IVOD_ID |
162708 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162708 |
日期 |
2025-06-19 |
會議資料.會議代碼 |
委員會-11-3-20-18 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第18次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
18 |
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3會期財政委員會第18次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-06-19T10:06:55+08:00 |
結束時間 |
2025-06-19T10:19:05+08:00 |
影片長度 |
00:12:10 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/19817250edeb8a734679941d4d4064eceab13042bab466e3fe48e1f12328ce245fb1052951097e895ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
鍾佳濱 |
委員發言時間 |
10:06:55 - 10:19:05 |
會議時間 |
2025-06-19T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第18次全體委員會議(事由:邀請財政部莊部長翠雲、衛生福利部邱部長泰源、法務部、海洋委員會海巡署就「近三年菸酒管理法對於私菸(含電子菸 加熱菸)查緝成效與菸品健康捐經費分配及運作使用情形」進行專題報告,並備質詢。
【6月18日及19日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
6.34221875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
5.71784375 |
transcript.pyannote[1].end |
7.15221875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
7.15221875 |
transcript.pyannote[2].end |
9.43034375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
7.21971875 |
transcript.pyannote[3].end |
7.33784375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
7.94534375 |
transcript.pyannote[4].end |
8.90721875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
9.58221875 |
transcript.pyannote[5].end |
12.90659375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
10.12221875 |
transcript.pyannote[6].end |
10.72971875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
13.26096875 |
transcript.pyannote[7].end |
17.12534375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
17.68221875 |
transcript.pyannote[8].end |
18.55971875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
19.72409375 |
transcript.pyannote[9].end |
20.11221875 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
20.55096875 |
transcript.pyannote[10].end |
24.31409375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
24.56721875 |
transcript.pyannote[11].end |
28.73534375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
29.46096875 |
transcript.pyannote[12].end |
30.15284375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
30.50721875 |
transcript.pyannote[13].end |
31.48596875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
31.60409375 |
transcript.pyannote[14].end |
36.54846875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
32.36346875 |
transcript.pyannote[15].end |
34.82721875 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
36.54846875 |
transcript.pyannote[16].end |
40.69971875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
36.59909375 |
transcript.pyannote[17].end |
36.95346875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
41.12159375 |
transcript.pyannote[18].end |
45.76221875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
46.42034375 |
transcript.pyannote[19].end |
48.98534375 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
50.45346875 |
transcript.pyannote[20].end |
53.35596875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
54.35159375 |
transcript.pyannote[21].end |
55.97159375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
56.19096875 |
transcript.pyannote[22].end |
60.76409375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
61.21971875 |
transcript.pyannote[23].end |
61.70909375 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
62.19846875 |
transcript.pyannote[24].end |
77.20034375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
78.02721875 |
transcript.pyannote[25].end |
80.13659375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
80.42346875 |
transcript.pyannote[26].end |
81.28409375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
81.62159375 |
transcript.pyannote[27].end |
85.94159375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
85.97534375 |
transcript.pyannote[28].end |
87.03846875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
87.42659375 |
transcript.pyannote[29].end |
88.59096875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
89.77221875 |
transcript.pyannote[30].end |
97.82159375 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
97.51784375 |
transcript.pyannote[31].end |
100.92659375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
101.28096875 |
transcript.pyannote[32].end |
106.27596875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
106.66409375 |
transcript.pyannote[33].end |
113.49846875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
107.77784375 |
transcript.pyannote[34].end |
111.32159375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
113.76846875 |
transcript.pyannote[35].end |
114.79784375 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
117.56534375 |
transcript.pyannote[36].end |
118.15596875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
118.35846875 |
transcript.pyannote[37].end |
118.40909375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
119.10096875 |
transcript.pyannote[38].end |
119.11784375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
119.11784375 |
transcript.pyannote[39].end |
124.29846875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
119.13471875 |
transcript.pyannote[40].end |
119.59034375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
124.75409375 |
transcript.pyannote[41].end |
129.78284375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
130.25534375 |
transcript.pyannote[42].end |
130.71096875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
131.06534375 |
transcript.pyannote[43].end |
133.86659375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
134.32221875 |
transcript.pyannote[44].end |
134.91284375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
135.41909375 |
transcript.pyannote[45].end |
137.17409375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
137.52846875 |
transcript.pyannote[46].end |
141.02159375 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
141.49409375 |
transcript.pyannote[47].end |
142.25346875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
142.94534375 |
transcript.pyannote[48].end |
144.88596875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
145.24034375 |
transcript.pyannote[49].end |
145.81409375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
146.16846875 |
transcript.pyannote[50].end |
148.22721875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
148.49721875 |
transcript.pyannote[51].end |
149.62784375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
150.15096875 |
transcript.pyannote[52].end |
151.66971875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
152.14221875 |
transcript.pyannote[53].end |
157.27221875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
157.47471875 |
transcript.pyannote[54].end |
159.11159375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
159.51659375 |
transcript.pyannote[55].end |
162.18284375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
162.60471875 |
transcript.pyannote[56].end |
166.87409375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
167.07659375 |
transcript.pyannote[57].end |
169.50659375 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
170.04659375 |
transcript.pyannote[58].end |
170.92409375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
171.39659375 |
transcript.pyannote[59].end |
172.27409375 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
172.49346875 |
transcript.pyannote[60].end |
173.65784375 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
174.07971875 |
transcript.pyannote[61].end |
175.58159375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
176.12159375 |
transcript.pyannote[62].end |
179.04096875 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
179.19284375 |
transcript.pyannote[63].end |
182.93909375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
183.37784375 |
transcript.pyannote[64].end |
183.51284375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
183.51284375 |
transcript.pyannote[65].end |
184.74471875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
184.74471875 |
transcript.pyannote[66].end |
188.69346875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
189.06471875 |
transcript.pyannote[67].end |
192.11909375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
192.43971875 |
transcript.pyannote[68].end |
193.53659375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
193.95846875 |
transcript.pyannote[69].end |
195.08909375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
196.13534375 |
transcript.pyannote[70].end |
197.85659375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
197.85659375 |
transcript.pyannote[71].end |
197.94096875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
197.94096875 |
transcript.pyannote[72].end |
199.03784375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
199.03784375 |
transcript.pyannote[73].end |
199.76346875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
200.25284375 |
transcript.pyannote[74].end |
210.93471875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
210.22596875 |
transcript.pyannote[75].end |
214.30971875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
214.63034375 |
transcript.pyannote[76].end |
220.24971875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
220.82346875 |
transcript.pyannote[77].end |
224.58659375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
224.72159375 |
transcript.pyannote[78].end |
226.93221875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
227.87721875 |
transcript.pyannote[79].end |
234.49221875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
232.72034375 |
transcript.pyannote[80].end |
235.65659375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
236.11221875 |
transcript.pyannote[81].end |
238.08659375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
238.23846875 |
transcript.pyannote[82].end |
239.57159375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
239.16659375 |
transcript.pyannote[83].end |
241.20846875 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
241.37721875 |
transcript.pyannote[84].end |
242.86221875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
242.54159375 |
transcript.pyannote[85].end |
248.21159375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
248.61659375 |
transcript.pyannote[86].end |
260.56409375 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
259.56846875 |
transcript.pyannote[87].end |
263.82096875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
260.71596875 |
transcript.pyannote[88].end |
262.55534375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
264.07409375 |
transcript.pyannote[89].end |
264.25971875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
264.78284375 |
transcript.pyannote[90].end |
265.17096875 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
265.17096875 |
transcript.pyannote[91].end |
265.25534375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
265.62659375 |
transcript.pyannote[92].end |
270.09846875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
270.55409375 |
transcript.pyannote[93].end |
270.57096875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
270.57096875 |
transcript.pyannote[94].end |
270.60471875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
270.60471875 |
transcript.pyannote[95].end |
270.63846875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
270.63846875 |
transcript.pyannote[96].end |
271.02659375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
271.02659375 |
transcript.pyannote[97].end |
272.89971875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
272.89971875 |
transcript.pyannote[98].end |
275.90346875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
276.27471875 |
transcript.pyannote[99].end |
282.23159375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
282.94034375 |
transcript.pyannote[100].end |
290.43284375 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
290.80409375 |
transcript.pyannote[101].end |
291.17534375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
291.74909375 |
transcript.pyannote[102].end |
298.76909375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
298.00971875 |
transcript.pyannote[103].end |
298.33034375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
298.76909375 |
transcript.pyannote[104].end |
304.94534375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
305.46846875 |
transcript.pyannote[105].end |
309.28221875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
309.28221875 |
transcript.pyannote[106].end |
319.81221875 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
320.30159375 |
transcript.pyannote[107].end |
323.06909375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
323.27159375 |
transcript.pyannote[108].end |
325.16159375 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
325.39784375 |
transcript.pyannote[109].end |
327.94596875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
328.11471875 |
transcript.pyannote[110].end |
331.92846875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
332.29971875 |
transcript.pyannote[111].end |
338.52659375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
338.91471875 |
transcript.pyannote[112].end |
341.24346875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
341.61471875 |
transcript.pyannote[113].end |
341.91846875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
342.12096875 |
transcript.pyannote[114].end |
345.00659375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
345.37784375 |
transcript.pyannote[115].end |
348.43221875 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
348.80346875 |
transcript.pyannote[116].end |
353.96721875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
354.54096875 |
transcript.pyannote[117].end |
363.14721875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
359.06346875 |
transcript.pyannote[118].end |
359.51909375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
363.23159375 |
transcript.pyannote[119].end |
363.97409375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
363.97409375 |
transcript.pyannote[120].end |
364.68284375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
364.68284375 |
transcript.pyannote[121].end |
364.96971875 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
364.96971875 |
transcript.pyannote[122].end |
371.56784375 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
371.71971875 |
transcript.pyannote[123].end |
373.72784375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
374.09909375 |
transcript.pyannote[124].end |
375.68534375 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
375.76971875 |
transcript.pyannote[125].end |
382.43534375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
382.70534375 |
transcript.pyannote[126].end |
391.26096875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
385.01721875 |
transcript.pyannote[127].end |
385.03409375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
385.03409375 |
transcript.pyannote[128].end |
385.18596875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
385.18596875 |
transcript.pyannote[129].end |
385.21971875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
391.56471875 |
transcript.pyannote[130].end |
392.62784375 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
392.76284375 |
transcript.pyannote[131].end |
394.93971875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
395.66534375 |
transcript.pyannote[132].end |
406.22909375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
400.81221875 |
transcript.pyannote[133].end |
401.45346875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
402.17909375 |
transcript.pyannote[134].end |
403.02284375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
406.22909375 |
transcript.pyannote[135].end |
406.58346875 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
406.58346875 |
transcript.pyannote[136].end |
407.03909375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
407.03909375 |
transcript.pyannote[137].end |
426.20909375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
423.76221875 |
transcript.pyannote[138].end |
431.47409375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
431.71034375 |
transcript.pyannote[139].end |
434.88284375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
434.27534375 |
transcript.pyannote[140].end |
442.32471875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
441.71721875 |
transcript.pyannote[141].end |
443.43846875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
443.05034375 |
transcript.pyannote[142].end |
445.85159375 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
447.82596875 |
transcript.pyannote[143].end |
448.11284375 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
448.11284375 |
transcript.pyannote[144].end |
448.12971875 |
transcript.pyannote[145].speaker |
SPEAKER_03 |
transcript.pyannote[145].start |
450.10409375 |
transcript.pyannote[145].end |
450.74534375 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
450.86346875 |
transcript.pyannote[146].end |
451.50471875 |
transcript.pyannote[147].speaker |
SPEAKER_03 |
transcript.pyannote[147].start |
452.09534375 |
transcript.pyannote[147].end |
453.63096875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
453.05721875 |
transcript.pyannote[148].end |
454.35659375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
455.38596875 |
transcript.pyannote[149].end |
458.18721875 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
459.36846875 |
transcript.pyannote[150].end |
462.00096875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
462.45659375 |
transcript.pyannote[151].end |
462.92909375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
463.18221875 |
transcript.pyannote[152].end |
464.56596875 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
465.39284375 |
transcript.pyannote[153].end |
467.16471875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
467.80596875 |
transcript.pyannote[154].end |
468.66659375 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
469.59471875 |
transcript.pyannote[155].end |
473.54346875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
473.84721875 |
transcript.pyannote[156].end |
475.46721875 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
475.63596875 |
transcript.pyannote[157].end |
477.54284375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
477.79596875 |
transcript.pyannote[158].end |
483.02721875 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
484.27596875 |
transcript.pyannote[159].end |
492.25784375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
490.53659375 |
transcript.pyannote[160].end |
496.76346875 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
496.76346875 |
transcript.pyannote[161].end |
501.55596875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
496.86471875 |
transcript.pyannote[162].end |
497.38784375 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
500.25659375 |
transcript.pyannote[163].end |
507.27659375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
507.98534375 |
transcript.pyannote[164].end |
518.17784375 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
518.48159375 |
transcript.pyannote[165].end |
519.89909375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
520.32096875 |
transcript.pyannote[166].end |
521.60346875 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
522.05909375 |
transcript.pyannote[167].end |
524.87721875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
525.58596875 |
transcript.pyannote[168].end |
527.39159375 |
transcript.pyannote[169].speaker |
SPEAKER_03 |
transcript.pyannote[169].start |
527.05409375 |
transcript.pyannote[169].end |
528.20159375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
528.28596875 |
transcript.pyannote[170].end |
533.51721875 |
transcript.pyannote[171].speaker |
SPEAKER_03 |
transcript.pyannote[171].start |
533.16284375 |
transcript.pyannote[171].end |
535.57596875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
534.44534375 |
transcript.pyannote[172].end |
534.51284375 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
535.15409375 |
transcript.pyannote[173].end |
541.12784375 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
541.43159375 |
transcript.pyannote[174].end |
543.08534375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
544.57034375 |
transcript.pyannote[175].end |
546.25784375 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
546.29159375 |
transcript.pyannote[176].end |
549.32909375 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
548.26596875 |
transcript.pyannote[177].end |
559.47096875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
559.85909375 |
transcript.pyannote[178].end |
563.01471875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
563.55471875 |
transcript.pyannote[179].end |
566.33909375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
566.86221875 |
transcript.pyannote[180].end |
567.03096875 |
transcript.pyannote[181].speaker |
SPEAKER_03 |
transcript.pyannote[181].start |
567.03096875 |
transcript.pyannote[181].end |
569.02221875 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
569.02221875 |
transcript.pyannote[182].end |
571.82346875 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
572.36346875 |
transcript.pyannote[183].end |
575.51909375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
576.26159375 |
transcript.pyannote[184].end |
577.64534375 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
577.99971875 |
transcript.pyannote[185].end |
580.80096875 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
581.37471875 |
transcript.pyannote[186].end |
585.74534375 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
585.07034375 |
transcript.pyannote[187].end |
588.61409375 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
587.53409375 |
transcript.pyannote[188].end |
593.05221875 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
592.57971875 |
transcript.pyannote[189].end |
594.75659375 |
transcript.pyannote[190].speaker |
SPEAKER_03 |
transcript.pyannote[190].start |
594.01409375 |
transcript.pyannote[190].end |
594.40221875 |
transcript.pyannote[191].speaker |
SPEAKER_03 |
transcript.pyannote[191].start |
594.82409375 |
transcript.pyannote[191].end |
595.43159375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
594.89159375 |
transcript.pyannote[192].end |
598.57034375 |
transcript.pyannote[193].speaker |
SPEAKER_03 |
transcript.pyannote[193].start |
596.83221875 |
transcript.pyannote[193].end |
597.13596875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
599.70096875 |
transcript.pyannote[194].end |
602.18159375 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
602.51909375 |
transcript.pyannote[195].end |
605.32034375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
605.35409375 |
transcript.pyannote[196].end |
607.95284375 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
608.39159375 |
transcript.pyannote[197].end |
610.56846875 |
transcript.pyannote[198].speaker |
SPEAKER_03 |
transcript.pyannote[198].start |
611.93534375 |
transcript.pyannote[198].end |
615.39471875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
615.39471875 |
transcript.pyannote[199].end |
619.02284375 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
619.63034375 |
transcript.pyannote[200].end |
620.84534375 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
621.41909375 |
transcript.pyannote[201].end |
623.37659375 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
623.88284375 |
transcript.pyannote[202].end |
625.08096875 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
625.14846875 |
transcript.pyannote[203].end |
627.35909375 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
627.51096875 |
transcript.pyannote[204].end |
629.92409375 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
630.04221875 |
transcript.pyannote[205].end |
631.29096875 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
631.29096875 |
transcript.pyannote[206].end |
634.10909375 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
634.41284375 |
transcript.pyannote[207].end |
634.75034375 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
635.62784375 |
transcript.pyannote[208].end |
637.36596875 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
637.80471875 |
transcript.pyannote[209].end |
639.62721875 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
639.93096875 |
transcript.pyannote[210].end |
640.80846875 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
641.58471875 |
transcript.pyannote[211].end |
645.28034375 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
645.53346875 |
transcript.pyannote[212].end |
646.63034375 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
647.10284375 |
transcript.pyannote[213].end |
648.28409375 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
649.22909375 |
transcript.pyannote[214].end |
649.63409375 |
transcript.pyannote[215].speaker |
SPEAKER_03 |
transcript.pyannote[215].start |
651.97971875 |
transcript.pyannote[215].end |
658.24034375 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
658.02096875 |
transcript.pyannote[216].end |
665.00721875 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
665.61471875 |
transcript.pyannote[217].end |
667.09971875 |
transcript.pyannote[218].speaker |
SPEAKER_02 |
transcript.pyannote[218].start |
667.30221875 |
transcript.pyannote[218].end |
668.09534375 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
667.47096875 |
transcript.pyannote[219].end |
667.60596875 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
668.43284375 |
transcript.pyannote[220].end |
671.03159375 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
671.36909375 |
transcript.pyannote[221].end |
673.34346875 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
674.60909375 |
transcript.pyannote[222].end |
674.82846875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
675.01409375 |
transcript.pyannote[223].end |
682.69221875 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
683.45159375 |
transcript.pyannote[224].end |
693.67784375 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
694.36971875 |
transcript.pyannote[225].end |
696.17534375 |
transcript.pyannote[226].speaker |
SPEAKER_03 |
transcript.pyannote[226].start |
696.09096875 |
transcript.pyannote[226].end |
702.35159375 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
696.78284375 |
transcript.pyannote[227].end |
698.62221875 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
700.95096875 |
transcript.pyannote[228].end |
701.03534375 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
701.03534375 |
transcript.pyannote[229].end |
701.40659375 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
701.40659375 |
transcript.pyannote[230].end |
701.59221875 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
702.09846875 |
transcript.pyannote[231].end |
705.84471875 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
706.03034375 |
transcript.pyannote[232].end |
708.69659375 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
708.83159375 |
transcript.pyannote[233].end |
708.84846875 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
708.84846875 |
transcript.pyannote[234].end |
710.04659375 |
transcript.pyannote[235].speaker |
SPEAKER_02 |
transcript.pyannote[235].start |
709.00034375 |
transcript.pyannote[235].end |
709.43909375 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
710.40096875 |
transcript.pyannote[236].end |
713.43846875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
713.43846875 |
transcript.pyannote[237].end |
713.87721875 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
713.45534375 |
transcript.pyannote[238].end |
713.80971875 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
713.87721875 |
transcript.pyannote[239].end |
714.33284375 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
714.33284375 |
transcript.pyannote[240].end |
716.07096875 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
716.32409375 |
transcript.pyannote[241].end |
720.03659375 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
720.55971875 |
transcript.pyannote[242].end |
720.57659375 |
transcript.pyannote[243].speaker |
SPEAKER_03 |
transcript.pyannote[243].start |
720.57659375 |
transcript.pyannote[243].end |
721.55534375 |
transcript.pyannote[244].speaker |
SPEAKER_02 |
transcript.pyannote[244].start |
721.55534375 |
transcript.pyannote[244].end |
724.05284375 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
724.45784375 |
transcript.pyannote[245].end |
724.77846875 |
transcript.pyannote[246].speaker |
SPEAKER_03 |
transcript.pyannote[246].start |
724.77846875 |
transcript.pyannote[246].end |
725.97659375 |
transcript.pyannote[247].speaker |
SPEAKER_02 |
transcript.pyannote[247].start |
725.97659375 |
transcript.pyannote[247].end |
726.26346875 |
transcript.pyannote[248].speaker |
SPEAKER_03 |
transcript.pyannote[248].start |
726.26346875 |
transcript.pyannote[248].end |
726.28034375 |
transcript.whisperx[0].start |
0.369 |
transcript.whisperx[0].end |
28.54 |
transcript.whisperx[0].text |
會長 工作夥伴 媒體記者 女士先生我們先請邱部長和食藥署的王副署長待會我們就請海巡署的謝副署長以及我們財政部的莊部長和國庫署的胡瑞署的兩位署長委員好部長 剛剛我覺得賴委員 賴昭偉的質詢非常精彩空面探針之前台灣有辦法製造目前的這種口罩嗎 有沒有能力 |
transcript.whisperx[1].start |
29.522 |
transcript.whisperx[1].end |
53.04 |
transcript.whisperx[1].text |
有沒有在做?COVID-19之前有嗎?世界主要的口罩跟誰買的?世界上主要的這種COVID-19防護口罩,當時都是跟中國買的啦後來台灣趕快的進口那樣的一個表面噴劑,我們才有辦法自製嘛對不對?血袋是不是一個比較低階的產品?全世界大概其中在哪幾家工廠生產,你知道嗎? |
transcript.whisperx[2].start |
54.466 |
transcript.whisperx[2].end |
76.797 |
transcript.whisperx[2].text |
副組長跟他講一下副組長剛剛委員報告全世界主要是日本美國跟歐洲有在生產是的所以整個全球化經濟的結果大概這些醫材如果不是很通用性的醫材有些就是少數的國家少數的工廠在製造但是剛剛委員召委的諮詢前台灣要有備戰的準備包括我們的 |
transcript.whisperx[3].start |
78.072 |
transcript.whisperx[3].end |
88.357 |
transcript.whisperx[3].text |
部立醫院的地下室要做緊急的傷患修製包括我們這些會需要用到的醫材要趕快自主籌措自主證到的能力部長能不能做到 |
transcript.whisperx[4].start |
90.247 |
transcript.whisperx[4].end |
114.414 |
transcript.whisperx[4].text |
剛剛醫事室也有報告齁,在我們準備的藥材、醫材都有準備十萬人份的一個急救另外當我們準備這個時候呢,你要想到什麼?去化因為這些東西都有保存期限的所以你解決你的緊急存量之後,你要思考到定期的推陳出新的去化當然這是管理藥品一定要的事我們給你一個報告,給你一個書面報告好,那我先問謝副組長謝副組長 |
transcript.whisperx[5].start |
119.947 |
transcript.whisperx[5].end |
138.756 |
transcript.whisperx[5].text |
請問 目前我們看一下 為什麼金門海域走私日漸長久 我們看到新聞啊遊艇喔 金門的遊艇會到中國海域走私喔把台灣的一些東西 在非法運送電子產品運到中國去啊還有什麼 澳洲的龍蝦怎麼到中國的是透過金門馬祖從台灣這邊把龍蝦進到中國去啊 |
transcript.whisperx[6].start |
142.998 |
transcript.whisperx[6].end |
169.411 |
transcript.whisperx[6].text |
包括這些顯卡科技產品這些包括無人機的晶片都用漁船搬貨副組長你們有沒有抓到過我們抓到非常多非常多嗎是所以這是一個嚴重的問題我們往下看接下來我們看到這兩天這個是密集的報導灰色海域變成了中國大中國的走私產地越容易來我們看看越靠近中國越容易 |
transcript.whisperx[7].start |
170.111 |
transcript.whisperx[7].end |
192.665 |
transcript.whisperx[7].text |
基本上是台灣的漁民跟中國下單他們在福建養成陳輩綁成浮球在海上丟包馬祖的漁民領獲在馬祖海域綻放然後變成台灣的牡蠣有沒有這樣的情況馬祖沒有超過列案 有有嘛 馬祖本來的產量是148公噸2023年結果去年馬祖向往台灣的牡蠣多少1500噸啊你們不覺得可疑嗎 |
transcript.whisperx[8].start |
196.192 |
transcript.whisperx[8].end |
214.055 |
transcript.whisperx[8].text |
有沒有跟農業部去查一下到底馬達族哪些人在養牡蠣這不僅跟地方漁業主管機關也跟中央主管機關我們都協調過我們在查計畫全力以赴另外呢我們希望從源頭管理包括產銷履歷等等是的 那產銷履歷那就是農業部的事金馬的海域 |
transcript.whisperx[9].start |
215.737 |
transcript.whisperx[9].end |
226.542 |
transcript.whisperx[9].text |
兩邊共同去管理的海域就成為兩邊走私的一個漏洞我們想要看現在我們看到金下海域有一個違規的磕棚是不是是現在金門縣政府有辦法去拆嗎 |
transcript.whisperx[10].start |
228.696 |
transcript.whisperx[10].end |
247.87 |
transcript.whisperx[10].text |
這個是非法漁業行為我們建議金門縣政府要依照漁業法聽到沒有 你們建議金門縣政府海巡署可以去執行嗎 不是嘛拆客架不是你們的事情嗎我們負責漁業界入船好 你們負責漁業界的包括說拆除的話有安全顧慮的話我們全程戒護都沒有問題所以現在執法的困難在哪裡 |
transcript.whisperx[11].start |
249.01 |
transcript.whisperx[11].end |
258.173 |
transcript.whisperx[11].text |
跟委員報告這個距離剛好它核損的地方各2公頃96跟100年各2公頃只有4公頃剛好在我們檳榔嶼就是在淨線水域線上就在旁邊距離廈門1.7箱是 |
transcript.whisperx[12].start |
266.777 |
transcript.whisperx[12].end |
290.153 |
transcript.whisperx[12].text |
淨線水域如果模糊是不是走資越容易所以我們強制執法 嚴正執法但是你執法還要法是怎麼定 我們來看一下現在有在野黨立委主張兩岸協商 金馬的淨制水域要內海化怎麼說 前項限制或禁止水域由海洋委員公告之但是他是怎樣 他把淡化組言到說這些地方 |
transcript.whisperx[13].start |
291.803 |
transcript.whisperx[13].end |
308.915 |
transcript.whisperx[13].text |
要跟陸方透過協商定出陸方承認的我國司法行政有效水準是這樣嗎你覺得可以接受嗎我們不同意因為這個案子涉及到國家安全國防策略還有區域的發展那這部分不是單單執法而已是 |
transcript.whisperx[14].start |
309.355 |
transcript.whisperx[14].end |
326.85 |
transcript.whisperx[14].text |
是,所以我們看到在野黨的他的關係文化立法理由說1949年以來的內戰狀態其實我們解決洞刊之後就沒有什麼內戰的問題了這個法治觀念根本不懂好,我們來看一下兩岸協商禁制水域會擴大還是縮小目前的做法是國防部公告禁制水域海巡組執法對不對是 |
transcript.whisperx[15].start |
328.251 |
transcript.whisperx[15].end |
353.645 |
transcript.whisperx[15].text |
如果未來照在野黨的法案通過的話兩岸協商禁限制水域然後來有陸委會公告海巡組執法你覺得目前這個點啊是目前在我們現有的禁限制水域後我們海警對岸的海警船入侵的軌跡點至少目前還維持著他們不敢越線如果未來禁限制水域縮小的話或對方不跟你協商的話你覺得會面臨到什麼樣的情況 |
transcript.whisperx[16].start |
355.326 |
transcript.whisperx[16].end |
371.155 |
transcript.whisperx[16].text |
這個涉及到國家主權的問題這不是可以協商陸方可以得來的所以我們堅持這是我們國家主權區的展現所以我們看到了如果說在現在我們有法律的授權之下我們海巡署還可以維持這樣的海域我們國家主權 |
transcript.whisperx[17].start |
371.815 |
transcript.whisperx[17].end |
394.554 |
transcript.whisperx[17].text |
如果這個上面的法律更動了,海巡恐怕沒有辦法執法了我們更很難去打擊兩岸的走私,是不是?是好,那我現在再問,接下來請財政部長準備,來我們看一下反海上走私,海巡準備好了嗎?有沒有看過這樣的一個國內媒體報導用科技的無人船,來協助我們做這些海域,有高風險海域的巡邏 |
transcript.whisperx[18].start |
395.815 |
transcript.whisperx[18].end |
421.75 |
transcript.whisperx[18].text |
韓總統有沒有去探究類似的計畫昨天前天你們探究一個快期計畫是中科院的你們有派員去看嘛我們當上之後才看賴總統去看高雄港的操演嘛那這個東西你們有沒有引進我們不僅在特別特別條例草案我們爭取兩百六十億的經費我們在公共建設也同樣的我們也爭取經費那麼以後不僅是要強化岸海健身設備航外線也包括立體徵收無人機 |
transcript.whisperx[19].start |
423.251 |
transcript.whisperx[19].end |
443.445 |
transcript.whisperx[19].text |
還有水面的無人載具所以結論兩個請你承諾請海軍委員運用無人載具強化我國禁限制水域的執法方案可以嗎是包括海底電纜還有對於金馬海水域走私倉決的情況我們應該用無人載具去反制可以嗎是我都略不考量是謝謝我們接下來請我們財政部 |
transcript.whisperx[20].start |
450.297 |
transcript.whisperx[20].end |
468.388 |
transcript.whisperx[20].text |
兩位長官 專部長陳署長 以及瘦署長部長 這些新聞事件啊告訴我們一個社會現象很多年輕的家長你看很看到的 虐嬰對不對 幼兒園的性侵補習班不減反增這說明了什麼 |
transcript.whisperx[21].start |
469.659 |
transcript.whisperx[21].end |
482.762 |
transcript.whisperx[21].text |
所以目前我們現在的家長在養育子女的過程當中從三歲之前的托嬰到三到六歲的幼兒照顧到六到十二歲這些課後的照顧是不是都是我們現在家長越來越依賴 |
transcript.whisperx[22].start |
484.712 |
transcript.whisperx[22].end |
492.394 |
transcript.whisperx[22].text |
所以政府有沒有義務責任要來推動 協助家長減輕他們負擔為什麼我是問你不是問邱部長 因為這個議題邱部長很熟悉但是莊部長你要了解苦民所苦往下看 |
transcript.whisperx[23].start |
508.035 |
transcript.whisperx[23].end |
524.123 |
transcript.whisperx[23].text |
所以當我們看到勞動部已經在昨天在修改原意彈性的月薪假讓企業可以臨時排班也防止企業拒絕家長他能夠照顧嬰幼兒而我們目前財政部我們的學齡前的特別扣除額擴大到6歲對不對 |
transcript.whisperx[24].start |
525.749 |
transcript.whisperx[24].end |
542.82 |
transcript.whisperx[24].text |
這最近財政部做的嘛是不是那是不是說六歲以下的第一名15萬第二名再加50%是不是對第二名第三名都是但是我們說到了未來幼托和子女育兒的對育兒子女的要求不是只有三歲之前對不對 |
transcript.whisperx[25].start |
544.628 |
transcript.whisperx[25].end |
566.104 |
transcript.whisperx[25].text |
也不是只有六歲之前對不對當然孩子是很成長的過程現在我們看到市場的趨勢這些課後的安親班如雨後春筍的取代了過去我們考高中大學的聯考補習班說明了一件事情12歲以下的學齡兒童成為我們目前年輕父母他最大的負擔你同意嗎 |
transcript.whisperx[26].start |
567.174 |
transcript.whisperx[26].end |
580.251 |
transcript.whisperx[26].text |
是確實育兒的經費是比較好那政府如何怎麼分攤照顧6到12歲的呢邱部長他想講不用了我們都做很多政府呢就是我們學年兒童國家跟你分攤一起照顧財政部可以做什麼莊部長 |
transcript.whisperx[27].start |
581.425 |
transcript.whisperx[27].end |
609.819 |
transcript.whisperx[27].text |
我想財政部的地方當然就是除了稅負的部分之外不是除了稅負的部分就是稅負的部分來請你針對這部分來我們下一題國有財產的相關的提供都有各種優惠的措施國有財產的土地要來釋出這是一個啦但是要知道目前年輕家長他托育的需求大概都跟我們的國有地不是那麼接近所以最好做的最容易做的就是特別扣除額特別扣除額可不可以擴散到12歲 |
transcript.whisperx[28].start |
611.977 |
transcript.whisperx[28].end |
640.324 |
transcript.whisperx[28].text |
委員這個建議我們要做一個評估是做一個評估來現在對不起本來想讓邱部長休息一下邱部長你們是不是有呼籲家有未滿12歲的兒童要做到一步二要不要讓孩子獨處抽空陪孩子每天抱抱孩子有沒有這是很重要的事情那我們財政部我們沒辦法幫家長陪孩子沒辦法抱抱孩子但是我們財政部是可以做到讓家長 |
transcript.whisperx[29].start |
641.656 |
transcript.whisperx[29].end |
664.434 |
transcript.whisperx[29].text |
避免孩子獨處送到6到12歲送到客戶安親班的時候他這樣的費用可不可以國家幫他減負擔莊部長我想這個部分相關的一些經費以及用什麼樣的方式支出都需要審慎的評估是的財政部左手右手啦你左手收稅右手交給衛福部擴大我們的客戶照顧擴大我們的 |
transcript.whisperx[30].start |
665.732 |
transcript.whisperx[30].end |
682.45 |
transcript.whisperx[30].text |
托育的費用對不對所以邱部長你現在放在托育政府照顧協助這樣托育的錢是不是財政部去籌來的是是嗎那如果要你不斷的擴大你的照顧範圍另外一方是財政部給你租稅優惠讓我們家有12歲以下看最後一頁 |
transcript.whisperx[31].start |
683.513 |
transcript.whisperx[31].end |
709.77 |
transcript.whisperx[31].text |
是不是研議將幼兒的學前特別扣除額擴大為兒童特別扣除額不是幼兒扣除額適用年齡擴大到12歲以下並提交評估報告可不可以提交評估報告喔 要隨時評估喔是是多久以前可以 多久之內可以我想至少兩個月吧好 給我們兩個月的時間兩個月的時間 看看明年報所得稅會來得及好不好兩位部長支持這個計畫吧 支持這個方案吧邱部長 支持不支持 |
transcript.whisperx[32].start |
710.807 |
transcript.whisperx[32].end |
723.099 |
transcript.whisperx[32].text |
站在兒童照顧的立場我們當然是很好的謝謝 莊部長聽到邱部長的話沒有你不幫忙減這個稅你要多付錢給他 謝謝謝謝委員好 謝謝莊委員的執行 下一位請賴會員召委執行 請 |