| IVOD_ID |
167519 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/167519 |
| 日期 |
2026-03-16 |
| 會議資料.會議代碼 |
委員會-11-5-20-2 |
| 會議資料.會議代碼:str |
第11屆第5會期財政委員會第2次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 會議資料.會次 |
2 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
20 |
| 會議資料.委員會代碼:str[0] |
財政委員會 |
| 會議資料.標題 |
第11屆第5會期財政委員會第2次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-03-16T11:38:34+08:00 |
| 結束時間 |
2026-03-16T11:50:39+08:00 |
| 影片長度 |
00:12:05 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e545302d1642c5f6b74ffedf19c623409845512775efda37bfd7ce027fbc82e0642409915d7b18685ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
林思銘 |
| 委員發言時間 |
11:38:34 - 11:50:39 |
| 會議時間 |
2026-03-16T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期財政委員會第2次全體委員會議（事由：邀請行政院主計總處陳主計長淑姿、審計部陳審計長瑞敏率所屬單位主管列席業務報告，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
1.93784375 |
| transcript.pyannote[0].end |
4.45221875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
4.80659375 |
| transcript.pyannote[1].end |
7.27034375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
8.73846875 |
| transcript.pyannote[2].end |
9.21096875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
11.80971875 |
| transcript.pyannote[3].end |
16.72034375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
17.49659375 |
| transcript.pyannote[4].end |
19.72409375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
20.83784375 |
| transcript.pyannote[5].end |
22.03596875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
23.62221875 |
| transcript.pyannote[6].end |
25.27596875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
26.52471875 |
| transcript.pyannote[7].end |
32.32971875 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
29.69721875 |
| transcript.pyannote[8].end |
30.18659375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
32.65034375 |
| transcript.pyannote[9].end |
63.80159375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
64.07159375 |
| transcript.pyannote[10].end |
72.71159375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
73.16721875 |
| transcript.pyannote[11].end |
81.14909375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
81.52034375 |
| transcript.pyannote[12].end |
84.20346875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
84.60846875 |
| transcript.pyannote[13].end |
99.93096875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
100.58909375 |
| transcript.pyannote[14].end |
137.07284375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
105.26346875 |
| transcript.pyannote[15].end |
105.48284375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
115.64159375 |
| transcript.pyannote[16].end |
116.13096875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
121.05846875 |
| transcript.pyannote[17].end |
121.66596875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
123.08346875 |
| transcript.pyannote[18].end |
123.92721875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
128.06159375 |
| transcript.pyannote[19].end |
128.55096875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
135.73971875 |
| transcript.pyannote[20].end |
140.54909375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
138.49034375 |
| transcript.pyannote[21].end |
159.31409375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
141.62909375 |
| transcript.pyannote[22].end |
142.00034375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
152.22659375 |
| transcript.pyannote[23].end |
153.47534375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
154.11659375 |
| transcript.pyannote[24].end |
154.85909375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
158.28471875 |
| transcript.pyannote[25].end |
165.54096875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
160.91721875 |
| transcript.pyannote[26].end |
161.87909375 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
162.04784375 |
| transcript.pyannote[27].end |
162.82409375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
164.49471875 |
| transcript.pyannote[28].end |
192.03471875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
166.63784375 |
| transcript.pyannote[29].end |
167.73471875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
167.80221875 |
| transcript.pyannote[30].end |
170.04659375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
171.22784375 |
| transcript.pyannote[31].end |
171.49784375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
179.14221875 |
| transcript.pyannote[32].end |
179.66534375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
192.20346875 |
| transcript.pyannote[33].end |
198.64971875 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
196.25346875 |
| transcript.pyannote[34].end |
196.74284375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
198.37971875 |
| transcript.pyannote[35].end |
201.36659375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
199.02096875 |
| transcript.pyannote[36].end |
200.01659375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
200.26971875 |
| transcript.pyannote[37].end |
234.42471875 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
202.32846875 |
| transcript.pyannote[38].end |
203.96534375 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
221.09346875 |
| transcript.pyannote[39].end |
221.17784375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
234.62721875 |
| transcript.pyannote[40].end |
254.60721875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
239.01471875 |
| transcript.pyannote[41].end |
239.09909375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
239.33534375 |
| transcript.pyannote[42].end |
239.35221875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
254.82659375 |
| transcript.pyannote[43].end |
258.70784375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
258.84284375 |
| transcript.pyannote[44].end |
259.26471875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
259.60221875 |
| transcript.pyannote[45].end |
265.81221875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
266.03159375 |
| transcript.pyannote[46].end |
297.79034375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
269.79471875 |
| transcript.pyannote[47].end |
270.13221875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
298.26284375 |
| transcript.pyannote[48].end |
301.63784375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
301.63784375 |
| transcript.pyannote[49].end |
307.59471875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
304.54034375 |
| transcript.pyannote[50].end |
305.01284375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
307.20659375 |
| transcript.pyannote[51].end |
307.78034375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
307.67909375 |
| transcript.pyannote[52].end |
309.02909375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
308.47221875 |
| transcript.pyannote[53].end |
313.28159375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
309.83909375 |
| transcript.pyannote[54].end |
334.03784375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
314.39534375 |
| transcript.pyannote[55].end |
315.50909375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
328.08096875 |
| transcript.pyannote[56].end |
328.58721875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
334.47659375 |
| transcript.pyannote[57].end |
336.36659375 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
336.29909375 |
| transcript.pyannote[58].end |
336.77159375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
337.12596875 |
| transcript.pyannote[59].end |
340.77096875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
340.88909375 |
| transcript.pyannote[60].end |
343.42034375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
341.14221875 |
| transcript.pyannote[61].end |
341.42909375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
343.58909375 |
| transcript.pyannote[62].end |
346.77846875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
347.14971875 |
| transcript.pyannote[63].end |
351.97596875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
352.44846875 |
| transcript.pyannote[64].end |
354.43971875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
355.09784375 |
| transcript.pyannote[65].end |
375.85409375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
375.98909375 |
| transcript.pyannote[66].end |
379.76909375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
380.15721875 |
| transcript.pyannote[67].end |
407.83221875 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
408.55784375 |
| transcript.pyannote[68].end |
427.84596875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
423.01971875 |
| transcript.pyannote[69].end |
424.25159375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
427.55909375 |
| transcript.pyannote[70].end |
431.08596875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
429.66846875 |
| transcript.pyannote[71].end |
455.99346875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
436.16534375 |
| transcript.pyannote[72].end |
436.60409375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
446.72909375 |
| transcript.pyannote[73].end |
446.94846875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
454.05284375 |
| transcript.pyannote[74].end |
465.98346875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
459.19971875 |
| transcript.pyannote[75].end |
459.68909375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
466.32096875 |
| transcript.pyannote[76].end |
468.54846875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
469.20659375 |
| transcript.pyannote[77].end |
496.27409375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
486.89159375 |
| transcript.pyannote[78].end |
486.97596875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
487.02659375 |
| transcript.pyannote[79].end |
487.16159375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
494.35034375 |
| transcript.pyannote[80].end |
515.07284375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
515.57909375 |
| transcript.pyannote[81].end |
517.06409375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
517.87409375 |
| transcript.pyannote[82].end |
520.42221875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
521.63721875 |
| transcript.pyannote[83].end |
524.11784375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
524.62409375 |
| transcript.pyannote[84].end |
528.84284375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
528.33659375 |
| transcript.pyannote[85].end |
528.79221875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
528.84284375 |
| transcript.pyannote[86].end |
528.89346875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
528.89346875 |
| transcript.pyannote[87].end |
531.00284375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
528.96096875 |
| transcript.pyannote[88].end |
529.58534375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
530.86784375 |
| transcript.pyannote[89].end |
532.67346875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
531.42471875 |
| transcript.pyannote[90].end |
533.31471875 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
533.34846875 |
| transcript.pyannote[91].end |
540.35159375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
538.20846875 |
| transcript.pyannote[92].end |
570.99659375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
541.17846875 |
| transcript.pyannote[93].end |
542.93346875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
548.31659375 |
| transcript.pyannote[94].end |
552.60284375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
553.66596875 |
| transcript.pyannote[95].end |
555.06659375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
570.87846875 |
| transcript.pyannote[96].end |
574.03409375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
572.27909375 |
| transcript.pyannote[97].end |
573.29159375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
574.03409375 |
| transcript.pyannote[98].end |
577.08846875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
577.86471875 |
| transcript.pyannote[99].end |
585.15471875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
585.37409375 |
| transcript.pyannote[100].end |
599.58284375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
600.17346875 |
| transcript.pyannote[101].end |
611.26034375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
611.74971875 |
| transcript.pyannote[102].end |
614.71971875 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
615.22596875 |
| transcript.pyannote[103].end |
620.65971875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
619.14096875 |
| transcript.pyannote[104].end |
641.39909375 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
620.99721875 |
| transcript.pyannote[105].end |
623.41034375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
623.81534375 |
| transcript.pyannote[106].end |
624.16971875 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
628.00034375 |
| transcript.pyannote[107].end |
628.74284375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
641.56784375 |
| transcript.pyannote[108].end |
643.79534375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
642.54659375 |
| transcript.pyannote[109].end |
646.00596875 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
645.48284375 |
| transcript.pyannote[110].end |
646.20846875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
646.44471875 |
| transcript.pyannote[111].end |
646.74846875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
647.22096875 |
| transcript.pyannote[112].end |
650.05596875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
648.62159375 |
| transcript.pyannote[113].end |
649.26284375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
649.73534375 |
| transcript.pyannote[114].end |
654.07221875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
653.51534375 |
| transcript.pyannote[115].end |
654.88221875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
655.03409375 |
| transcript.pyannote[116].end |
666.52596875 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
655.10159375 |
| transcript.pyannote[117].end |
656.70471875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
667.09971875 |
| transcript.pyannote[118].end |
691.31534375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
692.12534375 |
| transcript.pyannote[119].end |
693.30659375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
693.81284375 |
| transcript.pyannote[120].end |
694.15034375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
695.80409375 |
| transcript.pyannote[121].end |
703.68471875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
704.15721875 |
| transcript.pyannote[122].end |
705.50721875 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
706.23284375 |
| transcript.pyannote[123].end |
706.40159375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
706.40159375 |
| transcript.pyannote[124].end |
710.85659375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
706.43534375 |
| transcript.pyannote[125].end |
706.48596875 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
710.89034375 |
| transcript.pyannote[126].end |
726.56721875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
711.26159375 |
| transcript.pyannote[127].end |
713.25284375 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
716.07096875 |
| transcript.pyannote[128].end |
719.54721875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
719.91846875 |
| transcript.pyannote[129].end |
725.38596875 |
| transcript.whisperx[0].start |
1.963 |
| transcript.whisperx[0].end |
6.604 |
| transcript.whisperx[0].text |
好 謝謝趙偉我現在請主席講主席長委員好 生日快樂謝謝 謝謝主席長OK謝謝 謝謝 謝謝我進入主題待會到我辦公室吃蛋糕 |
| transcript.whisperx[1].start |
27.737 |
| transcript.whisperx[1].end |
49.609 |
| transcript.whisperx[1].text |
小組長 剛才大家很關心我們近期中東的局勢升高如果這個美伊的戰爭擴大最令我們擔心的就是那個荷姆斯海峽被封鎖這個荷姆斯海峽是全球最重要的能源輸的運輸通道全球大約五分之一的石油與天然氣必須經過這條海峽 |
| transcript.whisperx[2].start |
51.99 |
| transcript.whisperx[2].end |
80.553 |
| transcript.whisperx[2].text |
那我國作為海島型的經濟體啊能源幾乎完全依賴進口所以一旦荷姆斯海峽遭到封鎖的話可能會影響到三個層面第一就是我們能源價格的上漲第二個通膨壓力的上升第三個我們經濟的成長可能會受到拖累所以面對每一戰爭所造成的能源價格的上漲那通膨也會上升剛才很多委員都有在關心 |
| transcript.whisperx[3].start |
81.601 |
| transcript.whisperx[3].end |
99.648 |
| transcript.whisperx[3].text |
那我國的GDP成長率預估今年看起來很樂觀7.71%所以想依照你現在因為這個不可抗力的因素加進來我國今年的經濟成長率還有這麼樂觀嗎預估你會做怎麼樣的一個下修 |
| transcript.whisperx[4].start |
100.626 |
| transcript.whisperx[4].end |
121.396 |
| transcript.whisperx[4].text |
因為我們CSP業者他預估其實還是很樂觀就是這一個重點那第二個呢其實我會下修主要會針對石油的部分因為石油的部分它如果增加10%我們是下修0.12%嘛那目前以目前我們當初初估的時候是58那現在如果說將近119的話那是成長將近一倍那一倍的話大概成長將近0.8%到9%左右0.8% |
| transcript.whisperx[5].start |
128.98 |
| transcript.whisperx[5].end |
158.028 |
| transcript.whisperx[5].text |
那所以這樣子一般的話以這一塊的部分是應該下修因為石油的因素我們就會下修百分之如果是石油的因素的部分這個部分大概會下修這個部分但是其他的部分因為CSP它一直很好而且以一二月的一個狀況出火狀況它還是非常好所以這個狀況就是整個這個第三劑所以我說第三劑它能修正的也不是很多啦 |
| transcript.whisperx[6].start |
158.708 |
| transcript.whisperx[6].end |
163.792 |
| transcript.whisperx[6].text |
局長我想你還是要做滾動式的檢討每一戰爭到底什麼時候會結束我們現在也不知道所以我一個一個分析給你聽石油天然氣會影響整個CPI指數的影響百分之十就影響0.24所以預計大概 |
| transcript.whisperx[7].start |
180.905 |
| transcript.whisperx[7].end |
198.573 |
| transcript.whisperx[7].text |
如果說戰爭持續的話大概影響的部分如果天然氣有進口的部分有問題的部分大概影響到百分之二以上百分之二以上所以可能會下修百分之二是不是還是說連那個石油的CPI往上修 |
| transcript.whisperx[8].start |
203.775 |
| transcript.whisperx[8].end |
211.762 |
| transcript.whisperx[8].text |
那我想主席講我看你的這個今年的經濟成本大幅上修到7.71%比上一次預測3.54%整整上修了4.17個百分點這個是我們歷年來最大的上修幅度是 |
| transcript.whisperx[9].start |
221.57 |
| transcript.whisperx[9].end |
238.41 |
| transcript.whisperx[9].text |
我看到你們表示說主要原因是因為台美經貿環境區域你該講的加上AI需求爆發帶動出口與投資使GDP規模將突破1兆美元本席要先表示我們經濟成長當然是好事 |
| transcript.whisperx[10].start |
239.992 |
| transcript.whisperx[10].end |
249.747 |
| transcript.whisperx[10].text |
但問題是現在免疫戰爭目前還沒有確切結束的期限不知道什麼時候會結束所以原本的預估勢必會因為免疫戰爭而必須下調我們的經濟成長率 |
| transcript.whisperx[11].start |
254.932 |
| transcript.whisperx[11].end |
269.301 |
| transcript.whisperx[11].text |
另外我們看到台美經貿環境真的趨穩了嗎本席必須提醒面對川普這位大總統的不確定性所以我們不行這麼樂觀還有台美的對等貿易協定ART是否真的會照協定的內容執行 |
| transcript.whisperx[12].start |
278.706 |
| transcript.whisperx[12].end |
300.229 |
| transcript.whisperx[12].text |
我想這些還充滿不確定的因素啊所以我們現在時隔34年我國又被納入了301條款的調查國家之一難道這些因素主計總數你都沒有列入這一次你上調到7.71%的評估因素嗎剛才講的你們都沒有加入評估因素嗎你這麼樂觀喔 |
| transcript.whisperx[13].start |
301.65 |
| transcript.whisperx[13].end |
321.07 |
| transcript.whisperx[13].text |
中東戰爭我們是還沒有納入啦當初二月中旬的時候還沒有中東戰爭但是因為那時候我現在是撇開嘛就是我剛才講的幾個因素川普的不確定性當初是重演的部分那現在縱使是說我那個但是我還是有ART和MOU有訂定 |
| transcript.whisperx[14].start |
321.71 |
| transcript.whisperx[14].end |
333.847 |
| transcript.whisperx[14].text |
所以對我們來講至少有七成以上還是有利的雖然有301條款的一個制約但是對我們來講以目前來講比當前我們在評估的時候還是有利的 |
| transcript.whisperx[15].start |
335.944 |
| transcript.whisperx[15].end |
353.965 |
| transcript.whisperx[15].text |
市長,你說今年的經濟呈現的是高成長穩通膨的格局預測CPI只有1.68%,仍低於2%的警戒線但是剛才很多委員也關心,就是我們民眾的感受 |
| transcript.whisperx[16].start |
355.186 |
| transcript.whisperx[16].end |
372.715 |
| transcript.whisperx[16].text |
其實不是這樣我們水電瓦斯都在上漲而且房租在漲另外因為這個美伊戰爭我們所帶來的我們整個這個該講交通費的上漲不管是我們的機票、車票全部都預計都會在這未來幾個月會持續上漲現在就是現在進行式一直在漲 |
| transcript.whisperx[17].start |
380.299 |
| transcript.whisperx[17].end |
407.514 |
| transcript.whisperx[17].text |
所以我們許多上幫族族的薪資成長跟不上這些生活成成本啊所以這個這些生活的成本就是這個薪資的上漲幅度太低啊所以沒有辦法落實到每一個人的生活的改善所以我們政府啊要如何的因應這些這個民生的一些問題啊這些油價上漲瓦斯上漲所帶來的這些這個問題政府要如何因應 |
| transcript.whisperx[18].start |
408.915 |
| transcript.whisperx[18].end |
437.761 |
| transcript.whisperx[18].text |
這個部分我們大概在行政院的一個物價穩定小組裡面他有折成中油還有台電還有台水那針對天然瓦斯還有一個石油的這個部分目前是雙凍漲的部分那也盡量希望能夠不要漲那這些中油台電 凍漲之後就要補貼台電對他們這些補貼的因素將來我們透過對他們的一個增資給予補償因為這些都是屬於政策的因素 |
| transcript.whisperx[19].start |
438.161 |
| transcript.whisperx[19].end |
465.617 |
| transcript.whisperx[19].text |
所以到時候要請委員您來多支持那再來就是說我們其他的部分譬如說如果說CPI的一個其他的因素我們也希望經濟部能夠透過其他的對中小企業相關的一個補助能夠讓這個來增低我現在聽到的都是補貼啦都是用補貼來這個穩住我們的物價但是我們除了補貼的政策以外 |
| transcript.whisperx[20].start |
466.517 |
| transcript.whisperx[20].end |
482.194 |
| transcript.whisperx[20].text |
還有什麼其他更好的方案那其實我也跟委員報告事實上我們最近也在研擬就那個六大社會津貼要做一個調整那所以這個部分這一次調整大概有調整弧度將近23% |
| transcript.whisperx[21].start |
484.637 |
| transcript.whisperx[21].end |
508.545 |
| transcript.whisperx[21].text |
所謂的老農津貼農民年金這些都做調整讓他們整個一個整個津貼幅度往上升大升23%是是這樣我想問你不是這個我說我們除了對於這些棕油它的虧損用這個去補貼政策去補貼它以外那另外我們真正的有效的能夠這個 |
| transcript.whisperx[22].start |
511.007 |
| transcript.whisperx[22].end |
523.924 |
| transcript.whisperx[22].text |
政府除了補貼政策以外真正有效更好的方案你們沒有想過嗎其他的政策工具沒有想過嗎比如說我講一下啦比如說稅制的調整啦 |
| transcript.whisperx[23].start |
525.757 |
| transcript.whisperx[23].end |
549.868 |
| transcript.whisperx[23].text |
調降油品的貨物稅還有能源的分散還有能源的轉型貨物稅的一個調整的減增才有貨物稅的減增弧度所以這些政策工具都有在用還有能源的分散比如說我們現在可能就是不是只有跟中東國家來採購油品其他國家也要跟他買 |
| transcript.whisperx[24].start |
551.928 |
| transcript.whisperx[24].end |
573.495 |
| transcript.whisperx[24].text |
我想這些政策工具都要用啦還有能源政策我們核能的則重啟啊我想政府都要去思考而不是每次油品上漲我們就靠補貼啊我想這個都是短期的中長期的這個因應方式我想政府還是要把它考量進去啦台電也有在演你啦另外我想請問一下我們這個 |
| transcript.whisperx[25].start |
577.932 |
| transcript.whisperx[25].end |
594.346 |
| transcript.whisperx[25].text |
平均薪資的問題我想主席講我國大約有七成的勞工領不到平均薪資根據主席總書的專報內容提到去年工業及服務企業全體收工員工每人每月經常薪資平均數為47884元較去年增加了3.09% |
| transcript.whisperx[26].start |
600.231 |
| transcript.whisperx[26].end |
608.878 |
| transcript.whisperx[26].text |
那主要是受惠於哪些產業能夠讓每人每月的平均薪資平均數能夠呈現47884元這個數字受惠於哪些產業因為很多勞工領不到這個錢啊 |
| transcript.whisperx[27].start |
615.447 |
| transcript.whisperx[27].end |
630.695 |
| transcript.whisperx[27].text |
當然是高科技產業包括金融業、資通業都是科技業跟金融業來拉高所以多數的勞工的經常薪資綜合數還是38406年增率大概3.03%徐局長你是否有統計大約我們有幾成的勞工目前領的是接近這個38406 |
| transcript.whisperx[28].start |
643.376 |
| transcript.whisperx[28].end |
666.272 |
| transcript.whisperx[28].text |
大約有幾成的勞工領到這個錢 你有沒有統計過中位數就是五成五成 其實是七成的勞工領到這個 只領到這個錢那是平均數我知道平均數是三萬八千但是有七成的勞工 他是大約領到這個錢我想你再詳細統計一下最後一個問題 請主席給我一分鐘就是我們看到 |
| transcript.whisperx[29].start |
668.134 |
| transcript.whisperx[29].end |
692.865 |
| transcript.whisperx[29].text |
這個去年前年2024年的平均薪資是49,060元中位數是38,689元但是去年是前年2024年但是去年我們看到2025年他是剛才我們提到的平均薪資是47,884那個平均的這個那個平均的 |
| transcript.whisperx[30].start |
695.888 |
| transcript.whisperx[30].end |
696.669 |
| transcript.whisperx[30].text |
中位數是38406都比2024年下降具體的原因是什麼 |
| transcript.whisperx[31].start |
706.568 |
| transcript.whisperx[31].end |
719.04 |
| transcript.whisperx[31].text |
為什麼2024年我們的平均中位數還有平均月薪比較高2025下降我們是沒有下降是會後我再提供正確的數字給委員好不好是沒有下降2025是比2024還高的 |