IVOD_ID |
158523 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158523 |
日期 |
2024-12-30 |
會議資料.會議代碼 |
委員會-11-2-20-14 |
會議資料.會議代碼:str |
第11屆第2會期財政委員會第14次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
14 |
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2會期財政委員會第14次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-12-30T12:22:33+08:00 |
結束時間 |
2024-12-30T12:34:03+08:00 |
影片長度 |
00:11:30 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/358c3f0dd56dd1e00cbfff864aace02c4f10c035d50fc6485ada2b19569a09cc2f3f07a615f4351a5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
陳玉珍 |
委員發言時間 |
12:22:33 - 12:34:03 |
會議時間 |
2024-12-30T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期財政委員會第14次全體委員會議(事由:邀請行政院龔秘書長明鑫、行政院主計總處陳主計長淑姿、財政部莊部長翠雲就「行政院表示:因財劃法修正,114年度總預算須重編」進行專題報告,並備質詢。
【113年12月30日及114年1月2日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
6.44346875 |
transcript.pyannote[0].end |
8.21534375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
12.94034375 |
transcript.pyannote[1].end |
16.26471875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
16.93971875 |
transcript.pyannote[2].end |
18.28971875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
21.74909375 |
transcript.pyannote[3].end |
21.76596875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
21.76596875 |
transcript.pyannote[4].end |
21.78284375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
21.78284375 |
transcript.pyannote[5].end |
22.23846875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
22.72784375 |
transcript.pyannote[6].end |
54.19971875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
56.64659375 |
transcript.pyannote[7].end |
57.20346875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
57.43971875 |
transcript.pyannote[8].end |
67.21034375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
57.74346875 |
transcript.pyannote[9].end |
57.77721875 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
60.47721875 |
transcript.pyannote[10].end |
60.94971875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
67.96971875 |
transcript.pyannote[11].end |
73.79159375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
73.85909375 |
transcript.pyannote[12].end |
73.90971875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
73.90971875 |
transcript.pyannote[13].end |
77.82471875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
74.11221875 |
transcript.pyannote[14].end |
74.58471875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
76.28909375 |
transcript.pyannote[15].end |
81.65534375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
81.75659375 |
transcript.pyannote[16].end |
81.77346875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
81.77346875 |
transcript.pyannote[17].end |
81.80721875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
81.80721875 |
transcript.pyannote[18].end |
81.82409375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
81.82409375 |
transcript.pyannote[19].end |
81.99284375 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
81.99284375 |
transcript.pyannote[20].end |
85.67159375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
86.05971875 |
transcript.pyannote[21].end |
89.63721875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
90.93659375 |
transcript.pyannote[22].end |
91.93221875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
92.33721875 |
transcript.pyannote[23].end |
136.33034375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
136.83659375 |
transcript.pyannote[24].end |
137.74784375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
138.08534375 |
transcript.pyannote[25].end |
145.29096875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
145.62846875 |
transcript.pyannote[26].end |
152.32784375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
152.66534375 |
transcript.pyannote[27].end |
153.88034375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
154.26846875 |
transcript.pyannote[28].end |
155.93909375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
156.22596875 |
transcript.pyannote[29].end |
158.55471875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
159.46596875 |
transcript.pyannote[30].end |
159.90471875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
160.52909375 |
transcript.pyannote[31].end |
162.90846875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
162.72284375 |
transcript.pyannote[32].end |
163.65096875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
163.85346875 |
transcript.pyannote[33].end |
165.60846875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
165.27096875 |
transcript.pyannote[34].end |
168.12284375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
166.48596875 |
transcript.pyannote[35].end |
166.50284375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
169.43909375 |
transcript.pyannote[36].end |
172.64534375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
173.86034375 |
transcript.pyannote[37].end |
175.86846875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
175.64909375 |
transcript.pyannote[38].end |
180.15471875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
180.69471875 |
transcript.pyannote[39].end |
193.03034375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
191.57909375 |
transcript.pyannote[40].end |
192.86159375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
193.03034375 |
transcript.pyannote[41].end |
201.09659375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
199.54409375 |
transcript.pyannote[42].end |
204.03284375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
201.82221875 |
transcript.pyannote[43].end |
202.24409375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
204.16784375 |
transcript.pyannote[44].end |
204.42096875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
204.42096875 |
transcript.pyannote[45].end |
206.66534375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
207.69471875 |
transcript.pyannote[46].end |
214.79909375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
216.60471875 |
transcript.pyannote[47].end |
217.80284375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
218.62971875 |
transcript.pyannote[48].end |
220.35096875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
220.99221875 |
transcript.pyannote[49].end |
222.08909375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
223.48971875 |
transcript.pyannote[50].end |
229.51409375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
230.25659375 |
transcript.pyannote[51].end |
242.17034375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
242.65971875 |
transcript.pyannote[52].end |
244.44846875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
245.44409375 |
transcript.pyannote[53].end |
247.08096875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
247.78971875 |
transcript.pyannote[54].end |
248.38034375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
249.32534375 |
transcript.pyannote[55].end |
251.11409375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
252.12659375 |
transcript.pyannote[56].end |
258.08346875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
257.12159375 |
transcript.pyannote[57].end |
260.88471875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
258.65721875 |
transcript.pyannote[58].end |
259.02846875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
261.62721875 |
transcript.pyannote[59].end |
263.87159375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
264.95159375 |
transcript.pyannote[60].end |
277.74284375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
280.00409375 |
transcript.pyannote[61].end |
281.92784375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
281.92784375 |
transcript.pyannote[62].end |
284.18909375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
284.45909375 |
transcript.pyannote[63].end |
298.31346875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
298.34721875 |
transcript.pyannote[64].end |
344.02784375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
344.19659375 |
transcript.pyannote[65].end |
351.11534375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
351.60471875 |
transcript.pyannote[66].end |
356.14409375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
356.88659375 |
transcript.pyannote[67].end |
357.78096875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
358.60784375 |
transcript.pyannote[68].end |
359.50221875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
360.86909375 |
transcript.pyannote[69].end |
364.14284375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
361.00409375 |
transcript.pyannote[70].end |
361.96596875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
363.70409375 |
transcript.pyannote[71].end |
366.84284375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
366.18471875 |
transcript.pyannote[72].end |
368.10846875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
367.14659375 |
transcript.pyannote[73].end |
371.33159375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
371.71971875 |
transcript.pyannote[74].end |
424.03221875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
424.55534375 |
transcript.pyannote[75].end |
441.10971875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
441.53159375 |
transcript.pyannote[76].end |
442.89846875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
441.54846875 |
transcript.pyannote[77].end |
458.96346875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
456.43221875 |
transcript.pyannote[78].end |
471.53534375 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
469.12221875 |
transcript.pyannote[79].end |
471.06284375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
471.53534375 |
transcript.pyannote[80].end |
479.34846875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
474.82596875 |
transcript.pyannote[81].end |
476.61471875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
478.57221875 |
transcript.pyannote[82].end |
485.87909375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
479.85471875 |
transcript.pyannote[83].end |
480.68159375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
486.18284375 |
transcript.pyannote[84].end |
522.68346875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
486.30096875 |
transcript.pyannote[85].end |
489.20346875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
501.67409375 |
transcript.pyannote[86].end |
504.01971875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
522.81846875 |
transcript.pyannote[87].end |
523.17284375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
523.37534375 |
transcript.pyannote[88].end |
523.81409375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
524.57346875 |
transcript.pyannote[89].end |
527.89784375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
528.03284375 |
transcript.pyannote[90].end |
536.04846875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
536.41971875 |
transcript.pyannote[91].end |
538.54596875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
538.69784375 |
transcript.pyannote[92].end |
539.87909375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
540.13221875 |
transcript.pyannote[93].end |
540.89159375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
541.51596875 |
transcript.pyannote[94].end |
542.14034375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
542.35971875 |
transcript.pyannote[95].end |
543.70971875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
544.31721875 |
transcript.pyannote[96].end |
546.62909375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
547.11846875 |
transcript.pyannote[97].end |
548.21534375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
548.35034375 |
transcript.pyannote[98].end |
549.41346875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
550.07159375 |
transcript.pyannote[99].end |
553.14284375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
553.44659375 |
transcript.pyannote[100].end |
555.50534375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
555.58971875 |
transcript.pyannote[101].end |
556.31534375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
556.85534375 |
transcript.pyannote[102].end |
558.05346875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
558.15471875 |
transcript.pyannote[103].end |
559.06596875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
560.11221875 |
transcript.pyannote[104].end |
561.90096875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
562.22159375 |
transcript.pyannote[105].end |
566.06909375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
566.37284375 |
transcript.pyannote[106].end |
568.92096875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
569.30909375 |
transcript.pyannote[107].end |
570.89534375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
571.84034375 |
transcript.pyannote[108].end |
584.19284375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
575.19846875 |
transcript.pyannote[109].end |
576.97034375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
577.83096875 |
transcript.pyannote[110].end |
578.21909375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
578.42159375 |
transcript.pyannote[111].end |
581.50971875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
581.81346875 |
transcript.pyannote[112].end |
585.74534375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
584.68221875 |
transcript.pyannote[113].end |
585.57659375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
585.72846875 |
transcript.pyannote[114].end |
602.40096875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
601.60784375 |
transcript.pyannote[115].end |
607.05846875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
607.42971875 |
transcript.pyannote[116].end |
611.44596875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
612.25596875 |
transcript.pyannote[117].end |
622.92096875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
613.11659375 |
transcript.pyannote[118].end |
615.66471875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
623.34284375 |
transcript.pyannote[119].end |
627.32534375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
626.14409375 |
transcript.pyannote[120].end |
628.86096875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
628.84409375 |
transcript.pyannote[121].end |
641.43284375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
641.82096875 |
transcript.pyannote[122].end |
643.42409375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
643.54221875 |
transcript.pyannote[123].end |
646.05659375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
646.88346875 |
transcript.pyannote[124].end |
653.86971875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
655.32096875 |
transcript.pyannote[125].end |
665.14221875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
665.66534375 |
transcript.pyannote[126].end |
676.19534375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
677.35971875 |
transcript.pyannote[127].end |
677.95034375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
678.79409375 |
transcript.pyannote[128].end |
679.77284375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
680.92034375 |
transcript.pyannote[129].end |
681.66284375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
685.15596875 |
transcript.pyannote[130].end |
687.04596875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
689.08784375 |
transcript.pyannote[131].end |
691.04534375 |
transcript.whisperx[0].start |
6.556 |
transcript.whisperx[0].end |
6.716 |
transcript.whisperx[0].text |
陳玉珍 |
transcript.whisperx[1].start |
22.833 |
transcript.whisperx[1].end |
41.477 |
transcript.whisperx[1].text |
我根據黃山委員剛剛的這個發言就是說我們這個說要修財劃法已經說很久了也請各部會請財主單位提出這個修法的這個就是你們的版本然後也跟你們講所以你們到現在事實上一直在說還有80幾項收斂到剩3項指標沒有啊 |
transcript.whisperx[2].start |
46.478 |
transcript.whisperx[2].end |
53.765 |
transcript.whisperx[2].text |
這個行政院,你們是在懷疑,當初我們跟你講說我們這個會期法案一定要通過,你們是在懷疑我們的決心是嗎?懷疑立法院修法的決心嗎?你當然沒在這裡啊,主計長都在這裡嘛。你在這裡說過無數次啊,我說這個會期一定,在我擔任召委的時候,一定會修法通過啦。 |
transcript.whisperx[3].start |
68.121 |
transcript.whisperx[3].end |
89.469 |
transcript.whisperx[3].text |
你們為什麼都沒有做任何的就是還在八十幾項收斂到三項啊?效率怎麼這麼低呢?沒有,因為財政部事實上他正在收斂幾項啊?是啊,但是我們也給了你們這麼久的時間啊六月份到九月份也給在三個月的時間,對不對?到現在我們的修法通過你們幾項都還沒有收斂完成啊?如果等你們那個全部收斂完成地老天荒啊 |
transcript.whisperx[4].start |
91.447 |
transcript.whisperx[4].end |
119.935 |
transcript.whisperx[4].text |
然後再來講齁這個還有在那個中間的這個修法過程中也有講說到底哪些事權剛剛黃山委員講我們市長也提過很多次哪一些要修嘛也在這裡內政部也有來那時候來做決議的時候趕快把相關你們覺得應該修的這個什麼事權啊錢啊怎麼應該分啊哪些地方稅責啊什麼地方租房應該修也應該趕快送上來啊到目前為止沒有嘛不過剛剛黃委員問過了我們就一個禮拜內希望你們趕快提出相關的報告嘛我覺得你們根本就不是 |
transcript.whisperx[5].start |
120.675 |
transcript.whisperx[5].end |
136.016 |
transcript.whisperx[5].text |
不是沒辦法是你們不想做啦這個大家看得很清楚那114年總預算要重編這個本席牌這個題目這個被林俊炫委員說好像搶著餓太久搶著要吃什麼東西啊這個明明這句話就不是 |
transcript.whisperx[6].start |
136.897 |
transcript.whisperx[6].end |
159.759 |
transcript.whisperx[6].text |
本席說的啊這114年度總預算要重編這句話來行政那天是主計長有在旁邊嘛財政部部長有在旁邊嘛這個是行政院說的吧是吧這是誰說的他說財政修法若公安實施一中衝擊明年總預算可能要重編嘛這個是這是誰說的話這句話是誰說的行政院這個我們李富明李富明 |
transcript.whisperx[7].start |
161.176 |
transcript.whisperx[7].end |
179.954 |
transcript.whisperx[7].text |
這看起來應該是發言人講的發言人是誰啦我們李慧芝女士啦李慧芝說的這就是他說的吧阿怎麼現在你們又說發言人說的是不是代表你們行政院勒因為他的原意其實應該不是這樣發言人的原意可以弄到全世界都聽不懂只有他聽得懂 |
transcript.whisperx[8].start |
180.942 |
transcript.whisperx[8].end |
206.548 |
transcript.whisperx[8].text |
那這個發言還適格嗎?所有的媒體都寫說標題是要重編然後現在來問的每個立委也都說認為當初的意思是要重編所以他的本意不是這樣子你是不是說他迫使不清還是表達能力有問題?因為他前面是講到未明定施行日期會對明年總預算本身受到重視他未明定施行日期還沒公佈嘛他連中央法規標準法都不懂喔?他這發言你們都沒有替他準備搞喔? |
transcript.whisperx[9].start |
207.742 |
transcript.whisperx[9].end |
227.844 |
transcript.whisperx[9].text |
他隨便說喔當然是要公佈以後當然沒有明點很多法令都是公佈或實施啊這是基本常識啊做一個發言人不懂嗎這個發言人識格嗎還是他企圖誤導社會大眾那這樣要不要下台啊那你們今天還要坐在這裡重新再一個一個主計長再解釋一次財政部長解釋你還要來這邊解釋一次 |
transcript.whisperx[10].start |
230.745 |
transcript.whisperx[10].end |
250.87 |
transcript.whisperx[10].text |
他說的這個全國的媒體,全國的媒體也是這樣認為一個發言人可以把一個政府的政策弄到全中華民國的媒體都認為他說要重編然後你現在說他的意思不是這樣子那他也不是口齒不清的話,他就是很不適格啊,這樣不用下台嗎?副秘書長那是一半米吃西瓜環境 |
transcript.whisperx[11].start |
252.602 |
transcript.whisperx[11].end |
277.41 |
transcript.whisperx[11].text |
我們的瞭解是他對這個表達憂心因為衝擊真的很大3700是表達憂心嘛表達憂心也不是這樣子發言嘛對不對對嘛非常不適格啦好來我想請問主計長陳主計長剛剛也很多人提過啦我也代讀了一下您的這個國立您也是很優秀啊國立成功大學政治經濟學系的碩士你記得你碩士畢業論文的題目嗎 |
transcript.whisperx[12].start |
280.392 |
transcript.whisperx[12].end |
282.875 |
transcript.whisperx[12].text |
台南市政府預算決策之研究以民國9393年預算案為例 |
transcript.whisperx[13].start |
295.294 |
transcript.whisperx[13].end |
310.621 |
transcript.whisperx[13].text |
那我看了一下 你在行政院記者會上說 你說你雖然說 你剛剛回答我有聽到 你說時空環境改變但是我們現在說的都是那個時候的事情喔 精神已經是發生的事情了你在 那時候寫錄文的時候精神已經發生了 你在討論這個事情 |
transcript.whisperx[14].start |
311.061 |
transcript.whisperx[14].end |
334.611 |
transcript.whisperx[14].text |
好 那現在講也是講今省前這個整個預算的這種分配中央地方分配您那時候的說法是今省後中央須承接省府稅客收入等1505億元為一承接相關支出2892億元收支並從考量後中央陸部付出達1387元所以這個沒有因為今省而獲益嘛 這個您說的 |
transcript.whisperx[15].start |
336.192 |
transcript.whisperx[15].end |
359.367 |
transcript.whisperx[15].text |
然後接著再寫.地方財政普遍困難中.導致臺南市財政惡化之原因出因.景氣低迷、稅收、土增稅減少.及未配合精神而修正的財政收支劃分法.未增完善.致補助款減少.中央統籌分類稅款比例分配不均這每句話都是你寫的吧應該不是抄的吧這是自己寫的吧 |
transcript.whisperx[16].start |
360.868 |
transcript.whisperx[16].end |
377.756 |
transcript.whisperx[16].text |
以前是當初的一個財政狀況當初是這樣子嘛這個是你寫的,下一屆接著你又講了可見現世地方財政瘟疫精神及修改財政收入方法而改善 |
transcript.whisperx[17].start |
378.976 |
transcript.whisperx[17].end |
405.581 |
transcript.whisperx[17].text |
經省前省府每年有1500億的地方資本不斷補助地方:歷年還要結餘:所以經省前地方資本沒有財政的赤字:經省後已經喪失這個條例的機制:地方資本的財政資就不斷的累積:接著又寫說:87年經省:我們都在講以前的時候:87年的時候民國87年時:省府業務下放地方財源沒有跟著下放:所以地方政府補助款沒有增加減少造成地方: |
transcript.whisperx[18].start |
406.121 |
transcript.whisperx[18].end |
423.679 |
transcript.whisperx[18].text |
有責無權,業務增加,財源減少所以一說經省,事實上有的業務是撥到地方但沒有給他錢,都被中央拿走了原來有省負擔的警政支出給縣市負擔造成收支失衡更加嚴重 |
transcript.whisperx[19].start |
424.72 |
transcript.whisperx[19].end |
440.935 |
transcript.whisperx[19].text |
這是每句話都是你說的啊你現在就是你現在剛回答你現在在打臉你過去的碩士畢業論文啊那你剛剛跟我剛剛我聽到你回答別人別的人說你什麼這個時空環境時空變化之術啊就民進黨常說的那個但是精神事情早就發生了啊 |
transcript.whisperx[20].start |
441.576 |
transcript.whisperx[20].end |
442.597 |
transcript.whisperx[20].text |
您現在說是因為這麼多年來因為我們中央一直有地方補助嘛 |
transcript.whisperx[21].start |
463.436 |
transcript.whisperx[21].end |
463.616 |
transcript.whisperx[21].text |
﹚陳玉珍 |
transcript.whisperx[22].start |
486.252 |
transcript.whisperx[22].end |
488.333 |
transcript.whisperx[22].text |
但事實上已有危險的一大件事務:陳玉珍 |
transcript.whisperx[23].start |
504.705 |
transcript.whisperx[23].end |
518.52 |
transcript.whisperx[23].text |
也不至於影響到中央的這個支出啦那你看喔剛剛我也聽到您說啦因為剛剛已經好多委員質詢啦說這個事實上是整個的裡頭的除了法定支出以外啦法定支出以外剩下的整個裡頭的28%嘛對不對這個你有剛剛有在強調嘛對吧 |
transcript.whisperx[24].start |
523.425 |
transcript.whisperx[24].end |
531.689 |
transcript.whisperx[24].text |
有沒有 有嘛齁但是你看看齁你看看我們這個全國各地的這個媒體報導各個部位分的是說什麼你看衝擊文化部預算73.3億齁這個國防部800億右較高較900億這個勞保1200億 |
transcript.whisperx[25].start |
544.783 |
transcript.whisperx[25].end |
570.322 |
transcript.whisperx[25].text |
還有什麼?國客會兩百億退伏費兩百億這個臨近什麼衛福部什麼身心健康啊什麼什麼哇這個加起來真的幾千億啊跟你說的完全不一樣是今天是這些部會的部會所長不懂胡說八道還是你跟他們溝通不良啊你沒有跟他們講是只有影響28%嗎?你有沒有跟各個部會說? |
transcript.whisperx[26].start |
571.837 |
transcript.whisperx[26].end |
582.207 |
transcript.whisperx[26].text |
所以這個部分呢就是說我3兆1扣掉對我知道我剛都已經聽過很多遍所以才1兆3對1兆3裡面的28%因為一般性賭注的話那個30條修不能第一往前嘛所以那不影響以國防經費它將近3000億嘛 |
transcript.whisperx[27].start |
588.413 |
transcript.whisperx[27].end |
611.276 |
transcript.whisperx[27].text |
那百分之三就是將近九百億要刪減那這個部分就是刪減下來要刪九百億因為他不含人員維持會國防經費就將近二九四五嘛你知道這些人你知道嗎這些你有沒有看過這些新聞報告你有沒有請你的部署去整理一下這些全部他烏浪浪加起來七八千億喔可能不止喔 |
transcript.whisperx[28].start |
612.304 |
transcript.whisperx[28].end |
616.187 |
transcript.whisperx[28].text |
有的是指項目的影響有的是指項目的影響有的是指項目的影響有的是指項目的影響有的是指項目的影響 |
transcript.whisperx[29].start |
642.324 |
transcript.whisperx[29].end |
653.237 |
transcript.whisperx[29].text |
詐騙集團夠多了不要再繼續詐騙人民恐嚇百姓好不好對不對都胡說八道嘛你看你今天說的我們就聽得很清楚了28%嘛不是全部都什麼幾百億幾千億 |
transcript.whisperx[30].start |
655.533 |
transcript.whisperx[30].end |
676.026 |
transcript.whisperx[30].text |
還是他們還是還是我建議啦如果有這樣散發這種假訊息的這些部會他們心裡的期待就是希望被減800、900你們就按照這一張他們寫的幫他們刪預算嘛這個也是一個方法或者我們來代勞今年預算的時候今年11305我們來幫你負責砍3753億好不好你們不用那麼辛苦我們一定會幫你努力做到好不好主席長好不好好好謝謝好的謝謝 |
transcript.whisperx[31].start |
685.205 |
transcript.whisperx[31].end |
686.712 |
transcript.whisperx[31].text |
下一位是劉許廷委員不對還沒有唸完劉志強委員 |