IVOD_ID |
158877 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158877 |
日期 |
2025-01-15 |
會議資料.會議代碼 |
聯席會議-11-2-19,20-1 |
會議資料.會議代碼:str |
第11屆第2會期經濟、財政兩委員會第1次聯席會議 |
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] |
19 |
會議資料.委員會代碼[1] |
20 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.委員會代碼:str[1] |
財政委員會 |
會議資料.標題 |
第11屆第2會期經濟、財政兩委員會第1次聯席會議 |
影片種類 |
Clip |
開始時間 |
2025-01-15T09:57:17+08:00 |
結束時間 |
2025-01-15T10:05:58+08:00 |
影片長度 |
00:08:41 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/427ddbb1724b1d1af1d740fcda6047e25a45ebd5c2e753184204766f4a2623bd5e42fc9f2fe0e8b55ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
張啓楷 |
委員發言時間 |
09:57:17 - 10:05:58 |
會議時間 |
2025-01-15T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期經濟、財政兩委員會第1次聯席會議(事由:審查:
一、行政院函請審議「產業創新條例部分條文修正草案」案。
二、本院委員葛如鈞等16人擬具「產業創新條例第十條之一及第十七條之一條文修正草案」案。
三、本院委員林岱樺等18人擬具「產業創新條例第十條之一及第十七條之一條文修正草案」案。
四、本院委員楊瓊瓔等29人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。
五、本院委員何欣純等23人擬具「產業創新條例第十條之一條文修正草案」案。
六、本院委員邱議瑩等16人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。
七、本院委員蔡其昌等18人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。
八、本院台灣民眾黨黨團擬具「產業創新條例第十條之一條文修正草案」案。
九、本院委員謝衣鳯等16人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。
十、本院委員邱志偉等20人擬具「產業創新條例部分條文修正草案」案。
十一、本院委員鄭正鈐等19人擬具「產業創新條例第十條之一條文修正草案」案。
(第一案及第十一案如未接獲議事處來函,則不予審查)
【1月15日及16日兩天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
18.07034375 |
transcript.pyannote[0].end |
19.09971875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
20.07846875 |
transcript.pyannote[1].end |
21.00659375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
28.06034375 |
transcript.pyannote[2].end |
28.58346875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
29.14034375 |
transcript.pyannote[3].end |
30.70971875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
30.70971875 |
transcript.pyannote[4].end |
30.99659375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
31.19909375 |
transcript.pyannote[5].end |
34.65846875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
34.89471875 |
transcript.pyannote[6].end |
37.42596875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
34.96221875 |
transcript.pyannote[7].end |
37.07159375 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
38.08409375 |
transcript.pyannote[8].end |
38.84346875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
38.96159375 |
transcript.pyannote[9].end |
39.11346875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
39.11346875 |
transcript.pyannote[10].end |
39.33284375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
39.33284375 |
transcript.pyannote[11].end |
39.65346875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
39.65346875 |
transcript.pyannote[12].end |
39.75471875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
39.75471875 |
transcript.pyannote[13].end |
39.77159375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
39.77159375 |
transcript.pyannote[14].end |
39.85596875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
39.85596875 |
transcript.pyannote[15].end |
42.03284375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
42.03284375 |
transcript.pyannote[16].end |
42.64034375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
43.18034375 |
transcript.pyannote[17].end |
52.02284375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
48.78284375 |
transcript.pyannote[18].end |
52.07346875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
52.71471875 |
transcript.pyannote[19].end |
52.74846875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
52.74846875 |
transcript.pyannote[20].end |
58.70534375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
54.21659375 |
transcript.pyannote[21].end |
54.92534375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
59.70096875 |
transcript.pyannote[22].end |
60.00471875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
60.44346875 |
transcript.pyannote[23].end |
63.14346875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
63.34596875 |
transcript.pyannote[24].end |
63.75096875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
64.25721875 |
transcript.pyannote[25].end |
67.12596875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
68.29034375 |
transcript.pyannote[26].end |
69.18471875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
69.67409375 |
transcript.pyannote[27].end |
71.46284375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
71.96909375 |
transcript.pyannote[28].end |
73.28534375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
73.67346875 |
transcript.pyannote[29].end |
73.97721875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
73.97721875 |
transcript.pyannote[30].end |
75.74909375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
76.10346875 |
transcript.pyannote[31].end |
77.50409375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
78.36471875 |
transcript.pyannote[32].end |
79.81596875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
81.46971875 |
transcript.pyannote[33].end |
82.09409375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
82.85346875 |
transcript.pyannote[34].end |
84.37221875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
85.16534375 |
transcript.pyannote[35].end |
86.32971875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
86.53221875 |
transcript.pyannote[36].end |
87.19034375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
87.89909375 |
transcript.pyannote[37].end |
88.43909375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
90.00846875 |
transcript.pyannote[38].end |
91.59471875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
91.76346875 |
transcript.pyannote[39].end |
93.13034375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
93.97409375 |
transcript.pyannote[40].end |
95.15534375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
95.52659375 |
transcript.pyannote[41].end |
97.04534375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
97.04534375 |
transcript.pyannote[42].end |
97.07909375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
99.50909375 |
transcript.pyannote[43].end |
100.47096875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
100.75784375 |
transcript.pyannote[44].end |
104.35221875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
103.23846875 |
transcript.pyannote[45].end |
104.89221875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
104.53784375 |
transcript.pyannote[46].end |
104.80784375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
104.89221875 |
transcript.pyannote[47].end |
104.97659375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
104.97659375 |
transcript.pyannote[48].end |
105.01034375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
105.01034375 |
transcript.pyannote[49].end |
111.20346875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
105.82034375 |
transcript.pyannote[50].end |
106.24221875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
111.27096875 |
transcript.pyannote[51].end |
111.96284375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
111.64221875 |
transcript.pyannote[52].end |
111.77721875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
111.96284375 |
transcript.pyannote[53].end |
115.05096875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
115.65846875 |
transcript.pyannote[54].end |
117.90284375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
118.57784375 |
transcript.pyannote[55].end |
120.61971875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
121.12596875 |
transcript.pyannote[56].end |
123.11721875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
123.79221875 |
transcript.pyannote[57].end |
126.30659375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
126.93096875 |
transcript.pyannote[58].end |
127.53846875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
128.26409375 |
transcript.pyannote[59].end |
129.36096875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
129.51284375 |
transcript.pyannote[60].end |
129.91784375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
130.81221875 |
transcript.pyannote[61].end |
131.82471875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
132.95534375 |
transcript.pyannote[62].end |
133.96784375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
135.25034375 |
transcript.pyannote[63].end |
137.39346875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
137.86596875 |
transcript.pyannote[64].end |
138.87846875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
139.11471875 |
transcript.pyannote[65].end |
140.95409375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
141.78096875 |
transcript.pyannote[66].end |
144.22784375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
144.97034375 |
transcript.pyannote[67].end |
149.40846875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
150.35346875 |
transcript.pyannote[68].end |
151.80471875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
152.54721875 |
transcript.pyannote[69].end |
153.54284375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
153.61034375 |
transcript.pyannote[70].end |
154.82534375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
156.71534375 |
transcript.pyannote[71].end |
157.32284375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
157.82909375 |
transcript.pyannote[72].end |
159.70221875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
160.41096875 |
transcript.pyannote[73].end |
161.10284375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
161.92971875 |
transcript.pyannote[74].end |
163.63409375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
164.17409375 |
transcript.pyannote[75].end |
165.72659375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
166.09784375 |
transcript.pyannote[76].end |
167.38034375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
168.24096875 |
transcript.pyannote[77].end |
169.42221875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
169.55721875 |
transcript.pyannote[78].end |
170.19846875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
170.95784375 |
transcript.pyannote[79].end |
172.62846875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
174.36659375 |
transcript.pyannote[80].end |
177.03284375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
177.16784375 |
transcript.pyannote[81].end |
177.23534375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
177.53909375 |
transcript.pyannote[82].end |
182.06159375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
178.02846875 |
transcript.pyannote[83].end |
179.09159375 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
182.41596875 |
transcript.pyannote[84].end |
183.68159375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
184.76159375 |
transcript.pyannote[85].end |
185.03159375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
185.03159375 |
transcript.pyannote[86].end |
185.55471875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
186.33096875 |
transcript.pyannote[87].end |
188.01846875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
188.18721875 |
transcript.pyannote[88].end |
190.80284375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
190.83659375 |
transcript.pyannote[89].end |
195.59534375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
191.10659375 |
transcript.pyannote[90].end |
191.15721875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
192.96284375 |
transcript.pyannote[91].end |
192.97971875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
194.73471875 |
transcript.pyannote[92].end |
195.24096875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
195.59534375 |
transcript.pyannote[93].end |
195.73034375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
195.73034375 |
transcript.pyannote[94].end |
195.96659375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
195.96659375 |
transcript.pyannote[95].end |
197.11409375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
197.92409375 |
transcript.pyannote[96].end |
203.71221875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
204.20159375 |
transcript.pyannote[97].end |
206.47971875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
206.71596875 |
transcript.pyannote[98].end |
210.02346875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
210.10784375 |
transcript.pyannote[99].end |
212.50409375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
212.87534375 |
transcript.pyannote[100].end |
213.95534375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
213.95534375 |
transcript.pyannote[101].end |
213.97221875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
215.10284375 |
transcript.pyannote[102].end |
215.11971875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
215.11971875 |
transcript.pyannote[103].end |
216.08159375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
217.06034375 |
transcript.pyannote[104].end |
217.78596875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
218.24159375 |
transcript.pyannote[105].end |
220.28346875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
220.33409375 |
transcript.pyannote[106].end |
225.44721875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
225.51471875 |
transcript.pyannote[107].end |
226.47659375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
225.64971875 |
transcript.pyannote[108].end |
226.52721875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
226.52721875 |
transcript.pyannote[109].end |
226.96596875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
226.96596875 |
transcript.pyannote[110].end |
227.53971875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
227.86034375 |
transcript.pyannote[111].end |
227.89409375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
227.89409375 |
transcript.pyannote[112].end |
228.60284375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
228.99096875 |
transcript.pyannote[113].end |
230.40846875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
231.35346875 |
transcript.pyannote[114].end |
235.23471875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
235.48784375 |
transcript.pyannote[115].end |
235.82534375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
236.31471875 |
transcript.pyannote[116].end |
236.90534375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
237.07409375 |
transcript.pyannote[117].end |
237.78284375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
238.45784375 |
transcript.pyannote[118].end |
241.19159375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
241.84971875 |
transcript.pyannote[119].end |
242.82846875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
243.45284375 |
transcript.pyannote[120].end |
245.46096875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
246.18659375 |
transcript.pyannote[121].end |
246.72659375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
246.72659375 |
transcript.pyannote[122].end |
247.33409375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
247.16534375 |
transcript.pyannote[123].end |
251.02971875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
249.17346875 |
transcript.pyannote[124].end |
249.52784375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
251.24909375 |
transcript.pyannote[125].end |
254.52284375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
255.11346875 |
transcript.pyannote[126].end |
257.18909375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
257.93159375 |
transcript.pyannote[127].end |
259.68659375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
260.02409375 |
transcript.pyannote[128].end |
262.45409375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
262.45409375 |
transcript.pyannote[129].end |
263.33159375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
262.94346875 |
transcript.pyannote[130].end |
263.21346875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
263.83784375 |
transcript.pyannote[131].end |
264.31034375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
264.61409375 |
transcript.pyannote[132].end |
265.71096875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
266.77409375 |
transcript.pyannote[133].end |
270.82409375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
271.24596875 |
transcript.pyannote[134].end |
271.90409375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
272.32596875 |
transcript.pyannote[135].end |
273.82784375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
274.95846875 |
transcript.pyannote[136].end |
278.56971875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
279.24471875 |
transcript.pyannote[137].end |
279.63284375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
279.63284375 |
transcript.pyannote[138].end |
280.18971875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
281.20221875 |
transcript.pyannote[139].end |
284.03721875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
284.64471875 |
transcript.pyannote[140].end |
286.58534375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
286.34909375 |
transcript.pyannote[141].end |
286.43346875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
286.48409375 |
transcript.pyannote[142].end |
288.69471875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
286.66971875 |
transcript.pyannote[143].end |
288.10409375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
288.76221875 |
transcript.pyannote[144].end |
292.27221875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
290.77034375 |
transcript.pyannote[145].end |
300.96284375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
301.30034375 |
transcript.pyannote[146].end |
301.80659375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
302.07659375 |
transcript.pyannote[147].end |
303.61221875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
303.81471875 |
transcript.pyannote[148].end |
304.91159375 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
305.36721875 |
transcript.pyannote[149].end |
306.43034375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
307.78034375 |
transcript.pyannote[150].end |
309.06284375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
309.23159375 |
transcript.pyannote[151].end |
313.51784375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
313.97346875 |
transcript.pyannote[152].end |
315.55971875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
315.62721875 |
transcript.pyannote[153].end |
316.63971875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
317.24721875 |
transcript.pyannote[154].end |
320.77409375 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
321.12846875 |
transcript.pyannote[155].end |
321.46596875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
321.90471875 |
transcript.pyannote[156].end |
323.37284375 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
325.11096875 |
transcript.pyannote[157].end |
330.20721875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
329.65034375 |
transcript.pyannote[158].end |
330.84846875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
331.79346875 |
transcript.pyannote[159].end |
333.00846875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
333.29534375 |
transcript.pyannote[160].end |
334.78034375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
335.33721875 |
transcript.pyannote[161].end |
335.77596875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
336.53534375 |
transcript.pyannote[162].end |
338.17221875 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
338.37471875 |
transcript.pyannote[163].end |
339.62346875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
340.02846875 |
transcript.pyannote[164].end |
340.66971875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
340.85534375 |
transcript.pyannote[165].end |
343.20096875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
343.87596875 |
transcript.pyannote[166].end |
345.69846875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
345.98534375 |
transcript.pyannote[167].end |
347.55471875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
348.26346875 |
transcript.pyannote[168].end |
348.82034375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
349.29284375 |
transcript.pyannote[169].end |
353.52846875 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
354.11909375 |
transcript.pyannote[170].end |
354.55784375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
354.94596875 |
transcript.pyannote[171].end |
357.47721875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
358.52346875 |
transcript.pyannote[172].end |
359.18159375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
359.97471875 |
transcript.pyannote[173].end |
360.56534375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
362.43846875 |
transcript.pyannote[174].end |
364.78409375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
365.22284375 |
transcript.pyannote[175].end |
367.18034375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
368.32784375 |
transcript.pyannote[176].end |
374.23409375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
374.58846875 |
transcript.pyannote[177].end |
376.39409375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
376.52909375 |
transcript.pyannote[178].end |
377.69346875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
377.71034375 |
transcript.pyannote[179].end |
378.08159375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
378.63846875 |
transcript.pyannote[180].end |
379.26284375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
379.58346875 |
transcript.pyannote[181].end |
382.53659375 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
382.72221875 |
transcript.pyannote[182].end |
384.15659375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
384.42659375 |
transcript.pyannote[183].end |
387.12659375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
388.52721875 |
transcript.pyannote[184].end |
392.47596875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
393.25221875 |
transcript.pyannote[185].end |
396.07034375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
396.50909375 |
transcript.pyannote[186].end |
399.56346875 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
400.50846875 |
transcript.pyannote[187].end |
401.50409375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
402.01034375 |
transcript.pyannote[188].end |
404.17034375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
404.59221875 |
transcript.pyannote[189].end |
405.40221875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
406.02659375 |
transcript.pyannote[190].end |
406.39784375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
406.70159375 |
transcript.pyannote[191].end |
411.30846875 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
411.64596875 |
transcript.pyannote[192].end |
412.75971875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
413.14784375 |
transcript.pyannote[193].end |
415.86471875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
415.96596875 |
transcript.pyannote[194].end |
417.87284375 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
418.56471875 |
transcript.pyannote[195].end |
421.65284375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
422.00721875 |
transcript.pyannote[196].end |
423.93096875 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
423.94784375 |
transcript.pyannote[197].end |
424.72409375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
424.85909375 |
transcript.pyannote[198].end |
427.91346875 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
428.16659375 |
transcript.pyannote[199].end |
431.55846875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
431.94659375 |
transcript.pyannote[200].end |
433.97159375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
434.68034375 |
transcript.pyannote[201].end |
441.05909375 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
441.70034375 |
transcript.pyannote[202].end |
444.40034375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
444.65346875 |
transcript.pyannote[203].end |
445.71659375 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
446.12159375 |
transcript.pyannote[204].end |
449.83409375 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
450.20534375 |
transcript.pyannote[205].end |
451.57221875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
452.04471875 |
transcript.pyannote[206].end |
454.05284375 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
454.54221875 |
transcript.pyannote[207].end |
454.94721875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
455.41971875 |
transcript.pyannote[208].end |
457.79909375 |
transcript.pyannote[209].speaker |
SPEAKER_01 |
transcript.pyannote[209].start |
458.06909375 |
transcript.pyannote[209].end |
484.20846875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
466.84409375 |
transcript.pyannote[210].end |
466.86096875 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
473.99909375 |
transcript.pyannote[211].end |
477.10409375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
477.27284375 |
transcript.pyannote[212].end |
478.15034375 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
480.29346875 |
transcript.pyannote[213].end |
481.17096875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
482.90909375 |
transcript.pyannote[214].end |
483.80346875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
484.44471875 |
transcript.pyannote[215].end |
485.67659375 |
transcript.pyannote[216].speaker |
SPEAKER_01 |
transcript.pyannote[216].start |
486.18284375 |
transcript.pyannote[216].end |
491.86971875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
492.12284375 |
transcript.pyannote[217].end |
498.70409375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
492.67971875 |
transcript.pyannote[218].end |
493.50659375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
494.92409375 |
transcript.pyannote[219].end |
494.95784375 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
498.88971875 |
transcript.pyannote[220].end |
511.74846875 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
499.21034375 |
transcript.pyannote[221].end |
500.94846875 |
transcript.pyannote[222].speaker |
SPEAKER_00 |
transcript.pyannote[222].start |
501.52221875 |
transcript.pyannote[222].end |
502.38284375 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
503.39534375 |
transcript.pyannote[223].end |
504.15471875 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
504.44159375 |
transcript.pyannote[224].end |
504.91409375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
505.50471875 |
transcript.pyannote[225].end |
506.06159375 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
506.44971875 |
transcript.pyannote[226].end |
506.82096875 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
507.47909375 |
transcript.pyannote[227].end |
507.81659375 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
511.05659375 |
transcript.pyannote[228].end |
511.66409375 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
511.93409375 |
transcript.pyannote[229].end |
521.97471875 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
512.20409375 |
transcript.pyannote[230].end |
514.97159375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
516.57471875 |
transcript.pyannote[231].end |
517.24971875 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
517.85721875 |
transcript.pyannote[232].end |
519.35909375 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
519.89909375 |
transcript.pyannote[233].end |
520.86096875 |
transcript.whisperx[0].start |
20.327 |
transcript.whisperx[0].end |
35.293 |
transcript.whisperx[0].text |
請聯視長請金吾聯視長委員好市長 要過年了喔 給大家好好過年一下最近傳那個水電都要漲 這個你們有明確講不會嗎 |
transcript.whisperx[1].start |
38.086 |
transcript.whisperx[1].end |
66.969 |
transcript.whisperx[1].text |
有確定喔有確定過年不會去啦過年也不能隨便去喔那個一定要經過一個審慎的一個評估完之後經過一個審議委員會去通訪去檢討過年已經不會去過年也不能隨便去好不好要讓大家好過年那是說只要尤其是電啦只要電一漲那個萬物起漲過去三年已經漲了五次了人民真的太苦了好不好想辦法不要想辦法不要漲所以今天啊 |
transcript.whisperx[2].start |
68.322 |
transcript.whisperx[2].end |
96.39 |
transcript.whisperx[2].text |
你要退休了我們這位來想我們一起來找不要漲電價的方法好這位來催這位來催我幫你找到一個很重要的蔡英文啦蔡英文總統他有提到電價在十年內不會大漲他講了三個理由來看看他講啊地雷只要落實節能就是省電啦使用效率增加了就不需要多繳電費啊 |
transcript.whisperx[3].start |
99.737 |
transcript.whisperx[3].end |
117.635 |
transcript.whisperx[3].text |
這個你們做了嗎這個落實我們現在推深度節能已經深度節能齁省多少電等一下給我一個報告我們今年從北匯到現在這樣齁我們省了差不多將近11億好 次長你退休錢給我你們省了多少電齁等一下他說啦你2000階段啦價格雖然是高但是說 |
transcript.whisperx[4].start |
118.618 |
transcript.whisperx[4].end |
135.508 |
transcript.whisperx[4].text |
它是2016年說的 但是它說兩個重點它說只要科技是會進步的規模擴大以後 成本自然就下降了奇怪喔 科技真的有進步啊 對不對你們買綠電 規模會擴大啦可是價格沒有漲 來我給你看一下來我統計啊 為民國100年 110年到115年 來給你看一下 |
transcript.whisperx[5].start |
145.014 |
transcript.whisperx[5].end |
148.955 |
transcript.whisperx[5].text |
再生能源這個過電的這個價格110年90.79那時候平均單價是多少4.69到113你看看你那時候價格從4.6反而跳到5.46你買這個綠電的這個錢從426億到113年跳到1311億跟蔡英文講的完全不一樣 |
transcript.whisperx[6].start |
174.854 |
transcript.whisperx[6].end |
196.949 |
transcript.whisperx[6].text |
市長 地雷科技有進步嘛 對不對 地雷量確實有像蔡英文講的 你們買的量是有增加嘛 對不對可是價格一直在漲啊 這出什麼事情因為這個後來是 因為那個前面是光電 後面是離岸風電啦所以兩個是不太一樣的所以地雷 人民看到就是避岸嘛 |
transcript.whisperx[7].start |
198.084 |
transcript.whisperx[7].end |
219.746 |
transcript.whisperx[7].text |
第二個就是你們整個設計上為什麼會越來越高沒有達到他做的嘛第三個他要講一個理由他說未來會修改電力法讓廠跟網提高並且提高台電的經營績效讓電價更為合理這個你們沒有做吧沒有做對不對因為現在我們有提一個 |
transcript.whisperx[8].start |
220.458 |
transcript.whisperx[8].end |
245.327 |
transcript.whisperx[8].text |
那個電力法要來修正 因為整個經濟情況改變 還有能源結構改變喔如果你看 蔡英文以前說電不會大漲啊 對不對你們就是三點 看起來第一點可能做了一部分 可是做的也不夠啦你想 去年水電費 中央政府就開80億 今年變成100億啊你哪有省電 對不對 所以看起來三個都跳票喔 |
transcript.whisperx[9].start |
246.343 |
transcript.whisperx[9].end |
272.546 |
transcript.whisperx[9].text |
所以你要去想辦法去把這三個第三個可能你們已經做不到的你們又要修法又要倒貼路啊可是你要去想一想當初為什麼當總統的會提出這樣一個讓電不要漲可以參考嘛好不好好來我們再繼續來想辦法我相信經濟部跟台電一定做了很多改善的報告對不對我問你一下從2016年到現在 |
transcript.whisperx[10].start |
275.25 |
transcript.whisperx[10].end |
278.039 |
transcript.whisperx[10].text |
台電有幾年它的稅務盈虧啊是呈現虧損的一百 |
transcript.whisperx[11].start |
282.198 |
transcript.whisperx[11].end |
305.893 |
transcript.whisperx[11].text |
216年開始 幾乎每年都虧損對不對剛開始2016可能要好一點點 後來動越來越大發委員其實在二五戰爭之前台電還是有盈餘的所以五二戰爭之前是有盈餘的嘛那後來我們也三度撥補 讓你漲的電價該漲的啊到今天還在虧 其實不是五二戰爭啦就是基本上 我相信台灣人民所有人都知道第一就是你從最廉價 |
transcript.whisperx[12].start |
307.796 |
transcript.whisperx[12].end |
335.419 |
transcript.whisperx[12].text |
你核能不用嘛第二你去買綠電的時候買的太貴跟一幣案嘛現在的事這個等下大漏洞把它補起來你就會賺錢了啦好來 第一個進一步問台電為2016年開始寫過幾次改善公司體質還有營運績效的有關報告這個大院這邊都有要求啦這個可能要回去查幾次這邊可能有一百塊有了嘛第三點其實很重要你寫了一百次以上的報告 |
transcript.whisperx[13].start |
336.567 |
transcript.whisperx[13].end |
356.598 |
transcript.whisperx[13].text |
你主要的改善項目是哪些?有哪些是重複的?看旁邊有哪些是有改善的?有具體成效其實你只要從裡面去你以前提出來的計畫真的有改善有績效你就不會了解啊你怎麼從敗家子變成金雞母變敗家子又上不來對不對好所以今天我明確的要求請台電請台電 |
transcript.whisperx[14].start |
362.486 |
transcript.whisperx[14].end |
387.023 |
transcript.whisperx[14].text |
提出一個全面性具體的改革計畫書,其實沒困難的,我剛才說那幾點啦你從106年到現在,最重要的一百次,去把以前真正你覺得你要做沒有做的,或者是你做的有績效的,把它整理出來,好不好?你當初世界金融風暴的時候,那時候美國聯準會說過一句話,他們說像花旗一樣,大大不能倒的公司,台電也是一樣,大大不能倒的 |
transcript.whisperx[15].start |
388.561 |
transcript.whisperx[15].end |
405.29 |
transcript.whisperx[15].text |
我們會給你 我們可以救你一次可是不能夠給你再犯的機會我們人民跟立法院已經給台電多少次的機會了至少撥補三次了嘛 三千億了啦你現在還要拿一千億不算啦 不算啦台灣民眾黨做了決定不會有這一千億了好 更重要的 |
transcript.whisperx[16].start |
406.112 |
transcript.whisperx[16].end |
433.779 |
transcript.whisperx[16].text |
所以不只要提出一個通盤檢討我們在談進一步談怎麼避免虧損再次出現現在發電輸電配電跟售電的這個四大部門請每個部門四大部門都把它列出來第一個當前的虧損情況是怎麼樣子那你要去追第二個虧損的原因第三個你未來預期虧損會在什麼地方第四個基於整個能源開始在轉型你有開始做一些重大建設嘛你的影響是什麼這四個另外 |
transcript.whisperx[17].start |
434.739 |
transcript.whisperx[17].end |
454.706 |
transcript.whisperx[17].text |
在這個四大部門裡面要分別針對目前的虧損原因跟未來可能虧損要擬定一個對策出來拿一個具體改善的這個里程碑包括什麼台電你本身的本身還有供給面啊需求面跟市場面四個面向要做一個檢討另外最好相關的報告跟做法請三個月內好不好 |
transcript.whisperx[18].start |
456.302 |
transcript.whisperx[18].end |
482.979 |
transcript.whisperx[18].text |
送到立法院來老蔣要趕快去做啦我剛才為蔡英文一開始蔡英文提的這三個點你們作為一個參考第二個我今天提的都是非常具體的從整個通盤的檢討到整個避免虧損的好不好請要做而且每集要做成檢討做成一個具體的成效我們分起來分起來達成這個目標好不好好 謝謝委員往前 議員 市長恭喜你要退休了你之前建立那個歷練平台大家是抱歉你有歷史上的定位有貢獻我們都是說 |
transcript.whisperx[19].start |
484.56 |
transcript.whisperx[19].end |
509.976 |
transcript.whisperx[19].text |
台電這幾年 從一個金雞母 不英帥的模範生被每年都要去撥補 要漲價 人已經是名念非常深的希望你最後還有機會 人在公民老休閒多幫他們台電的員工們 我知道台電那邊都是辛苦的 水準也是高的好不好 我們會給你掌聲跟支持可是我剛剛講的 我剛剛提的都是非常具體的好不好好 謝謝我們這兩部分 包括不要再虧損 還有整個計畫 |
transcript.whisperx[20].start |
512.238 |
transcript.whisperx[20].end |
520.033 |
transcript.whisperx[20].text |
三個月內要給我好不好那這位農爺希望又回到以後的模範生殖經濟模不要再一直只有撥補跟浪費這個一直在上電廠謝謝 |