IVOD_ID |
160084 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160084 |
日期 |
2025-04-10 |
會議資料.會議代碼 |
委員會-11-3-20-7 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第7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 |
7 |
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7次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-10T11:17:41+08:00 |
結束時間 |
2025-04-10T11:29:42+08:00 |
影片長度 |
00:12:01 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/127fafa562dc97122aaa0d9a87ccc9d939fb4699fde532611a30f584bceeba990b4769cd08d8a1da5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
李坤城 |
委員發言時間 |
11:17:41 - 11:29:42 |
會議時間 |
2025-04-10T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第7次全體委員會議(事由:一、邀請中央銀行楊總裁金龍、金融監督管理委員會彭主任委員金隆、行政院主計總處陳主計長淑姿、財政部莊部長翠雲、經濟部郭部長智輝、農業部陳部長駿季就「川普對等關稅政策實施,對我國股匯市、經濟成長、物價、房市等項所造成之衝擊與因應措施」進行專題報告,並備質詢。
二、審查「納稅者權利保護法」4案:
(一)本院委員賴士葆等22人擬具「納稅者權利保護法部分條文修正草案」案。
(二)本院委員羅廷瑋等18人擬具「納稅者權利保護法第四條條文修正草案」案。
(三)本院委員林思銘等20人擬具「納稅者權利保護法第七條及第二十一條條文修正草案」案。
(四)本院委員林思銘等18人擬具「納稅者權利保護法第二十一條條文修正草案」案。
三、審查「加值型及非加值型營業稅法」9案:
(一) 本院委員鍾佳濱等18人、委員鍾佳濱等23人、委員郭國文等17人、委員吳沛憶等18人分別擬具「加值型及非加值型營業稅法部分條文修正草案」等4案。【本院委員吳沛憶等18人提案如經院會復議,則不予審查】
(二) 本院委員陳超明等18人、委員邱志偉等16人分別擬具「加值型及非加值型營業稅法第八條條文修正草案」等2案。
(三) 本院委員賴士葆等25人、委員顏寬恒等16人分別擬具「加值型及非加值型營業稅法第十三條條文修正草案」等2案。
(四) 本院委員賴士葆等22人擬具「加值型及非加值型營業稅法第五十八條條文修正草案」案。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
5.39721875 |
transcript.pyannote[0].end |
6.91596875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
6.93284375 |
transcript.pyannote[1].end |
9.58221875 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
9.78471875 |
transcript.pyannote[2].end |
10.67909375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
18.20534375 |
transcript.pyannote[3].end |
22.84596875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
19.30221875 |
transcript.pyannote[4].end |
25.09034375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
25.44471875 |
transcript.pyannote[5].end |
37.30784375 |
transcript.pyannote[6].speaker |
SPEAKER_03 |
transcript.pyannote[6].start |
37.30784375 |
transcript.pyannote[6].end |
37.62846875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
37.62846875 |
transcript.pyannote[7].end |
40.64909375 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
40.64909375 |
transcript.pyannote[8].end |
40.66596875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
40.66596875 |
transcript.pyannote[9].end |
46.31909375 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
40.76721875 |
transcript.pyannote[10].end |
41.17221875 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
46.31909375 |
transcript.pyannote[11].end |
46.45409375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
46.45409375 |
transcript.pyannote[12].end |
66.60284375 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
46.47096875 |
transcript.pyannote[13].end |
46.50471875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
57.45659375 |
transcript.pyannote[14].end |
57.47346875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
57.60846875 |
transcript.pyannote[15].end |
57.70971875 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
63.71721875 |
transcript.pyannote[16].end |
64.08846875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
66.82221875 |
transcript.pyannote[17].end |
72.64409375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
72.81284375 |
transcript.pyannote[18].end |
73.20096875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
73.79159375 |
transcript.pyannote[19].end |
77.68971875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
77.94284375 |
transcript.pyannote[20].end |
81.80721875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
82.02659375 |
transcript.pyannote[21].end |
82.56659375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
83.22471875 |
transcript.pyannote[22].end |
99.34034375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
87.51096875 |
transcript.pyannote[23].end |
87.78096875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
95.71221875 |
transcript.pyannote[24].end |
96.11721875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
99.25596875 |
transcript.pyannote[25].end |
101.21346875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
100.63971875 |
transcript.pyannote[26].end |
114.91596875 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
102.58034375 |
transcript.pyannote[27].end |
102.83346875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
108.45284375 |
transcript.pyannote[28].end |
108.50346875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
113.02596875 |
transcript.pyannote[29].end |
113.16096875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
114.91596875 |
transcript.pyannote[30].end |
117.98721875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
117.31221875 |
transcript.pyannote[31].end |
126.72846875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
118.15596875 |
transcript.pyannote[32].end |
120.60284375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
127.30221875 |
transcript.pyannote[33].end |
141.69659375 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
141.69659375 |
transcript.pyannote[34].end |
147.01221875 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
147.01221875 |
transcript.pyannote[35].end |
169.16909375 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
150.60659375 |
transcript.pyannote[36].end |
150.97784375 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
153.96471875 |
transcript.pyannote[37].end |
154.03221875 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
154.03221875 |
transcript.pyannote[38].end |
154.99409375 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
155.41596875 |
transcript.pyannote[39].end |
155.50034375 |
transcript.pyannote[40].speaker |
SPEAKER_03 |
transcript.pyannote[40].start |
155.60159375 |
transcript.pyannote[40].end |
155.71971875 |
transcript.pyannote[41].speaker |
SPEAKER_03 |
transcript.pyannote[41].start |
161.38971875 |
transcript.pyannote[41].end |
161.42346875 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
161.42346875 |
transcript.pyannote[42].end |
162.04784375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
164.95034375 |
transcript.pyannote[43].end |
165.08534375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
168.49409375 |
transcript.pyannote[44].end |
172.22346875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
170.35034375 |
transcript.pyannote[45].end |
170.53596875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
172.39221875 |
transcript.pyannote[46].end |
180.96471875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
175.14284375 |
transcript.pyannote[47].end |
175.48034375 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
178.21409375 |
transcript.pyannote[48].end |
178.23096875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
178.56846875 |
transcript.pyannote[49].end |
178.58534375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
181.23471875 |
transcript.pyannote[50].end |
183.34409375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
181.58909375 |
transcript.pyannote[51].end |
182.12909375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
183.20909375 |
transcript.pyannote[52].end |
197.85659375 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
185.40284375 |
transcript.pyannote[53].end |
185.41971875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
185.41971875 |
transcript.pyannote[54].end |
185.47034375 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
185.55471875 |
transcript.pyannote[55].end |
185.58846875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
198.17721875 |
transcript.pyannote[56].end |
204.77534375 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
199.42596875 |
transcript.pyannote[57].end |
199.51034375 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
204.77534375 |
transcript.pyannote[58].end |
204.91034375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
204.91034375 |
transcript.pyannote[59].end |
217.31346875 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
204.92721875 |
transcript.pyannote[60].end |
205.04534375 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
217.31346875 |
transcript.pyannote[61].end |
224.80596875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
223.30409375 |
transcript.pyannote[62].end |
248.00909375 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
245.68034375 |
transcript.pyannote[63].end |
246.03471875 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
248.00909375 |
transcript.pyannote[64].end |
248.22846875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
248.22846875 |
transcript.pyannote[65].end |
254.38784375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
253.72971875 |
transcript.pyannote[66].end |
253.84784375 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
253.84784375 |
transcript.pyannote[67].end |
253.89846875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
254.38784375 |
transcript.pyannote[68].end |
254.77596875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
254.77596875 |
transcript.pyannote[69].end |
257.62784375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
254.80971875 |
transcript.pyannote[70].end |
254.97846875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
257.62784375 |
transcript.pyannote[71].end |
257.64471875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
257.71221875 |
transcript.pyannote[72].end |
259.82159375 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
259.92284375 |
transcript.pyannote[73].end |
263.14596875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
263.14596875 |
transcript.pyannote[74].end |
288.45846875 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
272.35971875 |
transcript.pyannote[75].end |
272.39346875 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
272.41034375 |
transcript.pyannote[76].end |
272.42721875 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
280.20659375 |
transcript.pyannote[77].end |
280.22346875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
280.22346875 |
transcript.pyannote[78].end |
281.77596875 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
287.07471875 |
transcript.pyannote[79].end |
288.76221875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
288.71159375 |
transcript.pyannote[80].end |
324.03096875 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
303.62909375 |
transcript.pyannote[81].end |
308.87721875 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
322.00596875 |
transcript.pyannote[82].end |
322.44471875 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
324.03096875 |
transcript.pyannote[83].end |
324.57096875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
324.41909375 |
transcript.pyannote[84].end |
342.71159375 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
325.11096875 |
transcript.pyannote[85].end |
325.26284375 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
336.01221875 |
transcript.pyannote[86].end |
336.13034375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
336.13034375 |
transcript.pyannote[87].end |
336.16409375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
342.94784375 |
transcript.pyannote[88].end |
345.96846875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
345.96846875 |
transcript.pyannote[89].end |
346.37346875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
346.49159375 |
transcript.pyannote[90].end |
357.91596875 |
transcript.pyannote[91].speaker |
SPEAKER_03 |
transcript.pyannote[91].start |
351.82409375 |
transcript.pyannote[91].end |
352.34721875 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
358.13534375 |
transcript.pyannote[92].end |
361.81409375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
361.81409375 |
transcript.pyannote[93].end |
377.03534375 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
376.00596875 |
transcript.pyannote[94].end |
380.64659375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
377.25471875 |
transcript.pyannote[95].end |
407.42721875 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
383.00909375 |
transcript.pyannote[96].end |
383.19471875 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
407.37659375 |
transcript.pyannote[97].end |
407.79846875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
407.79846875 |
transcript.pyannote[98].end |
417.60284375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
417.60284375 |
transcript.pyannote[99].end |
422.69909375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
423.13784375 |
transcript.pyannote[100].end |
437.70096875 |
transcript.pyannote[101].speaker |
SPEAKER_03 |
transcript.pyannote[101].start |
432.08159375 |
transcript.pyannote[101].end |
432.40221875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
436.82346875 |
transcript.pyannote[102].end |
439.00034375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
439.00034375 |
transcript.pyannote[103].end |
440.01284375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
440.01284375 |
transcript.pyannote[104].end |
449.34471875 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
449.66534375 |
transcript.pyannote[105].end |
449.80034375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
449.80034375 |
transcript.pyannote[106].end |
449.95221875 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
449.95221875 |
transcript.pyannote[107].end |
450.01971875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
450.01971875 |
transcript.pyannote[108].end |
454.27221875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
454.55909375 |
transcript.pyannote[109].end |
458.76096875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
458.49096875 |
transcript.pyannote[110].end |
469.35846875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
467.87346875 |
transcript.pyannote[111].end |
469.32471875 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
469.35846875 |
transcript.pyannote[112].end |
469.39221875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
469.39221875 |
transcript.pyannote[113].end |
469.40909375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
469.64534375 |
transcript.pyannote[114].end |
477.44159375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
474.92721875 |
transcript.pyannote[115].end |
474.94409375 |
transcript.pyannote[116].speaker |
SPEAKER_03 |
transcript.pyannote[116].start |
474.94409375 |
transcript.pyannote[116].end |
475.16346875 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
477.44159375 |
transcript.pyannote[117].end |
477.91409375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
477.91409375 |
transcript.pyannote[118].end |
489.30471875 |
transcript.pyannote[119].speaker |
SPEAKER_03 |
transcript.pyannote[119].start |
489.30471875 |
transcript.pyannote[119].end |
489.43971875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
489.43971875 |
transcript.pyannote[120].end |
493.57409375 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
493.57409375 |
transcript.pyannote[121].end |
494.01284375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
493.94534375 |
transcript.pyannote[122].end |
505.52159375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
505.89284375 |
transcript.pyannote[123].end |
508.96409375 |
transcript.pyannote[124].speaker |
SPEAKER_03 |
transcript.pyannote[124].start |
508.96409375 |
transcript.pyannote[124].end |
509.41971875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
509.41971875 |
transcript.pyannote[125].end |
517.11471875 |
transcript.pyannote[126].speaker |
SPEAKER_03 |
transcript.pyannote[126].start |
517.11471875 |
transcript.pyannote[126].end |
517.41846875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
517.70534375 |
transcript.pyannote[127].end |
526.17659375 |
transcript.pyannote[128].speaker |
SPEAKER_03 |
transcript.pyannote[128].start |
526.17659375 |
transcript.pyannote[128].end |
526.29471875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
526.29471875 |
transcript.pyannote[129].end |
532.43721875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
532.58909375 |
transcript.pyannote[130].end |
534.02346875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
534.02346875 |
transcript.pyannote[131].end |
534.10784375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
534.10784375 |
transcript.pyannote[132].end |
534.90096875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
534.90096875 |
transcript.pyannote[133].end |
549.76784375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
540.13221875 |
transcript.pyannote[134].end |
540.14909375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
540.25034375 |
transcript.pyannote[135].end |
542.84909375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
544.23284375 |
transcript.pyannote[136].end |
551.18534375 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
551.18534375 |
transcript.pyannote[137].end |
551.53971875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
551.20221875 |
transcript.pyannote[138].end |
551.25284375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
551.53971875 |
transcript.pyannote[139].end |
556.61909375 |
transcript.pyannote[140].speaker |
SPEAKER_03 |
transcript.pyannote[140].start |
556.83846875 |
transcript.pyannote[140].end |
557.09159375 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
557.34471875 |
transcript.pyannote[141].end |
559.87596875 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
558.37409375 |
transcript.pyannote[142].end |
558.57659375 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
560.17971875 |
transcript.pyannote[143].end |
562.87971875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
562.30596875 |
transcript.pyannote[144].end |
571.03034375 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
571.03034375 |
transcript.pyannote[145].end |
573.71346875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
571.95846875 |
transcript.pyannote[146].end |
572.46471875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
573.59534375 |
transcript.pyannote[147].end |
577.84784375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
575.67096875 |
transcript.pyannote[148].end |
575.99159375 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
577.99971875 |
transcript.pyannote[149].end |
578.01659375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
578.01659375 |
transcript.pyannote[150].end |
578.03346875 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
578.03346875 |
transcript.pyannote[151].end |
578.21909375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
578.21909375 |
transcript.pyannote[152].end |
581.52659375 |
transcript.pyannote[153].speaker |
SPEAKER_03 |
transcript.pyannote[153].start |
578.25284375 |
transcript.pyannote[153].end |
578.28659375 |
transcript.pyannote[154].speaker |
SPEAKER_03 |
transcript.pyannote[154].start |
581.47596875 |
transcript.pyannote[154].end |
581.64471875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
581.64471875 |
transcript.pyannote[155].end |
583.66971875 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
583.58534375 |
transcript.pyannote[156].end |
584.17596875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
583.93971875 |
transcript.pyannote[157].end |
588.76596875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
589.00221875 |
transcript.pyannote[158].end |
589.76159375 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
589.06971875 |
transcript.pyannote[159].end |
592.24221875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
592.24221875 |
transcript.pyannote[160].end |
592.25909375 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
592.34346875 |
transcript.pyannote[161].end |
598.38471875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
598.19909375 |
transcript.pyannote[162].end |
598.57034375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
598.46909375 |
transcript.pyannote[163].end |
598.55346875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
598.57034375 |
transcript.pyannote[164].end |
602.09721875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
602.35034375 |
transcript.pyannote[165].end |
606.53534375 |
transcript.pyannote[166].speaker |
SPEAKER_03 |
transcript.pyannote[166].start |
606.53534375 |
transcript.pyannote[166].end |
607.24409375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
607.24409375 |
transcript.pyannote[167].end |
611.46284375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
611.47971875 |
transcript.pyannote[168].end |
611.51346875 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
611.51346875 |
transcript.pyannote[169].end |
616.69409375 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
619.36034375 |
transcript.pyannote[170].end |
620.32221875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
620.57534375 |
transcript.pyannote[171].end |
621.53721875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
622.07721875 |
transcript.pyannote[172].end |
622.70159375 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
622.97159375 |
transcript.pyannote[173].end |
625.78971875 |
transcript.pyannote[174].speaker |
SPEAKER_04 |
transcript.pyannote[174].start |
624.20346875 |
transcript.pyannote[174].end |
625.01346875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
625.92471875 |
transcript.pyannote[175].end |
639.64409375 |
transcript.pyannote[176].speaker |
SPEAKER_04 |
transcript.pyannote[176].start |
640.80846875 |
transcript.pyannote[176].end |
665.85096875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
646.46159375 |
transcript.pyannote[177].end |
647.77784375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
652.67159375 |
transcript.pyannote[178].end |
652.72221875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
664.87221875 |
transcript.pyannote[179].end |
665.10846875 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
665.85096875 |
transcript.pyannote[180].end |
671.95971875 |
transcript.pyannote[181].speaker |
SPEAKER_04 |
transcript.pyannote[181].start |
666.34034375 |
transcript.pyannote[181].end |
666.37409375 |
transcript.pyannote[182].speaker |
SPEAKER_04 |
transcript.pyannote[182].start |
671.18346875 |
transcript.pyannote[182].end |
677.56221875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
677.29221875 |
transcript.pyannote[183].end |
677.30909375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
677.30909375 |
transcript.pyannote[184].end |
678.03471875 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
678.03471875 |
transcript.pyannote[185].end |
678.87846875 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
678.72659375 |
transcript.pyannote[186].end |
678.76034375 |
transcript.pyannote[187].speaker |
SPEAKER_04 |
transcript.pyannote[187].start |
678.76034375 |
transcript.pyannote[187].end |
682.32096875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
681.20721875 |
transcript.pyannote[188].end |
681.69659375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
682.35471875 |
transcript.pyannote[189].end |
694.99409375 |
transcript.pyannote[190].speaker |
SPEAKER_03 |
transcript.pyannote[190].start |
694.99409375 |
transcript.pyannote[190].end |
695.36534375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
695.26409375 |
transcript.pyannote[191].end |
709.82721875 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
709.82721875 |
transcript.pyannote[192].end |
711.46409375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
709.87784375 |
transcript.pyannote[193].end |
710.41784375 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
711.81846875 |
transcript.pyannote[194].end |
718.11284375 |
transcript.pyannote[195].speaker |
SPEAKER_04 |
transcript.pyannote[195].start |
715.09221875 |
transcript.pyannote[195].end |
715.76721875 |
transcript.pyannote[196].speaker |
SPEAKER_04 |
transcript.pyannote[196].start |
717.53909375 |
transcript.pyannote[196].end |
719.31096875 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
719.31096875 |
transcript.pyannote[197].end |
719.47971875 |
transcript.pyannote[198].speaker |
SPEAKER_04 |
transcript.pyannote[198].start |
719.47971875 |
transcript.pyannote[198].end |
721.15034375 |
transcript.whisperx[0].start |
5.384 |
transcript.whisperx[0].end |
10.24 |
transcript.whisperx[0].text |
好 謝謝主席我們請這個央行 央總裁央總裁請 |
transcript.whisperx[1].start |
18.44 |
transcript.whisperx[1].end |
45.436 |
transcript.whisperx[1].text |
李委員早部長好辛苦了我還記得我們在3月27號的時候還有這個針對所謂的什麼川普政府對等關稅策略與我國被列入骯髒15國名單有來做一個專案報告結果發現不是骯髒15國一公佈的時候發現全世界都有不過我看了一下當時候的這個央行的這個報告 |
transcript.whisperx[2].start |
47.417 |
transcript.whisperx[2].end |
69.375 |
transcript.whisperx[2].text |
其實你們那時候說到說台灣跟美國的關稅的差距啦這個如果按照這一個貿易加權平均的關稅來計算的話台灣是1.7%美國是2.2%其實台灣還低於美國0.5個百分點那如果按照簡單平均的關稅來算一算台灣呢是6.5那高於美國的這個3.2%多了3.3% |
transcript.whisperx[3].start |
73.998 |
transcript.whisperx[3].end |
97.67 |
transcript.whisperx[3].text |
就是說從當時候三月底的這一個報告來看的話總裁有想到說最後川普的算法是這樣子的嗎沒有因為我認為我當時我們的推論是說第一個我對等你講對等關稅因為對等我們加權平均都比你低當然雖然就是說簡單平均我們比他高沒有錯而且主要的就是來農產品 |
transcript.whisperx[4].start |
99.391 |
transcript.whisperx[4].end |
126.292 |
transcript.whisperx[4].text |
但是也就是3.3而已啊對嘛 那這是第一點第二點呢 我們也認為就是說事實上呢台灣最近幾年對你的粗糙呢這些的產品都是你最需要的而且對你很有貢獻的對你的經濟發展很有貢獻所以那時候你是說其實是產業的互補對 是互補啊不是不公平貿易嘛我們的這些產品包括SERVER這些AI SERVER這些對它的那個生產力的提升 |
transcript.whisperx[5].start |
127.546 |
transcript.whisperx[5].end |
146.805 |
transcript.whisperx[5].text |
還有就是對他國防安全航太領域這些都有貢獻的所以我們才會覺得就是說應該不至於對我們台灣的這個對等關稅會扣那麼高所以那時候一個最壞的這個預想的一個策略會被課到多少那時候 |
transcript.whisperx[6].start |
147.105 |
transcript.whisperx[6].end |
163.95 |
transcript.whisperx[6].text |
那時候他也有提到基本是10%那時候頂多我們也是想大概是10%那你現在就是說他是用那個公式是非常不合理的就是說用第一個他是用你對他的逆差第二個除上你對他的一個出口所以這個方案是你們從來沒有想過沒有想到 |
transcript.whisperx[7].start |
172.432 |
transcript.whisperx[7].end |
197.543 |
transcript.whisperx[7].text |
那現在又從32%又降到10%了又回到這個基礎關稅來了那總裁想說這中間的轉折是怎麼樣這美國自己也受不了了嗎我也覺得是這樣子因為剛剛我也在講就是說第一個他也沒有想到就是說他的這個對等關稅一公佈了之後呢事實上最先反映的是他本國的 |
transcript.whisperx[8].start |
198.263 |
transcript.whisperx[8].end |
214.538 |
transcript.whisperx[8].text |
他的股市整個股市你看跌的那麼多那其他的國家的股市呢也就隨著多跌所以呢而且連續的他如果說不做這樣的一個踩煞車的時候呢就是說有這三個月的一個緩衝期的話那這樣的話呢股市下去的話是會崩盤的所以總裁認為說川普的轉折是跟自己國內的這一個股市 |
transcript.whisperx[9].start |
224.907 |
transcript.whisperx[9].end |
244.897 |
transcript.whisperx[9].text |
還有剛剛也有委員談到就是說他的公債的利率這樣彈升上來他也會有一點怕為什麼呢美國財政部特別是美國財政部他都希望他的長期的公債的殖利率能夠下來那沒有想到就是說他下來到3.9幾的時候最近又爬到4.33所以他也太緊張了 |
transcript.whisperx[10].start |
248.399 |
transcript.whisperx[10].end |
250.702 |
transcript.whisperx[10].text |
所以我是覺得4.33對美國財政部的財政負擔是蠻大的所以我覺得這就是一個轉折點無論如何也爭取到三個月時間了那三個月時間總裁有什麼樣的建議嗎 |
transcript.whisperx[11].start |
263.356 |
transcript.whisperx[11].end |
273.845 |
transcript.whisperx[11].text |
所以我總覺得我剛剛也是在講就是說三個月的時間當然大家就整個市場就說鬆了一口氣鬆了一口氣你看看美國的股市都是每個都上漲 |
transcript.whisperx[12].start |
280.59 |
transcript.whisperx[12].end |
296.125 |
transcript.whisperx[12].text |
他的reaction就是利多嘛包括我相信亞洲的大概也是台灣的也是嘛不過呢我剛剛也在講就是說事實上呢因為三個月只是這個時間而已三個月時間如果說大家要來談判的話三個月是足夠長 |
transcript.whisperx[13].start |
299.688 |
transcript.whisperx[13].end |
323.807 |
transcript.whisperx[13].text |
可以讓他美國跟這些國家來談就台灣來講總裁也是很好啊但是問題還是有什麼優先來做的但是問題就是說這個三個月也是很長的三個月很長的話整個的金融市場還是因為他的uncertainty他的不確定性還是依然存在因為不曉得他的 outcome 是什麼 |
transcript.whisperx[14].start |
325.188 |
transcript.whisperx[14].end |
345.539 |
transcript.whisperx[14].text |
所以也就是說在這段期間股市還有包括其他匯市債市也都是一樣的它還是會上上下下上上下下而且波動度也應該從上一次的波動非常大的之後它可能會減少波動但是它的波動度還是會大的好 |
transcript.whisperx[15].start |
347.04 |
transcript.whisperx[15].end |
374.043 |
transcript.whisperx[15].text |
那我請教一下那這樣子對於台灣的經濟的成長率會不會有影響本來預估是大概是3.14那現在就是說會受到影響有可能最差會到1.4%那好一點的話2.6%那總裁這邊的想法咧我覺得所以也就是說在這一次的評估裡面我們就沒有把我們的評估把它揭露出來為什麼因為我們總覺得這是一個uncertainty |
transcript.whisperx[16].start |
374.743 |
transcript.whisperx[16].end |
379.605 |
transcript.whisperx[16].text |
但是總是有影響嘛所以我們才扣的這些投資因因為到目前為止IMF跟那個BIS還有就是ADB這些OECD都還沒有來估測說對整個全球經濟的影響是怎麼樣對個別國家的影響是怎麼樣到目前他們還沒有 |
transcript.whisperx[17].start |
397.072 |
transcript.whisperx[17].end |
422.367 |
transcript.whisperx[17].text |
但是呢投資銀行他就有一些的評估所以我們就引用了這個評估但是呢我們有一個但書我們說這都是參考參考因為到目前為止呢整個的情勢都還沒有非常的明朗所以我們現在做這樣的一個評估的時候有些時候呢會嚇到自己那如果就是說最後如果是10%的關稅好了那總裁認為說寶山有可能嗎 |
transcript.whisperx[18].start |
423.631 |
transcript.whisperx[18].end |
448.882 |
transcript.whisperx[18].text |
這個我們必須要再做評估我也沒辦法說在這裡就馬上跟委員說就可以保持這個3%的經濟成長力到目前為止我覺得我們必須要總裁認為不確定性太高了對對對對那請教一下這個關稅對等關稅它裡面除了貿易逆差之外它有提到說這個所謂的匯率的操縱 |
transcript.whisperx[19].start |
451.263 |
transcript.whisperx[19].end |
467.57 |
transcript.whisperx[19].text |
匯率的操縱我跟委員報告一下匯率的操縱這個我看指標上面其實是有達到它的這個對 這個就是說匯率的這個問題基本上它當然它有說這個可能會涉及到它的逆差跟匯率有一些的關聯對啊 有出超碼 |
transcript.whisperx[20].start |
469.731 |
transcript.whisperx[20].end |
493.34 |
transcript.whisperx[20].text |
但是我認為事實上匯率的這個部分是美國財政部的主權所以我上一次的報告裡面我也提到就是說美國財政部在4月是因為那時候一般來講他都會在4月中會提出他的匯率報告那他的匯率報告他就會提出他的看法 |
transcript.whisperx[21].start |
494.781 |
transcript.whisperx[21].end |
512.867 |
transcript.whisperx[21].text |
他的看法所以呢我現在呢要跟委員報告的就是說事實上呢關稅關稅的這個議題呢是美國政府美國的總統有這個緊急的緊急的那個發布命令的那個權限但是呢財政部的這個會議報告他的會議報告我跟委員報告他的會議報告是國會通過的 |
transcript.whisperx[22].start |
517.788 |
transcript.whisperx[22].end |
521.612 |
transcript.whisperx[22].text |
他的匯率報告是國會通過的他是1988年綜合貿易及競爭力法案還有2015年貿易變節化及貿易執行法案這個都是國會通過的 |
transcript.whisperx[23].start |
532.705 |
transcript.whisperx[23].end |
555.454 |
transcript.whisperx[23].text |
他國會通過的他有一定的標準總裁我是說如果按照這一個美國財政部的標準來講的話其實我們有兩個指標包含這一個對美國貿易的粗糙經常這樣的順差其實都有達到那我是說這方面的話會不會被美國我們匯率沒有啊我們匯率我們還是賣啊我們還是在賣啊他的第三個標準是說你要單邊的買 |
transcript.whisperx[24].start |
557.535 |
transcript.whisperx[24].end |
578.26 |
transcript.whisperx[24].text |
我們沒有啊我們反而是在賣啊所以總裁認為說不會因為這樣子被美國如果說根據美國國會所通過的這個法案的三個標準按照道理我們是不會列在裡面的所以總裁認為說不會就對了我們是覺得是不會的但是呢現在就是說態度他 |
transcript.whisperx[25].start |
579.16 |
transcript.whisperx[25].end |
601.66 |
transcript.whisperx[25].text |
現在就是說財政部長的態度還有就川普總統的態度因為這個匯率報告畢竟還是要通過川普總統的看過看起來美國財政部長是對這個關稅是踩煞車的啦我想就是說因為這個標準是國會通過的所以國會通過的話你不能就是說是 |
transcript.whisperx[26].start |
602.581 |
transcript.whisperx[26].end |
610.854 |
transcript.whisperx[26].text |
是對國會的這三個標準做某些的扭曲這個是跟他的關稅是不大一樣的總裁請回最後一點時間我請財政部莊部長 |
transcript.whisperx[27].start |
619.597 |
transcript.whisperx[27].end |
626.28 |
transcript.whisperx[27].text |
關於對等關稅 它裡面有提到台灣裡面有一些非關稅的障礙那我們的經貿談判辦公室有指出有七項非關稅的障礙那其中跟財政部有相關的要怎麼去做處理 |
transcript.whisperx[28].start |
640.871 |
transcript.whisperx[28].end |
647.735 |
transcript.whisperx[28].text |
是,對於非關稅障礙這個部分,經貿辦公室都逐一在談對,那我說跟財政部那在財政部那個部分當然也有提到所謂的違規轉運,就是息產地的部分那那個部分我們海關跟我們的經濟部其實在從107年中美貿易戰以後已經建立起一個非常好的一個機制來做事前的預防、事中的管理及事後的嚴懲這個部分 |
transcript.whisperx[29].start |
666.327 |
transcript.whisperx[29].end |
687.668 |
transcript.whisperx[29].text |
那我是說在對等關稅成立之後有沒有新的措施來做法因為你要因應新的情勢啊我們又在希望能夠再精進那海關這邊已經檢討以後就更精進的一些作為署長有要做補充的嗎那個關務署署長可以再說明那個精進的措施報告委員我簡短報告一下我們已經立即成立了一個強力查核小組在各關 |
transcript.whisperx[30].start |
688.328 |
transcript.whisperx[30].end |
703.294 |
transcript.whisperx[30].text |
都要組這個強力者查核小組違規轉運那由官務長或副官務長要親自帶隊那頻率會非常高查核的頻率會非常高另外我們會建立一個專一的風險管理系統專門針對違規轉運來做精準的一個打擊因為洗產業這個是很嚴重啦為什麼像越南這些國家 |
transcript.whisperx[31].start |
712.179 |
transcript.whisperx[31].end |
717.611 |
transcript.whisperx[31].text |
開始被課那麼多關稅就是它涉及席產地啦所以這方面我要盡量避免好不好好謝謝主席謝謝謝謝委員謝謝 |