| IVOD_ID |
160566 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160566 |
| 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 |
2025-04-23T12:31:49+08:00 |
| 結束時間 |
2025-04-23T12:40:02+08:00 |
| 影片長度 |
00:08:13 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/27ac2f54fdf75cc0a2d07f6856a36580c0f390e692fb4f24ca7a32b531de3e8073918cfeb3a2548d5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
張啓楷 |
| 委員發言時間 |
12:31:49 - 12:40:02 |
| 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_01 |
| transcript.pyannote[0].start |
15.06659375 |
| transcript.pyannote[0].end |
20.19659375 |
| transcript.pyannote[1].speaker |
SPEAKER_03 |
| transcript.pyannote[1].start |
20.61846875 |
| transcript.pyannote[1].end |
20.95596875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
20.95596875 |
| transcript.pyannote[2].end |
20.97284375 |
| transcript.pyannote[3].speaker |
SPEAKER_03 |
| transcript.pyannote[3].start |
20.97284375 |
| transcript.pyannote[3].end |
21.02346875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
21.02346875 |
| transcript.pyannote[4].end |
21.86721875 |
| transcript.pyannote[5].speaker |
SPEAKER_03 |
| transcript.pyannote[5].start |
21.86721875 |
| transcript.pyannote[5].end |
22.06971875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
22.06971875 |
| transcript.pyannote[6].end |
22.08659375 |
| transcript.pyannote[7].speaker |
SPEAKER_03 |
| transcript.pyannote[7].start |
24.16221875 |
| transcript.pyannote[7].end |
24.66846875 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
30.37221875 |
| transcript.pyannote[8].end |
34.45596875 |
| transcript.pyannote[9].speaker |
SPEAKER_02 |
| transcript.pyannote[9].start |
35.55284375 |
| transcript.pyannote[9].end |
41.89784375 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
42.37034375 |
| transcript.pyannote[10].end |
45.72846875 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
46.40346875 |
| transcript.pyannote[11].end |
49.17096875 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
49.60971875 |
| transcript.pyannote[12].end |
55.65096875 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
56.62971875 |
| transcript.pyannote[13].end |
61.05096875 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
61.72596875 |
| transcript.pyannote[14].end |
62.14784375 |
| transcript.pyannote[15].speaker |
SPEAKER_03 |
| transcript.pyannote[15].start |
63.48096875 |
| transcript.pyannote[15].end |
66.26534375 |
| transcript.pyannote[16].speaker |
SPEAKER_02 |
| transcript.pyannote[16].start |
64.84784375 |
| transcript.pyannote[16].end |
67.96971875 |
| transcript.pyannote[17].speaker |
SPEAKER_02 |
| transcript.pyannote[17].start |
68.69534375 |
| transcript.pyannote[17].end |
71.88471875 |
| transcript.pyannote[18].speaker |
SPEAKER_02 |
| transcript.pyannote[18].start |
72.69471875 |
| transcript.pyannote[18].end |
73.92659375 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
74.41596875 |
| transcript.pyannote[19].end |
77.52096875 |
| transcript.pyannote[20].speaker |
SPEAKER_02 |
| transcript.pyannote[20].start |
77.77409375 |
| transcript.pyannote[20].end |
79.30971875 |
| transcript.pyannote[21].speaker |
SPEAKER_02 |
| transcript.pyannote[21].start |
79.66409375 |
| transcript.pyannote[21].end |
80.17034375 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
80.57534375 |
| transcript.pyannote[22].end |
82.85346875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
82.85346875 |
| transcript.pyannote[23].end |
82.88721875 |
| transcript.pyannote[24].speaker |
SPEAKER_02 |
| transcript.pyannote[24].start |
83.15721875 |
| transcript.pyannote[24].end |
83.29221875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
83.29221875 |
| transcript.pyannote[25].end |
83.84909375 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
83.84909375 |
| transcript.pyannote[26].end |
83.89971875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
83.89971875 |
| transcript.pyannote[27].end |
83.91659375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
84.18659375 |
| transcript.pyannote[28].end |
84.20346875 |
| transcript.pyannote[29].speaker |
SPEAKER_02 |
| transcript.pyannote[29].start |
84.20346875 |
| transcript.pyannote[29].end |
84.35534375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
84.35534375 |
| transcript.pyannote[30].end |
84.45659375 |
| transcript.pyannote[31].speaker |
SPEAKER_02 |
| transcript.pyannote[31].start |
84.45659375 |
| transcript.pyannote[31].end |
84.49034375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
84.49034375 |
| transcript.pyannote[32].end |
84.52409375 |
| transcript.pyannote[33].speaker |
SPEAKER_02 |
| transcript.pyannote[33].start |
84.52409375 |
| transcript.pyannote[33].end |
84.67596875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
84.67596875 |
| transcript.pyannote[34].end |
84.69284375 |
| transcript.pyannote[35].speaker |
SPEAKER_02 |
| transcript.pyannote[35].start |
84.69284375 |
| transcript.pyannote[35].end |
84.70971875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
84.70971875 |
| transcript.pyannote[36].end |
85.51971875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
85.92471875 |
| transcript.pyannote[37].end |
96.33659375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
96.65721875 |
| transcript.pyannote[38].end |
98.96909375 |
| transcript.pyannote[39].speaker |
SPEAKER_02 |
| transcript.pyannote[39].start |
98.96909375 |
| transcript.pyannote[39].end |
101.93909375 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
102.69846875 |
| transcript.pyannote[40].end |
110.08971875 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
110.35971875 |
| transcript.pyannote[41].end |
111.03471875 |
| transcript.pyannote[42].speaker |
SPEAKER_02 |
| transcript.pyannote[42].start |
111.42284375 |
| transcript.pyannote[42].end |
113.66721875 |
| transcript.pyannote[43].speaker |
SPEAKER_02 |
| transcript.pyannote[43].start |
113.93721875 |
| transcript.pyannote[43].end |
114.91596875 |
| transcript.pyannote[44].speaker |
SPEAKER_02 |
| transcript.pyannote[44].start |
115.25346875 |
| transcript.pyannote[44].end |
116.56971875 |
| transcript.pyannote[45].speaker |
SPEAKER_02 |
| transcript.pyannote[45].start |
117.16034375 |
| transcript.pyannote[45].end |
119.05034375 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
119.10096875 |
| transcript.pyannote[46].end |
120.83909375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
120.83909375 |
| transcript.pyannote[47].end |
120.85596875 |
| transcript.pyannote[48].speaker |
SPEAKER_02 |
| transcript.pyannote[48].start |
121.39596875 |
| transcript.pyannote[48].end |
121.42971875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
121.42971875 |
| transcript.pyannote[49].end |
121.71659375 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
121.71659375 |
| transcript.pyannote[50].end |
122.00346875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
122.00346875 |
| transcript.pyannote[51].end |
122.23971875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
124.85534375 |
| transcript.pyannote[52].end |
135.55409375 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
135.55409375 |
| transcript.pyannote[53].end |
137.30909375 |
| transcript.pyannote[54].speaker |
SPEAKER_02 |
| transcript.pyannote[54].start |
137.83221875 |
| transcript.pyannote[54].end |
147.29909375 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
147.95721875 |
| transcript.pyannote[55].end |
149.71221875 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
150.43784375 |
| transcript.pyannote[56].end |
153.49221875 |
| transcript.pyannote[57].speaker |
SPEAKER_02 |
| transcript.pyannote[57].start |
153.82971875 |
| transcript.pyannote[57].end |
154.43721875 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
155.28096875 |
| transcript.pyannote[58].end |
156.63096875 |
| transcript.pyannote[59].speaker |
SPEAKER_02 |
| transcript.pyannote[59].start |
156.73221875 |
| transcript.pyannote[59].end |
157.91346875 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
158.95971875 |
| transcript.pyannote[60].end |
161.74409375 |
| transcript.pyannote[61].speaker |
SPEAKER_02 |
| transcript.pyannote[61].start |
162.18284375 |
| transcript.pyannote[61].end |
165.69284375 |
| transcript.pyannote[62].speaker |
SPEAKER_02 |
| transcript.pyannote[62].start |
165.94596875 |
| transcript.pyannote[62].end |
168.74721875 |
| transcript.pyannote[63].speaker |
SPEAKER_02 |
| transcript.pyannote[63].start |
169.25346875 |
| transcript.pyannote[63].end |
170.13096875 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
170.65409375 |
| transcript.pyannote[64].end |
171.51471875 |
| transcript.pyannote[65].speaker |
SPEAKER_02 |
| transcript.pyannote[65].start |
171.81846875 |
| transcript.pyannote[65].end |
173.67471875 |
| transcript.pyannote[66].speaker |
SPEAKER_02 |
| transcript.pyannote[66].start |
174.33284375 |
| transcript.pyannote[66].end |
176.02034375 |
| transcript.pyannote[67].speaker |
SPEAKER_02 |
| transcript.pyannote[67].start |
177.15096875 |
| transcript.pyannote[67].end |
178.01159375 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
178.88909375 |
| transcript.pyannote[68].end |
179.20971875 |
| transcript.pyannote[69].speaker |
SPEAKER_02 |
| transcript.pyannote[69].start |
180.15471875 |
| transcript.pyannote[69].end |
180.99846875 |
| transcript.pyannote[70].speaker |
SPEAKER_03 |
| transcript.pyannote[70].start |
180.89721875 |
| transcript.pyannote[70].end |
181.84221875 |
| transcript.pyannote[71].speaker |
SPEAKER_02 |
| transcript.pyannote[71].start |
182.24721875 |
| transcript.pyannote[71].end |
183.88409375 |
| transcript.pyannote[72].speaker |
SPEAKER_02 |
| transcript.pyannote[72].start |
184.32284375 |
| transcript.pyannote[72].end |
185.25096875 |
| transcript.pyannote[73].speaker |
SPEAKER_03 |
| transcript.pyannote[73].start |
185.80784375 |
| transcript.pyannote[73].end |
192.16971875 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
191.89971875 |
| transcript.pyannote[74].end |
193.51971875 |
| transcript.pyannote[75].speaker |
SPEAKER_03 |
| transcript.pyannote[75].start |
193.24971875 |
| transcript.pyannote[75].end |
193.60409375 |
| transcript.pyannote[76].speaker |
SPEAKER_02 |
| transcript.pyannote[76].start |
193.70534375 |
| transcript.pyannote[76].end |
198.37971875 |
| transcript.pyannote[77].speaker |
SPEAKER_02 |
| transcript.pyannote[77].start |
199.02096875 |
| transcript.pyannote[77].end |
204.40409375 |
| transcript.pyannote[78].speaker |
SPEAKER_02 |
| transcript.pyannote[78].start |
204.87659375 |
| transcript.pyannote[78].end |
211.79534375 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
212.21721875 |
| transcript.pyannote[79].end |
213.87096875 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
214.64721875 |
| transcript.pyannote[80].end |
215.62596875 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
216.65534375 |
| transcript.pyannote[81].end |
218.56221875 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
219.40596875 |
| transcript.pyannote[82].end |
221.11034375 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
222.81471875 |
| transcript.pyannote[83].end |
224.95784375 |
| transcript.pyannote[84].speaker |
SPEAKER_02 |
| transcript.pyannote[84].start |
225.29534375 |
| transcript.pyannote[84].end |
227.37096875 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
228.13034375 |
| transcript.pyannote[85].end |
229.27784375 |
| transcript.pyannote[86].speaker |
SPEAKER_02 |
| transcript.pyannote[86].start |
229.81784375 |
| transcript.pyannote[86].end |
230.77971875 |
| transcript.pyannote[87].speaker |
SPEAKER_02 |
| transcript.pyannote[87].start |
231.30284375 |
| transcript.pyannote[87].end |
232.43346875 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
233.54721875 |
| transcript.pyannote[88].end |
235.15034375 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
235.80846875 |
| transcript.pyannote[89].end |
238.39034375 |
| transcript.pyannote[90].speaker |
SPEAKER_02 |
| transcript.pyannote[90].start |
239.33534375 |
| transcript.pyannote[90].end |
240.21284375 |
| transcript.pyannote[91].speaker |
SPEAKER_02 |
| transcript.pyannote[91].start |
241.49534375 |
| transcript.pyannote[91].end |
243.68909375 |
| transcript.pyannote[92].speaker |
SPEAKER_02 |
| transcript.pyannote[92].start |
244.33034375 |
| transcript.pyannote[92].end |
244.93784375 |
| transcript.pyannote[93].speaker |
SPEAKER_02 |
| transcript.pyannote[93].start |
246.45659375 |
| transcript.pyannote[93].end |
247.06409375 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
249.51096875 |
| transcript.pyannote[94].end |
250.03409375 |
| transcript.pyannote[95].speaker |
SPEAKER_02 |
| transcript.pyannote[95].start |
250.65846875 |
| transcript.pyannote[95].end |
251.50221875 |
| transcript.pyannote[96].speaker |
SPEAKER_02 |
| transcript.pyannote[96].start |
251.63721875 |
| transcript.pyannote[96].end |
254.35409375 |
| transcript.pyannote[97].speaker |
SPEAKER_02 |
| transcript.pyannote[97].start |
254.69159375 |
| transcript.pyannote[97].end |
256.56471875 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
256.95284375 |
| transcript.pyannote[98].end |
258.37034375 |
| transcript.pyannote[99].speaker |
SPEAKER_02 |
| transcript.pyannote[99].start |
258.80909375 |
| transcript.pyannote[99].end |
259.46721875 |
| transcript.pyannote[100].speaker |
SPEAKER_02 |
| transcript.pyannote[100].start |
260.17596875 |
| transcript.pyannote[100].end |
261.96471875 |
| transcript.pyannote[101].speaker |
SPEAKER_02 |
| transcript.pyannote[101].start |
263.77034375 |
| transcript.pyannote[101].end |
268.34346875 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
268.61346875 |
| transcript.pyannote[102].end |
271.09409375 |
| transcript.pyannote[103].speaker |
SPEAKER_02 |
| transcript.pyannote[103].start |
271.49909375 |
| transcript.pyannote[103].end |
272.91659375 |
| transcript.pyannote[104].speaker |
SPEAKER_02 |
| transcript.pyannote[104].start |
273.49034375 |
| transcript.pyannote[104].end |
275.17784375 |
| transcript.pyannote[105].speaker |
SPEAKER_02 |
| transcript.pyannote[105].start |
275.86971875 |
| transcript.pyannote[105].end |
276.27471875 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
277.16909375 |
| transcript.pyannote[106].end |
281.32034375 |
| transcript.pyannote[107].speaker |
SPEAKER_03 |
| transcript.pyannote[107].start |
281.55659375 |
| transcript.pyannote[107].end |
282.01221875 |
| transcript.pyannote[108].speaker |
SPEAKER_02 |
| transcript.pyannote[108].start |
282.21471875 |
| transcript.pyannote[108].end |
283.61534375 |
| transcript.pyannote[109].speaker |
SPEAKER_02 |
| transcript.pyannote[109].start |
284.10471875 |
| transcript.pyannote[109].end |
285.11721875 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
285.67409375 |
| transcript.pyannote[110].end |
286.85534375 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
287.09159375 |
| transcript.pyannote[111].end |
290.36534375 |
| transcript.pyannote[112].speaker |
SPEAKER_02 |
| transcript.pyannote[112].start |
290.97284375 |
| transcript.pyannote[112].end |
291.88409375 |
| transcript.pyannote[113].speaker |
SPEAKER_02 |
| transcript.pyannote[113].start |
292.27221875 |
| transcript.pyannote[113].end |
293.21721875 |
| transcript.pyannote[114].speaker |
SPEAKER_02 |
| transcript.pyannote[114].start |
293.82471875 |
| transcript.pyannote[114].end |
294.58409375 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
295.19159375 |
| transcript.pyannote[115].end |
295.42784375 |
| transcript.pyannote[116].speaker |
SPEAKER_02 |
| transcript.pyannote[116].start |
295.73159375 |
| transcript.pyannote[116].end |
296.23784375 |
| transcript.pyannote[117].speaker |
SPEAKER_02 |
| transcript.pyannote[117].start |
297.50346875 |
| transcript.pyannote[117].end |
297.85784375 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
298.39784375 |
| transcript.pyannote[118].end |
301.89096875 |
| transcript.pyannote[119].speaker |
SPEAKER_02 |
| transcript.pyannote[119].start |
302.09346875 |
| transcript.pyannote[119].end |
309.41721875 |
| transcript.pyannote[120].speaker |
SPEAKER_03 |
| transcript.pyannote[120].start |
310.10909375 |
| transcript.pyannote[120].end |
314.80034375 |
| transcript.pyannote[121].speaker |
SPEAKER_02 |
| transcript.pyannote[121].start |
315.27284375 |
| transcript.pyannote[121].end |
343.16721875 |
| transcript.pyannote[122].speaker |
SPEAKER_02 |
| transcript.pyannote[122].start |
343.58909375 |
| transcript.pyannote[122].end |
345.74909375 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
345.90096875 |
| transcript.pyannote[123].end |
348.31409375 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
348.88784375 |
| transcript.pyannote[124].end |
351.62159375 |
| transcript.pyannote[125].speaker |
SPEAKER_02 |
| transcript.pyannote[125].start |
352.85346875 |
| transcript.pyannote[125].end |
353.20784375 |
| transcript.pyannote[126].speaker |
SPEAKER_02 |
| transcript.pyannote[126].start |
353.64659375 |
| transcript.pyannote[126].end |
354.25409375 |
| transcript.pyannote[127].speaker |
SPEAKER_02 |
| transcript.pyannote[127].start |
354.50721875 |
| transcript.pyannote[127].end |
355.35096875 |
| transcript.pyannote[128].speaker |
SPEAKER_02 |
| transcript.pyannote[128].start |
356.59971875 |
| transcript.pyannote[128].end |
360.83534375 |
| transcript.pyannote[129].speaker |
SPEAKER_02 |
| transcript.pyannote[129].start |
361.29096875 |
| transcript.pyannote[129].end |
365.89784375 |
| transcript.pyannote[130].speaker |
SPEAKER_02 |
| transcript.pyannote[130].start |
366.60659375 |
| transcript.pyannote[130].end |
368.68221875 |
| transcript.pyannote[131].speaker |
SPEAKER_02 |
| transcript.pyannote[131].start |
369.30659375 |
| transcript.pyannote[131].end |
373.89659375 |
| transcript.pyannote[132].speaker |
SPEAKER_02 |
| transcript.pyannote[132].start |
374.33534375 |
| transcript.pyannote[132].end |
376.22534375 |
| transcript.pyannote[133].speaker |
SPEAKER_02 |
| transcript.pyannote[133].start |
376.36034375 |
| transcript.pyannote[133].end |
377.71034375 |
| transcript.pyannote[134].speaker |
SPEAKER_02 |
| transcript.pyannote[134].start |
379.31346875 |
| transcript.pyannote[134].end |
380.86596875 |
| transcript.pyannote[135].speaker |
SPEAKER_02 |
| transcript.pyannote[135].start |
381.42284375 |
| transcript.pyannote[135].end |
387.36284375 |
| transcript.pyannote[136].speaker |
SPEAKER_02 |
| transcript.pyannote[136].start |
387.75096875 |
| transcript.pyannote[136].end |
391.61534375 |
| transcript.pyannote[137].speaker |
SPEAKER_03 |
| transcript.pyannote[137].start |
392.71221875 |
| transcript.pyannote[137].end |
399.63096875 |
| transcript.pyannote[138].speaker |
SPEAKER_02 |
| transcript.pyannote[138].start |
398.09534375 |
| transcript.pyannote[138].end |
403.39409375 |
| transcript.pyannote[139].speaker |
SPEAKER_03 |
| transcript.pyannote[139].start |
403.24221875 |
| transcript.pyannote[139].end |
405.72284375 |
| transcript.pyannote[140].speaker |
SPEAKER_02 |
| transcript.pyannote[140].start |
404.11971875 |
| transcript.pyannote[140].end |
407.27534375 |
| transcript.pyannote[141].speaker |
SPEAKER_03 |
| transcript.pyannote[141].start |
406.17846875 |
| transcript.pyannote[141].end |
407.51159375 |
| transcript.pyannote[142].speaker |
SPEAKER_02 |
| transcript.pyannote[142].start |
407.49471875 |
| transcript.pyannote[142].end |
411.96659375 |
| transcript.pyannote[143].speaker |
SPEAKER_02 |
| transcript.pyannote[143].start |
412.05096875 |
| transcript.pyannote[143].end |
413.43471875 |
| transcript.pyannote[144].speaker |
SPEAKER_02 |
| transcript.pyannote[144].start |
413.94096875 |
| transcript.pyannote[144].end |
428.20034375 |
| transcript.pyannote[145].speaker |
SPEAKER_03 |
| transcript.pyannote[145].start |
416.94471875 |
| transcript.pyannote[145].end |
418.00784375 |
| transcript.pyannote[146].speaker |
SPEAKER_02 |
| transcript.pyannote[146].start |
428.48721875 |
| transcript.pyannote[146].end |
432.65534375 |
| transcript.pyannote[147].speaker |
SPEAKER_03 |
| transcript.pyannote[147].start |
432.97596875 |
| transcript.pyannote[147].end |
445.96971875 |
| transcript.pyannote[148].speaker |
SPEAKER_02 |
| transcript.pyannote[148].start |
437.61659375 |
| transcript.pyannote[148].end |
456.02721875 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
445.96971875 |
| transcript.pyannote[149].end |
448.06221875 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
452.07846875 |
| transcript.pyannote[150].end |
452.12909375 |
| transcript.pyannote[151].speaker |
SPEAKER_03 |
| transcript.pyannote[151].start |
452.12909375 |
| transcript.pyannote[151].end |
452.33159375 |
| transcript.pyannote[152].speaker |
SPEAKER_03 |
| transcript.pyannote[152].start |
453.09096875 |
| transcript.pyannote[152].end |
453.64784375 |
| transcript.pyannote[153].speaker |
SPEAKER_03 |
| transcript.pyannote[153].start |
454.59284375 |
| transcript.pyannote[153].end |
454.69409375 |
| transcript.pyannote[154].speaker |
SPEAKER_03 |
| transcript.pyannote[154].start |
456.02721875 |
| transcript.pyannote[154].end |
456.06096875 |
| transcript.pyannote[155].speaker |
SPEAKER_02 |
| transcript.pyannote[155].start |
456.06096875 |
| transcript.pyannote[155].end |
456.46596875 |
| transcript.pyannote[156].speaker |
SPEAKER_03 |
| transcript.pyannote[156].start |
456.63471875 |
| transcript.pyannote[156].end |
457.68096875 |
| transcript.pyannote[157].speaker |
SPEAKER_02 |
| transcript.pyannote[157].start |
457.76534375 |
| transcript.pyannote[157].end |
457.98471875 |
| transcript.pyannote[158].speaker |
SPEAKER_03 |
| transcript.pyannote[158].start |
457.98471875 |
| transcript.pyannote[158].end |
458.01846875 |
| transcript.pyannote[159].speaker |
SPEAKER_02 |
| transcript.pyannote[159].start |
458.01846875 |
| transcript.pyannote[159].end |
458.03534375 |
| transcript.pyannote[160].speaker |
SPEAKER_03 |
| transcript.pyannote[160].start |
458.03534375 |
| transcript.pyannote[160].end |
458.10284375 |
| transcript.pyannote[161].speaker |
SPEAKER_02 |
| transcript.pyannote[161].start |
458.08596875 |
| transcript.pyannote[161].end |
460.53284375 |
| transcript.pyannote[162].speaker |
SPEAKER_03 |
| transcript.pyannote[162].start |
458.52471875 |
| transcript.pyannote[162].end |
459.21659375 |
| transcript.pyannote[163].speaker |
SPEAKER_03 |
| transcript.pyannote[163].start |
460.07721875 |
| transcript.pyannote[163].end |
463.21596875 |
| transcript.pyannote[164].speaker |
SPEAKER_03 |
| transcript.pyannote[164].start |
463.70534375 |
| transcript.pyannote[164].end |
463.87409375 |
| transcript.pyannote[165].speaker |
SPEAKER_03 |
| transcript.pyannote[165].start |
464.88659375 |
| transcript.pyannote[165].end |
469.98284375 |
| transcript.pyannote[166].speaker |
SPEAKER_02 |
| transcript.pyannote[166].start |
464.92034375 |
| transcript.pyannote[166].end |
469.44284375 |
| transcript.pyannote[167].speaker |
SPEAKER_02 |
| transcript.pyannote[167].start |
470.08409375 |
| transcript.pyannote[167].end |
480.79971875 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
474.60659375 |
| transcript.pyannote[168].end |
474.70784375 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
474.91034375 |
| transcript.pyannote[169].end |
475.58534375 |
| transcript.pyannote[170].speaker |
SPEAKER_02 |
| transcript.pyannote[170].start |
480.96846875 |
| transcript.pyannote[170].end |
484.81596875 |
| transcript.pyannote[171].speaker |
SPEAKER_02 |
| transcript.pyannote[171].start |
485.18721875 |
| transcript.pyannote[171].end |
489.79409375 |
| transcript.pyannote[172].speaker |
SPEAKER_03 |
| transcript.pyannote[172].start |
488.84909375 |
| transcript.pyannote[172].end |
491.90346875 |
| transcript.pyannote[173].speaker |
SPEAKER_02 |
| transcript.pyannote[173].start |
491.61659375 |
| transcript.pyannote[173].end |
492.81471875 |
| transcript.whisperx[0].start |
15.084 |
| transcript.whisperx[0].end |
16.905 |
| transcript.whisperx[0].text |
兩位好 兩位一定都有注意到川普公開說 |
| transcript.whisperx[1].start |
35.575 |
| transcript.whisperx[1].end |
61.807 |
| transcript.whisperx[1].text |
歐盟跟日本有八大非關稅的作弊手段我這個用得很重我們平常用的字眼叫做非關稅的貿易障礙嘛對不對他直接講說這是作弊這很顯然也會影響到我們台灣這段時間跟美國高關稅的談判兩位次長都有注意到對不對那剛剛有進一步去討論了裡面可能馬上影響到的就是貨物稅對不對 |
| transcript.whisperx[2].start |
66.121 |
| transcript.whisperx[2].end |
71.613 |
| transcript.whisperx[2].text |
那貨物稅目前我的了解就汽車啊價格一直居高不下 |
| transcript.whisperx[3].start |
72.728 |
| transcript.whisperx[3].end |
101.381 |
| transcript.whisperx[3].text |
很多民眾都抗議了財政部到目前好像都是講說是市場結果可是經濟部是贊成對不對那市長經濟部對於汽車的貨物稅降下來是持贊成的態度嗎這個部分民眾跟業者有一些的反應那至於說如何去進行與時俱進的調整我們會跟財政部一起來檢討這個非常重要你看川普已經明確點名了老蔣最近這一二十年來 |
| transcript.whisperx[4].start |
102.728 |
| transcript.whisperx[4].end |
122.086 |
| transcript.whisperx[4].text |
很多民眾跟立法院都在推動汽車貨物稅是要降的汽車那個價格真的太貴了而且保護的過頭了這次高關稅這個談判可能就是一個契機所以請經濟部你既然往這個方向在走在開會的時候不只建立財政部要往降這個汽車的貨物稅走好不好 |
| transcript.whisperx[5].start |
125.458 |
| transcript.whisperx[5].end |
152.539 |
| transcript.whisperx[5].text |
很多事情彷彿相扣委員這個指導的意見我們在內部評估或是相關的會議的話我們會妥善的來加以納入評估這千年的意義你看已經爭取了一二十年後來都被擋住可能這次就是一個歷史的契機可以把這個汽車的相關稅降下來我們來討論看看台灣的車價為什麼會拚高每次財政部都說它是市場結構公需其實 |
| transcript.whisperx[6].start |
155.322 |
| transcript.whisperx[6].end |
157.609 |
| transcript.whisperx[6].text |
最重要的關節在哪裡最重要的關鍵在哪裡 |
| transcript.whisperx[7].start |
159.629 |
| transcript.whisperx[7].end |
177.604 |
| transcript.whisperx[7].text |
萬萬稅嘛,就稅是出了問題嘛進口稅它基本上就是一個稅負的疊加至少42.5%起跳,我們看看咧它課幾種稅,而且大家知道嗎它是相乘的,一直乘上去第一個,進來要關稅對不對進來要關稅對不對要關稅嘛,進口關稅還要貨物稅,貨物稅現在多少 |
| transcript.whisperx[8].start |
186.131 |
| transcript.whisperx[8].end |
208.883 |
| transcript.whisperx[8].text |
後稅有兩種 一種是小客車2000cc以下25% 2000cc以上30%另外還有營業稅 營業稅因為每個都有繳 營業稅大家不要沒有意見現在大家有意見的 其實重點就是後稅我算給大家聽一下 大家看一下這個公式這樣算下來 用關稅1.175乘以後稅的1.25乘以營業稅的1.05你買不汽車啊 |
| transcript.whisperx[9].start |
214.69 |
| transcript.whisperx[9].end |
241.708 |
| transcript.whisperx[9].text |
本來一百塊的你要付到一百五十四塊就多了三分之一的價格出來這個稅不只太繁複的而且太多了你買進來之後要養這部車你還要牌照稅還要燃料稅還要強制保險全世界沒人像台灣這樣啦利用這個機會好好好好檢討一下我來做個比較各國進口車的這個關稅大家看一下 |
| transcript.whisperx[10].start |
244.383 |
| transcript.whisperx[10].end |
260.575 |
| transcript.whisperx[10].text |
美國 2.5%日本 日本本來這個後稅跟關稅本來是高的喔他慢慢慢慢降 他現在已經是0了新加坡也是0結果呢 我們有一個17.5%的關稅 |
| transcript.whisperx[11].start |
263.8 |
| transcript.whisperx[11].end |
275.967 |
| transcript.whisperx[11].text |
我們從2000年 2002年的時候我們關稅從60%降到30%2010年的時候又降 降到17.5%可是跟全世界比起來我們關稅已經太高了吧 對不對 次長 |
| transcript.whisperx[12].start |
277.239 |
| transcript.whisperx[12].end |
296.034 |
| transcript.whisperx[12].text |
現在更嚴重的是剛剛你剛才說的那個25%到30%的那個營業稅貨物稅那個加起來42.5%耶加上我剛剛講的營業稅你每買一部車進來就多加了三分之一的錢了那現在更嚴重的川普跟你講了這是一個作弊 |
| transcript.whisperx[13].start |
297.54 |
| transcript.whisperx[13].end |
308.029 |
| transcript.whisperx[13].text |
對不對所以利用這個時間點是不是好好去檢討一下可以嗎財政部可以利用這個機會好好去檢討一下把我們剛剛一直在強調的汽車的貨物稅 租賃的調降 |
| transcript.whisperx[14].start |
310.245 |
| transcript.whisperx[14].end |
327.943 |
| transcript.whisperx[14].text |
我們這次會配合那個對等關稅的談判會做一些因應的方案好 我最後做三個訴求因為那個主席已經舉起來了第一個這個是民眾也是包括中華經濟研究院他們的一個建議對貨物稅進行稅務透明跟公平化的這個檢視第二個 |
| transcript.whisperx[15].start |
329.344 |
| transcript.whisperx[15].end |
351.56 |
| transcript.whisperx[15].text |
用公共政策為名這個說客啊應該要有一個實際的數據第三個 要撤除錯誤的這個稅制才能夠真正減輕民眾的負擔其實啦 目前這個車價這麼高說來最大的是誰 就是消費者嘛好不好 包括中華經濟研究院都提醒了我們現在一直要加入這個CPTPP 對不對市長 兩位市長 我們要加入 |
| transcript.whisperx[16].start |
356.633 |
| transcript.whisperx[16].end |
377.35 |
| transcript.whisperx[16].text |
那明明確切就要求要調降我們進口的關稅進口車的關稅嘛對不對結果你說要加入CPTPP結果你那個汽車的關稅又不降你這不是自打嘴巴嗎前後就矛盾啊所以國際的歧視本來就要做還有照顧我們國內的這個消費者請好好趕快去討論好不好好那能不能在一個禮拜內 |
| transcript.whisperx[17].start |
379.706 |
| transcript.whisperx[17].end |
391.319 |
| transcript.whisperx[17].text |
這個應該是財政部的事吧對不對那個經濟部比較沒有意見要講吧還是兩個這樣好不好經濟部跟財政部一個禮拜內都給我一份關於我們的汽車貨物稅有沒有可能逐年調降的一個報告 |
| transcript.whisperx[18].start |
392.899 |
| transcript.whisperx[18].end |
413.211 |
| transcript.whisperx[18].text |
報告委員我們可不可以給我們長一點的時間因為我們現在這個部分有些事情我們還不方便在一個禮拜啦我跟你講為什麼要一個禮拜因為你馬上就要去談判了這個應該是你們的必考題市長聽我講聽我講這應該是去跟美國跟川普談判的必考題他已經講到清楚八大八大作弊裡面的 |
| transcript.whisperx[19].start |
414.211 |
| transcript.whisperx[19].end |
432.481 |
| transcript.whisperx[19].text |
裡面很重要一項就是這個啊你沒有準備你怎麼去談判所以這變成你一個籌碼嘛你把它準備好不只給本席給立法院你們帶去美國的時候也講我們在這個汽車的貨物稅我們要適度的降低啊你不用一次全部都取消啊可是這跟日本一樣啊你適度每一年逐步的把它下降啊 |
| transcript.whisperx[20].start |
433.318 |
| transcript.whisperx[20].end |
457.533 |
| transcript.whisperx[20].text |
因為這個畢竟還在談判的過程很多事情我們現在不適合他當作他的機密所以先不要給他這是你該做的事情吧時間可以了時間已經給你五分鐘了跟他多久主席你認為他應該多久給我這個報告這個要尊重他好不好因為這個要拿去跟美國談判你現在叫他拿出來不好啦真的不好 |
| transcript.whisperx[21].start |
458.315 |
| transcript.whisperx[21].end |
463.151 |
| transcript.whisperx[21].text |
不過你要有準備啦 那是必考題嘛我們如果有結果的時候 我們一定會跟委員報告的 |
| transcript.whisperx[22].start |
465.075 |
| transcript.whisperx[22].end |
491.751 |
| transcript.whisperx[22].text |
沒有錯啦 好啦 那一個月給我報告啦你一個月一定有談判了吧 對不對不好啦 不好啦沒有沒有 先這樣子啦 抱歉抱歉 我要講一下 主席已經主席這麼資深 有重量級已經站起來了 我沒有在講了時間已經拖很久了你第一個 你要跟全國的民眾引諾說你已經開始在檢討 因為這是必考題嘛你不可能 不可能不做研究 不做報告這個原理嘛 對不對那第二個 就是你們談判到一個階段你們要趕快把這個動態給大家看沒問題 我們如果可以對外說明的時候我們一定會對外說明的OK 好 謝謝 |