video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/be8492a9d81d8eab4aae468c751e9bc91ff0707298ac1983dab7a15ce7d2e4801614a9641f3446d05ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅明才 |
委員發言時間 |
16:01:49 - 16:09:36 |
影片長度 |
467 |
會議時間 |
2024-11-20T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期財政、內政、經濟、教育及文化、交通、社會福利及衛生環境委員會第1次聯席會議(事由:一、邀請相關部會首長就「中央政府前瞻基礎建設計畫第4期特別預算執行情形及成效」進行專題報告,並備質詢。
二、審查行政院函請審議「中央政府前瞻基礎建設計畫第5期特別預算案(114年度)」(僅詢答)。
【預算提案截止時間:11月27日(三)中午12時】
【11月20日及21日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.73971875 |
transcript.pyannote[0].end |
1.73534375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
2.96721875 |
transcript.pyannote[1].end |
4.21596875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
4.26659375 |
transcript.pyannote[2].end |
5.59971875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
7.25346875 |
transcript.pyannote[3].end |
8.11409375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
8.50221875 |
transcript.pyannote[4].end |
10.29096875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
8.67096875 |
transcript.pyannote[5].end |
9.59909375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
10.49346875 |
transcript.pyannote[6].end |
11.25284375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
12.14721875 |
transcript.pyannote[7].end |
15.37034375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
15.82596875 |
transcript.pyannote[8].end |
27.65534375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
27.97596875 |
transcript.pyannote[9].end |
32.92034375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
33.27471875 |
transcript.pyannote[10].end |
38.89409375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
39.19784375 |
transcript.pyannote[11].end |
40.83471875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
41.00346875 |
transcript.pyannote[12].end |
43.63596875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
44.12534375 |
transcript.pyannote[13].end |
44.85096875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
47.98971875 |
transcript.pyannote[14].end |
49.22159375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
49.62659375 |
transcript.pyannote[15].end |
56.05596875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
56.83221875 |
transcript.pyannote[16].end |
57.42284375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
57.99659375 |
transcript.pyannote[17].end |
58.92471875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
59.75159375 |
transcript.pyannote[18].end |
60.29159375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
60.73034375 |
transcript.pyannote[19].end |
61.25346875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
62.19846875 |
transcript.pyannote[20].end |
62.99159375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
64.74659375 |
transcript.pyannote[21].end |
65.47221875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
66.46784375 |
transcript.pyannote[22].end |
68.18909375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
69.92721875 |
transcript.pyannote[23].end |
71.26034375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
72.99846875 |
transcript.pyannote[24].end |
73.82534375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
75.49596875 |
transcript.pyannote[25].end |
76.45784375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
78.01034375 |
transcript.pyannote[26].end |
78.56721875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
78.75284375 |
transcript.pyannote[27].end |
79.56284375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
81.03096875 |
transcript.pyannote[28].end |
82.34721875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
83.81534375 |
transcript.pyannote[29].end |
84.49034375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
85.13159375 |
transcript.pyannote[30].end |
87.19034375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
87.83159375 |
transcript.pyannote[31].end |
89.68784375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
89.70471875 |
transcript.pyannote[32].end |
91.24034375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
92.21909375 |
transcript.pyannote[33].end |
92.77596875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
93.56909375 |
transcript.pyannote[34].end |
94.63221875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
95.25659375 |
transcript.pyannote[35].end |
96.85971875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
98.74971875 |
transcript.pyannote[36].end |
101.17971875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
102.41159375 |
transcript.pyannote[37].end |
103.44096875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
103.72784375 |
transcript.pyannote[38].end |
105.14534375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
106.09034375 |
transcript.pyannote[39].end |
107.25471875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
108.19971875 |
transcript.pyannote[40].end |
109.04346875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
110.51159375 |
transcript.pyannote[41].end |
113.65034375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
114.27471875 |
transcript.pyannote[42].end |
116.48534375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
117.76784375 |
transcript.pyannote[43].end |
120.77159375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
121.05846875 |
transcript.pyannote[44].end |
121.48034375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
122.56034375 |
transcript.pyannote[45].end |
123.08346875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
123.87659375 |
transcript.pyannote[46].end |
124.87221875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
127.03221875 |
transcript.pyannote[47].end |
127.65659375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
128.56784375 |
transcript.pyannote[48].end |
129.86721875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
131.25096875 |
transcript.pyannote[49].end |
133.15784375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
133.37721875 |
transcript.pyannote[50].end |
135.25034375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
135.68909375 |
transcript.pyannote[51].end |
137.52846875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
138.06846875 |
transcript.pyannote[52].end |
138.99659375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
139.55346875 |
transcript.pyannote[53].end |
141.17346875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
142.23659375 |
transcript.pyannote[54].end |
143.99159375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
145.13909375 |
transcript.pyannote[55].end |
145.89846875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
146.32034375 |
transcript.pyannote[56].end |
147.02909375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
148.48034375 |
transcript.pyannote[57].end |
149.10471875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
150.11721875 |
transcript.pyannote[58].end |
152.27721875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
152.27721875 |
transcript.pyannote[59].end |
152.31096875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
153.15471875 |
transcript.pyannote[60].end |
153.79596875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
153.79596875 |
transcript.pyannote[61].end |
153.84659375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
155.31471875 |
transcript.pyannote[62].end |
186.75284375 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
188.05221875 |
transcript.pyannote[63].end |
202.36221875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
201.19784375 |
transcript.pyannote[64].end |
206.66534375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
205.14659375 |
transcript.pyannote[65].end |
205.60221875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
206.24346875 |
transcript.pyannote[66].end |
206.27721875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
207.08721875 |
transcript.pyannote[67].end |
210.85034375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
211.12034375 |
transcript.pyannote[68].end |
212.41971875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
212.79096875 |
transcript.pyannote[69].end |
214.14096875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
214.46159375 |
transcript.pyannote[70].end |
216.11534375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
216.75659375 |
transcript.pyannote[71].end |
217.38096875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
217.75221875 |
transcript.pyannote[72].end |
219.37221875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
220.87409375 |
transcript.pyannote[73].end |
221.70096875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
222.42659375 |
transcript.pyannote[74].end |
223.72596875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
223.72596875 |
transcript.pyannote[75].end |
223.75971875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
225.12659375 |
transcript.pyannote[76].end |
235.16721875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
235.62284375 |
transcript.pyannote[77].end |
239.77409375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
240.17909375 |
transcript.pyannote[78].end |
248.02596875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
245.79846875 |
transcript.pyannote[79].end |
247.62096875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
248.02596875 |
transcript.pyannote[80].end |
248.05971875 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
248.05971875 |
transcript.pyannote[81].end |
248.12721875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
248.12721875 |
transcript.pyannote[82].end |
251.02971875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
248.14409375 |
transcript.pyannote[83].end |
248.53221875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
251.33346875 |
transcript.pyannote[84].end |
253.86471875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
255.51846875 |
transcript.pyannote[85].end |
256.05846875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
256.46346875 |
transcript.pyannote[86].end |
257.44221875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
260.05784375 |
transcript.pyannote[87].end |
260.63159375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
262.20096875 |
transcript.pyannote[88].end |
262.94346875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
263.90534375 |
transcript.pyannote[89].end |
265.23846875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
265.98096875 |
transcript.pyannote[90].end |
266.28471875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
266.28471875 |
transcript.pyannote[91].end |
267.65159375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
267.98909375 |
transcript.pyannote[92].end |
269.35596875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
269.84534375 |
transcript.pyannote[93].end |
271.87034375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
272.84909375 |
transcript.pyannote[94].end |
280.39221875 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
276.61221875 |
transcript.pyannote[95].end |
277.21971875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
277.91159375 |
transcript.pyannote[96].end |
277.99596875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
282.53534375 |
transcript.pyannote[97].end |
283.19346875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
283.75034375 |
transcript.pyannote[98].end |
284.76284375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
285.33659375 |
transcript.pyannote[99].end |
286.48409375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
286.97346875 |
transcript.pyannote[100].end |
293.01471875 |
transcript.pyannote[101].speaker |
SPEAKER_03 |
transcript.pyannote[101].start |
293.65596875 |
transcript.pyannote[101].end |
294.02721875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
294.02721875 |
transcript.pyannote[102].end |
294.04409375 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
294.04409375 |
transcript.pyannote[103].end |
294.06096875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
294.06096875 |
transcript.pyannote[104].end |
297.55409375 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
294.12846875 |
transcript.pyannote[105].end |
294.53346875 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
297.55409375 |
transcript.pyannote[106].end |
303.52784375 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
303.86534375 |
transcript.pyannote[107].end |
306.31221875 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
306.85221875 |
transcript.pyannote[108].end |
312.38721875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
310.58159375 |
transcript.pyannote[109].end |
312.43784375 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
313.19721875 |
transcript.pyannote[110].end |
313.36596875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
313.97346875 |
transcript.pyannote[111].end |
314.31096875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
314.05784375 |
transcript.pyannote[112].end |
314.27721875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
314.31096875 |
transcript.pyannote[113].end |
314.93534375 |
transcript.pyannote[114].speaker |
SPEAKER_03 |
transcript.pyannote[114].start |
314.93534375 |
transcript.pyannote[114].end |
319.57596875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
319.57596875 |
transcript.pyannote[115].end |
320.99346875 |
transcript.pyannote[116].speaker |
SPEAKER_03 |
transcript.pyannote[116].start |
322.25909375 |
transcript.pyannote[116].end |
322.34346875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
322.86659375 |
transcript.pyannote[117].end |
328.57034375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
328.89096875 |
transcript.pyannote[118].end |
332.97471875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
332.97471875 |
transcript.pyannote[119].end |
342.84659375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
342.98159375 |
transcript.pyannote[120].end |
362.94471875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
362.94471875 |
transcript.pyannote[121].end |
370.20096875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
370.25159375 |
transcript.pyannote[122].end |
371.71971875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
372.10784375 |
transcript.pyannote[123].end |
380.86596875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
380.86596875 |
transcript.pyannote[124].end |
380.91659375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
381.79409375 |
transcript.pyannote[125].end |
381.81096875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
381.81096875 |
transcript.pyannote[126].end |
389.21909375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
389.82659375 |
transcript.pyannote[127].end |
395.15909375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
395.44596875 |
transcript.pyannote[128].end |
401.21721875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
401.21721875 |
transcript.pyannote[129].end |
405.65534375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
401.31846875 |
transcript.pyannote[130].end |
401.97659375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
405.79034375 |
transcript.pyannote[131].end |
408.22034375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
409.01346875 |
transcript.pyannote[132].end |
412.30409375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
412.94534375 |
transcript.pyannote[133].end |
415.42596875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
416.06721875 |
transcript.pyannote[134].end |
428.23409375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
428.55471875 |
transcript.pyannote[135].end |
432.45284375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
432.90846875 |
transcript.pyannote[136].end |
434.07284375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
434.71409375 |
transcript.pyannote[137].end |
443.25284375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
443.80971875 |
transcript.pyannote[138].end |
449.98596875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
451.80846875 |
transcript.pyannote[139].end |
452.17971875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
452.44971875 |
transcript.pyannote[140].end |
453.44534375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
453.44534375 |
transcript.pyannote[141].end |
454.81221875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
455.79096875 |
transcript.pyannote[142].end |
458.72721875 |
transcript.whisperx[0].start |
0.289 |
transcript.whisperx[0].end |
9.591 |
transcript.whisperx[0].text |
首先我們看到洋洋灑灑大概4000多億、8000多億的經費究竟它的成果展現在哪裡?民眾一般都感覺不出來 |
transcript.whisperx[1].start |
28.095 |
transcript.whisperx[1].end |
55.33 |
transcript.whisperx[1].text |
那第一個我先講的是說有那麼多的經費可是最基本最基本的一些同工同酬津貼的問題我先請財政部這邊回答一下我們看到國營的所有的公股銀行裡面發現很大的同工不同酬的情況 |
transcript.whisperx[2].start |
58.43 |
transcript.whisperx[2].end |
81.46 |
transcript.whisperx[2].text |
請問為什麼一樣是午餐費、伙食費有的是才750塊有的是3000塊那包括生育補助有的美胎補助才6000塊 |
transcript.whisperx[3].start |
83.848 |
transcript.whisperx[3].end |
86.41 |
transcript.whisperx[3].text |
中央政府前瞻基礎建設計畫第5期特別預算案 ( |
transcript.whisperx[4].start |
110.938 |
transcript.whisperx[4].end |
129.556 |
transcript.whisperx[4].text |
這個民間的就不比啦,我們比其他的,核庫第一、金控、華南等等他每個月都相對有提撥啊,來鼓勵員工來認股所以署長,你是不是要說明一下 |
transcript.whisperx[5].start |
131.311 |
transcript.whisperx[5].end |
150.895 |
transcript.whisperx[5].text |
我們在省那麼大的錢啊結果最基本最基本主席長你也應該了解一下這全部都是同工不同酬造成好的人才留不住為什麼伙食會一個月才750塊說明一下吧 |
transcript.whisperx[6].start |
155.673 |
transcript.whisperx[6].end |
174.187 |
transcript.whisperx[6].text |
跟委員報告因為台銀、土銀跟輸出銀行是百分之百的國營銀行那另外您剛剛提到合庫、兆豐它是民營的公股銀行所以兩大類的這銀行的那個本質是不太一樣 |
transcript.whisperx[7].start |
174.747 |
transcript.whisperx[7].end |
185.736 |
transcript.whisperx[7].text |
那因為國營事業它是屬於單一興奉制所以它的一些相關的那些剛剛說的那個餐飲那個 |
transcript.whisperx[8].start |
193.069 |
transcript.whisperx[8].end |
215.944 |
transcript.whisperx[8].text |
因為我們本來就沒有這樣特別編活實費所以它依照人事法規它就是沒辦法跟比照那個合庫或者交通這種銀行這個是存在相當不合理的問題而且換另外一個角度來看你們根本就是來欺負這些善良的員工嘛你們根本就在霸凌他們嘛 |
transcript.whisperx[9].start |
217.126 |
transcript.whisperx[9].end |
239.609 |
transcript.whisperx[9].text |
請問你,一個月的伙食差750塊,你現在吃個便當要多少錢?不好意思,因為他就是單一興奉,所以這伙食費700塊也不是說真的就是補助他的不是說要補足他的伙食費,那伙食費的部分其實就是都含在薪資裡面的 |
transcript.whisperx[10].start |
240.236 |
transcript.whisperx[10].end |
257.02 |
transcript.whisperx[10].text |
那這個部分的話,我們未來再跟人事、行政院人事、行政總署再溝通一下。你們好好檢討一下,你看今天這個都是4千多億,那些員工心裡是作何感想?臺營多少的員工?土營多少員工?加一加上萬人耶。 |
transcript.whisperx[11].start |
265.981 |
transcript.whisperx[11].end |
271.325 |
transcript.whisperx[11].text |
我們地方啊,到現在目前為止,還有多少地方沒有自來水可以喝?你知道嗎? |
transcript.whisperx[12].start |
294.163 |
transcript.whisperx[12].end |
319.98 |
transcript.whisperx[12].text |
本席來自新店深坑石碇坪林屋來跟委員報告全國的自來水普及率大概95%我們希望每年透過這個前瞻預算我們希望每年能夠增加那你這次有沒有增加?這次有沒有增加?有,我們希望這次的預算能夠也投入到一些屋自來水來,請賴署長好不好 |
transcript.whisperx[13].start |
323.198 |
transcript.whisperx[13].end |
342.327 |
transcript.whisperx[13].text |
跟委員說明,除了簽簽之外,行政院剛剛在這個禮拜就核定了自來水改善的5期的計畫,大概有106億元左右。好,那別的地方我不管,清電深坑、石碇、坪林、烏來,我們這一區你編入了多少,可以解決多少沒有自來水喝的問題? |
transcript.whisperx[14].start |
343.027 |
transcript.whisperx[14].end |
358.738 |
transcript.whisperx[14].text |
我們全期希望全國改善6萬戶但是因為他是一個評比機制那這一次跟過往的計畫不一樣是因為我們隨著我們改善的戶數越來越高本來每一戶的成本只要超過60萬就不可能核定但現在的話超過60萬到80萬裡面我們都可以來解決 |
transcript.whisperx[15].start |
363.021 |
transcript.whisperx[15].end |
380.389 |
transcript.whisperx[15].text |
用水是基本的民生問題啊你如果說比較偏遠的地區那你還有你的說法問題新店離台北101不到20分鐘你說離市區那麼近的地方沒有自來水可以喝這樣合理嗎? |
transcript.whisperx[16].start |
382.077 |
transcript.whisperx[16].end |
407.74 |
transcript.whisperx[16].text |
委員你知道有一些案子我們希望跟社區來溝通因為譬如說檀美里那個地方它需要五個加二站那中間的加二站社區都同意了最下面的社區不同意這個我們需要跟市政府一起來努力當然委員也一直知道我們很多多多來努力你做不到的地方你趕快跟我們說你唯一要做的就是趕快出錢 |
transcript.whisperx[17].start |
409.096 |
transcript.whisperx[17].end |
430.785 |
transcript.whisperx[17].text |
其他地方的溝通事項,我們來努力。前瞻前瞻,希望這些很辛苦可憐的人可以真的被瞻到,而不是遙望不可及的美夢。讓美夢成真,行不行?今年要做了。 |
transcript.whisperx[18].start |
434.767 |
transcript.whisperx[18].end |
435.127 |
transcript.whisperx[18].text |
請正正前委員 |
IVOD_ID |
157239 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157239 |
日期 |
2024-11-20 |
會議資料.會議代碼 |
聯席會議-11-2-20,15,19,22,23,26-1 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
1 |
會議資料.種類 |
聯席會議 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼[1] |
15 |
會議資料.委員會代碼[2] |
19 |
會議資料.委員會代碼[3] |
22 |
會議資料.委員會代碼[4] |
23 |
會議資料.委員會代碼[5] |
26 |
會議資料.標題 |
第11屆第2會期財政、內政、經濟、教育及文化、交通、社會福利及衛生環境委員會第1次聯席會議 |
影片種類 |
Clip |
開始時間 |
2024-11-20T16:01:49+08:00 |
結束時間 |
2024-11-20T16:09:36+08:00 |
支援功能[0] |
ai-transcript |