IVOD_ID |
159032 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159032 |
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 |
2025-03-12T15:03:41+08:00 |
結束時間 |
2025-03-12T15:19:02+08:00 |
影片長度 |
00:15:21 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/068df7098ba6a5ff19e83822208a893842177c27e96a00456e1b84427e832226cb66546e995582555ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
陳亭妃 |
委員發言時間 |
15:03:41 - 15:19:02 |
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_01 |
transcript.pyannote[0].start |
4.45221875 |
transcript.pyannote[0].end |
5.02596875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
5.58284375 |
transcript.pyannote[1].end |
9.41346875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
9.85221875 |
transcript.pyannote[2].end |
14.13846875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
14.54346875 |
transcript.pyannote[3].end |
47.24721875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
47.56784375 |
transcript.pyannote[4].end |
53.05221875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
53.55846875 |
transcript.pyannote[5].end |
56.96721875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
57.42284375 |
transcript.pyannote[6].end |
71.42909375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
71.86784375 |
transcript.pyannote[7].end |
76.05284375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
76.82909375 |
transcript.pyannote[8].end |
77.50409375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
77.95971875 |
transcript.pyannote[9].end |
81.85784375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
82.38096875 |
transcript.pyannote[10].end |
84.81096875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
85.24971875 |
transcript.pyannote[11].end |
86.78534375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
87.57846875 |
transcript.pyannote[12].end |
88.20284375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
88.57409375 |
transcript.pyannote[13].end |
89.63721875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
89.87346875 |
transcript.pyannote[14].end |
92.77596875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
93.21471875 |
transcript.pyannote[15].end |
93.90659375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
94.86846875 |
transcript.pyannote[16].end |
95.39159375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
96.40409375 |
transcript.pyannote[17].end |
98.47971875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
99.54284375 |
transcript.pyannote[18].end |
100.25159375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
100.70721875 |
transcript.pyannote[19].end |
101.71971875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
102.29346875 |
transcript.pyannote[20].end |
102.98534375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
103.49159375 |
transcript.pyannote[21].end |
106.15784375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
106.68096875 |
transcript.pyannote[22].end |
109.88721875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
110.84909375 |
transcript.pyannote[23].end |
114.00471875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
115.13534375 |
transcript.pyannote[24].end |
116.94096875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
117.71721875 |
transcript.pyannote[25].end |
118.35846875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
118.79721875 |
transcript.pyannote[26].end |
121.26096875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
122.27346875 |
transcript.pyannote[27].end |
123.58971875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
123.77534375 |
transcript.pyannote[28].end |
124.97346875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
126.22221875 |
transcript.pyannote[29].end |
126.94784375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
127.20096875 |
transcript.pyannote[30].end |
128.44971875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
129.73221875 |
transcript.pyannote[31].end |
132.12846875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
132.66846875 |
transcript.pyannote[32].end |
133.59659375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
133.84971875 |
transcript.pyannote[33].end |
144.49784375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
145.40909375 |
transcript.pyannote[34].end |
149.32409375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
150.16784375 |
transcript.pyannote[35].end |
151.51784375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
152.56409375 |
transcript.pyannote[36].end |
159.22971875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
159.88784375 |
transcript.pyannote[37].end |
162.09846875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
162.52034375 |
transcript.pyannote[38].end |
169.64159375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
170.24909375 |
transcript.pyannote[39].end |
180.72846875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
181.82534375 |
transcript.pyannote[40].end |
182.53409375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
182.92221875 |
transcript.pyannote[41].end |
189.65534375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
189.90846875 |
transcript.pyannote[42].end |
191.56221875 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
191.93346875 |
transcript.pyannote[43].end |
204.10034375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
205.04534375 |
transcript.pyannote[44].end |
208.99409375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
209.48346875 |
transcript.pyannote[45].end |
217.88721875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
218.37659375 |
transcript.pyannote[46].end |
230.61096875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
219.18659375 |
transcript.pyannote[47].end |
220.99221875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
230.86409375 |
transcript.pyannote[48].end |
238.37346875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
239.14971875 |
transcript.pyannote[49].end |
239.99346875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
240.56721875 |
transcript.pyannote[50].end |
241.17471875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
241.71471875 |
transcript.pyannote[51].end |
245.19096875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
245.59596875 |
transcript.pyannote[52].end |
246.69284375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
247.40159375 |
transcript.pyannote[53].end |
250.64159375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
252.00846875 |
transcript.pyannote[54].end |
254.26971875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
254.55659375 |
transcript.pyannote[55].end |
255.23159375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
255.77159375 |
transcript.pyannote[56].end |
259.28159375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
259.93971875 |
transcript.pyannote[57].end |
261.84659375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
262.43721875 |
transcript.pyannote[58].end |
264.32721875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
262.77471875 |
transcript.pyannote[59].end |
263.83784375 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
264.74909375 |
transcript.pyannote[60].end |
265.50846875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
265.91346875 |
transcript.pyannote[61].end |
268.46159375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
269.13659375 |
transcript.pyannote[62].end |
269.81159375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
269.96346875 |
transcript.pyannote[63].end |
272.39346875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
273.16971875 |
transcript.pyannote[64].end |
275.51534375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
275.86971875 |
transcript.pyannote[65].end |
276.71346875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
276.84846875 |
transcript.pyannote[66].end |
278.77221875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
279.70034375 |
transcript.pyannote[67].end |
280.81409375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
280.96596875 |
transcript.pyannote[68].end |
282.06284375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
282.60284375 |
transcript.pyannote[69].end |
283.34534375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
283.90221875 |
transcript.pyannote[70].end |
286.41659375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
287.02409375 |
transcript.pyannote[71].end |
287.74971875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
288.59346875 |
transcript.pyannote[72].end |
291.25971875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
292.71096875 |
transcript.pyannote[73].end |
293.90909375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
294.43221875 |
transcript.pyannote[74].end |
295.47846875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
295.83284375 |
transcript.pyannote[75].end |
296.99721875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
297.94221875 |
transcript.pyannote[76].end |
298.85346875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
300.05159375 |
transcript.pyannote[77].end |
301.75596875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
302.22846875 |
transcript.pyannote[78].end |
304.32096875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
304.52346875 |
transcript.pyannote[79].end |
306.66659375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
306.86909375 |
transcript.pyannote[80].end |
309.21471875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
309.83909375 |
transcript.pyannote[81].end |
310.48034375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
311.61096875 |
transcript.pyannote[82].end |
312.65721875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
313.18034375 |
transcript.pyannote[83].end |
313.87221875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
314.44596875 |
transcript.pyannote[84].end |
316.01534375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
316.55534375 |
transcript.pyannote[85].end |
324.50346875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
325.73534375 |
transcript.pyannote[86].end |
326.84909375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
327.28784375 |
transcript.pyannote[87].end |
328.30034375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
329.14409375 |
transcript.pyannote[88].end |
330.40971875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
330.98346875 |
transcript.pyannote[89].end |
332.99159375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
333.61596875 |
transcript.pyannote[90].end |
338.25659375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
338.88096875 |
transcript.pyannote[91].end |
339.42096875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
339.84284375 |
transcript.pyannote[92].end |
341.29409375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
341.47971875 |
transcript.pyannote[93].end |
342.44159375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
343.15034375 |
transcript.pyannote[94].end |
344.73659375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
345.25971875 |
transcript.pyannote[95].end |
347.30159375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
347.30159375 |
transcript.pyannote[96].end |
347.40284375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
347.40284375 |
transcript.pyannote[97].end |
347.41971875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
347.95971875 |
transcript.pyannote[98].end |
353.07284375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
353.81534375 |
transcript.pyannote[99].end |
354.55784375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
355.01346875 |
transcript.pyannote[100].end |
356.32971875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
356.88659375 |
transcript.pyannote[101].end |
358.47284375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
358.99596875 |
transcript.pyannote[102].end |
363.38346875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
364.39596875 |
transcript.pyannote[103].end |
366.53909375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
367.46721875 |
transcript.pyannote[104].end |
368.91846875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
370.03221875 |
transcript.pyannote[105].end |
370.89284375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
372.10784375 |
transcript.pyannote[106].end |
374.90909375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
375.56721875 |
transcript.pyannote[107].end |
377.89596875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
378.26721875 |
transcript.pyannote[108].end |
380.91659375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
381.37221875 |
transcript.pyannote[109].end |
382.97534375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
383.70096875 |
transcript.pyannote[110].end |
387.90284375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
388.37534375 |
transcript.pyannote[111].end |
390.02909375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
390.29909375 |
transcript.pyannote[112].end |
390.90659375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
391.34534375 |
transcript.pyannote[113].end |
392.03721875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
392.42534375 |
transcript.pyannote[114].end |
393.10034375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
393.82596875 |
transcript.pyannote[115].end |
394.88909375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
395.59784375 |
transcript.pyannote[116].end |
398.28096875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
399.36096875 |
transcript.pyannote[117].end |
399.88409375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
400.87971875 |
transcript.pyannote[118].end |
402.61784375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
402.92159375 |
transcript.pyannote[119].end |
405.35159375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
405.84096875 |
transcript.pyannote[120].end |
409.50284375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
409.70534375 |
transcript.pyannote[121].end |
412.48971875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
412.64159375 |
transcript.pyannote[122].end |
415.07159375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
415.49346875 |
transcript.pyannote[123].end |
426.74909375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
427.17096875 |
transcript.pyannote[124].end |
429.80346875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
429.88784375 |
transcript.pyannote[125].end |
432.53721875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
432.89159375 |
transcript.pyannote[126].end |
435.27096875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
435.59159375 |
transcript.pyannote[127].end |
436.95846875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
437.66721875 |
transcript.pyannote[128].end |
440.78909375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
441.07596875 |
transcript.pyannote[129].end |
443.84346875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
444.09659375 |
transcript.pyannote[130].end |
445.00784375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
445.26096875 |
transcript.pyannote[131].end |
445.61534375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
446.30721875 |
transcript.pyannote[132].end |
454.49159375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
446.83034375 |
transcript.pyannote[133].end |
446.96534375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
454.96409375 |
transcript.pyannote[134].end |
461.71409375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
459.62159375 |
transcript.pyannote[135].end |
459.97596875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
461.52846875 |
transcript.pyannote[136].end |
462.33846875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
463.28346875 |
transcript.pyannote[137].end |
465.78096875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
466.33784375 |
transcript.pyannote[138].end |
468.71721875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
469.18971875 |
transcript.pyannote[139].end |
477.00284375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
477.44159375 |
transcript.pyannote[140].end |
479.39909375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
480.00659375 |
transcript.pyannote[141].end |
484.63034375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
485.25471875 |
transcript.pyannote[142].end |
487.97159375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
488.71409375 |
transcript.pyannote[143].end |
491.78534375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
492.46034375 |
transcript.pyannote[144].end |
493.77659375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
494.09721875 |
transcript.pyannote[145].end |
495.97034375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
496.27409375 |
transcript.pyannote[146].end |
501.35346875 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
501.91034375 |
transcript.pyannote[147].end |
503.17596875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
503.68221875 |
transcript.pyannote[148].end |
506.04471875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
506.41596875 |
transcript.pyannote[149].end |
507.19221875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
507.37784375 |
transcript.pyannote[150].end |
509.28471875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
509.72346875 |
transcript.pyannote[151].end |
516.32159375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
516.70971875 |
transcript.pyannote[152].end |
518.59971875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
519.37596875 |
transcript.pyannote[153].end |
523.29096875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
523.37534375 |
transcript.pyannote[154].end |
528.74159375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
529.31534375 |
transcript.pyannote[155].end |
531.01971875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
531.67784375 |
transcript.pyannote[156].end |
534.41159375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
534.83346875 |
transcript.pyannote[157].end |
536.60534375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
537.28034375 |
transcript.pyannote[158].end |
539.11971875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
539.45721875 |
transcript.pyannote[159].end |
543.69284375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
543.96284375 |
transcript.pyannote[160].end |
545.71784375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
546.61221875 |
transcript.pyannote[161].end |
549.90284375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
550.22346875 |
transcript.pyannote[162].end |
551.38784375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
552.16409375 |
transcript.pyannote[163].end |
553.64909375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
553.71659375 |
transcript.pyannote[164].end |
554.84721875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
556.04534375 |
transcript.pyannote[165].end |
557.20971875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
557.36159375 |
transcript.pyannote[166].end |
560.01096875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
560.53409375 |
transcript.pyannote[167].end |
561.66471875 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
561.90096875 |
transcript.pyannote[168].end |
567.68909375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
568.88721875 |
transcript.pyannote[169].end |
570.65909375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
571.36784375 |
transcript.pyannote[170].end |
575.06346875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
575.14784375 |
transcript.pyannote[171].end |
576.93659375 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
577.20659375 |
transcript.pyannote[172].end |
579.61971875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
579.97409375 |
transcript.pyannote[173].end |
581.79659375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
581.79659375 |
transcript.pyannote[174].end |
582.04971875 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
582.04971875 |
transcript.pyannote[175].end |
584.20971875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
584.20971875 |
transcript.pyannote[176].end |
584.47971875 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
584.51346875 |
transcript.pyannote[177].end |
585.66096875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
586.35284375 |
transcript.pyannote[178].end |
587.53409375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
588.88409375 |
transcript.pyannote[179].end |
591.24659375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
591.58409375 |
transcript.pyannote[180].end |
593.50784375 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
594.60471875 |
transcript.pyannote[181].end |
607.93596875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
608.34096875 |
transcript.pyannote[182].end |
609.97784375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
610.70346875 |
transcript.pyannote[183].end |
618.28034375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
619.24221875 |
transcript.pyannote[184].end |
622.75221875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
622.95471875 |
transcript.pyannote[185].end |
624.15284375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
625.21596875 |
transcript.pyannote[186].end |
626.02596875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
626.48159375 |
transcript.pyannote[187].end |
627.56159375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
629.40096875 |
transcript.pyannote[188].end |
639.61034375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
640.72409375 |
transcript.pyannote[189].end |
646.25909375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
647.59221875 |
transcript.pyannote[190].end |
648.90846875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
649.75221875 |
transcript.pyannote[191].end |
651.60846875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
652.11471875 |
transcript.pyannote[192].end |
656.50221875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
657.00846875 |
transcript.pyannote[193].end |
658.89846875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
659.43846875 |
transcript.pyannote[194].end |
660.95721875 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
662.42534375 |
transcript.pyannote[195].end |
663.69096875 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
663.97784375 |
transcript.pyannote[196].end |
664.63596875 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
665.17596875 |
transcript.pyannote[197].end |
665.78346875 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
666.32346875 |
transcript.pyannote[198].end |
667.53846875 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
668.16284375 |
transcript.pyannote[199].end |
671.92596875 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
672.58409375 |
transcript.pyannote[200].end |
673.73159375 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
674.22096875 |
transcript.pyannote[201].end |
675.80721875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
676.83659375 |
transcript.pyannote[202].end |
680.92034375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
681.79784375 |
transcript.pyannote[203].end |
683.23221875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
683.89034375 |
transcript.pyannote[204].end |
686.20221875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
687.13034375 |
transcript.pyannote[205].end |
688.78409375 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
689.47596875 |
transcript.pyannote[206].end |
691.48409375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
691.97346875 |
transcript.pyannote[207].end |
701.42346875 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
702.25034375 |
transcript.pyannote[208].end |
704.08971875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
704.79846875 |
transcript.pyannote[209].end |
707.17784375 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
707.58284375 |
transcript.pyannote[210].end |
709.30409375 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
709.91159375 |
transcript.pyannote[211].end |
710.95784375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
711.73409375 |
transcript.pyannote[212].end |
714.51846875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
715.05846875 |
transcript.pyannote[213].end |
718.21409375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
718.90596875 |
transcript.pyannote[214].end |
720.37409375 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
720.94784375 |
transcript.pyannote[215].end |
723.27659375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
723.90096875 |
transcript.pyannote[216].end |
725.11596875 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
725.55471875 |
transcript.pyannote[217].end |
727.73159375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
728.15346875 |
transcript.pyannote[218].end |
731.05596875 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
731.25846875 |
transcript.pyannote[219].end |
733.87409375 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
734.29596875 |
transcript.pyannote[220].end |
735.59534375 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
736.03409375 |
transcript.pyannote[221].end |
740.50596875 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
741.28221875 |
transcript.pyannote[222].end |
742.58159375 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
742.63221875 |
transcript.pyannote[223].end |
744.03284375 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
744.75846875 |
transcript.pyannote[224].end |
746.95221875 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
747.54284375 |
transcript.pyannote[225].end |
749.51721875 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
750.20909375 |
transcript.pyannote[226].end |
752.47034375 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
753.28034375 |
transcript.pyannote[227].end |
755.00159375 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
755.60909375 |
transcript.pyannote[228].end |
756.89159375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
757.80284375 |
transcript.pyannote[229].end |
758.74784375 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
759.18659375 |
transcript.pyannote[230].end |
761.19471875 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
761.49846875 |
transcript.pyannote[231].end |
763.16909375 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
764.26596875 |
transcript.pyannote[232].end |
765.29534375 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
765.59909375 |
transcript.pyannote[233].end |
767.40471875 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
768.41721875 |
transcript.pyannote[234].end |
769.76721875 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
770.52659375 |
transcript.pyannote[235].end |
775.87596875 |
transcript.pyannote[236].speaker |
SPEAKER_00 |
transcript.pyannote[236].start |
776.31471875 |
transcript.pyannote[236].end |
777.19221875 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
777.96846875 |
transcript.pyannote[237].end |
782.64284375 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
783.14909375 |
transcript.pyannote[238].end |
784.80284375 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
785.37659375 |
transcript.pyannote[239].end |
787.23284375 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
787.89096875 |
transcript.pyannote[240].end |
791.31659375 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
792.39659375 |
transcript.pyannote[241].end |
795.78846875 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
796.36221875 |
transcript.pyannote[242].end |
798.25221875 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
798.67409375 |
transcript.pyannote[243].end |
801.89721875 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
803.92221875 |
transcript.pyannote[244].end |
806.04846875 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
806.18346875 |
transcript.pyannote[245].end |
808.46159375 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
808.98471875 |
transcript.pyannote[246].end |
810.57096875 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
811.24596875 |
transcript.pyannote[247].end |
816.17346875 |
transcript.pyannote[248].speaker |
SPEAKER_00 |
transcript.pyannote[248].start |
817.20284375 |
transcript.pyannote[248].end |
819.17721875 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
820.62846875 |
transcript.pyannote[249].end |
821.55659375 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
822.61971875 |
transcript.pyannote[250].end |
825.69096875 |
transcript.pyannote[251].speaker |
SPEAKER_00 |
transcript.pyannote[251].start |
826.04534375 |
transcript.pyannote[251].end |
829.90971875 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
830.46659375 |
transcript.pyannote[252].end |
831.17534375 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
832.01909375 |
transcript.pyannote[253].end |
839.74784375 |
transcript.pyannote[254].speaker |
SPEAKER_01 |
transcript.pyannote[254].start |
839.93346875 |
transcript.pyannote[254].end |
848.74221875 |
transcript.pyannote[255].speaker |
SPEAKER_00 |
transcript.pyannote[255].start |
843.13971875 |
transcript.pyannote[255].end |
843.76409375 |
transcript.pyannote[256].speaker |
SPEAKER_00 |
transcript.pyannote[256].start |
845.90721875 |
transcript.pyannote[256].end |
846.85221875 |
transcript.pyannote[257].speaker |
SPEAKER_00 |
transcript.pyannote[257].start |
849.09659375 |
transcript.pyannote[257].end |
850.85159375 |
transcript.pyannote[258].speaker |
SPEAKER_00 |
transcript.pyannote[258].start |
851.57721875 |
transcript.pyannote[258].end |
863.27159375 |
transcript.pyannote[259].speaker |
SPEAKER_01 |
transcript.pyannote[259].start |
853.12971875 |
transcript.pyannote[259].end |
853.18034375 |
transcript.pyannote[260].speaker |
SPEAKER_00 |
transcript.pyannote[260].start |
863.28846875 |
transcript.pyannote[260].end |
864.45284375 |
transcript.pyannote[261].speaker |
SPEAKER_00 |
transcript.pyannote[261].start |
864.84096875 |
transcript.pyannote[261].end |
866.08971875 |
transcript.pyannote[262].speaker |
SPEAKER_00 |
transcript.pyannote[262].start |
866.35971875 |
transcript.pyannote[262].end |
867.22034375 |
transcript.pyannote[263].speaker |
SPEAKER_00 |
transcript.pyannote[263].start |
868.03034375 |
transcript.pyannote[263].end |
875.86034375 |
transcript.pyannote[264].speaker |
SPEAKER_00 |
transcript.pyannote[264].start |
876.33284375 |
transcript.pyannote[264].end |
877.85159375 |
transcript.pyannote[265].speaker |
SPEAKER_00 |
transcript.pyannote[265].start |
878.56034375 |
transcript.pyannote[265].end |
879.10034375 |
transcript.pyannote[266].speaker |
SPEAKER_00 |
transcript.pyannote[266].start |
879.67409375 |
transcript.pyannote[266].end |
906.13409375 |
transcript.pyannote[267].speaker |
SPEAKER_00 |
transcript.pyannote[267].start |
906.52221875 |
transcript.pyannote[267].end |
908.07471875 |
transcript.pyannote[268].speaker |
SPEAKER_00 |
transcript.pyannote[268].start |
914.62221875 |
transcript.pyannote[268].end |
920.56221875 |
transcript.whisperx[0].start |
4.605 |
transcript.whisperx[0].end |
24.986 |
transcript.whisperx[0].text |
陳委員好左院長我們來揭露一下數字密碼這個數字密碼其實對台南受傷非常的重也就是說在12月20號才化法修法之前如果依照我們台南市的總分配預算我們可以拿到850億 |
transcript.whisperx[1].start |
27.828 |
transcript.whisperx[1].end |
54.375 |
transcript.whisperx[1].text |
這當中包括統籌分配款一般型補助款特別統籌分配款還有計劃型補助款所以原本還沒修法之前我們跟行政院有很多的計劃在進行當中我們預計可以拿到850億可是在三讀12月20日修法之後我們只能拿到691億 |
transcript.whisperx[2].start |
57.492 |
transcript.whisperx[2].end |
84.509 |
transcript.whisperx[2].text |
也就是說依照統籌分配款就是修法之後拿了485億但是一般型補助款雖然還是維持193億可是我們看到計劃型補助款就是零所以如果依照這整個預算加起來我們就是整整減少了159億 |
transcript.whisperx[3].start |
87.685 |
transcript.whisperx[3].end |
116.165 |
transcript.whisperx[3].text |
所以這是我們很害怕很擔憂的地方而且院長這對我們才能是極不公平我們是直轄市可是我們所增列的額度卻是六都的敬培莫作然後如果以全國的征服來說 |
transcript.whisperx[4].start |
117.796 |
transcript.whisperx[4].end |
143.748 |
transcript.whisperx[4].text |
居然我們是倒數第二倒數第一是誰 高雄市所以是對我們的南部過去縱北傾南是不是我們還要重演過去我們好不容易看到我們南部在小英總統然後現在再加上賴清德總統 |
transcript.whisperx[5].start |
145.458 |
transcript.whisperx[5].end |
159.027 |
transcript.whisperx[5].text |
我相信我們可以看到南部的光景可是現在要懲罰市現在國民黨民眾黨要懲罰市的對付南部地方 |
transcript.whisperx[6].start |
160.106 |
transcript.whisperx[6].end |
180.22 |
transcript.whisperx[6].text |
這怎麼是我們能夠接受的呢過去那麼長的時間的重北親南好不容易小英總統在我們當時候延續了阿扁總統小英總統之後我們才感受到南部地方有受到重視 |
transcript.whisperx[7].start |
181.892 |
transcript.whisperx[7].end |
203.522 |
transcript.whisperx[7].text |
可是難道在去年12月20號我們修法之後 財化法修法之後我們要走到天堂嗎我們南部的建設要走到天堂嗎院長我們很擔心而且這對我們台南人太不公平了院長怎麼辦 |
transcript.whisperx[8].start |
205.063 |
transcript.whisperx[8].end |
222.711 |
transcript.whisperx[8].text |
所以賴總統一直指示我們要全力的推動均衡台灣把台灣要當作一樣的水平來做各種的建設所以南部四縣市我們現在劃定為大南方的新的核心的新矽谷有大南方計畫嗎大南方新矽谷全力要追推動 |
transcript.whisperx[9].start |
223.411 |
transcript.whisperx[9].end |
250.304 |
transcript.whisperx[9].text |
但是如果看到現在現行的已經修正過的財化法它確實在某些地方來看下去它有一些這樣的偏頗這個偏頗就是因為它計算的權重用人口營業額來權重就會產生這樣的一個失衡的狀況院長你知道我們當時候一直希望財政部可以修法就是說我們很多在我們台南 |
transcript.whisperx[10].start |
254.665 |
transcript.whisperx[10].end |
261.618 |
transcript.whisperx[10].text |
可是他的總公司營運單位在北部但是他稅要交到哪裡去 |
transcript.whisperx[11].start |
265.097 |
transcript.whisperx[11].end |
291.116 |
transcript.whisperx[11].text |
結果每次營業額最多就是在台南你像所有百貨公司不是如此嗎對我們台南怎麼會公平還有很多上市公司上市公司他基本上很多他的工廠是在台南可是他的營運中心在台北 |
transcript.whisperx[12].start |
293.102 |
transcript.whisperx[12].end |
309.253 |
transcript.whisperx[12].text |
這樣對我們比較公平用靈靠用硬咬咬這個保分對我們極不公平耶就會造成城鄉差距越大各地的差距越大強者越強弱的地方沒有辦法趕上這個速度院長 |
transcript.whisperx[13].start |
311.667 |
transcript.whisperx[13].end |
324.318 |
transcript.whisperx[13].text |
我要拜託你而且我們所看到的是已經有在這個才化法修法之後就已經出現了所謂成鄉的差距 |
transcript.whisperx[14].start |
325.779 |
transcript.whisperx[14].end |
352.935 |
transcript.whisperx[14].text |
非常嚴重我們過去很多人都說陳霆飛你當時候擔任民進黨幹部的時候你也支持過要修裁劃法院長我從來沒有反對修裁劃法我反對的是一個不公平的裁劃法沒有對於每一個縣市平等對待的裁劃法 |
transcript.whisperx[15].start |
353.891 |
transcript.whisperx[15].end |
366.315 |
transcript.whisperx[15].text |
今天如果這個台灣法會讓我台南市減少這麼多的幫助這麼多的支持你想我能夠支持嗎我能夠支持嗎而且院長 |
transcript.whisperx[16].start |
372.585 |
transcript.whisperx[16].end |
397.852 |
transcript.whisperx[16].text |
當時我們支持要修才化法是因為在小英總統還沒上任之前我們聽到很多的縣市都跟我們說他們的薪水要發不出來這個縣市的薪水發不出來那個縣市的薪水發不出來我們就跟小英總統說總統你要改變你要調整在我們的分配當中要做一個調整院長 |
transcript.whisperx[17].start |
400.919 |
transcript.whisperx[17].end |
429.622 |
transcript.whisperx[17].text |
在小英總統的時候就已經有做了調整對不對因為當時候的才化法我們也說要來修可是才化法畢竟他知識體大你要這麼短的時間能夠讓每一個縣市都能夠在一個基準點很困難所以小英總統趕快解決發不出薪水的問題所以現在哪一個縣市說發不出薪水 |
transcript.whisperx[18].start |
430.522 |
transcript.whisperx[18].end |
441.57 |
transcript.whisperx[18].text |
兩點跟委員報告所以在2012年地方財政的短數是589億到2023年剩餘的數目高達648億這是第一個第二個我們在2016年對地方財政的挹注2016年是5549億2016年就是小英總統就任之後2016年那一年是5549億我們今年 |
transcript.whisperx[19].start |
455.471 |
transcript.whisperx[19].end |
462.097 |
transcript.whisperx[19].text |
2025年我們對地方財政的挹注已經達到1兆零150億所以對地方是一直一直在加強的所以嘛 |
transcript.whisperx[20].start |
463.342 |
transcript.whisperx[20].end |
487.682 |
transcript.whisperx[20].text |
我們就因為有聽到地方的聲音我們才去做了很多的調整所以在我們當時候聽到很多的縣市說我錢發不出來薪水發不出來還要跟中央借錢當時候是很可憐因為院長你也知道我算是資深我在地方當議員是十年 |
transcript.whisperx[21].start |
488.763 |
transcript.whisperx[21].end |
506.852 |
transcript.whisperx[21].text |
在中央立委已經17年了所以我們都很清楚在整個過程當中哪一個問題哪一個時間點有不一樣的需求我們都聽到了民進黨執政是負責任的所以 |
transcript.whisperx[22].start |
507.872 |
transcript.whisperx[22].end |
530.272 |
transcript.whisperx[22].text |
當時我們跟小安總統說 總統 發不出薪水的問題一定要改觀所以就像院長剛剛所報告的我們在整個調整之後 整個地方的財源大大的改變你讓它改變之後 而且我們還做了所謂的一般型的計劃補助 |
transcript.whisperx[23].start |
531.893 |
transcript.whisperx[23].end |
554.359 |
transcript.whisperx[23].text |
這些補助也就是你只要送計畫我們都可以來協助建設根本不用擔心過去都沒有了甚至在我們小英總統她推了前瞻這個前瞻也是給各縣市我們必須說現在各縣市誰比較多執政是國民黨 |
transcript.whisperx[24].start |
556.129 |
transcript.whisperx[24].end |
579.435 |
transcript.whisperx[24].text |
是國民黨咧我覺得就是我們民進黨太客氣了我們過去給國民黨執政的縣市很多的預算可是我們從來沒有講我們都沒有敲鑼打鼓我們都認為這地方需要的我們就要給他我們從來沒有敲鑼打鼓讓全國人民生活的水平都提高了 |
transcript.whisperx[25].start |
580.031 |
transcript.whisperx[25].end |
592.884 |
transcript.whisperx[25].text |
我們的責任是這裡嘛而不是跟你搶工嘛但是我們錯了我們真的錯了就像搬搬有冷氣全部都是中央的經費 |
transcript.whisperx[26].start |
594.673 |
transcript.whisperx[26].end |
623.66 |
transcript.whisperx[26].text |
我們所有各縣市我們每一個學校的冷氣從改善它的電力因為大家知道很多的學校都是老舊的管線它要裝冷氣是不可能所以我們是從老舊管線開始改善然後再多了所謂的冷氣設備這些是一步一步我們在短短兩年就把它解決了 |
transcript.whisperx[27].start |
625.285 |
transcript.whisperx[27].end |
646.315 |
transcript.whisperx[27].text |
可是院長你知道嗎在藍營的縣市敲鑼打鼓從來沒有再跟他們說謝謝民進黨政府給我們這一筆預算 沒有在選舉的時候都說你看我幫你們做了斑斑有冷氣你現在可以做民調 |
transcript.whisperx[28].start |
650.153 |
transcript.whisperx[28].end |
675.56 |
transcript.whisperx[28].text |
現在有多少人知道斑斑有冷氣全部都是中央支應的預算委員今天講了以後會有更多人知道這很重要啊可是你看我們每次做的永遠都只是在做而讓地方不知道原來這一筆錢都是中央所以你把它統整一下 |
transcript.whisperx[29].start |
676.912 |
transcript.whisperx[29].end |
703.768 |
transcript.whisperx[29].text |
在地方上 每一個縣市我們做了多少他現在都說我們沒做啊都說我們沒做 錢不可以拿去賭我們就把它列舉出來每一個縣市 每一個縣市我們就跟他講從過去小英政府替我們縣市所做的哪些是中央所支應的預算一筆一筆把它列出來 |
transcript.whisperx[30].start |
705.298 |
transcript.whisperx[30].end |
723.03 |
transcript.whisperx[30].text |
一筆一筆做成圖卡讓各縣市知道這樣才公平啊否則我覺得說對我們中央所有的公務人員非常不公耶大家是做到要死結果公務都沒在他們的心 |
transcript.whisperx[31].start |
724.251 |
transcript.whisperx[31].end |
752.258 |
transcript.whisperx[31].text |
現在一句話 當在政黨對立的時候一句話就跟你說你中央都沒在做啦你民進黨政府不可以活著啦什麼叫不可以活著啊如果不可以活著怎麼可能各縣市的建設會這麼多從交通 從治水這些如果沒有中央支持的話這兩個都是要大筆預算的光靠地方是不可能的 |
transcript.whisperx[32].start |
753.342 |
transcript.whisperx[32].end |
767.181 |
transcript.whisperx[32].text |
我從地方議員上來的我非常清楚我們過去光要爭取一個抽水戰難上加難啊可是中央有88治水之後 |
transcript.whisperx[33].start |
768.482 |
transcript.whisperx[33].end |
791.101 |
transcript.whisperx[33].text |
那時候在阿扁總統然後到了小英總統的時候有前瞻我們的水環境水資源我們把整個治水預算做了無限延伸你知道我們做了多少大家可能都還不知道說原來直轄市還有那個沒有自來水的 |
transcript.whisperx[34].start |
792.455 |
transcript.whisperx[34].end |
818.822 |
transcript.whisperx[34].text |
在那個很偏僻的地方還沒有自來水耶但是我們在前瞻的部分我們讓他解決了讓他不用喝茶喝水所以我覺得我們做很多但是地方知道的很少因為我們沒有宣傳現在不要忘了是國民黨執政縣市比較多的所以一開始是天安公圍 |
transcript.whisperx[35].start |
820.96 |
transcript.whisperx[35].end |
848.221 |
transcript.whisperx[35].text |
他去偵查他會說感謝民進黨政府感謝小英總統感謝賴清德總統不會啊還是過去他會說感謝蘇貞昌院長現在感謝卓榮泰院長不會我們現在還有 今年還有系統性治水500多億我們也不會分顏色因為水就是無色的水換在哪裡我們就到哪裡去處理 |
transcript.whisperx[36].start |
849.484 |
transcript.whisperx[36].end |
866.743 |
transcript.whisperx[36].text |
淹水是大家都淹沒有分顏色啊那為什麼一談到預算的時候國民黨就要分顏色呢南部地方說都民進黨要這層的所以你就把那個錢都退掉這是什麼理由我不能接受所以院長 |
transcript.whisperx[37].start |
868.089 |
transcript.whisperx[37].end |
891.821 |
transcript.whisperx[37].text |
我們希望這個副議案應該南部的立委不分區域或不分區都應該站出來支持通過這個副議案因為這是我們替人民百姓在顧我們的未來在顧我們的發展在顧我們的建設我們誰都不能置身事外 |
transcript.whisperx[38].start |
892.801 |
transcript.whisperx[38].end |
907.95 |
transcript.whisperx[38].text |
這個是我們必須要強調的所以院長加油我們南部不能像這個財化法把我們損失的這麼嚴重把我們台南砍得這麼嚴重我們台南人同樣都是在繳稅、納稅好,謝謝陳委員,謝謝卓院長下一位請林思敏委員質詢 |