IVOD_ID |
158628 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158628 |
日期 |
2025-01-02 |
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 |
2025-01-02T11:19:58+08:00 |
結束時間 |
2025-01-02T11:33:15+08:00 |
影片長度 |
00:13:17 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/186d177ad48e30e5c7546c34fca9d2971ad867d1dd5d1dbf671cb7f8abfc27ffe335e2cb9b568a595ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
賴士葆 |
委員發言時間 |
11:19:58 - 11:33:15 |
會議時間 |
2025-01-02T11:00:00+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:審查中華民國114年度中央政府總預算案附屬單位預算營業部分,關於財政部主管臺灣土地銀行股份有限公司、財政部印刷廠、臺灣菸酒股份有限公司。(詢答及處理)
【預算提案截止時間:113年12月30日(一)下午5時】
【113年12月30日及114年1月2日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
2.88284375 |
transcript.pyannote[0].end |
4.51971875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
4.70534375 |
transcript.pyannote[1].end |
5.90346875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
6.29159375 |
transcript.pyannote[2].end |
7.94534375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
7.97909375 |
transcript.pyannote[3].end |
7.99596875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
8.02971875 |
transcript.pyannote[4].end |
8.26596875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
9.14346875 |
transcript.pyannote[5].end |
12.53534375 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
13.04159375 |
transcript.pyannote[6].end |
14.39159375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
15.01596875 |
transcript.pyannote[7].end |
16.88909375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
17.36159375 |
transcript.pyannote[8].end |
19.70721875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
20.36534375 |
transcript.pyannote[9].end |
22.60971875 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
22.74471875 |
transcript.pyannote[10].end |
24.92159375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
25.51221875 |
transcript.pyannote[11].end |
27.57096875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
27.70596875 |
transcript.pyannote[12].end |
30.30471875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
30.32159375 |
transcript.pyannote[13].end |
33.27471875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
33.56159375 |
transcript.pyannote[14].end |
35.43471875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
36.21096875 |
transcript.pyannote[15].end |
36.97034375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
37.24034375 |
transcript.pyannote[16].end |
39.46784375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
39.67034375 |
transcript.pyannote[17].end |
42.50534375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
43.19721875 |
transcript.pyannote[18].end |
46.96034375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
47.58471875 |
transcript.pyannote[19].end |
47.60159375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
48.00659375 |
transcript.pyannote[20].end |
49.81221875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
50.23409375 |
transcript.pyannote[21].end |
54.23346875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
54.45284375 |
transcript.pyannote[22].end |
56.44409375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
56.66346875 |
transcript.pyannote[23].end |
69.28596875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
69.55596875 |
transcript.pyannote[24].end |
71.15909375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
71.69909375 |
transcript.pyannote[25].end |
73.35284375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
74.06159375 |
transcript.pyannote[26].end |
75.68159375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
75.85034375 |
transcript.pyannote[27].end |
77.43659375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
77.67284375 |
transcript.pyannote[28].end |
81.03096875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
81.16596875 |
transcript.pyannote[29].end |
82.02659375 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
82.17846875 |
transcript.pyannote[30].end |
93.80534375 |
transcript.pyannote[31].speaker |
SPEAKER_03 |
transcript.pyannote[31].start |
91.78034375 |
transcript.pyannote[31].end |
92.11784375 |
transcript.pyannote[32].speaker |
SPEAKER_03 |
transcript.pyannote[32].start |
92.89409375 |
transcript.pyannote[32].end |
120.67034375 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
120.68721875 |
transcript.pyannote[33].end |
124.41659375 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
124.83846875 |
transcript.pyannote[34].end |
141.17346875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
134.79471875 |
transcript.pyannote[35].end |
134.81159375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
139.16534375 |
transcript.pyannote[36].end |
149.98221875 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
141.19034375 |
transcript.pyannote[37].end |
141.71346875 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
148.49721875 |
transcript.pyannote[38].end |
162.67221875 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
162.73971875 |
transcript.pyannote[39].end |
165.72659375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
163.24596875 |
transcript.pyannote[40].end |
164.37659375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
165.72659375 |
transcript.pyannote[41].end |
165.79409375 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
165.79409375 |
transcript.pyannote[42].end |
165.91221875 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
166.14846875 |
transcript.pyannote[43].end |
166.16534375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
166.16534375 |
transcript.pyannote[44].end |
166.82346875 |
transcript.pyannote[45].speaker |
SPEAKER_03 |
transcript.pyannote[45].start |
166.82346875 |
transcript.pyannote[45].end |
166.99221875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
167.83596875 |
transcript.pyannote[46].end |
167.95409375 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
173.65784375 |
transcript.pyannote[47].end |
174.34971875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
174.70409375 |
transcript.pyannote[48].end |
175.41284375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
175.93596875 |
transcript.pyannote[49].end |
177.79221875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
178.36596875 |
transcript.pyannote[50].end |
179.04096875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
179.69909375 |
transcript.pyannote[51].end |
181.30221875 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
182.43284375 |
transcript.pyannote[52].end |
184.45784375 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
185.68971875 |
transcript.pyannote[53].end |
186.34784375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
186.73596875 |
transcript.pyannote[54].end |
187.93409375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
188.69346875 |
transcript.pyannote[55].end |
189.70596875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
190.21221875 |
transcript.pyannote[56].end |
191.27534375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
191.73096875 |
transcript.pyannote[57].end |
192.40596875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
192.40596875 |
transcript.pyannote[58].end |
192.42284375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
192.96284375 |
transcript.pyannote[59].end |
195.03846875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
195.03846875 |
transcript.pyannote[60].end |
195.76409375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
196.82721875 |
transcript.pyannote[61].end |
206.46284375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
206.53034375 |
transcript.pyannote[62].end |
226.81409375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
227.18534375 |
transcript.pyannote[63].end |
228.07971875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
228.07971875 |
transcript.pyannote[64].end |
236.28096875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
236.28096875 |
transcript.pyannote[65].end |
262.01534375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
259.97346875 |
transcript.pyannote[66].end |
263.53409375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
263.83784375 |
transcript.pyannote[67].end |
263.85471875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
263.85471875 |
transcript.pyannote[68].end |
265.71096875 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
265.91346875 |
transcript.pyannote[69].end |
266.03159375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
266.03159375 |
transcript.pyannote[70].end |
278.99159375 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
269.13659375 |
transcript.pyannote[71].end |
269.96346875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
271.22909375 |
transcript.pyannote[72].end |
272.20784375 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
277.70909375 |
transcript.pyannote[73].end |
282.38346875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
279.02534375 |
transcript.pyannote[74].end |
282.28221875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
282.38346875 |
transcript.pyannote[75].end |
282.97409375 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
282.97409375 |
transcript.pyannote[76].end |
294.48284375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
295.19159375 |
transcript.pyannote[77].end |
308.42159375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
295.61346875 |
transcript.pyannote[78].end |
296.89596875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
297.72284375 |
transcript.pyannote[79].end |
298.02659375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
298.02659375 |
transcript.pyannote[80].end |
298.27971875 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
298.27971875 |
transcript.pyannote[81].end |
298.85346875 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
306.75096875 |
transcript.pyannote[82].end |
308.53971875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
308.53971875 |
transcript.pyannote[83].end |
308.60721875 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
309.11346875 |
transcript.pyannote[84].end |
311.83034375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
309.99096875 |
transcript.pyannote[85].end |
310.59846875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
311.03721875 |
transcript.pyannote[86].end |
311.93159375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
311.83034375 |
transcript.pyannote[87].end |
312.15096875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
311.98221875 |
transcript.pyannote[88].end |
318.68159375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
312.15096875 |
transcript.pyannote[89].end |
312.20159375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
312.55596875 |
transcript.pyannote[90].end |
312.70784375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
312.70784375 |
transcript.pyannote[91].end |
312.91034375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
312.91034375 |
transcript.pyannote[92].end |
313.29846875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
319.62659375 |
transcript.pyannote[93].end |
320.03159375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
320.03159375 |
transcript.pyannote[94].end |
320.09909375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
320.09909375 |
transcript.pyannote[95].end |
320.55471875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
320.55471875 |
transcript.pyannote[96].end |
330.66284375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
322.00596875 |
transcript.pyannote[97].end |
323.00159375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
330.89909375 |
transcript.pyannote[98].end |
332.73846875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
333.48096875 |
transcript.pyannote[99].end |
348.22971875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
335.97846875 |
transcript.pyannote[100].end |
336.04596875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
336.04596875 |
transcript.pyannote[101].end |
337.76721875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
348.22971875 |
transcript.pyannote[102].end |
353.93346875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
348.61784375 |
transcript.pyannote[103].end |
349.03971875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
354.77721875 |
transcript.pyannote[104].end |
355.80659375 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
355.43534375 |
transcript.pyannote[105].end |
357.25784375 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
358.03409375 |
transcript.pyannote[106].end |
362.35409375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
362.79284375 |
transcript.pyannote[107].end |
364.24409375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
364.64909375 |
transcript.pyannote[108].end |
365.94846875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
366.97784375 |
transcript.pyannote[109].end |
367.53471875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
368.36159375 |
transcript.pyannote[110].end |
370.03221875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
370.45409375 |
transcript.pyannote[111].end |
371.90534375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
373.57596875 |
transcript.pyannote[112].end |
374.26784375 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
374.31846875 |
transcript.pyannote[113].end |
378.38534375 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
378.62159375 |
transcript.pyannote[114].end |
380.17409375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
380.47784375 |
transcript.pyannote[115].end |
386.51909375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
387.53159375 |
transcript.pyannote[116].end |
432.52034375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
425.19659375 |
transcript.pyannote[117].end |
426.85034375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
428.03159375 |
transcript.pyannote[118].end |
428.11596875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
428.11596875 |
transcript.pyannote[119].end |
433.02659375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
432.92534375 |
transcript.pyannote[120].end |
436.65471875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
433.02659375 |
transcript.pyannote[121].end |
443.03346875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
436.65471875 |
transcript.pyannote[122].end |
436.82346875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
436.85721875 |
transcript.pyannote[123].end |
436.97534375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
443.92784375 |
transcript.pyannote[124].end |
444.85596875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
445.66596875 |
transcript.pyannote[125].end |
449.34471875 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
449.73284375 |
transcript.pyannote[126].end |
451.77471875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
452.44971875 |
transcript.pyannote[127].end |
453.04034375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
453.58034375 |
transcript.pyannote[128].end |
453.61409375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
453.61409375 |
transcript.pyannote[129].end |
454.20471875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
454.74471875 |
transcript.pyannote[130].end |
457.78221875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
455.03159375 |
transcript.pyannote[131].end |
455.40284375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
460.48221875 |
transcript.pyannote[132].end |
469.25721875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
461.14034375 |
transcript.pyannote[133].end |
461.81534375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
461.96721875 |
transcript.pyannote[134].end |
464.80221875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
469.91534375 |
transcript.pyannote[135].end |
471.24846875 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
471.65346875 |
transcript.pyannote[136].end |
473.93159375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
474.75846875 |
transcript.pyannote[137].end |
476.81721875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
477.32346875 |
transcript.pyannote[138].end |
479.02784375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
479.02784375 |
transcript.pyannote[139].end |
479.28096875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
480.52971875 |
transcript.pyannote[140].end |
494.24909375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
482.01471875 |
transcript.pyannote[141].end |
483.73596875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
492.83159375 |
transcript.pyannote[142].end |
494.29971875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
494.29971875 |
transcript.pyannote[143].end |
494.35034375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
494.35034375 |
transcript.pyannote[144].end |
494.38409375 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
494.60346875 |
transcript.pyannote[145].end |
495.36284375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
495.63284375 |
transcript.pyannote[146].end |
495.68346875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
495.68346875 |
transcript.pyannote[147].end |
497.67471875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
496.37534375 |
transcript.pyannote[148].end |
497.62409375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
500.62784375 |
transcript.pyannote[149].end |
502.28159375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
502.41659375 |
transcript.pyannote[150].end |
503.34471875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
506.93909375 |
transcript.pyannote[151].end |
507.46221875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
507.83346875 |
transcript.pyannote[152].end |
509.09909375 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
510.14534375 |
transcript.pyannote[153].end |
511.78221875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
512.06909375 |
transcript.pyannote[154].end |
512.22096875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
512.28846875 |
transcript.pyannote[155].end |
513.25034375 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
514.02659375 |
transcript.pyannote[156].end |
514.95471875 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
515.89971875 |
transcript.pyannote[157].end |
516.69284375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
517.04721875 |
transcript.pyannote[158].end |
520.60784375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
521.89034375 |
transcript.pyannote[159].end |
523.18971875 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
524.50596875 |
transcript.pyannote[160].end |
526.09221875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
527.29034375 |
transcript.pyannote[161].end |
528.65721875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
528.94409375 |
transcript.pyannote[162].end |
530.04096875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
530.36159375 |
transcript.pyannote[163].end |
532.38659375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
533.06159375 |
transcript.pyannote[164].end |
534.79971875 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
534.88409375 |
transcript.pyannote[165].end |
535.72784375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
536.60534375 |
transcript.pyannote[166].end |
546.15659375 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
546.69659375 |
transcript.pyannote[167].end |
548.72159375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
549.49784375 |
transcript.pyannote[168].end |
566.71034375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
564.19596875 |
transcript.pyannote[169].end |
564.51659375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
564.51659375 |
transcript.pyannote[170].end |
564.58409375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
564.58409375 |
transcript.pyannote[171].end |
564.66846875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
564.66846875 |
transcript.pyannote[172].end |
564.68534375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
564.68534375 |
transcript.pyannote[173].end |
564.73596875 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
565.02284375 |
transcript.pyannote[174].end |
570.01784375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
566.86221875 |
transcript.pyannote[175].end |
567.97596875 |
transcript.pyannote[176].speaker |
SPEAKER_02 |
transcript.pyannote[176].start |
570.79409375 |
transcript.pyannote[176].end |
571.30034375 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
571.68846875 |
transcript.pyannote[177].end |
576.37971875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
576.53159375 |
transcript.pyannote[178].end |
582.31971875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
582.79221875 |
transcript.pyannote[179].end |
583.82159375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
583.82159375 |
transcript.pyannote[180].end |
593.65971875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
593.52471875 |
transcript.pyannote[181].end |
594.55409375 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
594.72284375 |
transcript.pyannote[182].end |
596.39346875 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
596.93346875 |
transcript.pyannote[183].end |
597.64221875 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
597.84471875 |
transcript.pyannote[184].end |
603.61596875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
602.45159375 |
transcript.pyannote[185].end |
602.80596875 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
603.98721875 |
transcript.pyannote[186].end |
606.21471875 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
606.73784375 |
transcript.pyannote[187].end |
608.03721875 |
transcript.pyannote[188].speaker |
SPEAKER_04 |
transcript.pyannote[188].start |
608.03721875 |
transcript.pyannote[188].end |
618.98909375 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
618.36471875 |
transcript.pyannote[189].end |
618.38159375 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
618.48284375 |
transcript.pyannote[190].end |
618.58409375 |
transcript.pyannote[191].speaker |
SPEAKER_04 |
transcript.pyannote[191].start |
620.20409375 |
transcript.pyannote[191].end |
624.65909375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
623.39346875 |
transcript.pyannote[192].end |
624.96284375 |
transcript.pyannote[193].speaker |
SPEAKER_04 |
transcript.pyannote[193].start |
624.96284375 |
transcript.pyannote[193].end |
625.03034375 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
625.03034375 |
transcript.pyannote[194].end |
625.97534375 |
transcript.pyannote[195].speaker |
SPEAKER_04 |
transcript.pyannote[195].start |
625.97534375 |
transcript.pyannote[195].end |
626.02596875 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
626.02596875 |
transcript.pyannote[196].end |
626.70096875 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
628.30409375 |
transcript.pyannote[197].end |
628.65846875 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
629.31659375 |
transcript.pyannote[198].end |
631.93221875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
632.37096875 |
transcript.pyannote[199].end |
634.42971875 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
634.86846875 |
transcript.pyannote[200].end |
637.66971875 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
639.13784375 |
transcript.pyannote[201].end |
642.04034375 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
642.90096875 |
transcript.pyannote[202].end |
645.12846875 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
646.51221875 |
transcript.pyannote[203].end |
647.05221875 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
648.06471875 |
transcript.pyannote[204].end |
650.22471875 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
651.50721875 |
transcript.pyannote[205].end |
653.26221875 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
653.83596875 |
transcript.pyannote[206].end |
655.23659375 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
656.18159375 |
transcript.pyannote[207].end |
657.46409375 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
657.97034375 |
transcript.pyannote[208].end |
659.43846875 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
659.87721875 |
transcript.pyannote[209].end |
663.08346875 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
663.91034375 |
transcript.pyannote[210].end |
665.73284375 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
666.07034375 |
transcript.pyannote[211].end |
666.67784375 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
667.01534375 |
transcript.pyannote[212].end |
667.96034375 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
668.55096875 |
transcript.pyannote[213].end |
669.66471875 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
670.03596875 |
transcript.pyannote[214].end |
672.04409375 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
672.19596875 |
transcript.pyannote[215].end |
672.66846875 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
673.19159375 |
transcript.pyannote[216].end |
676.54971875 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
677.71409375 |
transcript.pyannote[217].end |
679.70534375 |
transcript.pyannote[218].speaker |
SPEAKER_02 |
transcript.pyannote[218].start |
679.82346875 |
transcript.pyannote[218].end |
680.71784375 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
681.17346875 |
transcript.pyannote[219].end |
681.69659375 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
682.59096875 |
transcript.pyannote[220].end |
683.77221875 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
684.41346875 |
transcript.pyannote[221].end |
686.92784375 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
687.97409375 |
transcript.pyannote[222].end |
688.78409375 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
690.10034375 |
transcript.pyannote[223].end |
690.58971875 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
690.72471875 |
transcript.pyannote[224].end |
691.87221875 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
692.90159375 |
transcript.pyannote[225].end |
695.56784375 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
696.44534375 |
transcript.pyannote[226].end |
699.11159375 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
699.75284375 |
transcript.pyannote[227].end |
701.23784375 |
transcript.pyannote[228].speaker |
SPEAKER_02 |
transcript.pyannote[228].start |
702.21659375 |
transcript.pyannote[228].end |
702.94221875 |
transcript.pyannote[229].speaker |
SPEAKER_04 |
transcript.pyannote[229].start |
704.71409375 |
transcript.pyannote[229].end |
723.51284375 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
723.58034375 |
transcript.pyannote[230].end |
726.33096875 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
726.34784375 |
transcript.pyannote[231].end |
729.01409375 |
transcript.pyannote[232].speaker |
SPEAKER_04 |
transcript.pyannote[232].start |
729.03096875 |
transcript.pyannote[232].end |
730.41471875 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
729.68909375 |
transcript.pyannote[233].end |
738.05909375 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
738.68346875 |
transcript.pyannote[234].end |
741.63659375 |
transcript.pyannote[235].speaker |
SPEAKER_02 |
transcript.pyannote[235].start |
742.10909375 |
transcript.pyannote[235].end |
746.53034375 |
transcript.pyannote[236].speaker |
SPEAKER_04 |
transcript.pyannote[236].start |
747.23909375 |
transcript.pyannote[236].end |
752.25096875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
751.45784375 |
transcript.pyannote[237].end |
753.28034375 |
transcript.pyannote[238].speaker |
SPEAKER_04 |
transcript.pyannote[238].start |
753.28034375 |
transcript.pyannote[238].end |
753.34784375 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
753.34784375 |
transcript.pyannote[239].end |
757.34721875 |
transcript.pyannote[240].speaker |
SPEAKER_04 |
transcript.pyannote[240].start |
753.76971875 |
transcript.pyannote[240].end |
754.39409375 |
transcript.pyannote[241].speaker |
SPEAKER_04 |
transcript.pyannote[241].start |
757.85346875 |
transcript.pyannote[241].end |
762.96659375 |
transcript.pyannote[242].speaker |
SPEAKER_02 |
transcript.pyannote[242].start |
762.34221875 |
transcript.pyannote[242].end |
762.94971875 |
transcript.pyannote[243].speaker |
SPEAKER_02 |
transcript.pyannote[243].start |
762.96659375 |
transcript.pyannote[243].end |
763.62471875 |
transcript.pyannote[244].speaker |
SPEAKER_04 |
transcript.pyannote[244].start |
763.62471875 |
transcript.pyannote[244].end |
763.65846875 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
763.65846875 |
transcript.pyannote[245].end |
764.82284375 |
transcript.pyannote[246].speaker |
SPEAKER_04 |
transcript.pyannote[246].start |
764.82284375 |
transcript.pyannote[246].end |
764.85659375 |
transcript.pyannote[247].speaker |
SPEAKER_04 |
transcript.pyannote[247].start |
764.95784375 |
transcript.pyannote[247].end |
768.97409375 |
transcript.pyannote[248].speaker |
SPEAKER_02 |
transcript.pyannote[248].start |
768.45096875 |
transcript.pyannote[248].end |
780.04409375 |
transcript.pyannote[249].speaker |
SPEAKER_02 |
transcript.pyannote[249].start |
780.11159375 |
transcript.pyannote[249].end |
786.05159375 |
transcript.pyannote[250].speaker |
SPEAKER_02 |
transcript.pyannote[250].start |
786.37221875 |
transcript.pyannote[250].end |
791.97471875 |
transcript.pyannote[251].speaker |
SPEAKER_02 |
transcript.pyannote[251].start |
792.91971875 |
transcript.pyannote[251].end |
794.35409375 |
transcript.pyannote[252].speaker |
SPEAKER_04 |
transcript.pyannote[252].start |
797.25659375 |
transcript.pyannote[252].end |
797.61096875 |
transcript.whisperx[0].start |
3.399 |
transcript.whisperx[0].end |
19.498 |
transcript.whisperx[0].text |
謝謝主席 各位先進我先提一個權宜問題今天我們要省土銀還有印刷廠的預算結果今天巡打馬上就處理 |
transcript.whisperx[1].start |
20.579 |
transcript.whisperx[1].end |
42.276 |
transcript.whisperx[1].text |
過去從來沒有這個慣例 因為現在有七十幾個案子也都沒有跟委員協調 到目前只有十幾個案子有協調所以我具體的建議 今天只有詢問 不要處理然後呢 我建議我們的召委 因為為什麼他要這樣子 召委員無奈 |
transcript.whisperx[2].start |
43.237 |
transcript.whisperx[2].end |
71.013 |
transcript.whisperx[2].text |
很無奈 因為今天是最後一次他當召委了所以下個禮拜能不能夠跟另外一位召委就外匯委員跟他借一個小時的時間那是今天這樣子我們來處理我想這樣對委員比較尊重因為今天還有一整天的時間可以去讓行政部門跟我們委員還有討論否則七十幾個案子一個一個討論這個也不是個辦法 |
transcript.whisperx[3].start |
71.753 |
transcript.whisperx[3].end |
92.539 |
transcript.whisperx[3].text |
哇 你真的不行那整個案子就送到朝委協商也不是不可以過去的案例是 喔來不及了 啊來不及就往前送往前送 就不要今天這樣子今天給人家感覺很倉促啦 處理的品質很不好也不尊重立委好不好 我就提這樣的一個缺乳問題 |
transcript.whisperx[4].start |
94.72 |
transcript.whisperx[4].end |
123.099 |
transcript.whisperx[4].text |
等下我們跟賴昭偉討論如果他同意下個禮拜借我禮拜一借我大概一個小時的時間那我們現在的這個相關的提案預算案只有71個案子那71個案子如果今天不處理我想這個土銀 煙酒公司印刷廠那你們可以趕快花時間到下個禮拜一比如說9點我們來審查這個預算的時候你們還有一天多的時間可以跟各個各位委員去做溝通說不定70幾個案子溝通 |
transcript.whisperx[5].start |
124.94 |
transcript.whisperx[5].end |
140.847 |
transcript.whisperx[5].text |
完以後說不定剩下沒有多少個案子說不定委員都可以有溝通的這個說是不是不一定簡略啊說不定是凍結啊或是給大家一點時間好了等一下如果賴委員同意等一下賴委員會過來如果他同意的話我們就下個禮拜一來講對 我就說下個禮拜借一個小時時間給我們那個陳委員啊 陳昭偉啊 |
transcript.whisperx[6].start |
148.711 |
transcript.whisperx[6].end |
165.481 |
transcript.whisperx[6].text |
等一下如果賴委員同意下個禮拜給我一個小時的時間因為70幾個案子現在只有溝通了11個案子那我們還是給相關單位一點時間繼續做溝通如果可以縮減的話那到時候事實上下個禮拜也會很快的就審查完畢嘛好 這樣可以嗎可以可以 如果賴委員同意的話可以好 謝謝好 請部長 |
transcript.whisperx[7].start |
173.863 |
transcript.whisperx[7].end |
195.592 |
transcript.whisperx[7].text |
委員好部長你好我還是關心財化法昨天賴總統講話了他說要用更大的民族他講的就是要提富裕啦要提視線啦要提公統啦我請問你是不是確定財化法要提富裕是不是 |
transcript.whisperx[8].start |
197.361 |
transcript.whisperx[8].end |
206.112 |
transcript.whisperx[8].text |
委員第一個目前來說12月20號三讀通過的裁劃法目前還沒有送出立法院還在行政院那對於修正的裁劃法 |
transcript.whisperx[9].start |
211.98 |
transcript.whisperx[9].end |
227.476 |
transcript.whisperx[9].text |
那我們和主總也都在盤一些對於這個中央施政的一些影響以及我們行政團隊會以什麼樣的合憲合法的一些程序來做一些救濟的措施也都在各種措施都在評估當中是這樣子的 |
transcript.whisperx[10].start |
228.117 |
transcript.whisperx[10].end |
248.717 |
transcript.whisperx[10].text |
那你們有哪些業務要抹給地方你們一直講說錢給了 事情要給有沒有評估哪些事情給地方至於哪一些業務要做一些移轉因為支出的移轉跟業務的移轉是有相關聯的那是屬於各部會各部會的業務的部分什麼時候可以清出來 |
transcript.whisperx[11].start |
249.718 |
transcript.whisperx[11].end |
252.582 |
transcript.whisperx[11].text |
什麼時候會計出來我想這個部分行政院會跟各部會去做討論然後看哪一些業務適合做移轉那因為財政部這個部分並沒有去做實際的這個你們財政部啊到現在為止啊擺爛的地方就是你們到現在都沒有版本啊 |
transcript.whisperx[12].start |
266.256 |
transcript.whisperx[12].end |
280.321 |
transcript.whisperx[12].text |
沒有辦法討論委員 財政局並沒有擺爛也跟委員說很多次的說明財化法的修正它必須要經過充分的討論現在已經刪渡通過了講這些現在已經刪渡通過了火車火車已經開到左營了你還在講說台北怎麼開桃園怎麼開 已經開到左營了 |
transcript.whisperx[13].start |
295.126 |
transcript.whisperx[13].end |
299.728 |
transcript.whisperx[13].text |
因為委員說財政部擺爛所以我才做這個說明但我也知道目前12月20號已經通過了財化法的修正三讀通過了你們就是要叫你不要再回覆說不能接受不能接受他已經通過了不能接受什麼 |
transcript.whisperx[14].start |
319.976 |
transcript.whisperx[14].end |
332.501 |
transcript.whisperx[14].text |
你怎麼去把他推翻除了你公投把他推翻我剛剛才跟委員報告就是說有關在這個合憲合法的行程程序上大家再來討論相關的因應措施那是哪些因應措施 |
transcript.whisperx[15].start |
333.593 |
transcript.whisperx[15].end |
353.631 |
transcript.whisperx[15].text |
目前都在評估當中那您剛剛也提到了 比如說支出水桶業務的移轉的部分那當然涉及到各部會議的一些計畫的業務的部分也都在現在我們要看喔 我們也正在審114年的總預算是的 是的我們沒有耽誤你們喔 |
transcript.whisperx[16].start |
358.109 |
transcript.whisperx[16].end |
386.229 |
transcript.whisperx[16].text |
所以現在有學者 我看了一下 今天有學者點名的所以能不能大家乾脆各退一步就是啊 因為現在已經省完預算啦你們也來不及啦乾脆115年開始實施新的法 你們也不要囉嗦也不要去提視線 不要提復義大家各退一步 這樣的 有學者這樣的建議你們的看法怎麼樣 |
transcript.whisperx[17].start |
387.574 |
transcript.whisperx[17].end |
393.056 |
transcript.whisperx[17].text |
是的我們之前也很清楚的說明114年已經展開了各項的業務要往前走都要往前推展所以我們也希望我們大院能夠趕快審議完畢114年度的預算讓各項施政可以不要受到影響謝謝立法院能夠這樣幫我們一起審查這個預算那至於您提到就是說通過的這個財化法 |
transcript.whisperx[18].start |
415.862 |
transcript.whisperx[18].end |
442.807 |
transcript.whisperx[18].text |
但是由於他現在的條文是這麼寫的就是說公佈後就生效嘛就施行了就公佈日施行那是不是要怎麼樣調整我覺得當然委員您提出了這樣的一個行政院報就學者提出來我只是替你雞婆替你想一個解套方式大家這樣子否則的話火車一樣對撞這個沒完沒了到現在為止是沒完沒了的沒完沒了 |
transcript.whisperx[19].start |
445.697 |
transcript.whisperx[19].end |
457.703 |
transcript.whisperx[19].text |
你們不接受 你們現在不接受那怎麼辦咧 法律通過了你不能夠說法律通過的你不管他啊 不可以啊當然現在機關必須依法行政是一個事實你再仔細想一下啦齁這些學者的意見啦多去整理啊想一想怎麼樣火車往前開啦其實還有一招嘛你們稅計勝利拿出來補 |
transcript.whisperx[20].start |
475.407 |
transcript.whisperx[20].end |
497.683 |
transcript.whisperx[20].text |
這個3000多億就有了啊 為什麼一定不能拿出來呢 稅計剩餘啊稅計剩餘的部分 稅計剩餘的金額可能沒有那麼高照那天主計長的一個說法 稅計剩餘的金額應該是有限的對 有限的 那至於今年就這些了啦 問你喔 那個燕酒公司 董事長一起來湯董事長是嗎 是董事長 董事長 |
transcript.whisperx[21].start |
507.134 |
transcript.whisperx[21].end |
534.152 |
transcript.whisperx[21].text |
這個啊你們今年度啊營業額獲利都不達預期的目標差很多你們的員工啊績效跟年終獎金只有2.5個月部長仔細聽好 部長你們這裡面來講的話台電 中油它也業績也不行啊可是它一樣可以領4.4個月財政部你怎麼樣幫他講話經濟部 |
transcript.whisperx[22].start |
537.25 |
transcript.whisperx[22].end |
544.696 |
transcript.whisperx[22].text |
莊園台電沒有到達預定的目標一樣領4.4個月可是財政部就沒有啊底下只有領2.5個月你要不要幫燕酒公司講講話來 部長 |
transcript.whisperx[23].start |
551.041 |
transcript.whisperx[23].end |
566.927 |
transcript.whisperx[23].text |
謝謝委員對我們菸酒公司同仁的一個鼓勵那我想這個有關績效加到年終獎金怎麼計算都有一套的制度那我們認為就是說其實菸酒公司湯董事長來了以後他也非常的積極在做這個委員你不要講這些有的沒的你就跟我講你怎麼爭取的啊 |
transcript.whisperx[24].start |
570.829 |
transcript.whisperx[24].end |
594.049 |
transcript.whisperx[24].text |
因為一樣中油台電不達標但是記下獎金拿4.4個月研究公司不達標為什麼只能夠拿2.5個月你告訴我啊你怎麼辦啊部長啊台電才這麼講話啊我先這樣講台電跟中油基本它有一個公用事業性質在裡面它可能有一些比較多的一個政策性在裡面我相信是這樣子所以就是 |
transcript.whisperx[25].start |
594.85 |
transcript.whisperx[25].end |
607.574 |
transcript.whisperx[25].text |
台電中央就是政府關心的原則說是4號原則說是4號董事長講話 董事長你講話爭取一下 給你機會爭取跟委員報告我們明年還是會積極努力的替員工來爭取達標4.4個月這個是我來的目標如果達不到的你要不要下台 |
transcript.whisperx[26].start |
620.279 |
transcript.whisperx[26].end |
646.741 |
transcript.whisperx[26].text |
我們會盡全力來努力我們會盡全力來努力你應該有氣魄喔 年輕人有氣魄是打不到我下台來了喔 告訴你 留一年留一年長官看好啊今天一九公司為什麼這麼辛苦有很重要的兩大原因第一個賴清德總統當台南市長的時候他設立了捷太日菸台南廠 |
transcript.whisperx[27].start |
648.366 |
transcript.whisperx[27].end |
676.316 |
transcript.whisperx[27].text |
結果市佔率42.5%國產業只有23%這是很重的原因日本老還越來啊日本大哥哥來清德關的我站著給人家設公司要專門打我們的研究公司第二個 海尼根你們的啤酒海尼根今年四月在屏東市要變成東北亞的公戶中心 |
transcript.whisperx[28].start |
677.785 |
transcript.whisperx[28].end |
685.911 |
transcript.whisperx[28].text |
這兩個月的一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年一年 |
transcript.whisperx[29].start |
705.021 |
transcript.whisperx[29].end |
723.184 |
transcript.whisperx[29].text |
各位我們報告事實上這個捷太跟這個海尼根這自由化競爭本來就存在這個市場那我來單位四個多月我們的團隊都相當的優秀所以我們對於明年超過2.5個月我們還是保持很高的信心 |
transcript.whisperx[30].start |
723.704 |
transcript.whisperx[30].end |
745.665 |
transcript.whisperx[30].text |
怎麼樣增加啊 你現在都節節敗退啊業績會縮啊 業績越來越糟啊大陸市場也不可以啊大陸你現在進不去啊 兩岸關係這麼不好以前可以賣大陸 啤酒可以賣大陸現在大陸也進不去啊 你不知道要怎麼樣啦你現在開拓什麼市場 你告訴我是不是給你 催牛沒關係給你催你準備怎麼打開市場 |
transcript.whisperx[31].start |
747.427 |
transcript.whisperx[31].end |
757.141 |
transcript.whisperx[31].text |
各位我們報告因為剛剛我提的我們的員工都相當優秀你講這個聽不懂啊你能不能講說我開拓美國市場可以嗎 |
transcript.whisperx[32].start |
758.058 |
transcript.whisperx[32].end |
785.797 |
transcript.whisperx[32].text |
我們確實我們國外的市場明年會有新的訂單也都在洽在哪裡在哪裡因為現在還在保密階段可能不方便隨便亂講啊市場在哪裡天邊彩虹根本就是沒有看到你們的陰影所以台灣煙酒公司業績節節敗退這才是很悲哀的而且部長又不幫你們講話說因為我有政策目 |
transcript.whisperx[33].start |
786.457 |
transcript.whisperx[33].end |
794.109 |
transcript.whisperx[33].text |
我有政策的目標 中有台電的政策目標都可以要領4.4 你們就領不到公會要找你喔 跟你講 |