iVOD / 164815

Field Value
IVOD_ID 164815
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164815
日期 2025-10-29
會議資料.會議代碼 委員會-11-4-15-8
會議資料.會議代碼:str 第11屆第4會期內政委員會第8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 8
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第4會期內政委員會第8次全體委員會議
影片種類 Clip
開始時間 2025-10-29T10:26:36+08:00
結束時間 2025-10-29T10:37:15+08:00
影片長度 00:10:39
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3d43f2f62388da51bfcba1cf504773d6198a631d8f132014a1aee410a7bf192f6631682cceb1dba85ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 牛煦庭
委員發言時間 10:26:36 - 10:37:15
會議時間 2025-10-29T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第8次全體委員會議(事由:一、邀請內政部部長、海洋委員會主任委員、內政部警政署署長、內政部移民署署長、海洋委員會海巡署署長、農業部部長、財政部關務署署長,就「防堵非洲豬瘟邊境檢疫與查緝機制之檢討與精進作為」進行專題報告,並備質詢。 二、審查委員徐巧芯等16人擬具「海岸巡防法第十三條條文修正草案」案。 【法律案僅詢答】 【10月29日及30日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 4.03034375
transcript.pyannote[0].end 12.06284375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 12.56909375
transcript.pyannote[1].end 15.11721875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 21.24284375
transcript.pyannote[2].end 22.03596875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 22.05284375
transcript.pyannote[3].end 22.60971875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 22.87971875
transcript.pyannote[4].end 24.31409375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 27.25034375
transcript.pyannote[5].end 29.35971875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 29.89971875
transcript.pyannote[6].end 32.56596875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 32.86971875
transcript.pyannote[7].end 34.16909375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 34.55721875
transcript.pyannote[8].end 37.45971875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 37.94909375
transcript.pyannote[9].end 56.71409375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 56.78159375
transcript.pyannote[10].end 61.97909375
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 62.78909375
transcript.pyannote[11].end 63.59909375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 63.19409375
transcript.pyannote[12].end 65.28659375
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 63.61596875
transcript.pyannote[13].end 64.05471875
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 64.89846875
transcript.pyannote[14].end 65.57346875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 65.57346875
transcript.pyannote[15].end 68.89784375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 69.57284375
transcript.pyannote[16].end 70.51784375
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 71.19284375
transcript.pyannote[17].end 73.45409375
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 73.69034375
transcript.pyannote[18].end 75.12471875
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 75.36096875
transcript.pyannote[19].end 78.73596875
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 78.85409375
transcript.pyannote[20].end 80.22096875
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 80.35596875
transcript.pyannote[21].end 81.45284375
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 82.09409375
transcript.pyannote[22].end 82.54971875
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 83.10659375
transcript.pyannote[23].end 83.57909375
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 84.32159375
transcript.pyannote[24].end 84.65909375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 85.11471875
transcript.pyannote[25].end 85.13159375
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 85.13159375
transcript.pyannote[26].end 87.29159375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 85.16534375
transcript.pyannote[27].end 87.24096875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 87.56159375
transcript.pyannote[28].end 94.49721875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 90.37971875
transcript.pyannote[29].end 90.43034375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 94.91909375
transcript.pyannote[30].end 96.94409375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 97.43346875
transcript.pyannote[31].end 104.03159375
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 104.14971875
transcript.pyannote[32].end 104.48721875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 104.85846875
transcript.pyannote[33].end 107.27159375
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 107.99721875
transcript.pyannote[34].end 108.65534375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 109.26284375
transcript.pyannote[35].end 119.55659375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 110.98409375
transcript.pyannote[36].end 111.89534375
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 113.07659375
transcript.pyannote[37].end 113.14409375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 119.86034375
transcript.pyannote[38].end 129.12471875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 120.92346875
transcript.pyannote[39].end 121.37909375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 129.96846875
transcript.pyannote[40].end 141.03846875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 134.81159375
transcript.pyannote[41].end 135.23346875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 137.57909375
transcript.pyannote[42].end 137.86596875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 141.03846875
transcript.pyannote[43].end 141.05534375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 141.05534375
transcript.pyannote[44].end 146.30346875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 141.12284375
transcript.pyannote[45].end 141.22409375
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 146.50596875
transcript.pyannote[46].end 153.79596875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 151.53471875
transcript.pyannote[47].end 154.03221875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 154.31909375
transcript.pyannote[48].end 156.73221875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 157.47471875
transcript.pyannote[49].end 165.33846875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 159.98909375
transcript.pyannote[50].end 163.78596875
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 164.56221875
transcript.pyannote[51].end 178.51784375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 170.50221875
transcript.pyannote[52].end 173.96159375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 175.59846875
transcript.pyannote[53].end 177.40409375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 178.06221875
transcript.pyannote[54].end 186.16221875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 180.17159375
transcript.pyannote[55].end 180.99846875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 186.80346875
transcript.pyannote[56].end 192.86159375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 190.07721875
transcript.pyannote[57].end 191.08971875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 191.88284375
transcript.pyannote[58].end 199.39221875
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 193.97534375
transcript.pyannote[59].end 194.32971875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 198.90284375
transcript.pyannote[60].end 203.29034375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 200.79284375
transcript.pyannote[61].end 208.45409375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 203.72909375
transcript.pyannote[62].end 204.18471875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 208.08284375
transcript.pyannote[63].end 219.89534375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 209.83784375
transcript.pyannote[64].end 210.20909375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 219.42284375
transcript.pyannote[65].end 225.44721875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 223.03409375
transcript.pyannote[66].end 223.91159375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 225.70034375
transcript.pyannote[67].end 238.39034375
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 238.39034375
transcript.pyannote[68].end 239.48721875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 239.60534375
transcript.pyannote[69].end 242.17034375
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 240.11159375
transcript.pyannote[70].end 240.43221875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 242.52471875
transcript.pyannote[71].end 248.46471875
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 249.40971875
transcript.pyannote[72].end 249.93284375
transcript.pyannote[73].speaker SPEAKER_05
transcript.pyannote[73].start 250.23659375
transcript.pyannote[73].end 253.42596875
transcript.pyannote[74].speaker SPEAKER_05
transcript.pyannote[74].start 253.67909375
transcript.pyannote[74].end 256.15971875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 254.86034375
transcript.pyannote[75].end 266.13284375
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 259.01159375
transcript.pyannote[76].end 259.06221875
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 262.57221875
transcript.pyannote[77].end 262.96034375
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 266.31846875
transcript.pyannote[78].end 268.27596875
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 268.56284375
transcript.pyannote[79].end 269.17034375
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 269.77784375
transcript.pyannote[80].end 272.34284375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 272.62971875
transcript.pyannote[81].end 273.35534375
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 273.35534375
transcript.pyannote[82].end 273.38909375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 273.38909375
transcript.pyannote[83].end 273.40596875
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 275.26221875
transcript.pyannote[84].end 278.60346875
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 279.22784375
transcript.pyannote[85].end 281.60721875
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 281.64096875
transcript.pyannote[86].end 283.29471875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 283.59846875
transcript.pyannote[87].end 287.59784375
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 285.08346875
transcript.pyannote[88].end 286.29846875
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 287.95221875
transcript.pyannote[89].end 289.77471875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 287.98596875
transcript.pyannote[90].end 288.96471875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 288.96471875
transcript.pyannote[91].end 288.98159375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 288.98159375
transcript.pyannote[92].end 289.03221875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 289.03221875
transcript.pyannote[93].end 289.18409375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 289.18409375
transcript.pyannote[94].end 289.60596875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 291.27659375
transcript.pyannote[95].end 296.77784375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 297.26721875
transcript.pyannote[96].end 300.38909375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 300.47346875
transcript.pyannote[97].end 305.11409375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 305.11409375
transcript.pyannote[98].end 306.66659375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 306.97034375
transcript.pyannote[99].end 317.93909375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 322.02284375
transcript.pyannote[100].end 323.17034375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 323.27159375
transcript.pyannote[101].end 334.81409375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 334.81409375
transcript.pyannote[102].end 339.01596875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 339.74159375
transcript.pyannote[103].end 340.16346875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 341.17596875
transcript.pyannote[104].end 343.58909375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 343.80846875
transcript.pyannote[105].end 344.60159375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 344.92221875
transcript.pyannote[106].end 348.02721875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 348.22971875
transcript.pyannote[107].end 351.33471875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 351.60471875
transcript.pyannote[108].end 371.88846875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 372.66471875
transcript.pyannote[109].end 381.72659375
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 381.62534375
transcript.pyannote[110].end 382.43534375
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 383.17784375
transcript.pyannote[111].end 384.94971875
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 385.37159375
transcript.pyannote[112].end 387.41346875
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 387.85221875
transcript.pyannote[113].end 390.70409375
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 391.02471875
transcript.pyannote[114].end 392.15534375
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 392.30721875
transcript.pyannote[115].end 397.15034375
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 397.28534375
transcript.pyannote[116].end 399.04034375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 398.82096875
transcript.pyannote[117].end 400.84596875
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 400.62659375
transcript.pyannote[118].end 403.00596875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 402.44909375
transcript.pyannote[119].end 437.61659375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 416.75909375
transcript.pyannote[120].end 417.41721875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 424.84221875
transcript.pyannote[121].end 425.41596875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 425.53409375
transcript.pyannote[122].end 426.05721875
transcript.pyannote[123].speaker SPEAKER_05
transcript.pyannote[123].start 431.84534375
transcript.pyannote[123].end 433.46534375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 437.85284375
transcript.pyannote[124].end 438.25784375
transcript.pyannote[125].speaker SPEAKER_05
transcript.pyannote[125].start 438.00471875
transcript.pyannote[125].end 446.13846875
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 446.34096875
transcript.pyannote[126].end 446.37471875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 446.37471875
transcript.pyannote[127].end 448.33221875
transcript.pyannote[128].speaker SPEAKER_05
transcript.pyannote[128].start 446.42534375
transcript.pyannote[128].end 447.75846875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 450.45846875
transcript.pyannote[129].end 452.34846875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 453.20909375
transcript.pyannote[130].end 460.60034375
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 461.00534375
transcript.pyannote[131].end 463.68846875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 465.22409375
transcript.pyannote[132].end 466.74284375
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 467.51909375
transcript.pyannote[133].end 467.53596875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 467.53596875
transcript.pyannote[134].end 475.72034375
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 468.54846875
transcript.pyannote[135].end 469.64534375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 472.88534375
transcript.pyannote[136].end 474.48846875
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 475.23096875
transcript.pyannote[137].end 480.25971875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 480.17534375
transcript.pyannote[138].end 488.19096875
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 480.37784375
transcript.pyannote[139].end 480.39471875
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 482.20034375
transcript.pyannote[140].end 483.16221875
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 488.49471875
transcript.pyannote[141].end 496.74659375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 497.28659375
transcript.pyannote[142].end 501.33659375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 501.65721875
transcript.pyannote[143].end 502.09596875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 502.60221875
transcript.pyannote[144].end 506.97284375
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 506.97284375
transcript.pyannote[145].end 507.02346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 507.02346875
transcript.pyannote[146].end 507.10784375
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 507.10784375
transcript.pyannote[147].end 507.14159375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 507.14159375
transcript.pyannote[148].end 507.20909375
transcript.pyannote[149].speaker SPEAKER_04
transcript.pyannote[149].start 507.20909375
transcript.pyannote[149].end 507.24284375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 507.24284375
transcript.pyannote[150].end 507.61409375
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 507.61409375
transcript.pyannote[151].end 516.87846875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 515.88284375
transcript.pyannote[152].end 516.38909375
transcript.pyannote[153].speaker SPEAKER_04
transcript.pyannote[153].start 517.21596875
transcript.pyannote[153].end 521.31659375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 521.14784375
transcript.pyannote[154].end 534.07409375
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 529.38284375
transcript.pyannote[155].end 529.87221875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 534.32721875
transcript.pyannote[156].end 534.76596875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 534.86721875
transcript.pyannote[157].end 539.30534375
transcript.pyannote[158].speaker SPEAKER_04
transcript.pyannote[158].start 539.98034375
transcript.pyannote[158].end 542.32596875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 541.95471875
transcript.pyannote[159].end 543.08534375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 543.35534375
transcript.pyannote[160].end 544.43534375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 545.73471875
transcript.pyannote[161].end 546.69659375
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 547.15221875
transcript.pyannote[162].end 547.60784375
transcript.pyannote[163].speaker SPEAKER_05
transcript.pyannote[163].start 548.28284375
transcript.pyannote[163].end 550.17284375
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 550.52721875
transcript.pyannote[164].end 552.75471875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 553.04159375
transcript.pyannote[165].end 556.34909375
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 556.60221875
transcript.pyannote[166].end 564.22971875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 558.72846875
transcript.pyannote[167].end 562.22159375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 562.67721875
transcript.pyannote[168].end 569.25846875
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 564.29721875
transcript.pyannote[169].end 565.17471875
transcript.pyannote[170].speaker SPEAKER_05
transcript.pyannote[170].start 569.25846875
transcript.pyannote[170].end 569.61284375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 569.61284375
transcript.pyannote[171].end 586.70721875
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 571.03034375
transcript.pyannote[172].end 571.43534375
transcript.pyannote[173].speaker SPEAKER_05
transcript.pyannote[173].start 575.45159375
transcript.pyannote[173].end 577.76346875
transcript.pyannote[174].speaker SPEAKER_05
transcript.pyannote[174].start 579.68721875
transcript.pyannote[174].end 580.00784375
transcript.pyannote[175].speaker SPEAKER_05
transcript.pyannote[175].start 585.99846875
transcript.pyannote[175].end 591.14534375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 590.26784375
transcript.pyannote[176].end 600.17346875
transcript.pyannote[177].speaker SPEAKER_05
transcript.pyannote[177].start 601.75971875
transcript.pyannote[177].end 602.19846875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 602.19846875
transcript.pyannote[178].end 602.26596875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 604.96596875
transcript.pyannote[179].end 620.08596875
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 611.31096875
transcript.pyannote[180].end 611.36159375
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 611.36159375
transcript.pyannote[181].end 611.58096875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 611.58096875
transcript.pyannote[182].end 611.61471875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 620.13659375
transcript.pyannote[183].end 627.51096875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 627.56159375
transcript.pyannote[184].end 636.50534375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 636.57284375
transcript.pyannote[185].end 639.82971875
transcript.whisperx[0].start 5.265
transcript.whisperx[0].end 14.688
transcript.whisperx[0].text 謝謝主席我們農業部房檢署杜署長官務署彭署長還有海委會管組委好請移上官員列席大家都辛苦委員好來我先問一下杜署長杜署長你今天好像很可憐喔這個要講一講公道話希望大家共同面對
transcript.whisperx[1].start 32.95
transcript.whisperx[1].end 60.948
transcript.whisperx[1].text 防疫的重大挑戰結果好像不分朝野都要砲轟你一下對不對這個我希望你一本初衷啦其實你第一個回答書下會委員質疑回答本來就很好嘛就四平八穩的講大家都有一定的工作跟分工那大家都很努力那這是中央地方共同的責任剛剛很多民進黨的委員都提說這個是甚至都要逼你講出就是台中市政府防疫不力那這都很正常 政治口水嘛但是我要問的是非洲豬瘟它會平白無故在台灣境內產生嗎
transcript.whisperx[2].start 62.813
transcript.whisperx[2].end 80.913
transcript.whisperx[2].text 不會嘛 他一定是境外移入那以署長的了解 境外移入有哪幾種渠道就是他怎麼進來的我們也有在研析過 當然從他的管道上來講當然機場會是一個 港口也是一個那包括到說 我們現在的
transcript.whisperx[3].start 82.148
transcript.whisperx[3].end 106.382
transcript.whisperx[3].text 移工 外勞那這些等等還有產品署長你聽一聽第一個叫旅客夾帶就不管是坐船的坐飛機的等等偷偷帶進來的嘛叫旅客夾帶第二個就是所謂的走私嘛這漁船的走私有的沒的夾也是一種夾帶的行為但它量比較大對不對 也是一種走私第三種叫郵寄嘛對不對 大概就是這三種有沒有脫離這三種的範疇
transcript.whisperx[4].start 109.31
transcript.whisperx[4].end 128.983
transcript.whisperx[4].text 大體上應該不拖這樣的範疇如果有你可以補充沒有關係那我剛剛也聽了很多委員在問包含馬市長講旅客夾帶我想我們自己有時候常出國回來這該到位的也都有到位啦我們該查都有查都有過X光機這我想大家都有經驗所以我今天的重點不是談旅客夾帶我請教一下館主委
transcript.whisperx[5].start 129.997
transcript.whisperx[5].end 146.242
transcript.whisperx[5].text 你剛剛講的都問到你的時候你都講海漂豬你們一定檢驗我想這個很OK嘛大家都希望從嚴處理因為那個死在那個地方你當然要檢驗嘛對不對但問題是海巡的另外一個重要的任務也是查其走私嘛那最近這段時間有沒有查其到豬肉走私的狀況有沒有一些數據可以跟大家報告一下呢
transcript.whisperx[6].start 147.284
transcript.whisperx[6].end 168.731
transcript.whisperx[6].text 農漁產品比較多大概4萬多公斤的農漁產品的走私我們今天就討論豬肉而已豬肉的部分我們沒有4萬多公噸的農漁產品然後沒有查到任何的豬肉公斤不好意思公斤修正一下但沒有查到走私的豬肉我們過去曾經有查到的是譬如說毛肚
transcript.whisperx[7].start 169.151
transcript.whisperx[7].end 185.922
transcript.whisperx[7].text 整船整船的忙碌我只問主委一個牛肉的製品是比較多尤其是牛雜你們都已經盡了最大的努力我不會否定海軍同仁的辛苦但是主委你可以掛保證說這就是全部的走私了嗎
transcript.whisperx[8].start 187.054
transcript.whisperx[8].end 205.031
transcript.whisperx[8].text 委員這個問題其實大家都知道答案我們盡全力你全力以赴但是再怎麼樣防堵都不可能因為這東西實在是太你不可能所有的人通通一天到晚把我想每一個管道的問題是一樣每一個管道的問題是一樣我們現在要聽的就是實話嘛好不好這我們希望海運署就加強把控啦尤其是針對這種可疑豬肉的這個是最上游
transcript.whisperx[9].start 210.055
transcript.whisperx[9].end 238.225
transcript.whisperx[9].text 那基本上管制到豬場的那個部分的管理恐怕也是最關鍵但是我們每個層面我們都盡全力把它做到最好各自其職你就收好你的海上避免走私豬肉這本期要做一下提醒好我們再回到杜署長第三個然後有關務署一起好不好這也是本期今天要特別去提醒的其實就是郵寄嘛這一段時間我們都委員講說要禁止淘寶或什麼東西這個我們從什麼時候開始就禁止了這個中國大陸地區的豬肉製品輸入台灣107年
transcript.whisperx[10].start 240.086
transcript.whisperx[10].end 248.302
transcript.whisperx[10].text 107年嘛對不對這其實很清楚嘛那這個署長跟我們分享一下為什麼違規輸入啊就郵寄入境跟旅客夾帶的罰則分別是什麼
transcript.whisperx[11].start 250.389
transcript.whisperx[11].end 273.265
transcript.whisperx[11].text 目前我們只要是有豬肉的製品一定是20萬起跳20萬起跳 這叫夾帶入境嘛就機場沒看那宣導影片也拍很多是不是講說只要豬肉被抓到至少罰20萬最高罰100萬嘛對不對 這叫夾帶入境好 郵寄入境的罰則是什麼郵寄入境的部分也是一樣對 只要豬肉產品也都是20萬起跳一定會罰嗎真的 因為這個也牽扯到說
transcript.whisperx[12].start 279.704
transcript.whisperx[12].end 289.134
transcript.whisperx[12].text 整個追查的部分是有比較困難比較困難的地方在哪裡 來我今天就要問這個今天我們要談制度補破網我今天就這一件事而已
transcript.whisperx[13].start 291.314
transcript.whisperx[13].end 317.852
transcript.whisperx[13].text 是 跟委員報告因為這個郵包的部分他這個寄進來的人跟實際上收貨的人其實在全球都是一樣 常常是對不起來的所以我們行政調查的案件到最後會承擔到裁罰的案件其實相對的是比較少的好 講得真好這個郵遞寄送的輸入狀況從有非洲族恩到現在由你頒布重罰的條款到現在你抓到多少案子 裁罰了多少人有沒有數據做一下整理
transcript.whisperx[14].start 322.102
transcript.whisperx[14].end 347.603
transcript.whisperx[14].text 是 郭委員報告齁這個郵包的部分我們攔截到就是一隻豬肉產品然後被我們攔下來的被海關攔下來移送到房間數的大約有1000案但到最後成功裁罰的只有9個就是9個案件人1000個案子裡面只有9個案子被裁罰很好 這就是我今天重點來脫影片秀出來這個動物傳染病防治條例是法律的層級但是裁罰基準應該是行政命令如果本席沒有了解錯誤
transcript.whisperx[15].start 348.379
transcript.whisperx[15].end 371.298
transcript.whisperx[15].text 現在狀況是這樣旅客夾帶進來至少罰20萬但是問題是你郵寄寄送書我們先不要講說你追溯溯源很難罰你竟然還有後門條款這個第四點你看看頭裡面這樣違反本公告者由輸出入動物檢疫機關一動物傳染病防治條例四三條第八款規定採取收件人但收件人非輸入人或首次輸入非故意者不予處罰
transcript.whisperx[16].start 372.671
transcript.whisperx[16].end 374.632
transcript.whisperx[16].text 報告委員物跟人要分開處理物一千件全部燒毀
transcript.whisperx[17].start 387.935
transcript.whisperx[17].end 391.659
transcript.whisperx[17].text 人的處罰因為還是要有事證可以追查得到所以這個地方是有他的困難度但物是全部都燒毀那當然你物本來就都要燒毀嘛所以沒有一件事流入但是問題是這樣嘛我們為什麼要罰比如夾帶入侵要罰20萬其實叫嚇阻嘛
transcript.whisperx[18].start 407.814
transcript.whisperx[18].end 434.932
transcript.whisperx[18].text 也就是說我不要讓這些人起心動念說我想要幹這個事情嘛那同樣今天一樣物物當然抓到就沒收嘛任何夾帶走私抓到反而就要沒收反而銷毀對不對那你如果不重罰你不加大裁罰力道然後讓裁罰的執行性可以增加的話那不是大家還是會想說我試一下嗎反正了不起要嘛他抓不到我他抓到我他也不見得證明我可以故意所以我就記吧那是不是包裹就多了包裹多了你邊境檢驗查核的壓力就大了嘛
transcript.whisperx[19].start 438.214
transcript.whisperx[19].end 448.276
transcript.whisperx[19].text 我們現在就針對委員所講國際郵包或者是快遞這個部分那也是關務署在檢視整個系統從登記來來來 關務署你贊不贊成把這個條款廢掉其實就這個問題嘛我們今天在思考制度上要什麼補破網要加大裁判力道要把它變嚴格其實就這個問題你覺得應該把它廢掉報告委員這不是我們關務署的權責廢掉對你們有沒有幫助嘛
transcript.whisperx[20].start 467.811
transcript.whisperx[20].end 496.429
transcript.whisperx[20].text 我們都是遵守你們裡面內部因為都不是你們的權責你們也不會討論這個事所以要到立法院討論嘛對不對你們都在的時候我們當場講一講對不對跟委員包括我們在郵包那邊喔今年都已經查獲到286件了是嘛還是很多對不對那如果廢掉然後變成說我只要一抓到相對來講我比較容易裁罰成功會不會有一點嚇阻效果當然重罰齁有嚇阻的效果啦但是就是說重罰你還是要有證據證明說他是故意走私這樣的一個行為
transcript.whisperx[21].start 497.352
transcript.whisperx[21].end 516.251
transcript.whisperx[21].text 不是我現在這樣講非故意拿掉我不管你故不故意啊你只要進來我就是罰嘛對不對你現在就說因為我還我多一關要證明你是故意還是非故意我就更難罰嘛我現在把這條款拿掉錢包的部分喔剛剛提到的就是說常常這個收件人並不知道寄件人為什麼會寄給他他可能都不知道所以要罰到
transcript.whisperx[22].start 517.73
transcript.whisperx[22].end 542.142
transcript.whisperx[22].text 這個收件人是有他的困難因為他可能是無故意或過失署長我就只問你把這個標準往上提讓他變嚴格即便很有可能啊會造成另外一波有一些人會認為自己被錯殺對不對是但是我們在防疫的時候現在大家都在討論要不要再把破網補起來嗎是這樣子對你降低你邊境的檢驗的那個壓力有沒有幫助嗎任何的重罰對我們都有幫助很好謝謝來這個農業部要不要考慮把它廢除
transcript.whisperx[23].start 548.414
transcript.whisperx[23].end 562.045
transcript.whisperx[23].text 我想這個有不足的地方或者是應該修法的地方這個我們會著手來處理但我在這裡還是要說明說這一千的違規的物品都銷毀了我知道我知道但我現在想是源頭嘛對人的處罰你現在對人不管他是夾帶還是他是郵寄都應該想辦法讓他很容易被罰
transcript.whisperx[24].start 569.811
transcript.whisperx[24].end 584.918
transcript.whisperx[24].text 這樣我們才能盡量賭嘛剛剛管主委講我是很同意啊再怎麼樣嚴格都不見得百分之百但越嚴格效果總是越好好不好所以你願不願意在這邊我們就當場承受至少我們今天諮詢有個進展嘛就是說我把這個還給開一個非故意的這個橋門我現在把它拿掉
transcript.whisperx[25].start 585.618
transcript.whisperx[25].end 598.774
transcript.whisperx[25].text 好不好 農業部要不要答應我們來跟相關單位我們就針對這個修法的途徑上來這個應該不用修了你們內部行政命令把程序走完其實就好了會比立法院修法快得多好不好這個你三天之內要給我們一個答覆可以嗎我們要希望討論制度補破網啦 好不好
transcript.whisperx[26].start 612.561
transcript.whisperx[26].end 627.354
transcript.whisperx[26].text 除了这个自己故意寄给自己然后被我们采发以外还有另外一种样态就是说这个邮包他不知道是谁的然后他接到这个包裹了他发现是简易物他也必须要交给我们如果没有交出来的话也有罚则是3到15万所以这两种样态都有对应的罚则了
transcript.whisperx[27].start 627.634
transcript.whisperx[27].end 639.368
transcript.whisperx[27].text 沒關係 你三天之內把這個法規做檢討但我現在告訴你就有一個狀況而且你的績效就是一千件只能罰九件啦這件事情你們要思考一下怎麼樣提高他的效能啦這是本期今天質詢的重點希望大家好好思考 大家一起加油 謝謝