iVOD / 166437

Field Value
IVOD_ID 166437
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/166437
日期 2025-12-15
會議資料.會議代碼 委員會-11-4-19-16
會議資料.會議代碼:str 第11屆第4會期經濟委員會第16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 16
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16次全體委員會議
影片種類 Clip
開始時間 2025-12-15T12:27:11+08:00
結束時間 2025-12-15T12:39:09+08:00
影片長度 00:11:58
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/d486c5db5da759069e12de137fb5aecb3d053df696e011f86697ca1ee740c94bbe8a7296b23f08fd5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 劉建國
委員發言時間 12:27:11 - 12:39:09
會議時間 2025-12-15T09:00:00+08:00
會議名稱 立法院第11屆第4會期經濟委員會第16次全體委員會議(事由:邀請農業部部長及環境部首長就「2027年全面禁止廚餘養豬」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.04784375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 0.31784375
transcript.pyannote[1].end 1.04346875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 1.46534375
transcript.pyannote[2].end 4.50284375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 4.92471875
transcript.pyannote[3].end 7.08471875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 7.62471875
transcript.pyannote[4].end 12.26534375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 12.51846875
transcript.pyannote[5].end 12.68721875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 13.37909375
transcript.pyannote[6].end 15.21846875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 16.01159375
transcript.pyannote[7].end 18.93096875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 20.01096875
transcript.pyannote[8].end 22.89659375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 23.20034375
transcript.pyannote[9].end 42.20159375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 42.72471875
transcript.pyannote[10].end 44.15909375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 44.86784375
transcript.pyannote[11].end 47.24721875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 47.70284375
transcript.pyannote[12].end 48.27659375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 48.79971875
transcript.pyannote[13].end 52.09034375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 52.42784375
transcript.pyannote[14].end 53.60909375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 54.25034375
transcript.pyannote[15].end 55.24596875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 55.76909375
transcript.pyannote[16].end 63.85221875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 64.17284375
transcript.pyannote[17].end 64.89846875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 65.75909375
transcript.pyannote[18].end 66.40034375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 67.44659375
transcript.pyannote[19].end 67.69971875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 67.91909375
transcript.pyannote[20].end 69.25221875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 69.50534375
transcript.pyannote[21].end 70.04534375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 70.45034375
transcript.pyannote[22].end 71.93534375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 72.71159375
transcript.pyannote[23].end 74.21346875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 75.02346875
transcript.pyannote[24].end 87.07221875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 87.83159375
transcript.pyannote[25].end 93.24846875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 95.13846875
transcript.pyannote[26].end 95.49284375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 95.64471875
transcript.pyannote[27].end 104.97659375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 104.97659375
transcript.pyannote[28].end 105.04409375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 105.09471875
transcript.pyannote[29].end 105.97221875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 105.97221875
transcript.pyannote[30].end 106.91721875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 106.91721875
transcript.pyannote[31].end 107.25471875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 107.25471875
transcript.pyannote[32].end 108.80721875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 109.06034375
transcript.pyannote[33].end 113.73471875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 114.17346875
transcript.pyannote[34].end 119.52284375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 120.46784375
transcript.pyannote[35].end 122.93159375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 123.65721875
transcript.pyannote[36].end 127.45409375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 127.84221875
transcript.pyannote[37].end 129.56346875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 129.83346875
transcript.pyannote[38].end 132.75284375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 133.71471875
transcript.pyannote[39].end 134.42346875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 134.81159375
transcript.pyannote[40].end 143.21534375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 144.49784375
transcript.pyannote[41].end 153.22221875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 153.79596875
transcript.pyannote[42].end 154.08284375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 154.52159375
transcript.pyannote[43].end 156.12471875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 156.22596875
transcript.pyannote[44].end 158.74034375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 159.38159375
transcript.pyannote[45].end 163.29659375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 164.05596875
transcript.pyannote[46].end 166.60409375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 167.26221875
transcript.pyannote[47].end 168.74721875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 169.05096875
transcript.pyannote[48].end 174.23159375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 175.04159375
transcript.pyannote[49].end 177.13409375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 178.02846875
transcript.pyannote[50].end 179.80034375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 180.82971875
transcript.pyannote[51].end 183.24284375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 183.76596875
transcript.pyannote[52].end 184.06971875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 184.22159375
transcript.pyannote[53].end 185.36909375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 185.92596875
transcript.pyannote[54].end 187.02284375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 187.64721875
transcript.pyannote[55].end 189.89159375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 190.09409375
transcript.pyannote[56].end 190.83659375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 191.24159375
transcript.pyannote[57].end 193.21596875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 194.78534375
transcript.pyannote[58].end 198.32909375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 199.18971875
transcript.pyannote[59].end 200.06721875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 200.28659375
transcript.pyannote[60].end 205.63596875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 205.65284375
transcript.pyannote[61].end 212.41971875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 213.46596875
transcript.pyannote[62].end 214.88346875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 215.11971875
transcript.pyannote[63].end 217.02659375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 217.02659375
transcript.pyannote[64].end 217.04346875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 217.04346875
transcript.pyannote[65].end 217.22909375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 217.22909375
transcript.pyannote[66].end 217.31346875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 217.68471875
transcript.pyannote[67].end 223.94534375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 224.31659375
transcript.pyannote[68].end 225.66659375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 226.25721875
transcript.pyannote[69].end 228.21471875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 228.68721875
transcript.pyannote[70].end 229.58159375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 230.37471875
transcript.pyannote[71].end 231.15096875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 232.85534375
transcript.pyannote[72].end 233.02409375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 233.02409375
transcript.pyannote[73].end 240.31409375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 241.54596875
transcript.pyannote[74].end 251.65409375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 253.27409375
transcript.pyannote[75].end 279.49784375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 279.91971875
transcript.pyannote[76].end 280.59471875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 281.77596875
transcript.pyannote[77].end 286.68659375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 287.12534375
transcript.pyannote[78].end 293.36909375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 291.00659375
transcript.pyannote[79].end 304.60784375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 305.01284375
transcript.pyannote[80].end 309.95721875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 310.19346875
transcript.pyannote[81].end 310.91909375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 311.05409375
transcript.pyannote[82].end 314.53034375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 314.10846875
transcript.pyannote[83].end 317.95596875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 317.95596875
transcript.pyannote[84].end 317.98971875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 318.10784375
transcript.pyannote[85].end 327.67596875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 328.28346875
transcript.pyannote[86].end 329.80221875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 330.59534375
transcript.pyannote[87].end 331.59096875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 332.23221875
transcript.pyannote[88].end 340.80471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 341.20971875
transcript.pyannote[89].end 353.74784375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 354.20346875
transcript.pyannote[90].end 359.19846875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 359.43471875
transcript.pyannote[91].end 362.97846875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 362.97846875
transcript.pyannote[92].end 368.29409375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 364.39596875
transcript.pyannote[93].end 364.69971875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 368.59784375
transcript.pyannote[94].end 379.36409375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 379.78596875
transcript.pyannote[95].end 395.86784375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 396.55971875
transcript.pyannote[96].end 410.46471875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 410.65034375
transcript.pyannote[97].end 413.02971875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 413.40096875
transcript.pyannote[98].end 415.83096875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 416.40471875
transcript.pyannote[99].end 423.57659375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 423.94784375
transcript.pyannote[100].end 424.82534375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 426.98534375
transcript.pyannote[101].end 427.03596875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 427.03596875
transcript.pyannote[102].end 427.60971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 429.55034375
transcript.pyannote[103].end 436.82346875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 437.09346875
transcript.pyannote[104].end 448.82159375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 443.05034375
transcript.pyannote[105].end 443.35409375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 445.26096875
transcript.pyannote[106].end 446.40846875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 447.82596875
transcript.pyannote[107].end 452.36534375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 452.68596875
transcript.pyannote[108].end 456.65159375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 455.80784375
transcript.pyannote[109].end 457.79909375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 456.88784375
transcript.pyannote[110].end 461.83221875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 461.95034375
transcript.pyannote[111].end 466.27034375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 466.27034375
transcript.pyannote[112].end 466.35471875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 466.35471875
transcript.pyannote[113].end 466.40534375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 466.40534375
transcript.pyannote[114].end 466.57409375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 466.57409375
transcript.pyannote[115].end 466.65846875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 466.65846875
transcript.pyannote[116].end 466.92846875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 466.92846875
transcript.pyannote[117].end 466.94534375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 466.94534375
transcript.pyannote[118].end 502.36596875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 502.92284375
transcript.pyannote[119].end 503.74971875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 503.98596875
transcript.pyannote[120].end 505.75784375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 506.34846875
transcript.pyannote[121].end 508.01909375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 508.37346875
transcript.pyannote[122].end 510.49971875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 510.82034375
transcript.pyannote[123].end 513.97596875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 515.00534375
transcript.pyannote[124].end 524.89409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 529.36596875
transcript.pyannote[125].end 530.54721875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 532.18409375
transcript.pyannote[126].end 533.02784375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 533.02784375
transcript.pyannote[127].end 534.27659375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 534.27659375
transcript.pyannote[128].end 534.36096875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 534.58034375
transcript.pyannote[129].end 534.59721875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 534.59721875
transcript.pyannote[130].end 534.96846875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 534.96846875
transcript.pyannote[131].end 537.02721875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 537.02721875
transcript.pyannote[132].end 539.76096875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 539.96346875
transcript.pyannote[133].end 545.19471875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 545.56596875
transcript.pyannote[134].end 547.96221875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 547.96221875
transcript.pyannote[135].end 548.02971875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 548.02971875
transcript.pyannote[136].end 554.12159375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 548.06346875
transcript.pyannote[137].end 550.05471875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 554.93159375
transcript.pyannote[138].end 557.41221875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 557.81721875
transcript.pyannote[139].end 559.58909375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 560.12909375
transcript.pyannote[140].end 564.21284375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 565.27596875
transcript.pyannote[141].end 567.40221875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 567.92534375
transcript.pyannote[142].end 569.96721875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 569.96721875
transcript.pyannote[143].end 571.73909375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 572.04284375
transcript.pyannote[144].end 587.16284375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 587.50034375
transcript.pyannote[145].end 600.03846875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 593.00159375
transcript.pyannote[146].end 593.87909375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 596.49471875
transcript.pyannote[147].end 597.76034375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 597.84471875
transcript.pyannote[148].end 597.91221875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 597.94596875
transcript.pyannote[149].end 599.31284375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 600.03846875
transcript.pyannote[150].end 603.24471875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 600.71346875
transcript.pyannote[151].end 601.50659375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 604.03784375
transcript.pyannote[152].end 604.05471875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 604.05471875
transcript.pyannote[153].end 605.57346875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 604.07159375
transcript.pyannote[154].end 605.43846875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 606.06284375
transcript.pyannote[155].end 608.69534375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 606.83909375
transcript.pyannote[156].end 615.20909375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 615.36096875
transcript.pyannote[157].end 619.95096875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 621.21659375
transcript.pyannote[158].end 629.02971875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 621.23346875
transcript.pyannote[159].end 621.82409375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 629.02971875
transcript.pyannote[160].end 629.33346875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 629.80596875
transcript.pyannote[161].end 634.81784375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 634.86846875
transcript.pyannote[162].end 636.97784375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 636.97784375
transcript.pyannote[163].end 637.63596875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 638.64846875
transcript.pyannote[164].end 638.66534375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 638.66534375
transcript.pyannote[165].end 638.88471875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 638.88471875
transcript.pyannote[166].end 638.96909375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 638.96909375
transcript.pyannote[167].end 640.33596875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 640.90971875
transcript.pyannote[168].end 643.91346875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 644.08221875
transcript.pyannote[169].end 645.29721875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 645.92159375
transcript.pyannote[170].end 649.04346875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 649.56659375
transcript.pyannote[171].end 650.34284375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 650.34284375
transcript.pyannote[172].end 650.35971875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 650.57909375
transcript.pyannote[173].end 652.03034375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 652.03034375
transcript.pyannote[174].end 658.18971875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 658.72971875
transcript.pyannote[175].end 665.04096875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 662.69534375
transcript.pyannote[176].end 663.31971875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 665.04096875
transcript.pyannote[177].end 667.60596875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 667.60596875
transcript.pyannote[178].end 670.20471875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 670.20471875
transcript.pyannote[179].end 686.40471875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 686.53971875
transcript.pyannote[180].end 693.72846875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 693.40784375
transcript.pyannote[181].end 708.73034375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 705.94596875
transcript.pyannote[182].end 706.28346875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 709.13534375
transcript.pyannote[183].end 711.24471875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 709.37159375
transcript.pyannote[184].end 710.95784375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 711.48096875
transcript.pyannote[185].end 716.91471875
transcript.whisperx[0].start 6.173
transcript.whisperx[0].end 18.041
transcript.whisperx[0].text 感謝主席我要講久一點因為陳冠廷委員特別拜託請部長跟次長請部長說明一下到底是黑水盟還是黑水盲
transcript.whisperx[1].start 20.083
transcript.whisperx[1].end 44.046
transcript.whisperx[1].text 我們要讓嘉義縣兩位委員的說法要口徑要一致黑水蒙吧 黑水蒙好 那個議員已經有聽到了我來接續剛剛 剛剛先針對那個環境部次長的這個戰事的垃圾處理的方式因為在委員會今天也排這個專欄報告平均兩個星期
transcript.whisperx[2].start 44.927
transcript.whisperx[2].end 74.121
transcript.whisperx[2].text 就有一個戰車垃圾處理的堆置場火燒了所以它已經不叫做險惡設施它叫做環境危險的設施兩個禮拜就一次中央環境部都有在監控我們還持續不斷的讓它持續在發生那我剛剛是根本跟本部長講說你們到現在還在訂指引沒法啦太遜了應該是從幫我去修訂甚至於我們委員會都可以來修法講程要分明了
transcript.whisperx[3].start 75.323
transcript.whisperx[3].end 93.107
transcript.whisperx[3].text 講成要很積極的讓地方政府在垃圾戰時對市長裡面他應該要什麼樣的一個規範他應該面對到這樣的火災他必須應該接受到什麼樣的懲處我覺得這個是要請市長特別明確的來跟委會做這樣一個說明可以吧
transcript.whisperx[4].start 95.165
transcript.whisperx[4].end 121.25
transcript.whisperx[4].text 好 謝委員關心這個議題我想這個的確是很多縣市都有這樣的一個情況發生我們也一再的提醒 一再的發文但是事情還是在發生對 所以現在訂資營已經來不及了是 它只是一個行政指導而且剛剛部長達夫跟海明的報告是兩個 是今年的 明年的2月才會把資營訂出來也邀請專家學者還有地方的相關的這些單位來做討論那怎麼需要討論 訂一個資營還要兩三個月
transcript.whisperx[5].start 124.097
transcript.whisperx[5].end 152.31
transcript.whisperx[5].text 所以我想說剛剛委員會排的這個專案報告你不要這個禮拜又燒一次哪一個縣市又燒一次還是剛剛講的嘉義市又燒一次所以特別再拜託次長好不好那第二件事情我請陳部長還有營養環境部的次長我們可能要重新定義廚餘廚餘到底要怎麼定義這個可能要請你們好好說明一下因為政策的成敗在於有沒有系統性且有邏輯的處理的問題
transcript.whisperx[6].start 154.617
transcript.whisperx[6].end 182.923
transcript.whisperx[6].text 目前的邏輯斷成在於我們政府切斷了廚餘養豬那既然這條路已經確定明確要這樣走下去了但是原有的廚餘總量它不會消失它不可能憑空消失嘛那你看現在我們有沒有辦法精準的去區分到所謂的高風險廚餘還有所謂的什麼叫可利用的資源所有的廚餘廢棄物如果再這樣下去一定會塞爆我們所有的焚化廠
transcript.whisperx[7].start 183.82
transcript.whisperx[7].end 212.108
transcript.whisperx[7].text 跟我們的堆灰廠一定會馬上發生而且你看地方政府一直跟中央不會同調我們現在核心的邏輯問題是台北市廚餘全數堆毀處理不再分紅統跟藍統新北市2026年明年開始不再分生廚餘跟熟廚餘台中市維持生熟廚餘分開台南高雄不調整生廚餘的分類
transcript.whisperx[8].start 214.271
transcript.whisperx[8].end 239.912
transcript.whisperx[8].text 這個資料正確吧 目前來講你們的掌握是不是這樣跟後端的處理方式有相關所以因地制宜的採取前端的分類方式對 我是說現在各縣市給中央的訊息是不是如此如果是這樣那就糟糕了那你們怎麼去管控不是 各縣市後端處理的方式不同來決定前端用什麼方式來分類
transcript.whisperx[9].start 241.618
transcript.whisperx[9].end 251.539
transcript.whisperx[9].text 如果是桃園來講它生殖能源中心是生手廚藝都可以處理它沒有必要去做分類啊沒有必要把身跟手再分開只要把垃圾跟廚藝分類就好了
transcript.whisperx[10].start 253.705
transcript.whisperx[10].end 280.391
transcript.whisperx[10].text 市長你這樣講話也對啦 如果地方政府他可以做到這樣程度 不過我們覺得今天非洲族分的感染的來源主要是我們的熟廚宇 肉類的熟廚宇 或是對不起 生熟的肉類的廚宇 應該是這麼講嘛但是我們蔬果的這個廚宇基本上他是沒有這個風險性的那我們把這兩個融在一塊 不再做這樣那個源頭的分流那豈不是
transcript.whisperx[11].start 281.82
transcript.whisperx[11].end 303.286
transcript.whisperx[11].text 那你說你要讓地方政府他有這樣處理的源頭量能你們就接受會不會再來一次像台中市這種狀況發生我再擔憂這個狀況這個邏輯上的問題會不會再發生這樣的風險可是因為這一次的政策調整主要都基於風險的管控當然沒有錯所以只有一年的緩衝期一年過後全面就禁止處理養豬所以那個風險就已經歸零
transcript.whisperx[12].start 305.106
transcript.whisperx[12].end 329.135
transcript.whisperx[12].text 在這種情況之下就過渡的一年之中就會有剛剛委員講的那一種分類的問題那到底怎麼樣分類我們盡量就是把高風險的部分那這一年會不會塞爆焚化廠會不會塞爆野脈廠會不會塞爆堆肥廠跟委員報告如果委員談的是這個部分那應該就是量能跟再利用量能之間的關係是不是我跟委員報告一下目前除以在禁止養豬的期間產生量大概是1000
transcript.whisperx[13].start 331.055
transcript.whisperx[13].end 352.791
transcript.whisperx[13].text 700多公噸但是我們的再利用量大概有1100公噸的確是有600噸的一個缺口對但是未來的一年因為已經有落日了所以民間會看到這樣的商機之後會投入這樣的再利用的一個管道所以地方政府所報上來的所掌握的不管是公的或者是私有的所投入的量能大概在明年會有增加620噸
transcript.whisperx[14].start 354.272
transcript.whisperx[14].end 374.644
transcript.whisperx[14].text 那過程當中當然就會有銜接不是一步到位所以魂化爐會繼續使用那魂化爐我們擔心的就是操作過程會不會產生代號性的問題這個我們都討論過了包含多少量我都非常清楚我是說要趁這一年這一年甚至我們環境部長都想說可以提早是不是半年就可以解決嘛對不對好那我們是不是趁這個機會
transcript.whisperx[15].start 376.686
transcript.whisperx[15].end 395.521
transcript.whisperx[15].text 強調整個系統整個邏輯上的一個處理趕快的來做這樣更積極的分流包含現在比較低階的果菜市場基本上還是初級的市面架空都還把這些可能一些蔬果啦齁這些這些這些下甲料都還把他當成一般食用廢棄物在處理
transcript.whisperx[16].start 396.638
transcript.whisperx[16].end 424.572
transcript.whisperx[16].text 那我是覺得國外很多的這個先進的科技生物科技也好農業科技也好其實都已經巡迴在利用甚至於農業零廢棄我們都朝向這個方向了那現在在家用的部分家務的部分竟然把生廚宇跟所廚宇又把它混在一塊我覺得這不應該發生啊我要講這個源頭我先講這個簡單的源頭就好家務的廚宇怎麼會容許我們地方政府把生的跟所的又混在一塊沒有道理啊
transcript.whisperx[17].start 427.205
transcript.whisperx[17].end 451.852
transcript.whisperx[17].text 請答我如果它後端的再利用是屬於做堆回的它不見得要分類的時候我們為什麼要強制它要分類如果是屬於生殖能驗養消化設施的也不需要去分的時候為什麼我們要做這樣的一個分類一般人民百姓聽不清楚 次長講得這麼細啦因為後端的再利用的方式來決定前端這600噸如果又把它混在一塊啦
transcript.whisperx[18].start 452.776
transcript.whisperx[18].end 475.116
transcript.whisperx[18].text 不要跟一般的垃圾混在一起我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然不是一般的垃圾我當然
transcript.whisperx[19].start 479.5
transcript.whisperx[19].end 505.545
transcript.whisperx[19].text 一輛驗出陽性的出移車 其這個行駛的軌跡無法完全掌握這是環境部的問題 揮劃流向失控 暗藏私下出移分送給西洋豬場顯示出即便在有納管的情況之下 私下轉運依然猖獗那我要表達說 現在連合法申報的期間我們都抓不到私下轉運的這些黑數那我們現在全面來禁止了
transcript.whisperx[20].start 506.425
transcript.whisperx[20].end 524.713
transcript.whisperx[20].text 然後我們要容許地方政府把這樣的生豬與跟雄豬分在一塊我覺得 我覺得我現在在邏輯上我是沒辦法接受的市長你要表達那個我聽 我聽得清楚但是人民百姓聽不清楚為什麼我們在處理豬與我們禁止豬與養豬的情況之下我們可以默許這樣事情發生啦處長你聽我講什麼我覺得你講的是後端的
transcript.whisperx[21].start 534.673
transcript.whisperx[21].end 563.963
transcript.whisperx[21].text 我前段也講我後段也講因為時間的關係我把兩個混在一起講給你聽所以委員是關心的是緩衝期一年期間的事情還是指落日之後的事情我覺得緩衝期會馬上遇到了嘛緩衝只有一年的時間嘛是所以分類上面我們基本上加護的部分我們都不讓他進去了就沒有所謂分類之後的風險的問題加護的部分不管生或熟就看地方政府收來的這些廚餘他要做什麼樣的方式再利用
transcript.whisperx[22].start 565.336
transcript.whisperx[22].end 586.972
transcript.whisperx[22].text 如果他要進魂化爐他也不需要分啦短時間之內如果只能用魂化處理所以你不擔心魂化爐會塞爆不擔心魂化爐因為溺水的問題導致魂化爐又壞掉然後又不能收取其他的一般會氣汙的魂化你都不用擔心這些事情就對了你現在這個部分你跟我講得很清楚我聽得非常清楚所以
transcript.whisperx[23].start 587.588
transcript.whisperx[23].end 605.153
transcript.whisperx[23].text 他要不要分類 反正到最終都到魂化爐來然後反正最終都到堆肥廠所以這一年內你都不需要擔心魂化爐的魂化量魂化廠的問題也不用擔心堆肥廠會去塞爆現在的魂化爐壓力最大的就是台中市其他的縣市沒有嗎
transcript.whisperx[24].start 606.121
transcript.whisperx[24].end 627.697
transcript.whisperx[24].text 台中市最大 接下來台北跟新北市長 你要跟我講其他縣市沒有嗎有啊 有魂化爐 我們現在講的是魂化爐其他縣市沒有因為要收取這麼多的原本不需要收取到魂化場去處理的廚藝它不會有問題嗎這問題你必須要釐清才答覆我你不要急著答覆我 我跟你提醒是有問題今天我才到這個委員會來追尋你
transcript.whisperx[25].start 629.864
transcript.whisperx[25].end 644.661
transcript.whisperx[25].text 那如果要我現在說明我可以說明但是因為需要一點時間那是不是我現在說明就看主席了不是我的問題書面 好書面是好啦謝謝主席已經站出來了站起來了部長最後一點陳部長
transcript.whisperx[26].start 645.987
transcript.whisperx[26].end 669.965
transcript.whisperx[26].text 拜託 工地放零 散播地 農牧用地一定要積極的快速的趕快來做處理一個月內可以嗎我們現在目前已經有做內部的討論但是至於說是不是開放放零這個還要行政院同意內部的規劃我們會先規劃一個月內可以有規劃的初期報告嗎有一些初步的規劃可以提供給委員
transcript.whisperx[27].start 670.385
transcript.whisperx[27].end 688.477
transcript.whisperx[27].text 他只要不要危害這個山坡地的這個保護 違反這個生態 違反相關的一些法規基本上這些從農的百姓也很多比69年更早之前的都已經在這個地方耕作了那胡耳根有起點的這樣的一個政策
transcript.whisperx[28].start 689.257
transcript.whisperx[28].end 714.792
transcript.whisperx[28].text 不應該只有平地還是養殖嘛應該連散播地都應該一併思考才對對 這個我跟委員報告已經內部已經有做一些討論了齁但是要分兩個部分一個是58527那個案子那是另外一件案子對然後一般的合法的成熟的散播地那是另外一個案子是所以這個部分我們有分開來做一些研議好 一個月內能不能出一期的應該可以提供提供給委員一些一些我們初步的規劃好 謝謝江邦部長 謝謝謝謝主席 謝謝