iVOD / 164643

Field Value
IVOD_ID 164643
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164643
日期 2025-10-23
會議資料.會議代碼 委員會-11-4-19-7
會議資料.會議代碼:str 第11屆第4會期經濟委員會第7次全體委員會議
會議資料.屆 11
會議資料.會期 4
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] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第4會期經濟委員會第7次全體委員會議
影片種類 Clip
開始時間 2025-10-23T09:18:29+08:00
結束時間 2025-10-23T09:30:46+08:00
影片長度 00:12:17
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1f1f5c91750503d37218d439df1f91adcbd78a287304ef9f3bd93a97ab1467137928a3d90b696a425ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱議瑩
委員發言時間 09:18:29 - 09:30:46
會議時間 2025-10-23T09:00:00+08:00
會議名稱 立法院第11屆第4會期經濟委員會第7次全體委員會議(事由:邀請農業部部長及財政部關務署首長就「非洲豬瘟防檢疫後續防疫精進作為」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 10.57784375
transcript.pyannote[0].end 12.87284375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 13.58159375
transcript.pyannote[1].end 14.07096875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 14.81346875
transcript.pyannote[2].end 15.74159375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 23.08221875
transcript.pyannote[3].end 23.62221875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 24.21284375
transcript.pyannote[4].end 25.39409375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 26.44034375
transcript.pyannote[5].end 27.31784375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 27.48659375
transcript.pyannote[6].end 28.43159375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 29.05596875
transcript.pyannote[7].end 30.40596875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 31.21596875
transcript.pyannote[8].end 32.68409375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 33.13971875
transcript.pyannote[9].end 34.45596875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 34.67534375
transcript.pyannote[10].end 36.49784375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 35.53596875
transcript.pyannote[11].end 36.59909375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 37.20659375
transcript.pyannote[12].end 38.94471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 41.69534375
transcript.pyannote[13].end 42.40409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 41.77971875
transcript.pyannote[14].end 43.09596875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 44.20971875
transcript.pyannote[15].end 45.69471875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 46.48784375
transcript.pyannote[16].end 49.66034375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 50.92596875
transcript.pyannote[17].end 57.81096875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 58.16534375
transcript.pyannote[18].end 64.29096875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 65.67471875
transcript.pyannote[19].end 67.19346875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 68.93159375
transcript.pyannote[20].end 71.46284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 72.91409375
transcript.pyannote[21].end 76.49159375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 76.72784375
transcript.pyannote[22].end 79.24221875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 79.98471875
transcript.pyannote[23].end 83.96721875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 85.14846875
transcript.pyannote[24].end 86.21159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 86.38034375
transcript.pyannote[25].end 90.71721875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 90.17721875
transcript.pyannote[26].end 90.56534375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 91.20659375
transcript.pyannote[27].end 94.59846875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 95.23971875
transcript.pyannote[28].end 96.79221875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 97.78784375
transcript.pyannote[29].end 99.99846875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 100.28534375
transcript.pyannote[30].end 101.65221875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 102.52971875
transcript.pyannote[31].end 103.57596875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 103.96409375
transcript.pyannote[32].end 105.88784375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 106.51221875
transcript.pyannote[33].end 119.05034375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 119.05034375
transcript.pyannote[34].end 123.38721875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 123.48846875
transcript.pyannote[35].end 127.20096875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 127.77471875
transcript.pyannote[36].end 133.63034375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 130.47471875
transcript.pyannote[37].end 130.52534375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 133.73159375
transcript.pyannote[38].end 138.20346875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 138.40596875
transcript.pyannote[39].end 146.13471875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 141.49409375
transcript.pyannote[40].end 141.89909375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 146.13471875
transcript.pyannote[41].end 146.48909375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 146.65784375
transcript.pyannote[42].end 150.15096875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 150.65721875
transcript.pyannote[43].end 153.30659375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 153.72846875
transcript.pyannote[44].end 158.25096875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 158.75721875
transcript.pyannote[45].end 160.78221875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 161.33909375
transcript.pyannote[46].end 167.32971875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 168.00471875
transcript.pyannote[47].end 172.08846875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 172.24034375
transcript.pyannote[48].end 177.72471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 179.02409375
transcript.pyannote[49].end 185.52096875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 185.99346875
transcript.pyannote[50].end 187.91721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 188.17034375
transcript.pyannote[51].end 189.62159375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 190.04346875
transcript.pyannote[52].end 194.49846875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 195.08909375
transcript.pyannote[53].end 196.10159375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 196.87784375
transcript.pyannote[54].end 200.50596875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 200.84346875
transcript.pyannote[55].end 203.77971875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 204.62346875
transcript.pyannote[56].end 207.82971875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 208.18409375
transcript.pyannote[57].end 211.42409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 212.33534375
transcript.pyannote[58].end 213.11159375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 214.71471875
transcript.pyannote[59].end 218.47784375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 219.38909375
transcript.pyannote[60].end 221.36346875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 222.37596875
transcript.pyannote[61].end 226.42596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 227.25284375
transcript.pyannote[62].end 230.03721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 230.88096875
transcript.pyannote[63].end 232.80471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 233.36159375
transcript.pyannote[64].end 237.34409375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 238.74471875
transcript.pyannote[65].end 245.78159375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 246.55784375
transcript.pyannote[66].end 247.84034375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 248.41409375
transcript.pyannote[67].end 253.10534375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 254.05034375
transcript.pyannote[68].end 256.64909375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 257.44221875
transcript.pyannote[69].end 259.41659375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 259.90596875
transcript.pyannote[70].end 264.15846875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 264.37784375
transcript.pyannote[71].end 268.74846875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 269.08596875
transcript.pyannote[72].end 277.65846875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 278.04659375
transcript.pyannote[73].end 279.00846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 279.24471875
transcript.pyannote[74].end 279.93659375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 280.98284375
transcript.pyannote[75].end 281.79284375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 281.84346875
transcript.pyannote[76].end 282.55221875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 282.61971875
transcript.pyannote[77].end 284.42534375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 282.87284375
transcript.pyannote[78].end 282.99096875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 284.72909375
transcript.pyannote[79].end 286.93971875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 287.39534375
transcript.pyannote[80].end 288.79596875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 289.33596875
transcript.pyannote[81].end 300.65909375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 301.19909375
transcript.pyannote[82].end 303.44346875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 303.64596875
transcript.pyannote[83].end 307.03784375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 307.76346875
transcript.pyannote[84].end 313.23096875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 313.87221875
transcript.pyannote[85].end 322.27596875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 322.39409375
transcript.pyannote[86].end 323.38971875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 323.69346875
transcript.pyannote[87].end 329.51534375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 329.73471875
transcript.pyannote[88].end 337.46346875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 337.75034375
transcript.pyannote[89].end 338.23971875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 338.89784375
transcript.pyannote[90].end 341.53034375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 341.34471875
transcript.pyannote[91].end 347.82471875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 346.99784375
transcript.pyannote[92].end 367.11284375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 367.11284375
transcript.pyannote[93].end 371.95596875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 371.98971875
transcript.pyannote[94].end 372.00659375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 372.00659375
transcript.pyannote[95].end 372.42846875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 372.37784375
transcript.pyannote[96].end 395.74971875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 374.70659375
transcript.pyannote[97].end 375.12846875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 376.52909375
transcript.pyannote[98].end 377.01846875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 378.50346875
transcript.pyannote[99].end 379.44846875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 380.08971875
transcript.pyannote[100].end 380.32596875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 380.34284375
transcript.pyannote[101].end 380.47784375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 395.88471875
transcript.pyannote[102].end 398.66909375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 398.85471875
transcript.pyannote[103].end 407.15721875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 407.22471875
transcript.pyannote[104].end 418.05846875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 418.39596875
transcript.pyannote[105].end 422.17596875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 422.54721875
transcript.pyannote[106].end 423.13784375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 424.13346875
transcript.pyannote[107].end 424.55534375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 425.26409375
transcript.pyannote[108].end 427.57596875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 428.01471875
transcript.pyannote[109].end 429.76971875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 430.22534375
transcript.pyannote[110].end 431.52471875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 432.09846875
transcript.pyannote[111].end 435.54096875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 436.77284375
transcript.pyannote[112].end 438.24096875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 438.79784375
transcript.pyannote[113].end 439.65846875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 439.01721875
transcript.pyannote[114].end 440.46846875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 440.75534375
transcript.pyannote[115].end 441.58221875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 441.88596875
transcript.pyannote[116].end 442.86471875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 443.75909375
transcript.pyannote[117].end 444.87284375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 445.98659375
transcript.pyannote[118].end 447.08346875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 447.57284375
transcript.pyannote[119].end 448.73721875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 448.78784375
transcript.pyannote[120].end 452.06159375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 453.32721875
transcript.pyannote[121].end 458.91284375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 459.23346875
transcript.pyannote[122].end 464.80221875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 465.30846875
transcript.pyannote[123].end 469.27409375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 469.54409375
transcript.pyannote[124].end 484.90034375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 485.64284375
transcript.pyannote[125].end 490.72221875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 491.05971875
transcript.pyannote[126].end 491.53221875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 492.17346875
transcript.pyannote[127].end 493.62471875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 494.18159375
transcript.pyannote[128].end 510.60096875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 511.39409375
transcript.pyannote[129].end 541.51596875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 518.05971875
transcript.pyannote[130].end 518.11034375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 524.52284375
transcript.pyannote[131].end 526.07534375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 530.47971875
transcript.pyannote[132].end 530.61471875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 534.20909375
transcript.pyannote[133].end 534.46221875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 541.80284375
transcript.pyannote[134].end 548.13096875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 548.78909375
transcript.pyannote[135].end 550.24034375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 549.48096875
transcript.pyannote[136].end 565.59659375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 565.12409375
transcript.pyannote[137].end 566.45721875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 566.54159375
transcript.pyannote[138].end 571.31721875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 569.27534375
transcript.pyannote[139].end 569.79846875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 570.10221875
transcript.pyannote[140].end 570.59159375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 571.70534375
transcript.pyannote[141].end 572.88659375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 573.24096875
transcript.pyannote[142].end 588.12471875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 588.15846875
transcript.pyannote[143].end 588.22596875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 588.41159375
transcript.pyannote[144].end 590.25096875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 590.72346875
transcript.pyannote[145].end 601.28721875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 601.52346875
transcript.pyannote[146].end 603.93659375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 604.35846875
transcript.pyannote[147].end 604.71284375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 605.03346875
transcript.pyannote[148].end 607.90221875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 608.27346875
transcript.pyannote[149].end 611.80034375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 612.57659375
transcript.pyannote[150].end 613.99409375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 614.43284375
transcript.pyannote[151].end 615.71534375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 616.12034375
transcript.pyannote[152].end 620.55846875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 620.98034375
transcript.pyannote[153].end 623.17409375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 623.61284375
transcript.pyannote[154].end 625.45221875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 625.99221875
transcript.pyannote[155].end 632.06721875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 632.60721875
transcript.pyannote[156].end 633.78846875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 634.12596875
transcript.pyannote[157].end 640.20096875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 640.47096875
transcript.pyannote[158].end 653.05971875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 653.26221875
transcript.pyannote[159].end 655.74284375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 655.86096875
transcript.pyannote[160].end 663.30284375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 663.42096875
transcript.pyannote[161].end 673.83284375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 674.23784375
transcript.pyannote[162].end 688.39596875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 688.73346875
transcript.pyannote[163].end 701.28846875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 701.20409375
transcript.pyannote[164].end 705.49034375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 705.92909375
transcript.pyannote[165].end 716.74596875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 716.99909375
transcript.pyannote[166].end 733.68846875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 733.85721875
transcript.pyannote[167].end 736.54034375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 736.59096875
transcript.pyannote[168].end 737.26596875
transcript.whisperx[0].start 10.592
transcript.whisperx[0].end 38.664
transcript.whisperx[0].text 好謝謝主席我請一下陳部長我們請陳部長喂好部長好部長您在10月20號左右聽到這個消息嘛對不對21號21號左右聽到這個消息你內心第一個想法是什麼
transcript.whisperx[1].start 41.838
transcript.whisperx[1].end 70.9
transcript.whisperx[1].text 我直接講啦或許你不好意思表達我們守非洲豬瘟守了六七年好不容易在今年的五月我們獲得世界動物衛生組織的認證台灣是亞洲唯一一個口蹄疫豬瘟非洲豬瘟的三大非疫區結果一夕之間破功我昨天聽到這個消息的時候我非常非常的難過
transcript.whisperx[2].start 72.947
transcript.whisperx[2].end 101.394
transcript.whisperx[2].text 好部長這個是你們整理出來的整個疑似非洲豬瘟的大事記疑似因為你昨天是用疑似這件事情來開記者會我進一步請教根據您今天的這一份報告我就一項一項來請教你大事記我看我就也不用再特別看了初步的檢驗結果PCR核酸呈陽性那代表的意思是什麼
transcript.whisperx[3].start 102.554
transcript.whisperx[3].end 125.704
transcript.whisperx[3].text 他就是確認他是非洲豬瘟是不是我想非洲豬瘟的確認等一下我是不是可以請我們的那個獸醫所來報告因為核酸片段是代表他有有這樣子的核酸片段但是他還是要做完成的定序所以你還沒有做完完成的定序所以現在還不能告訴大家是不是確定是定序昨天做完了但是根據WOH如果說
transcript.whisperx[4].start 128.285
transcript.whisperx[4].end 145.555
transcript.whisperx[4].text 這個國家發生第一例的時候那你必須做病毒的分類那病毒的分類大概要兩個禮拜的時間那病毒的分類確定了以後才能跟WHO去通報所以這段時間我們是用儀式的方式但是用最高規格的方式來處理好
transcript.whisperx[5].start 146.756
transcript.whisperx[5].end 166.988
transcript.whisperx[5].text 如果是這樣的話我也尊重你們的處理機制不過部長我想要看的就是說這件事情我覺得一定是有某些疏失這些疏失會出現在哪裡比如說在10月10號的時候台中的這個牧場已經開始有出現豬隻死亡
transcript.whisperx[6].start 168.71
transcript.whisperx[6].end 177.417
transcript.whisperx[6].text 14號台中動保處去訪視但是沒有採樣動保處認為沒有異常可是依照中央的規定你只要有
transcript.whisperx[7].start 179.036
transcript.whisperx[7].end 202.078
transcript.whisperx[7].text 不確定性你只要有不知名原因的死亡都應該要立刻採檢結果台中的動保處拖了10天已經死了117頭豬了拖了10天才通報更扯的是在10月13號的時候這一家牧場還快速運了30頭豬出去賣
transcript.whisperx[8].start 204.7
transcript.whisperx[8].end 225.373
transcript.whisperx[8].text 我不知道他內心到底知不知道他的牧場出狀況了然後想說趁這個時間趕快把這個豬趕快把它賣掉然後呢我看到最難過的是昨天的新聞我看到最難過的是最愛驗豬肉的盧秀燕市長一盒西部特羅驗了這樣子驗到台塘虧損連連
transcript.whisperx[9].start 227.361
transcript.whisperx[9].end 256.088
transcript.whisperx[9].text 最該驗的豬隻死亡不驗不開記者會不說明竟然叫大家去參加台中購物節拼經濟到底盧秀燕市長知不知道這個養豬業者的所有的產值所影響的是多少億剛剛我們的昭緯講了昭緯一開始主持會的時候就講了這影響將近千億的產值啊這千億的產值盧秀燕賠得起嗎
transcript.whisperx[10].start 257.723
transcript.whisperx[10].end 279.541
transcript.whisperx[10].text 盧修彥可以擔得起來嗎台中動保處可以擔得起來這個責任嗎很顯然沒有現在所有的作為幾乎全部是要交給你們農業部去做部長我要請教如果交給農業部去做後面的精進作為幾件事情請教農業部昨天講了幾個方案幾件事情第一個
transcript.whisperx[11].start 281.058
transcript.whisperx[11].end 305.37
transcript.whisperx[11].text 禁宰豬肉第二個禁用這個廚餘餵食到底禁宰豬肉跟禁用廚餘餵食期間是要多久過去我們曾經有禁止廚餘餵食一個月那針對今天台中的這個案子你們的禁止廚餘餵食是會多久20天我們跟這個全國的養豬協會
transcript.whisperx[12].start 307.851
transcript.whisperx[12].end 323.164
transcript.whisperx[12].text 做過電話聯繫 做過討論他告訴我們為了要讓消費者安心20天是他們可以撐得住的就是20天不要台幣20天不要用廚餘去吃的他們是可以撐得住的農業部怎麼看
transcript.whisperx[13].start 323.717
transcript.whisperx[13].end 337.09
transcript.whisperx[13].text 我想農業部針對這樣子的一個禁運禁載跟禁止使用廚餘我們是用他的一個可能發病的潛伏期15天所以我們的整個的禁運或是禁用廚餘是用以15天為
transcript.whisperx[14].start 339.516
transcript.whisperx[14].end 366.876
transcript.whisperx[14].text 為最大的一個管制的時間點所以你現在是要禁載禁運跟禁用廚餘你現在抓的天數是15天但是我們每5天去做一個觀察那這些觀察就是讓我們的疫調能夠就是更精準的觀察那如果說在這15天之內如果說我們的疫情跟他的疫調的結果他沒有在擴散的時候那我們可能有機會提早解除這樣的一個禁令
transcript.whisperx[15].start 367.416
transcript.whisperx[15].end 395.482
transcript.whisperx[15].text 所以現在就是很清楚的告訴大家以15天為基準 禁載 禁運 禁用廚餘 養豬現在是以15天但是你用5天為一個觀察基數嘛所以是不是農業部是不是也能夠5天就公布一次你們這5天的觀察期的數據跟現在的進程 你們的疫調的進程能夠讓社會大眾 能夠讓消費者也安心也能夠讓我們的養豬業者安心
transcript.whisperx[16].start 395.942
transcript.whisperx[16].end 421.775
transcript.whisperx[16].text 我跟委員報告我們在前進指揮所每一天工作會議結束以後每一天都會召開記者會對外說明每一天會把我們的疫調的進度對外說明讓我們的民眾了解好 謝謝部長第二個我要請教昨天你們的昨天我們的這個應變中心啊也特別提到那這些病死豬的處理模式應變中心要求這些所有的病死豬必須焚化
transcript.whisperx[17].start 424.238
transcript.whisperx[17].end 451.62
transcript.whisperx[17].text 對不對必須要送到焚化爐去焚化但是台中市政府說他沒有辦法焚化台中市政府主張採取掩埋的方式部長您知道這件事情嗎那如果他要掩埋我要請教埋在哪裡如何掩埋對於土壤對於水源會不會造成污染對於環境會不會造成影響
transcript.whisperx[18].start 453.393
transcript.whisperx[18].end 468.972
transcript.whisperx[18].text 有合法的掩埋場嗎有合法的病死豬掩埋場嗎部長你有掌握嗎有 我跟委員報告就是對一般的病死豬除了主要是送到化資廠但是如果說因為特殊的原因沒有辦法送到化資廠的話他是可以就地掩埋
transcript.whisperx[19].start 469.632
transcript.whisperx[19].end 484.605
transcript.whisperx[19].text 或者是焚燒的部分但是掩埋也有一般掩埋的相關的作業規範而不是說就挖個坑就把病死豬就丟進去了所以相關的就算是掩埋它相關的部分也有相關的一個規範那今天最重要就是
transcript.whisperx[20].start 485.7
transcript.whisperx[20].end 510.414
transcript.whisperx[20].text 因為台中本身是現在看起來的主要的疫區那我們做框定我們不希望說台東市裡面的這些豬隻有流到外縣市就是移出外縣市所以針對台東市是特殊的我們希望說他的病死豬的部分能夠就地處理那這個處理包括我們昨天也調度了一些生物處理機讓他去做有效的處理
transcript.whisperx[21].start 511.431
transcript.whisperx[21].end 529.692
transcript.whisperx[21].text 部長你還是沒有回答問題啊他就地處理是要就地怎麼處理他是就地掩埋還是就地在地焚化爐去焚化嘛如果你很堅持用在地的焚化爐去焚化那我覺得這件事情我是支持農業部喔昨天我們在中央影片中間你可以幫他協助看他要再去到哪裡就地的焚化爐我覺得
transcript.whisperx[22].start 530.953
transcript.whisperx[22].end 547.561
transcript.whisperx[22].text 立刻把它分化這個對大家來講會是比較安心埋在土裡你根本不知道他埋在哪一個野埋場那那個野埋場合不合法那個野埋場的處置作業適不適合這個都是大家擔心的一件事情所以這個可能會後我要請部長再
transcript.whisperx[23].start 549.014
transcript.whisperx[23].end 570.592
transcript.whisperx[23].text 還是部長您現在要說明我們昨天開會的時候我們就請台中市政府送到焚化爐去但是焚化爐太大隻不能弄所以我們也增掉了許多生物處理機在焚化爐旁邊透過生物處理機來處理到一部分以後再進到焚化爐去我們是用這樣的態度台中市願意遵守嗎台中市願意已經媒合了我們媒合了很多這個所以未來會這個
transcript.whisperx[24].start 571.735
transcript.whisperx[24].end 589.63
transcript.whisperx[24].text 好如果是這樣不好意思主席再給我兩分鐘的時間這個剛剛關務署也特別報告我想這個農業部大概也有密切掌握其實這幾年來違規攜帶豬肉入境的還是層出不窮而且這個數量都還是頗多那我們的宣導
transcript.whisperx[25].start 590.771
transcript.whisperx[25].end 611.683
transcript.whisperx[25].text 我們一直告訴大家不要攜帶豬肉入境這個會造成台灣有感染非洲豬瘟的風險結果沒有想到藍白兩黨認為你們的煤炫預算太多所以就聯手大砍了煤炫預算偉大的黃國昌委員還說要砍到讓大家有感
transcript.whisperx[26].start 612.783
transcript.whisperx[26].end 631.804
transcript.whisperx[26].text 這真的大家就有感啦非洲豬瘟進來啦防疫宣傳不夠啊防疫動作不夠啊真的讓大家很有感而且這個感是憤怒啊被他們這樣預算亂砍導致台灣未來有可能成為非洲豬瘟的疫區我覺得這個是讓我們最感到
transcript.whisperx[27].start 632.865
transcript.whisperx[27].end 655.444
transcript.whisperx[27].text 憤怒的地方部長最後一個我要跟您提醒我們現在等於是在亡羊補牢等於是在幫人家擦屁股在處理後續的事情但是後續的事情包括我剛剛講的這個病死豬的焚化處理的流程這個你們一定要趕快建立所謂的SOP第二個我們要求所有的
transcript.whisperx[28].start 655.984
transcript.whisperx[28].end 673.583
transcript.whisperx[28].text 不管是養豬場也好所有的市場等等都要做清消那這些消毒水的供應是不是也能夠請農業部來協助各地方縣市政府趕快發送到各個養豬場或者是肉品市場或者是屠宰場等等
transcript.whisperx[29].start 674.805
transcript.whisperx[29].end 700.888
transcript.whisperx[29].text 相關的場域這一些消毒水的發放甚至類似這樣的一個防疫的補助經費是不是也能夠請貴府部趕快盤點然後趕快來協助地方政府來做總之我希望雖然已經被突破了但是後面的亡羊補牢的工作後面的圍堵我們還是要持續加速甚至加緊加嚴來進行部長這個可以做得到嗎
transcript.whisperx[30].start 701.288
transcript.whisperx[30].end 722.131
transcript.whisperx[30].text 我想謝謝委員的提醒這四點我們已經第三點第四點已經昨天就宣布了而且在做了那我在這邊要特別特別藉這個機會呼籲各地方政府因為現在各地方政府本身的一些畫製廠他是不允許其他縣市進到那邊畫製的那我覺得在這個時間點除了台東市我們單獨處理以外
transcript.whisperx[31].start 722.651
transcript.whisperx[31].end 736.688
transcript.whisperx[31].text 那其他縣市的這些正常的病死豬的部分希望各縣市能夠一起合作讓他的豬隻能夠進到花枝場這樣的話才不會流露到非法的這些丟棄我們希望說大家一起努力好 謝謝