| IVOD_ID |
166897 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/166897 |
| 日期 |
2026-01-07 |
| 會議資料.會議代碼 |
委員會-11-4-20-17 |
| 會議資料.會議代碼:str |
第11屆第4會期財政委員會第17次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
17 |
| 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4會期財政委員會第17次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-01-07T10:56:11+08:00 |
| 結束時間 |
2026-01-07T11:08:01+08:00 |
| 影片長度 |
00:11:50 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8a4de0f3676b468ff1a5667d2a9bbfdb5d44f5a94e3adf355aa3b5816bd951efa3fa2fd90ac653ea5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
林思銘 |
| 委員發言時間 |
10:56:11 - 11:08:01 |
| 會議時間 |
2026-01-07T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期財政委員會第17次全體委員會議（事由：邀請金融監督管理委員會主任委員彭金隆、財政部部長莊翠雲、國家發展委員會副主任委員就「如何引導國內資金擴大參與公共建設及策略性產業」進行專題報告，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
2.93346875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
7.62471875 |
| transcript.pyannote[1].end |
11.96159375 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
9.46409375 |
| transcript.pyannote[2].end |
9.68346875 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
12.46784375 |
| transcript.pyannote[3].end |
13.63221875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
21.78284375 |
| transcript.pyannote[4].end |
22.32284375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
22.32284375 |
| transcript.pyannote[5].end |
29.47784375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
23.55471875 |
| transcript.pyannote[6].end |
24.01034375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
29.71409375 |
| transcript.pyannote[7].end |
30.08534375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
29.95034375 |
| transcript.pyannote[8].end |
34.25346875 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
34.82721875 |
| transcript.pyannote[9].end |
37.81409375 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
38.37096875 |
| transcript.pyannote[10].end |
47.04471875 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
47.65221875 |
| transcript.pyannote[11].end |
50.87534375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
51.36471875 |
| transcript.pyannote[12].end |
55.04346875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
55.48221875 |
| transcript.pyannote[13].end |
58.28346875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
58.94159375 |
| transcript.pyannote[14].end |
59.70096875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
59.09346875 |
| transcript.pyannote[15].end |
59.95409375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
60.10596875 |
| transcript.pyannote[16].end |
60.57846875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
60.78096875 |
| transcript.pyannote[17].end |
76.99784375 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
60.98346875 |
| transcript.pyannote[18].end |
61.23659375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
69.96096875 |
| transcript.pyannote[19].end |
70.82159375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
77.14971875 |
| transcript.pyannote[20].end |
128.98971875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
78.56721875 |
| transcript.pyannote[21].end |
78.88784375 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
89.26596875 |
| transcript.pyannote[22].end |
90.21096875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
109.11096875 |
| transcript.pyannote[23].end |
109.66784375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
110.41034375 |
| transcript.pyannote[24].end |
110.46096875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
126.98159375 |
| transcript.pyannote[25].end |
127.57221875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
129.36096875 |
| transcript.pyannote[26].end |
137.96721875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
135.04784375 |
| transcript.pyannote[27].end |
147.85596875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
140.88659375 |
| transcript.pyannote[28].end |
141.24096875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
148.36221875 |
| transcript.pyannote[29].end |
152.20971875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
151.80471875 |
| transcript.pyannote[30].end |
152.14221875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
152.83409375 |
| transcript.pyannote[31].end |
157.06971875 |
| transcript.pyannote[32].speaker |
SPEAKER_01 |
| transcript.pyannote[32].start |
157.33971875 |
| transcript.pyannote[32].end |
161.13659375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
161.32221875 |
| transcript.pyannote[33].end |
163.87034375 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
164.42721875 |
| transcript.pyannote[34].end |
165.99659375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
166.04721875 |
| transcript.pyannote[35].end |
168.49409375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
169.00034375 |
| transcript.pyannote[36].end |
173.94471875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
174.43409375 |
| transcript.pyannote[37].end |
177.97784375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
178.48409375 |
| transcript.pyannote[38].end |
224.38409375 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
182.43284375 |
| transcript.pyannote[39].end |
182.73659375 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
189.72284375 |
| transcript.pyannote[40].end |
190.31346875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
196.94534375 |
| transcript.pyannote[41].end |
197.43471875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
213.07784375 |
| transcript.pyannote[42].end |
213.31409375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
213.97221875 |
| transcript.pyannote[43].end |
214.29284375 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
222.35909375 |
| transcript.pyannote[44].end |
226.51034375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
225.00846875 |
| transcript.pyannote[45].end |
228.60284375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
227.62409375 |
| transcript.pyannote[46].end |
239.26784375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
229.49721875 |
| transcript.pyannote[47].end |
230.74596875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
231.77534375 |
| transcript.pyannote[48].end |
232.60221875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
239.43659375 |
| transcript.pyannote[49].end |
239.87534375 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
240.34784375 |
| transcript.pyannote[50].end |
243.11534375 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
243.50346875 |
| transcript.pyannote[51].end |
256.56471875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
249.52784375 |
| transcript.pyannote[52].end |
249.86534375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
257.05409375 |
| transcript.pyannote[53].end |
279.61596875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
268.68096875 |
| transcript.pyannote[54].end |
269.15346875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
279.27846875 |
| transcript.pyannote[55].end |
294.12846875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
279.93659375 |
| transcript.pyannote[56].end |
281.72534375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
285.96096875 |
| transcript.pyannote[57].end |
286.19721875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
294.95534375 |
| transcript.pyannote[58].end |
295.81596875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
295.03971875 |
| transcript.pyannote[59].end |
295.05659375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
295.81596875 |
| transcript.pyannote[60].end |
296.45721875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
295.83284375 |
| transcript.pyannote[61].end |
296.08596875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
296.45721875 |
| transcript.pyannote[62].end |
296.55846875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
296.55846875 |
| transcript.pyannote[63].end |
308.37096875 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
296.57534375 |
| transcript.pyannote[64].end |
299.17409375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
306.78471875 |
| transcript.pyannote[65].end |
309.48471875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
309.60284375 |
| transcript.pyannote[66].end |
313.61909375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
312.18471875 |
| transcript.pyannote[67].end |
317.60159375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
314.15909375 |
| transcript.pyannote[68].end |
315.00284375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
316.06596875 |
| transcript.pyannote[69].end |
320.87534375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
317.63534375 |
| transcript.pyannote[70].end |
334.96596875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
321.66846875 |
| transcript.pyannote[71].end |
322.39409375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
335.25284375 |
| transcript.pyannote[72].end |
338.39159375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
338.57721875 |
| transcript.pyannote[73].end |
345.66471875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
346.47471875 |
| transcript.pyannote[74].end |
347.84159375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
348.43221875 |
| transcript.pyannote[75].end |
350.15346875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
348.82034375 |
| transcript.pyannote[76].end |
349.47846875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
350.45721875 |
| transcript.pyannote[77].end |
358.62471875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
359.38409375 |
| transcript.pyannote[78].end |
368.51346875 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
368.51346875 |
| transcript.pyannote[79].end |
368.96909375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
368.83409375 |
| transcript.pyannote[80].end |
373.79534375 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
371.39909375 |
| transcript.pyannote[81].end |
371.63534375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
372.44534375 |
| transcript.pyannote[82].end |
405.85784375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
385.75971875 |
| transcript.pyannote[83].end |
386.21534375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
386.55284375 |
| transcript.pyannote[84].end |
387.44721875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
404.67659375 |
| transcript.pyannote[85].end |
404.82846875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
405.85784375 |
| transcript.pyannote[86].end |
407.12346875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
405.89159375 |
| transcript.pyannote[87].end |
405.90846875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
406.33034375 |
| transcript.pyannote[88].end |
412.40534375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
409.24971875 |
| transcript.pyannote[89].end |
409.77284375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
410.24534375 |
| transcript.pyannote[90].end |
411.05534375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
412.67534375 |
| transcript.pyannote[91].end |
419.77971875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
414.95346875 |
| transcript.pyannote[92].end |
416.43846875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
417.33284375 |
| transcript.pyannote[93].end |
424.01534375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
420.53909375 |
| transcript.pyannote[94].end |
421.18034375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
421.65284375 |
| transcript.pyannote[95].end |
422.46284375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
424.01534375 |
| transcript.pyannote[96].end |
425.07846875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
425.23034375 |
| transcript.pyannote[97].end |
427.76159375 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
428.28471875 |
| transcript.pyannote[98].end |
429.04409375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
431.54159375 |
| transcript.pyannote[99].end |
441.21096875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
431.55846875 |
| transcript.pyannote[100].end |
431.96346875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
441.46409375 |
| transcript.pyannote[101].end |
442.72971875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
442.99971875 |
| transcript.pyannote[102].end |
446.79659375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
447.10034375 |
| transcript.pyannote[103].end |
449.05784375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
449.37846875 |
| transcript.pyannote[104].end |
453.79971875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
452.07846875 |
| transcript.pyannote[105].end |
452.24721875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
453.85034375 |
| transcript.pyannote[106].end |
457.41096875 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
457.90034375 |
| transcript.pyannote[107].end |
465.07221875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
465.61221875 |
| transcript.pyannote[108].end |
470.72534375 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
470.80971875 |
| transcript.pyannote[109].end |
473.84721875 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
473.05409375 |
| transcript.pyannote[110].end |
473.15534375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
474.28596875 |
| transcript.pyannote[111].end |
476.47971875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
476.78346875 |
| transcript.pyannote[112].end |
479.04471875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
479.28096875 |
| transcript.pyannote[113].end |
482.30159375 |
| transcript.pyannote[114].speaker |
SPEAKER_02 |
| transcript.pyannote[114].start |
481.66034375 |
| transcript.pyannote[114].end |
483.02721875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
482.77409375 |
| transcript.pyannote[115].end |
484.17471875 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
484.79909375 |
| transcript.pyannote[116].end |
489.25409375 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
489.67596875 |
| transcript.pyannote[117].end |
493.50659375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
493.75971875 |
| transcript.pyannote[118].end |
496.49346875 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
496.88159375 |
| transcript.pyannote[119].end |
497.23596875 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
497.38784375 |
| transcript.pyannote[120].end |
502.51784375 |
| transcript.pyannote[121].speaker |
SPEAKER_02 |
| transcript.pyannote[121].start |
502.70346875 |
| transcript.pyannote[121].end |
503.86784375 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
503.34471875 |
| transcript.pyannote[122].end |
506.77034375 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
505.48784375 |
| transcript.pyannote[123].end |
511.39409375 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
511.61346875 |
| transcript.pyannote[124].end |
526.44659375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
512.15346875 |
| transcript.pyannote[125].end |
512.44034375 |
| transcript.pyannote[126].speaker |
SPEAKER_02 |
| transcript.pyannote[126].start |
526.63221875 |
| transcript.pyannote[126].end |
539.79471875 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
532.57221875 |
| transcript.pyannote[127].end |
532.99409375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
533.95596875 |
| transcript.pyannote[128].end |
534.27659375 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
539.76096875 |
| transcript.pyannote[129].end |
548.51909375 |
| transcript.pyannote[130].speaker |
SPEAKER_02 |
| transcript.pyannote[130].start |
539.81159375 |
| transcript.pyannote[130].end |
539.82846875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
548.95784375 |
| transcript.pyannote[131].end |
552.90659375 |
| transcript.pyannote[132].speaker |
SPEAKER_02 |
| transcript.pyannote[132].start |
548.97471875 |
| transcript.pyannote[132].end |
549.73409375 |
| transcript.pyannote[133].speaker |
SPEAKER_02 |
| transcript.pyannote[133].start |
553.22721875 |
| transcript.pyannote[133].end |
556.80471875 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
555.43784375 |
| transcript.pyannote[134].end |
562.64346875 |
| transcript.pyannote[135].speaker |
SPEAKER_02 |
| transcript.pyannote[135].start |
561.64784375 |
| transcript.pyannote[135].end |
570.99659375 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
563.18346875 |
| transcript.pyannote[136].end |
563.60534375 |
| transcript.pyannote[137].speaker |
SPEAKER_02 |
| transcript.pyannote[137].start |
571.14846875 |
| transcript.pyannote[137].end |
578.60721875 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
575.11409375 |
| transcript.pyannote[138].end |
575.21534375 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
577.22346875 |
| transcript.pyannote[139].end |
578.40471875 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
578.60721875 |
| transcript.pyannote[140].end |
578.65784375 |
| transcript.pyannote[141].speaker |
SPEAKER_02 |
| transcript.pyannote[141].start |
578.65784375 |
| transcript.pyannote[141].end |
579.33284375 |
| transcript.pyannote[142].speaker |
SPEAKER_01 |
| transcript.pyannote[142].start |
578.87721875 |
| transcript.pyannote[142].end |
582.52221875 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
582.55596875 |
| transcript.pyannote[143].end |
588.83346875 |
| transcript.pyannote[144].speaker |
SPEAKER_02 |
| transcript.pyannote[144].start |
588.83346875 |
| transcript.pyannote[144].end |
602.58659375 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
602.09721875 |
| transcript.pyannote[145].end |
618.55034375 |
| transcript.pyannote[146].speaker |
SPEAKER_02 |
| transcript.pyannote[146].start |
604.52721875 |
| transcript.pyannote[146].end |
605.28659375 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
618.83721875 |
| transcript.pyannote[147].end |
624.69284375 |
| transcript.pyannote[148].speaker |
SPEAKER_02 |
| transcript.pyannote[148].start |
625.06409375 |
| transcript.pyannote[148].end |
633.83909375 |
| transcript.pyannote[149].speaker |
SPEAKER_02 |
| transcript.pyannote[149].start |
634.07534375 |
| transcript.pyannote[149].end |
639.96471875 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
640.40346875 |
| transcript.pyannote[150].end |
647.22096875 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
647.62596875 |
| transcript.pyannote[151].end |
660.85596875 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
661.17659375 |
| transcript.pyannote[152].end |
671.77409375 |
| transcript.pyannote[153].speaker |
SPEAKER_02 |
| transcript.pyannote[153].start |
671.77409375 |
| transcript.pyannote[153].end |
687.90659375 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
682.15221875 |
| transcript.pyannote[154].end |
689.17221875 |
| transcript.pyannote[155].speaker |
SPEAKER_01 |
| transcript.pyannote[155].start |
689.64471875 |
| transcript.pyannote[155].end |
694.97721875 |
| transcript.pyannote[156].speaker |
SPEAKER_02 |
| transcript.pyannote[156].start |
694.97721875 |
| transcript.pyannote[156].end |
695.07846875 |
| transcript.pyannote[157].speaker |
SPEAKER_01 |
| transcript.pyannote[157].start |
695.07846875 |
| transcript.pyannote[157].end |
695.97284375 |
| transcript.pyannote[158].speaker |
SPEAKER_02 |
| transcript.pyannote[158].start |
695.97284375 |
| transcript.pyannote[158].end |
696.02346875 |
| transcript.pyannote[159].speaker |
SPEAKER_01 |
| transcript.pyannote[159].start |
696.02346875 |
| transcript.pyannote[159].end |
696.05721875 |
| transcript.pyannote[160].speaker |
SPEAKER_02 |
| transcript.pyannote[160].start |
696.05721875 |
| transcript.pyannote[160].end |
697.60971875 |
| transcript.pyannote[161].speaker |
SPEAKER_01 |
| transcript.pyannote[161].start |
696.17534375 |
| transcript.pyannote[161].end |
696.95159375 |
| transcript.pyannote[162].speaker |
SPEAKER_02 |
| transcript.pyannote[162].start |
698.23409375 |
| transcript.pyannote[162].end |
699.51659375 |
| transcript.pyannote[163].speaker |
SPEAKER_01 |
| transcript.pyannote[163].start |
699.51659375 |
| transcript.pyannote[163].end |
699.65159375 |
| transcript.pyannote[164].speaker |
SPEAKER_02 |
| transcript.pyannote[164].start |
699.65159375 |
| transcript.pyannote[164].end |
708.88221875 |
| transcript.pyannote[165].speaker |
SPEAKER_01 |
| transcript.pyannote[165].start |
699.73596875 |
| transcript.pyannote[165].end |
700.14096875 |
| transcript.pyannote[166].speaker |
SPEAKER_01 |
| transcript.pyannote[166].start |
701.76096875 |
| transcript.pyannote[166].end |
702.09846875 |
| transcript.pyannote[167].speaker |
SPEAKER_01 |
| transcript.pyannote[167].start |
704.81534375 |
| transcript.pyannote[167].end |
707.70096875 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
707.70096875 |
| transcript.pyannote[168].end |
707.80221875 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
708.88221875 |
| transcript.pyannote[169].end |
708.89909375 |
| transcript.pyannote[170].speaker |
SPEAKER_02 |
| transcript.pyannote[170].start |
708.89909375 |
| transcript.pyannote[170].end |
708.96659375 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
708.96659375 |
| transcript.pyannote[171].end |
710.97471875 |
| transcript.whisperx[0].start |
0.049 |
| transcript.whisperx[0].end |
1.351 |
| transcript.whisperx[0].text |
謝謝主席我先請我們國發會高副主委請高副主委 |
| transcript.whisperx[1].start |
22.306 |
| transcript.whisperx[1].end |
46.665 |
| transcript.whisperx[1].text |
好 副主委早副主委 這個政府啟動了兆元投資國家發展方案這樣一個重大的政策號稱要引導民間資金投資國家建設以及策略性的產業有三大策略創新促進的機制 優化投融的融資條件增加相關的金融商品 |
| transcript.whisperx[2].start |
47.711 |
| transcript.whisperx[2].end |
76.542 |
| transcript.whisperx[2].text |
所以我首先要請教副主委你們的兆元投資方案現在推動已經一年多了三大策略到底帶來多少的實質投資有沒有統計有跟委員報告一下比如說我們的那個初餐的專案裡面大概今年簽約的大概會有3300億元然後呢我們那個永續債的相關的發行也到2000多億 |
| transcript.whisperx[3].start |
77.422 |
| transcript.whisperx[3].end |
101.4 |
| transcript.whisperx[3].text |
兩千九百多億然後呢其實我們還鬆綁了相關的一些法令的規範比如說是我們希望工建型PE跟VC他們可以那個我們降低他的RVC然後我們也請各主管機關主動函示公共建設屬於策略性產業的比如說AI算力中心啊節人等等他可以適用比較好的 |
| transcript.whisperx[4].start |
102.581 |
| transcript.whisperx[4].end |
128.414 |
| transcript.whisperx[4].text |
這些風險係數可是它引發多少投資那個我們就沒有在做估算然後我們國家融資考證機制有6成提高到8成也增加了很多的綠能的投資的案件等等的我想我們這個方案其實最重要的精神在於我們要創新新的機制因為走老的路到不了新的地方所以我們希望透過 |
| transcript.whisperx[5].start |
129.874 |
| transcript.whisperx[5].end |
149.811 |
| transcript.whisperx[5].text |
機制的創新法規的鬆綁等等的我們引導我們的國內的這些奏顯業的資金政策的指向我們非常清楚是了解這一年內你推出之後剛才你講到說簽約金有3300億大概就是150件對不對是150件對 |
| transcript.whisperx[6].start |
152.873 |
| transcript.whisperx[6].end |
177.543 |
| transcript.whisperx[6].text |
我想這個你剛才提到說有這個整個這個整個到底是新增的從計劃源頭擴增新案源 擴增案源到這個從去年就從去年到現在為止政府主動促成的私人參與公共建設的案件中新增案源的占比大概是多少 你有沒有統計 |
| transcript.whisperx[7].start |
178.71 |
| transcript.whisperx[7].end |
203.828 |
| transcript.whisperx[7].text |
我想等一下會請財政部我跟委員報告就是說其實我們一個案源就是從起到真正簽約其實是要有一個時間的落差的所以我們現在最重要的事情我們有一個叫指標型的專案譬如說我們以後規定所有的再生水跟海淡廠都一定要走促餐這個大概有八百多億 |
| transcript.whisperx[8].start |
204.668 |
| transcript.whisperx[8].end |
222.893 |
| transcript.whisperx[8].text |
然後我們現在在推很多的社會住宅現在都還在規劃當中我們以後會有一個大型的社會住宅的方式然後還有長照機構還有文教設施那些還有數位建設其實我們都是在陸續盤點當中如果委員有興趣的話還在陸續盤點還沒有完全揭露就是在規劃的過程中間我想副主委適時的揭露讓我們更了解我們整個投資的一個 |
| transcript.whisperx[9].start |
233.876 |
| transcript.whisperx[9].end |
256.309 |
| transcript.whisperx[9].text |
就是這個策略要執行的一個成效我覺得你要適時的一次一個揭露我想這個政府的期望是引資回流我們從國外的資金回到我們台灣投資公共建設這是政府的一個期望那目前有沒有量化或可追蹤的數據顯示資金回流的規模是多少 |
| transcript.whisperx[10].start |
257.69 |
| transcript.whisperx[10].end |
277.502 |
| transcript.whisperx[10].text |
大概因為如果是金管會的話他們有他們的那個如果是金融業的話我們就可以從金管會裡面的那個金融業投資專案的那個金額裡面去了解啦那還有其他的面向 比如說我們造園我們的 |
| transcript.whisperx[11].start |
280.183 |
| transcript.whisperx[11].end |
308.788 |
| transcript.whisperx[11].text |
投資台灣三大方案我的問題很清楚就是你們我要了解整個統計的數字到底你現在外資引資回流他的目前現在來投入你這個策略性的方案大概是多少的比例我看你我知道我說的第一個你跟我回答這個問題就好了我第一個就是剛剛其實彭主委有講到就是他投資在就是收錢資金從國外投資的比重規模大概是多少你們沒有統計 |
| transcript.whisperx[12].start |
310.168 |
| transcript.whisperx[12].end |
321.032 |
| transcript.whisperx[12].text |
我們基本上就是我們只有統計所以我剛才一直強調希望你們要揭露到底它成效怎麼樣你們還是要揭露出來我們有促參的 有金融商品的我希望你們記住相關的統計數字能夠做出來我想我們政府現在一直強調策略性產業就是希望透過優惠投融資的條件把資金導向AI算力中心綠能 光電 健康醫療數位基礎建設等產業 |
| transcript.whisperx[13].start |
338.818 |
| transcript.whisperx[13].end |
367.427 |
| transcript.whisperx[13].text |
行政院也要求各部會釋出具公共建設性的策略性產業類別但重點在哪裡你可以具體告訴我嗎最重要就是你的重點在哪裡啊重點在於我們希望透過一些優惠的提高投資限額的鬆綁讓受益企業資金更容易投資在我們希望他投入的這些策略性產業還有公共建設的範疇是 |
| transcript.whisperx[14].start |
368.587 |
| transcript.whisperx[14].end |
376.07 |
| transcript.whisperx[14].text |
那我們就提高受險業投資的誘因面向去作業主委我要問你這個問題我是想問你到底你們現在操作的策略性產業它的具體的一個名單產業名攤以及適用的標準到底是哪幾個產業 |
| transcript.whisperx[15].start |
386.893 |
| transcript.whisperx[15].end |
411.819 |
| transcript.whisperx[15].text |
如果金融機構根本不知道說你是哪個標準可以適用優惠條件對金融市場而言最怕的就是你的定義模糊你的標準不清到底要對哪幾個策略性的產業是我們要去希望投資進去的所以這些產業的名單你要很清楚的告訴我們金融市場 |
| transcript.whisperx[16].start |
412.779 |
| transcript.whisperx[16].end |
428.918 |
| transcript.whisperx[16].text |
是 我想我们会跟金管会合作因为基本上就是五大信贷这些名单与适用的标准能够很明确的如列出来好不好好 没问题副主委你请回好 谢谢现在请金管会彭主委请彭主委 |
| transcript.whisperx[17].start |
431.57 |
| transcript.whisperx[17].end |
456.646 |
| transcript.whisperx[17].text |
主委 你好你們在配合兆元投資方案的第二大策略裡面做出投融條件投融資條件的優化放寬尤其對保險業要透過私募股權的PE及創投的VC投資公共建設的風險係數具體可降到1.28%而且透過PE VC可間接投資策略性的產業 |
| transcript.whisperx[18].start |
459.847 |
| transcript.whisperx[18].end |
480.292 |
| transcript.whisperx[18].text |
這項鬆綁已經正式發布並令事已經實施了嘛對不對都實施了但根據金管會截至今年6月國內保險業可運用資金大概是32.5兆對不對但其中專案運用於公共投資的實際金額大概只有1500億大概1500億左右 |
| transcript.whisperx[19].start |
485.193 |
| transcript.whisperx[19].end |
511.03 |
| transcript.whisperx[19].text |
這個是否顯示說我們儘管誘因的政策已經施行但是真正進入我們特定的公共建設的這些投資的金額的資金就進入這些策略性產業的資金仍然很少仍然偏低現在這個用鬆綁這些法規這些投資的標的這個他們在評估這個案子不會這麼快但是我們現在等於制度要先行 |
| transcript.whisperx[20].start |
512.63 |
| transcript.whisperx[20].end |
539.378 |
| transcript.whisperx[20].text |
這個是我們也是剛剛才鬆綁這些規定那我們也是在試試看假設這1.28是否能夠讓他們真的有這個評估以及開始有個案出現那我們也是在制度上我們先做一個這樣處理還有就是剛剛也有委員提到我們針對未來公建或投資這個範圍我們希望把它可投資的範圍加大來宣示一個政策發展的方向 |
| transcript.whisperx[21].start |
539.858 |
| transcript.whisperx[21].end |
552.243 |
| transcript.whisperx[21].text |
主委你有沒有統計過這個離當初政策設計投資的誘因他的目標差距有多大目前只有1500億左右跟你當初設計的這個目標差距有多大你們有沒有統計過 |
| transcript.whisperx[22].start |
553.297 |
| transcript.whisperx[22].end |
578.308 |
| transcript.whisperx[22].text |
就是我們當然希望這越多越好因為這優觀到我們整個放寬我們看到還是好像這個優因並沒有真正吸引到我們的這些受選業者去投資這是一個整體的問題我說這是一個市場我們所能影響的是買方的市場我們可以提高他的意願但是他市場上還是要有適合的標的所以這標的就各個部會正在努力不管國發外財政部 |
| transcript.whisperx[23].start |
579.208 |
| transcript.whisperx[23].end |
601.483 |
| transcript.whisperx[23].text |
投資標的沒有很明顯嘛我剛才講你的清單投資的清單如果不是很清楚的話整個這些受險業者他怎麼敢去貿然投資呢對 所以我們在我們這邊可以來處理的這個部分的障礙我們先把它消除所以我們也要跟跨部會來全力來協作看能不能提供更多有利於他投資的這個機會 |
| transcript.whisperx[24].start |
602.864 |
| transcript.whisperx[24].end |
624.149 |
| transcript.whisperx[24].text |
好 希望你們努力 是 一定的我再去請問一下今年受險業將正式接軌國際財務報導準則第17號的保險合約就是IFRS17以及新一代的清償能力制度那對於引導受險業投入公共建設會有任何財務上的影響嗎 |
| transcript.whisperx[25].start |
625.409 |
| transcript.whisperx[25].end |
637.835 |
| transcript.whisperx[25].text |
有關IFRS17的部分這倒沒有很具體但是我們的TIS新的制度的話我覺得這一部分我們在未來政策上面會針對這一塊會來加大力道 |
| transcript.whisperx[26].start |
641.322 |
| transcript.whisperx[26].end |
657.854 |
| transcript.whisperx[26].text |
最後我想又回到我們剛剛的問題就是說你現在這個放寬風險係數這個是一個硬性的誘因但是金融機構實際上在做投資決策時遇到的是風險報酬現金流等實務層面的一個評估 |
| transcript.whisperx[27].start |
658.695 |
| transcript.whisperx[27].end |
682.952 |
| transcript.whisperx[27].text |
所以金管會你有沒有評估過這個這項鬆綁是真正就是風險係數的鬆綁是真正能夠提升市場的參與意願有沒有做任何投資意願數據的一個調查其實我們在不管是全世界實施RBC制度的國家任何一個RBC係數絕對是他們投資上非常重要的基礎參考依據這是他們整個經營成本 |
| transcript.whisperx[28].start |
684.674 |
| transcript.whisperx[28].end |
710.276 |
| transcript.whisperx[28].text |
這個一定會有影響但是最重要的是標的本身我最後問你一個問題所以你預計今年保險資金投入公共建設的比例要提高到多少我們當然希望它能夠長遠越多越好預估多少還沒這個是牽涉他們投資醫院還有各家投資的成本我們只能正式上先鼓勵大概是這樣做好 希望你加油當然 謝謝 謝謝委員謝謝李世民在外 |