IVOD_ID |
162742 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162742 |
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 |
2025-06-19T12:25:33+08:00 |
結束時間 |
2025-06-19T12:36:06+08:00 |
影片長度 |
00:10:33 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/19817250edeb8a7318a3548df8a48266eab13042bab466e3f5cc7c241d129cfc24c937f9f25b3ec65ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅明才 |
委員發言時間 |
12:25:33 - 12:36:06 |
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_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
0.65534375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
3.38909375 |
transcript.pyannote[1].end |
5.73471875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
6.20721875 |
transcript.pyannote[2].end |
10.12221875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
9.17721875 |
transcript.pyannote[3].end |
9.21096875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
9.21096875 |
transcript.pyannote[4].end |
9.37971875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
9.37971875 |
transcript.pyannote[5].end |
9.53159375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
9.53159375 |
transcript.pyannote[6].end |
9.76784375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
9.76784375 |
transcript.pyannote[7].end |
9.86909375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
11.32034375 |
transcript.pyannote[8].end |
12.38346875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
13.98659375 |
transcript.pyannote[9].end |
15.31971875 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
15.64034375 |
transcript.pyannote[10].end |
25.44471875 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
17.86784375 |
transcript.pyannote[11].end |
18.28971875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
25.81596875 |
transcript.pyannote[12].end |
27.92534375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
28.39784375 |
transcript.pyannote[13].end |
38.20221875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
38.94471875 |
transcript.pyannote[14].end |
41.22284375 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
41.57721875 |
transcript.pyannote[15].end |
48.81659375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
49.42409375 |
transcript.pyannote[16].end |
52.02284375 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
52.02284375 |
transcript.pyannote[17].end |
52.46159375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
53.64284375 |
transcript.pyannote[18].end |
53.65971875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
53.65971875 |
transcript.pyannote[19].end |
54.18284375 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
54.43596875 |
transcript.pyannote[20].end |
58.65471875 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
62.51909375 |
transcript.pyannote[21].end |
63.56534375 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
64.30784375 |
transcript.pyannote[22].end |
68.49284375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
66.61971875 |
transcript.pyannote[23].end |
68.12159375 |
transcript.pyannote[24].speaker |
SPEAKER_03 |
transcript.pyannote[24].start |
68.69534375 |
transcript.pyannote[24].end |
70.97346875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
70.97346875 |
transcript.pyannote[25].end |
92.97846875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
93.75471875 |
transcript.pyannote[26].end |
96.35346875 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
97.29846875 |
transcript.pyannote[27].end |
101.68596875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
101.95596875 |
transcript.pyannote[28].end |
102.81659375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
103.49159375 |
transcript.pyannote[29].end |
105.19596875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
106.32659375 |
transcript.pyannote[30].end |
107.06909375 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
107.59221875 |
transcript.pyannote[31].end |
109.88721875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
110.76471875 |
transcript.pyannote[32].end |
113.76846875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
114.07221875 |
transcript.pyannote[33].end |
117.19409375 |
transcript.pyannote[34].speaker |
SPEAKER_03 |
transcript.pyannote[34].start |
120.63659375 |
transcript.pyannote[34].end |
120.95721875 |
transcript.pyannote[35].speaker |
SPEAKER_03 |
transcript.pyannote[35].start |
121.64909375 |
transcript.pyannote[35].end |
137.14034375 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
137.30909375 |
transcript.pyannote[36].end |
139.68846875 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
140.71784375 |
transcript.pyannote[37].end |
141.40971875 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
141.54471875 |
transcript.pyannote[38].end |
141.89909375 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
142.82721875 |
transcript.pyannote[39].end |
143.04659375 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
143.28284375 |
transcript.pyannote[40].end |
143.87346875 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
145.02096875 |
transcript.pyannote[41].end |
150.25221875 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
145.52721875 |
transcript.pyannote[42].end |
146.99534375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
147.87284375 |
transcript.pyannote[43].end |
148.27784375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
149.45909375 |
transcript.pyannote[44].end |
159.76971875 |
transcript.pyannote[45].speaker |
SPEAKER_03 |
transcript.pyannote[45].start |
151.12971875 |
transcript.pyannote[45].end |
151.93971875 |
transcript.pyannote[46].speaker |
SPEAKER_03 |
transcript.pyannote[46].start |
154.75784375 |
transcript.pyannote[46].end |
155.31471875 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
156.59721875 |
transcript.pyannote[47].end |
157.59284375 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
160.61346875 |
transcript.pyannote[48].end |
161.50784375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
161.86221875 |
transcript.pyannote[49].end |
166.46909375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
168.59534375 |
transcript.pyannote[50].end |
168.73034375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
169.43909375 |
transcript.pyannote[51].end |
177.45471875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
172.69596875 |
transcript.pyannote[52].end |
174.28221875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
174.45096875 |
transcript.pyannote[53].end |
174.56909375 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
178.80471875 |
transcript.pyannote[54].end |
184.23846875 |
transcript.pyannote[55].speaker |
SPEAKER_03 |
transcript.pyannote[55].start |
184.23846875 |
transcript.pyannote[55].end |
184.62659375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
184.62659375 |
transcript.pyannote[56].end |
184.66034375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
184.79534375 |
transcript.pyannote[57].end |
192.06846875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
192.35534375 |
transcript.pyannote[58].end |
196.67534375 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
197.33346875 |
transcript.pyannote[59].end |
197.35034375 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
197.35034375 |
transcript.pyannote[60].end |
199.86471875 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
197.73846875 |
transcript.pyannote[61].end |
197.77221875 |
transcript.pyannote[62].speaker |
SPEAKER_03 |
transcript.pyannote[62].start |
198.91971875 |
transcript.pyannote[62].end |
200.96159375 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
201.33284375 |
transcript.pyannote[63].end |
202.26096875 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
202.53096875 |
transcript.pyannote[64].end |
202.54784375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
202.54784375 |
transcript.pyannote[65].end |
205.06221875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
205.38284375 |
transcript.pyannote[66].end |
206.59784375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
207.62721875 |
transcript.pyannote[67].end |
208.16721875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
208.99409375 |
transcript.pyannote[68].end |
209.43284375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
210.02346875 |
transcript.pyannote[69].end |
212.25096875 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
213.33096875 |
transcript.pyannote[70].end |
215.37284375 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
218.37659375 |
transcript.pyannote[71].end |
219.64221875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
220.01346875 |
transcript.pyannote[72].end |
221.14409375 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
221.14409375 |
transcript.pyannote[73].end |
221.97096875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
221.97096875 |
transcript.pyannote[74].end |
222.54471875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
223.32096875 |
transcript.pyannote[75].end |
223.57409375 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
223.57409375 |
transcript.pyannote[76].end |
223.65846875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
223.64159375 |
transcript.pyannote[77].end |
226.89846875 |
transcript.pyannote[78].speaker |
SPEAKER_03 |
transcript.pyannote[78].start |
225.66659375 |
transcript.pyannote[78].end |
226.42596875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
227.38784375 |
transcript.pyannote[79].end |
233.05784375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
233.22659375 |
transcript.pyannote[80].end |
241.86659375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
239.55471875 |
transcript.pyannote[81].end |
240.41534375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
242.23784375 |
transcript.pyannote[82].end |
243.77346875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
245.19096875 |
transcript.pyannote[83].end |
246.11909375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
246.50721875 |
transcript.pyannote[84].end |
246.92909375 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
248.66721875 |
transcript.pyannote[85].end |
248.68409375 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
248.68409375 |
transcript.pyannote[86].end |
248.80221875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
248.80221875 |
transcript.pyannote[87].end |
249.02159375 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
249.91596875 |
transcript.pyannote[88].end |
250.27034375 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
250.75971875 |
transcript.pyannote[89].end |
252.56534375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
254.96159375 |
transcript.pyannote[90].end |
255.38346875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
255.38346875 |
transcript.pyannote[91].end |
256.14284375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
256.51409375 |
transcript.pyannote[92].end |
258.03284375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
258.77534375 |
transcript.pyannote[93].end |
259.12971875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
259.85534375 |
transcript.pyannote[94].end |
261.67784375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
262.50471875 |
transcript.pyannote[95].end |
263.50034375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
263.87159375 |
transcript.pyannote[96].end |
264.61409375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
264.83346875 |
transcript.pyannote[97].end |
265.37346875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
266.14971875 |
transcript.pyannote[98].end |
267.33096875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
267.48284375 |
transcript.pyannote[99].end |
267.85409375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
268.90034375 |
transcript.pyannote[100].end |
269.54159375 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
269.98034375 |
transcript.pyannote[101].end |
271.36409375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
272.59596875 |
transcript.pyannote[102].end |
273.89534375 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
275.43096875 |
transcript.pyannote[103].end |
276.22409375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
277.45596875 |
transcript.pyannote[104].end |
280.86471875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
280.86471875 |
transcript.pyannote[105].end |
282.33284375 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
282.75471875 |
transcript.pyannote[106].end |
285.03284375 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
285.91034375 |
transcript.pyannote[107].end |
289.01534375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
287.90159375 |
transcript.pyannote[108].end |
288.03659375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
288.03659375 |
transcript.pyannote[109].end |
288.94784375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
289.33596875 |
transcript.pyannote[110].end |
289.85909375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
290.12909375 |
transcript.pyannote[111].end |
300.40596875 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
290.56784375 |
transcript.pyannote[112].end |
290.92221875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
300.60846875 |
transcript.pyannote[113].end |
301.24971875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
301.80659375 |
transcript.pyannote[114].end |
302.09346875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
302.36346875 |
transcript.pyannote[115].end |
304.96221875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
305.48534375 |
transcript.pyannote[116].end |
322.02284375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
314.69909375 |
transcript.pyannote[117].end |
315.03659375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
315.03659375 |
transcript.pyannote[118].end |
317.29784375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
320.40284375 |
transcript.pyannote[119].end |
323.22096875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
324.43596875 |
transcript.pyannote[120].end |
325.56659375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
324.52034375 |
transcript.pyannote[121].end |
324.95909375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
325.78596875 |
transcript.pyannote[122].end |
326.08971875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
326.51159375 |
transcript.pyannote[123].end |
328.89096875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
328.50284375 |
transcript.pyannote[124].end |
332.77221875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
333.12659375 |
transcript.pyannote[125].end |
334.81409375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
336.11346875 |
transcript.pyannote[126].end |
337.09221875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
337.09221875 |
transcript.pyannote[127].end |
337.32846875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
337.78409375 |
transcript.pyannote[128].end |
339.45471875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
340.07909375 |
transcript.pyannote[129].end |
344.21346875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
344.85471875 |
transcript.pyannote[130].end |
346.64346875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
348.98909375 |
transcript.pyannote[131].end |
349.79909375 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
351.45284375 |
transcript.pyannote[132].end |
352.19534375 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
352.49909375 |
transcript.pyannote[133].end |
354.91221875 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
354.96284375 |
transcript.pyannote[134].end |
354.99659375 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
355.46909375 |
transcript.pyannote[135].end |
360.05909375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
360.71721875 |
transcript.pyannote[136].end |
363.60284375 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
365.18909375 |
transcript.pyannote[137].end |
365.49284375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
365.52659375 |
transcript.pyannote[138].end |
367.46721875 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
368.68221875 |
transcript.pyannote[139].end |
390.36659375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
368.96909375 |
transcript.pyannote[140].end |
369.30659375 |
transcript.pyannote[141].speaker |
SPEAKER_03 |
transcript.pyannote[141].start |
369.30659375 |
transcript.pyannote[141].end |
370.33596875 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
378.52034375 |
transcript.pyannote[142].end |
379.33034375 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
392.74596875 |
transcript.pyannote[143].end |
407.83221875 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
409.67159375 |
transcript.pyannote[144].end |
410.88659375 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
413.46846875 |
transcript.pyannote[145].end |
413.94096875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
414.16034375 |
transcript.pyannote[146].end |
415.78034375 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
416.05034375 |
transcript.pyannote[147].end |
417.16409375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
417.41721875 |
transcript.pyannote[148].end |
419.83034375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
420.33659375 |
transcript.pyannote[149].end |
420.77534375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
421.07909375 |
transcript.pyannote[150].end |
423.40784375 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
423.49221875 |
transcript.pyannote[151].end |
426.85034375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
427.05284375 |
transcript.pyannote[152].end |
428.43659375 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
428.72346875 |
transcript.pyannote[153].end |
429.78659375 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
428.95971875 |
transcript.pyannote[154].end |
428.97659375 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
430.25909375 |
transcript.pyannote[155].end |
431.86221875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
432.04784375 |
transcript.pyannote[156].end |
434.78159375 |
transcript.pyannote[157].speaker |
SPEAKER_03 |
transcript.pyannote[157].start |
433.51596875 |
transcript.pyannote[157].end |
436.04721875 |
transcript.pyannote[158].speaker |
SPEAKER_03 |
transcript.pyannote[158].start |
436.14846875 |
transcript.pyannote[158].end |
436.19909375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
436.19909375 |
transcript.pyannote[159].end |
440.65409375 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
436.21596875 |
transcript.pyannote[160].end |
437.04284375 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
440.85659375 |
transcript.pyannote[161].end |
442.30784375 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
443.25284375 |
transcript.pyannote[162].end |
444.75471875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
445.37909375 |
transcript.pyannote[163].end |
451.52159375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
452.19659375 |
transcript.pyannote[164].end |
453.68159375 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
455.95971875 |
transcript.pyannote[165].end |
463.60409375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
464.12721875 |
transcript.pyannote[166].end |
465.57846875 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
466.18596875 |
transcript.pyannote[167].end |
468.75096875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
469.12221875 |
transcript.pyannote[168].end |
470.06721875 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
470.40471875 |
transcript.pyannote[169].end |
471.29909375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
472.19346875 |
transcript.pyannote[170].end |
473.17221875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
473.44221875 |
transcript.pyannote[171].end |
476.58096875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
473.47596875 |
transcript.pyannote[172].end |
474.35346875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
476.96909375 |
transcript.pyannote[173].end |
490.28346875 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
491.21159375 |
transcript.pyannote[174].end |
493.06784375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
493.59096875 |
transcript.pyannote[175].end |
494.78909375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
495.12659375 |
transcript.pyannote[176].end |
502.97346875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
501.15096875 |
transcript.pyannote[177].end |
502.04534375 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
502.82159375 |
transcript.pyannote[178].end |
504.71159375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
504.93096875 |
transcript.pyannote[179].end |
505.53846875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
505.60596875 |
transcript.pyannote[180].end |
508.67721875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
508.67721875 |
transcript.pyannote[181].end |
509.48721875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
509.48721875 |
transcript.pyannote[182].end |
510.17909375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
510.48284375 |
transcript.pyannote[183].end |
511.91721875 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
511.96784375 |
transcript.pyannote[184].end |
524.03346875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
512.30534375 |
transcript.pyannote[185].end |
513.18284375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
516.94596875 |
transcript.pyannote[186].end |
517.40159375 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
524.35409375 |
transcript.pyannote[187].end |
525.60284375 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
525.75471875 |
transcript.pyannote[188].end |
531.86346875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
532.67346875 |
transcript.pyannote[189].end |
543.01784375 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
533.43284375 |
transcript.pyannote[190].end |
535.55909375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
543.72659375 |
transcript.pyannote[191].end |
546.86534375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
547.60784375 |
transcript.pyannote[192].end |
550.52721875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
547.67534375 |
transcript.pyannote[193].end |
548.23221875 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
549.14346875 |
transcript.pyannote[194].end |
550.29096875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
550.52721875 |
transcript.pyannote[195].end |
558.81284375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
558.81284375 |
transcript.pyannote[196].end |
561.74909375 |
transcript.pyannote[197].speaker |
SPEAKER_01 |
transcript.pyannote[197].start |
562.05284375 |
transcript.pyannote[197].end |
565.81596875 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
565.81596875 |
transcript.pyannote[198].end |
573.02159375 |
transcript.pyannote[199].speaker |
SPEAKER_01 |
transcript.pyannote[199].start |
573.47721875 |
transcript.pyannote[199].end |
573.49409375 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
573.49409375 |
transcript.pyannote[200].end |
573.73034375 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
573.73034375 |
transcript.pyannote[201].end |
573.93284375 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
573.93284375 |
transcript.pyannote[202].end |
579.73784375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
574.13534375 |
transcript.pyannote[203].end |
575.13096875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
576.04221875 |
transcript.pyannote[204].end |
576.21096875 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
576.21096875 |
transcript.pyannote[205].end |
576.44721875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
576.44721875 |
transcript.pyannote[206].end |
576.51471875 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
578.48909375 |
transcript.pyannote[207].end |
583.43346875 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
580.96971875 |
transcript.pyannote[208].end |
582.38721875 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
582.57284375 |
transcript.pyannote[209].end |
585.00284375 |
transcript.pyannote[210].speaker |
SPEAKER_01 |
transcript.pyannote[210].start |
585.45846875 |
transcript.pyannote[210].end |
589.17096875 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
587.38221875 |
transcript.pyannote[211].end |
589.66034375 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
591.11159375 |
transcript.pyannote[212].end |
595.56659375 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
595.73534375 |
transcript.pyannote[213].end |
596.02221875 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
596.62971875 |
transcript.pyannote[214].end |
598.30034375 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
598.68846875 |
transcript.pyannote[215].end |
600.08909375 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
599.43096875 |
transcript.pyannote[216].end |
601.77659375 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
601.92846875 |
transcript.pyannote[217].end |
603.24471875 |
transcript.pyannote[218].speaker |
SPEAKER_01 |
transcript.pyannote[218].start |
603.24471875 |
transcript.pyannote[218].end |
603.64971875 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
603.98721875 |
transcript.pyannote[219].end |
606.83909375 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
607.02471875 |
transcript.pyannote[220].end |
607.36221875 |
transcript.pyannote[221].speaker |
SPEAKER_01 |
transcript.pyannote[221].start |
607.88534375 |
transcript.pyannote[221].end |
607.98659375 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
608.13846875 |
transcript.pyannote[222].end |
613.94346875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
614.17971875 |
transcript.pyannote[223].end |
621.19971875 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
621.38534375 |
transcript.pyannote[224].end |
623.96721875 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
621.97596875 |
transcript.pyannote[225].end |
621.99284375 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
621.99284375 |
transcript.pyannote[226].end |
622.02659375 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
622.02659375 |
transcript.pyannote[227].end |
622.07721875 |
transcript.pyannote[228].speaker |
SPEAKER_02 |
transcript.pyannote[228].start |
622.07721875 |
transcript.pyannote[228].end |
624.03471875 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
624.03471875 |
transcript.pyannote[229].end |
624.49034375 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
624.49034375 |
transcript.pyannote[230].end |
624.79409375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
624.79409375 |
transcript.pyannote[231].end |
627.10596875 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
632.30346875 |
transcript.pyannote[232].end |
633.16409375 |
transcript.whisperx[0].start |
3.41 |
transcript.whisperx[0].end |
24.109 |
transcript.whisperx[0].text |
本席長期以來對於老人的福利健康我是最關心的我們一直在推動84量表可以不要造成大家的困擾所以80歲以上免84量表就可以來聘請外來來照顧 |
transcript.whisperx[1].start |
26.522 |
transcript.whisperx[1].end |
51.418 |
transcript.whisperx[1].text |
來幫助一些年輕人啊以前有很多啊像花旗銀行的那個管理總很優秀後來他沒辦法他說你怎麼會離開職場咧他說他爸爸只有一個啊所以找不到人他就自己跳下去照顧啊那麼好的人才對不對那金融他算是很棒的一個人就是這樣的一個例子請問部長免巴士量表這個什麼時候開始實施 |
transcript.whisperx[2].start |
56.105 |
transcript.whisperx[2].end |
57.689 |
transcript.whisperx[2].text |
80歲以上的巴士量表應該是7月1號 |
transcript.whisperx[3].start |
62.58 |
transcript.whisperx[3].end |
84.423 |
transcript.whisperx[3].text |
七月底,勞動部有表達配套措施,在七月底能夠完成就可以開始了這也是一個得證,因為需要的人真的蠻多的希望多多可以加強輔導一下有需要的人不知道怎麼申請的,可以來輔導 |
transcript.whisperx[4].start |
85.464 |
transcript.whisperx[4].end |
109.71 |
transcript.whisperx[4].text |
或者是做一些宣傳宣傳一下我看到路上很多都寫一個紅布條大大的一條說全面禁止電子菸我看很多學校門口台北上端外面都有我看了很振奮我覺得那個布條要多貼可是問題貼了有沒有效果 |
transcript.whisperx[5].start |
110.819 |
transcript.whisperx[5].end |
117.084 |
transcript.whisperx[5].text |
應該有效果有效果齁那現在那個抓到抽電子菸的會怎麼處罰那要分他看他是看他是那個從源頭啦齁或者是分或者是販售或者是那個個人齁那當然我們都會按照法規的規定來來來抽電子菸會不會那個判刑 |
transcript.whisperx[6].start |
140.748 |
transcript.whisperx[6].end |
165.959 |
transcript.whisperx[6].text |
本身喔對蛤 罰款嗎他是行政長罰款 那是行政 罰款那一位先生來來 吳署長 吳署長我想在使用者使用者會怎麼樣使用者的話就是最高罰一萬罰一萬塊 是加強宣導好不好好 謝謝你說罰一萬根本沒在罰啊有啦 有啦我周邊所有人齁我遇到的從來沒有一個人被罰過是蛤 |
transcript.whisperx[7].start |
169.742 |
transcript.whisperx[7].end |
196.252 |
transcript.whisperx[7].text |
當然你會說因為我旁邊都沒有人抽電子菸啊抽到沒被訪可是有一些人有抽特別是年輕人因為本席有接觸就是士農工商年輕朋友有辦很多活動他們也不講說他有抽啦我看他手上就握了一支然後嘴巴就偷偷這樣比一下比一下後來我才知道不是在吃口香糖是在抽電子菸 |
transcript.whisperx[8].start |
198.45 |
transcript.whisperx[8].end |
222.41 |
transcript.whisperx[8].text |
像這樣子你要怎麼抓電子菸電子菸其實禍國殃民請問部長我們一直說禁電子菸全台灣有多少支電子菸有多少人吃電子菸有多少根 那個好像可以重複抽吧 |
transcript.whisperx[9].start |
223.553 |
transcript.whisperx[9].end |
252.276 |
transcript.whisperx[9].text |
電子煙請旁邊的那個有沒有統計知道你大概粗估有多少根電子煙它就是煙油加上一個載具那個煙油是可以替換載具可以寵物使用抽的時候必須要有那個就叫載具就要有那一根那一支電子煙全台灣有幾支電子煙這個沒有統計大概不知道那接著請財政部部長 |
transcript.whisperx[10].start |
254.977 |
transcript.whisperx[10].end |
282.111 |
transcript.whisperx[10].text |
部長,仿籤到處都在賣啊那重點是還有一些人從國外、日本或者是香港進來的時候欸?海關他就帶進來了啊你們抓不抓?會被處罰?超過10根、超過100根你們做什麼樣的處罰?一根就會抓 |
transcript.whisperx[11].start |
282.776 |
transcript.whisperx[11].end |
299.871 |
transcript.whisperx[11].text |
一根就會抓 抓到會怎麼樣這個部分我們是不是請我們關務署署長來說明報告委員 加熱菸的部分它是因為現在都沒有通過健康風險評估所以我們是依照這個菸害防治法 移給地方的衛生局 |
transcript.whisperx[12].start |
300.649 |
transcript.whisperx[12].end |
316.963 |
transcript.whisperx[12].text |
那抓不抓?抓那你從頭抓了多少?目前電子菸的部分已經抓了47萬多條47萬多條47萬喔?對 剛剛加熱菸的部分 我更正一下加熱菸的部分47萬47萬?是那我們一根電子菸多少錢?大概 電子菸喔 |
transcript.whisperx[13].start |
328.588 |
transcript.whisperx[13].end |
346.576 |
transcript.whisperx[13].text |
我看很多人就是想辦法在國外買了以後,帶回來賣啊那為什麼他會帶回來賣?有利可圖啊就是他可能在國外,甚至國外的免稅商店都有在販售他可能買一支,一支大概多少錢?要不要一百塊? |
transcript.whisperx[14].start |
355.534 |
transcript.whisperx[14].end |
367.231 |
transcript.whisperx[14].text |
一根起碼我覺得應該是一千塊以上不曉得對不對有沒有官員知道後面有人點頭一根多少錢那個戴口罩那位美女 |
transcript.whisperx[15].start |
370.874 |
transcript.whisperx[15].end |
390.046 |
transcript.whisperx[15].text |
這個各個國家賣的不太一樣那是以加熱煙的載具的話加熱煙的載具大概在800到1200電子煙的載具就比較便宜我猜對了你看大概1000電子煙的載具更便宜那他1000他帶回來在這個私底下這樣販售可以賺多少錢 |
transcript.whisperx[16].start |
392.762 |
transcript.whisperx[16].end |
410.515 |
transcript.whisperx[16].text |
以目前台灣的電子煙的那個載具在販售的話那從兩千塊到六千塊都有你看兩千六千所以他走私一根他賣一根就可以賺兩根啊這個利潤很高啊比去賣血還好賺 |
transcript.whisperx[17].start |
413.51 |
transcript.whisperx[17].end |
442.091 |
transcript.whisperx[17].text |
所以這個要從源頭看看怎麼樣如果是覺得說電子煙不好對下一代是一種強害是對我們的國民健康是有影響的大家要動起來特別麻煩莊部長那邊要好好處理一下平台你們要去好好整頓一下新加坡新加坡應該就沒有 |
transcript.whisperx[18].start |
443.565 |
transcript.whisperx[18].end |
470.763 |
transcript.whisperx[18].text |
嚴刑峻罰嘛七十八年吃口香腸你吐在路上馬上都被抓而且處罰嚴格所以接著請莊部長這部分麻煩你再想一下我現在那個其他人可以回去謝謝那部長我問一下現在的美國的關稅戰因為海關關稅這個都你管的現在情況到底怎麼樣 |
transcript.whisperx[19].start |
472.359 |
transcript.whisperx[19].end |
492.841 |
transcript.whisperx[19].text |
還有沒有在談?還是我們已經通過檢驗了?對等關稅的部分行政院會有政府院長還有OTN他們在跟美國持續的而且密切的在溝通當中那上一次談是什麼時候?談的情況還好嗎? |
transcript.whisperx[20].start |
495.505 |
transcript.whisperx[20].end |
516.723 |
transcript.whisperx[20].text |
我想這個部分基於雙方的一個默契還不便對外說明那在適當時機的時候才會說明那談的時候你有沒有去參與過我想這個部分也不好在這邊說也是秘密喔秘密好多耶全國的民眾都不曉得秘密的答案是什麼我們就每天 |
transcript.whisperx[21].start |
519.105 |
transcript.whisperx[21].end |
535.213 |
transcript.whisperx[21].text |
整個待旦然後一些企業中小企業都不曉得怎麼辦是要等三個月過還是要折磨半年到一年通通不知道我想我們的談判小組一定會就國家整體的考量為國內以及產業爭取一個最大的利益對啊那問題是這些企業怎麼生存 |
transcript.whisperx[22].start |
547.922 |
transcript.whisperx[22].end |
572.17 |
transcript.whisperx[22].text |
其實大家都很苦,不曉得怎麼辦政府也提出了支持方案,我想在這個部分也編列了特別預算要在陳情大院這邊來做審議你們編預算他們都還沒領到啊是因為預算還沒有過啊,特別預算一直還沒有審議過啊所有預算都這樣,大家一直在等那個一人領一萬的普發現金等到現在錢也還沒下來 |
transcript.whisperx[23].start |
574.177 |
transcript.whisperx[23].end |
583.263 |
transcript.whisperx[23].text |
我講你要動起來啦,我們每個人都希望說政府要多多照顧去年稅收超徵5280億,不是沒錢啊是,所以政府也編列了相關的醫療支持措施你出去有機會去吃一下魷魚羹跟那個炒米粉 |
transcript.whisperx[24].start |
596.673 |
transcript.whisperx[24].end |
618.844 |
transcript.whisperx[24].text |
你知道現在一桌要多少錢嗎一桌就是一碗羹加一碗炒米粉以前我吃大概五六十塊,現在一百四十塊有空你去吃吃看所以一萬塊普發先輕還是有它的必要性通貨膨脹、物價飆漲、人民苦哈拜託部長也多講講好話多多動起來,謝謝 |
transcript.whisperx[25].start |
623.031 |
transcript.whisperx[25].end |
626.157 |
transcript.whisperx[25].text |
好 謝謝羅明財委員的質詢下一位請陳昭志委員質詢請 |