IVOD_ID |
159565 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159565 |
日期 |
2025-03-24 |
會議資料.會議代碼 |
委員會-11-3-20-4 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第4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 |
4 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第3會期財政委員會第4次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-24T11:54:28+08:00 |
結束時間 |
2025-03-24T12:05:16+08:00 |
影片長度 |
00:10:48 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/01f072357e67ffc0a0519e59ce25c123be2be2b26df085f91d241b1dc2f5330511b2de8b317ab69f5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
李坤城 |
委員發言時間 |
11:54:28 - 12:05:16 |
會議時間 |
2025-03-24T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第4次全體委員會議(事由:一、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。
二、審查本院委員王鴻薇等26人、委員林德福等20人、委員賴士葆等20人分別擬具「預算法增訂第八十一條之一條文草案」等3案。
【3月24日及26日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.16596875 |
transcript.pyannote[0].end |
1.02659375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
4.60409375 |
transcript.pyannote[1].end |
33.25784375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
7.23659375 |
transcript.pyannote[2].end |
7.27034375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
33.44346875 |
transcript.pyannote[3].end |
46.04909375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
46.18409375 |
transcript.pyannote[4].end |
61.33784375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
55.39784375 |
transcript.pyannote[5].end |
55.70159375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
59.80221875 |
transcript.pyannote[6].end |
60.08909375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
61.15221875 |
transcript.pyannote[7].end |
73.35284375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
73.72409375 |
transcript.pyannote[8].end |
75.95159375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
76.35659375 |
transcript.pyannote[9].end |
86.90346875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
80.92971875 |
transcript.pyannote[10].end |
81.16596875 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
87.29159375 |
transcript.pyannote[11].end |
90.36284375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
90.75096875 |
transcript.pyannote[12].end |
90.81846875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
91.07159375 |
transcript.pyannote[13].end |
97.31534375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
97.88909375 |
transcript.pyannote[14].end |
105.21284375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
105.60096875 |
transcript.pyannote[15].end |
107.89596875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
108.35159375 |
transcript.pyannote[16].end |
111.42284375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
111.94596875 |
transcript.pyannote[17].end |
116.11409375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
113.39721875 |
transcript.pyannote[18].end |
115.28721875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
116.11409375 |
transcript.pyannote[19].end |
127.97721875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
120.95721875 |
transcript.pyannote[20].end |
121.36221875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
128.65221875 |
transcript.pyannote[21].end |
153.17159375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
153.25596875 |
transcript.pyannote[22].end |
156.74909375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
156.85034375 |
transcript.pyannote[23].end |
185.43659375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
185.60534375 |
transcript.pyannote[24].end |
190.58346875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
190.81971875 |
transcript.pyannote[25].end |
190.83659375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
190.83659375 |
transcript.pyannote[26].end |
190.85346875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
190.85346875 |
transcript.pyannote[27].end |
191.05596875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
190.93784375 |
transcript.pyannote[28].end |
191.00534375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
191.05596875 |
transcript.pyannote[29].end |
191.54534375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
191.89971875 |
transcript.pyannote[30].end |
199.13909375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
199.72971875 |
transcript.pyannote[31].end |
200.28659375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
200.40471875 |
transcript.pyannote[32].end |
205.80471875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
206.10846875 |
transcript.pyannote[33].end |
210.29346875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
210.61409375 |
transcript.pyannote[34].end |
211.93034375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
212.72346875 |
transcript.pyannote[35].end |
214.07346875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
214.90034375 |
transcript.pyannote[36].end |
223.97909375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
224.62034375 |
transcript.pyannote[37].end |
224.89034375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
224.95784375 |
transcript.pyannote[38].end |
230.12159375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
230.76284375 |
transcript.pyannote[39].end |
231.87659375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
232.07909375 |
transcript.pyannote[40].end |
232.78784375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
232.88909375 |
transcript.pyannote[41].end |
233.20971875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
233.31096875 |
transcript.pyannote[42].end |
234.18846875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
234.47534375 |
transcript.pyannote[43].end |
234.81284375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
234.98159375 |
transcript.pyannote[44].end |
239.85846875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
240.06096875 |
transcript.pyannote[45].end |
240.16221875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
240.43221875 |
transcript.pyannote[46].end |
243.28409375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
244.49909375 |
transcript.pyannote[47].end |
249.56159375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
249.89909375 |
transcript.pyannote[48].end |
269.17034375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
269.55846875 |
transcript.pyannote[49].end |
270.46971875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
271.11096875 |
transcript.pyannote[50].end |
285.33659375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
285.64034375 |
transcript.pyannote[51].end |
289.40346875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
289.72409375 |
transcript.pyannote[52].end |
292.08659375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
292.45784375 |
transcript.pyannote[53].end |
296.23784375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
296.45721875 |
transcript.pyannote[54].end |
298.27971875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
297.77346875 |
transcript.pyannote[55].end |
298.12784375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
298.33034375 |
transcript.pyannote[56].end |
304.67534375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
304.23659375 |
transcript.pyannote[57].end |
309.94034375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
310.39596875 |
transcript.pyannote[58].end |
313.34909375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
313.85534375 |
transcript.pyannote[59].end |
313.88909375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
313.88909375 |
transcript.pyannote[60].end |
316.28534375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
313.93971875 |
transcript.pyannote[61].end |
314.32784375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
315.71159375 |
transcript.pyannote[62].end |
316.33596875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
316.52159375 |
transcript.pyannote[63].end |
319.57596875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
319.57596875 |
transcript.pyannote[64].end |
321.65159375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
321.28034375 |
transcript.pyannote[65].end |
323.27159375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
323.32221875 |
transcript.pyannote[66].end |
323.62596875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
324.04784375 |
transcript.pyannote[67].end |
328.90784375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
328.97534375 |
transcript.pyannote[68].end |
329.02596875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
329.21159375 |
transcript.pyannote[69].end |
336.26534375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
338.12159375 |
transcript.pyannote[70].end |
352.76909375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
351.84096875 |
transcript.pyannote[71].end |
352.27971875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
352.83659375 |
transcript.pyannote[72].end |
358.86096875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
358.94534375 |
transcript.pyannote[73].end |
358.96221875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
359.01284375 |
transcript.pyannote[74].end |
365.57721875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
360.17721875 |
transcript.pyannote[75].end |
360.58221875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
366.13409375 |
transcript.pyannote[76].end |
370.74096875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
370.23471875 |
transcript.pyannote[77].end |
378.31784375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
377.98034375 |
transcript.pyannote[78].end |
381.69284375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
382.11471875 |
transcript.pyannote[79].end |
394.38284375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
390.46784375 |
transcript.pyannote[80].end |
393.57284375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
394.50096875 |
transcript.pyannote[81].end |
404.03534375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
404.17034375 |
transcript.pyannote[82].end |
410.54909375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
410.97096875 |
transcript.pyannote[83].end |
413.50221875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
413.89034375 |
transcript.pyannote[84].end |
416.75909375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
416.84346875 |
transcript.pyannote[85].end |
421.33221875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
421.72034375 |
transcript.pyannote[86].end |
431.74409375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
431.91284375 |
transcript.pyannote[87].end |
444.13034375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
437.29596875 |
transcript.pyannote[88].end |
437.78534375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
443.45534375 |
transcript.pyannote[89].end |
444.02909375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
444.28221875 |
transcript.pyannote[90].end |
452.11221875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
450.77909375 |
transcript.pyannote[91].end |
470.40471875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
455.11596875 |
transcript.pyannote[92].end |
455.77409375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
470.70846875 |
transcript.pyannote[93].end |
472.48034375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
472.66596875 |
transcript.pyannote[94].end |
479.44971875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
479.66909375 |
transcript.pyannote[95].end |
481.08659375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
481.35659375 |
transcript.pyannote[96].end |
481.82909375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
481.82909375 |
transcript.pyannote[97].end |
483.90471875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
484.42784375 |
transcript.pyannote[98].end |
488.76471875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
489.22034375 |
transcript.pyannote[99].end |
491.53221875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
492.54471875 |
transcript.pyannote[100].end |
493.89471875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
494.55284375 |
transcript.pyannote[101].end |
497.13471875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
497.48909375 |
transcript.pyannote[102].end |
501.57284375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
501.87659375 |
transcript.pyannote[103].end |
511.49534375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
511.96784375 |
transcript.pyannote[104].end |
512.49096875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
512.99721875 |
transcript.pyannote[105].end |
516.05159375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
516.87846875 |
transcript.pyannote[106].end |
517.94159375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
518.36346875 |
transcript.pyannote[107].end |
519.17346875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
519.52784375 |
transcript.pyannote[108].end |
556.66971875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
525.70409375 |
transcript.pyannote[109].end |
526.10909375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
537.01034375 |
transcript.pyannote[110].end |
537.14534375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
537.16221875 |
transcript.pyannote[111].end |
537.36471875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
557.10846875 |
transcript.pyannote[112].end |
560.04471875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
559.26846875 |
transcript.pyannote[113].end |
561.07409375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
560.87159375 |
transcript.pyannote[114].end |
569.29221875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
570.08534375 |
transcript.pyannote[115].end |
570.33846875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
570.59159375 |
transcript.pyannote[116].end |
571.65471875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
572.11034375 |
transcript.pyannote[117].end |
574.87784375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
574.92846875 |
transcript.pyannote[118].end |
592.49534375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
592.96784375 |
transcript.pyannote[119].end |
597.03471875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
597.23721875 |
transcript.pyannote[120].end |
598.14846875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
598.19909375 |
transcript.pyannote[121].end |
600.71346875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
600.61221875 |
transcript.pyannote[122].end |
601.86096875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
602.19846875 |
transcript.pyannote[123].end |
603.95346875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
604.91534375 |
transcript.pyannote[124].end |
606.06284375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
606.34971875 |
transcript.pyannote[125].end |
613.35284375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
613.43721875 |
transcript.pyannote[126].end |
615.31034375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
615.34409375 |
transcript.pyannote[127].end |
619.81596875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
620.37284375 |
transcript.pyannote[128].end |
627.74721875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
620.52471875 |
transcript.pyannote[129].end |
621.03096875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
625.06409375 |
transcript.pyannote[130].end |
631.57784375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
631.84784375 |
transcript.pyannote[131].end |
637.23096875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
637.23096875 |
transcript.pyannote[132].end |
637.24784375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
637.24784375 |
transcript.pyannote[133].end |
637.99034375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
637.99034375 |
transcript.pyannote[134].end |
638.00721875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
639.77909375 |
transcript.pyannote[135].end |
639.79596875 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
639.79596875 |
transcript.pyannote[136].end |
639.81284375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
639.81284375 |
transcript.pyannote[137].end |
639.96471875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
639.96471875 |
transcript.pyannote[138].end |
646.14096875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
646.14096875 |
transcript.pyannote[139].end |
646.15784375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
646.64721875 |
transcript.pyannote[140].end |
646.96784375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
646.96784375 |
transcript.pyannote[141].end |
648.31784375 |
transcript.whisperx[0].start |
0.436 |
transcript.whisperx[0].end |
0.701 |
transcript.whisperx[0].text |
主席掌聲 |
transcript.whisperx[1].start |
4.619 |
transcript.whisperx[1].end |
32.112 |
transcript.whisperx[1].text |
委員好主席好辛苦了這個我先提問的問題跟剛剛這個王世堅委員的提問是一樣的因為剛剛看到報導很多這個新聞媒體的標題都寫著說最快今年九月就可以領到普發現金一萬塊了他們說是從你的資料上面推估出來的你的資料上面有寫說115年度的中央政府總預算案將於本年的八月底前送大院審議 |
transcript.whisperx[2].start |
33.573 |
transcript.whisperx[2].end |
53.452 |
transcript.whisperx[2].text |
那他是從這個推斷出來說全民最快可以到九月領到普發現金一萬塊還是剛剛你有回答了這個委員的質詢當中你有提到說最快九月可以領到現金一萬塊沒有 因為我是說這個政策的決定是要由院長來決定但是如果說這個部分預算法要把它 |
transcript.whisperx[3].start |
53.952 |
transcript.whisperx[3].end |
75.626 |
transcript.whisperx[3].text |
修正為常態化來劃現金這個部分是不可行我們是建議不要如此來做所以主計總署的建議是說不希望發現金常態化所以對於等一下有可能會討論到的這個預算法的修正案主計總署的看法 主計長的看法 |
transcript.whisperx[4].start |
76.386 |
transcript.whisperx[4].end |
96.954 |
transcript.whisperx[4].text |
因為他花現金常態化以後就失去了彈性而且花現金是針對特殊的一個目的所以我們都訂特別的條例來執行等特別條例通過以後我們才來編預算好那所以第一個主席是不支持這個運算法的這個修正案在議長所提的這個修正案就對了 |
transcript.whisperx[5].start |
97.912 |
transcript.whisperx[5].end |
110.688 |
transcript.whisperx[5].text |
我們原則上是不希望這樣子來修正因為這樣修正讓我們以後的一個政策就比較執行就沒有彈性好那第二個也沒有所謂的九月之後就可以連到普發現金一萬塊 |
transcript.whisperx[6].start |
111.994 |
transcript.whisperx[6].end |
126.282 |
transcript.whisperx[6].text |
我覺得這個要說明一下因為我看到很多媒體的標都寫成這樣子114年度的預算現在執行了我們不可能在9月發現金所以這個部分那再來另外如果115年的部分現在目前還沒有籌編預算還沒有籌編 |
transcript.whisperx[7].start |
128.68 |
transcript.whisperx[7].end |
151.781 |
transcript.whisperx[7].text |
那我想你已經說很清楚了那也讓很多媒體更了解說這個主計長的說法是怎麼樣好 那我再請教一下主計長首先我先肯定你就是說我也鼓勵我們的內閣的閣員能夠下鄉去跟民眾把政策說清楚那所以不論是這個主計長或是其他的內閣閣員 |
transcript.whisperx[8].start |
153.422 |
transcript.whisperx[8].end |
173.434 |
transcript.whisperx[8].text |
在這個行政院有哪些政策需要跟民眾說得清楚那行政院因為有什麼樣的預算受到了刪減以至於呢沒辦法做到哪些事情哪些建設遇到了阻礙我都希望除了在立法院說明之外能夠下項去說清楚所以我是肯定這個主計長包含其他的內閣的閣員到這個 |
transcript.whisperx[9].start |
176.676 |
transcript.whisperx[9].end |
198.929 |
transcript.whisperx[9].text |
下鄉去把這個政策說清楚我也歡迎啊3月30號我們在板橋下午2點U舉辦一個說明會主席長有空也歡迎主席長一起過來我們把這個政策把它說清楚好那個請教一下這個總統啊在3月21號的時候已經公佈了這個總預算跟才化法了嘛那 |
transcript.whisperx[10].start |
200.595 |
transcript.whisperx[10].end |
215.844 |
transcript.whisperx[10].text |
在公布之前當然行政院有提出致愛難行的理由,不過很可惜,副議案沒有過那您行政院所提出來致愛難行的理由也包括第一個這一次的總運算並沒有最後宣告出來說這個三減數的金額跟稅數的總額沒有嘛,對不對 |
transcript.whisperx[11].start |
225.508 |
transcript.whisperx[11].end |
239.182 |
transcript.whisperx[11].text |
這過去都沒有嘛過去都會說你三減的金額是多少總三減金額是多少稅數總額是多少今年沒有沒有那這個還有一個自行調整的差了636億元嘛對不對那請問一下這636億怎麼辦 |
transcript.whisperx[12].start |
244.551 |
transcript.whisperx[12].end |
270.181 |
transcript.whisperx[12].text |
所以這個部分我們要進行刪減部分這個部分是有困難的所以我們要整個要詢問給立法院來跟他報告說這個部分是不是可以進行協商或者是說我將來如果說要怎麼樣來做這個部分的一個刪減或者是刪減以後要將來如何追加這個部分都是需要協商的一個部分所以理論上 |
transcript.whisperx[13].start |
271.441 |
transcript.whisperx[13].end |
295.864 |
transcript.whisperx[13].text |
這個立法委員審議預算覺得說哪個預算有問題這邊刪那邊刪私書有名嘛那我看到其實那天在審訊預算的時候我覺得說那所謂的這個自行調整有差了這636億我就不知道說讓你們要怎麼自行去做調整啊因為這個東西已經嚴重的限制到說這一個行政權利嘛對不對 |
transcript.whisperx[14].start |
296.725 |
transcript.whisperx[14].end |
322.439 |
transcript.whisperx[14].text |
調整是有困難的所以如果真正刪減之後可能造成某一部分的執行或者業務執行非常的困難請問要刪誰的?要刪交通部的?要刪內政部的?這沒有辦法去做決定嘛所以局長是說這個會在行文給立法院要做這個636億要怎麼樣去做?對 進行請立法院來協助那大概哪時候會行文到立法院?大概近期就會發文了 |
transcript.whisperx[15].start |
324.127 |
transcript.whisperx[15].end |
335.838 |
transcript.whisperx[15].text |
然後呢 因為治安難行嘛 我看這個監察院他們已經致力救濟了他們預計要在今天提出這個釋憲跟暫時處分那請問一下行政院後續的救濟途徑 |
transcript.whisperx[16].start |
338.171 |
transcript.whisperx[16].end |
365.316 |
transcript.whisperx[16].text |
原則上這個部分 因為監察院它是有一些是3到0所以它有一些水電費相關的一個費用它支付有困難那所以這個部分因為事實上如果要等到6月份追加預算通過的話它還是時間太長所以我們在這當中我們就先會報請行政院來動之第二預備金來做支印那暫時支印到6月份然後等到追加預算如果有通過再行來把它補足 |
transcript.whisperx[17].start |
366.195 |
transcript.whisperx[17].end |
381.492 |
transcript.whisperx[17].text |
所以現在這部分的話就是先用這個動資第二預備金就對了我們會報行政院來申請動資第二預備金這個流程然後再來會再辦理追加預算的一個部分目前行政院的救濟程序是這樣子 |
transcript.whisperx[18].start |
382.582 |
transcript.whisperx[18].end |
409.977 |
transcript.whisperx[18].text |
另外一個救濟的一個途徑是怎麼樣這個部分我也必須要看行政院整個一個他一個研議的一個情形就你們的部分來講就是第二預備金那請問一下因為我看有很多的這個預算案的解凍的條件複雜度也蠻高難度也蠻高的說要用到這個凍結70%要執行30%之後才可以用那有些在委員會有些還要在院會 |
transcript.whisperx[19].start |
411.498 |
transcript.whisperx[19].end |
437.652 |
transcript.whisperx[19].text |
請問一下主計總署這個有沒有這個刪除或凍結預算在這裡有 我們凍結40%然後要用到剩下說就是等於說執行到這個部分才能夠去報請凍結那當中就有時間的落差那時候有一些業務就沒有辦法那你們可以提早送來立法院嗎因為我看很多委員他們現在或許有罷免的壓力了 |
transcript.whisperx[20].start |
438.852 |
transcript.whisperx[20].end |
455.381 |
transcript.whisperx[20].text |
還沒有說我們沒有刪除只是凍結啊趕快送來立法院我們解凍就好啦報告委員院長有下令大概一個月內全部把凍結的案子報到立法院請求我希望你們各部會都把被凍結的預算送來立法院是 |
transcript.whisperx[21].start |
456.661 |
transcript.whisperx[21].end |
483.189 |
transcript.whisperx[21].text |
這個雖然它有規定說你要用到多少才能報但是我認為緩不及急而且這個政策是有延續性的啊怎麼可能說我剛好用到30%最後再用70%不可能嘛希望在一個月之內把這些解凍案送來立法院我相信這個大家都可以看因為我看到很多國民黨的立委現在在這地方都在講沒有啊我們沒有刪除只是凍結啊好凍結那就來解凍看哪個委員不同意凍結嘛 |
transcript.whisperx[22].start |
485.09 |
transcript.whisperx[22].end |
493.517 |
transcript.whisperx[22].text |
不要在這個地方上是說的一套在立法院就說的是另外一套好 大家請教一下這個 足跡總數預測今年的經濟成長率是3.14% |
transcript.whisperx[23].start |
497.594 |
transcript.whisperx[23].end |
515.708 |
transcript.whisperx[23].text |
那中央銀行是下修到3.05%因為央行總裁是認為說這個美國經貿政策的不確定性有提高那我請問一下你比較樂觀你是3.14%但是如果凍結預算刪除預算對GDP有沒有影響 |
transcript.whisperx[24].start |
516.943 |
transcript.whisperx[24].end |
536.659 |
transcript.whisperx[24].text |
有 有影響有什麼樣的影響就是因為我們本身一個如果資本性的支出被刪減了那將來投資就會減少那這個整個譬如說公共建設的部分減少那也會有影響那所以這個部分呢影響的雖然就是說等於說影響差不多0.15左右啦 |
transcript.whisperx[25].start |
537.299 |
transcript.whisperx[25].end |
555.273 |
transcript.whisperx[25].text |
那但是這個還有一個636這個部分我們是還沒有把它估進去那這個部分如果再估進去還是會有影響0.2到0.3左右那這個部分呢我們如果將來有再追加它就會回來如果沒有那就是會影響到GDP整個一個情形 |
transcript.whisperx[26].start |
557.148 |
transcript.whisperx[26].end |
561.15 |
transcript.whisperx[26].text |
那所以本來是預估3.14%比較樂觀啦但是呢如果是東扣西扣有被刪除的預算有被凍結的預算那還有636億不知道怎麼辦 |
transcript.whisperx[27].start |
570.677 |
transcript.whisperx[27].end |
591.698 |
transcript.whisperx[27].text |
扣掉這些之後你還能樂觀的說能夠維持在3%以上嗎因為這個部分目前就是說原來那個美國的一個部分這個變動的因素也還沒有完全扣進去所以這個部分但是我們一二月的出口的狀況非常的好所以這個部分應該我們今年的一個經濟是穩定的成長的 |
transcript.whisperx[28].start |
593.075 |
transcript.whisperx[28].end |
617.395 |
transcript.whisperx[28].text |
但是整個凍結跟刪除預算大概你這樣加一加大概會影響到幾%0.2到0.3左右啦0.2到0.3那扣掉的話就沒有3了啊保3就很難啊我們會盡量這個部分因為像出口部分是狀況即使是今年真的還不錯一二月都還不錯那再請教一下最後一個問題在野黨現在要砍掉2000億台幣的補助對於CPI有沒有影響 |
transcript.whisperx[29].start |
620.657 |
transcript.whisperx[29].end |
636.67 |
transcript.whisperx[29].text |
時間到了再三十秒讓主計長來回答一下就好了也是會有影響大概有可能如果這樣的話有可能會超過二啦會超過二就對了謝謝李委員的資訊下一位請顏光文跟主計長報告啊你不可以針對不同委員的答案不一樣啊我剛才問你的時候 |