iVOD / 162034

Field Value
IVOD_ID 162034
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162034
日期 2025-05-28
會議資料.會議代碼 委員會-11-3-19-15
會議資料.會議代碼:str 第11屆第3會期經濟委員會第15次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 15
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3會期經濟委員會第15次全體委員會議
影片種類 Clip
開始時間 2025-05-28T12:09:16+08:00
結束時間 2025-05-28T12:21:38+08:00
影片長度 00:12:22
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f24cd191806ec682c361b5ee1b3bf308d2ea3426710e0a50eed19376995a466ca645ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蔡易餘
委員發言時間 12:09:16 - 12:21:38
會議時間 2025-05-28T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第15次全體委員會議(事由:審查: 一、本院委員謝衣鳯等16人擬具「農民退休儲金條例第七條條文修正草案」案。 二、本院委員郭國文等17人擬具「農民退休儲金條例第七條條文修正草案」案。(詢答))
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 10.47659375
transcript.pyannote[0].end 13.68284375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 13.80096875
transcript.pyannote[1].end 14.34096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 21.56346875
transcript.pyannote[2].end 22.06971875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 22.50846875
transcript.pyannote[3].end 23.35221875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 23.97659375
transcript.pyannote[4].end 27.82409375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 28.19534375
transcript.pyannote[5].end 29.07284375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 29.49471875
transcript.pyannote[6].end 43.24784375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 43.82159375
transcript.pyannote[7].end 45.05346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 45.50909375
transcript.pyannote[8].end 48.58034375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 48.91784375
transcript.pyannote[9].end 50.63909375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 51.11159375
transcript.pyannote[10].end 55.36409375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 55.85346875
transcript.pyannote[11].end 59.26221875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 59.90346875
transcript.pyannote[12].end 65.13471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 65.23596875
transcript.pyannote[13].end 97.93971875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 67.26096875
transcript.pyannote[14].end 67.36221875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 97.95659375
transcript.pyannote[15].end 97.99034375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 98.09159375
transcript.pyannote[16].end 102.10784375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 102.22596875
transcript.pyannote[17].end 106.34346875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 106.84971875
transcript.pyannote[18].end 116.43471875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 117.14346875
transcript.pyannote[19].end 118.54409375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 119.33721875
transcript.pyannote[20].end 121.53096875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 122.35784375
transcript.pyannote[21].end 124.41659375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 125.14221875
transcript.pyannote[22].end 130.42409375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 130.99784375
transcript.pyannote[23].end 132.58409375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 133.30971875
transcript.pyannote[24].end 137.22471875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 137.30909375
transcript.pyannote[25].end 139.57034375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 139.73909375
transcript.pyannote[26].end 143.97471875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 144.22784375
transcript.pyannote[27].end 144.56534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 145.03784375
transcript.pyannote[28].end 150.25221875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 150.82596875
transcript.pyannote[29].end 151.63596875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 152.22659375
transcript.pyannote[30].end 153.28971875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 154.21784375
transcript.pyannote[31].end 154.75784375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 155.29784375
transcript.pyannote[32].end 157.17096875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 157.52534375
transcript.pyannote[33].end 158.90909375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 159.61784375
transcript.pyannote[34].end 160.17471875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 161.05221875
transcript.pyannote[35].end 162.08159375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 162.36846875
transcript.pyannote[36].end 175.51409375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 175.96971875
transcript.pyannote[37].end 177.82596875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 178.28159375
transcript.pyannote[38].end 179.19284375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 179.19284375
transcript.pyannote[39].end 182.66909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 179.31096875
transcript.pyannote[40].end 179.47971875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 183.20909375
transcript.pyannote[41].end 188.37284375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 188.77784375
transcript.pyannote[42].end 210.52971875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 208.69034375
transcript.pyannote[43].end 208.72409375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 209.93909375
transcript.pyannote[44].end 210.37784375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 210.52971875
transcript.pyannote[45].end 210.59721875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 210.59721875
transcript.pyannote[46].end 210.85034375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 210.85034375
transcript.pyannote[47].end 218.68034375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 211.01909375
transcript.pyannote[48].end 213.95534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 216.77346875
transcript.pyannote[49].end 217.16159375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 218.68034375
transcript.pyannote[50].end 219.10221875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 219.05159375
transcript.pyannote[51].end 219.06846875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 219.08534375
transcript.pyannote[52].end 220.84034375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 220.84034375
transcript.pyannote[53].end 221.22846875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 221.39721875
transcript.pyannote[54].end 223.05096875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 222.64596875
transcript.pyannote[55].end 236.26409375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 233.66534375
transcript.pyannote[56].end 243.50346875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 237.68159375
transcript.pyannote[57].end 239.65596875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 240.02721875
transcript.pyannote[58].end 240.78659375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 241.25909375
transcript.pyannote[59].end 242.50784375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 243.11534375
transcript.pyannote[60].end 247.33409375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 245.84909375
transcript.pyannote[61].end 261.44159375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 249.88221875
transcript.pyannote[62].end 250.27034375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 254.65784375
transcript.pyannote[63].end 255.21471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 260.71596875
transcript.pyannote[64].end 261.34034375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 261.84659375
transcript.pyannote[65].end 272.62971875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 273.38909375
transcript.pyannote[66].end 274.46909375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 275.44784375
transcript.pyannote[67].end 282.23159375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 283.27784375
transcript.pyannote[68].end 297.43596875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 297.90846875
transcript.pyannote[69].end 301.63784375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 301.90784375
transcript.pyannote[70].end 306.58221875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 306.73409375
transcript.pyannote[71].end 307.07159375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 307.79721875
transcript.pyannote[72].end 310.85159375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 311.32409375
transcript.pyannote[73].end 317.01096875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 317.17971875
transcript.pyannote[74].end 318.74909375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 319.28909375
transcript.pyannote[75].end 353.95034375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 354.27096875
transcript.pyannote[76].end 356.19471875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 356.85284375
transcript.pyannote[77].end 374.09909375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 374.75721875
transcript.pyannote[78].end 383.49846875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 383.95409375
transcript.pyannote[79].end 391.09221875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 391.39596875
transcript.pyannote[80].end 392.61096875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 393.25221875
transcript.pyannote[81].end 398.02784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 398.02784375
transcript.pyannote[82].end 398.04471875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 398.60159375
transcript.pyannote[83].end 398.68596875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 398.68596875
transcript.pyannote[84].end 404.44034375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 404.71034375
transcript.pyannote[85].end 416.30346875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 413.06346875
transcript.pyannote[86].end 416.21909375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 416.33721875
transcript.pyannote[87].end 422.96909375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 416.53971875
transcript.pyannote[88].end 417.60284375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 418.34534375
transcript.pyannote[89].end 419.49284375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 420.20159375
transcript.pyannote[90].end 435.49034375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 423.98159375
transcript.pyannote[91].end 424.33596875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 425.51721875
transcript.pyannote[92].end 425.87159375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 427.18784375
transcript.pyannote[93].end 427.84596875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 432.82409375
transcript.pyannote[94].end 433.41471875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 434.08971875
transcript.pyannote[95].end 434.74784375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 435.08534375
transcript.pyannote[96].end 435.47346875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 435.49034375
transcript.pyannote[97].end 435.72659375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 435.72659375
transcript.pyannote[98].end 452.77034375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 443.01659375
transcript.pyannote[99].end 443.53971875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 448.21409375
transcript.pyannote[100].end 448.48409375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 453.37784375
transcript.pyannote[101].end 456.12846875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 456.44909375
transcript.pyannote[102].end 469.61159375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 470.10096875
transcript.pyannote[103].end 473.54346875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 474.16784375
transcript.pyannote[104].end 489.96284375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 490.48596875
transcript.pyannote[105].end 491.93721875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 492.42659375
transcript.pyannote[106].end 494.95784375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 495.12659375
transcript.pyannote[107].end 499.78409375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 500.34096875
transcript.pyannote[108].end 502.78784375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 503.12534375
transcript.pyannote[109].end 506.60159375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 507.27659375
transcript.pyannote[110].end 508.23846875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 508.54221875
transcript.pyannote[111].end 511.71471875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 510.83721875
transcript.pyannote[112].end 512.30534375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 512.30534375
transcript.pyannote[113].end 513.52034375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 513.52034375
transcript.pyannote[114].end 513.90846875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 513.90846875
transcript.pyannote[115].end 515.91659375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 516.37221875
transcript.pyannote[116].end 531.50909375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 518.48159375
transcript.pyannote[117].end 519.98346875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 522.81846875
transcript.pyannote[118].end 522.90284375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 522.93659375
transcript.pyannote[119].end 523.07159375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 531.50909375
transcript.pyannote[120].end 531.88034375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 531.88034375
transcript.pyannote[121].end 544.90784375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 545.29596875
transcript.pyannote[122].end 562.94721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 563.58846875
transcript.pyannote[123].end 564.46596875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 564.75284375
transcript.pyannote[124].end 568.61721875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 568.71846875
transcript.pyannote[125].end 574.27034375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 574.70909375
transcript.pyannote[126].end 583.36596875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 579.02909375
transcript.pyannote[127].end 579.45096875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 580.64909375
transcript.pyannote[128].end 593.92971875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 584.42909375
transcript.pyannote[129].end 585.74534375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 590.01471875
transcript.pyannote[130].end 590.31846875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 591.90471875
transcript.pyannote[131].end 592.03971875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 593.64284375
transcript.pyannote[132].end 597.76034375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 598.19909375
transcript.pyannote[133].end 602.87346875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 603.07596875
transcript.pyannote[134].end 608.66159375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 608.96534375
transcript.pyannote[135].end 611.96909375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 611.96909375
transcript.pyannote[136].end 625.60409375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 619.30971875
transcript.pyannote[137].end 619.66409375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 625.60409375
transcript.pyannote[138].end 633.24846875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 634.56471875
transcript.pyannote[139].end 642.93471875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 638.31096875
transcript.pyannote[140].end 638.68221875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 640.04909375
transcript.pyannote[141].end 642.73221875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 642.78284375
transcript.pyannote[142].end 642.79971875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 643.17096875
transcript.pyannote[143].end 643.84596875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 644.25096875
transcript.pyannote[144].end 650.96721875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 651.50721875
transcript.pyannote[145].end 663.74159375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 659.03346875
transcript.pyannote[146].end 659.72534375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 661.46346875
transcript.pyannote[147].end 662.22284375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 662.56034375
transcript.pyannote[148].end 663.10034375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 663.85971875
transcript.pyannote[149].end 669.31034375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 665.98596875
transcript.pyannote[150].end 666.07034375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 669.31034375
transcript.pyannote[151].end 669.73221875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 669.66471875
transcript.pyannote[152].end 679.70534375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 676.98846875
transcript.pyannote[153].end 677.54534375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 679.70534375
transcript.pyannote[154].end 679.77284375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 680.04284375
transcript.pyannote[155].end 680.07659375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 680.07659375
transcript.pyannote[156].end 680.12721875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 680.12721875
transcript.pyannote[157].end 693.88034375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 680.17784375
transcript.pyannote[158].end 681.81471875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 682.55721875
transcript.pyannote[159].end 685.98284375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 686.26971875
transcript.pyannote[160].end 688.80096875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 692.93534375
transcript.pyannote[161].end 708.27471875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 694.11659375
transcript.pyannote[162].end 694.67346875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 701.67659375
transcript.pyannote[163].end 702.03096875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 708.00471875
transcript.pyannote[164].end 722.17971875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 710.18159375
transcript.pyannote[165].end 711.68346875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 711.70034375
transcript.pyannote[166].end 712.45971875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 714.70409375
transcript.pyannote[167].end 717.25221875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 718.99034375
transcript.pyannote[168].end 719.73284375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 720.27284375
transcript.pyannote[169].end 724.49159375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 722.29784375
transcript.pyannote[170].end 722.85471875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 723.71534375
transcript.pyannote[171].end 739.12221875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 724.67721875
transcript.pyannote[172].end 733.28346875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 733.30034375
transcript.pyannote[173].end 736.01721875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 736.37159375
transcript.pyannote[174].end 736.70909375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 737.16471875
transcript.pyannote[175].end 737.35034375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 739.45971875
transcript.pyannote[176].end 739.93221875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 740.25284375
transcript.pyannote[177].end 740.70846875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 740.70846875
transcript.pyannote[178].end 741.97409375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 741.97409375
transcript.pyannote[179].end 742.12596875
transcript.whisperx[0].start 11.09
transcript.whisperx[0].end 14.154
transcript.whisperx[0].text 謝謝詹委那我們是不是有請農業部部長陳部長委員好部長好
transcript.whisperx[1].start 24.128
transcript.whisperx[1].end 47.183
transcript.whisperx[1].text 部長我想透過今天質詢來跟部長聊一下阿里山鐵路阿里山鐵路是農業部管不是交通部是我們的林保署的這個林鐵處主管這一個阿里山的鐵路那這個阿里山鐵路他也被紐約時報2025年推薦全球最值得去的52個地點
transcript.whisperx[2].start 49.955
transcript.whisperx[2].end 58.87
transcript.whisperx[2].text 52個聖地之一那甚至 紐約時報說搭乘古老車廂進入昌裕的高山這個就是他們的一個介紹
transcript.whisperx[3].start 59.963
transcript.whisperx[3].end 85.436
transcript.whisperx[3].text 那我們做這一條阿里山鐵路那現在林鐵處也很用心他還打造了新的車廂一個叫做福生號一個叫做喜悅號那當然他是委託給旅行社來管理所以他有獨特的一個管理方式那至少新的車廂跟傳統的一個車廂有這個新舊的一個感受所以你搭怎樣的車廂去阿里山
transcript.whisperx[4].start 86.657
transcript.whisperx[4].end 106.159
transcript.whisperx[4].text 就會有不同的感受但是我要跟部長說因為我們在兩個禮拜前我們去阿里山我們也是坐福生號去做考察那我想跟部長說我有幾個感受第一個就是說我們在拼國際旅客的這件事情力道不足
transcript.whisperx[5].start 106.9
transcript.whisperx[5].end 129.759
transcript.whisperx[5].text 那怎樣的力道不足呢?我想要跟部長分享一下在113年,也就是2024年,去年的時候來阿里山的遊客日本人佔了131萬人韓國人有100萬人那剩下印度、馬來西亞,甚至是新加坡,新加坡還蠻多的,有40萬人
transcript.whisperx[6].start 131.055
transcript.whisperx[6].end 160.004
transcript.whisperx[6].text 那如果既然這樣的話明明有這麼多外國的旅客願意來到坐阿里山鐵路然後來阿里山旅遊的話但是我們看到那些告示牌目前有的就只有中文跟英文是就是有中文跟英文那你相對的喔你去日本你去看日本的旅遊景點我有給大家注意差不多都四種語言就是日文他們的日文中文英文韓文
transcript.whisperx[7].start 161.124
transcript.whisperx[7].end 177.414
transcript.whisperx[7].text 你的四種語言所以基本上你光是那一種告示的你語言的一個展現就可以讓這一些外國的旅客他們覺得親近覺得來這裡玩是很容易透過一些告示他就知道他要去哪裡所以我覺得這部分我們可以來加強
transcript.whisperx[8].start 178.354
transcript.whisperx[8].end 199.842
transcript.whisperx[8].text 部長,我想非常謝謝委員的提醒,那其實阿里山我覺得是一個非常值得國人去的,也非常值得國外的旅客。那有關於語言上面來講,除了您剛才講的這些,不管在折頁或是在導覽的解說,可以有更多的語言方面,其實我已經跟林業百會署特別提到,
transcript.whisperx[9].start 200.382
transcript.whisperx[9].end 220.924
transcript.whisperx[9].text 有很多景點我們手機有沒有一照的時候可以跳出它的後面的整個背景說明那這樣的話又更能多元化部長你們的官方網站有有日文官方網站有很多景點的說明你看林保署他們做的這一本哇這個日文版的精裝版非常的漂亮然後裡面都是日文是
transcript.whisperx[10].start 222.185
transcript.whisperx[10].end 249.941
transcript.whisperx[10].text 這本也做得很好我現在就是說進到原子裡面去遊覽的時候很多景點都說明有一些用QR code的方式能夠用手機掃描帶出不同國家語言的版本這樣的話讓旅客更能夠了解這個是一個方式但是我覺得幾個基本語言我們一定會把它放進去我是覺得直接做硬體的告示是更好比方說你把日文放上去我覺得重要的那些多過語言的告示我想我們會再來做那你可以再透過APP然後讓其他的可能是
transcript.whisperx[11].start 251.741
transcript.whisperx[11].end 272.249
transcript.whisperx[11].text 旅客相對比較少可是他們的語言也是需要所以我覺得這個都是說你要怎麼把它做到更親近讓大家更適合來旅遊那我在考察的時候我有找文化部來事實上文化部每一年他針對阿里山森林鐵路要進去聯合國的世界文化資產他們編了兩千萬
transcript.whisperx[12].start 275.79
transcript.whisperx[12].end 280.962
transcript.whisperx[12].text 編了兩千萬那我跟部長說雖然這裡沒有辦法把文化錄叫來問但是我跟部長說這個兩千萬沒差錢
transcript.whisperx[13].start 284.082
transcript.whisperx[13].end 306.008
transcript.whisperx[13].text 因為我們都知道台灣不是聯合國的會員國那你要進入世界文化資產的話就要在聯合國的這個文化的一個委員會要提案但是連提案的資格都沒有所以我要跟部長說在於阿里山鐵路要爭取世界文化遺產我們擁有最好的機會是怎樣就是因為這一個森林鐵路是日本人蓋的
transcript.whisperx[14].start 307.847
transcript.whisperx[14].end 325.607
transcript.whisperx[14].text 日本人蓋這個森林潛入當年是為了運送木材現在我們把它轉型它變成一個觀光一個重要的觀光的火車我們應該跟日本合作由日本主動來申請世界文化遺產向聯合國申請跨國世界文化遺產
transcript.whisperx[15].start 326.328
transcript.whisperx[15].end 351.085
transcript.whisperx[15].text 那為什麼會有所謂的跨國呢?我們知道阿里山鐵路過去把阿里山這裡的Hinoki載去日本所以包括日本明治神宮的大鳥居也是阿里山的Hinoki包括日本的法隆寺裡面的建築物也是阿里山的Hinoki還有包括在沖繩日本的這個首里城也是用阿里山的Hinoki
transcript.whisperx[16].start 357.049
transcript.whisperx[16].end 373.26
transcript.whisperx[16].text 幾乎都是過去這一條鐵路把它載到了日本所以你透過這樣整個檜木的一個文化的一個延伸跟這個鐵路現在這個鐵路比現在世界文化遺產在印度他的大吉嶺的高山鐵路他的高山鐵路
transcript.whisperx[17].start 375.782
transcript.whisperx[17].end 397.138
transcript.whisperx[17].text 2100公尺 我們阿里山高山鐵路是從海平面40公尺直接攀升到2200多公尺 比它還要高所以我們更有資格變成世界文化遺產 但是我們卻卡在這個國際因素所以我們應該要跟日本合作 為日本來興慶讓我們可以叩關聯合國 然後讓阿里山鐵路變成世界文化遺產
transcript.whisperx[18].start 399.73
transcript.whisperx[18].end 414.801
transcript.whisperx[18].text 謝謝委員這樣的一個建議我們會去評估它的可行性不過我要跟委員報告的就是在沒有加入世界遺產這是一件事情其實我們跟日本跟瑞士、印度、英國還有一些斯洛伐克等幾個國家有跟他的高山鐵路高山鐵路
transcript.whisperx[19].start 416.642
transcript.whisperx[19].end 434.997
transcript.whisperx[19].text 我覺得透過這個方式 其實也讓更多人了解到台灣的安全我們跟日本的黑山鐵路嘛 跟瑞士的高山鐵路 都是這個叫姊妹鐵路這個都是我們努力的方向所以我現在要說的就是說 第一個整個阿里山旅遊 透過阿里山鐵路的旅遊它的告示應該要走國際化第二個 我們應該要嘗試的把它的
transcript.whisperx[20].start 439.44
transcript.whisperx[20].end 450.33
transcript.whisperx[20].text 阿里山鐵路背後代表著歷史意涵跟文化意涵所以要大家更加的琢磨我們才有辦法來擴寬世界文化遺產好 這我們來努力好 然後來下一個問題一樣來講這個豬的問題啦豬的問題我覺得剛剛張委員質詢 雖然他人不在這邊但是我覺得
transcript.whisperx[21].start 459.719
transcript.whisperx[21].end 469.366
transcript.whisperx[21].text 他這樣質詢對部長比較不公平因為主要整個食安也好整個檢疫的過程他就是一個用科學統計的一個計算嘛
transcript.whisperx[22].start 490.74
transcript.whisperx[22].end 496.623
transcript.whisperx[22].text 但是部長我要跟你說,現在DMA介紹說獎金要一百塊,看似對豬農收益好,但是未必是這樣,因為最近不知道怎麼樣
transcript.whisperx[23].start 507.33
transcript.whisperx[23].end 531.197
transcript.whisperx[23].text 那個Deeper,Deeper就是那個小豬仔小豬仔,他的死亡率有比較高價格很高,這個小豬仔價格很高咧最近整個Deeper新聞館,他們的抵控率感覺比較不夠所以死亡率又變高所以對豬農而言說,他這個97塊看起來有利潤的全部給他的Deeper吃牙
transcript.whisperx[24].start 532.357
transcript.whisperx[24].end 540.02
transcript.whisperx[24].text 所以部長你有沒有注意到這一塊 那要怎麼樣去協助豬籠說 本來應該端午節這肉粽子要賣了 介紹應該要賺錢的時候 我這坡沒賺到 因為這坡的介紹太慢我跟委員 委員報告 現在的地價我們是根據市場機制 我們沒有特別去押它
transcript.whisperx[25].start 551.525
transcript.whisperx[25].end 573.963
transcript.whisperx[25].text 那其中一個非常重要的有人說以前豬肉才70幾塊我說我們現在養豬的成本是越來越高包括飼料包括您剛才講的這些豬仔本身也價格越來越高我前幾天像昨天我也到豬場去了解現在有一些有關的下痢的疾病那這個部分我也請專家團在了解現在好像
transcript.whisperx[26].start 574.804
transcript.whisperx[26].end 585.691
transcript.whisperx[26].text 那個死亡的比例有一點異常啦所以我們希望說這兩件事就綁在一起嘛死亡的比例有一點異常所以變成牠的地盤的成本高豬籠牠要取得這個小豬仔牠的成本就提高就吃掉了牠最後銷售的成本所以我說這個東西我們也要讓消費者知道其實我們基本上是一個很好的豬的台灣豬肉一個很好的豬的品質
transcript.whisperx[27].start 603.163
transcript.whisperx[27].end 618.831
transcript.whisperx[27].text 那相對的在這個節慶的過程中這個價錢是一個合理的價錢不是說偏高啦這個部分我想我們也會做加強的一個說明好 那部長我再問最後一題就是5月19號的時候你跟我有說我們行政院接下來會討論嘉義的查改廠的一個進度那我想要請教部長說那討論的結論是怎樣呢
transcript.whisperx[28].start 625.874
transcript.whisperx[28].end 650.502
transcript.whisperx[28].text 現在一個問題就是梅山蝦經過探勘它的地質不穩定所以變成說那個腸子又可能會產生一些變化地質的不穩定是怎樣不穩定以做探勘醫療可能會滑動啦所以是不夠水保不是水保就是本身地質的特性就容易滑動啦
transcript.whisperx[29].start 651.582
transcript.whisperx[29].end 677.33
transcript.whisperx[29].text 所以會變成有一些你如果在這邊做廠的話會有一些困擾所以我也在請我們的查開廠這邊在做怎麼樣的規劃部長剛剛講這個問題就很大這個就是我那天您問了以後我請他們來然後他們也把最近的這些勘查的報告跟我講那我覺得那個我們不能說地質不穩定然後硬去蓋一個東西所以看看說有沒有辦法在我聽起來我抓
transcript.whisperx[30].start 680.531
transcript.whisperx[30].end 707.397
transcript.whisperx[30].text 會緊張會煩惱我看我們要找一天來加以和我們縣政府這邊大家要討論一下因為現在整個嘉義的茶葉包括說我們現在甚至咖啡類我們目標不變但是現在就是說有沒有辦法先成立我們的試驗地先不要先看看用成株的或是什麼方式然後先把那個廠區先把它設起來看看可不可以用這樣的分階段來做
transcript.whisperx[31].start 708.717
transcript.whisperx[31].end 723.164
transcript.whisperx[31].text 看起來現在有一點就要重頭因為你說如果來一塊地質不一定是不是涉及牽涉到又要找新的廠主還是怎樣這個問題就會變得說又跑回頭所以我覺得這顆零 我覺得你要花一點時間我們一起再跟委員來說明一下還是我經紀人會我排考察的方式可能麻煩部長你就要來不然這個問題這樣起來會變沒概念我瞭解好不好 不然你再找一座來我教他 大家來討論一下好不好
transcript.whisperx[32].start 737.892
transcript.whisperx[32].end 738.013
transcript.whisperx[32].text 好 謝謝部長好 謝謝