iVOD / 155314

Field Value
影片長度 539
委員名稱 鄭天財Sra Kacaw
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f44693e142c0600a5f52a49920a61ad6b46d19fd1690e0d462b050408041decee25638440f1b511c5ea18f28b6918d91.mp4/playlist.m3u8
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 12.61971875
transcript.pyannote[0].end 17.12534375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 23.52096875
transcript.pyannote[1].end 24.48284375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 23.55471875
transcript.pyannote[2].end 24.22971875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 24.76971875
transcript.pyannote[3].end 24.83721875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 25.69784375
transcript.pyannote[4].end 28.16159375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 28.81971875
transcript.pyannote[5].end 30.00096875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 30.55784375
transcript.pyannote[6].end 32.31284375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 33.12284375
transcript.pyannote[7].end 34.55721875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 35.31659375
transcript.pyannote[8].end 36.22784375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 37.05471875
transcript.pyannote[9].end 38.79284375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 38.80971875
transcript.pyannote[10].end 39.83909375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 40.73346875
transcript.pyannote[11].end 41.99909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 42.64034375
transcript.pyannote[12].end 43.12971875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 43.46721875
transcript.pyannote[13].end 44.64846875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 45.17159375
transcript.pyannote[14].end 45.40784375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 45.82971875
transcript.pyannote[15].end 46.52159375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 47.19659375
transcript.pyannote[16].end 48.25971875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 48.98534375
transcript.pyannote[17].end 50.53784375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 51.38159375
transcript.pyannote[18].end 54.01409375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 54.52034375
transcript.pyannote[19].end 56.41034375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 57.08534375
transcript.pyannote[20].end 58.90784375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 59.73471875
transcript.pyannote[21].end 61.65846875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 62.62034375
transcript.pyannote[22].end 63.31221875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 63.95346875
transcript.pyannote[23].end 64.67909375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 65.05034375
transcript.pyannote[24].end 65.97846875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 66.78846875
transcript.pyannote[25].end 70.34909375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 71.44596875
transcript.pyannote[26].end 73.90971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 72.52596875
transcript.pyannote[27].end 73.40346875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 74.66909375
transcript.pyannote[28].end 82.22909375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 82.83659375
transcript.pyannote[29].end 84.96284375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 86.12721875
transcript.pyannote[30].end 87.25784375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 88.03409375
transcript.pyannote[31].end 91.10534375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 92.13471875
transcript.pyannote[32].end 93.70409375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 94.09221875
transcript.pyannote[33].end 94.10909375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 94.10909375
transcript.pyannote[34].end 94.63221875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 95.39159375
transcript.pyannote[35].end 96.03284375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 96.03284375
transcript.pyannote[36].end 138.49034375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 139.77284375
transcript.pyannote[37].end 141.19034375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 141.19034375
transcript.pyannote[38].end 141.22409375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 142.21971875
transcript.pyannote[39].end 144.17721875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 145.02096875
transcript.pyannote[40].end 152.02409375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 146.50596875
transcript.pyannote[41].end 147.01221875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 148.09221875
transcript.pyannote[42].end 148.21034375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 148.41284375
transcript.pyannote[43].end 148.98659375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 152.83409375
transcript.pyannote[44].end 154.92659375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 155.60159375
transcript.pyannote[45].end 155.61846875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 155.61846875
transcript.pyannote[46].end 157.18784375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 155.63534375
transcript.pyannote[47].end 156.98534375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 157.76159375
transcript.pyannote[48].end 176.03721875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 177.03284375
transcript.pyannote[49].end 177.97784375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 177.97784375
transcript.pyannote[50].end 178.58534375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 179.15909375
transcript.pyannote[51].end 181.43721875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 182.36534375
transcript.pyannote[52].end 183.73221875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 184.35659375
transcript.pyannote[53].end 184.76159375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 185.13284375
transcript.pyannote[54].end 186.28034375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 187.15784375
transcript.pyannote[55].end 195.49409375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 189.79034375
transcript.pyannote[56].end 190.95471875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 196.18596875
transcript.pyannote[57].end 196.23659375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 196.23659375
transcript.pyannote[58].end 196.87784375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 198.53159375
transcript.pyannote[59].end 200.16846875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 200.26971875
transcript.pyannote[60].end 200.79284375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 200.97846875
transcript.pyannote[61].end 202.66596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 203.15534375
transcript.pyannote[62].end 204.74159375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 205.01159375
transcript.pyannote[63].end 211.69409375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 211.77846875
transcript.pyannote[64].end 212.57159375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 213.21284375
transcript.pyannote[65].end 215.38971875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 215.38971875
transcript.pyannote[66].end 215.60909375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 216.82409375
transcript.pyannote[67].end 216.84096875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 216.84096875
transcript.pyannote[68].end 217.97159375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 218.68034375
transcript.pyannote[69].end 219.65909375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 220.04721875
transcript.pyannote[70].end 223.84409375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 224.40096875
transcript.pyannote[71].end 229.83471875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 230.62784375
transcript.pyannote[72].end 232.31534375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 232.97346875
transcript.pyannote[73].end 235.35284375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 235.84221875
transcript.pyannote[74].end 237.34409375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 237.90096875
transcript.pyannote[75].end 239.40284375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 239.72346875
transcript.pyannote[76].end 241.56284375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 241.79909375
transcript.pyannote[77].end 245.02221875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 245.02221875
transcript.pyannote[78].end 245.14034375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 245.14034375
transcript.pyannote[79].end 256.48034375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 256.81784375
transcript.pyannote[80].end 258.67409375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 259.19721875
transcript.pyannote[81].end 260.66534375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 261.15471875
transcript.pyannote[82].end 265.08659375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 262.55534375
transcript.pyannote[83].end 262.99409375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 265.62659375
transcript.pyannote[84].end 267.66846875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 268.03971875
transcript.pyannote[85].end 269.64284375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 270.45284375
transcript.pyannote[86].end 271.22909375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 271.63409375
transcript.pyannote[87].end 272.32596875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 272.96721875
transcript.pyannote[88].end 275.02596875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 275.93721875
transcript.pyannote[89].end 277.37159375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 277.57409375
transcript.pyannote[90].end 277.82721875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 278.48534375
transcript.pyannote[91].end 280.24034375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 280.76346875
transcript.pyannote[92].end 281.55659375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 282.23159375
transcript.pyannote[93].end 283.73346875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 284.29034375
transcript.pyannote[94].end 285.67409375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 285.70784375
transcript.pyannote[95].end 288.32346875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 288.72846875
transcript.pyannote[96].end 290.02784375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 290.68596875
transcript.pyannote[97].end 291.85034375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 292.57596875
transcript.pyannote[98].end 293.67284375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 294.33096875
transcript.pyannote[99].end 295.83284375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 296.08596875
transcript.pyannote[100].end 297.23346875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 297.68909375
transcript.pyannote[101].end 301.31721875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 301.04721875
transcript.pyannote[102].end 306.00846875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 306.22784375
transcript.pyannote[103].end 319.15409375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 307.02096875
transcript.pyannote[104].end 307.30784375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 309.75471875
transcript.pyannote[105].end 310.21034375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 319.54221875
transcript.pyannote[106].end 322.24221875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 322.24221875
transcript.pyannote[107].end 323.06909375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 323.89596875
transcript.pyannote[108].end 323.96346875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 323.96346875
transcript.pyannote[109].end 324.97596875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 325.75221875
transcript.pyannote[110].end 326.83221875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 327.69284375
transcript.pyannote[111].end 328.40159375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 328.57034375
transcript.pyannote[112].end 330.83159375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 331.05096875
transcript.pyannote[113].end 334.94909375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 335.50596875
transcript.pyannote[114].end 336.70409375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 337.36221875
transcript.pyannote[115].end 341.78346875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 342.22221875
transcript.pyannote[116].end 344.98971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 345.36096875
transcript.pyannote[117].end 346.67721875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 346.86284375
transcript.pyannote[118].end 352.92096875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 350.32221875
transcript.pyannote[119].end 350.67659375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 353.05596875
transcript.pyannote[120].end 355.14846875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 355.48596875
transcript.pyannote[121].end 360.04221875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 359.43471875
transcript.pyannote[122].end 367.65284375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 360.48096875
transcript.pyannote[123].end 360.97034375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 367.77096875
transcript.pyannote[124].end 384.51096875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 384.84846875
transcript.pyannote[125].end 385.13534375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 386.02971875
transcript.pyannote[126].end 387.22784375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 388.18971875
transcript.pyannote[127].end 388.98284375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 390.01221875
transcript.pyannote[128].end 391.32846875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 391.86846875
transcript.pyannote[129].end 392.45909375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 392.83034375
transcript.pyannote[130].end 393.42096875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 394.65284375
transcript.pyannote[131].end 396.76221875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 397.92659375
transcript.pyannote[132].end 399.54659375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 399.88409375
transcript.pyannote[133].end 401.90909375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 402.49971875
transcript.pyannote[134].end 403.24221875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 403.39409375
transcript.pyannote[135].end 405.23346875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 405.65534375
transcript.pyannote[136].end 408.22034375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 409.23284375
transcript.pyannote[137].end 410.43096875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 410.85284375
transcript.pyannote[138].end 413.14784375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 413.89034375
transcript.pyannote[139].end 414.66659375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 415.27409375
transcript.pyannote[140].end 419.12159375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 419.45909375
transcript.pyannote[141].end 420.47159375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 421.24784375
transcript.pyannote[142].end 423.27284375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 424.04909375
transcript.pyannote[143].end 426.36096875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 426.39471875
transcript.pyannote[144].end 429.06096875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 429.63471875
transcript.pyannote[145].end 430.27596875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 430.71471875
transcript.pyannote[146].end 433.22909375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 433.60034375
transcript.pyannote[147].end 434.62971875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 435.50721875
transcript.pyannote[148].end 436.95846875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 438.93284375
transcript.pyannote[149].end 440.77221875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 441.34596875
transcript.pyannote[150].end 441.93659375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 442.79721875
transcript.pyannote[151].end 443.26971875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 443.70846875
transcript.pyannote[152].end 446.77971875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 447.79221875
transcript.pyannote[153].end 451.74096875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 452.23034375
transcript.pyannote[154].end 453.05721875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 453.85034375
transcript.pyannote[155].end 455.03159375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 456.04409375
transcript.pyannote[156].end 456.56721875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 457.44471875
transcript.pyannote[157].end 460.06034375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 460.68471875
transcript.pyannote[158].end 461.79846875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 462.74346875
transcript.pyannote[159].end 470.06721875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 467.82284375
transcript.pyannote[160].end 469.89846875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 470.55659375
transcript.pyannote[161].end 471.68721875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 472.05846875
transcript.pyannote[162].end 475.01159375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 475.63596875
transcript.pyannote[163].end 477.84659375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 478.43721875
transcript.pyannote[164].end 479.58471875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 480.32721875
transcript.pyannote[165].end 481.45784375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 482.09909375
transcript.pyannote[166].end 483.24659375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 483.90471875
transcript.pyannote[167].end 487.17846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 487.85346875
transcript.pyannote[168].end 488.46096875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 488.95034375
transcript.pyannote[169].end 490.53659375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 490.77284375
transcript.pyannote[170].end 493.54034375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 493.94534375
transcript.pyannote[171].end 495.75096875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 496.49346875
transcript.pyannote[172].end 498.04596875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 498.23159375
transcript.pyannote[173].end 498.60284375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 499.26096875
transcript.pyannote[174].end 500.03721875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 500.49284375
transcript.pyannote[175].end 502.04534375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 502.66971875
transcript.pyannote[176].end 504.03659375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 505.31909375
transcript.pyannote[177].end 506.66909375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 507.51284375
transcript.pyannote[178].end 508.25534375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 508.89659375
transcript.pyannote[179].end 510.44909375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 511.07346875
transcript.pyannote[180].end 511.59659375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 511.71471875
transcript.pyannote[181].end 512.65971875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 513.40221875
transcript.pyannote[182].end 515.00534375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 515.46096875
transcript.pyannote[183].end 516.43971875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 516.89534375
transcript.pyannote[184].end 520.35471875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 520.64159375
transcript.pyannote[185].end 525.18096875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 525.18096875
transcript.pyannote[186].end 525.38346875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 526.05846875
transcript.pyannote[187].end 535.27221875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 535.27221875
transcript.pyannote[188].end 535.59284375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 535.93034375
transcript.pyannote[189].end 538.68096875
transcript.whisperx[0].start 12.802
transcript.whisperx[0].end 39.62
transcript.whisperx[0].text 主席、各位、有請主委。來,部長。請農業部陳部長。你好。這個,針對花蓮,因為地震,地震,0403地震,加上凱米颱風,再加上不斷的移震,不斷的移震,
transcript.whisperx[1].start 41.048
transcript.whisperx[1].end 57.851
transcript.whisperx[1].text 造成這個道路不論是公路、蘇華公路還有北威鐵路一再的不通所以為了災禍的振興農業部7月1號推出這個250元的花蓮農產品的優惠券當時這個規劃是這樣
transcript.whisperx[2].start 66.82
transcript.whisperx[2].end 94.195
transcript.whisperx[2].text 然後整個經費當初是1.83億那預計7月1號發行當然隨著相關的這些整個災情整個交通然後加上最近的最近的颱風也都造成了很大的影響請教一下這個部長
transcript.whisperx[3].start 95.441
transcript.whisperx[3].end 108.193
transcript.whisperx[3].text 目前這個時勢的狀況怎麼樣我跟委員報告就是0403以後我們為了振興花蓮的這些農產品能夠順利的能夠吸引外地人來買那我們規劃的那個農粉券的部分大概預計是70萬張
transcript.whisperx[4].start 110.695
transcript.whisperx[4].end 138.314
transcript.whisperx[4].text 那到目前為止已經大概使用了大概40萬張左右啦44萬張左右所以這個部分我們執行率大概六成到七成然後我們也因為0403以後交通又陸續的就中斷過嘛所以我們也考慮把農粉券這個日期齁能夠特別是第二類的齁從電商平台那邊去購買花蓮產品的部分能夠延到大概11月或12月的部分我們會視情況而定
transcript.whisperx[5].start 140.611
transcript.whisperx[5].end 145.774
transcript.whisperx[5].text 呃部長齁40本來是議定多少70萬張70萬現在是40萬齁44萬那如果這7分在花蓮
transcript.whisperx[6].start 153.224
transcript.whisperx[6].end 180.373
transcript.whisperx[6].text 實用的跟在我們這樣分以外的第一類我們分兩類一類就是你要人要到花蓮然後7天之內買第二類就是說你在電商平台買花蓮的農產品那大概有將近39萬到40萬是到花蓮的然後剩下大概4萬左右是用第二類的就是電商平台的好這個部分所以當初你們原來那個
transcript.whisperx[7].start 182.421
transcript.whisperx[7].end 185.78
transcript.whisperx[7].text 有定期限嗎那個有什麼我是說那個
transcript.whisperx[8].start 190.098
transcript.whisperx[8].end 214.47
transcript.whisperx[8].text 農粉券農粉幣農粉幣裡面會有期限嗎應該這麼講本來有一定的期限要11月吧現在可能會延到12月但是你第一類的就是你到了花蓮觀光有沒有你去買的時候你要7天之內要用完因為我們鼓勵他在地消費
transcript.whisperx[9].start 217.373
transcript.whisperx[9].end 231.27
transcript.whisperx[9].text 這個部分這個時間的一個關係就是說整個本來要去消費的結果確實沒有嘛因為交通中斷了就沒有去這是一種狀況
transcript.whisperx[10].start 233.258
transcript.whisperx[10].end 258.074
transcript.whisperx[10].text 所以這個部分要請農業部隨時看這個整個執行的狀況能夠做彈性的調整上次我在這邊也有提到執行的時候也有提到所以當初你們也同意隨機應變這個部分怎麼樣能夠真正落實
transcript.whisperx[11].start 259.695
transcript.whisperx[11].end 276.807
transcript.whisperx[11].text 能夠去最好,我們鼓勵去,現在很多的團體包括觀光署他們也鼓勵能夠去當然我們農業部其實有很多的附屬機關有在花蓮
transcript.whisperx[12].start 280.799
transcript.whisperx[12].end 289.542
transcript.whisperx[12].text 有在臺東其實你們可以相關的交通部也在鼓勵各位相關的會議現在這個
transcript.whisperx[13].start 294.326
transcript.whisperx[13].end 294.486
transcript.whisperx[13].text 好,非常感謝。
transcript.whisperx[14].start 323.936
transcript.whisperx[14].end 336.134
transcript.whisperx[14].text 好接下來這個有關這個農業部的報告裡面有提到這個農民退休儲金上次我也提到怎麼樣去加強
transcript.whisperx[15].start 337.421
transcript.whisperx[15].end 354.057
transcript.whisperx[15].text 原住民的部分你們也願意去加強去先導農民退休除菌因為原住民的這個退休申請提交的只有5.7%這個比例是相對的非常低這個部分這個要請
transcript.whisperx[16].start 355.538
transcript.whisperx[16].end 355.758
transcript.whisperx[16].text 委員會主席
transcript.whisperx[17].start 386.118
transcript.whisperx[17].end 407.092
transcript.whisperx[17].text 最後的這個部分這個有關最近114年度的總預算之所以在立法院在這期委員會停留在那邊就是因為原住民的進法補償
transcript.whisperx[18].start 410.082
transcript.whisperx[18].end 436.124
transcript.whisperx[18].text 2001年英國的生態經濟學博士提爾斯說一個岩石林的碳匯價值一公頃是2000美金這個是2001年說的2000美金就差不多6萬塊台幣6萬多了6萬多了台幣現在已經20幾年了所以但不止所以這個部分我們在這個
transcript.whisperx[19].start 438.951
transcript.whisperx[19].end 461.212
transcript.whisperx[19].text 碳費的,前幾天環境部估算每年一季將有60億元的碳費收入當然本來不止啦,但是他們這次壓得很低啦,只有60億而這些經費本來我們原住民的立委,我本席也想替這個
transcript.whisperx[20].start 462.993
transcript.whisperx[20].end 486.663
transcript.whisperx[20].text 原民會本來應該是農業部要編的一算 森林法院是你們的主管機關我本來想說其他的像燙廢也可以投入在這個部分 但是很可惜本席在上一屆提出條文修正的時候沒有通過
transcript.whisperx[21].start 487.935
transcript.whisperx[21].end 510.126
transcript.whisperx[21].text 未來會再修氣候因應變遷法的相關法案也請農業部到時候要去跟環境部協調說明而確實是整個森林原住民就是守護這個森林
transcript.whisperx[22].start 513.404
transcript.whisperx[22].end 513.424
transcript.whisperx[22].text 謝謝鄭天財
會議時間 2024-10-09T09:00:00+08:00
委員發言時間 11:29:15 - 11:38:14
會議名稱 立法院第11屆第2會期經濟委員會第4次全體委員會議(事由:邀請農業部部長列席報告業務概況,並備質詢。)
gazette.lineno 784
gazette.blocks[0][0] 鄭天財Sra Kacaw委員:(11時29分)主席、各位委員。有請部長。
gazette.blocks[1][0] 主席:請農業部陳部長。
gazette.blocks[2][0] 陳部長駿季:委員好。
gazette.blocks[3][0] 鄭天財Sra Kacaw委員:部長好。針對花蓮因為0403地震,加上凱米颱風,再加上不斷地餘震,造成道路,不論是蘇花公路還是北迴鐵路都一再地不通,所以為了災後的振興,農業部7月1日推出250元的花蓮農產品優惠券,當時的規劃是這樣,整個經費是1.83億,預計7月1日發行。當然隨著相關的災情,加上最近的颱風,對整個交通也造成了很大的影響,請教一下部長,目前實施的狀況怎麼樣?
gazette.blocks[4][0] 陳部長駿季:我跟委員報告,0403以後,我們為了振興花蓮的這些農產品能夠順利地吸引外地人來買,我們規劃的農粉券預計是70萬張,到目前為止,已使用了44萬張左右,所以這個部分的執行率大概六成到七成。因為0403以後交通又陸續地中斷過,所以我們也考慮把農粉券的日期,特別是第二類的,從電商平臺那邊去購買花蓮產品的部分,能夠延到大概11月或12月,我們會視情況而定。
gazette.blocks[5][0] 鄭天財Sra Kacaw委員:部長,本來是預定多少?
gazette.blocks[6][0] 陳部長駿季:70萬張。
gazette.blocks[7][0] 鄭天財Sra Kacaw委員:70萬,現在是40萬。
gazette.blocks[8][0] 陳部長駿季:44萬。
gazette.blocks[9][0] 鄭天財Sra Kacaw委員:如果去區分在花蓮使用的,跟在花蓮以外的……
gazette.blocks[10][0] 陳部長駿季:我們是這樣分,我們分兩類,一類就是你人要到花蓮,然後7天之內買;第二類就是你在電商平臺買花蓮的農產品。大概有39萬到40萬是到花蓮的,剩下大概4萬左右是用第二類的,就是電商平臺的。
gazette.blocks[11][0] 鄭天財Sra Kacaw委員:所以當初你們有訂期限嗎?
gazette.blocks[12][0] 陳部長駿季:有什麼?
gazette.blocks[13][0] 鄭天財Sra Kacaw委員:我是說,現在名稱改成農粉券,是吧?
gazette.blocks[14][0] 陳部長駿季:農粉券。
gazette.blocks[15][0] 鄭天財Sra Kacaw委員:農粉幣啦!
gazette.blocks[16][0] 陳部長駿季:對。
gazette.blocks[17][0] 鄭天財Sra Kacaw委員:農粉幣裡面會有期限嗎?
gazette.blocks[18][0] 陳部長駿季:應該這麼講,本來有一定的期限,到11月,現在可能會延到12月,但是第一類的,就是你到了花蓮觀光,你去買的時候,你要7天之內用完,因為我們鼓勵他在地消費。
gazette.blocks[19][0] 鄭天財Sra Kacaw委員:這個部分因為時間的關係,就是本來要去消費的,結果卻是沒有嘛!因為交通中斷就沒有去,這是一種狀況,所以這個部分要請農業部隨時看整個執行的狀況,能夠做彈性的調整。
gazette.blocks[20][0] 陳部長駿季:會。
gazette.blocks[21][0] 鄭天財Sra Kacaw委員:上次我在這邊質詢的時候也有提到,當初你們也同意隨機應變,這個部分怎麼樣能夠真正落實,能夠去是最好,我們鼓勵去嘛!
gazette.blocks[22][0] 陳部長駿季:是。
gazette.blocks[23][0] 鄭天財Sra Kacaw委員:現在很多的團體,包括觀光署,他們也鼓勵能夠去花蓮,當然我們農業部有很多的附屬機關,有在花蓮的,有在臺東的,其實你們可以在那裡舉辦相關的會議,交通部也在鼓勵各部會嘛!現在這個時候比較不會有颱風了,交通基本上也會比較安全。
gazette.blocks[24][0] 陳部長駿季:我跟委員報告,像農業部的擴大主管會報就拉到花蓮去辦了,然後我們也鼓勵……
gazette.blocks[25][0] 鄭天財Sra Kacaw委員:已經辦了嗎?
gazette.blocks[26][0] 陳部長駿季:已經辦啦!
gazette.blocks[27][0] 鄭天財Sra Kacaw委員:已經辦了。
gazette.blocks[28][0] 陳部長駿季:我們大概有八、九十個人,然後我們也鼓勵我們所屬單位的相關會議,特別是主管會報的時候,趁這個機會拉到花蓮去辦,這個我們會落實。
gazette.blocks[29][0] 鄭天財Sra Kacaw委員:好,非常感謝。
gazette.blocks[29][1] 接下來,有關農業部的報告裡面提到農民退休儲金,上次我也提到怎麼樣去加強原住民的部分,你們也願意去加強宣導農民退休儲金,因為原住民申請提繳的只有5.7%,這個比例相對是非常低的,這個部分要請農業部能夠持續地去……
gazette.blocks[30][0] 陳部長駿季:我跟委員說明,上次委員質詢過以後,我們就跟原民會這邊去討論,把它相關的資料跟我們這個做勾稽,我們未來會透過改良場這邊,因為我們改良場有一個原民的專門計畫去鼓勵,特別是年輕人如果願意在原民部落去從事農業的時候,他更應該去參加農民儲金,我們會用更大的力量去做宣導。
gazette.blocks[31][0] 鄭天財Sra Kacaw委員:最後,有關最近114年度的總預算之所以會停留在立法院的程序委員會,就是因為原住民的禁伐補償,2001年英國的生態經濟學博士皮爾斯說,一個原始林的碳匯價值1公頃是2,000美金,這個是2001年說的喔!2,000美金差不多是6萬元臺幣,六萬多的臺幣,現在已經二十幾年了,所以它不只啦!
gazette.blocks[31][1] 前幾天環境部估算每年預計將有60億元的碳費收入,當然本來不只,但是他們這一次壓得很低,只有60億。而這些經費,本來我們原住民的立委,本席也想替原民會爭取,本來應該是農業部要編的預算,你們是森林法的主管機關。
gazette.blocks[32][0] 陳部長駿季:這是兩件不一樣的事情。
gazette.blocks[33][0] 鄭天財Sra Kacaw委員:現在是原民會編嘛!我本來想說碳費也可以投入在這個部分,但是很可惜,本席在上一屆提出條文修正的時候沒有通過。未來會再修氣候變遷因應法相關的法案,也請農業部到時候能夠去跟環境部協調,能夠去說明,整個森林確實就是原住民在守護,怎麼樣能夠把整個國家的政策,尤其是碳費也能夠投入到這個部分,就可以減少很多公務預算的相關支出,這個我們一起努力,好不好?
gazette.blocks[34][0] 陳部長駿季:好,我們再來看看用什麼方法,整個森林如果是在造林的部分、在撫育的部分,我想農業部都能夠來協助。
gazette.blocks[35][0] 鄭天財Sra Kacaw委員:對。好,謝謝。
gazette.blocks[36][0] 主席:謝謝鄭天財委員非常精準有效率的質詢,部長請回座。
gazette.blocks[36][1] 下一位請賴瑞隆委員質詢。
gazette.agenda.page_end 294
gazette.agenda.meet_id 委員會-11-2-19-4
gazette.agenda.speakers[0] 邱志偉
gazette.agenda.speakers[1] 林岱樺
gazette.agenda.speakers[2] 邱議瑩
gazette.agenda.speakers[3] 呂玉玲
gazette.agenda.speakers[4] 張嘉郡
gazette.agenda.speakers[5] 張啓楷
gazette.agenda.speakers[6] 鄭正鈐
gazette.agenda.speakers[7] 陳亭妃
gazette.agenda.speakers[8] 楊瓊瓔
gazette.agenda.speakers[9] 陳超明
gazette.agenda.speakers[10] 蔡易餘
gazette.agenda.speakers[11] 鄭天財Sra Kacaw
gazette.agenda.speakers[12] 賴瑞隆
gazette.agenda.speakers[13] 王育敏
gazette.agenda.speakers[14] 黃建賓
gazette.agenda.speakers[15] 鍾佳濱
gazette.agenda.speakers[16] 謝衣鳯
gazette.agenda.speakers[17] 洪孟楷
gazette.agenda.speakers[18] 徐富癸
gazette.agenda.speakers[19] 麥玉珍
gazette.agenda.speakers[20] 張雅琳
gazette.agenda.speakers[21] 羅智強
gazette.agenda.speakers[22] 伍麗華Saidhai‧Tahovecahe
gazette.agenda.speakers[23] 陳冠廷
gazette.agenda.speakers[24] 劉建國
gazette.agenda.page_start 229
gazette.agenda.meetingDate[0] 2024-10-09
gazette.agenda.gazette_id 1138101
gazette.agenda.agenda_lcidc_ids[0] 1138101_00010
gazette.agenda.meet_name 立法院第11屆第2會期經濟委員會第4次全體委員會議紀錄
gazette.agenda.content 邀請農業部部長列席報告業務概況,並備質詢
gazette.agenda.agenda_id 1138101_00015
IVOD_ID 155314
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/155314
日期 2024-10-09
會議資料.會議代碼 委員會-11-2-19-4
會議資料.屆 11
會議資料.會期 2
會議資料.會次 4
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.標題 第11屆第2會期經濟委員會第4次全體委員會議
影片種類 Clip
開始時間 2024-10-09T11:29:15+08:00
結束時間 2024-10-09T11:38:14+08:00
支援功能[0] ai-transcript
支援功能[1] gazette