IVOD_ID |
159033 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159033 |
日期 |
2025-03-12 |
會議資料.會議代碼 |
全院委員會-11-3-2 |
會議資料.會議代碼:str |
第11屆第3會期第2次全院委員會會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
2 |
會議資料.種類 |
全院委員會 |
會議資料.標題 |
第11屆第3會期第2次全院委員會會議 |
影片種類 |
Clip |
開始時間 |
2025-03-12T15:19:08+08:00 |
結束時間 |
2025-03-12T15:34:51+08:00 |
影片長度 |
00:15:43 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/068df7098ba6a5ffdaea175462e936dd42177c27e96a00456e1b84427e832226e7f4644ce7aaae0d5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
林思銘 |
委員發言時間 |
15:19:08 - 15:34:51 |
會議時間 |
2025-03-12T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第2次全院委員會會議(事由:一、「中華民國114年度中央政府總預算案」覆議案(3月11日)。二、「財政收支劃分法」第八條、第十六條之一及第三十條條文覆議案(3月12日)。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
7.16909375 |
transcript.pyannote[0].end |
9.58221875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
9.75096875 |
transcript.pyannote[1].end |
11.80971875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
12.14721875 |
transcript.pyannote[2].end |
13.73346875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
21.95159375 |
transcript.pyannote[3].end |
23.21721875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
21.98534375 |
transcript.pyannote[4].end |
22.30596875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
24.38159375 |
transcript.pyannote[5].end |
31.53659375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
33.02159375 |
transcript.pyannote[6].end |
33.64596875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
33.76409375 |
transcript.pyannote[7].end |
37.61159375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
38.06721875 |
transcript.pyannote[8].end |
39.09659375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
39.36659375 |
transcript.pyannote[9].end |
52.22534375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
47.33159375 |
transcript.pyannote[10].end |
49.08659375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
52.44471875 |
transcript.pyannote[11].end |
57.23721875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
57.96284375 |
transcript.pyannote[12].end |
63.70034375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
58.30034375 |
transcript.pyannote[13].end |
59.61659375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
63.73409375 |
transcript.pyannote[14].end |
67.22721875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
67.69971875 |
transcript.pyannote[15].end |
69.30284375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
69.87659375 |
transcript.pyannote[16].end |
71.59784375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
72.27284375 |
transcript.pyannote[17].end |
73.25159375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
74.31471875 |
transcript.pyannote[18].end |
75.42846875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
76.08659375 |
transcript.pyannote[19].end |
83.25846875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
83.29221875 |
transcript.pyannote[20].end |
84.33846875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
84.84471875 |
transcript.pyannote[21].end |
86.39721875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
86.54909375 |
transcript.pyannote[22].end |
91.76346875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
92.11784375 |
transcript.pyannote[23].end |
93.11346875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
92.47221875 |
transcript.pyannote[24].end |
92.60721875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
93.11346875 |
transcript.pyannote[25].end |
98.04096875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
98.74971875 |
transcript.pyannote[26].end |
109.83659375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
110.35971875 |
transcript.pyannote[27].end |
114.29159375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
115.01721875 |
transcript.pyannote[28].end |
118.25721875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
119.06721875 |
transcript.pyannote[29].end |
122.74596875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
123.70784375 |
transcript.pyannote[30].end |
124.43346875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
125.49659375 |
transcript.pyannote[31].end |
129.78284375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
130.12034375 |
transcript.pyannote[32].end |
131.52096875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
132.16221875 |
transcript.pyannote[33].end |
133.71471875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
134.44034375 |
transcript.pyannote[34].end |
139.50284375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
140.41409375 |
transcript.pyannote[35].end |
142.33784375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
142.33784375 |
transcript.pyannote[36].end |
142.37159375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
144.17721875 |
transcript.pyannote[37].end |
146.16846875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
146.77596875 |
transcript.pyannote[38].end |
153.00284375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
153.61034375 |
transcript.pyannote[39].end |
158.53784375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
158.75721875 |
transcript.pyannote[40].end |
158.77409375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
158.77409375 |
transcript.pyannote[41].end |
159.07784375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
159.63471875 |
transcript.pyannote[42].end |
166.45221875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
162.63846875 |
transcript.pyannote[43].end |
163.58346875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
164.03909375 |
transcript.pyannote[44].end |
164.91659375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
166.40159375 |
transcript.pyannote[45].end |
172.67909375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
173.06721875 |
transcript.pyannote[46].end |
176.15534375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
176.25659375 |
transcript.pyannote[47].end |
194.11034375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
194.17784375 |
transcript.pyannote[48].end |
196.45596875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
196.60784375 |
transcript.pyannote[49].end |
237.52971875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
209.02784375 |
transcript.pyannote[50].end |
209.44971875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
230.12159375 |
transcript.pyannote[51].end |
230.99909375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
232.06221875 |
transcript.pyannote[52].end |
232.92284375 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
233.59784375 |
transcript.pyannote[53].end |
234.12096875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
234.49221875 |
transcript.pyannote[54].end |
244.93784375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
242.65971875 |
transcript.pyannote[55].end |
243.35159375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
245.30909375 |
transcript.pyannote[56].end |
248.32971875 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
249.05534375 |
transcript.pyannote[57].end |
252.14346875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
252.58221875 |
transcript.pyannote[58].end |
259.60221875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
260.02409375 |
transcript.pyannote[59].end |
264.63096875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
264.86721875 |
transcript.pyannote[60].end |
268.44471875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
269.40659375 |
transcript.pyannote[61].end |
270.60471875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
271.24596875 |
transcript.pyannote[62].end |
277.86096875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
277.96221875 |
transcript.pyannote[63].end |
280.86471875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
281.62409375 |
transcript.pyannote[64].end |
292.98096875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
294.63471875 |
transcript.pyannote[65].end |
298.02659375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
298.02659375 |
transcript.pyannote[66].end |
298.56659375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
299.15721875 |
transcript.pyannote[67].end |
299.19096875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
299.19096875 |
transcript.pyannote[68].end |
299.83221875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
299.83221875 |
transcript.pyannote[69].end |
299.88284375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
299.89971875 |
transcript.pyannote[70].end |
299.96721875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
299.96721875 |
transcript.pyannote[71].end |
300.69284375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
301.21596875 |
transcript.pyannote[72].end |
304.15221875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
304.84409375 |
transcript.pyannote[73].end |
307.30784375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
307.56096875 |
transcript.pyannote[74].end |
314.34471875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
314.63159375 |
transcript.pyannote[75].end |
320.87534375 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
314.71596875 |
transcript.pyannote[76].end |
314.78346875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
314.80034375 |
transcript.pyannote[77].end |
314.83409375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
321.55034375 |
transcript.pyannote[78].end |
327.96284375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
323.86221875 |
transcript.pyannote[79].end |
323.98034375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
327.96284375 |
transcript.pyannote[80].end |
333.80159375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
334.22346875 |
transcript.pyannote[81].end |
339.33659375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
340.18034375 |
transcript.pyannote[82].end |
345.46221875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
346.06971875 |
transcript.pyannote[83].end |
348.17909375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
348.68534375 |
transcript.pyannote[84].end |
351.03096875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
351.03096875 |
transcript.pyannote[85].end |
351.63846875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
351.63846875 |
transcript.pyannote[86].end |
351.84096875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
351.84096875 |
transcript.pyannote[87].end |
354.23721875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
354.54096875 |
transcript.pyannote[88].end |
358.92846875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
359.13096875 |
transcript.pyannote[89].end |
365.74596875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
365.94846875 |
transcript.pyannote[90].end |
368.29409375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
368.76659375 |
transcript.pyannote[91].end |
369.94784375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
370.42034375 |
transcript.pyannote[92].end |
371.70284375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
371.97284375 |
transcript.pyannote[93].end |
374.18346875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
374.30159375 |
transcript.pyannote[94].end |
375.09471875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
375.28034375 |
transcript.pyannote[95].end |
375.88784375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
375.95534375 |
transcript.pyannote[96].end |
378.08159375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
377.62596875 |
transcript.pyannote[97].end |
382.94159375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
382.94159375 |
transcript.pyannote[98].end |
383.78534375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
382.95846875 |
transcript.pyannote[99].end |
384.44346875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
384.44346875 |
transcript.pyannote[100].end |
390.24846875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
390.45096875 |
transcript.pyannote[101].end |
398.31471875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
394.85534375 |
transcript.pyannote[102].end |
396.47534375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
398.28096875 |
transcript.pyannote[103].end |
410.95409375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
409.04721875 |
transcript.pyannote[104].end |
409.57034375 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
411.37596875 |
transcript.pyannote[105].end |
415.94909375 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
417.61971875 |
transcript.pyannote[106].end |
422.32784375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
423.01971875 |
transcript.pyannote[107].end |
425.29784375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
425.60159375 |
transcript.pyannote[108].end |
425.83784375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
425.83784375 |
transcript.pyannote[109].end |
425.85471875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
425.95596875 |
transcript.pyannote[110].end |
425.97284375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
425.97284375 |
transcript.pyannote[111].end |
427.50846875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
427.50846875 |
transcript.pyannote[112].end |
427.52534375 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
427.67721875 |
transcript.pyannote[113].end |
427.71096875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
427.71096875 |
transcript.pyannote[114].end |
429.61784375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
429.61784375 |
transcript.pyannote[115].end |
429.65159375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
432.04784375 |
transcript.pyannote[116].end |
439.75971875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
438.07221875 |
transcript.pyannote[117].end |
441.48096875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
440.62034375 |
transcript.pyannote[118].end |
443.05034375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
444.45096875 |
transcript.pyannote[119].end |
449.24346875 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
449.41221875 |
transcript.pyannote[120].end |
457.02284375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
457.84971875 |
transcript.pyannote[121].end |
460.16159375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
460.63409375 |
transcript.pyannote[122].end |
467.60346875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
467.60346875 |
transcript.pyannote[123].end |
471.70409375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
472.00784375 |
transcript.pyannote[124].end |
474.64034375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
474.84284375 |
transcript.pyannote[125].end |
475.77096875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
475.93971875 |
transcript.pyannote[126].end |
476.56409375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
476.66534375 |
transcript.pyannote[127].end |
478.43721875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
478.08284375 |
transcript.pyannote[128].end |
478.36971875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
478.94346875 |
transcript.pyannote[129].end |
479.36534375 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
479.77034375 |
transcript.pyannote[130].end |
483.93846875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
484.14096875 |
transcript.pyannote[131].end |
487.49909375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
488.14034375 |
transcript.pyannote[132].end |
490.46909375 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
491.71784375 |
transcript.pyannote[133].end |
493.33784375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
493.59096875 |
transcript.pyannote[134].end |
494.28284375 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
494.58659375 |
transcript.pyannote[135].end |
500.25659375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
498.43409375 |
transcript.pyannote[136].end |
505.82534375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
506.06159375 |
transcript.pyannote[137].end |
509.21721875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
509.25096875 |
transcript.pyannote[138].end |
510.14534375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
510.48284375 |
transcript.pyannote[139].end |
510.76971875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
511.03971875 |
transcript.pyannote[140].end |
519.84846875 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
516.92909375 |
transcript.pyannote[141].end |
517.75596875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
519.84846875 |
transcript.pyannote[142].end |
519.88221875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
519.88221875 |
transcript.pyannote[143].end |
519.89909375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
520.08471875 |
transcript.pyannote[144].end |
520.96221875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
520.96221875 |
transcript.pyannote[145].end |
521.09721875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
521.13096875 |
transcript.pyannote[146].end |
521.16471875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
521.18159375 |
transcript.pyannote[147].end |
521.21534375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
521.21534375 |
transcript.pyannote[148].end |
530.37846875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
521.26596875 |
transcript.pyannote[149].end |
522.16034375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
529.45034375 |
transcript.pyannote[150].end |
533.02784375 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
532.53846875 |
transcript.pyannote[151].end |
533.01096875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
533.02784375 |
transcript.pyannote[152].end |
533.09534375 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
533.26409375 |
transcript.pyannote[153].end |
537.73596875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
538.29284375 |
transcript.pyannote[154].end |
539.79471875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
540.18284375 |
transcript.pyannote[155].end |
550.32471875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
544.90784375 |
transcript.pyannote[156].end |
547.08471875 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
550.93221875 |
transcript.pyannote[157].end |
557.36159375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
554.69534375 |
transcript.pyannote[158].end |
556.78784375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
557.47971875 |
transcript.pyannote[159].end |
564.46596875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
561.42846875 |
transcript.pyannote[160].end |
564.70221875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
564.70221875 |
transcript.pyannote[161].end |
568.02659375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
564.80346875 |
transcript.pyannote[162].end |
565.47846875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
568.19534375 |
transcript.pyannote[163].end |
572.51534375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
569.71409375 |
transcript.pyannote[164].end |
570.15284375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
572.85284375 |
transcript.pyannote[165].end |
576.27846875 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
575.72159375 |
transcript.pyannote[166].end |
577.13909375 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
577.34159375 |
transcript.pyannote[167].end |
585.03659375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
579.38346875 |
transcript.pyannote[168].end |
579.85596875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
585.03659375 |
transcript.pyannote[169].end |
589.59284375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
590.36909375 |
transcript.pyannote[170].end |
594.97596875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
594.97596875 |
transcript.pyannote[171].end |
595.33034375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
595.83659375 |
transcript.pyannote[172].end |
595.85346875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
595.85346875 |
transcript.pyannote[173].end |
606.45096875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
597.50721875 |
transcript.pyannote[174].end |
597.96284375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
597.96284375 |
transcript.pyannote[175].end |
598.50284375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
606.73784375 |
transcript.pyannote[176].end |
630.61596875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
631.08846875 |
transcript.pyannote[177].end |
656.13096875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
649.39784375 |
transcript.pyannote[178].end |
649.83659375 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
650.20784375 |
transcript.pyannote[179].end |
650.73096875 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
653.29596875 |
transcript.pyannote[180].end |
653.88659375 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
654.61221875 |
transcript.pyannote[181].end |
655.05096875 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
655.55721875 |
transcript.pyannote[182].end |
657.21096875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
657.00846875 |
transcript.pyannote[183].end |
657.39659375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
657.43034375 |
transcript.pyannote[184].end |
662.22284375 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
662.59409375 |
transcript.pyannote[185].end |
668.61846875 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
669.36096875 |
transcript.pyannote[186].end |
672.17909375 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
672.39846875 |
transcript.pyannote[187].end |
676.36409375 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
676.78596875 |
transcript.pyannote[188].end |
680.19471875 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
680.44784375 |
transcript.pyannote[189].end |
685.69596875 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
686.15159375 |
transcript.pyannote[190].end |
689.98221875 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
690.21846875 |
transcript.pyannote[191].end |
693.91409375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
694.16721875 |
transcript.pyannote[192].end |
697.15409375 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
697.64346875 |
transcript.pyannote[193].end |
699.17909375 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
699.44909375 |
transcript.pyannote[194].end |
701.03534375 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
701.47409375 |
transcript.pyannote[195].end |
702.40221875 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
702.84096875 |
transcript.pyannote[196].end |
707.51534375 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
708.12284375 |
transcript.pyannote[197].end |
710.73846875 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
710.97471875 |
transcript.pyannote[198].end |
718.18034375 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
718.46721875 |
transcript.pyannote[199].end |
724.01909375 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
724.49159375 |
transcript.pyannote[200].end |
727.41096875 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
727.83284375 |
transcript.pyannote[201].end |
730.95471875 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
732.05159375 |
transcript.pyannote[202].end |
735.59534375 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
735.93284375 |
transcript.pyannote[203].end |
740.99534375 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
741.36659375 |
transcript.pyannote[204].end |
743.12159375 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
743.76284375 |
transcript.pyannote[205].end |
746.07471875 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
746.66534375 |
transcript.pyannote[206].end |
749.24721875 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
749.82096875 |
transcript.pyannote[207].end |
753.61784375 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
754.14096875 |
transcript.pyannote[208].end |
760.97534375 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
761.39721875 |
transcript.pyannote[209].end |
765.36284375 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
765.53159375 |
transcript.pyannote[210].end |
768.01221875 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
768.60284375 |
transcript.pyannote[211].end |
772.60221875 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
773.09159375 |
transcript.pyannote[212].end |
776.48346875 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
777.12471875 |
transcript.pyannote[213].end |
780.97221875 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
781.46159375 |
transcript.pyannote[214].end |
784.88721875 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
785.25846875 |
transcript.pyannote[215].end |
791.73846875 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
791.78909375 |
transcript.pyannote[216].end |
793.00409375 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
793.35846875 |
transcript.pyannote[217].end |
794.64096875 |
transcript.pyannote[218].speaker |
SPEAKER_02 |
transcript.pyannote[218].start |
794.94471875 |
transcript.pyannote[218].end |
795.53534375 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
795.82221875 |
transcript.pyannote[219].end |
797.44221875 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
797.52659375 |
transcript.pyannote[220].end |
800.15909375 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
800.76659375 |
transcript.pyannote[221].end |
801.42471875 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
802.21784375 |
transcript.pyannote[222].end |
803.04471875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
803.43284375 |
transcript.pyannote[223].end |
805.00221875 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
805.45784375 |
transcript.pyannote[224].end |
806.85846875 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
807.55034375 |
transcript.pyannote[225].end |
808.56284375 |
transcript.pyannote[226].speaker |
SPEAKER_01 |
transcript.pyannote[226].start |
809.82846875 |
transcript.pyannote[226].end |
811.56659375 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
811.95471875 |
transcript.pyannote[227].end |
813.76034375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
813.96284375 |
transcript.pyannote[228].end |
816.02159375 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
815.53221875 |
transcript.pyannote[229].end |
816.08909375 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
816.84846875 |
transcript.pyannote[230].end |
816.94971875 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
816.94971875 |
transcript.pyannote[231].end |
816.96659375 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
816.96659375 |
transcript.pyannote[232].end |
824.77971875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
818.51909375 |
transcript.pyannote[233].end |
818.90721875 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
824.83034375 |
transcript.pyannote[234].end |
831.54659375 |
transcript.pyannote[235].speaker |
SPEAKER_02 |
transcript.pyannote[235].start |
832.42409375 |
transcript.pyannote[235].end |
836.47409375 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
836.82846875 |
transcript.pyannote[236].end |
837.40221875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
838.24596875 |
transcript.pyannote[237].end |
838.66784375 |
transcript.pyannote[238].speaker |
SPEAKER_02 |
transcript.pyannote[238].start |
839.41034375 |
transcript.pyannote[238].end |
841.26659375 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
841.73909375 |
transcript.pyannote[239].end |
844.89471875 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
845.58659375 |
transcript.pyannote[240].end |
847.52721875 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
848.01659375 |
transcript.pyannote[241].end |
852.70784375 |
transcript.pyannote[242].speaker |
SPEAKER_02 |
transcript.pyannote[242].start |
853.07909375 |
transcript.pyannote[242].end |
854.10846875 |
transcript.pyannote[243].speaker |
SPEAKER_02 |
transcript.pyannote[243].start |
854.69909375 |
transcript.pyannote[243].end |
857.44971875 |
transcript.pyannote[244].speaker |
SPEAKER_02 |
transcript.pyannote[244].start |
858.19221875 |
transcript.pyannote[244].end |
860.77409375 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
861.04409375 |
transcript.pyannote[245].end |
863.22096875 |
transcript.pyannote[246].speaker |
SPEAKER_02 |
transcript.pyannote[246].start |
863.40659375 |
transcript.pyannote[246].end |
866.32596875 |
transcript.pyannote[247].speaker |
SPEAKER_02 |
transcript.pyannote[247].start |
867.18659375 |
transcript.pyannote[247].end |
879.47159375 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
875.45534375 |
transcript.pyannote[248].end |
875.48909375 |
transcript.pyannote[249].speaker |
SPEAKER_01 |
transcript.pyannote[249].start |
875.48909375 |
transcript.pyannote[249].end |
875.97846875 |
transcript.pyannote[250].speaker |
SPEAKER_02 |
transcript.pyannote[250].start |
880.61909375 |
transcript.pyannote[250].end |
881.71596875 |
transcript.pyannote[251].speaker |
SPEAKER_02 |
transcript.pyannote[251].start |
882.37409375 |
transcript.pyannote[251].end |
884.66909375 |
transcript.pyannote[252].speaker |
SPEAKER_01 |
transcript.pyannote[252].start |
882.52596875 |
transcript.pyannote[252].end |
884.63534375 |
transcript.pyannote[253].speaker |
SPEAKER_01 |
transcript.pyannote[253].start |
884.66909375 |
transcript.pyannote[253].end |
884.83784375 |
transcript.pyannote[254].speaker |
SPEAKER_02 |
transcript.pyannote[254].start |
884.83784375 |
transcript.pyannote[254].end |
887.14971875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
885.12471875 |
transcript.pyannote[255].end |
886.69409375 |
transcript.pyannote[256].speaker |
SPEAKER_02 |
transcript.pyannote[256].start |
887.65596875 |
transcript.pyannote[256].end |
893.15721875 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
888.80346875 |
transcript.pyannote[257].end |
902.91096875 |
transcript.pyannote[258].speaker |
SPEAKER_02 |
transcript.pyannote[258].start |
894.22034375 |
transcript.pyannote[258].end |
895.26659375 |
transcript.pyannote[259].speaker |
SPEAKER_02 |
transcript.pyannote[259].start |
896.46471875 |
transcript.pyannote[259].end |
898.06784375 |
transcript.pyannote[260].speaker |
SPEAKER_02 |
transcript.pyannote[260].start |
898.40534375 |
transcript.pyannote[260].end |
898.48971875 |
transcript.pyannote[261].speaker |
SPEAKER_02 |
transcript.pyannote[261].start |
898.60784375 |
transcript.pyannote[261].end |
899.75534375 |
transcript.pyannote[262].speaker |
SPEAKER_02 |
transcript.pyannote[262].start |
902.37096875 |
transcript.pyannote[262].end |
911.90534375 |
transcript.pyannote[263].speaker |
SPEAKER_01 |
transcript.pyannote[263].start |
912.36096875 |
transcript.pyannote[263].end |
915.12846875 |
transcript.pyannote[264].speaker |
SPEAKER_02 |
transcript.pyannote[264].start |
913.42409375 |
transcript.pyannote[264].end |
916.32659375 |
transcript.pyannote[265].speaker |
SPEAKER_02 |
transcript.pyannote[265].start |
916.56284375 |
transcript.pyannote[265].end |
917.47409375 |
transcript.pyannote[266].speaker |
SPEAKER_02 |
transcript.pyannote[266].start |
918.03096875 |
transcript.pyannote[266].end |
926.29971875 |
transcript.pyannote[267].speaker |
SPEAKER_01 |
transcript.pyannote[267].start |
924.67971875 |
transcript.pyannote[267].end |
925.92846875 |
transcript.pyannote[268].speaker |
SPEAKER_02 |
transcript.pyannote[268].start |
933.16784375 |
transcript.pyannote[268].end |
935.93534375 |
transcript.pyannote[269].speaker |
SPEAKER_02 |
transcript.pyannote[269].start |
936.39096875 |
transcript.pyannote[269].end |
939.37784375 |
transcript.whisperx[0].start |
8.314 |
transcript.whisperx[0].end |
13.757 |
transcript.whisperx[0].text |
好 謝謝副院長我們請行政院卓院長請卓院長答詢林委員好卓院長好院長我首先還是直求對決請問你到底支不支持財政收支劃分法的修正 |
transcript.whisperx[1].start |
33.109 |
transcript.whisperx[1].end |
56.943 |
transcript.whisperx[1].text |
修正你支不支持這一次的就是財政收支劃分法要修你贊不贊成我剛說過雖然逐年來我們對地方的挹注比較多但是討論如何讓地方財政能夠更有自主在合理的討論下我們都歡迎我們也都願意積極的參與這樣的討論甚至我們也有一個想法好所以你是這就是你贊成修法嗎你是認為要修的 |
transcript.whisperx[2].start |
58.001 |
transcript.whisperx[2].end |
75.139 |
transcript.whisperx[2].text |
因為各地都有這樣聲音我們不能去背著大家的意志但是一定要合理的去討論所以你認為要合理討論來修法但是截至目前為止行政院的版本到底完成了沒有我們有很多的方案 |
transcript.whisperx[3].start |
76.501 |
transcript.whisperx[3].end |
96.496 |
transcript.whisperx[3].text |
我已經報告過這個方案在12月24號表決之前我們都希望能夠有機會來這裡透過黨團協商來談但是那個禮拜大院發生了一些比較秩序上的問題所以一直沒有辦法有效的展開各種的協商這也是我覺得非常遺憾的地方院長我們來看一下在本屆第一會期開始 |
transcript.whisperx[4].start |
98.823 |
transcript.whisperx[4].end |
124.182 |
transcript.whisperx[4].text |
在我們財政委員會總共就有我們藍綠白等委員總共提案了26個財政收支劃分法修法的一個版本那麼在討論的過程中我想部長也非常了解大家一直在等待的就是行政院的版本也就是剛才院長講的所謂的行政院的方案那麼最後 |
transcript.whisperx[5].start |
125.506 |
transcript.whisperx[5].end |
142.051 |
transcript.whisperx[5].text |
我們在財政委員會也從善如流包含本席在內我們連署了一個臨時提案那麼臨時提案的內容就是要求財政部在第二會期開議前提出願板請問為何一直沒有提出來 |
transcript.whisperx[6].start |
144.352 |
transcript.whisperx[6].end |
158.833 |
transcript.whisperx[6].text |
財政部一直很努力在就這個法案的內容在做精算但是更重要比較難的工作是跟各地方政府做更好的溝通這個工作一直在進行這不是一朝一夕可以完成的好 |
transcript.whisperx[7].start |
160.17 |
transcript.whisperx[7].end |
179.464 |
transcript.whisperx[7].text |
院長當然也給你們很衝突的時間部長您也講一下為什麼一直沒有提出來跟委員報告財政收支劃分法其實除了跟中央跟地方的權責劃分還有地方跟地方之間的一個如何的分配我們一直認為說我們應該要充分的溝通 |
transcript.whisperx[8].start |
179.884 |
transcript.whisperx[8].end |
195.83 |
transcript.whisperx[8].text |
得到最大的共識所以我們事實上從113年的年初開始請各地方政府對於分配的指標提出意見總共有80幾個指標那財政部一直不斷的跟地方政府在溝通最後也有一個初步的共識在指標的部分我們就把它濃縮了 |
transcript.whisperx[9].start |
196.71 |
transcript.whisperx[9].end |
205.676 |
transcript.whisperx[9].text |
只有三個有爭議接下來是有關各個指標的權重要怎麼分配以及指標裡面要不要更細緻的去做調整係數我們認為都應該要詳細的規劃審慎的一個進行所以上次財委會要求我們在 |
transcript.whisperx[10].start |
213.821 |
transcript.whisperx[10].end |
239.939 |
transcript.whisperx[10].text |
上個會期能夠提出草案事實上我們在當時也一直很說明說我們認為財化法固然可以修正但是不要倉促的修正我們應該要好好的討論有一個共識過去25年為什麼沒有能夠修法完整就是沒有共識所以我覺得這個部分不需要去這麼倉促那3月6號我們也在開會所以努力是一直在做說明的我也贊同您的說法就是說當然要 |
transcript.whisperx[11].start |
240.88 |
transcript.whisperx[11].end |
267.75 |
transcript.whisperx[11].text |
去很仔細的再去做這個相關的一個研究但是我比較好奇的說現在要復翼囉現在在復翼的前夕了馬上就要復翼囉現在院長我剛才聽到您從早上到現在您答覆幾位我們委員的這個諮詢你都一直要求說請求委員支持本次行政院的復翼讓行政院可以提出版本 |
transcript.whisperx[12].start |
269.451 |
transcript.whisperx[12].end |
298.085 |
transcript.whisperx[12].text |
但是行政院截至目前為止有提供任何的版本給我們立法委員來做一個相關的一個參考或審議嗎到復議的前夕你有提出版本來嗎時間已經那麼久了我贊成剛才部長你講的喔充分的去讓你們有時間去做跟地方政府來做相關的一個研擬但時間已經那麼久一年多了耶所以政府的誠信在哪裡可以這樣一言再言一拖再拖嗎 |
transcript.whisperx[13].start |
299.212 |
transcript.whisperx[13].end |
320.555 |
transcript.whisperx[13].text |
委員我必須說我們在總統召開院計協商之前我們跟立法院也有相當的接觸我就不講什麼方式那時候我們提出說在今年那個是去年的事情在今年的六月我們會提出一個版本後來在協商的一兩天當中希望我們在上個會期結束之前提出版本我也答應了 |
transcript.whisperx[14].start |
321.596 |
transcript.whisperx[14].end |
345.148 |
transcript.whisperx[14].text |
我也答應了這個無需求證我也答應了但是12月20號就發生了表決的事情後來就沒辦法進行院長您剛才提到我也有參與所以我也了解您剛才說的所以我現在很遺憾的是說到現在馬上要復議了但是您說您也答應了在年底就要提出版本到現在都沒有看到版本 |
transcript.whisperx[15].start |
346.304 |
transcript.whisperx[15].end |
371.209 |
transcript.whisperx[15].text |
這到底行政院是到底是有方案還是沒有方案你到底準備好了沒有如果到那時候所說的在今年的六月或是下半年我們提出一個完整的版本那時間上是更充裕如果在上個會期那提出的版本就是提出一個可以被討論的版本那內容可能還要大大的調整在目前為止我們就希望利用這段時間財政部也在不久前3月6號吧 |
transcript.whisperx[16].start |
372.029 |
transcript.whisperx[16].end |
393.811 |
transcript.whisperx[16].text |
跟地方政府做了幾次的溝通把問題漸漸的收斂下來那目前這個工作還在進行所以現在還在進行所以到現在為止你都沒有版本你的方案還是沒有出來有幾個方案所謂的行政院版本一定要經過院會我們有幾個方案這個方案如果跟地方溝通大家取得共識我們就會循程序成為行政院的版本 |
transcript.whisperx[17].start |
394.171 |
transcript.whisperx[17].end |
422.163 |
transcript.whisperx[17].text |
或者再經過立法院的朝野協商讓它成為一個大家的共識所以院長我也贊同你這樣的說法你也希望趕快提出版本嘛對不對所以你認為就是你看一開始也回答我你認為還是要做相關合理的一個修正嘛我們是一致的但是院長我看在去年的10月15號我們看一段影片您答覆在我們本院答覆委員的一個質詢來 放影片 |
transcript.whisperx[18].start |
423.049 |
transcript.whisperx[18].end |
442.748 |
transcript.whisperx[18].text |
沒有版本 現行的版本我一直強調現在是最好的版本我們看不到更好的版本所以院長您當時回答您的服務員 現在的版本就是最好的版本我一直說是執行起來最有把握的版本在今天要復印以前 |
transcript.whisperx[19].start |
444.702 |
transcript.whisperx[19].end |
459.869 |
transcript.whisperx[19].text |
您就跟我們講說您的版本您有在準備一直在找各個部會財政部找各縣市甚至在3月6號您也找各縣市來做相關的一個討論所以截至目前為止都看不到版本 |
transcript.whisperx[20].start |
460.729 |
transcript.whisperx[20].end |
487.395 |
transcript.whisperx[20].text |
所以您的意見是不是剛才你又打臉你自己了你根本就是認為現行的版本就是最好的版本現行應該只有一個版本啦我是認為它執行起來是最有把握的但是如果要來調整如果經過合理的這個大家的商量溝通我們很多的方式都在裡面院長我最後這個再給你一次機會請你誠實的告訴國人現在到底行政院的版本已經準備好了沒有 |
transcript.whisperx[21].start |
488.67 |
transcript.whisperx[21].end |
490.324 |
transcript.whisperx[21].text |
沒有的話我們如何跟地方談呢 |
transcript.whisperx[22].start |
491.809 |
transcript.whisperx[22].end |
520.251 |
transcript.whisperx[22].text |
所以準備好了有方案有方案那為什麼今天沒有辦法提出給我們本院來做一個審議今天不是在協商這個方案我們今天希望透過賦予的方式讓大家回到現狀我們再把我們的版本跟地方再溝通更好之後提出來一個那如果理想就是朝野各黨團能夠形成一個共識那這個就是立法院跟行政院共同的一個版本你已經準備好了你也有版本是 |
transcript.whisperx[23].start |
521.312 |
transcript.whisperx[23].end |
549.181 |
transcript.whisperx[23].text |
我們有方案還不至於成為版本因為最後還要細修但是你要等到復議之後你才提出來依照你剛剛的說法你是這樣子復議之後重新來審視的時候我們就加快把它形成所以院長你這個說法我們就覺得我們對立法委員非常的不尊重既然要提復議你又不願意在復議之前跟我們所有的國會的立法委員復議之後我們當然要做這樣的努力把你的版本提出來讓大家來檢視 |
transcript.whisperx[24].start |
551.184 |
transcript.whisperx[24].end |
572.09 |
transcript.whisperx[24].text |
來做充分的跟每位委員做充分的溝通跟協調行政院是這樣子來跟立法院溝通的嗎對你方案那麼多為什麼沒有辦法跟立法委員做充分的溝通到現在我們今天要做成復議的決定了你還不知道行政院的版本是什麼 |
transcript.whisperx[25].start |
573.01 |
transcript.whisperx[25].end |
589.264 |
transcript.whisperx[25].text |
今天討論是不一樣我們是針對現行修法過得不一樣當然有一個前提啊 院長如果不知道您現在提出來的版本是不是會優於我們現在修法的版本我們如何來決定我要投這個票我們先提出的是目前自在難行之處 |
transcript.whisperx[26].start |
590.424 |
transcript.whisperx[26].end |
619.066 |
transcript.whisperx[26].text |
我們就會針對這些方式來做修正的方式這個很難說服我們我想我要很理性的告訴你我們要的就很明確的告訴你把行政院的版本提出來我們是可以跟你來做溝通的跟委員說明一下在3月6號的會議我們已經把水平分配的相關的指標跟權重還有調整係數非常具體的提出來了這個就是未來水平分配可以依據的一個方向 |
transcript.whisperx[27].start |
619.777 |
transcript.whisperx[27].end |
641.433 |
transcript.whisperx[27].text |
讓大家來討論這個就已經非常具體了那至於其他的譬如說我們也告訴他我們的修法的方向就是擴大中央統籌分配稅款的規模而且要可以提升地方的財政自主這個部分這個就是垂直分配我們也提出來而且會優先彌補地方財政收支一個差短而且保障既有的一個財源 |
transcript.whisperx[28].start |
642.433 |
transcript.whisperx[28].end |
668.398 |
transcript.whisperx[28].text |
這是非常具體的一個方向的這個幾乎只是說我們把這個方向認定以後接下來只是落入文字這是先把方向確認了以後落入文字其實只是後續的工作所以基本上我們是有方案的有方案但是我還是要回到我剛才一再而三的提醒院長為什麼不請財政部在利用富裕的前夕 |
transcript.whisperx[29].start |
669.398 |
transcript.whisperx[29].end |
696.965 |
transcript.whisperx[29].text |
利用我們在整個修會有這麼長的一個時間充分的跟國會來做溝通跟協調來討論然後再決定說我們要怎麼樣我們不管是我們在野黨國民黨也好民眾黨也好我們充分溝通討論大家再來決定說您提出了復議案我們是不是要做相關的一個做出最後同意或者不同意這樣的一個決定所以我要很遺憾的告訴你到目前看不到版本 |
transcript.whisperx[30].start |
697.665 |
transcript.whisperx[30].end |
707.001 |
transcript.whisperx[30].text |
我真的很難去投下同意您的複議票我這樣要告訴你好 我們來看一下我關心我自己的新竹縣市我也要告訴院長 |
transcript.whisperx[31].start |
708.171 |
transcript.whisperx[31].end |
728.753 |
transcript.whisperx[31].text |
那新竹縣市在這次2025年我看到的一個我們族記書的一個國庫還有我們國庫署的一個統計表新竹縣這次的如果2025可以分配它的統籌分配稅款大概只有69.2億新竹市是83.97億 |
transcript.whisperx[32].start |
732.093 |
transcript.whisperx[32].end |
753.301 |
transcript.whisperx[32].text |
那這個在我們六都以外十六縣市中新竹縣市的排名新竹縣市排名第九新竹市是排名第五如果我們再加上一般性的補助款新竹縣調到第十一名新竹市調到第十二名反而是更往後 |
transcript.whisperx[33].start |
754.221 |
transcript.whisperx[33].end |
776.275 |
transcript.whisperx[33].text |
也就是說新竹縣市長期以來在稅收的上繳金額都是名列前茅但總數以及人均獲得的統籌分配稅款卻一直都是在後段班這對新竹縣市來講根本是非常不平等的待遇那麼在這一次的修法之後統籌分配稅款 |
transcript.whisperx[34].start |
777.196 |
transcript.whisperx[34].end |
801.048 |
transcript.whisperx[34].text |
各可以分配到185億以及210億均大幅增加了110億以上我想這個對於我們未來新竹縣市大新竹縣市的交通建設教育建設橋樑建設以及河川治理等各種必要的公共建設我們都有自主裁員可以運用所以院長 |
transcript.whisperx[35].start |
802.27 |
transcript.whisperx[35].end |
831.394 |
transcript.whisperx[35].text |
在這種情況之下您認為本席會支持您的救治嗎每個委員都有選區以自己的選區為重當然我們都理解院長我只是一個比喻而已我想告訴你就是說對於我們各個縣市而言我想其實我們總表其實我們都已經有很多委員在諮詢的時候也有提出來各個縣市都是大幅增加的 |
transcript.whisperx[36].start |
832.475 |
transcript.whisperx[36].end |
857.074 |
transcript.whisperx[36].text |
所以財化法的修正對於落實地方自治它是有很大的一個注意所以在這種情況之下延宕了25年的財化法不修現在終於刪除通過有了一個版本這個版本今天的經濟日報的社論也寫得非常清楚非常的合理當然站在行政院財政部您有您的立場 |
transcript.whisperx[37].start |
858.226 |
transcript.whisperx[37].end |
878.999 |
transcript.whisperx[37].text |
但是我們看了整個綜合整個這些各家的媒體的一個報導是認為此次的修正是非常的合理的所以對於這種合理的修法版本行政院到目前您還沒有辦法說服我們說您有更好的版本提出來所以您在復議的前夕告訴我說我要同意你的復議 |
transcript.whisperx[38].start |
880.66 |
transcript.whisperx[38].end |
885.865 |
transcript.whisperx[38].text |
院長這對於我們縣市的立法委員真的是投不下這個票啦真的是對我們來講對地方藝術那麼多的財政收入你勸 |
transcript.whisperx[39].start |
898.717 |
transcript.whisperx[39].end |
925.979 |
transcript.whisperx[39].text |
合理的弱化整個國家的整體建設跟國防力量就是這樣但是您為什麼不提出版本呢這個就是我最大的疑惑已經那麼久了到復議前夕你再跟我講你方案準備好了這是什麼邏輯啊這個方案我們在12月2號表決之前就是有了你如何說服國會的立法委員啊我真的是很中肯的告訴行政院很多事情真的要提早做溝通啦而不是等到事情燒到火了你才跟我們講我有版本 |
transcript.whisperx[40].start |
933.587 |
transcript.whisperx[40].end |
938.538 |
transcript.whisperx[40].text |
好,謝謝林委員,謝謝卓院長下一位請賴瑞榮委員詢問 |