iVOD / 156329

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/da0d5cdf8d126ade1d4eca800880470967ff13663af3209ef293381db574b3e9f0e74eb070a3a03c5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱志偉
委員發言時間 12:37:06 - 12:45:43
影片長度 517
會議時間 2024-10-30T09:00:00+08:00
會議名稱 立法院第11屆第2會期財政委員會第5次全體委員會議(事由:一、邀請金融監督管理委員會彭主任委員金隆率所屬機關首長暨中央存款保險股份有限公司、監管相關機構有關之財團法人、臺灣證券交易所股份有限公司、臺灣期貨交易所股份有限公司、臺灣集中保管結算所股份有限公司等董事長、總經理列席業務報告,並備質詢。二、繼續審查「證券交易稅條例」5案:(一) 行政院函請審議「證券交易稅條例第二條之二及第十二條條文修正草案」案。(二) 本院委員羅明才等20人擬具「證券交易稅條例第二條之二條文修正草案」案。(三) 本院委員賴士葆等25人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。(四) 本院委員伍麗華等19人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。(五) 本院委員邱志偉等19人擬具「證券交易稅條例第十二條條文修正草案」案。三、審查「證券交易稅條例」5案:(一) 本院台灣民眾黨黨團擬具「證券交易稅條例部分條文修正草案」。【本案如經院會復議,則不予審查】(二) 本院委員林楚茵等19人擬具「證券交易稅條例第二條之二條文修正草案」案。(三) 本院委員李坤城等22人擬具「證券交易稅條例第二條之二條文修正草案」。【本案如經院會復議,則不予審查】(四) 本院委員賴惠員等37人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」案。(五) 本院委員蔡易餘等16人擬具「證券交易稅條例第二條之二及第十二條條文修正草案」。【本案如經院會復議,則不予審查】四、審查金融監督管理委員會函送「延長調降當日沖銷交易稅之稅式支出評估報告」及「研商延長調降當沖交易證券交易稅實施期間」公聽會之會議紀錄案。五、討論中華民國114年度中央政府總預算案(含附屬單位預算及綜計表-營業及非營業部分)審查日程暨審查分配表草案。【10/30及10/31,兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.66784375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 1.63409375
transcript.pyannote[1].end 3.49034375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 4.01346875
transcript.pyannote[2].end 4.48596875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 4.99221875
transcript.pyannote[3].end 6.74721875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 7.64159375
transcript.pyannote[4].end 10.22346875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 11.16846875
transcript.pyannote[5].end 21.52971875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 22.00221875
transcript.pyannote[6].end 23.41971875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 23.84159375
transcript.pyannote[7].end 26.23784375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 26.69346875
transcript.pyannote[8].end 29.59596875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 29.93346875
transcript.pyannote[9].end 32.61659375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 33.49409375
transcript.pyannote[10].end 36.80159375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 37.88159375
transcript.pyannote[11].end 41.54346875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 41.96534375
transcript.pyannote[12].end 72.69471875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 63.90284375
transcript.pyannote[13].end 64.32471875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 69.26909375
transcript.pyannote[14].end 69.89346875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 73.38659375
transcript.pyannote[15].end 75.46221875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 76.45784375
transcript.pyannote[16].end 82.29659375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 82.38096875
transcript.pyannote[17].end 92.11784375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 91.30784375
transcript.pyannote[18].end 91.94909375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 92.30346875
transcript.pyannote[19].end 96.03284375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 96.37034375
transcript.pyannote[20].end 98.04096875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 98.42909375
transcript.pyannote[21].end 98.98596875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 99.45846875
transcript.pyannote[22].end 102.04034375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 102.69846875
transcript.pyannote[23].end 106.03971875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 106.59659375
transcript.pyannote[24].end 108.72284375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 108.85784375
transcript.pyannote[25].end 123.80909375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 124.02846875
transcript.pyannote[26].end 131.20034375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 131.72346875
transcript.pyannote[27].end 132.04409375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 132.78659375
transcript.pyannote[28].end 143.80596875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 144.05909375
transcript.pyannote[29].end 151.48409375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 148.56471875
transcript.pyannote[30].end 149.49284375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 149.74596875
transcript.pyannote[31].end 150.48846875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 151.80471875
transcript.pyannote[32].end 175.78409375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 156.24284375
transcript.pyannote[33].end 156.73221875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 158.35221875
transcript.pyannote[34].end 158.63909375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 159.02721875
transcript.pyannote[35].end 159.75284375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 167.38034375
transcript.pyannote[36].end 167.97096875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 170.14784375
transcript.pyannote[37].end 171.66659375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 174.83909375
transcript.pyannote[38].end 175.10909375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 175.96971875
transcript.pyannote[39].end 196.28721875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 184.69409375
transcript.pyannote[40].end 184.79534375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 196.60784375
transcript.pyannote[41].end 201.51846875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 202.31159375
transcript.pyannote[42].end 203.93159375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 204.35346875
transcript.pyannote[43].end 204.67409375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 204.84284375
transcript.pyannote[44].end 205.56846875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 206.14221875
transcript.pyannote[45].end 208.26846875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 209.33159375
transcript.pyannote[46].end 211.00221875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 211.50846875
transcript.pyannote[47].end 213.38159375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 213.46596875
transcript.pyannote[48].end 215.03534375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 215.79471875
transcript.pyannote[49].end 216.23346875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 216.50346875
transcript.pyannote[50].end 217.46534375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 217.78596875
transcript.pyannote[51].end 218.81534375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 219.13596875
transcript.pyannote[52].end 220.03034375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 221.27909375
transcript.pyannote[53].end 222.27471875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 223.38846875
transcript.pyannote[54].end 228.34971875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 226.79721875
transcript.pyannote[55].end 227.16846875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 228.88971875
transcript.pyannote[56].end 230.98221875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 232.48409375
transcript.pyannote[57].end 234.45846875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 232.61909375
transcript.pyannote[58].end 233.02409375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 233.32784375
transcript.pyannote[59].end 233.47971875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 234.50909375
transcript.pyannote[60].end 234.67784375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 235.28534375
transcript.pyannote[61].end 235.96034375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 236.80409375
transcript.pyannote[62].end 238.39034375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 238.66034375
transcript.pyannote[63].end 239.53784375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 240.04409375
transcript.pyannote[64].end 242.42346875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 243.04784375
transcript.pyannote[65].end 243.52034375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 243.68909375
transcript.pyannote[66].end 244.76909375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 246.33846875
transcript.pyannote[67].end 247.75596875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 247.99221875
transcript.pyannote[68].end 248.27909375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 248.48159375
transcript.pyannote[69].end 248.75159375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 249.00471875
transcript.pyannote[70].end 249.74721875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 250.40534375
transcript.pyannote[71].end 252.59909375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 253.12221875
transcript.pyannote[72].end 253.99971875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 254.80971875
transcript.pyannote[73].end 266.03159375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 258.04971875
transcript.pyannote[74].end 258.50534375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 266.31846875
transcript.pyannote[75].end 272.88284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 274.80659375
transcript.pyannote[76].end 278.58659375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 276.96659375
transcript.pyannote[77].end 278.43471875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 279.27846875
transcript.pyannote[78].end 281.52284375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 281.67471875
transcript.pyannote[79].end 290.87159375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 285.03284375
transcript.pyannote[80].end 285.31971875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 288.86346875
transcript.pyannote[81].end 289.85909375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 290.07846875
transcript.pyannote[82].end 293.47034375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 292.39034375
transcript.pyannote[83].end 297.08159375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 297.36846875
transcript.pyannote[84].end 305.45159375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 305.95784375
transcript.pyannote[85].end 307.59471875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 308.01659375
transcript.pyannote[86].end 310.75034375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 311.50971875
transcript.pyannote[87].end 316.06596875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 316.30221875
transcript.pyannote[88].end 317.58471875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 317.90534375
transcript.pyannote[89].end 343.45409375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 340.77096875
transcript.pyannote[90].end 340.99034375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 343.90971875
transcript.pyannote[91].end 358.27034375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 349.74846875
transcript.pyannote[92].end 350.57534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 353.12346875
transcript.pyannote[93].end 354.84471875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 358.70909375
transcript.pyannote[94].end 376.25909375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 367.56846875
transcript.pyannote[95].end 368.34471875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 376.93409375
transcript.pyannote[96].end 380.14034375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 381.79409375
transcript.pyannote[97].end 386.55284375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 387.05909375
transcript.pyannote[98].end 387.64971875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 388.05471875
transcript.pyannote[99].end 406.61721875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 389.97846875
transcript.pyannote[100].end 392.13846875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 397.50471875
transcript.pyannote[101].end 398.93909375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 407.32596875
transcript.pyannote[102].end 410.90346875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 409.23284375
transcript.pyannote[103].end 410.95409375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 411.24096875
transcript.pyannote[104].end 412.06784375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 412.48971875
transcript.pyannote[105].end 415.22346875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 417.04596875
transcript.pyannote[106].end 418.83471875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 419.34096875
transcript.pyannote[107].end 421.02846875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 421.24784375
transcript.pyannote[108].end 445.12596875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 444.11346875
transcript.pyannote[109].end 445.85159375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 446.23971875
transcript.pyannote[110].end 449.15909375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 446.49284375
transcript.pyannote[111].end 446.91471875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 449.41221875
transcript.pyannote[112].end 462.89534375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 462.89534375
transcript.pyannote[113].end 469.02096875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 469.64534375
transcript.pyannote[114].end 470.74221875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 472.04159375
transcript.pyannote[115].end 472.26096875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 472.44659375
transcript.pyannote[116].end 476.46284375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 477.30659375
transcript.pyannote[117].end 486.85784375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 488.25846875
transcript.pyannote[118].end 489.99659375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 489.01784375
transcript.pyannote[119].end 494.18159375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 492.64596875
transcript.pyannote[120].end 496.02096875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 497.06721875
transcript.pyannote[121].end 503.00721875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 504.00284375
transcript.pyannote[122].end 507.09096875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 504.39096875
transcript.pyannote[123].end 505.03221875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 505.89284375
transcript.pyannote[124].end 515.84909375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 516.76034375
transcript.pyannote[125].end 517.28346875
transcript.whisperx[0].start 2.352
transcript.whisperx[0].end 9.822
transcript.whisperx[0].text 謝謝主席有請彭主委銀行局莊局長請主委還有銀行局局長
transcript.whisperx[1].start 13.41
transcript.whisperx[1].end 36.619
transcript.whisperx[1].text 國有銀行會在中國有設立分行大概有25個分行在中國設立分行這幾年地緣政治改變它的獲利最低在其他各大多數分行裡面在中國所設立的分行它獲利最低但相對的負險的風險也最高這部分未來對國有銀行有沒有相關的約束
transcript.whisperx[2].start 38.255
transcript.whisperx[2].end 53.968
transcript.whisperx[2].text 其實我們在過去在比如說中國大陸地區的曝險我們一直都有獨立的監控比如說他們在做的一些的放款或是我們都有加壓就是比如說我們正常的壞帳提撥是1%在那邊就是要1.5%
transcript.whisperx[3].start 55.249
transcript.whisperx[3].end 75.291
transcript.whisperx[3].text 這些其實上從過去的數字也看到其實他們也已經觀察到整個環境以及市場的轉移他們也開始下降這個部分已經蠻明顯的所以他們有注意到這個風險跟獲利的改變對不對對獲利其實不管它市場上面的風險如果最糟的狀況發生兩岸發生戰事這些銀行的分行如何自保
transcript.whisperx[4].start 76.953
transcript.whisperx[4].end 100.793
transcript.whisperx[4].text 這個當然是一個非常極端的狀況那我們現在的話就是假設我們現在銀行的部分大概是將近9000多差不多一兆的這個負險在那邊那當然對銀行的比重現在差不多20%左右中國在真正的定義在國家安全定義是敵對國家他共經這個每天共經在那邊盤旋騷擾
transcript.whisperx[5].start 102.814
transcript.whisperx[5].end 130.985
transcript.whisperx[5].text 所以你要為以籌謀雖然你說是極端的狀況但極端的狀況也可能隨時都會發生是這個部分其實我們剛才也跟文報他們現在整個整體曝險占他淨值的大概是20%左右其實我們在這個掌控的這一塊也希望盡量能夠降低這個曝險好您知道這個問題就好另外您這邊報告裡面第5頁壯世代金融相關措施
transcript.whisperx[6].start 133.428
transcript.whisperx[6].end 148.982
transcript.whisperx[6].text 什麼叫壯士貸?這是一個跨黨派行政委員會陳時中政委所督導的壯士貸整體計畫我們負責壯士貸金融壯士貸現在的定義就是有兩種,一是50或55歲以上的人口50或55歲,你這個定義都還不清楚
transcript.whisperx[7].start 151.984
transcript.whisperx[7].end 175.443
transcript.whisperx[7].text 就是現在原來是五十五嘛現在有人建議還要再把他往前一點為什麼要針對壯世代推出相關金融因為主要是根據未來人口結構的推估未來台灣可能在二三十年後這個世代的人會成為我們台灣的主要的壯世代他年紀會增加可能這個對就是以上的這些壯世代變六十歲以後也就是六十五歲以後都可能變壯世代就是希望
transcript.whisperx[8].start 176.224
transcript.whisperx[8].end 201.401
transcript.whisperx[8].text 就是已經進入到幾乎是準退休的這些人接下來怎麼樣因應整個社會成為主流人口的時候我們整個因應怎麼做政策我是提醒主委政策就是不需要花中取寵政策是針對有需要有需要然後政策推出來是有的確有發揮這個金融相關的功能我想這部分才去推動當然另外我請教一下這個主委
transcript.whisperx[9].start 202.375
transcript.whisperx[9].end 230.78
transcript.whisperx[9].text 政府官員去國外換會會不會受到特殊待遇據我所知應該不會不要說您部長安妮斯諸位你到北歐一個國家去不要說你出了機場你沒有當地貨幣你去換貨幣你會不會有特殊待遇因為我上任還沒出國過至少我以前經驗並沒有任何這樣有一個案例一個中央級的這個民意代表
transcript.whisperx[10].start 232.585
transcript.whisperx[10].end 253.487
transcript.whisperx[10].text 去這個北歐國家北歐國家但是他不是用EUR你出了機場還有很多這個換錢的地方嘛然後他去換匯一換匯當然需要護照護照一看是PEP是一個就是我們講
transcript.whisperx[11].start 254.864
transcript.whisperx[11].end 272.474
transcript.whisperx[11].text 重點那個防制的政治人物或是這些是不是有相關的規定是就是說剛剛跟我們報告我說我上任沒出國說不定我用我的名字假設是你出國去換會也會要求你是不是他會詢問你是不是政治人物對不對或者政府官員
transcript.whisperx[12].start 274.861
transcript.whisperx[12].end 296.722
transcript.whisperx[12].text 他這樣就會可能會列為是反洗錢的重點他的資料會細緻到什麼程度這個部分的話就是因為我們在應該是資料是如何提供的是國際相關的協約還是這個這個議定會不會連配偶連家人你都知道連你的住所都知道
transcript.whisperx[13].start 298.604
transcript.whisperx[13].end 310.412
transcript.whisperx[13].text 這個有沒有侵犯到各自各種程度啦至少比如說我們在據我了解啊他連配偶是誰都知道他連你住家在哪裡都知道他說你可以換但是你要提供證明
transcript.whisperx[14].start 312.05
transcript.whisperx[14].end 330.165
transcript.whisperx[14].text 另外一個英文的證明說你的住所在哪裡這個可能是我們在國際反洗錢裡面的一個實務他認為這些所以你說這是國際反洗錢的實務任何國家只要是政府官員、民意代表、中央民代你去換會都要受到這種詢問
transcript.whisperx[15].start 331.626
transcript.whisperx[15].end 357.877
transcript.whisperx[15].text 據我所知假設你被列入那個名單裡面的話就會多一些程序誰會列入那些名單現在有些機構會提供這樣一個名單給金融機構或是給其他參考那臺灣有哪些人列入這些名單其實我知道應該是我們政府的首長像比如說像各位委員應該也是假設我去他也會要求我提供相關資料嗎有可能因為我們成為這個身份是一個公開的資料
transcript.whisperx[16].start 359.138
transcript.whisperx[16].end 379.94
transcript.whisperx[16].text 公開的資料如果他連配偶都知道那是肯定當別論比如說假設我這個人的人名跟我的身份還有我的基本配偶資料基本他會你有你的護照號碼對不對對或者你相關的這個工作的背景然後你可能有photo有相片他如果連配偶跟你的住所都知道
transcript.whisperx[17].start 381.82
transcript.whisperx[17].end 405.98
transcript.whisperx[17].text 我覺得這個是可能要再去看看狀況,不過我知道曾經有人是因為同名而被匡列,就是他的名字是這樣,所以看他之外也可以去深度不可能同名又同日生嘛,剛剛已經到了那麼細緻的資料的部分您說的就是說只要中央級的明代政府官員,包括您要去國外換會都會接受相關
transcript.whisperx[18].start 407.945
transcript.whisperx[18].end 413.582
transcript.whisperx[18].text 的詢問他可能會用進一步的瞭解對我講他那個那我們那個局長會不會
transcript.whisperx[19].start 417.093
transcript.whisperx[19].end 445.496
transcript.whisperx[19].text 局長你會不會受到這種待遇因為你是主管人員報告委員因為我都不會在國外換匯我都用信用卡所以還沒碰到這個問題不過回覆委員的因為基本上重要性的政治人物其實他都有一定的公開性所以有很多銀行他會去買商業資料庫所以您剛剛說的那個應該是銀行或者是換匯的公司他不是單一國家
transcript.whisperx[20].start 447.678
transcript.whisperx[20].end 470.135
transcript.whisperx[20].text 對,他是比對因為幾大商業庫應該全世界各個金融機構就是用那幾大商業資料庫那商業資料庫裡面會收集各國的政治重要性人物所以應該是比對那個資料庫出來他來要求是這樣,我說給您聽他說你要提供另外一個英文相關的文件證明你才能換匯
transcript.whisperx[21].start 472.503
transcript.whisperx[21].end 493.993
transcript.whisperx[21].text 那誰會又帶其他的英文證明除了護照之外?確實如果臨時性大概不會去準備這個大概你現在去了解一下他所了解的資料會不會細緻到連配偶連你的住所都知道好,我們請主委跟局長研究完這個主委你以後去歡會搞不好你也會發聲
transcript.whisperx[22].start 497.67
transcript.whisperx[22].end 513.641
transcript.whisperx[22].text 應該會在場所有的官員去換位你們試看看你們可能多準備一些這個國外的英文資料好謝謝謝謝委員的提供這個訊息謝謝志偉委員我想這個是一個非常珍貴的一個議題那請就是研究完了以後跟邱志偉委員來做報告謝謝
IVOD_ID 156329
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/156329
日期 2024-10-30
影片種類 Clip
開始時間 2024-10-30T12:37:06+08:00
結束時間 2024-10-30T12:45:43+08:00
支援功能[0] ai-transcript