| IVOD_ID |
160484 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160484 |
| 日期 |
2025-04-23 |
| 會議資料.會議代碼 |
委員會-11-3-20-9 |
| 會議資料.會議代碼:str |
第11屆第3會期財政委員會第9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 |
9 |
| 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9次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-04-23T10:11:58+08:00 |
| 結束時間 |
2025-04-23T10:25:16+08:00 |
| 影片長度 |
00:13:18 |
| 支援功能[0] |
ai-transcript |
| 支援功能[1] |
gazette |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/27ac2f54fdf75cc0bf8b8ea9c6d1a114c0f390e692fb4f2487b5e96e7cd6ee72672d3be51d7c13475ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
賴士葆 |
| 委員發言時間 |
10:11:58 - 10:25:16 |
| 會議時間 |
2025-04-23T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期財政委員會第9次全體委員會議(事由:一、審查「貨物稅條例」34案:
(一) 本院委員葉元之等21人擬具「貨物稅條例刪除部分條文草案」案。
(二) 本院委員廖先翔等16人擬具「貨物稅條例刪除第八條條文草案」案。
(三) 本院台灣民眾黨黨團擬具「貨物稅條例第十一條、第十一條之一及第三十七條條文修正草案」案。
(四) 本院委員邱若華等20人擬具「貨物稅條例第十一條條文修正草案」案。
(五) 本院委員魯明哲等16人、委員顏寬恒等19人、委員羅廷瑋等16人、委員賴士葆等21人、委員邱鎮軍等22人、委員徐欣瑩等27人、委員翁曉玲等17人、委員羅明才等16人、委員郭國文等17人、委員王鴻薇等24人、委員廖偉翔等17人、委員許宇甄等21人、委員黃建賓等16人、委員林思銘等21人、委員萬美玲等16人分別擬具「貨物稅條例第十一條之一條文修正草案」等15案。
(六) 本院委員李坤城等24人擬具「貨物稅條例第十一條之一、第十二條之五及第十二條之六條文修正草案」案。
(七) 本院委員鄭天財Sra Kacaw等19人、委員林思銘等19人、委員涂權吉等17人、委員陳玉珍等19人、委員馬文君等18人、委員王世堅等19人、委員張智倫等25人、委員魯明哲等16人、委員王鴻薇等19人、委員楊瓊瓔等20人、委員邱鎮軍等24人、委員萬美玲等18人、委員廖偉翔等17人分別擬具「貨物稅條例第十二條條文修正草案」等13案。
(八) 本院委員邱鎮軍等19人擬具「貨物稅條例第十二條之三條文修正草案」案。
二、審查人民請願案有關「貨物稅條例」7案。) |
| transcript.pyannote[0].speaker |
SPEAKER_02 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
0.45284375 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
1.07721875 |
| transcript.pyannote[1].end |
3.96284375 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
4.92471875 |
| transcript.pyannote[2].end |
6.81471875 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
10.37534375 |
| transcript.pyannote[3].end |
16.60221875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
13.78409375 |
| transcript.pyannote[4].end |
14.08784375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
16.78784375 |
| transcript.pyannote[5].end |
17.74971875 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
17.15909375 |
| transcript.pyannote[6].end |
24.06096875 |
| transcript.pyannote[7].speaker |
SPEAKER_02 |
| transcript.pyannote[7].start |
24.38159375 |
| transcript.pyannote[7].end |
28.48221875 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
29.05596875 |
| transcript.pyannote[8].end |
32.73471875 |
| transcript.pyannote[9].speaker |
SPEAKER_02 |
| transcript.pyannote[9].start |
33.29159375 |
| transcript.pyannote[9].end |
35.92409375 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
36.83534375 |
| transcript.pyannote[10].end |
38.50596875 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
39.23159375 |
| transcript.pyannote[11].end |
40.96971875 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
41.52659375 |
| transcript.pyannote[12].end |
42.11721875 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
42.75846875 |
| transcript.pyannote[13].end |
43.80471875 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
44.31096875 |
| transcript.pyannote[14].end |
46.25159375 |
| transcript.pyannote[15].speaker |
SPEAKER_02 |
| transcript.pyannote[15].start |
46.38659375 |
| transcript.pyannote[15].end |
47.33159375 |
| transcript.pyannote[16].speaker |
SPEAKER_02 |
| transcript.pyannote[16].start |
47.88846875 |
| transcript.pyannote[16].end |
50.45346875 |
| transcript.pyannote[17].speaker |
SPEAKER_02 |
| transcript.pyannote[17].start |
51.39846875 |
| transcript.pyannote[17].end |
52.09034375 |
| transcript.pyannote[18].speaker |
SPEAKER_02 |
| transcript.pyannote[18].start |
52.56284375 |
| transcript.pyannote[18].end |
55.41471875 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
56.02221875 |
| transcript.pyannote[19].end |
56.98409375 |
| transcript.pyannote[20].speaker |
SPEAKER_02 |
| transcript.pyannote[20].start |
57.60846875 |
| transcript.pyannote[20].end |
60.32534375 |
| transcript.pyannote[21].speaker |
SPEAKER_02 |
| transcript.pyannote[21].start |
60.91596875 |
| transcript.pyannote[21].end |
62.75534375 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
63.68346875 |
| transcript.pyannote[22].end |
64.40909375 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
66.07971875 |
| transcript.pyannote[23].end |
66.18096875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
66.18096875 |
| transcript.pyannote[24].end |
66.41721875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
68.12159375 |
| transcript.pyannote[25].end |
69.33659375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
70.68659375 |
| transcript.pyannote[26].end |
76.05284375 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
75.78284375 |
| transcript.pyannote[27].end |
82.21221875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
76.06971875 |
| transcript.pyannote[28].end |
76.12034375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
76.18784375 |
| transcript.pyannote[29].end |
76.23846875 |
| transcript.pyannote[30].speaker |
SPEAKER_02 |
| transcript.pyannote[30].start |
82.73534375 |
| transcript.pyannote[30].end |
83.83221875 |
| transcript.pyannote[31].speaker |
SPEAKER_02 |
| transcript.pyannote[31].start |
84.55784375 |
| transcript.pyannote[31].end |
86.51534375 |
| transcript.pyannote[32].speaker |
SPEAKER_02 |
| transcript.pyannote[32].start |
87.52784375 |
| transcript.pyannote[32].end |
89.82284375 |
| transcript.pyannote[33].speaker |
SPEAKER_02 |
| transcript.pyannote[33].start |
90.46409375 |
| transcript.pyannote[33].end |
96.38721875 |
| transcript.pyannote[34].speaker |
SPEAKER_02 |
| transcript.pyannote[34].start |
97.11284375 |
| transcript.pyannote[34].end |
99.18846875 |
| transcript.pyannote[35].speaker |
SPEAKER_02 |
| transcript.pyannote[35].start |
99.54284375 |
| transcript.pyannote[35].end |
103.06971875 |
| transcript.pyannote[36].speaker |
SPEAKER_02 |
| transcript.pyannote[36].start |
103.15409375 |
| transcript.pyannote[36].end |
105.49971875 |
| transcript.pyannote[37].speaker |
SPEAKER_02 |
| transcript.pyannote[37].start |
106.00596875 |
| transcript.pyannote[37].end |
116.01284375 |
| transcript.pyannote[38].speaker |
SPEAKER_02 |
| transcript.pyannote[38].start |
116.21534375 |
| transcript.pyannote[38].end |
119.62409375 |
| transcript.pyannote[39].speaker |
SPEAKER_02 |
| transcript.pyannote[39].start |
120.01221875 |
| transcript.pyannote[39].end |
124.39971875 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
125.36159375 |
| transcript.pyannote[40].end |
125.85096875 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
126.18846875 |
| transcript.pyannote[41].end |
128.09534375 |
| transcript.pyannote[42].speaker |
SPEAKER_02 |
| transcript.pyannote[42].start |
128.66909375 |
| transcript.pyannote[42].end |
129.78284375 |
| transcript.pyannote[43].speaker |
SPEAKER_02 |
| transcript.pyannote[43].start |
130.57596875 |
| transcript.pyannote[43].end |
132.46596875 |
| transcript.pyannote[44].speaker |
SPEAKER_02 |
| transcript.pyannote[44].start |
132.75284375 |
| transcript.pyannote[44].end |
134.81159375 |
| transcript.pyannote[45].speaker |
SPEAKER_02 |
| transcript.pyannote[45].start |
134.91284375 |
| transcript.pyannote[45].end |
140.68409375 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
140.95409375 |
| transcript.pyannote[46].end |
141.78096875 |
| transcript.pyannote[47].speaker |
SPEAKER_02 |
| transcript.pyannote[47].start |
142.55721875 |
| transcript.pyannote[47].end |
142.94534375 |
| transcript.pyannote[48].speaker |
SPEAKER_02 |
| transcript.pyannote[48].start |
143.50221875 |
| transcript.pyannote[48].end |
145.59471875 |
| transcript.pyannote[49].speaker |
SPEAKER_02 |
| transcript.pyannote[49].start |
145.69596875 |
| transcript.pyannote[49].end |
148.02471875 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
148.09221875 |
| transcript.pyannote[50].end |
150.01596875 |
| transcript.pyannote[51].speaker |
SPEAKER_02 |
| transcript.pyannote[51].start |
150.60659375 |
| transcript.pyannote[51].end |
152.15909375 |
| transcript.pyannote[52].speaker |
SPEAKER_02 |
| transcript.pyannote[52].start |
153.03659375 |
| transcript.pyannote[52].end |
154.40346875 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
155.14596875 |
| transcript.pyannote[53].end |
156.66471875 |
| transcript.pyannote[54].speaker |
SPEAKER_02 |
| transcript.pyannote[54].start |
157.15409375 |
| transcript.pyannote[54].end |
159.56721875 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
159.88784375 |
| transcript.pyannote[55].end |
161.13659375 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
161.47409375 |
| transcript.pyannote[56].end |
165.00096875 |
| transcript.pyannote[57].speaker |
SPEAKER_02 |
| transcript.pyannote[57].start |
165.37221875 |
| transcript.pyannote[57].end |
166.40159375 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
166.72221875 |
| transcript.pyannote[58].end |
167.93721875 |
| transcript.pyannote[59].speaker |
SPEAKER_02 |
| transcript.pyannote[59].start |
168.57846875 |
| transcript.pyannote[59].end |
169.89471875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
169.89471875 |
| transcript.pyannote[60].end |
170.01284375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
170.43471875 |
| transcript.pyannote[61].end |
178.60221875 |
| transcript.pyannote[62].speaker |
SPEAKER_02 |
| transcript.pyannote[62].start |
176.05409375 |
| transcript.pyannote[62].end |
178.73721875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
178.73721875 |
| transcript.pyannote[63].end |
178.80471875 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
178.80471875 |
| transcript.pyannote[64].end |
178.85534375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
178.85534375 |
| transcript.pyannote[65].end |
178.99034375 |
| transcript.pyannote[66].speaker |
SPEAKER_02 |
| transcript.pyannote[66].start |
178.99034375 |
| transcript.pyannote[66].end |
187.64721875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
179.20971875 |
| transcript.pyannote[67].end |
179.53034375 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
187.71471875 |
| transcript.pyannote[68].end |
187.73159375 |
| transcript.pyannote[69].speaker |
SPEAKER_02 |
| transcript.pyannote[69].start |
187.76534375 |
| transcript.pyannote[69].end |
203.64471875 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
204.18471875 |
| transcript.pyannote[70].end |
206.54721875 |
| transcript.pyannote[71].speaker |
SPEAKER_02 |
| transcript.pyannote[71].start |
206.71596875 |
| transcript.pyannote[71].end |
208.74096875 |
| transcript.pyannote[72].speaker |
SPEAKER_02 |
| transcript.pyannote[72].start |
209.02784375 |
| transcript.pyannote[72].end |
213.36471875 |
| transcript.pyannote[73].speaker |
SPEAKER_02 |
| transcript.pyannote[73].start |
213.87096875 |
| transcript.pyannote[73].end |
215.33909375 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
215.54159375 |
| transcript.pyannote[74].end |
220.60409375 |
| transcript.pyannote[75].speaker |
SPEAKER_02 |
| transcript.pyannote[75].start |
221.27909375 |
| transcript.pyannote[75].end |
228.99096875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
223.05096875 |
| transcript.pyannote[76].end |
223.08471875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
223.10159375 |
| transcript.pyannote[77].end |
223.60784375 |
| transcript.pyannote[78].speaker |
SPEAKER_02 |
| transcript.pyannote[78].start |
229.17659375 |
| transcript.pyannote[78].end |
230.34096875 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
230.67846875 |
| transcript.pyannote[79].end |
231.18471875 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
232.55159375 |
| transcript.pyannote[80].end |
236.09534375 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
236.48346875 |
| transcript.pyannote[81].end |
237.04034375 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
238.39034375 |
| transcript.pyannote[82].end |
239.74034375 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
240.12846875 |
| transcript.pyannote[83].end |
241.66409375 |
| transcript.pyannote[84].speaker |
SPEAKER_02 |
| transcript.pyannote[84].start |
241.96784375 |
| transcript.pyannote[84].end |
243.11534375 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
243.75659375 |
| transcript.pyannote[85].end |
245.03909375 |
| transcript.pyannote[86].speaker |
SPEAKER_02 |
| transcript.pyannote[86].start |
246.00096875 |
| transcript.pyannote[86].end |
246.47346875 |
| transcript.pyannote[87].speaker |
SPEAKER_02 |
| transcript.pyannote[87].start |
246.82784375 |
| transcript.pyannote[87].end |
247.58721875 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
248.48159375 |
| transcript.pyannote[88].end |
260.26034375 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
260.68221875 |
| transcript.pyannote[89].end |
262.63971875 |
| transcript.pyannote[90].speaker |
SPEAKER_02 |
| transcript.pyannote[90].start |
263.06159375 |
| transcript.pyannote[90].end |
264.52971875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
265.50846875 |
| transcript.pyannote[91].end |
267.11159375 |
| transcript.pyannote[92].speaker |
SPEAKER_02 |
| transcript.pyannote[92].start |
267.55034375 |
| transcript.pyannote[92].end |
268.74846875 |
| transcript.pyannote[93].speaker |
SPEAKER_02 |
| transcript.pyannote[93].start |
269.10284375 |
| transcript.pyannote[93].end |
272.76471875 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
272.96721875 |
| transcript.pyannote[94].end |
273.52409375 |
| transcript.pyannote[95].speaker |
SPEAKER_02 |
| transcript.pyannote[95].start |
274.03034375 |
| transcript.pyannote[95].end |
275.14409375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
276.32534375 |
| transcript.pyannote[96].end |
276.93284375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
277.18596875 |
| transcript.pyannote[97].end |
278.28284375 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
278.63721875 |
| transcript.pyannote[98].end |
280.83096875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
281.92784375 |
| transcript.pyannote[99].end |
285.11721875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
285.13409375 |
| transcript.pyannote[100].end |
285.15096875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
285.20159375 |
| transcript.pyannote[101].end |
286.12971875 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
285.42096875 |
| transcript.pyannote[102].end |
286.70346875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
287.63159375 |
| transcript.pyannote[103].end |
291.39471875 |
| transcript.pyannote[104].speaker |
SPEAKER_02 |
| transcript.pyannote[104].start |
292.20471875 |
| transcript.pyannote[104].end |
296.13659375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
292.47471875 |
| transcript.pyannote[105].end |
293.75721875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
297.04784375 |
| transcript.pyannote[106].end |
302.07659375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
302.21159375 |
| transcript.pyannote[107].end |
302.88659375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
303.08909375 |
| transcript.pyannote[108].end |
304.70909375 |
| transcript.pyannote[109].speaker |
SPEAKER_02 |
| transcript.pyannote[109].start |
304.50659375 |
| transcript.pyannote[109].end |
306.90284375 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
307.07159375 |
| transcript.pyannote[110].end |
308.25284375 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
309.78846875 |
| transcript.pyannote[111].end |
312.35346875 |
| transcript.pyannote[112].speaker |
SPEAKER_02 |
| transcript.pyannote[112].start |
313.28159375 |
| transcript.pyannote[112].end |
315.45846875 |
| transcript.pyannote[113].speaker |
SPEAKER_02 |
| transcript.pyannote[113].start |
316.62284375 |
| transcript.pyannote[113].end |
317.83784375 |
| transcript.pyannote[114].speaker |
SPEAKER_02 |
| transcript.pyannote[114].start |
318.44534375 |
| transcript.pyannote[114].end |
319.72784375 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
319.89659375 |
| transcript.pyannote[115].end |
321.33096875 |
| transcript.pyannote[116].speaker |
SPEAKER_02 |
| transcript.pyannote[116].start |
322.49534375 |
| transcript.pyannote[116].end |
323.84534375 |
| transcript.pyannote[117].speaker |
SPEAKER_02 |
| transcript.pyannote[117].start |
324.28409375 |
| transcript.pyannote[117].end |
325.83659375 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
326.42721875 |
| transcript.pyannote[118].end |
328.03034375 |
| transcript.pyannote[119].speaker |
SPEAKER_02 |
| transcript.pyannote[119].start |
329.43096875 |
| transcript.pyannote[119].end |
329.81909375 |
| transcript.pyannote[120].speaker |
SPEAKER_02 |
| transcript.pyannote[120].start |
330.12284375 |
| transcript.pyannote[120].end |
337.93596875 |
| transcript.pyannote[121].speaker |
SPEAKER_02 |
| transcript.pyannote[121].start |
337.96971875 |
| transcript.pyannote[121].end |
338.03721875 |
| transcript.pyannote[122].speaker |
SPEAKER_02 |
| transcript.pyannote[122].start |
338.18909375 |
| transcript.pyannote[122].end |
340.43346875 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
341.32784375 |
| transcript.pyannote[123].end |
342.82971875 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
343.69034375 |
| transcript.pyannote[124].end |
345.90096875 |
| transcript.pyannote[125].speaker |
SPEAKER_02 |
| transcript.pyannote[125].start |
346.06971875 |
| transcript.pyannote[125].end |
346.94721875 |
| transcript.pyannote[126].speaker |
SPEAKER_02 |
| transcript.pyannote[126].start |
347.23409375 |
| transcript.pyannote[126].end |
348.60096875 |
| transcript.pyannote[127].speaker |
SPEAKER_02 |
| transcript.pyannote[127].start |
349.07346875 |
| transcript.pyannote[127].end |
351.25034375 |
| transcript.pyannote[128].speaker |
SPEAKER_02 |
| transcript.pyannote[128].start |
353.49471875 |
| transcript.pyannote[128].end |
354.20346875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
355.78971875 |
| transcript.pyannote[129].end |
359.77221875 |
| transcript.pyannote[130].speaker |
SPEAKER_02 |
| transcript.pyannote[130].start |
359.77221875 |
| transcript.pyannote[130].end |
361.69596875 |
| transcript.pyannote[131].speaker |
SPEAKER_02 |
| transcript.pyannote[131].start |
362.16846875 |
| transcript.pyannote[131].end |
366.21846875 |
| transcript.pyannote[132].speaker |
SPEAKER_02 |
| transcript.pyannote[132].start |
366.45471875 |
| transcript.pyannote[132].end |
373.67721875 |
| transcript.pyannote[133].speaker |
SPEAKER_02 |
| transcript.pyannote[133].start |
373.93034375 |
| transcript.pyannote[133].end |
375.14534375 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
376.39409375 |
| transcript.pyannote[134].end |
384.73034375 |
| transcript.pyannote[135].speaker |
SPEAKER_02 |
| transcript.pyannote[135].start |
384.64596875 |
| transcript.pyannote[135].end |
384.71346875 |
| transcript.pyannote[136].speaker |
SPEAKER_02 |
| transcript.pyannote[136].start |
384.73034375 |
| transcript.pyannote[136].end |
387.70034375 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
384.83159375 |
| transcript.pyannote[137].end |
384.86534375 |
| transcript.pyannote[138].speaker |
SPEAKER_02 |
| transcript.pyannote[138].start |
388.20659375 |
| transcript.pyannote[138].end |
390.13034375 |
| transcript.pyannote[139].speaker |
SPEAKER_02 |
| transcript.pyannote[139].start |
391.32846875 |
| transcript.pyannote[139].end |
393.52221875 |
| transcript.pyannote[140].speaker |
SPEAKER_02 |
| transcript.pyannote[140].start |
393.70784375 |
| transcript.pyannote[140].end |
394.95659375 |
| transcript.pyannote[141].speaker |
SPEAKER_02 |
| transcript.pyannote[141].start |
395.47971875 |
| transcript.pyannote[141].end |
396.44159375 |
| transcript.pyannote[142].speaker |
SPEAKER_02 |
| transcript.pyannote[142].start |
397.28534375 |
| transcript.pyannote[142].end |
399.07409375 |
| transcript.pyannote[143].speaker |
SPEAKER_02 |
| transcript.pyannote[143].start |
399.31034375 |
| transcript.pyannote[143].end |
400.60971875 |
| transcript.pyannote[144].speaker |
SPEAKER_02 |
| transcript.pyannote[144].start |
402.70221875 |
| transcript.pyannote[144].end |
403.78221875 |
| transcript.pyannote[145].speaker |
SPEAKER_02 |
| transcript.pyannote[145].start |
404.17034375 |
| transcript.pyannote[145].end |
406.81971875 |
| transcript.pyannote[146].speaker |
SPEAKER_02 |
| transcript.pyannote[146].start |
407.14034375 |
| transcript.pyannote[146].end |
408.08534375 |
| transcript.pyannote[147].speaker |
SPEAKER_02 |
| transcript.pyannote[147].start |
409.41846875 |
| transcript.pyannote[147].end |
409.80659375 |
| transcript.pyannote[148].speaker |
SPEAKER_02 |
| transcript.pyannote[148].start |
410.17784375 |
| transcript.pyannote[148].end |
412.50659375 |
| transcript.pyannote[149].speaker |
SPEAKER_02 |
| transcript.pyannote[149].start |
412.81034375 |
| transcript.pyannote[149].end |
414.90284375 |
| transcript.pyannote[150].speaker |
SPEAKER_02 |
| transcript.pyannote[150].start |
415.69596875 |
| transcript.pyannote[150].end |
416.30346875 |
| transcript.pyannote[151].speaker |
SPEAKER_02 |
| transcript.pyannote[151].start |
417.34971875 |
| transcript.pyannote[151].end |
417.97409375 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
417.45096875 |
| transcript.pyannote[152].end |
419.96534375 |
| transcript.pyannote[153].speaker |
SPEAKER_02 |
| transcript.pyannote[153].start |
419.37471875 |
| transcript.pyannote[153].end |
421.04534375 |
| transcript.pyannote[154].speaker |
SPEAKER_02 |
| transcript.pyannote[154].start |
421.38284375 |
| transcript.pyannote[154].end |
422.80034375 |
| transcript.pyannote[155].speaker |
SPEAKER_02 |
| transcript.pyannote[155].start |
423.17159375 |
| transcript.pyannote[155].end |
425.31471875 |
| transcript.pyannote[156].speaker |
SPEAKER_00 |
| transcript.pyannote[156].start |
428.67284375 |
| transcript.pyannote[156].end |
432.45284375 |
| transcript.pyannote[157].speaker |
SPEAKER_02 |
| transcript.pyannote[157].start |
431.81159375 |
| transcript.pyannote[157].end |
434.22471875 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
434.22471875 |
| transcript.pyannote[158].end |
434.24159375 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
435.05159375 |
| transcript.pyannote[159].end |
436.08096875 |
| transcript.pyannote[160].speaker |
SPEAKER_00 |
| transcript.pyannote[160].start |
436.51971875 |
| transcript.pyannote[160].end |
436.82346875 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
437.76846875 |
| transcript.pyannote[161].end |
440.73846875 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
441.61596875 |
| transcript.pyannote[162].end |
445.90221875 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
446.10471875 |
| transcript.pyannote[163].end |
457.24221875 |
| transcript.pyannote[164].speaker |
SPEAKER_02 |
| transcript.pyannote[164].start |
458.25471875 |
| transcript.pyannote[164].end |
458.98034375 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
458.98034375 |
| transcript.pyannote[165].end |
459.33471875 |
| transcript.pyannote[166].speaker |
SPEAKER_02 |
| transcript.pyannote[166].start |
459.03096875 |
| transcript.pyannote[166].end |
459.26721875 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
460.02659375 |
| transcript.pyannote[167].end |
460.76909375 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
461.07284375 |
| transcript.pyannote[168].end |
464.58284375 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
464.61659375 |
| transcript.pyannote[169].end |
464.66721875 |
| transcript.pyannote[170].speaker |
SPEAKER_02 |
| transcript.pyannote[170].start |
464.73471875 |
| transcript.pyannote[170].end |
467.13096875 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
467.40096875 |
| transcript.pyannote[171].end |
468.14346875 |
| transcript.pyannote[172].speaker |
SPEAKER_02 |
| transcript.pyannote[172].start |
467.85659375 |
| transcript.pyannote[172].end |
471.65346875 |
| transcript.pyannote[173].speaker |
SPEAKER_02 |
| transcript.pyannote[173].start |
472.02471875 |
| transcript.pyannote[173].end |
472.98659375 |
| transcript.pyannote[174].speaker |
SPEAKER_02 |
| transcript.pyannote[174].start |
473.40846875 |
| transcript.pyannote[174].end |
480.46221875 |
| transcript.pyannote[175].speaker |
SPEAKER_02 |
| transcript.pyannote[175].start |
480.81659375 |
| transcript.pyannote[175].end |
482.60534375 |
| transcript.pyannote[176].speaker |
SPEAKER_02 |
| transcript.pyannote[176].start |
483.02721875 |
| transcript.pyannote[176].end |
486.89159375 |
| transcript.pyannote[177].speaker |
SPEAKER_02 |
| transcript.pyannote[177].start |
486.90846875 |
| transcript.pyannote[177].end |
488.30909375 |
| transcript.pyannote[178].speaker |
SPEAKER_02 |
| transcript.pyannote[178].start |
489.32159375 |
| transcript.pyannote[178].end |
492.66284375 |
| transcript.pyannote[179].speaker |
SPEAKER_02 |
| transcript.pyannote[179].start |
493.60784375 |
| transcript.pyannote[179].end |
494.63721875 |
| transcript.pyannote[180].speaker |
SPEAKER_02 |
| transcript.pyannote[180].start |
495.56534375 |
| transcript.pyannote[180].end |
496.42596875 |
| transcript.pyannote[181].speaker |
SPEAKER_02 |
| transcript.pyannote[181].start |
496.64534375 |
| transcript.pyannote[181].end |
497.33721875 |
| transcript.pyannote[182].speaker |
SPEAKER_02 |
| transcript.pyannote[182].start |
498.07971875 |
| transcript.pyannote[182].end |
500.52659375 |
| transcript.pyannote[183].speaker |
SPEAKER_02 |
| transcript.pyannote[183].start |
500.71221875 |
| transcript.pyannote[183].end |
502.38284375 |
| transcript.pyannote[184].speaker |
SPEAKER_02 |
| transcript.pyannote[184].start |
503.78346875 |
| transcript.pyannote[184].end |
504.10409375 |
| transcript.pyannote[185].speaker |
SPEAKER_00 |
| transcript.pyannote[185].start |
504.28971875 |
| transcript.pyannote[185].end |
504.47534375 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
504.91409375 |
| transcript.pyannote[186].end |
505.42034375 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
505.92659375 |
| transcript.pyannote[187].end |
510.24659375 |
| transcript.pyannote[188].speaker |
SPEAKER_02 |
| transcript.pyannote[188].start |
508.86284375 |
| transcript.pyannote[188].end |
509.43659375 |
| transcript.pyannote[189].speaker |
SPEAKER_02 |
| transcript.pyannote[189].start |
510.17909375 |
| transcript.pyannote[189].end |
510.90471875 |
| transcript.pyannote[190].speaker |
SPEAKER_02 |
| transcript.pyannote[190].start |
511.47846875 |
| transcript.pyannote[190].end |
513.18284375 |
| transcript.pyannote[191].speaker |
SPEAKER_02 |
| transcript.pyannote[191].start |
513.55409375 |
| transcript.pyannote[191].end |
515.62971875 |
| transcript.pyannote[192].speaker |
SPEAKER_02 |
| transcript.pyannote[192].start |
516.67596875 |
| transcript.pyannote[192].end |
519.94971875 |
| transcript.pyannote[193].speaker |
SPEAKER_02 |
| transcript.pyannote[193].start |
520.42221875 |
| transcript.pyannote[193].end |
522.05909375 |
| transcript.pyannote[194].speaker |
SPEAKER_02 |
| transcript.pyannote[194].start |
522.54846875 |
| transcript.pyannote[194].end |
526.56471875 |
| transcript.pyannote[195].speaker |
SPEAKER_02 |
| transcript.pyannote[195].start |
526.63221875 |
| transcript.pyannote[195].end |
527.59409375 |
| transcript.pyannote[196].speaker |
SPEAKER_02 |
| transcript.pyannote[196].start |
527.69534375 |
| transcript.pyannote[196].end |
532.09971875 |
| transcript.pyannote[197].speaker |
SPEAKER_02 |
| transcript.pyannote[197].start |
532.48784375 |
| transcript.pyannote[197].end |
537.09471875 |
| transcript.pyannote[198].speaker |
SPEAKER_02 |
| transcript.pyannote[198].start |
537.43221875 |
| transcript.pyannote[198].end |
540.43596875 |
| transcript.pyannote[199].speaker |
SPEAKER_02 |
| transcript.pyannote[199].start |
540.55409375 |
| transcript.pyannote[199].end |
546.05534375 |
| transcript.pyannote[200].speaker |
SPEAKER_02 |
| transcript.pyannote[200].start |
546.62909375 |
| transcript.pyannote[200].end |
547.62471875 |
| transcript.pyannote[201].speaker |
SPEAKER_02 |
| transcript.pyannote[201].start |
547.77659375 |
| transcript.pyannote[201].end |
549.41346875 |
| transcript.pyannote[202].speaker |
SPEAKER_02 |
| transcript.pyannote[202].start |
549.59909375 |
| transcript.pyannote[202].end |
551.80971875 |
| transcript.pyannote[203].speaker |
SPEAKER_02 |
| transcript.pyannote[203].start |
552.23159375 |
| transcript.pyannote[203].end |
553.39596875 |
| transcript.pyannote[204].speaker |
SPEAKER_02 |
| transcript.pyannote[204].start |
553.88534375 |
| transcript.pyannote[204].end |
555.55596875 |
| transcript.pyannote[205].speaker |
SPEAKER_02 |
| transcript.pyannote[205].start |
556.77096875 |
| transcript.pyannote[205].end |
558.10409375 |
| transcript.pyannote[206].speaker |
SPEAKER_02 |
| transcript.pyannote[206].start |
558.62721875 |
| transcript.pyannote[206].end |
559.92659375 |
| transcript.pyannote[207].speaker |
SPEAKER_02 |
| transcript.pyannote[207].start |
560.17971875 |
| transcript.pyannote[207].end |
560.63534375 |
| transcript.pyannote[208].speaker |
SPEAKER_02 |
| transcript.pyannote[208].start |
560.66909375 |
| transcript.pyannote[208].end |
562.10346875 |
| transcript.pyannote[209].speaker |
SPEAKER_02 |
| transcript.pyannote[209].start |
562.71096875 |
| transcript.pyannote[209].end |
564.70221875 |
| transcript.pyannote[210].speaker |
SPEAKER_02 |
| transcript.pyannote[210].start |
564.93846875 |
| transcript.pyannote[210].end |
566.13659375 |
| transcript.pyannote[211].speaker |
SPEAKER_02 |
| transcript.pyannote[211].start |
566.49096875 |
| transcript.pyannote[211].end |
567.57096875 |
| transcript.pyannote[212].speaker |
SPEAKER_02 |
| transcript.pyannote[212].start |
568.12784375 |
| transcript.pyannote[212].end |
569.68034375 |
| transcript.pyannote[213].speaker |
SPEAKER_02 |
| transcript.pyannote[213].start |
569.88284375 |
| transcript.pyannote[213].end |
570.84471875 |
| transcript.pyannote[214].speaker |
SPEAKER_02 |
| transcript.pyannote[214].start |
571.94159375 |
| transcript.pyannote[214].end |
573.59534375 |
| transcript.pyannote[215].speaker |
SPEAKER_02 |
| transcript.pyannote[215].start |
573.91596875 |
| transcript.pyannote[215].end |
575.70471875 |
| transcript.pyannote[216].speaker |
SPEAKER_02 |
| transcript.pyannote[216].start |
575.99159375 |
| transcript.pyannote[216].end |
577.61159375 |
| transcript.pyannote[217].speaker |
SPEAKER_02 |
| transcript.pyannote[217].start |
578.32034375 |
| transcript.pyannote[217].end |
579.16409375 |
| transcript.pyannote[218].speaker |
SPEAKER_02 |
| transcript.pyannote[218].start |
580.26096875 |
| transcript.pyannote[218].end |
581.54346875 |
| transcript.pyannote[219].speaker |
SPEAKER_02 |
| transcript.pyannote[219].start |
582.64034375 |
| transcript.pyannote[219].end |
583.02846875 |
| transcript.pyannote[220].speaker |
SPEAKER_01 |
| transcript.pyannote[220].start |
583.02846875 |
| transcript.pyannote[220].end |
583.53471875 |
| transcript.pyannote[221].speaker |
SPEAKER_01 |
| transcript.pyannote[221].start |
585.22221875 |
| transcript.pyannote[221].end |
596.66346875 |
| transcript.pyannote[222].speaker |
SPEAKER_02 |
| transcript.pyannote[222].start |
595.51596875 |
| transcript.pyannote[222].end |
596.07284375 |
| transcript.pyannote[223].speaker |
SPEAKER_02 |
| transcript.pyannote[223].start |
596.27534375 |
| transcript.pyannote[223].end |
601.00034375 |
| transcript.pyannote[224].speaker |
SPEAKER_02 |
| transcript.pyannote[224].start |
601.37159375 |
| transcript.pyannote[224].end |
603.39659375 |
| transcript.pyannote[225].speaker |
SPEAKER_02 |
| transcript.pyannote[225].start |
603.88596875 |
| transcript.pyannote[225].end |
613.55534375 |
| transcript.pyannote[226].speaker |
SPEAKER_02 |
| transcript.pyannote[226].start |
613.58909375 |
| transcript.pyannote[226].end |
617.13284375 |
| transcript.pyannote[227].speaker |
SPEAKER_01 |
| transcript.pyannote[227].start |
614.28096875 |
| transcript.pyannote[227].end |
632.48909375 |
| transcript.pyannote[228].speaker |
SPEAKER_02 |
| transcript.pyannote[228].start |
630.81846875 |
| transcript.pyannote[228].end |
643.05284375 |
| transcript.pyannote[229].speaker |
SPEAKER_01 |
| transcript.pyannote[229].start |
633.29909375 |
| transcript.pyannote[229].end |
633.50159375 |
| transcript.pyannote[230].speaker |
SPEAKER_02 |
| transcript.pyannote[230].start |
643.62659375 |
| transcript.pyannote[230].end |
644.68971875 |
| transcript.pyannote[231].speaker |
SPEAKER_02 |
| transcript.pyannote[231].start |
645.49971875 |
| transcript.pyannote[231].end |
655.10159375 |
| transcript.pyannote[232].speaker |
SPEAKER_02 |
| transcript.pyannote[232].start |
655.33784375 |
| transcript.pyannote[232].end |
661.90221875 |
| transcript.pyannote[233].speaker |
SPEAKER_01 |
| transcript.pyannote[233].start |
661.90221875 |
| transcript.pyannote[233].end |
661.91909375 |
| transcript.pyannote[234].speaker |
SPEAKER_01 |
| transcript.pyannote[234].start |
662.27346875 |
| transcript.pyannote[234].end |
663.01596875 |
| transcript.pyannote[235].speaker |
SPEAKER_01 |
| transcript.pyannote[235].start |
663.23534375 |
| transcript.pyannote[235].end |
684.48096875 |
| transcript.pyannote[236].speaker |
SPEAKER_00 |
| transcript.pyannote[236].start |
670.35659375 |
| transcript.pyannote[236].end |
671.97659375 |
| transcript.pyannote[237].speaker |
SPEAKER_00 |
| transcript.pyannote[237].start |
672.04409375 |
| transcript.pyannote[237].end |
672.21284375 |
| transcript.pyannote[238].speaker |
SPEAKER_00 |
| transcript.pyannote[238].start |
672.22971875 |
| transcript.pyannote[238].end |
672.39846875 |
| transcript.pyannote[239].speaker |
SPEAKER_02 |
| transcript.pyannote[239].start |
672.39846875 |
| transcript.pyannote[239].end |
672.88784375 |
| transcript.pyannote[240].speaker |
SPEAKER_00 |
| transcript.pyannote[240].start |
672.88784375 |
| transcript.pyannote[240].end |
672.92159375 |
| transcript.pyannote[241].speaker |
SPEAKER_00 |
| transcript.pyannote[241].start |
674.87909375 |
| transcript.pyannote[241].end |
674.91284375 |
| transcript.pyannote[242].speaker |
SPEAKER_02 |
| transcript.pyannote[242].start |
674.91284375 |
| transcript.pyannote[242].end |
675.60471875 |
| transcript.pyannote[243].speaker |
SPEAKER_02 |
| transcript.pyannote[243].start |
681.35909375 |
| transcript.pyannote[243].end |
681.76409375 |
| transcript.pyannote[244].speaker |
SPEAKER_02 |
| transcript.pyannote[244].start |
682.33784375 |
| transcript.pyannote[244].end |
684.36284375 |
| transcript.pyannote[245].speaker |
SPEAKER_01 |
| transcript.pyannote[245].start |
684.63284375 |
| transcript.pyannote[245].end |
689.30721875 |
| transcript.pyannote[246].speaker |
SPEAKER_02 |
| transcript.pyannote[246].start |
687.29909375 |
| transcript.pyannote[246].end |
693.07034375 |
| transcript.pyannote[247].speaker |
SPEAKER_01 |
| transcript.pyannote[247].start |
692.32784375 |
| transcript.pyannote[247].end |
695.04471875 |
| transcript.pyannote[248].speaker |
SPEAKER_02 |
| transcript.pyannote[248].start |
693.61034375 |
| transcript.pyannote[248].end |
696.79971875 |
| transcript.pyannote[249].speaker |
SPEAKER_01 |
| transcript.pyannote[249].start |
696.79971875 |
| transcript.pyannote[249].end |
712.44284375 |
| transcript.pyannote[250].speaker |
SPEAKER_02 |
| transcript.pyannote[250].start |
698.75721875 |
| transcript.pyannote[250].end |
699.07784375 |
| transcript.pyannote[251].speaker |
SPEAKER_02 |
| transcript.pyannote[251].start |
702.30096875 |
| transcript.pyannote[251].end |
706.43534375 |
| transcript.pyannote[252].speaker |
SPEAKER_02 |
| transcript.pyannote[252].start |
708.05534375 |
| transcript.pyannote[252].end |
711.21096875 |
| transcript.pyannote[253].speaker |
SPEAKER_02 |
| transcript.pyannote[253].start |
711.43034375 |
| transcript.pyannote[253].end |
716.12159375 |
| transcript.pyannote[254].speaker |
SPEAKER_02 |
| transcript.pyannote[254].start |
716.37471875 |
| transcript.pyannote[254].end |
721.18409375 |
| transcript.pyannote[255].speaker |
SPEAKER_02 |
| transcript.pyannote[255].start |
721.58909375 |
| transcript.pyannote[255].end |
723.88409375 |
| transcript.pyannote[256].speaker |
SPEAKER_02 |
| transcript.pyannote[256].start |
724.28909375 |
| transcript.pyannote[256].end |
724.32284375 |
| transcript.pyannote[257].speaker |
SPEAKER_01 |
| transcript.pyannote[257].start |
724.32284375 |
| transcript.pyannote[257].end |
724.39034375 |
| transcript.pyannote[258].speaker |
SPEAKER_02 |
| transcript.pyannote[258].start |
724.39034375 |
| transcript.pyannote[258].end |
724.69409375 |
| transcript.pyannote[259].speaker |
SPEAKER_01 |
| transcript.pyannote[259].start |
724.69409375 |
| transcript.pyannote[259].end |
724.79534375 |
| transcript.pyannote[260].speaker |
SPEAKER_02 |
| transcript.pyannote[260].start |
724.79534375 |
| transcript.pyannote[260].end |
724.82909375 |
| transcript.pyannote[261].speaker |
SPEAKER_01 |
| transcript.pyannote[261].start |
724.82909375 |
| transcript.pyannote[261].end |
724.86284375 |
| transcript.pyannote[262].speaker |
SPEAKER_02 |
| transcript.pyannote[262].start |
724.86284375 |
| transcript.pyannote[262].end |
725.04846875 |
| transcript.pyannote[263].speaker |
SPEAKER_01 |
| transcript.pyannote[263].start |
725.04846875 |
| transcript.pyannote[263].end |
725.09909375 |
| transcript.pyannote[264].speaker |
SPEAKER_02 |
| transcript.pyannote[264].start |
725.09909375 |
| transcript.pyannote[264].end |
726.97221875 |
| transcript.pyannote[265].speaker |
SPEAKER_01 |
| transcript.pyannote[265].start |
726.97221875 |
| transcript.pyannote[265].end |
731.59596875 |
| transcript.pyannote[266].speaker |
SPEAKER_02 |
| transcript.pyannote[266].start |
728.40659375 |
| transcript.pyannote[266].end |
729.21659375 |
| transcript.pyannote[267].speaker |
SPEAKER_02 |
| transcript.pyannote[267].start |
731.59596875 |
| transcript.pyannote[267].end |
731.71409375 |
| transcript.pyannote[268].speaker |
SPEAKER_01 |
| transcript.pyannote[268].start |
731.71409375 |
| transcript.pyannote[268].end |
733.53659375 |
| transcript.pyannote[269].speaker |
SPEAKER_02 |
| transcript.pyannote[269].start |
731.89971875 |
| transcript.pyannote[269].end |
733.58721875 |
| transcript.pyannote[270].speaker |
SPEAKER_01 |
| transcript.pyannote[270].start |
733.58721875 |
| transcript.pyannote[270].end |
733.62096875 |
| transcript.pyannote[271].speaker |
SPEAKER_02 |
| transcript.pyannote[271].start |
733.62096875 |
| transcript.pyannote[271].end |
733.63784375 |
| transcript.pyannote[272].speaker |
SPEAKER_01 |
| transcript.pyannote[272].start |
733.84034375 |
| transcript.pyannote[272].end |
734.49846875 |
| transcript.pyannote[273].speaker |
SPEAKER_02 |
| transcript.pyannote[273].start |
734.49846875 |
| transcript.pyannote[273].end |
745.14659375 |
| transcript.pyannote[274].speaker |
SPEAKER_01 |
| transcript.pyannote[274].start |
734.63346875 |
| transcript.pyannote[274].end |
735.42659375 |
| transcript.pyannote[275].speaker |
SPEAKER_01 |
| transcript.pyannote[275].start |
745.14659375 |
| transcript.pyannote[275].end |
758.10659375 |
| transcript.pyannote[276].speaker |
SPEAKER_02 |
| transcript.pyannote[276].start |
746.07471875 |
| transcript.pyannote[276].end |
747.30659375 |
| transcript.pyannote[277].speaker |
SPEAKER_02 |
| transcript.pyannote[277].start |
748.77471875 |
| transcript.pyannote[277].end |
750.19221875 |
| transcript.pyannote[278].speaker |
SPEAKER_02 |
| transcript.pyannote[278].start |
753.61784375 |
| transcript.pyannote[278].end |
755.74409375 |
| transcript.pyannote[279].speaker |
SPEAKER_02 |
| transcript.pyannote[279].start |
756.46971875 |
| transcript.pyannote[279].end |
761.00909375 |
| transcript.pyannote[280].speaker |
SPEAKER_01 |
| transcript.pyannote[280].start |
760.63784375 |
| transcript.pyannote[280].end |
783.36846875 |
| transcript.pyannote[281].speaker |
SPEAKER_02 |
| transcript.pyannote[281].start |
769.32846875 |
| transcript.pyannote[281].end |
775.21784375 |
| transcript.pyannote[282].speaker |
SPEAKER_02 |
| transcript.pyannote[282].start |
782.64284375 |
| transcript.pyannote[282].end |
786.22034375 |
| transcript.pyannote[283].speaker |
SPEAKER_01 |
| transcript.pyannote[283].start |
785.12346875 |
| transcript.pyannote[283].end |
786.70971875 |
| transcript.pyannote[284].speaker |
SPEAKER_01 |
| transcript.pyannote[284].start |
786.96284375 |
| transcript.pyannote[284].end |
787.78971875 |
| transcript.pyannote[285].speaker |
SPEAKER_02 |
| transcript.pyannote[285].start |
787.78971875 |
| transcript.pyannote[285].end |
791.29971875 |
| transcript.pyannote[286].speaker |
SPEAKER_01 |
| transcript.pyannote[286].start |
791.29971875 |
| transcript.pyannote[286].end |
791.46846875 |
| transcript.pyannote[287].speaker |
SPEAKER_02 |
| transcript.pyannote[287].start |
791.60346875 |
| transcript.pyannote[287].end |
791.63721875 |
| transcript.pyannote[288].speaker |
SPEAKER_01 |
| transcript.pyannote[288].start |
791.63721875 |
| transcript.pyannote[288].end |
791.67096875 |
| transcript.pyannote[289].speaker |
SPEAKER_02 |
| transcript.pyannote[289].start |
791.67096875 |
| transcript.pyannote[289].end |
792.73409375 |
| transcript.pyannote[290].speaker |
SPEAKER_01 |
| transcript.pyannote[290].start |
792.73409375 |
| transcript.pyannote[290].end |
792.76784375 |
| transcript.pyannote[291].speaker |
SPEAKER_02 |
| transcript.pyannote[291].start |
792.76784375 |
| transcript.pyannote[291].end |
792.78471875 |
| transcript.pyannote[292].speaker |
SPEAKER_02 |
| transcript.pyannote[292].start |
793.96596875 |
| transcript.pyannote[292].end |
794.53971875 |
| transcript.whisperx[0].start |
0.029 |
| transcript.whisperx[0].end |
6.733 |
| transcript.whisperx[0].text |
有請財政部的理事長理事長經濟部產發署的副署長也過來stand by好了等一下我先問你沈副署長來先請教次長今天當然也配合你們今天本來要處理的也暫時不處理那麼你可以看川普在這幾天特別講出來 |
| transcript.whisperx[1].start |
29.11 |
| transcript.whisperx[1].end |
49.95 |
| transcript.whisperx[1].text |
他說其他的世界 世界其他國家都佔美國便宜特別除了關稅以外他說非關稅的作弊第一項就是manipulate他的currency 操作貨幣第二項充當關稅的增值稅 這個就是貨物稅 |
| transcript.whisperx[2].start |
51.488 |
| transcript.whisperx[2].end |
69.034 |
| transcript.whisperx[2].text |
放這裡啦其他的傾向那都不是我今天要談的我就談這個貨物稅是被川普認定為非關稅的作弊貨物稅這個你同意嗎 理事長 |
| transcript.whisperx[3].start |
70.928 |
| transcript.whisperx[3].end |
92.601 |
| transcript.whisperx[3].text |
就我們所瞭解是跟我們相關確實是提到貨物稅的部分就是貨物稅嘛 關稅的增值稅就是貨物稅他已經講是八個cheating關稅的作弊 也就是說非關稅的障礙在這裡那我們又看飲料15%的貨物稅手搖飲料沒有貨物稅 |
| transcript.whisperx[4].start |
97.162 |
| transcript.whisperx[4].end |
124.202 |
| transcript.whisperx[4].text |
這個也很奇怪然後呢 熱飲機 電烤箱 氣炸鍋收音機 彩色電視這個稅收都一點點那為什麼還要課候補稅候補稅35年 訂了到現在今年114年 訂了快要80年從來沒有檢討過候補稅老民啊 老民現在老到川普啊川普都可以拿這個來修理你啦 |
| transcript.whisperx[5].start |
126.428 |
| transcript.whisperx[5].end |
149.646 |
| transcript.whisperx[5].text |
這叫非關稅障礙啊修理到你們啦市長你能不能承諾趕快去你們沒事我們財務會人都對你們太好了有時候覺得財務會的委員到底怎麼樣有的很兇然後進來財務會都變這個很不兇對不對這到底怎麼搞的進來進來又整個氣氛就變了哇都體貼你們喔然後叫你們寫報告也不寫報告你寫給我們啊請問你這個監督 |
| transcript.whisperx[6].start |
155.145 |
| transcript.whisperx[6].end |
169.716 |
| transcript.whisperx[6].text |
可以不可以廢除掉剛我提的這個這麼小的稅收稅收一點點一點點80年沒有修改貨物稅可以不可以把它免除掉提一個可行性評估報告給我們可以嗎 |
| transcript.whisperx[7].start |
171.037 |
| transcript.whisperx[7].end |
180.649 |
| transcript.whisperx[7].text |
85人其實我們後綴從35年課程以來其實我們有意志在檢討啦有些項目其實也都我現在就要求你針對這幾項還有你整個後綴的檢討一個月內提出一個檢討報告可以嗎可以一個月內提出檢討報告 |
| transcript.whisperx[8].start |
188.719 |
| transcript.whisperx[8].end |
202.572 |
| transcript.whisperx[8].text |
這個已經被因為荒稅的課已經被川普認為是非關稅的障礙是非關稅作弊啊他的用字眼用得很很重啊叫cheating啊你看英文我們看到 |
| transcript.whisperx[9].start |
204.493 |
| transcript.whisperx[9].end |
219.099 |
| transcript.whisperx[9].text |
這個就跟那個產房屬有關係了川普風暴汽車的關稅我們都知道關稅是7.5%可是貨物稅25%兩斤西西以上是25%兩斤西西以上是30%電動車完稅以後140萬以上的減半電動車是免貨物稅的是免貨物稅的所以 |
| transcript.whisperx[10].start |
232.811 |
| transcript.whisperx[10].end |
247.277 |
| transcript.whisperx[10].text |
這一部分就是他認為是非關稅的蜻蜓作弊真的要殺的話要應付川普的話是要應付這一塊所以我就請教這個副署長啊 |
| transcript.whisperx[11].start |
248.527 |
| transcript.whisperx[11].end |
274.758 |
| transcript.whisperx[11].text |
你用產業發展的角度來你剛剛講的熱熱騰騰影響整場一萬人影響零組件八萬講起來就不要講那個模具就有十萬十萬人不少啦現在進口車跟國產車大概比例多少八號委員大概一比一就是五十五十啦所以這裡面啦你這邊要照顧那邊要照顧可是就業人口咧 |
| transcript.whisperx[12].start |
277.564 |
| transcript.whisperx[12].end |
295.954 |
| transcript.whisperx[12].text |
剛剛是八萬不是啊 那個進口商咧?進口商主要是以代理進口的他聚合聯口多少?我這邊沒掌握 可以會後再補我就要想啊 請問進口商有幾家 掌握吧 |
| transcript.whisperx[13].start |
297.302 |
| transcript.whisperx[13].end |
320.009 |
| transcript.whisperx[13].text |
幾乎現在的車廠很多都有代理的性質 譬如說我認為進口上加起來了不起一千人啦很多了啦 一千人VS十萬人咧如果以就業的角度來講的話那麼你就要考慮到你這個如果是關稅減為零 |
| transcript.whisperx[14].start |
322.54 |
| transcript.whisperx[14].end |
348.506 |
| transcript.whisperx[14].text |
那這些十萬人他的工作機會怎麼辦馬上產生一個社會問題這個 大家說你說進口樓他老是不漲進那是另外一件事但是馬上面對的現在全世界的這樣子關稅的風暴東西還沒有結束喔馬上就是說一來那結果我們的國務部長很天才啊他說降維你沒有問題關稅降維你沒有問題 你同意嗎 |
| transcript.whisperx[15].start |
353.53 |
| transcript.whisperx[15].end |
374.81 |
| transcript.whisperx[15].text |
你不敢講啊這個 委員這是涉及談判的內容我覺得不方便不 部長接受我 不是談判他接受我質詢 在經濟委員會質詢他說叫我淋沒有問題啊你們汽車的十萬人可以七年來試運叫我淋沒有問題啊來來來 理事長你比較把握你敢要叫我淋嗎 |
| transcript.whisperx[16].start |
376.888 |
| transcript.whisperx[16].end |
400.269 |
| transcript.whisperx[16].text |
這部分我們財政部的立場就是我們提供相關的數據讓經貿談判辦公室去做談判談判參考問題是賴清德總統說要從零開始啊他就想說那關稅是零喔你關稅回零的話還不如說你的你的公務稅大幅調降因為公務稅是屬於關稅的欺騙 |
| transcript.whisperx[17].start |
402.745 |
| transcript.whisperx[17].end |
415.974 |
| transcript.whisperx[17].text |
川普是這樣認為的現在全世界的經貿規則川普在定的啊川普大帝啊大帝啊 川普大帝他在定的啊 大家都跟他細細準啊我請教副處長你們產業的角度來講汽車關稅為零可不可行 |
| transcript.whisperx[18].start |
429.18 |
| transcript.whisperx[18].end |
456.937 |
| transcript.whisperx[18].text |
產業面喔我剛剛有提到就是如果你forget it就是產業面可不可行如果降關稅就會取代本土汽車它會取代一部分進口來源也會取代本土汽車這是會發生的那我們也有內部評估如果我們降關稅的話我們的產業隔年的產值就會有所衰退 |
| transcript.whisperx[19].start |
458.274 |
| transcript.whisperx[19].end |
483.811 |
| transcript.whisperx[19].text |
那失業人口勒就是整車廠那部分會特別厭倦你寫一個報告給我可以嗎沒問題你們報告應該都有了好不好一個月內一樣給我們簽證委員會到底關稅降多少你們部長說可以降為零七年可以適應他的意思是七年逐步降為零他的意思我的截圖是這樣子我在經濟委員會質詢他他講了七年給我們七年適應 |
| transcript.whisperx[20].start |
489.395 |
| transcript.whisperx[20].end |
499.924 |
| transcript.whisperx[20].text |
汽車關稅不穩定可是他們要講的一塊是貨物稅貨物稅要降你整個車子來講 你看關稅才17.5 貨物稅25% 30% 對吧貨物稅的部分因為是國產跟進口都一樣 都會課 都一樣但是呢 因為關稅只有進口車降 |
| transcript.whisperx[21].start |
516.741 |
| transcript.whisperx[21].end |
543.869 |
| transcript.whisperx[21].text |
他對於國產社當然就是一個很大打擊啊這是大家都知道的啊所以你等於是一方面我們希望大家都可以開到便宜的車另一方面現有的按照你講的你的數字十萬人的工作怎麼處理按照你們部長講的是七年可以調整就逐步下降這樣的答案其實一般人是比較可以接受啦一下是從17.5一下變成0這個機率等於0啦 |
| transcript.whisperx[22].start |
546.97 |
| transcript.whisperx[22].end |
570.748 |
| transcript.whisperx[22].text |
這幾率等於零美國大概也不會要求我們一下子從17.5變零他大概也不會這樣要求但是會要求我們一個Time table要如何變成零那這個就是你們要去刷狗的地方要去努力跟美國談的Bugging的地方所以不可能降到零我可以降到多少遲早要降一點啦可是更重要的 |
| transcript.whisperx[23].start |
572.017 |
| transcript.whisperx[23].end |
583.336 |
| transcript.whisperx[23].text |
非關稅的欺騙 那個才要降那個貨物稅要大降比如說降一半這個美國就很麻煩啦理事長同意嗎 |
| transcript.whisperx[24].start |
585.267 |
| transcript.whisperx[24].end |
612.668 |
| transcript.whisperx[24].text |
副市長可以請回我們其實就是已經提供相關資料也提供給作為談判參考但是最後是怎麼樣的結果我們也會等最後再討論今天我沒有處理的原因讓你們有點籌碼去跟他們談吧副市長請回今天的題目主要是一個太久歡欣你們有的兩年五年我就問你為什麼一事到底就不要了算了也沒有多少錢 |
| transcript.whisperx[25].start |
618.353 |
| transcript.whisperx[25].end |
633.024 |
| transcript.whisperx[25].text |
其實我們為什麼用太舊換新的方式其實從消費者的角度來看如果今天我們直接變成免稅的話其實是廠商免稅或是是對產製廠商出廠商免稅你們現在怎麼做你們現在是交給經濟部交給工研院一年花三億喔 |
| transcript.whisperx[26].start |
645.594 |
| transcript.whisperx[26].end |
660.748 |
| transcript.whisperx[26].text |
3億去處理這個事情就是我去買這個節能家電然後我可以省2000塊我就去找供應院去跟他拿2000塊回來憑我的收據或者發票去跟他拿2000塊回來交給供應院花3億來做 |
| transcript.whisperx[27].start |
664.131 |
| transcript.whisperx[27].end |
683.063 |
| transcript.whisperx[27].text |
報告委員因為這應該是兩件事情一個是屬於直接退稅的退稅的是直接跟國際局退這個不是我們被委託公研院另外一個是經濟部他有個太舊換新補助的措施我想委員講的應該是在補助你們這一部分能不能自己來做 |
| transcript.whisperx[28].start |
684.804 |
| transcript.whisperx[28].end |
706.838 |
| transcript.whisperx[28].text |
我們有自己做我們那個直接退稅都是我們自己做最後一個小問題你們報稅確定延到6月對不對你們大概就是延繳跟分期交納嗎我們包含申報也延到6月另外就是如果申報以後那些人還是有這個繳稅困難的話可以延繳我只希望做一點你能不能從寬認定我們一定從寬認定因為這個經濟影響太大了最後一個對小 |
| transcript.whisperx[29].start |
714.963 |
| transcript.whisperx[29].end |
729.027 |
| transcript.whisperx[29].text |
這個你們都仰賴啊大專學院高職生的去啊一天給個三百塊耶你們這個 你知道基本工資多少錢嗎委員跟委員報告其實很多我問你知不知道基本工資一天多少錢一個小時多少錢基本工資一小時一百九啊 |
| transcript.whisperx[30].start |
735.37 |
| transcript.whisperx[30].end |
747.46 |
| transcript.whisperx[30].text |
一天就一千五百二十塊結果你們剝削這些的高智商大專院校的學生一天只給這三百啊剝削啊什麼叫學校合作啊這個太惡劣了啦你可以從頭提高嗎 提高一倍可以吧 |
| transcript.whisperx[31].start |
760.29 |
| transcript.whisperx[31].end |
775.858 |
| transcript.whisperx[31].text |
六七百以上啊你這個部分是不是委員可以讓我們來研究一下因為基本上其實因為很多學校是跟我們做有點類似建教合作的性質他們還可以認定他們的學分真的還是有的對可是因為他等於就是真的來我們這邊上課啦有點類似來我們這邊上課的味道所以我們給他的也只是一個類似務參費的性質我今天一定要兩個報告你再這個再給我一個報告為什麼可以用三百 |
| transcript.whisperx[32].start |
787.003 |
| transcript.whisperx[32].end |
787.183 |
| transcript.whisperx[32].text |
郭文貴議員 |
| gazette.lineno |
247 |
| gazette.blocks[0][0] |
賴委員士葆:(10時11分)謝謝主席及各位先進,有請財政部的李次長。 |
| gazette.blocks[1][0] |
主席:好,李次長。 |
| gazette.blocks[2][0] |
賴委員士葆:經濟部產發署的副署長也過來stand by好了,我等一下有問題要問你。 |
| gazette.blocks[3][0] |
主席:請陳副署長。 |
| gazette.blocks[4][0] |
李次長慶華:委員早安。 |
| gazette.blocks[5][0] |
賴委員士葆:先請教次長,今天當然也配合你們,今天本來要處理的也暫時不處理。 |
| gazette.blocks[6][0] |
李次長慶華:謝謝委員。 |
| gazette.blocks[7][0] |
賴委員士葆:你可以看到川普在這幾天特別講出來,他說世界上其他的國家都占美國便宜,特別除了關稅(tariff)以外,他說非關稅作弊(Non-Tariff Cheating),第一項就是操縱貨幣(Currency Manipulation);第二項充當關稅的增值稅,這個就是貨物稅啊!放這裡啦!其他的傾銷都不是我今天要談的,我就談這個,貨物稅是被川普認定為非關稅作弊,李次長,這個你同意嗎? |
| gazette.blocks[8][0] |
李次長慶華:就我們所瞭解跟我們相關的,確實是提到貨物稅的部分。 |
| gazette.blocks[9][0] |
賴委員士葆:就是貨物稅嘛!關稅的增值稅就是貨物稅,他已經講了8個tariff、一個cheating關稅作弊,也就是說非關稅的障礙在這裡。我們又看到飲料15%的貨物稅,但手搖飲料沒有貨物稅,這個也很奇怪,然後錄影機、電烤箱、氣炸鍋、收音機、彩色電視的稅收都一點點,為什麼還要課貨物稅?貨物稅從35年訂定到現在,今年114年訂了快要80年,從來沒有檢討過貨物稅,這擾民啊!現在擾到川普啦!川普都可以拿這個來修理你啦!這叫非關稅障礙,修理到你們啦!次長,你能不能承諾趕快去處理?每一次財委會的人都對你們太好了,有時候我會覺得財委會的委員到底是怎麼樣,有的很兇,但進來財委會就變得很不兇,對不對?這到底怎麼搞的?進來以後,整個氣氛就變了,哇!都體貼你們喔!叫你們寫報告也不寫,報告你寫給我們啊!請問你們可不可以檢討廢除掉這部分,就是剛剛我提的這麼小的稅收,稅收才一點點,80年沒有修改貨物稅,可以不可以把它免除掉,提一個可行性評估報告給我們,可以嗎? |
| gazette.blocks[10][0] |
李次長慶華:報告委員,貨物稅從35年課徵以來,我們有一直在檢討,有些項目其實…… |
| gazette.blocks[11][0] |
賴委員士葆:我現在要求你,針對這幾項,還有整個貨物稅的檢討,一個月內提出檢討報告,可以嗎? |
| gazette.blocks[12][0] |
李次長慶華:可以,謝謝委員。 |
| gazette.blocks[13][0] |
賴委員士葆:一個月內提出檢討報告。因為課貨物稅,已經被川普認為是非關稅障礙,是非關稅作弊,他的用字眼用得很重,叫cheating!這個就跟產發署有關係了,川普風暴,汽車的關稅17.5%,可是貨物稅2,000c.c.以下是25%;2,000c.c.以上是30%,電動車完稅以後,140萬以上的減半,電動車是免貨物稅的,這一部分川普認為是非關稅的cheating,作弊!真的要應付川普是要應付這一塊,所以我請教副署長,你用產業發展的角度來看,你剛剛講得「落落長」,影響整廠1萬人、影響零組件8萬,不要講到模具就影響了10萬,10萬人不算少,現在進口車跟國產車比例大概多少? |
| gazette.blocks[14][0] |
陳副署長佩利:報告委員,大概1比1。 |
| gazette.blocks[15][0] |
賴委員士葆:就是50、50,所以你這邊要照顧,那邊也要照顧,可是就業人口呢? |
| gazette.blocks[16][0] |
陳副署長佩利:剛剛講的是8萬。 |
| gazette.blocks[17][0] |
賴委員士葆:不是,進口商呢? |
| gazette.blocks[18][0] |
陳副署長佩利:進口商主要是以代理進口的,應該…… |
| gazette.blocks[19][0] |
賴委員士葆:就業人口多少? |
| gazette.blocks[20][0] |
陳副署長佩利:我這邊沒掌握,可以會後再補。 |
| gazette.blocks[21][0] |
賴委員士葆:請問進口商有幾家?總有掌握吧? |
| gazette.blocks[22][0] |
陳副署長佩利:現在的車廠幾乎很多都有代理的性質,譬如說裕隆…… |
| gazette.blocks[23][0] |
賴委員士葆:我認為進口商加起來了不起1,000人,很多了,1,000人vs.10萬人,如果以就業的角度來講,要考慮到如果關稅減為零,這10萬人的工作機會怎麼辦?馬上產生一個社會問題,大家說進口商老是不長進,那是另外一件事,但是馬上要面對全世界的關稅風暴,到現在還沒有結束,結果郭智輝部長很天才,他在新聞說沒有問題,關稅降為零沒有問題,你同意嗎?你不敢講嗎? |
| gazette.blocks[24][0] |
陳副署長佩利:委員,這是涉及談判的內容,我就不方便透露。 |
| gazette.blocks[25][0] |
賴委員士葆:郭部長接受我在經濟委員會質詢,他說降為零沒有問題,汽車業的10萬人可以用7年來適應,降為零沒有問題,來、來、來,李次長你比較有把握,你敢把它降為零嗎? |
| gazette.blocks[26][0] |
李次長慶華:我們財政部的立場就是提供相關數據讓經貿談判辦公室去做談判參考。 |
| gazette.blocks[27][0] |
賴委員士葆:問題是賴清德總統說要從零開始,大家就想說關稅是零,關稅為零還不如貨物稅大幅調降,因為貨物稅是屬於關稅的cheating,川普是這樣認為的,現在全世界的經貿規則是川普在訂的,川普大帝,emperor,當時大家都很害怕,難道不是這樣嗎? |
| gazette.blocks[28][0] |
李次長慶華:有關貨稅的部分,我們也是一併…… |
| gazette.blocks[29][0] |
賴委員士葆:我請教副處長,你們以產業的角度來講,汽車關稅為零可不可行? |
| gazette.blocks[30][0] |
陳副署長佩利:產業面,剛剛有提到如果…… |
| gazette.blocks[31][0] |
賴委員士葆:產業面可不可行? |
| gazette.blocks[32][0] |
陳副署長佩利:如果降關稅就會取代本土汽車,他會取代一部分進口來源,也會取代本土汽車,這是會發生的,我們也有內部評估,如果降關稅,我們的產業隔年的產值就會有所衰退。 |
| gazette.blocks[33][0] |
賴委員士葆:失業人口呢? |
| gazette.blocks[34][0] |
陳副署長佩利:就是整車廠的部分會特別嚴重。 |
| gazette.blocks[35][0] |
賴委員士葆:你寫一個報告給我,可以嗎? |
| gazette.blocks[36][0] |
陳副署長佩利:沒問題。 |
| gazette.blocks[37][0] |
賴委員士葆:你們報告應該都有了,好不好?一個月內一樣給財政委員會,到底關稅降多少?你們部長說可以降為零,7年可以適應,他的意思是7年逐步降為零,我解讀他的意思是這樣子,我在經濟委員會質詢他,他說給我們7年的時間去適應,汽車關稅可以變為零,可是他沒有講的一塊是貨物稅,貨物稅要繳,汽車的關稅才17.5%,貨物稅25%、30%而已,對吧? |
| gazette.blocks[38][0] |
陳副署長佩利:對,貨物稅的部分,因為國產跟進口都會課。 |
| gazette.blocks[39][0] |
賴委員士葆:都一樣,但因為關稅只有進口車降,對於國產車當然就是一個很大的打擊,這是大家都知道的。所以一方面大家都希望可以開到便宜的車,另一方面,按照你們講的數字,10萬人的工作怎麼處理?按照你們部長講的是,7年可以逐步調整下降,其實這樣的答案一般人是比較可以接受,一下子從17.5%變成零,這機率等於零,美國大概也不會要求一下子從17.5%變零,他們大概也不會這樣要求,但是會要求我們一個timetable要如何變成零?就是你們要去struggle的地方,要努力去跟美國談、bargain的地方,說不可能降為零,我可以降到多少,遲早多少要降一點,可是更重要的是非關稅的cheating才要降,貨物稅要大降,比如說降一半,這個美國就很好談,李次長同意嗎?副署長可以請回。 |
| gazette.blocks[40][0] |
李次長慶華:跟委員報告,這個部分其實我們已經提供相關資料作為談判參考,當然最後是怎麼樣的結果,我們也要等最後再…… |
| gazette.blocks[41][0] |
賴委員士葆:所以這是今天我沒有處理的原因,讓你們有一點籌碼去跟他們談。 |
| gazette.blocks[41][1] |
今天的題目,主要是汰舊換新,你們有的2年、5年,我就問你,為什麼不一次到底,就不要了、算了,也沒有多少錢。 |
| gazette.blocks[42][0] |
李次長慶華:報告委員…… |
| gazette.blocks[43][0] |
賴委員士葆:其實也沒有多少錢,一個人2,000塊,才多少錢? |
| gazette.blocks[44][0] |
李次長慶華:了解,為什麼用汰舊換新的方式,從消費者的角度來看,如果今天直接變成免稅的話,其實是廠商免稅,因為貨物稅是對產製廠商出廠的時候課稅。 |
| gazette.blocks[45][0] |
賴委員士葆:你現在提到一個重點,因為我時間到了,就不拖延後面委員的時間,你們現在怎麼做,你知道嗎?你們現在是交給經濟部、交給工研院,一年花3億去處理這個事情,就是我去買這些家電可以省2,000塊,我去工研院跟他拿2,000塊回來,憑我的收據或者發票跟他拿2,000塊回來,交給工研院花3億來做,為什麼? |
| gazette.blocks[46][0] |
李次長慶華:報告委員,這應該是兩件事情,一個是屬於直接退稅的,退稅的是直接跟我們國稅局退…… |
| gazette.blocks[47][0] |
賴委員士葆:退給誰? |
| gazette.blocks[48][0] |
李次長慶華:這個不是,我們沒有委託工研院。另外一個是經濟部,它有個汰舊換新補助的措施,我想委員講的應該是在補助那一塊。 |
| gazette.blocks[49][0] |
賴委員士葆:你們這一部分,能不能自己來做? |
| gazette.blocks[50][0] |
李次長慶華:我們有自己做,直接退稅都是自己做,消費者直接跟國稅局申請。 |
| gazette.blocks[51][0] |
賴委員士葆:最後一個小問題,也是很重要的問題,你們報稅確定延到6月,對不對? |
| gazette.blocks[52][0] |
李次長慶華:是、是、是,沒錯。 |
| gazette.blocks[53][0] |
賴委員士葆:你們大概就是延繳跟分期繳納。 |
| gazette.blocks[54][0] |
李次長慶華:包含申報也延到6月,另外就是如果申報以後,納稅人還是有繳稅困難,可以延繳和分期。 |
| gazette.blocks[55][0] |
賴委員士葆:我只希望最後一點,你們能不能從寬認定? |
| gazette.blocks[56][0] |
李次長慶華:會、會、會,我們一定從寬認定,我們現在非常寬鬆。 |
| gazette.blocks[57][0] |
賴委員士葆:從寬認定,因為對經濟影響太大了。 |
| gazette.blocks[57][1] |
最後一個,你們都仰賴大專學院、高職生去服務,一天只給人家300塊耶!你知道基本工資多少錢嗎? |
| gazette.blocks[58][0] |
李次長慶華:跟委員報告,其實有很多…… |
| gazette.blocks[59][0] |
賴委員士葆:你知不知道基本工資一天多少錢? |
| gazette.blocks[60][0] |
李次長慶華:我知道是三百元左右,基本工資…… |
| gazette.blocks[61][0] |
賴委員士葆:基本工資1小時190,一天就1,520塊,結果你們剝削這些高職生、大專院校的學生,一天只給人家300啊! |
| gazette.blocks[62][0] |
李次長慶華:不是,報告委員…… |
| gazette.blocks[63][0] |
賴委員士葆:剝削啊! |
| gazette.blocks[64][0] |
李次長慶華:這是我們跟學校合作…… |
| gazette.blocks[65][0] |
賴委員士葆:什麼叫學校合作? |
| gazette.blocks[66][0] |
李次長慶華:讓他們有實習的機會,所以其實這不是單純的提供工讀而已。 |
| gazette.blocks[67][0] |
賴委員士葆:這個太惡劣了,你們可以提高嗎?最少提高1倍,可以吧?最少600、700以上。 |
| gazette.blocks[68][0] |
李次長慶華:這部分是不是可以讓我們研究一下,因為基本上,其實因為很多學校跟我們做有點類似建教合作的性質,還可以認定他們的學分。 |
| gazette.blocks[69][0] |
賴委員士葆:拿這麼少喔?做一天只拿到300塊,你們也好意思在這裡講。 |
| gazette.blocks[70][0] |
李次長慶華:他們等於是真的來我們這邊上課,有點類似來我們這邊上課的味道,所以我們給他們的只是類似誤餐費的性質。 |
| gazette.blocks[71][0] |
賴委員士葆:我今天跟妳要兩個報告,這個再提供報告給我,說明為什麼可以用300元? |
| gazette.blocks[72][0] |
李次長慶華:謝謝委員。 |
| gazette.blocks[73][0] |
主席:謝謝賴召委。 |
| gazette.blocks[73][1] |
下一位請郭國文委員。 |
| gazette.agenda.page_end |
444 |
| gazette.agenda.meet_id |
委員會-11-3-20-9 |
| gazette.agenda.speakers[0] |
賴士葆 |
| gazette.agenda.speakers[1] |
黃珊珊 |
| gazette.agenda.speakers[2] |
林德福 |
| gazette.agenda.speakers[3] |
林思銘 |
| gazette.agenda.speakers[4] |
陳玉珍 |
| gazette.agenda.speakers[5] |
王世堅 |
| gazette.agenda.speakers[6] |
葉元之 |
| gazette.agenda.speakers[7] |
廖偉翔 |
| gazette.agenda.speakers[8] |
羅廷瑋 |
| gazette.agenda.speakers[9] |
徐欣瑩 |
| gazette.agenda.speakers[10] |
王鴻薇 |
| gazette.agenda.speakers[11] |
黃建賓 |
| gazette.agenda.speakers[12] |
吳秉叡 |
| gazette.agenda.speakers[13] |
郭國文 |
| gazette.agenda.speakers[14] |
李彥秀 |
| gazette.agenda.speakers[15] |
鍾佳濱 |
| gazette.agenda.speakers[16] |
賴惠員 |
| gazette.agenda.speakers[17] |
李坤城 |
| gazette.agenda.speakers[18] |
顏寬恒 |
| gazette.agenda.speakers[19] |
林思銘 |
| gazette.agenda.speakers[20] |
羅明才 |
| gazette.agenda.speakers[21] |
張啓楷 |
| gazette.agenda.speakers[22] |
楊瓊瓔 |
| gazette.agenda.page_start |
333 |
| gazette.agenda.meetingDate[0] |
2025-04-23 |
| gazette.agenda.gazette_id |
1144001 |
| gazette.agenda.agenda_lcidc_ids[0] |
1144001_00008 |
| gazette.agenda.meet_name |
立法院第11屆第3會期財政委員會第9次全體委員會議紀錄 |
| gazette.agenda.content |
一、審查「貨物稅條例」34案:(一) 本院委員葉元之等21人擬具「貨物稅條例刪除部分條文草
案」案、(二) 本院委員廖先翔等16人擬具「貨物稅條例刪除第八條條文草案」案、(三) 本院台
灣民眾黨黨團擬具「貨物稅條例第十一條、第十一條之一及第三十七條條文修正草案」案、(四)
本院委員邱若華等20人擬具「貨物稅條例第十一條條文修正草案」案、 (五) 本院委員魯明哲等
16人、委員顏寬恒等19人、委員羅廷瑋等16人、委員賴士葆等21人、委員邱鎮軍等22人、委員徐
欣瑩等27人、委員翁曉玲等17人、委員羅明才等16人、委員郭國文等17人、委員王鴻薇等24人、
委員廖偉翔等17人、委員許宇甄等21人、委員黃建賓等16人、委員林思銘等21人、委員萬美玲等
16人分別擬具「貨物稅條例第十一條之一條文修正草案」等15案、(六) 本院委員李坤城等24人
擬具「貨物稅條例第十一條之一、第十二條之五及第十二條之六條文修正草案」案、(七) 本院
委員鄭天財 Sra Kacaw 等19人、委員林思銘等19人、委員涂權吉等17人、委員陳玉珍等19人、委
員馬文君等18人、委員王世堅等19人、委員張智倫等25人、委員魯明哲等16人、委員王鴻薇等19
人、委員楊瓊瓔等20 人、委員邱鎮軍等24 人、委員萬美玲等18 人、委員廖偉翔等17 人分別擬具
「貨物稅條例第十二條條文修正草案」等13案、(八) 本院委員邱鎮軍等19人擬具「貨物稅條例
第十二條之三條文修正草案」案;二、審查人民請願案有關「貨物稅條例」7案 |
| gazette.agenda.agenda_id |
1144001_00007 |