iVOD / 168872

Field Value
IVOD_ID 168872
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168872
日期 2026-04-28
會議資料.會議代碼 院會-11-5-8
會議資料.會議代碼:str 第11屆第5會期第8次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 8
會議資料.種類 院會
會議資料.標題 第11屆第5會期第8次會議
影片種類 Clip
開始時間 2026-04-28T10:45:38+08:00
結束時間 2026-04-28T11:01:12+08:00
影片長度 00:15:34
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/35437261a170eb0324576db9d492e16766e90e72df29f72fb7c213fc50a082c605516ffde792dc4e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 吳秉叡
委員發言時間 10:45:38 - 11:01:12
會議時間 2026-04-28T09:00:00+08:00
會議名稱 第11屆第5會期第8次會議(事由:一、討論事項:本院民進黨黨團,建請院會作成決議:「一、立法院不分朝野堅定支持我國總統進行對外國是訪問,堅持台灣人有走向世界,與世界各國交往合作的權利。二、嚴正譴責中華人民共和國政府以脅迫手段迫使第三國撤銷我國元首專機飛航許可之粗暴行為,違反聯合國憲章、國際民航公約精神、外交關係慣例,並構成對第三國主權之公然干涉。三、促請外交部、駐外館處、國際民航組織(ICAO)之友我代表及所有可行管道,將本事件列入國際紀錄,且尋求國際民航組織、聯合國人權理事會等多邊機制之關注與因應,並就中華人民共和國對我國長期之脅迫行為,研擬完整之法律文件與政策白皮書,於年度外交報告中專章說明。四、呼籲世界上所有理念相近之民主夥伴,正視中華人民共和國對他國實施經濟與外交脅迫之行為,將其納入各國『反脅迫』(anti-coercion)之政策工具與立法檢討。並以具體行動聲援我國維護正當國際交往之權利,共同捍衛以規則為基礎之國際秩序、自由開放之國際航空體系,以及中小型國家免於威權霸凌之主權空間。中華民國是主權獨立的民主國家,任何外部勢力之脅迫、封鎖或打壓,皆不能改變我國走向世界、與民主夥伴並肩同行之決心。本院全體委員將超越黨派立場,團結一致,捍衛國家主權、民主自由與國際尊嚴。」是否有當?請公決案等2案。二、對行政院院長提出施政方針及施政報告繼續質詢。三、同意權之行使事項:本院司法及法制、內政兩委員會報告審查「總統咨,為最高檢察署檢察總長邢泰釗任期於115年5月7日屆滿,茲依法院組織法第66條第2項規定,提名徐錫祥為最高檢察署檢察總長,咨請同意案」案。(5月5日上午)四、審計長列席報告中華民國113年度中央政府總決算審核報告等案審核經過並備諮詢。(5月5日下午)五、4月24日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.02659375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 1.04346875
transcript.pyannote[1].end 1.07721875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 10.84784375
transcript.pyannote[2].end 12.40034375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 13.24409375
transcript.pyannote[3].end 13.81784375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 14.66159375
transcript.pyannote[4].end 15.92721875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 16.46721875
transcript.pyannote[5].end 16.80471875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 17.46284375
transcript.pyannote[6].end 19.03221875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 19.11659375
transcript.pyannote[7].end 22.87971875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 19.16721875
transcript.pyannote[8].end 19.69034375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 23.62221875
transcript.pyannote[9].end 24.31409375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 24.97221875
transcript.pyannote[10].end 26.60909375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 27.06471875
transcript.pyannote[11].end 27.48659375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 27.90846875
transcript.pyannote[12].end 29.59596875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 29.89971875
transcript.pyannote[13].end 34.03409375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 34.70909375
transcript.pyannote[14].end 35.36721875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 35.63721875
transcript.pyannote[15].end 37.20659375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 37.81409375
transcript.pyannote[16].end 39.02909375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 39.50159375
transcript.pyannote[17].end 43.33221875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 43.50096875
transcript.pyannote[18].end 45.03659375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 45.12096875
transcript.pyannote[19].end 46.25159375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 46.65659375
transcript.pyannote[20].end 48.74909375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 49.54221875
transcript.pyannote[21].end 50.03159375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 50.48721875
transcript.pyannote[22].end 52.84971875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 52.95096875
transcript.pyannote[23].end 55.02659375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 55.38096875
transcript.pyannote[24].end 57.49034375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 57.62534375
transcript.pyannote[25].end 59.63346875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 60.47721875
transcript.pyannote[26].end 61.86096875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 62.83971875
transcript.pyannote[27].end 66.77159375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 67.14284375
transcript.pyannote[28].end 68.64471875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 69.01596875
transcript.pyannote[29].end 71.85096875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 72.37409375
transcript.pyannote[30].end 79.37721875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 79.68096875
transcript.pyannote[31].end 81.08159375
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 81.46971875
transcript.pyannote[32].end 85.18221875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 85.40159375
transcript.pyannote[33].end 86.44784375
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 86.76846875
transcript.pyannote[34].end 87.19034375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 87.78096875
transcript.pyannote[35].end 91.25721875
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 91.54409375
transcript.pyannote[36].end 93.68721875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 91.78034375
transcript.pyannote[37].end 91.99971875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 93.90659375
transcript.pyannote[38].end 94.66596875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 95.27346875
transcript.pyannote[39].end 99.44159375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 100.13346875
transcript.pyannote[40].end 100.48784375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 101.11221875
transcript.pyannote[41].end 104.06534375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 104.63909375
transcript.pyannote[42].end 108.60471875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 109.07721875
transcript.pyannote[43].end 110.30909375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 110.73096875
transcript.pyannote[44].end 113.11034375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 113.73471875
transcript.pyannote[45].end 118.93221875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 119.26971875
transcript.pyannote[46].end 122.10471875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 122.52659375
transcript.pyannote[47].end 124.19721875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 124.60221875
transcript.pyannote[48].end 125.53034375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 125.98596875
transcript.pyannote[49].end 128.29784375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 128.56784375
transcript.pyannote[50].end 132.87096875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 133.19159375
transcript.pyannote[51].end 134.79471875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 135.35159375
transcript.pyannote[52].end 139.23284375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 139.85721875
transcript.pyannote[53].end 141.35909375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 141.94971875
transcript.pyannote[54].end 144.39659375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 145.00409375
transcript.pyannote[55].end 147.19784375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 147.40034375
transcript.pyannote[56].end 147.58596875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 148.10909375
transcript.pyannote[57].end 149.57721875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 149.57721875
transcript.pyannote[58].end 152.42909375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 153.03659375
transcript.pyannote[59].end 154.58909375
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 154.75784375
transcript.pyannote[60].end 157.94721875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 158.06534375
transcript.pyannote[61].end 161.74409375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 161.94659375
transcript.pyannote[62].end 163.31346875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 163.66784375
transcript.pyannote[63].end 166.40159375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 166.58721875
transcript.pyannote[64].end 169.35471875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 169.77659375
transcript.pyannote[65].end 170.48534375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 171.04221875
transcript.pyannote[66].end 173.01659375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 173.70846875
transcript.pyannote[67].end 174.14721875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 174.61971875
transcript.pyannote[68].end 176.74596875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 177.28596875
transcript.pyannote[69].end 181.85909375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 181.85909375
transcript.pyannote[70].end 184.82909375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 181.87596875
transcript.pyannote[71].end 181.89284375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 185.09909375
transcript.pyannote[72].end 187.95096875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 188.38971875
transcript.pyannote[73].end 189.73971875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 190.16159375
transcript.pyannote[74].end 190.58346875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 190.90409375
transcript.pyannote[75].end 194.38034375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 194.81909375
transcript.pyannote[76].end 195.88221875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 196.33784375
transcript.pyannote[77].end 197.14784375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 197.31659375
transcript.pyannote[78].end 198.76784375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 199.02096875
transcript.pyannote[79].end 200.13471875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 200.28659375
transcript.pyannote[80].end 201.78846875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 202.27784375
transcript.pyannote[81].end 202.73346875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 202.88534375
transcript.pyannote[82].end 203.67846875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 204.06659375
transcript.pyannote[83].end 208.77471875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 209.21346875
transcript.pyannote[84].end 210.59721875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 210.91784375
transcript.pyannote[85].end 212.03159375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 212.11596875
transcript.pyannote[86].end 217.68471875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 218.17409375
transcript.pyannote[87].end 219.18659375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 219.94596875
transcript.pyannote[88].end 222.96659375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 223.47284375
transcript.pyannote[89].end 225.53159375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 226.20659375
transcript.pyannote[90].end 232.01159375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 232.31534375
transcript.pyannote[91].end 241.15784375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 241.44471875
transcript.pyannote[92].end 244.61721875
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 245.00534375
transcript.pyannote[93].end 248.61659375
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 248.65034375
transcript.pyannote[94].end 250.50659375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 250.75971875
transcript.pyannote[95].end 258.50534375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 257.89784375
transcript.pyannote[96].end 259.70346875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 260.32784375
transcript.pyannote[97].end 270.84096875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 271.06034375
transcript.pyannote[98].end 275.53221875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 275.65034375
transcript.pyannote[99].end 276.44346875
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 277.32096875
transcript.pyannote[100].end 282.92346875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 283.10909375
transcript.pyannote[101].end 284.94846875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 285.65721875
transcript.pyannote[102].end 288.12096875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 288.94784375
transcript.pyannote[103].end 291.69846875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 291.85034375
transcript.pyannote[104].end 292.22159375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 292.35659375
transcript.pyannote[105].end 296.77784375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 297.45284375
transcript.pyannote[106].end 297.99284375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 298.61721875
transcript.pyannote[107].end 306.56534375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 306.91971875
transcript.pyannote[108].end 308.35409375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 308.64096875
transcript.pyannote[109].end 312.80909375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 313.31534375
transcript.pyannote[110].end 315.93096875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 316.16721875
transcript.pyannote[111].end 318.42846875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 318.85034375
transcript.pyannote[112].end 320.70659375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 321.26346875
transcript.pyannote[113].end 328.46909375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 328.95846875
transcript.pyannote[114].end 331.77659375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 332.38409375
transcript.pyannote[115].end 334.49346875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 335.10096875
transcript.pyannote[116].end 336.58596875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 336.94034375
transcript.pyannote[117].end 339.67409375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 340.19721875
transcript.pyannote[118].end 340.97346875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 341.29409375
transcript.pyannote[119].end 343.96034375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 344.06159375
transcript.pyannote[120].end 344.75346875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 345.05721875
transcript.pyannote[121].end 346.20471875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 346.60971875
transcript.pyannote[122].end 350.47409375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 351.92534375
transcript.pyannote[123].end 354.54096875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 355.03034375
transcript.pyannote[124].end 355.84034375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 356.56596875
transcript.pyannote[125].end 359.35034375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 360.27846875
transcript.pyannote[126].end 362.87721875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 363.16409375
transcript.pyannote[127].end 364.85159375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 365.47596875
transcript.pyannote[128].end 366.03284375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 366.23534375
transcript.pyannote[129].end 369.12096875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 369.66096875
transcript.pyannote[130].end 374.20034375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 374.50409375
transcript.pyannote[131].end 376.42784375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 376.42784375
transcript.pyannote[132].end 377.35596875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 377.67659375
transcript.pyannote[133].end 380.35971875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 381.28784375
transcript.pyannote[134].end 383.97096875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 384.35909375
transcript.pyannote[135].end 388.30784375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 388.76346875
transcript.pyannote[136].end 390.01221875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 390.58596875
transcript.pyannote[137].end 392.77971875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 393.01596875
transcript.pyannote[138].end 393.03284375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 393.03284375
transcript.pyannote[139].end 393.10034375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 393.10034375
transcript.pyannote[140].end 393.11721875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 393.11721875
transcript.pyannote[141].end 393.35346875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 393.35346875
transcript.pyannote[142].end 393.43784375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 393.85971875
transcript.pyannote[143].end 399.27659375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 399.61409375
transcript.pyannote[144].end 401.99346875
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 401.04846875
transcript.pyannote[145].end 403.44471875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 403.07346875
transcript.pyannote[146].end 407.07284375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 407.68034375
transcript.pyannote[147].end 408.76034375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 409.30034375
transcript.pyannote[148].end 409.73909375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 410.31284375
transcript.pyannote[149].end 416.13471875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 416.21909375
transcript.pyannote[150].end 424.80846875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 425.85471875
transcript.pyannote[151].end 426.98534375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 427.66034375
transcript.pyannote[152].end 428.68971875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 429.29721875
transcript.pyannote[153].end 431.01846875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 431.94659375
transcript.pyannote[154].end 435.13596875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 435.35534375
transcript.pyannote[155].end 439.43909375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 440.01284375
transcript.pyannote[156].end 440.56971875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 441.19409375
transcript.pyannote[157].end 444.34971875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 444.99096875
transcript.pyannote[158].end 446.10471875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 447.01596875
transcript.pyannote[159].end 449.85096875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 449.96909375
transcript.pyannote[160].end 450.03659375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 450.05346875
transcript.pyannote[161].end 453.47909375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 454.23846875
transcript.pyannote[162].end 454.55909375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 455.20034375
transcript.pyannote[163].end 460.39784375
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 460.73534375
transcript.pyannote[164].end 462.01784375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 462.32159375
transcript.pyannote[165].end 462.96284375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 463.18221875
transcript.pyannote[166].end 465.22409375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 465.91596875
transcript.pyannote[167].end 466.23659375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 466.75971875
transcript.pyannote[168].end 470.94471875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 471.38346875
transcript.pyannote[169].end 476.46284375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 476.83409375
transcript.pyannote[170].end 479.19659375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 479.66909375
transcript.pyannote[171].end 480.96846875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 482.04846875
transcript.pyannote[172].end 486.46971875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 487.29659375
transcript.pyannote[173].end 496.98284375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 497.55659375
transcript.pyannote[174].end 498.61971875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 498.85596875
transcript.pyannote[175].end 501.37034375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 501.80909375
transcript.pyannote[176].end 511.41096875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 511.79909375
transcript.pyannote[177].end 513.57096875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 513.92534375
transcript.pyannote[178].end 514.36409375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 514.76909375
transcript.pyannote[179].end 516.15284375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 516.84471875
transcript.pyannote[180].end 518.27909375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 518.78534375
transcript.pyannote[181].end 520.48971875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 520.75971875
transcript.pyannote[182].end 527.00346875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 527.83034375
transcript.pyannote[183].end 530.86784375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 531.79596875
transcript.pyannote[184].end 534.27659375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 534.98534375
transcript.pyannote[185].end 535.87971875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 537.07784375
transcript.pyannote[186].end 548.78909375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 550.49346875
transcript.pyannote[187].end 553.81784375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 554.39159375
transcript.pyannote[188].end 558.62721875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 558.93096875
transcript.pyannote[189].end 560.07846875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 560.83784375
transcript.pyannote[190].end 562.45784375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 562.74471875
transcript.pyannote[191].end 565.24221875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 565.39409375
transcript.pyannote[192].end 577.45971875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 577.84784375
transcript.pyannote[193].end 579.18096875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 579.97409375
transcript.pyannote[194].end 582.91034375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 583.23096875
transcript.pyannote[195].end 584.66534375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 585.64409375
transcript.pyannote[196].end 587.02784375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 587.21346875
transcript.pyannote[197].end 591.80346875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 592.59659375
transcript.pyannote[198].end 596.76471875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 597.22034375
transcript.pyannote[199].end 598.48596875
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 599.48159375
transcript.pyannote[200].end 601.54034375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 601.89471875
transcript.pyannote[201].end 603.49784375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 604.37534375
transcript.pyannote[202].end 605.28659375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 606.01221875
transcript.pyannote[203].end 607.51409375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 607.91909375
transcript.pyannote[204].end 609.13409375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 609.37034375
transcript.pyannote[205].end 610.53471875
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 611.39534375
transcript.pyannote[206].end 613.48784375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 613.94346875
transcript.pyannote[207].end 616.55909375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 616.84596875
transcript.pyannote[208].end 618.16221875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 618.82034375
transcript.pyannote[209].end 620.10284375
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 620.44034375
transcript.pyannote[210].end 622.29659375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 622.41471875
transcript.pyannote[211].end 624.00096875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 624.30471875
transcript.pyannote[212].end 625.63784375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 626.27909375
transcript.pyannote[213].end 636.94409375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 637.26471875
transcript.pyannote[214].end 638.66534375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 639.37409375
transcript.pyannote[215].end 639.99846875
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 640.47096875
transcript.pyannote[216].end 641.60159375
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 642.39471875
transcript.pyannote[217].end 644.68971875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 645.31409375
transcript.pyannote[218].end 650.27534375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 650.84909375
transcript.pyannote[219].end 655.42221875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 656.43471875
transcript.pyannote[220].end 656.92409375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 657.63284375
transcript.pyannote[221].end 661.07534375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 661.07534375
transcript.pyannote[222].end 661.37909375
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 661.37909375
transcript.pyannote[223].end 661.39596875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 662.00346875
transcript.pyannote[224].end 663.06659375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 663.79221875
transcript.pyannote[225].end 668.97284375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 669.73221875
transcript.pyannote[226].end 670.44096875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 670.72784375
transcript.pyannote[227].end 673.14096875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 673.83284375
transcript.pyannote[228].end 675.06471875
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 675.45284375
transcript.pyannote[229].end 677.57909375
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 677.91659375
transcript.pyannote[230].end 679.41846875
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 680.36346875
transcript.pyannote[231].end 682.99596875
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 683.29971875
transcript.pyannote[232].end 687.21471875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 687.41721875
transcript.pyannote[233].end 688.34534375
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 688.64909375
transcript.pyannote[234].end 689.05409375
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 689.45909375
transcript.pyannote[235].end 691.92284375
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 692.20971875
transcript.pyannote[236].end 696.12471875
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 696.58034375
transcript.pyannote[237].end 701.45721875
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 701.74409375
transcript.pyannote[238].end 706.70534375
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 706.90784375
transcript.pyannote[239].end 707.88659375
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 708.10596875
transcript.pyannote[240].end 715.51409375
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 715.71659375
transcript.pyannote[241].end 717.03284375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 717.25221875
transcript.pyannote[242].end 717.58971875
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 718.60221875
transcript.pyannote[243].end 722.63534375
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 722.77034375
transcript.pyannote[244].end 726.68534375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 726.14534375
transcript.pyannote[245].end 730.60034375
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 730.34721875
transcript.pyannote[246].end 731.56221875
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 731.15721875
transcript.pyannote[247].end 740.25284375
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 740.50596875
transcript.pyannote[248].end 746.71596875
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 746.73284375
transcript.pyannote[249].end 764.21534375
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 764.97471875
transcript.pyannote[250].end 765.95346875
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 766.88159375
transcript.pyannote[251].end 777.20909375
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 777.58034375
transcript.pyannote[252].end 784.22909375
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 784.41471875
transcript.pyannote[253].end 785.22471875
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 786.15284375
transcript.pyannote[254].end 787.43534375
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 788.48159375
transcript.pyannote[255].end 789.22409375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 790.11846875
transcript.pyannote[256].end 790.84409375
transcript.pyannote[257].speaker SPEAKER_03
transcript.pyannote[257].start 791.60346875
transcript.pyannote[257].end 791.94096875
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 791.94096875
transcript.pyannote[258].end 793.10534375
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 793.39221875
transcript.pyannote[259].end 794.01659375
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 794.92784375
transcript.pyannote[260].end 796.80096875
transcript.pyannote[261].speaker SPEAKER_03
transcript.pyannote[261].start 796.96971875
transcript.pyannote[261].end 798.15096875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 798.42096875
transcript.pyannote[262].end 802.31909375
transcript.pyannote[263].speaker SPEAKER_03
transcript.pyannote[263].start 802.82534375
transcript.pyannote[263].end 803.97284375
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 804.20909375
transcript.pyannote[264].end 805.93034375
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 806.20034375
transcript.pyannote[265].end 807.75284375
transcript.pyannote[266].speaker SPEAKER_03
transcript.pyannote[266].start 807.90471875
transcript.pyannote[266].end 809.33909375
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 809.59221875
transcript.pyannote[267].end 811.70159375
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 811.78596875
transcript.pyannote[268].end 814.14846875
transcript.pyannote[269].speaker SPEAKER_03
transcript.pyannote[269].start 814.21596875
transcript.pyannote[269].end 815.58284375
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 815.71784375
transcript.pyannote[270].end 817.50659375
transcript.pyannote[271].speaker SPEAKER_03
transcript.pyannote[271].start 817.91159375
transcript.pyannote[271].end 819.70034375
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 819.88596875
transcript.pyannote[272].end 821.94471875
transcript.pyannote[273].speaker SPEAKER_03
transcript.pyannote[273].start 822.21471875
transcript.pyannote[273].end 823.83471875
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 824.18909375
transcript.pyannote[274].end 827.05784375
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 827.51346875
transcript.pyannote[275].end 827.93534375
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 828.52596875
transcript.pyannote[276].end 829.79159375
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 829.90971875
transcript.pyannote[277].end 832.08659375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 832.76159375
transcript.pyannote[278].end 835.59659375
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 836.20409375
transcript.pyannote[279].end 839.66346875
transcript.pyannote[280].speaker SPEAKER_03
transcript.pyannote[280].start 840.08534375
transcript.pyannote[280].end 844.16909375
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 841.23284375
transcript.pyannote[281].end 842.48159375
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 843.32534375
transcript.pyannote[282].end 850.32846875
transcript.pyannote[283].speaker SPEAKER_02
transcript.pyannote[283].start 850.75034375
transcript.pyannote[283].end 851.40846875
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 851.86409375
transcript.pyannote[284].end 852.38721875
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 852.50534375
transcript.pyannote[285].end 859.42409375
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 859.99784375
transcript.pyannote[286].end 864.08159375
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 864.99284375
transcript.pyannote[287].end 873.75096875
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 873.85221875
transcript.pyannote[288].end 875.69159375
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 876.95721875
transcript.pyannote[289].end 877.56471875
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 878.34096875
transcript.pyannote[290].end 882.34034375
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 882.66096875
transcript.pyannote[291].end 893.19096875
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 893.96721875
transcript.pyannote[292].end 895.43534375
transcript.pyannote[293].speaker SPEAKER_02
transcript.pyannote[293].start 896.27909375
transcript.pyannote[293].end 902.80971875
transcript.pyannote[294].speaker SPEAKER_00
transcript.pyannote[294].start 902.84346875
transcript.pyannote[294].end 910.67346875
transcript.pyannote[295].speaker SPEAKER_02
transcript.pyannote[295].start 911.01096875
transcript.pyannote[295].end 914.80784375
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 913.64346875
transcript.pyannote[296].end 914.40284375
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 915.31409375
transcript.pyannote[297].end 915.56721875
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 917.38971875
transcript.pyannote[298].end 922.11471875
transcript.whisperx[0].start 0.109
transcript.whisperx[0].end 1.05
transcript.whisperx[0].text 臺灣跟美國的關稅談判之前很辛苦達成很好的成績但是
transcript.whisperx[1].start 25.014
transcript.whisperx[1].end 47.311
transcript.whisperx[1].text 因為事情的演變,川普的對等關稅被美國的最高法院宣布說這是違憲現在衍生說我們要重談重談原因就是因為既然不能用對等關稅所以美國現在就是川普政府就都用301條款特別301條款調查進行
transcript.whisperx[2].start 49.571
transcript.whisperx[2].end 56.154
transcript.whisperx[2].text 那你可以跟我們講說大概什麼時程我們台灣可以跟美國完成這個特別301條款調查之後確定雙方的關稅嗎時間性怎麼樣
transcript.whisperx[3].start 63.001
transcript.whisperx[3].end 85.867
transcript.whisperx[3].text 美方在4月28號左右跟5月初5月5號會展開兩場的公聽會分別針對產能過剩以及強迫勞動那之後完成之後的一段時間應該一週內我們就會如果對我方有提出一些什麼樣的一些意見的話我們會據事實來價以說明那之後進行下去因為美方是對很多國家產生這樣的一個301的調查所以
transcript.whisperx[4].start 87.808
transcript.whisperx[4].end 108.163
transcript.whisperx[4].text 我們預判估計應該是到7月左右看能不能達到一個最終的一個結果第一個齁其實就商界來講他們很擔心的是不確定你一方面當然關稅高我們是很難過但是不確定也是另外一個問題你知道嗎因為
transcript.whisperx[5].start 109.124
transcript.whisperx[5].end 125.418
transcript.whisperx[5].text 我舉個例子就有跟汽車業有關的業者就在講說大家都在等這個關稅什麼時候確定大家都在期待說美國的車主我來台灣可以進口關稅降低是不是可以買到便宜車所以使得今年的這個市場上這個車輛的購買目前就陷於比較遲緩的狀況是不是造成這個產業上面
transcript.whisperx[6].start 133.451
transcript.whisperx[6].end 141.179
transcript.whisperx[6].text 他們的困擾那你這樣有沒有可能可以早一點如果不涉及你剛剛講的那兩個所謂勞動的條件跟請消的問題這方面的問題
transcript.whisperx[7].start 148.171
transcript.whisperx[7].end 172.698
transcript.whisperx[7].text 哪一部分產業能夠快一點現在我們的最大的目的是希望時間能夠早一些來確定讓業者安心第二個我們更期待的是我們有沒有辦法確保到我們當初所談的ART的內容確認那個內容以及確保我們所得到的優惠待遇當初談判的那個內容我個人認為是對台灣很有利
transcript.whisperx[8].start 174.69
transcript.whisperx[8].end 195.63
transcript.whisperx[8].text 如果能夠確保在這個301條款調查之後能夠確保的話那當然是非常好那你對這方面的信心度到哪裡因為我們當初爭取到15%而且不疊加讓我們的競爭力是得到一個相當好的一個支撐同時有我們對我們國家單獨豁免的項目正是我們最重要的一些產業那現在他
transcript.whisperx[9].start 196.591
transcript.whisperx[9].end 218.258
transcript.whisperx[9].text 這個IPA作廢之後使用122很多的品項是對全球都豁免了我們包括在內相反的有一些單獨對我們豁免的品項目前是沒有得到豁免所以我們還是認為回到ART的內容來講對我們國家的競爭力以及產業的保護應該是最完整而周到的所以朝這個方向來做那這個
transcript.whisperx[10].start 220.3
transcript.whisperx[10].end 241.051
transcript.whisperx[10].text 這樣子的進行程度,我是覺得應該多讓國人了解就是說我們進行的,我們政府談判的這個方向,對台灣有利的部分在阿德的談判過程當中,如果我們有到美方去做實體的會談我們之前,之後,回來之後,我們都會向國人做一些清楚的交代
transcript.whisperx[11].start 241.531
transcript.whisperx[11].end 270.333
transcript.whisperx[11].text 但當中有很多的視訊會議或是公文來來往往就比較沒有辦法但是一旦有重大的突破我們第一個會向產業來做說明所以我們對產業會做很多關懷的這個座談會關懷之旅希望他們能夠做說明同時我們未來我們也希望跟國人做充分的說明因為你這樣做很好但是就在給我的感覺因為我比較注意這一方面的新聞因為我們是在財政委員會嘛就一直覺得這一方面的說明好像對社會的說明還不是很充足是不是可以加強
transcript.whisperx[12].start 271.053
transcript.whisperx[12].end 296.276
transcript.whisperx[12].text 好我會請談判團隊無論是副院長辦公室或是OTM或是經濟部能夠跟我們大院裡面的各委員或是委員會來進行做必要的說明那相關需要機密的部分我們再共同來維護院長我要跟你講一個概念有一個概念叫做租稅法定主義那原因是哪裡這是跟從英國的大革命開始跟英國革命有關
transcript.whisperx[13].start 297.52
transcript.whisperx[13].end 312.253
transcript.whisperx[13].text 因為古時候的國王王權很高他要跟諸侯征稅要跟人征稅他就拿了那後來因為打英法百年戰爭花費太大了後來諸侯受不了所以起來大革命那大革命之後最後就簽訂
transcript.whisperx[14].start 313.579
transcript.whisperx[14].end 340.767
transcript.whisperx[14].text 過程最後就是簽訂這個大憲章最後就是我如果要徵稅要國會同意那在台灣在民主時代來了要徵稅要國會同意這個是第一個是法律保留原則稅一定是法律保留原則你所有要增加國民的負擔必須跟國民之間有一個間接的契約關係那這間接的契約關係就是國民選出的國會民意代表
transcript.whisperx[15].start 341.363
transcript.whisperx[15].end 358.761
transcript.whisperx[15].text 能夠同意你要徵稅的這個法律通過這樣你才能徵稅那所以我們在租稅方面就叫做租稅法定主義啦那租稅法定主義衍生的一個結果就是你的稅能不能收全部都是要法律規定
transcript.whisperx[16].start 360.319
transcript.whisperx[16].end 379.998
transcript.whisperx[16].text 但是倒過來講法律規定之後你的稅也不能不收啊我現在舉個例子你現在的消費稅是5%你也不能說我今天行政院覺得我錢夠了所以我不要收5%我收4%或是說我哪一個地方就把你免掉除非經過修法對 除非法律 我是說法律保留原則
transcript.whisperx[17].start 381.388
transcript.whisperx[17].end 402.035
transcript.whisperx[17].text 所以現在有一個很錯誤的觀念大家都已經因循這個錯誤的觀念我要在這個地方提醒你稅沒有什麼超徵的問題因為它全部都是法律的規定法律規定你該徵你就得徵啊所以沒有超徵徵數超過預算數但是徵收到的實質數額超過這個去年在
transcript.whisperx[18].start 410.756
transcript.whisperx[18].end 439.004
transcript.whisperx[18].text 在決定今年度預算時候的預算的收入數估計數那預算數是一個估計啊我舉個例子我今年覺得我今年應該要自己估計我今年應該要賺200萬台幣結果到了年底結算一下我居然賺到240萬可能是因為我的這個營業額增高了那我可不可以講說多賺40萬我就不要就退還
transcript.whisperx[19].start 440.109
transcript.whisperx[19].end 464.703
transcript.whisperx[19].text 所以剛剛講的租稅法定主義 租稅保留原則就稅沒有什麼今天坦白講如果國家 如果我們的政府所以法律沒有規定的稅多收一塊錢 那個都是不可以的那所以我再跟你講一個基本的觀念這個我們已經溝通過很多次了沒有超徵這個概念我聽你的說法非常正確那是持徵數高於預算數
transcript.whisperx[20].start 466.845
transcript.whisperx[20].end 486.178
transcript.whisperx[20].text 那為什麼會預算數會做這個保守的估計呢這個第一個我們的台灣的公務人員就是在這一方面觀念是基本上是比較保守他希望能夠盡量能夠接近第二個他去年邊境年度的預算的時候他用的是前年的資料
transcript.whisperx[21].start 487.613
transcript.whisperx[21].end 497.094
transcript.whisperx[21].text 你知道嗎用前年的資料來然後在去年的年中開始編列預算其實是去年的年初就開始編了然後要用在今年嘛
transcript.whisperx[22].start 497.688
transcript.whisperx[22].end 526.438
transcript.whisperx[22].text 所以這個訊息有落差兩年的這個問題然後他通常又不敢把那個GDP增長像去年我們增加了8點多的GDP那今年估計可能要增加7點多那這個數額是很大的但是他在編預算的時候他不敢這麼樂觀啊他都會想得比較保守啊所以那個預算數既然依照剛剛的觀念其實不會影響到實收的稅額
transcript.whisperx[23].start 527.941
transcript.whisperx[23].end 548.585
transcript.whisperx[23].text 所以他就認為說孤寶守點也不要緊不過我昨天看到一個很擔憂的問題我們在野黨的同仁一個很偉大的發明說因為去年因為被他們這樣弄之後又普發了一萬塊還拿了一萬塊的新台幣在那邊說你看領錢多好啊
transcript.whisperx[24].start 550.54
transcript.whisperx[24].end 577.089
transcript.whisperx[24].text 他覺得腸道的甜頭他覺得那個對於他在選舉上在罷免上對於選民的這個投票他們自認為是有影響所以他現在要把它入法化把錯誤的觀念入法化說以後啊我知道實收的預算實收的稅額比預算數高出15%以上的話他變成要把它入法說以後就是直接還稅於民這個也是錯誤的觀念
transcript.whisperx[25].start 580.034
transcript.whisperx[25].end 604.841
transcript.whisperx[25].text 因為普發一萬塊錢連那個沒有繳稅的小朋友肚子裡的嬰兒都有啊那不是還稅於民嗎因為所謂還稅於民的概念是把已經徵收到稅款退還給繳稅的人啊如果這個是對的話那誰會退最多我認為各個法人台積電會退最多啦但事實上領到錢是自然人一個人領一萬塊嘛對不對那照理來講
transcript.whisperx[26].start 606.132
transcript.whisperx[26].end 610.464
transcript.whisperx[26].text 行政權的核心就是經費預算跟人事啊
transcript.whisperx[27].start 611.448
transcript.whisperx[27].end 639.729
transcript.whisperx[27].text 那他現在把你這個預算的部分這樣弄而且用錯誤的觀念一直延伸一直延伸一直往前這樣子無限的這樣推演這錯誤的觀念如何推如何能夠匡正觀念先正確如果我們的社會因為遇到疫情遇到什麼天然災害有需要的時候行政院認為我的預算足夠我的經費足夠我願意把這一部分的錢直接
transcript.whisperx[28].start 640.829
transcript.whisperx[28].end 668.767
transcript.whisperx[28].text 給我們的國民這是可以的但是必須是行政院提出而不是立法院提出因為立法院憲法有規定不可以為增加預算室提案啊那不能為增加預算室提案那我立一個法強迫你把錢拿出來可以嗎因為真正要發給會的人是行政院嘛對不對所以我是覺得你們第一個他現在不經過委員會討論要直接進副二讀
transcript.whisperx[29].start 669.953
transcript.whisperx[29].end 695.203
transcript.whisperx[29].text 這些人不講道理其實我覺得他們也不是不懂他們在做政治操作是 委員的講法非常的正確去年我們也講過比如說如果時增數超過預算數會造成稅基剩餘所以剩餘的使用我們是有限制有規定的必須先還債等等它有一套規定的再來全國要做這麼大的公共的建設像現在已經有計畫來還沒核定的軌道建設超過6000億以上
transcript.whisperx[30].start 696.644
transcript.whisperx[30].end 717.484
transcript.whisperx[30].text 那如果錢都花給大家那這個公共建設重大的公共建設是無法來支應的況且還有很多的國防還有很多的社會福利我們每年要編足夠的預算在裡面那如果可以有時增數超過預算數的稅宜剩餘我們在往後就可以下一年度增加這個福利啦增加建設啦增加其他種種而不是這樣把它散出去但是
transcript.whisperx[31].start 718.872
transcript.whisperx[31].end 744.465
transcript.whisperx[31].text 終究是來自人民努力跟產業努力的結果我們一定是把它放到對人民對產業有利的方向去這個前提不會錯而且這個預算會讓貧富懸殊的這個差距可以縮減我們會調節的作用你用這個普發一萬塊錢的這個對於這個貧富縮減的那個效益不大啦所以他當然有諸多的考量但是我現在在跟你講說我最後那一句話他們現在在做政治的操作啦為什麼因為11月28號選舉又來了
transcript.whisperx[32].start 746.946
transcript.whisperx[32].end 765.524
transcript.whisperx[32].text 所以他們現在進夫惡毒希望行政院反對說你這個沒有道理然後希望民進黨黨團反對這個沒有道理不應該是這個樣子他們就可以出去跟選民訴求你看我們直接要給你們一萬塊錢啊我們要直接給你們錢啊是民進黨在反對民進黨在黨啊那我現在是要說
transcript.whisperx[33].start 766.929
transcript.whisperx[33].end 793.825
transcript.whisperx[33].text 我們如果了解他背後的動機是這樣子的話你要有以待之啊你要怎麼處理呢這個是不是要經過好好的討論不然很容易因為一般的民眾不能夠了解那麼多他沒有辦法了解那麼多人家在野黨要國民黨跟民眾黨加起來要直接又要把多收的稅金要直接給我們結果行政院在反對那到時候你 你要怎麼辦所以這種政治操作又來啦
transcript.whisperx[34].start 794.946
transcript.whisperx[34].end 823.624
transcript.whisperx[34].text 以今年的預算來看我們也是因為去年這樣的處理我們今年舉債了將近三千億如果特別預算的話是超過四千億當國家把一筆錢用這樣的普發的方式出去之後我們要做公共建設等等就必須去舉債而來那對國家來講是得不償失啦對人民來講也許獲得了一部分的這種現金但是整個國家的基礎建設重大的發展是因而停滯的我們認為我們應該有必要有需要再強加說明這個部分
transcript.whisperx[35].start 824.184
transcript.whisperx[35].end 851.058
transcript.whisperx[35].text 好另外一點就是說他現在抓的點喔是你的時增數高於預算數超過15%嘛那然後另外一個角度就是你預算編列的時候你的稅數不要編得這麼的保守莊部長在身邊我跟他講過很多次了你要把未來的這兩年經濟成長率的這個增加值要估算在內而且
transcript.whisperx[36].start 851.926
transcript.whisperx[36].end 875.258
transcript.whisperx[36].text 我們的台灣的公司台灣的全體人民這麼的努力使我們的企業賺大錢賺大錢之後將來鼓勵發給股東之後還會個人所得稅所以那個有遞減效應我是覺得我們財政部當然有這個能力只是大家不要太保守太保守就會產生的結果其實這個問題的來源很很長啦就是從那個
transcript.whisperx[37].start 877.157
transcript.whisperx[37].end 892.216
transcript.whisperx[37].text 從那個什麼叫做稅改聯盟那稅改聯盟你就知道是什麼一回事嘛那其實是一個個案啊那個個案是因為他不願意繳稅他要把那個進施費當作你們當作這等於是補習班的交的補習費類似這樣要收稅結果他說這個是證據他全部都不要繳問題是從那邊來的啊
transcript.whisperx[38].start 896.665
transcript.whisperx[38].end 914.357
transcript.whisperx[38].text 所以一直錯誤的觀念一直被引導一直被引導我覺得財政部有義務要把這個做清楚的說明我們在稅收的估測上我們應該要更精進然後做更接近事實的一個估測我相信會比較好好我們大家一起加油好不好謝謝委員謝謝謝謝吳委員謝謝卓院長下一位請廖先祥委員質詢