IVOD_ID |
160098 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160098 |
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 |
2025-04-10T11:48:16+08:00 |
結束時間 |
2025-04-10T11:59:12+08:00 |
影片長度 |
00:10:56 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/127fafa562dc97122775cfcb07e11cd839fb4699fde532611a30f584bceeba9975b8ca2af51068035ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
黃珊珊 |
委員發言時間 |
11:48:16 - 11:59:12 |
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_04 |
transcript.pyannote[0].start |
3.57471875 |
transcript.pyannote[0].end |
6.13971875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
6.35909375 |
transcript.pyannote[1].end |
6.39284375 |
transcript.pyannote[2].speaker |
SPEAKER_04 |
transcript.pyannote[2].start |
6.39284375 |
transcript.pyannote[2].end |
7.47284375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
6.42659375 |
transcript.pyannote[3].end |
8.38409375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
8.41784375 |
transcript.pyannote[4].end |
12.67034375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
12.94034375 |
transcript.pyannote[5].end |
14.89784375 |
transcript.pyannote[6].speaker |
SPEAKER_04 |
transcript.pyannote[6].start |
15.30284375 |
transcript.pyannote[6].end |
16.43346875 |
transcript.pyannote[7].speaker |
SPEAKER_04 |
transcript.pyannote[7].start |
16.75409375 |
transcript.pyannote[7].end |
17.78346875 |
transcript.pyannote[8].speaker |
SPEAKER_04 |
transcript.pyannote[8].start |
17.96909375 |
transcript.pyannote[8].end |
18.49221875 |
transcript.pyannote[9].speaker |
SPEAKER_04 |
transcript.pyannote[9].start |
18.50909375 |
transcript.pyannote[9].end |
18.57659375 |
transcript.pyannote[10].speaker |
SPEAKER_04 |
transcript.pyannote[10].start |
21.83346875 |
transcript.pyannote[10].end |
22.69409375 |
transcript.pyannote[11].speaker |
SPEAKER_04 |
transcript.pyannote[11].start |
22.96409375 |
transcript.pyannote[11].end |
32.27909375 |
transcript.pyannote[12].speaker |
SPEAKER_04 |
transcript.pyannote[12].start |
32.68409375 |
transcript.pyannote[12].end |
33.17346875 |
transcript.pyannote[13].speaker |
SPEAKER_04 |
transcript.pyannote[13].start |
34.60784375 |
transcript.pyannote[13].end |
35.23221875 |
transcript.pyannote[14].speaker |
SPEAKER_04 |
transcript.pyannote[14].start |
35.82284375 |
transcript.pyannote[14].end |
36.68346875 |
transcript.pyannote[15].speaker |
SPEAKER_04 |
transcript.pyannote[15].start |
36.80159375 |
transcript.pyannote[15].end |
37.64534375 |
transcript.pyannote[16].speaker |
SPEAKER_04 |
transcript.pyannote[16].start |
37.94909375 |
transcript.pyannote[16].end |
40.56471875 |
transcript.pyannote[17].speaker |
SPEAKER_04 |
transcript.pyannote[17].start |
40.64909375 |
transcript.pyannote[17].end |
43.06221875 |
transcript.pyannote[18].speaker |
SPEAKER_04 |
transcript.pyannote[18].start |
43.63596875 |
transcript.pyannote[18].end |
52.66409375 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
53.37284375 |
transcript.pyannote[19].end |
54.16596875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
54.62159375 |
transcript.pyannote[20].end |
61.21971875 |
transcript.pyannote[21].speaker |
SPEAKER_04 |
transcript.pyannote[21].start |
60.13971875 |
transcript.pyannote[21].end |
62.92409375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
61.62471875 |
transcript.pyannote[22].end |
64.81409375 |
transcript.pyannote[23].speaker |
SPEAKER_04 |
transcript.pyannote[23].start |
63.27846875 |
transcript.pyannote[23].end |
72.91409375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
72.82971875 |
transcript.pyannote[24].end |
73.23471875 |
transcript.pyannote[25].speaker |
SPEAKER_04 |
transcript.pyannote[25].start |
73.18409375 |
transcript.pyannote[25].end |
79.83284375 |
transcript.pyannote[26].speaker |
SPEAKER_04 |
transcript.pyannote[26].start |
79.93409375 |
transcript.pyannote[26].end |
80.74409375 |
transcript.pyannote[27].speaker |
SPEAKER_04 |
transcript.pyannote[27].start |
80.99721875 |
transcript.pyannote[27].end |
81.68909375 |
transcript.pyannote[28].speaker |
SPEAKER_04 |
transcript.pyannote[28].start |
82.07721875 |
transcript.pyannote[28].end |
82.54971875 |
transcript.pyannote[29].speaker |
SPEAKER_04 |
transcript.pyannote[29].start |
83.17409375 |
transcript.pyannote[29].end |
88.00034375 |
transcript.pyannote[30].speaker |
SPEAKER_04 |
transcript.pyannote[30].start |
88.40534375 |
transcript.pyannote[30].end |
89.11409375 |
transcript.pyannote[31].speaker |
SPEAKER_04 |
transcript.pyannote[31].start |
90.19409375 |
transcript.pyannote[31].end |
95.52659375 |
transcript.pyannote[32].speaker |
SPEAKER_04 |
transcript.pyannote[32].start |
95.67846875 |
transcript.pyannote[32].end |
96.77534375 |
transcript.pyannote[33].speaker |
SPEAKER_04 |
transcript.pyannote[33].start |
97.16346875 |
transcript.pyannote[33].end |
97.66971875 |
transcript.pyannote[34].speaker |
SPEAKER_04 |
transcript.pyannote[34].start |
97.95659375 |
transcript.pyannote[34].end |
98.90159375 |
transcript.pyannote[35].speaker |
SPEAKER_04 |
transcript.pyannote[35].start |
99.84659375 |
transcript.pyannote[35].end |
101.12909375 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
101.34846875 |
transcript.pyannote[36].end |
130.17096875 |
transcript.pyannote[37].speaker |
SPEAKER_04 |
transcript.pyannote[37].start |
110.14034375 |
transcript.pyannote[37].end |
110.49471875 |
transcript.pyannote[38].speaker |
SPEAKER_04 |
transcript.pyannote[38].start |
111.35534375 |
transcript.pyannote[38].end |
115.11846875 |
transcript.pyannote[39].speaker |
SPEAKER_04 |
transcript.pyannote[39].start |
115.23659375 |
transcript.pyannote[39].end |
119.77596875 |
transcript.pyannote[40].speaker |
SPEAKER_04 |
transcript.pyannote[40].start |
128.43284375 |
transcript.pyannote[40].end |
128.87159375 |
transcript.pyannote[41].speaker |
SPEAKER_04 |
transcript.pyannote[41].start |
129.25971875 |
transcript.pyannote[41].end |
130.01909375 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
130.22159375 |
transcript.pyannote[42].end |
133.02284375 |
transcript.pyannote[43].speaker |
SPEAKER_04 |
transcript.pyannote[43].start |
133.02284375 |
transcript.pyannote[43].end |
134.10284375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
133.78221875 |
transcript.pyannote[44].end |
133.90034375 |
transcript.pyannote[45].speaker |
SPEAKER_04 |
transcript.pyannote[45].start |
134.33909375 |
transcript.pyannote[45].end |
152.04096875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
141.44346875 |
transcript.pyannote[46].end |
141.79784375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
144.85221875 |
transcript.pyannote[47].end |
145.25721875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
145.25721875 |
transcript.pyannote[48].end |
145.47659375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
145.47659375 |
transcript.pyannote[49].end |
145.61159375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
148.44659375 |
transcript.pyannote[50].end |
161.96346875 |
transcript.pyannote[51].speaker |
SPEAKER_04 |
transcript.pyannote[51].start |
154.47096875 |
transcript.pyannote[51].end |
155.21346875 |
transcript.pyannote[52].speaker |
SPEAKER_04 |
transcript.pyannote[52].start |
161.03534375 |
transcript.pyannote[52].end |
161.72721875 |
transcript.pyannote[53].speaker |
SPEAKER_04 |
transcript.pyannote[53].start |
161.96346875 |
transcript.pyannote[53].end |
172.03784375 |
transcript.pyannote[54].speaker |
SPEAKER_04 |
transcript.pyannote[54].start |
172.49346875 |
transcript.pyannote[54].end |
179.76659375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
179.98596875 |
transcript.pyannote[55].end |
190.12784375 |
transcript.pyannote[56].speaker |
SPEAKER_04 |
transcript.pyannote[56].start |
189.28409375 |
transcript.pyannote[56].end |
191.24159375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
191.12346875 |
transcript.pyannote[57].end |
197.18159375 |
transcript.pyannote[58].speaker |
SPEAKER_04 |
transcript.pyannote[58].start |
196.77659375 |
transcript.pyannote[58].end |
201.36659375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
201.45096875 |
transcript.pyannote[59].end |
208.31909375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
208.94346875 |
transcript.pyannote[60].end |
217.17846875 |
transcript.pyannote[61].speaker |
SPEAKER_04 |
transcript.pyannote[61].start |
216.70596875 |
transcript.pyannote[61].end |
217.87034375 |
transcript.pyannote[62].speaker |
SPEAKER_04 |
transcript.pyannote[62].start |
218.35971875 |
transcript.pyannote[62].end |
222.78096875 |
transcript.pyannote[63].speaker |
SPEAKER_04 |
transcript.pyannote[63].start |
223.20284375 |
transcript.pyannote[63].end |
224.80596875 |
transcript.pyannote[64].speaker |
SPEAKER_04 |
transcript.pyannote[64].start |
225.32909375 |
transcript.pyannote[64].end |
225.64971875 |
transcript.pyannote[65].speaker |
SPEAKER_04 |
transcript.pyannote[65].start |
226.02096875 |
transcript.pyannote[65].end |
246.50721875 |
transcript.pyannote[66].speaker |
SPEAKER_04 |
transcript.pyannote[66].start |
246.55784375 |
transcript.pyannote[66].end |
256.22721875 |
transcript.pyannote[67].speaker |
SPEAKER_04 |
transcript.pyannote[67].start |
256.75034375 |
transcript.pyannote[67].end |
267.78659375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
268.30971875 |
transcript.pyannote[68].end |
275.59971875 |
transcript.pyannote[69].speaker |
SPEAKER_04 |
transcript.pyannote[69].start |
272.81534375 |
transcript.pyannote[69].end |
273.18659375 |
transcript.pyannote[70].speaker |
SPEAKER_04 |
transcript.pyannote[70].start |
275.05971875 |
transcript.pyannote[70].end |
278.43471875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
278.51909375 |
transcript.pyannote[71].end |
279.76784375 |
transcript.pyannote[72].speaker |
SPEAKER_04 |
transcript.pyannote[72].start |
278.97471875 |
transcript.pyannote[72].end |
280.72971875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
280.72971875 |
transcript.pyannote[73].end |
281.01659375 |
transcript.pyannote[74].speaker |
SPEAKER_04 |
transcript.pyannote[74].start |
281.01659375 |
transcript.pyannote[74].end |
281.03346875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
281.03346875 |
transcript.pyannote[75].end |
283.21034375 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
283.34534375 |
transcript.pyannote[76].end |
289.75784375 |
transcript.pyannote[77].speaker |
SPEAKER_04 |
transcript.pyannote[77].start |
288.01971875 |
transcript.pyannote[77].end |
289.74096875 |
transcript.pyannote[78].speaker |
SPEAKER_04 |
transcript.pyannote[78].start |
289.75784375 |
transcript.pyannote[78].end |
316.55534375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
297.18284375 |
transcript.pyannote[79].end |
297.75659375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
297.75659375 |
transcript.pyannote[80].end |
297.77346875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
307.10534375 |
transcript.pyannote[81].end |
307.57784375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
310.61534375 |
transcript.pyannote[82].end |
311.08784375 |
transcript.pyannote[83].speaker |
SPEAKER_04 |
transcript.pyannote[83].start |
316.60596875 |
transcript.pyannote[83].end |
318.49596875 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
319.35659375 |
transcript.pyannote[84].end |
321.63471875 |
transcript.pyannote[85].speaker |
SPEAKER_04 |
transcript.pyannote[85].start |
320.63909375 |
transcript.pyannote[85].end |
323.52471875 |
transcript.pyannote[86].speaker |
SPEAKER_04 |
transcript.pyannote[86].start |
323.54159375 |
transcript.pyannote[86].end |
323.55846875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
323.57534375 |
transcript.pyannote[87].end |
336.83909375 |
transcript.pyannote[88].speaker |
SPEAKER_04 |
transcript.pyannote[88].start |
335.32034375 |
transcript.pyannote[88].end |
344.04471875 |
transcript.pyannote[89].speaker |
SPEAKER_02 |
transcript.pyannote[89].start |
343.23471875 |
transcript.pyannote[89].end |
361.52721875 |
transcript.pyannote[90].speaker |
SPEAKER_04 |
transcript.pyannote[90].start |
345.42846875 |
transcript.pyannote[90].end |
345.54659375 |
transcript.pyannote[91].speaker |
SPEAKER_04 |
transcript.pyannote[91].start |
346.98096875 |
transcript.pyannote[91].end |
349.74846875 |
transcript.pyannote[92].speaker |
SPEAKER_04 |
transcript.pyannote[92].start |
352.65096875 |
transcript.pyannote[92].end |
352.93784375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
352.93784375 |
transcript.pyannote[93].end |
353.02221875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
353.15721875 |
transcript.pyannote[94].end |
353.19096875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
353.25846875 |
transcript.pyannote[95].end |
353.30909375 |
transcript.pyannote[96].speaker |
SPEAKER_04 |
transcript.pyannote[96].start |
353.30909375 |
transcript.pyannote[96].end |
355.55346875 |
transcript.pyannote[97].speaker |
SPEAKER_04 |
transcript.pyannote[97].start |
360.24471875 |
transcript.pyannote[97].end |
366.35346875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
363.46784375 |
transcript.pyannote[98].end |
374.95971875 |
transcript.pyannote[99].speaker |
SPEAKER_04 |
transcript.pyannote[99].start |
370.36971875 |
transcript.pyannote[99].end |
371.77034375 |
transcript.pyannote[100].speaker |
SPEAKER_04 |
transcript.pyannote[100].start |
372.56346875 |
transcript.pyannote[100].end |
374.92596875 |
transcript.pyannote[101].speaker |
SPEAKER_04 |
transcript.pyannote[101].start |
374.95971875 |
transcript.pyannote[101].end |
378.62159375 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
378.62159375 |
transcript.pyannote[102].end |
378.97596875 |
transcript.pyannote[103].speaker |
SPEAKER_04 |
transcript.pyannote[103].start |
378.97596875 |
transcript.pyannote[103].end |
379.02659375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
379.02659375 |
transcript.pyannote[104].end |
385.75971875 |
transcript.pyannote[105].speaker |
SPEAKER_04 |
transcript.pyannote[105].start |
383.83596875 |
transcript.pyannote[105].end |
397.13346875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
393.10034375 |
transcript.pyannote[106].end |
394.31534375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
397.13346875 |
transcript.pyannote[107].end |
397.67346875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
397.67346875 |
transcript.pyannote[108].end |
397.79159375 |
transcript.pyannote[109].speaker |
SPEAKER_04 |
transcript.pyannote[109].start |
404.10284375 |
transcript.pyannote[109].end |
411.30846875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
405.65534375 |
transcript.pyannote[110].end |
406.16159375 |
transcript.pyannote[111].speaker |
SPEAKER_04 |
transcript.pyannote[111].start |
411.69659375 |
transcript.pyannote[111].end |
420.72471875 |
transcript.pyannote[112].speaker |
SPEAKER_04 |
transcript.pyannote[112].start |
420.97784375 |
transcript.pyannote[112].end |
430.51221875 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
431.13659375 |
transcript.pyannote[113].end |
433.22909375 |
transcript.pyannote[114].speaker |
SPEAKER_04 |
transcript.pyannote[114].start |
432.19971875 |
transcript.pyannote[114].end |
436.70534375 |
transcript.pyannote[115].speaker |
SPEAKER_04 |
transcript.pyannote[115].start |
436.97534375 |
transcript.pyannote[115].end |
446.98221875 |
transcript.pyannote[116].speaker |
SPEAKER_03 |
transcript.pyannote[116].start |
445.48034375 |
transcript.pyannote[116].end |
446.00346875 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
446.98221875 |
transcript.pyannote[117].end |
468.49784375 |
transcript.pyannote[118].speaker |
SPEAKER_04 |
transcript.pyannote[118].start |
451.03221875 |
transcript.pyannote[118].end |
451.55534375 |
transcript.pyannote[119].speaker |
SPEAKER_04 |
transcript.pyannote[119].start |
453.58034375 |
transcript.pyannote[119].end |
454.13721875 |
transcript.pyannote[120].speaker |
SPEAKER_04 |
transcript.pyannote[120].start |
454.77846875 |
transcript.pyannote[120].end |
457.27596875 |
transcript.pyannote[121].speaker |
SPEAKER_04 |
transcript.pyannote[121].start |
466.03409375 |
transcript.pyannote[121].end |
468.44721875 |
transcript.pyannote[122].speaker |
SPEAKER_04 |
transcript.pyannote[122].start |
468.49784375 |
transcript.pyannote[122].end |
469.93221875 |
transcript.pyannote[123].speaker |
SPEAKER_03 |
transcript.pyannote[123].start |
468.71721875 |
transcript.pyannote[123].end |
480.52971875 |
transcript.pyannote[124].speaker |
SPEAKER_04 |
transcript.pyannote[124].start |
472.64909375 |
transcript.pyannote[124].end |
473.03721875 |
transcript.pyannote[125].speaker |
SPEAKER_04 |
transcript.pyannote[125].start |
478.03221875 |
transcript.pyannote[125].end |
478.67346875 |
transcript.pyannote[126].speaker |
SPEAKER_04 |
transcript.pyannote[126].start |
479.19659375 |
transcript.pyannote[126].end |
484.03971875 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
481.89659375 |
transcript.pyannote[127].end |
483.17909375 |
transcript.pyannote[128].speaker |
SPEAKER_03 |
transcript.pyannote[128].start |
484.03971875 |
transcript.pyannote[128].end |
486.99284375 |
transcript.pyannote[129].speaker |
SPEAKER_04 |
transcript.pyannote[129].start |
486.45284375 |
transcript.pyannote[129].end |
499.98659375 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
493.89471875 |
transcript.pyannote[130].end |
494.65409375 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
499.46346875 |
transcript.pyannote[131].end |
506.97284375 |
transcript.pyannote[132].speaker |
SPEAKER_04 |
transcript.pyannote[132].start |
504.89721875 |
transcript.pyannote[132].end |
505.97721875 |
transcript.pyannote[133].speaker |
SPEAKER_04 |
transcript.pyannote[133].start |
506.07846875 |
transcript.pyannote[133].end |
512.55846875 |
transcript.pyannote[134].speaker |
SPEAKER_04 |
transcript.pyannote[134].start |
512.94659375 |
transcript.pyannote[134].end |
515.54534375 |
transcript.pyannote[135].speaker |
SPEAKER_03 |
transcript.pyannote[135].start |
515.54534375 |
transcript.pyannote[135].end |
515.79846875 |
transcript.pyannote[136].speaker |
SPEAKER_04 |
transcript.pyannote[136].start |
515.76471875 |
transcript.pyannote[136].end |
518.12721875 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
517.80659375 |
transcript.pyannote[137].end |
519.56159375 |
transcript.pyannote[138].speaker |
SPEAKER_04 |
transcript.pyannote[138].start |
519.88221875 |
transcript.pyannote[138].end |
521.28284375 |
transcript.pyannote[139].speaker |
SPEAKER_04 |
transcript.pyannote[139].start |
521.51909375 |
transcript.pyannote[139].end |
529.46721875 |
transcript.pyannote[140].speaker |
SPEAKER_04 |
transcript.pyannote[140].start |
529.72034375 |
transcript.pyannote[140].end |
532.92659375 |
transcript.pyannote[141].speaker |
SPEAKER_04 |
transcript.pyannote[141].start |
532.96034375 |
transcript.pyannote[141].end |
532.99409375 |
transcript.pyannote[142].speaker |
SPEAKER_04 |
transcript.pyannote[142].start |
533.16284375 |
transcript.pyannote[142].end |
538.90034375 |
transcript.pyannote[143].speaker |
SPEAKER_04 |
transcript.pyannote[143].start |
539.17034375 |
transcript.pyannote[143].end |
557.78346875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
549.54846875 |
transcript.pyannote[144].end |
549.56534375 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
549.56534375 |
transcript.pyannote[145].end |
549.61596875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
549.66659375 |
transcript.pyannote[146].end |
549.71721875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
552.33284375 |
transcript.pyannote[147].end |
552.78846875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
558.66096875 |
transcript.pyannote[148].end |
565.34346875 |
transcript.pyannote[149].speaker |
SPEAKER_04 |
transcript.pyannote[149].start |
563.63909375 |
transcript.pyannote[149].end |
570.15284375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
570.15284375 |
transcript.pyannote[150].end |
570.38909375 |
transcript.pyannote[151].speaker |
SPEAKER_04 |
transcript.pyannote[151].start |
570.38909375 |
transcript.pyannote[151].end |
570.40596875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
570.40596875 |
transcript.pyannote[152].end |
571.06409375 |
transcript.pyannote[153].speaker |
SPEAKER_04 |
transcript.pyannote[153].start |
570.43971875 |
transcript.pyannote[153].end |
571.33409375 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
571.33409375 |
transcript.pyannote[154].end |
571.36784375 |
transcript.pyannote[155].speaker |
SPEAKER_04 |
transcript.pyannote[155].start |
571.36784375 |
transcript.pyannote[155].end |
572.73471875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
571.60409375 |
transcript.pyannote[156].end |
592.32659375 |
transcript.pyannote[157].speaker |
SPEAKER_04 |
transcript.pyannote[157].start |
573.37596875 |
transcript.pyannote[157].end |
573.94971875 |
transcript.pyannote[158].speaker |
SPEAKER_04 |
transcript.pyannote[158].start |
590.65596875 |
transcript.pyannote[158].end |
592.27596875 |
transcript.pyannote[159].speaker |
SPEAKER_04 |
transcript.pyannote[159].start |
592.32659375 |
transcript.pyannote[159].end |
592.39409375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
592.39409375 |
transcript.pyannote[160].end |
592.96784375 |
transcript.pyannote[161].speaker |
SPEAKER_04 |
transcript.pyannote[161].start |
592.96784375 |
transcript.pyannote[161].end |
599.78534375 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
594.57096875 |
transcript.pyannote[162].end |
594.73971875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
595.29659375 |
transcript.pyannote[163].end |
595.80284375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
599.78534375 |
transcript.pyannote[164].end |
608.35784375 |
transcript.pyannote[165].speaker |
SPEAKER_04 |
transcript.pyannote[165].start |
605.08409375 |
transcript.pyannote[165].end |
614.06159375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
612.81284375 |
transcript.pyannote[166].end |
627.42659375 |
transcript.pyannote[167].speaker |
SPEAKER_04 |
transcript.pyannote[167].start |
615.05721875 |
transcript.pyannote[167].end |
617.55471875 |
transcript.pyannote[168].speaker |
SPEAKER_04 |
transcript.pyannote[168].start |
618.66846875 |
transcript.pyannote[168].end |
618.97221875 |
transcript.pyannote[169].speaker |
SPEAKER_04 |
transcript.pyannote[169].start |
618.98909375 |
transcript.pyannote[169].end |
619.07346875 |
transcript.pyannote[170].speaker |
SPEAKER_04 |
transcript.pyannote[170].start |
622.27971875 |
transcript.pyannote[170].end |
644.90909375 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
633.55221875 |
transcript.pyannote[171].end |
634.75034375 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
635.50971875 |
transcript.pyannote[172].end |
636.15096875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
644.25096875 |
transcript.pyannote[173].end |
645.02721875 |
transcript.pyannote[174].speaker |
SPEAKER_04 |
transcript.pyannote[174].start |
645.02721875 |
transcript.pyannote[174].end |
647.10284375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
647.10284375 |
transcript.pyannote[175].end |
647.22096875 |
transcript.pyannote[176].speaker |
SPEAKER_04 |
transcript.pyannote[176].start |
647.22096875 |
transcript.pyannote[176].end |
655.16909375 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
647.37284375 |
transcript.pyannote[177].end |
649.81971875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
655.16909375 |
transcript.pyannote[178].end |
655.18596875 |
transcript.pyannote[179].speaker |
SPEAKER_04 |
transcript.pyannote[179].start |
655.18596875 |
transcript.pyannote[179].end |
655.91159375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
655.91159375 |
transcript.pyannote[180].end |
655.92846875 |
transcript.pyannote[181].speaker |
SPEAKER_04 |
transcript.pyannote[181].start |
655.92846875 |
transcript.pyannote[181].end |
656.14784375 |
transcript.whisperx[0].start |
3.858 |
transcript.whisperx[0].end |
14.524 |
transcript.whisperx[0].text |
謝謝主席我請楊總裁還有稍等一下我們按慣例11點50可以發鞭湯各位如果需要現場用就可以用黃委主委金管會黃主委兩位好我想這幾天大家不是只有三溫暖應該是說快要得心臟病從川普幾天來的動作像是第一 |
transcript.whisperx[1].start |
34.639 |
transcript.whisperx[1].end |
52.35 |
transcript.whisperx[1].text |
沒有預期也沒有警告就直接殺殺完之後再告訴你說你還有90天可以活現在的狀況就是我們在這90天之內有沒有什麼樣的想法還有我們到底跟他的溝通管道在哪裡央行跟金管會平常跟美國沒有任何管道嗎 |
transcript.whisperx[2].start |
53.653 |
transcript.whisperx[2].end |
82.276 |
transcript.whisperx[2].text |
我們我跟委員報告我們基本上就是說我們每年每年都會國際組織國際的會議我們都會跟美國財政部來答案就是我們現在就看到他對全世界沒有人信念所以不能怪你們但是我們看到賴總統投書講了台灣的立場那美國我們昨天看到下出一聲冷汗的是他的經濟顧問在美國大放厥詞說美國只有五個方法第一個 |
transcript.whisperx[3].start |
83.217 |
transcript.whisperx[3].end |
95.19 |
transcript.whisperx[3].text |
接受美國關稅不能報復第二個打開市場停止不公平的交易第三個要提高國防支出跟軍購第四個投資美國第五個直接捐錢給美國財政部請問這五個選項 |
transcript.whisperx[4].start |
100.055 |
transcript.whisperx[4].end |
127.927 |
transcript.whisperx[4].text |
總裁你的看法呢我覺得第一個就是說他說不能報復那當然就是說他現在也已經講了就是說很多國家都願意跟他去做談判反正就是這五個方法我們台灣可以選哪幾個方法第一個我們已經不報復了嘛所以我們接受了第二個第三個第四個都是可以啦不過呢我總覺得就是說直接直接關錢給這個美國財政部這個我總覺得好像是 |
transcript.whisperx[5].start |
131.668 |
transcript.whisperx[5].end |
144.153 |
transcript.whisperx[5].text |
是好像覺得怪怪的啦那不是覺得怪怪的啦是我們現在給人家政府的只有一種人叫做我們的友邦比我們弱的我們才會做援助國際援助當然不太可能直接給錢吧 |
transcript.whisperx[6].start |
146.093 |
transcript.whisperx[6].end |
171.666 |
transcript.whisperx[6].text |
中華民國預算法大概也很難直接給錢吧來金管會我們會有這樣的措施美國以前是在援助其他弱勢的國家那現在呢他就說你就去捐好像是在援助他好像我也不曉得他的意思是什麼他的答案就是給我錢其餘免談嘛所以這五個方法我們已經沒有別的方法了嘛來彭主委這幾天我想金管會非常累但是 |
transcript.whisperx[7].start |
172.586 |
transcript.whisperx[7].end |
200.711 |
transcript.whisperx[7].text |
我們針對現在的狀態儘管會還有哪些可能會考慮今天講回來了明天呢後天呢報告委員那個資本市場有波動這是他的特質如果把時間拉長這個波動是是一個我們都一個資本市場目前還算可以承擔的狀態我們就會面對各式各樣的不確定性其實從過去時間拉長來講您聽到剛剛他們講的那五個方法你覺得台灣有多少談判的籌碼 |
transcript.whisperx[8].start |
202.091 |
transcript.whisperx[8].end |
224.701 |
transcript.whisperx[8].text |
這五個方法其實都不在金管會所能評論的範圍之內那我想說金管會對於這個資本市場的管理剛剛委員問我們是不是很累我們平常心因為實際上我們必須要更冷靜的去面對這些問題金融海嘯金融風暴其實都經歷過都會走過來只是要受多少代價而已 |
transcript.whisperx[9].start |
226.109 |
transcript.whisperx[9].end |
246.135 |
transcript.whisperx[9].text |
那既然這樣的話那就麻煩總裁了現在的問題就在於看到他剛剛講的這些東西現在他今天會有這個變動大家都說是因為美債的關係美債殖利率本來是他預期美國希望他下降現在看起來被拋售然後殖利率上升美國要付更多的錢所以美國總統嚇到了所以他停止 |
transcript.whisperx[10].start |
246.815 |
transcript.whisperx[10].end |
267.413 |
transcript.whisperx[10].text |
那你覺得我們目前為止剛剛聽到說我們外匯存底五千多億裡面您說有大概八成是持有美債那八成持有美債如果按照這個川普的方法的話將來這個殖利率可能會一直不斷的壓下去那會不會影響央行對於這個美債資金尤其是你每年要繳酷一千八百億你會不會受到影響 |
transcript.whisperx[11].start |
268.585 |
transcript.whisperx[11].end |
281.409 |
transcript.whisperx[11].text |
基本上以目前我們的評估呢到目前為止呢我們還是可以達到我們的目標你的目標所以殖利率你覺得不會大幅的下降美國川普的不是陰謀是陽謀不會實現 |
transcript.whisperx[12].start |
284.25 |
transcript.whisperx[12].end |
309.961 |
transcript.whisperx[12].text |
所以我剛剛也是在講就是說中央銀行會密切的注意密切的觀察但是這些錢他其實講的講白了就是關稅只是他的工具目標是消減貿易逆差那最重要的就是讓美國人更多的錢他一天可以收到20億美金的關稅這是他洋洋得意的地方所以我們必須面對這個結果他的政策大概不會變了只是方法的問題所以 |
transcript.whisperx[13].start |
311.482 |
transcript.whisperx[13].end |
317.72 |
transcript.whisperx[13].text |
中國開始拋售美債假如這樣的話那你會不會去市場上再把美債買過來 |
transcript.whisperx[14].start |
320 |
transcript.whisperx[14].end |
348.308 |
transcript.whisperx[14].text |
我覺得是這樣子啦你覺得台灣不應該再去接手美債不不不因為我剛剛也就是說有提供一個數據啦就是說美國的10年期的公債呢在在前一陣子的時候是4.94.9多我等於是說他現在還有另外一個美國政府說我們可能接下來要發行零利息的債券你要不要買我剛剛也是在講就是說他的你要不要成為他的朋友啦就這樣 |
transcript.whisperx[15].start |
350.129 |
transcript.whisperx[15].end |
365.899 |
transcript.whisperx[15].text |
這個就是說他這個是不通的啦不通他不通的而且呢而且呢你就會像那個像他這個關稅一開始的時候呢導致他的那個他的那個結論是我們不會去買他什麼臨時債券第二個就是他會不會發行都還是一個問題那我們也不必要那麼早就說我不會去買更沒有捐款給他們的可能性所以不會也不會有捐款給他們的可能性吧 |
transcript.whisperx[16].start |
379.388 |
transcript.whisperx[16].end |
393.636 |
transcript.whisperx[16].text |
捐款所以我剛剛在講到就是說這個捐款所以我們談判籌碼就是賴總統說的嘛第一個增加投資增加軍購第三個投資美國要降低所謂的貿易障礙來先再提我請現在莊部長 |
transcript.whisperx[17].start |
404.127 |
transcript.whisperx[17].end |
429.694 |
transcript.whisperx[17].text |
部長我想我們在這邊質詢過很多次台灣的稅不是只有關稅台灣的稅有非常多的貿易障礙尤其是像汽車的狀況就是我們有很大筆的貨物稅所以台灣人買車比別的地方貴這是長久以來的事實這點我想財政部在這裡回答委員的問題就是阿愛會增加我們的稅損那現在你已經沒有稅損這個理由可以用了那怎麼辦呢 你的籌碼是什麼 |
transcript.whisperx[18].start |
431.259 |
transcript.whisperx[18].end |
446.657 |
transcript.whisperx[18].text |
跟委員報告你一定會被要求降低所謂的非關稅貿易非關稅障礙類似貨物稅 類似我們國內的這些離離口口的一定會被挑戰這不用財委會來要求你刪了吧美國政府就叫你刪了 |
transcript.whisperx[19].start |
447.317 |
transcript.whisperx[19].end |
457.72 |
transcript.whisperx[19].text |
非關稅貿易障礙其實是在於進口的時候相關的檢核事項並不是在於其他的稅的部分你認為他們不會把貨物稅當成障礙嗎當然貨物稅的部分當然跟汽車購買者的財務負擔有關係貨物稅事實上是國內稅如果說貨物稅的話因為有貨物稅所以就沒有人要買進口車進口的車跟國產車都要課都要課的 |
transcript.whisperx[20].start |
473.885 |
transcript.whisperx[20].end |
476.968 |
transcript.whisperx[20].text |
而且目前貨物稅對汽車的部分像電動車都是零的貨物稅這些東西你們盤點了沒盤點的狀況接下來怎麼處理當然是在我們盤點範圍內你什麼時候盤點我上上個禮拜已經問過了你們說正在盤點中那現在已經剩下90天了 |
transcript.whisperx[21].start |
493.942 |
transcript.whisperx[21].end |
518.423 |
transcript.whisperx[21].text |
所以現在我們希望你們早一點把相關盤點的結果可以跟大家做個簡單的說明相關的盤點的最後我們會提交給經貿的談判小組裡面去做方案的內容重點是要消除所謂的貿易障礙絕對不會只有一個部會啦所以剛剛總裁這邊說得很清楚我們不會用犧牲台灣利益的狀況我覺得這個財政部要守住啦理解是 謝謝 |
transcript.whisperx[22].start |
520.104 |
transcript.whisperx[22].end |
538.052 |
transcript.whisperx[22].text |
總裁我還有一個問題現在就是最嚴重的問題其實是美國跟中國的他不是只有貿易大戰他可能還有接下來的匯率大戰因為中國就是擺明了我跟你談你104我就84然後今天又變成125明天可能變200 |
transcript.whisperx[23].start |
539.272 |
transcript.whisperx[23].end |
556.648 |
transcript.whisperx[23].text |
所以接下去他們其實中國手上滿手都是美國公債他拋售之後他手上可能有非常非常多的錢然後他會繼續的控制他的匯率那同樣的我們也會受到美元的影響那匯率當然是一個影響我只要問說中國跟美國這樣的貿易調當然對台灣的影響 |
transcript.whisperx[24].start |
558.743 |
transcript.whisperx[24].end |
583.05 |
transcript.whisperx[24].text |
我想就是說 基本上美國跟中國如果你繼續控制匯率你又會被川普說你是不乖的小孩所以匯率變成是我們的籌碼之一我想中央銀行不會控制匯率中央銀行只要我們的職責就是說讓匯率的波動不要過大 |
transcript.whisperx[25].start |
583.57 |
transcript.whisperx[25].end |
585.452 |
transcript.whisperx[25].text |
當它該升的時候就讓它升讓它匯率該貶的時候就要讓它貶因為它的每一個階段他說你沒有控制匯率但是我們都說我們沒有控制匯率可是美國人好像 |
transcript.whisperx[26].start |
599.887 |
transcript.whisperx[26].end |
610.456 |
transcript.whisperx[26].text |
所以我就說我們每年都要跟美國財政部都要溝通啊所以我們就是必須要跟他講台灣曾經經歷過從40塊上升到27塊這段時間對台灣的影響我想時空是不大一樣的那現在也希望說現在就是說央行在這上面要做好把關啊是是是 |
transcript.whisperx[27].start |
622.245 |
transcript.whisperx[27].end |
646.986 |
transcript.whisperx[27].text |
如果要做貿易逆差的調節 犧牲掉匯率這個可能也是對我們的廠商有更大的影響我想我們會跟美國財政部溝通因為他除了進出口關稅之外他如果還在面對匯率大幅的升值而造成我們出口更加卷上加霜這對台灣整體的經濟動能會有很大的影響匯率必須要反映他的基本面 |
transcript.whisperx[28].start |
648.509 |
transcript.whisperx[28].end |
651.517 |
transcript.whisperx[28].text |
所以我希望匯率跟你的談判不應該同時間被犧牲 |