iVOD / 165192

Field Value
IVOD_ID 165192
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165192
日期 2025-11-07
會議資料.會議代碼 院會-11-4-8
會議資料.會議代碼:str 第11屆第4會期第8次會議
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 院會
會議資料.標題 第11屆第4會期第8次會議
影片種類 Clip
開始時間 2025-11-07T16:18:24+08:00
結束時間 2025-11-07T16:31:46+08:00
影片長度 00:13:22
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/7b2debd084f055f0f52db03ab255dcddda8d1794993bca4437c4dc073b7ad87311b1cec9fb31ec975ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴惠員
委員發言時間 16:18:24 - 16:31:46
會議時間 2025-11-07T09:00:00+08:00
會議名稱 第11屆第4會期第8次會議(事由:一、同意權之行使事項:本院交通、教育及文化兩委員會報告審查行政院函送國家通訊傳播委員會委員提名名單,蔣榮先為委員並為主任委員,程明修為委員並為副主任委員,黃葳威及羅慧雯均為委員,請同意案。(11月7日上午報告事項後)二、對行政院院長施政報告繼續質詢。(11月7日下午及11日)三、11月7日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.80284375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 8.62034375
transcript.pyannote[1].end 12.46784375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 12.70409375
transcript.pyannote[2].end 14.94846875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 23.79096875
transcript.pyannote[3].end 24.39846875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 24.49971875
transcript.pyannote[4].end 25.39409375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 26.55846875
transcript.pyannote[5].end 36.91971875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 26.67659375
transcript.pyannote[6].end 27.33471875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 37.08846875
transcript.pyannote[7].end 41.61096875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 41.83034375
transcript.pyannote[8].end 52.46159375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 52.84971875
transcript.pyannote[9].end 62.29971875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 62.53596875
transcript.pyannote[10].end 63.12659375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 63.49784375
transcript.pyannote[11].end 68.84721875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 69.42096875
transcript.pyannote[12].end 85.01346875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 85.50284375
transcript.pyannote[13].end 91.89846875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 92.20221875
transcript.pyannote[14].end 95.74596875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 96.11721875
transcript.pyannote[15].end 97.14659375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 97.61909375
transcript.pyannote[16].end 99.55971875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 100.58909375
transcript.pyannote[17].end 102.68159375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 103.30596875
transcript.pyannote[18].end 105.14534375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 105.55034375
transcript.pyannote[19].end 108.18284375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 108.70596875
transcript.pyannote[20].end 109.60034375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 109.85346875
transcript.pyannote[21].end 112.06409375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 112.26659375
transcript.pyannote[22].end 113.09346875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 113.51534375
transcript.pyannote[23].end 114.42659375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 114.98346875
transcript.pyannote[24].end 127.09971875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 116.90721875
transcript.pyannote[25].end 117.70034375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 120.78846875
transcript.pyannote[26].end 122.27346875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 127.33596875
transcript.pyannote[27].end 127.99409375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 128.36534375
transcript.pyannote[28].end 130.93034375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 130.99784375
transcript.pyannote[29].end 133.74846875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 134.01846875
transcript.pyannote[30].end 138.57471875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 138.99659375
transcript.pyannote[31].end 142.97909375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 143.38409375
transcript.pyannote[32].end 143.75534375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 144.16034375
transcript.pyannote[33].end 144.54846875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 144.68346875
transcript.pyannote[34].end 146.53971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 146.97846875
transcript.pyannote[35].end 152.56409375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 152.71596875
transcript.pyannote[36].end 159.71909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 160.36034375
transcript.pyannote[37].end 165.28784375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 163.33034375
transcript.pyannote[38].end 163.81971875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 164.20784375
transcript.pyannote[39].end 166.31721875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 165.67596875
transcript.pyannote[40].end 167.98784375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 168.35909375
transcript.pyannote[41].end 177.08346875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 177.31971875
transcript.pyannote[42].end 179.69909375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 179.83409375
transcript.pyannote[43].end 182.93909375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 183.12471875
transcript.pyannote[44].end 186.04409375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 185.11596875
transcript.pyannote[45].end 185.43659375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 185.99346875
transcript.pyannote[46].end 209.14596875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 209.48346875
transcript.pyannote[47].end 218.71409375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 219.11909375
transcript.pyannote[48].end 228.95721875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 229.29471875
transcript.pyannote[49].end 229.73346875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 230.10471875
transcript.pyannote[50].end 231.52221875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 231.62346875
transcript.pyannote[51].end 233.17596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 234.30659375
transcript.pyannote[52].end 237.19221875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 237.47909375
transcript.pyannote[53].end 238.81221875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 239.26784375
transcript.pyannote[54].end 241.90034375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 242.11971875
transcript.pyannote[55].end 245.12346875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 244.73534375
transcript.pyannote[56].end 258.06659375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 258.26909375
transcript.pyannote[57].end 264.54659375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 264.02346875
transcript.pyannote[58].end 265.74471875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 264.83346875
transcript.pyannote[59].end 265.49159375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 265.87971875
transcript.pyannote[60].end 276.57846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 276.91596875
transcript.pyannote[61].end 277.92846875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 278.24909375
transcript.pyannote[62].end 288.72846875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 283.27784375
transcript.pyannote[63].end 284.20596875
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 288.49221875
transcript.pyannote[64].end 288.66096875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 288.72846875
transcript.pyannote[65].end 288.82971875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 289.03221875
transcript.pyannote[66].end 293.35221875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 292.64346875
transcript.pyannote[67].end 303.46034375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 294.06096875
transcript.pyannote[68].end 294.49971875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 302.22846875
transcript.pyannote[69].end 311.02034375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 311.02034375
transcript.pyannote[70].end 312.01596875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 311.03721875
transcript.pyannote[71].end 311.05409375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 312.75846875
transcript.pyannote[72].end 313.24784375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 312.82596875
transcript.pyannote[73].end 345.76596875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 313.39971875
transcript.pyannote[74].end 316.18409375
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 322.81596875
transcript.pyannote[75].end 323.91284375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 323.91284375
transcript.pyannote[76].end 324.30096875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 345.66471875
transcript.pyannote[77].end 348.04409375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 346.45784375
transcript.pyannote[78].end 346.60971875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 346.91346875
transcript.pyannote[79].end 351.46971875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 352.06034375
transcript.pyannote[80].end 353.49471875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 353.78159375
transcript.pyannote[81].end 356.17784375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 353.83221875
transcript.pyannote[82].end 361.86471875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 362.33721875
transcript.pyannote[83].end 362.94471875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 363.28221875
transcript.pyannote[84].end 366.58971875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 366.82596875
transcript.pyannote[85].end 371.36534375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 371.71971875
transcript.pyannote[86].end 374.50409375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 374.75721875
transcript.pyannote[87].end 379.36409375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 379.61721875
transcript.pyannote[88].end 385.69221875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 384.39284375
transcript.pyannote[89].end 385.01721875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 385.97909375
transcript.pyannote[90].end 395.02409375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 395.44596875
transcript.pyannote[91].end 397.48784375
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 396.91409375
transcript.pyannote[92].end 398.41596875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 397.55534375
transcript.pyannote[93].end 407.46096875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 406.80284375
transcript.pyannote[94].end 413.83971875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 407.86596875
transcript.pyannote[95].end 407.88284375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 407.89971875
transcript.pyannote[96].end 408.40596875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 414.02534375
transcript.pyannote[97].end 416.84346875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 417.07971875
transcript.pyannote[98].end 417.40034375
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 417.77159375
transcript.pyannote[99].end 427.42409375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 425.55096875
transcript.pyannote[100].end 429.87096875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 430.07346875
transcript.pyannote[101].end 431.35596875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 431.03534375
transcript.pyannote[102].end 431.44034375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 431.62596875
transcript.pyannote[103].end 433.98846875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 433.83659375
transcript.pyannote[104].end 448.11284375
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 436.57034375
transcript.pyannote[105].end 437.54909375
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 446.35784375
transcript.pyannote[106].end 452.68596875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 451.42034375
transcript.pyannote[107].end 454.47471875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 454.47471875
transcript.pyannote[108].end 455.28471875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 455.28471875
transcript.pyannote[109].end 464.92034375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 456.22971875
transcript.pyannote[110].end 456.60096875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 457.47846875
transcript.pyannote[111].end 459.03096875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 461.61284375
transcript.pyannote[112].end 461.88284375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 465.40971875
transcript.pyannote[113].end 467.89034375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 465.46034375
transcript.pyannote[114].end 480.95159375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 479.65221875
transcript.pyannote[115].end 483.87096875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 484.19159375
transcript.pyannote[116].end 490.87409375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 488.25846875
transcript.pyannote[117].end 488.83221875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 491.44784375
transcript.pyannote[118].end 492.05534375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 492.05534375
transcript.pyannote[119].end 492.29159375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 493.67534375
transcript.pyannote[120].end 497.86034375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 494.73846875
transcript.pyannote[121].end 496.62846875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 496.99971875
transcript.pyannote[122].end 502.43346875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 500.89784375
transcript.pyannote[123].end 510.04409375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 510.44909375
transcript.pyannote[124].end 512.22096875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 510.85409375
transcript.pyannote[125].end 511.25909375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 512.15346875
transcript.pyannote[126].end 513.30096875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 512.72721875
transcript.pyannote[127].end 526.05846875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 516.67596875
transcript.pyannote[128].end 517.06409375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 526.05846875
transcript.pyannote[129].end 539.52471875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 539.92971875
transcript.pyannote[130].end 540.92534375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 540.09846875
transcript.pyannote[131].end 541.83659375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 542.02221875
transcript.pyannote[132].end 543.91221875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 543.70971875
transcript.pyannote[133].end 581.12159375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 581.37471875
transcript.pyannote[134].end 591.76971875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 590.85846875
transcript.pyannote[135].end 596.71409375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 594.80721875
transcript.pyannote[136].end 595.26284375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 596.56221875
transcript.pyannote[137].end 596.84909375
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 596.79846875
transcript.pyannote[138].end 602.04659375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 600.54471875
transcript.pyannote[139].end 603.37971875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 603.37971875
transcript.pyannote[140].end 603.76784375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 603.76784375
transcript.pyannote[141].end 624.35534375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 624.67596875
transcript.pyannote[142].end 632.55659375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 633.01221875
transcript.pyannote[143].end 641.36534375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 637.39971875
transcript.pyannote[144].end 637.95659375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 641.58471875
transcript.pyannote[145].end 642.69846875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 643.05284375
transcript.pyannote[146].end 646.54596875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 646.74846875
transcript.pyannote[147].end 650.15721875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 649.95471875
transcript.pyannote[148].end 669.42846875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 669.66471875
transcript.pyannote[149].end 692.64846875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 690.77534375
transcript.pyannote[150].end 692.04096875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 692.34471875
transcript.pyannote[151].end 696.27659375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 696.52971875
transcript.pyannote[152].end 697.60971875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 697.82909375
transcript.pyannote[153].end 698.18346875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 698.53784375
transcript.pyannote[154].end 701.10284375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 701.25471875
transcript.pyannote[155].end 701.62596875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 701.62596875
transcript.pyannote[156].end 703.88721875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 703.88721875
transcript.pyannote[157].end 704.27534375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 704.27534375
transcript.pyannote[158].end 706.70534375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 707.32971875
transcript.pyannote[159].end 708.62909375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 709.45596875
transcript.pyannote[160].end 713.32034375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 713.75909375
transcript.pyannote[161].end 717.25221875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 717.43784375
transcript.pyannote[162].end 718.99034375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 719.39534375
transcript.pyannote[163].end 720.82971875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 721.03221875
transcript.pyannote[164].end 723.37784375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 723.66471875
transcript.pyannote[165].end 726.07784375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 726.34784375
transcript.pyannote[166].end 732.15284375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 732.70971875
transcript.pyannote[167].end 733.18221875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 733.78971875
transcript.pyannote[168].end 742.21034375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 742.24409375
transcript.pyannote[169].end 749.43284375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 752.70659375
transcript.pyannote[170].end 756.84096875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 756.97596875
transcript.pyannote[171].end 757.02659375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 757.14471875
transcript.pyannote[172].end 760.01346875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 764.09721875
transcript.pyannote[173].end 769.17659375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 769.96971875
transcript.pyannote[174].end 783.97596875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 784.16159375
transcript.pyannote[175].end 785.61284375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 786.00096875
transcript.pyannote[176].end 791.73846875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 792.04221875
transcript.pyannote[177].end 792.93659375
transcript.whisperx[0].start 0.089
transcript.whisperx[0].end 10.591
transcript.whisperx[0].text 代會委員請質詢謝謝主席有請那個院長還有農業部部長再請卓院長農業部長備詢代委員好是 院長
transcript.whisperx[1].start 26.584
transcript.whisperx[1].end 40.218
transcript.whisperx[1].text 縣長 非常感謝10月28日宣布在丹納斯颱風所有的災民加碼兩萬塊的一個決定這個對台南鄉親來講是及時宜比這個一萬塊
transcript.whisperx[2].start 41.94
transcript.whisperx[2].end 55.209
transcript.whisperx[2].text 那個就是普發現金的一萬塊對我們來講更有效可是在這裡要跟院長做一個探討就是說在台南市造冊的這些災民那我們造冊的大概有46801那這個煤河就是屋頂
transcript.whisperx[3].start 60.872
transcript.whisperx[3].end 77.297
transcript.whisperx[3].text 已經透過我們中央的一個協助修繕完成了大概已經有1022那剩下的這些鄉親他可能存在的一些年紀比較大的他不會上網的
transcript.whisperx[4].start 77.857
transcript.whisperx[4].end 93.646
transcript.whisperx[4].text 還有就是說在修繕的這段時間他非常的一個忙碌所以他沒有辦法去區公所登記的這些人有沒有機會就是說可以協助這個讓他們這個兩萬塊讓他們是在這個造冊的名單裡面謝謝文官心這個方式的對象
transcript.whisperx[5].start 100.632
transcript.whisperx[5].end 127.619
transcript.whisperx[5].text 是對於那些自行修繕者他如果當時已經經過政府跟他們的媒合有幫他修繕了或者是經過這些社會的一些公益團體有去任養的或是像政府已經全額幫他完成修繕了這個要先排除在外因為我們已經進到了幫他總整家園那其他自己修繕了也許他已經修繕也許他沒有修繕我們認為在這個時候也因為
transcript.whisperx[6].start 128.499
transcript.whisperx[6].end 143.573
transcript.whisperx[6].text 社會各界的善款我們累積起來怎麼去處理還有應該把它盡快的把它善款發放所以我們有這樣的2萬塊對這些自行修善的受災的居民再給他多一點點的重整家園的補助
transcript.whisperx[7].start 144.796
transcript.whisperx[7].end 158.869
transcript.whisperx[7].text 所以院長我現在講說撇除這些人以外就是說還有其實還存在的一些就是災民這些人有沒有機會就是說他重新再到區公所登記然後我們也是補他兩萬塊呢
transcript.whisperx[8].start 161.051
transcript.whisperx[8].end 185.932
transcript.whisperx[8].text 剛剛講的那一段是因為他已經有登記在案所以我們就直接入他的帳那其他的部分到底是什麼樣態地方政府應該有一個整理到底是什麼樣態當初如果是面積比較小的地方政府也補了一部分後來我們也加了那還有些什麼樣但是當初沒有登記的這個我沒有辦法在這裡做了解委員可以提供我們可以進一步去了解跟地方政府來做整理
transcript.whisperx[9].start 186.052
transcript.whisperx[9].end 202.625
transcript.whisperx[9].text 那我把這個資料給院長那就是說我們希望就是說這一個補助這個補助就是我們希望不是說有人領到而已我們是希望所有受災的人都可以領到這個另外的這個兩萬塊那事後我把這個資料
transcript.whisperx[10].start 203.585
transcript.whisperx[10].end 233.025
transcript.whisperx[10].text 那個再給院長再來就是說也謝謝跟部長跟那個部長感謝這個在這一次的揮州豬瘟那個事實上就是說在整個重塑重塑這個15天的一個封堵那事實上今天已經開始了就是這個屠宰那也恢復了這個拍賣那顯然今天的價錢看起來部長好像還不錯你有把它撐住了
transcript.whisperx[11].start 234.646
transcript.whisperx[11].end 255.964
transcript.whisperx[11].text 我剛剛還第一次看到委員最近以來的第一次面帶一點微笑面帶一點輕鬆的微笑我剛剛還謝謝部長的辛苦事實上我們也非常非常的害怕我跟委員報告就是到了4點半左右的時候現在整個租價最高到112然後有單資的到118、120那不要講那大概平均大概將近101左右
transcript.whisperx[12].start 258.825
transcript.whisperx[12].end 269.489
transcript.whisperx[12].text 在雲林它到了112可是在我們台南其實才90幾塊95、96可是普通現在最大的一個困難要跟你們探討的就是說你補助已經上來了顯然一隻豬它其實成本要7千塊這7千塊的時候你一隻補助
transcript.whisperx[13].start 282.053
transcript.whisperx[13].end 309.655
transcript.whisperx[13].text 一個是300塊810塊一個810塊有吃飯跟吃飼料這個是有一個差異性是好這個補助遠遠是不足的那你看我要跟委員報告我們是補助他這個15天的他不能他自留在豬場不能上市的這15天的一個飼料的一個費用當然你看嘛他一個他吃了一斤的飼料要18塊嘛所以你一隻豬每天就要多吃了500塊錢
transcript.whisperx[14].start 311.316
transcript.whisperx[14].end 317.98
transcript.whisperx[14].text 沒有啦 沒有那麼多啦沒有 我們會後再來討論我們會後再來討論一隻雞 現在養豬報告一隻雞都養了84公斤 85公斤好 這15天我們現在要來探討的就是說
transcript.whisperx[15].start 327.645
transcript.whisperx[15].end 345.882
transcript.whisperx[15].text 輔助這另外一個議題我們再討論那當然大家共體時間那問題就是說這個我們看到了農業部徐牧師提出來的一個資料就是從今天開始到明年的三月你每天要給台兩千隻三千 你要去化這39萬頭豬
transcript.whisperx[16].start 352.128
transcript.whisperx[16].end 374.122
transcript.whisperx[16].text 有沒有想到這些問題所以說這是豬肉比較擔心的我們現在滯留總共39萬隻35到39萬隻那我們現在正在統計我如果在非常短的時間是進不到市場的那進到市場的時候因為第一個屠宰量的問題每天的屠宰量我們必須考慮第二個每天的批發拍賣量我們要考慮
transcript.whisperx[17].start 375.022
transcript.whisperx[17].end 394.716
transcript.whisperx[17].text 第三個部分就是說當量太多的時候那個價格是撐不住的所以我們現在就是有一個有次序的一個把毛豬上市經過登記的方式你已經講到了這個問題萬一豬價崩盤的話如果你用這樣的一個消化方式的話其實是我們是擔心的
transcript.whisperx[18].start 395.529
transcript.whisperx[18].end 415.218
transcript.whisperx[18].text 你要殺豬 有這個豬 這個是冷凍豬的話有沒有地方放 當然是有地方放你不管是台塘還是各大的一個畜牧冷凍場我跟委員報告 就是說我們有一部分的豬是直接拉到屠宰場不經過批發的那過去是15% 我們會做一個調整
transcript.whisperx[19].start 417.82
transcript.whisperx[19].end 428.153
transcript.whisperx[19].text 我們要維持批發價的部分如果價格低到某個程度的時候我們會請冷凍這些廠商進來拉租所以我們會去撐住一些基本的價格你會出來復盤你今天有沒有復盤我們現在沒辦法說這個
transcript.whisperx[20].start 433.84
transcript.whisperx[20].end 454.819
transcript.whisperx[20].text 沒有 你一定要給我們一個底線大概在哪裡嗎就像說你會告訴我說我維持在90塊還是95塊左右還是95塊以下你總是要讓大家有一個心理準備我現在沒辦法講這個因為我們在做價格的監控的部分你現在沒有辦法講私底下可以不可以讓我知道也沒辦法
transcript.whisperx[21].start 455.379
transcript.whisperx[21].end 467.902
transcript.whisperx[21].text 也沒辦法那這樣子的話我們全部的一個計畫都是在沒有辦法掌控當中那萬一我們的租價崩盤的話怎麼辦呢這是憑國企方法我跟你們報告我跟你們報告我們每一天全國的國內有20個20個肉品市場
transcript.whisperx[22].start 474.364
transcript.whisperx[22].end 482.746
transcript.whisperx[22].text 那個拍賣價我們一直在監控那如果說有適當的相關的這些不正常的下跌的時候你要想想到39萬頭豬他這個你不殺他的話他會越吃越大這大隻的有兩種介紹
transcript.whisperx[23].start 494.698
transcript.whisperx[23].end 509.854
transcript.whisperx[23].text 就是載豬的話是不值錢未來幾個月他都有依靠標準的去化量現在就是在跟你探討這個去化量其實是被養豬協會存疑的我們擔心的
transcript.whisperx[24].start 510.575
transcript.whisperx[24].end 534.612
transcript.whisperx[24].text 院長我是收藝師所以我對這一個領域裡頭我多多少少有一些了解所以我擔心這39萬頭豬你用5個月來去化的話我跟你講這個市場會亂掉我跟委員報告我們這樣一個操作的方式是跟所有的養豬協會這邊來討論然後我們也跟冷凍工會來討論我們也跟肉品市場來討論每個禮拜都有一個供銷的調度會議
transcript.whisperx[25].start 540.214
transcript.whisperx[25].end 556.471
transcript.whisperx[25].text 所以會隨時調整嗎對 這個一定是滾動調整的我想這個滾動的調整可是我還是希望就是說這個租價可以維持在110 120因為你租期越大你不知道要怎麼樣你知道嗎這個是一個很嚴重的問題
transcript.whisperx[26].start 557.612
transcript.whisperx[26].end 580.565
transcript.whisperx[26].text 在這一次的災情我們看到另外一個問題就是說以我們台南來講的話我有60萬頭豬可是顯然就是說這種豬舍過於老舊開放式的豬舍太多了比例太多了所以就是說在這裡要跟院長跟部長拜託是不是有辦法啟動就是2021年開始你們有提出了一個
transcript.whisperx[27].start 582.766
transcript.whisperx[27].end 596.254
transcript.whisperx[27].text 計畫47億的一個水聯市互壓水聯市的這個計畫有辦法這個其實是做得很好了是不是再重新啟動我們也持續一直在輔導我們的養豬社去改進水聯市的這個部分
transcript.whisperx[28].start 597.054
transcript.whisperx[28].end 621.461
transcript.whisperx[28].text 那這個我想我們的計畫在未來幾年我們都會持續趁著這個重大的一個這個非洲豬瘟其實非洲豬瘟如果不是廚藝的養豬的話其實很難會去發生非洲豬瘟我想這個部長你來行你很了解那我們是不是要趁著這一個時候就是說我們把這一個廚藝的養豬做一個什麼樣的一個精進
transcript.whisperx[29].start 624.941
transcript.whisperx[29].end 649.846
transcript.whisperx[29].text 我跟你們報告 廚餘養豬的部分我們有短中長期的規劃短期之內要恢復的時候我們有一些前提包括這些監控的設備一定要及時而不是用上傳照片的中長期的部分我們就會考慮整體國內的這些廚餘怎麼樣再利用達到一個環境也比較穩定的情況所以短中長期我想我們隨時再滾動跟環境部再一起檢查
transcript.whisperx[30].start 650.026
transcript.whisperx[30].end 669.066
transcript.whisperx[30].text 好 院長 我想再一次就是說從這一次回收豬瘟到底這個豬瘟的病毒它是從哪邊來是境外的一個感染還是包裹還是移工現在我們顯然你們沒有給我們答案這個是我們一直迫切需要答案的那我也希望就是說
transcript.whisperx[31].start 669.827
transcript.whisperx[31].end 692.112
transcript.whisperx[31].text 可以因為台中是每一天每一天他給的給的這個記者會那還是說他所有的一個新聞稿我們看不到這一個答案所以我想在這裡也提醒部長還有就是在未來未來就是說第二次萬一有破口的話第二次我們怎麼樣去就是維持處理這個也是大家擔心的這次這個案例場跟關聯場的關係連結起來我們清楚的看到
transcript.whisperx[32].start 699.034
transcript.whisperx[32].end 708.33
transcript.whisperx[32].text 問題出在這個處於該徵組未徵組該查核未查核 該監控未查核所以一定要短期間內如果要有條件的恢復的話
transcript.whisperx[33].start 710.623
transcript.whisperx[33].end 730.704
transcript.whisperx[33].text 這個設備監控跟法規加嚴處罰這一定要完備再來我們現在內部就這個案例場已經控制在單一的案例場上面但是我們還要加強的是不會再有從邊境進來的所以明天我們會去看邊境的管理我希望從內而外把它再做安全的檢查一次只有更趨嚴絕對不會放鬆
transcript.whisperx[34].start 732.936
transcript.whisperx[34].end 749.487
transcript.whisperx[34].text 院長 我想這個整個養豬產業是關係到就是全台灣這個周邊的一個產業的兩千多億如果你還要讓廚藝這八趴的廚藝繼續就是說讓它變成是一個養豬的養豬每天達到三個條件而且地方政府要努力它才能夠維持但這幾天的豬的去化它會變成一個環境部很大的課程不會共同
transcript.whisperx[35].start 764.463
transcript.whisperx[35].end 792.809
transcript.whisperx[35].text 谢谢赖会员委员的咨询谢谢卓院长 农业部长 贝勋谢谢卓院会我们本日排定咨询的委员均已经咨询询答完毕非常谢谢卓院长及相关部会首长列席来答询也谢谢王洪威委员王振旭委员沈伯扬委员一起参与我们今天的咨询11月11号星期二上午9点我们继续开会进行经济组织咨询现在休息好 谢谢卓院长