24159375 |
transcript.pyannote[95].end |
488.35971875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
488.44409375 |
transcript.pyannote[96].end |
488.54534375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
497.99534375 |
transcript.pyannote[97].end |
498.85596875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
498.99096875 |
transcript.pyannote[98].end |
499.00784375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
499.00784375 |
transcript.pyannote[99].end |
499.09221875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
499.09221875 |
transcript.pyannote[100].end |
499.15971875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
499.15971875 |
transcript.pyannote[101].end |
499.24409375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
499.24409375 |
transcript.pyannote[102].end |
499.32846875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
499.32846875 |
transcript.pyannote[103].end |
499.36221875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
499.36221875 |
transcript.pyannote[104].end |
499.42971875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
499.42971875 |
transcript.pyannote[105].end |
499.96971875 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
499.96971875 |
transcript.pyannote[106].end |
500.10471875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
500.10471875 |
transcript.pyannote[107].end |
500.32409375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
500.32409375 |
transcript.pyannote[108].end |
509.95971875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
502.18034375 |
transcript.pyannote[109].end |
502.45034375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
510.33096875 |
transcript.pyannote[110].end |
538.02284375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
515.30909375 |
transcript.pyannote[111].end |
523.51034375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
531.13784375 |
transcript.pyannote[112].end |
532.15034375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
538.32659375 |
transcript.pyannote[113].end |
538.73159375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
539.01846875 |
transcript.pyannote[114].end |
567.06471875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
564.51659375 |
transcript.pyannote[115].end |
568.81971875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
568.11096875 |
transcript.pyannote[116].end |
578.79284375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
575.46846875 |
transcript.pyannote[117].end |
575.85659375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
577.98284375 |
transcript.pyannote[118].end |
580.98659375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
580.54784375 |
transcript.pyannote[119].end |
582.55596875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
581.20596875 |
transcript.pyannote[120].end |
582.94409375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
583.04534375 |
transcript.pyannote[121].end |
584.14221875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
585.45846875 |
transcript.pyannote[122].end |
585.79596875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
586.16721875 |
transcript.pyannote[123].end |
587.07846875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
587.19659375 |
transcript.pyannote[124].end |
587.39909375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
587.39909375 |
transcript.pyannote[125].end |
588.58034375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
587.43284375 |
transcript.pyannote[126].end |
588.59721875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
588.59721875 |
transcript.pyannote[127].end |
588.61409375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
589.06971875 |
transcript.pyannote[128].end |
589.08659375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
589.08659375 |
transcript.pyannote[129].end |
592.00596875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
592.25909375 |
transcript.pyannote[130].end |
594.38534375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
594.62159375 |
transcript.pyannote[131].end |
595.97159375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
595.97159375 |
transcript.pyannote[132].end |
598.58721875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
599.46471875 |
transcript.pyannote[133].end |
604.78034375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
605.01659375 |
transcript.pyannote[134].end |
623.08971875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
624.50721875 |
transcript.pyannote[135].end |
630.48096875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
630.97034375 |
transcript.pyannote[136].end |
632.03346875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
632.35409375 |
transcript.pyannote[137].end |
638.78346875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
639.08721875 |
transcript.pyannote[138].end |
655.28721875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
656.09721875 |
transcript.pyannote[139].end |
666.91409375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
666.94784375 |
transcript.pyannote[140].end |
675.21659375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
673.22534375 |
transcript.pyannote[141].end |
690.60659375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
691.11284375 |
transcript.pyannote[142].end |
695.01096875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
695.07846875 |
transcript.pyannote[143].end |
696.44534375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
696.66471875 |
transcript.pyannote[144].end |
709.82721875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
711.44721875 |
transcript.pyannote[145].end |
712.32471875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
712.56096875 |
transcript.pyannote[146].end |
719.14221875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
719.14221875 |
transcript.pyannote[147].end |
719.24346875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
719.24346875 |
transcript.pyannote[148].end |
719.27721875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
719.27721875 |
transcript.pyannote[149].end |
727.00596875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
719.29409375 |
transcript.pyannote[150].end |
720.62721875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
725.85846875 |
transcript.pyannote[151].end |
727.59659375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
727.59659375 |
transcript.pyannote[152].end |
727.78221875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
727.78221875 |
transcript.pyannote[153].end |
732.89534375 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
733.23284375 |
transcript.pyannote[154].end |
735.47721875 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
733.50284375 |
transcript.pyannote[155].end |
734.73471875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
735.47721875 |
transcript.pyannote[156].end |
748.03221875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
735.49409375 |
transcript.pyannote[157].end |
737.77221875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
744.85971875 |
transcript.pyannote[158].end |
746.19284375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
747.49221875 |
transcript.pyannote[159].end |
748.01534375 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
748.03221875 |
transcript.pyannote[160].end |
748.08284375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
748.08284375 |
transcript.pyannote[161].end |
748.21784375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
748.21784375 |
transcript.pyannote[162].end |
748.26846875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
748.26846875 |
transcript.pyannote[163].end |
748.52159375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
748.52159375 |
transcript.pyannote[164].end |
748.60596875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
748.60596875 |
transcript.pyannote[165].end |
748.62284375 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
748.62284375 |
transcript.pyannote[166].end |
757.93784375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
748.69034375 |
transcript.pyannote[167].end |
751.64346875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
758.49471875 |
transcript.pyannote[168].end |
760.80659375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
760.80659375 |
transcript.pyannote[169].end |
761.32971875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
761.32971875 |
transcript.pyannote[170].end |
761.97096875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
761.97096875 |
transcript.pyannote[171].end |
762.67971875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
761.98784375 |
transcript.pyannote[172].end |
762.61221875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
763.06784375 |
transcript.pyannote[173].end |
763.08471875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
763.08471875 |
transcript.pyannote[174].end |
766.34159375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
763.55721875 |
transcript.pyannote[175].end |
765.00846875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
766.67909375 |
transcript.pyannote[176].end |
768.41721875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
768.41721875 |
transcript.pyannote[177].end |
768.46784375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
768.46784375 |
transcript.pyannote[178].end |
768.58596875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
768.58596875 |
transcript.pyannote[179].end |
777.02346875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
777.02346875 |
transcript.pyannote[180].end |
777.64784375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
777.64784375 |
transcript.pyannote[181].end |
777.68159375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
777.68159375 |
transcript.pyannote[182].end |
777.71534375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
777.71534375 |
transcript.pyannote[183].end |
779.50409375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
780.34784375 |
transcript.pyannote[184].end |
782.62596875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
782.13659375 |
transcript.pyannote[185].end |
785.66346875 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
785.71409375 |
transcript.pyannote[186].end |
795.97409375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
795.97409375 |
transcript.pyannote[187].end |
803.17971875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
803.75346875 |
transcript.pyannote[188].end |
806.23409375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
806.48721875 |
transcript.pyannote[189].end |
837.19971875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
830.44971875 |
transcript.pyannote[190].end |
831.04034375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
837.19971875 |
transcript.pyannote[191].end |
861.71909375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
862.07346875 |
transcript.pyannote[192].end |
906.57284375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
906.91034375 |
transcript.pyannote[193].end |
908.95221875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
909.37409375 |
transcript.pyannote[194].end |
909.57659375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
909.96471875 |
transcript.pyannote[195].end |
913.64346875 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
913.91346875 |
transcript.pyannote[196].end |
932.52659375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
932.69534375 |
transcript.pyannote[197].end |
934.24784375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
934.77096875 |
transcript.pyannote[198].end |
961.97346875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
962.32784375 |
transcript.pyannote[199].end |
962.73284375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
962.95221875 |
transcript.pyannote[200].end |
962.96909375 |
transcript.whisperx[0].start |
3.877 |
transcript.whisperx[0].end |
4.077 |
transcript.whisperx[0].text |
郭文貴議員 |
transcript.whisperx[1].start |
21.169 |
transcript.whisperx[1].end |
37.501 |
transcript.whisperx[1].text |
台電準備要提出漲價方案而且預估這個方案是整體電價平均漲幅6%民生住宅以及小商店用電幅度會更高介於11%到33% |
transcript.whisperx[2].start |
40.143 |
transcript.whisperx[2].end |
67.63 |
transcript.whisperx[2].text |
以目前家庭平均每月用電338度的非夏月電價來做比較估計每一個月的電費要增加100多塊所以在這樣的一個情況之下本席要請教更傳出台電這一波的調漲鎖定了長年動漲的330度以下的民生住宅以及小商店用電 |
transcript.whisperx[3].start |
68.57 |
transcript.whisperx[3].end |
93.564 |
transcript.whisperx[3].text |
那麼台電要爭取調升過去的水準也就每度大概是兩塊到三塊這一波的民生跟小商店用電呢330度以上也會採取用電越多漲幅越大的原則部長你有沒有知道這個事情那我們經濟部的立場究竟是什麼我們仍舊經濟部也是建議調漲嗎請說明 |
transcript.whisperx[4].start |
96.736 |
transcript.whisperx[4].end |
123.092 |
transcript.whisperx[4].text |
報告委員我想你也非常清楚電價的調漲不是經濟部決定的電價的調漲是電價審議委員會他們多數的人好 所以部長你有聽聞這樣子的方案嗎這一個部分請教基本上都不是我們台電裡面討論的方向好 所以剛剛本席所說的媒體暴露是沒有這回事嗎 |
transcript.whisperx[5].start |
123.752 |
transcript.whisperx[5].end |
149.953 |
transcript.whisperx[5].text |
媒體有很多他們會去所以你不知道這個訊息我不知道這個訊息好一個不知道訊息所以本席要請教經濟部的立場在目前台灣的面向你認為你仍舊在經濟部的立場還是以漲價為主嗎經濟部的立場就是綜合考量這個目前的經濟的動盪以及國人的需求 |
transcript.whisperx[6].start |
152.455 |
transcript.whisperx[6].end |
168.479 |
transcript.whisperx[6].text |
部長你這樣說就對了因為你是經濟部你一定會綜合考量所以在你綜合考量立即要到下個月四月份那你認為在目前綜合考量的情況之下你現在還會認為漲價是好的方案嗎如果是台電今天是民營企業的話 |
transcript.whisperx[7].start |
175.558 |
transcript.whisperx[7].end |
199.855 |
transcript.whisperx[7].text |
它勢必要漲價但是台電現在是國營的企業它必須要肩負國家照顧國人的這樣的一個任務所以這個任務我們非常的要重視所以剛才我想委員你所指教的部分也就是我們過去數年動場的最重要的一個部分 |
transcript.whisperx[8].start |
200.635 |
transcript.whisperx[8].end |
225.297 |
transcript.whisperx[8].text |
那我們現在這樣就是說我們要請這個國家來補助台電然後因為過去動漲造成他的這個負債那這個負債已經舉債到92%了我們希望是這樣就是說如果能夠撥補給我們讓我們的這個舉債的空間有的話那對我們來講我想我們會做其他更好的努力啦 |
transcript.whisperx[9].start |
226.078 |
transcript.whisperx[9].end |
240.916 |
transcript.whisperx[9].text |
那我們現在就是有一點這個因為負債過大那剛才也有人講說你不要再增加舉債了啦舉債的話你這個利息更多等等所以我要跟委員報告您剛才所關心的部分也是我們關心的部分 |
transcript.whisperx[10].start |
242.025 |
transcript.whisperx[10].end |
266.67 |
transcript.whisperx[10].text |
但是我們沒有辦法在這個價格調整之前做出一個肯定的決定所以我們會把這些訊息包括委員所關心的這個內容都提供給電價審議委員會由他們斟酌讓他們去討論我相信在那些專家學者之間他們會討論出一個比較有智慧的這個決定好 |
transcript.whisperx[11].start |
268.65 |
transcript.whisperx[11].end |
273.832 |
transcript.whisperx[11].text |
剛剛部長我運用了一分多鐘的時間讓你說明我真的希望聽到政府的立場第一個你會提供民眾的聲音因為現在如果你一漲價通膨是非常的恐怖因為目前我們看到如果再漲尤其像媒體所披露的這個方案CPI可能會上升到2%甚至以上 |
transcript.whisperx[12].start |
296.38 |
transcript.whisperx[12].end |
299.144 |
transcript.whisperx[12].text |
這樣的一個情況市民大家有一個心聲長了就回不了頭尤其在現階段你身為經濟部部長你必須綜合台灣目前整個民生以及產業的樣態 |
transcript.whisperx[13].start |
311.661 |
transcript.whisperx[13].end |
334.975 |
transcript.whisperx[13].text |
那麼這點是非常重要 也請你 將你剛剛善意的回應告訴店家委員會 務必在現階段如果連市民小店家 民生用店都如此的要高漲到更高的水準我想這是民眾沒有辦法接受的我們目的 政府要好好的讓民眾好生活 因為 |
transcript.whisperx[14].start |
335.675 |
transcript.whisperx[14].end |
360.107 |
transcript.whisperx[14].text |
在工業這個電價的部分呢最近這幾年也已經漲了數次在目前我們統計平均的單價已經高達4.29元所以本市還是要奉勸在先階段你要怎麼樣讓民生小店家能夠先安內先不要漲才不會導致通盆你願意這樣子的方向來建議給電價委員會嗎 |
transcript.whisperx[15].start |
363.889 |
transcript.whisperx[15].end |
382.63 |
transcript.whisperx[15].text |
謝謝委員的叮嚀我們一定會把你這些內容來向這個電價審議委員會報告不過我在這個地方向你說明一下我們基本上的原則對工業電價來講就是不能夠高於我們的競爭對手國 |
transcript.whisperx[16].start |
385.015 |
transcript.whisperx[16].end |
401.426 |
transcript.whisperx[16].text |
對所以你總是有一個防堵這個目的就是要真正照顧我們的產業嘛但是另外一項也就是我一直強調的本席民生跟小店家現在苦不堪言絕對不適合黨在這個階段我一定會提供給這個審議委員會 |
transcript.whisperx[17].start |
405.649 |
transcript.whisperx[17].end |
412.275 |
transcript.whisperx[17].text |
我相信你有這個能力因為我不希望你成為一個只有會漲價人家號稱你是漲價部長我不希望這個名稱因為卓榮泰卓榮泰說他是AI內閣我也不希望你是漲價部長卓榮泰不是AI內閣而成為漲價內閣 |
transcript.whisperx[18].start |
425.467 |
transcript.whisperx[18].end |
444.767 |
transcript.whisperx[18].text |
您剛才回答是你是經濟部長嗎我不是漲價部長你不是漲價部長所以你務必也不是水電部長對 也不是水電部長好 有gas所以我希望我們好好地來照顧民生這是一個非常重要的一個均衡的樣態接下來本席要請教 |
transcript.whisperx[19].start |
447.334 |
transcript.whisperx[19].end |
457.983 |
transcript.whisperx[19].text |
麥綠能那麼菲律賓的這個案子本席也聽到您說您會去實際上的一個這個考察什麼時候會去考察我們大概在這個 |
transcript.whisperx[20].start |
462.835 |
transcript.whisperx[20].end |
480.429 |
transcript.whisperx[20].text |
確定了以後會分批啦就是實際上面我個人什麼時候可以去可能就是我如果能夠請假出國的話那麼我就會去你非常想立即去是不是不是你一定有一個評估不要笑這個對台灣來講你一直漲價你解決不了台電的困境你的能源政策你要怎麼樣去調整這非常的重要 |
transcript.whisperx[21].start |
488.075 |
transcript.whisperx[21].end |
499.162 |
transcript.whisperx[21].text |
是 我們的專業的部分包括我們的能源局包括我們的公研院包括我們相關的這些專家他們會先走大約什麼時候應該是月底之前吧月底之前會出發那本席要請教因為本席在前半年一直跟你討論你也有回應但是你告訴我們的都是具可行性那具可行性也就是還在空想 |
transcript.whisperx[22].start |
515.191 |
transcript.whisperx[22].end |
522.874 |
transcript.whisperx[22].text |
還沒有實際行動但是我們剛剛通道你是具可行性但是你剛剛有說了你月底以前專家學者會出發是不是月底以前這是你現在才告訴我們的因為在你書面答詢沒有這些資料所以我們要實際去討論接下來本席請問那到底你的工程費用 |
transcript.whisperx[23].start |
539.159 |
transcript.whisperx[23].end |
549.123 |
transcript.whisperx[23].text |
是多少 到底你要採用的運電的方式你要用什麼樣的方式你到底是原先說的海底電纜線還是這個電池的電池船的一個運輸那麼時程大概是什麼時候請說明報告委員 這個我們是不是可以另外給你報告 |
transcript.whisperx[24].start |
558.266 |
transcript.whisperx[24].end |
568.534 |
transcript.whisperx[24].text |
好 你給我報告 你有一個方案 但是我還是要問你因為這個對我們國家來講是很重要的一個很重大的一個工程所以本下要請教 那麼是不是台飛台飛也採用了什麼樣的方式來做合作我想這一點是非常的關鍵 請說明有沒有合作這個部分我們不方便在這裡不方便講沒關係 有沒有合作好 有沒有合作 |
transcript.whisperx[25].start |
585.503 |
transcript.whisperx[25].end |
598.397 |
transcript.whisperx[25].text |
沒有合作好那我們也是希望也就是認真在推動是不是我們當然是積極的在推動好是一個積極在推動所以我們也希望 |
transcript.whisperx[26].start |
599.522 |
transcript.whisperx[26].end |
621.123 |
transcript.whisperx[26].text |
在整個能源的配比方式要怎麼做而不是就像本席剛才所說的這幾年民生也漲了幾次我不希望你成為一個漲價的部長那你剛才也說了你不是漲價部長最後一個議題本席要跟你討論的也就是我們這個大阪的這個 |
transcript.whisperx[27].start |
624.594 |
transcript.whisperx[27].end |
630.239 |
transcript.whisperx[27].text |
市博那當時我們在2022年的時候我回想我們一直在討論這20億我們要怎麼花那我們有一個條件因為以往在上海市博是沒有我們政府出資是台商自己募款那現在我們當然支持台灣的產業能夠在世界來展露 |
transcript.whisperx[28].start |
647.515 |
transcript.whisperx[28].end |
654.459 |
transcript.whisperx[28].text |
所以因此最後我們協商的結果也就是20億一毛不刪希望大家努力去做對不對 |
transcript.whisperx[29].start |
656.158 |
transcript.whisperx[29].end |
673.969 |
transcript.whisperx[29].text |
是不是報告委員 這個是我們努力跟日本友好的關係我們本來我們在這個展覽 世博的展我們不是會員所以我們是根本就不會受到邀請去參與這個有主辦過不是啦 這個就是本席要跟你討論的當時你承諾的是會多方的讓台灣來出現 |
transcript.whisperx[30].start |
681.073 |
transcript.whisperx[30].end |
708.947 |
transcript.whisperx[30].text |
甚至持續的透過管道判以這個希望以台灣管的面向來展出那現在我們是以teamwork的方式但是最近好像聽聞有媒體暴露也就是披露說日方認為台灣經濟部的官方網站在本月的6日發布的聲明內容是希望能夠更明確 |
transcript.whisperx[31].start |
711.499 |
transcript.whisperx[31].end |
718.525 |
transcript.whisperx[31].text |
去說明不是以政府的立場不是以台灣兩個字的名義來參展有沒有這回事請問有沒有這回事我們不是這個國際展覽局BIE的成員所以沒有辦法直接參展本席要請教日方有沒有最近6號有沒有這回事 |
transcript.whisperx[32].start |
733.637 |
transcript.whisperx[32].end |
760.571 |
transcript.whisperx[32].text |
你們經濟部有沒有收到有沒有收到請你告訴我們我們接受日本的邀請這個已經是非常大人家非常給我們很大的所以我們二十億全力支持所以本席請教其中有變化的時候是不是陳儒媒體所說經濟部有沒有接到這樣子的訊息這樣子的這個不管是文也好或者是我們的電子網有沒有 |
transcript.whisperx[33].start |
764.073 |
transcript.whisperx[33].end |
779.413 |
transcript.whisperx[33].text |
報告委員對於報載的事情你認為那個信度高嗎你不用問我認不認因為你是主席棄者你可以給社會大眾說到底有還是沒有我個人是沒有收到這樣的一個訊息你個人沒有 經濟部有沒有 |
transcript.whisperx[34].start |
780.407 |
transcript.whisperx[34].end |
802.952 |
transcript.whisperx[34].text |
因為你是代表經濟部你不是個人那我剛才已經跟您報告就是我沒有收到你沒有收到好因為本席也不希望我們被污蔑這個就是我們在質詢當中能夠好好的去溝通說明清楚我們謝謝委員的這個垂詢其實我們到日本參展這件事情我們基本上是沒有 |
transcript.whisperx[35].start |
803.852 |
transcript.whisperx[35].end |
817.626 |
transcript.whisperx[35].text |
不是會員沒有資格去參展但是日本基於友好的這樣的一個關係邀請我們去參展所以這裡面當然有一些對我們有惡意的國家就會來挑撥離間會來見縫插針 |
transcript.whisperx[36].start |
821.249 |
transcript.whisperx[36].end |
836.907 |
transcript.whisperx[36].text |
所以我向委員這一部分你要了解我們同仁之間在穿梭這個案件的時候非常非常努力的千萬不要落入別人千萬不要落入這個輕痛愁快的這樣的一個境界 |
transcript.whisperx[37].start |
837.347 |
transcript.whisperx[37].end |
860.064 |
transcript.whisperx[37].text |
部長你現在說明的立場也就是全國國民的心聲我們也非常的希望政府部門可以說明清楚我們並沒有照你剛才說的我們經濟並沒有收到這樣的訊息我們要讓國人安心因為20億大家全力的支持也就是希望讓台灣在世界能夠發光發熱 是不是 |
transcript.whisperx[38].start |
862.165 |
transcript.whisperx[38].end |
874.519 |
transcript.whisperx[38].text |
我們去接受這個邀請去參展到別人家去做客我想我們有很多的事情必須要這按照主人的這個條件主人的這個規定來進行 |
transcript.whisperx[39].start |
877.142 |
transcript.whisperx[39].end |
906.32 |
transcript.whisperx[39].text |
不可能我们恣意乱行很多的人要求我们做一些我认为是没有这个太有意义的部分这个反而让我们自爱难行我想委员的这个好意应该也是这个部分所以让我们共同努力实际上让所有去看到在去参加这个展览的人都能够了解我们这个所谓的tech world这个馆是表现出 |
transcript.whisperx[40].start |
907.04 |
transcript.whisperx[40].end |
930.862 |
transcript.whisperx[40].text |
我們非常優異的部分對所以在2022年部長你我本席再次強調也再次提醒因為你在這裡有承諾也就是說我們既然不是在國家區我們好不容易也可以爭取到所以20億全力的支持也就是您所說的希望能夠透過各方的管道能夠讓台灣台灣 |
transcript.whisperx[41].start |
932.844 |
transcript.whisperx[41].end |
959.886 |
transcript.whisperx[41].text |
台灣的一個意象能夠在這當中來展露我想這是對於我們全國國民大家都非常的期待我也希望有任何不正確的訊息能夠透過經濟部也要嚴格去管控去說明清楚而不是隨波逐流我們的目的也就是希望讓我們的產業都能夠再次的強調是在世界看得到而且是跟世界接軌謝謝是謝謝委員好 |