iVOD / 157269

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/fc78d56ce4a637521c207c389fd1383b7f9c834d54a4e02c19764a0ef6fec39b3b8468cd18c255a85ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張啓楷
委員發言時間 09:41:16 - 09:51:05
影片長度 589
會議時間 2024-11-21T09:00:00+08:00
會議名稱 立法院第11屆第2會期經濟委員會第16次全體委員會議(事由:一、審查114年度中央政府總預算案關於行政院歲入預算第5款第1項第2目暨國家發展委員會及所屬單位預算部分。 二、審查114年度中央政府總預算案附屬單位預算非營業部分關於行政院主管:行政院國家發展基金、離島建設基金、花東地區永續發展基金及促進轉型正義基金。(詢答))
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.65534375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 2.03909375
transcript.pyannote[1].end 2.20784375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 21.69846875
transcript.pyannote[2].end 22.57596875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 23.60534375
transcript.pyannote[3].end 25.25909375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 31.40159375
transcript.pyannote[4].end 32.27909375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 32.68409375
transcript.pyannote[5].end 39.19784375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 39.50159375
transcript.pyannote[6].end 40.41284375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 41.03721875
transcript.pyannote[7].end 43.36596875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 44.47971875
transcript.pyannote[8].end 44.95221875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 45.42471875
transcript.pyannote[9].end 46.43721875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 46.52159375
transcript.pyannote[10].end 49.03596875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 49.52534375
transcript.pyannote[11].end 49.84596875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 49.67721875
transcript.pyannote[12].end 51.61784375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 52.10721875
transcript.pyannote[13].end 52.39409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 52.49534375
transcript.pyannote[14].end 53.44034375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 54.13221875
transcript.pyannote[15].end 55.43159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 56.42721875
transcript.pyannote[16].end 57.37221875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 57.59159375
transcript.pyannote[17].end 58.95846875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 59.24534375
transcript.pyannote[18].end 60.76409375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 60.98346875
transcript.pyannote[19].end 63.34596875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 61.20284375
transcript.pyannote[20].end 61.21971875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 63.78471875
transcript.pyannote[21].end 66.01221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 66.55221875
transcript.pyannote[22].end 68.07096875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 69.35346875
transcript.pyannote[23].end 69.96096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 70.11284375
transcript.pyannote[24].end 72.23909375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 72.50909375
transcript.pyannote[25].end 73.70721875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 74.87159375
transcript.pyannote[26].end 75.37784375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 75.47909375
transcript.pyannote[27].end 76.76159375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 78.55034375
transcript.pyannote[28].end 79.07346875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 79.49534375
transcript.pyannote[29].end 81.46971875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 82.49909375
transcript.pyannote[30].end 86.41409375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 86.80221875
transcript.pyannote[31].end 87.44346875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 87.44346875
transcript.pyannote[32].end 89.36721875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 89.89034375
transcript.pyannote[33].end 90.58221875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 90.98721875
transcript.pyannote[34].end 92.35409375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 91.12221875
transcript.pyannote[35].end 92.20221875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 93.26534375
transcript.pyannote[36].end 94.48034375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 96.18471875
transcript.pyannote[37].end 96.42096875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 96.58971875
transcript.pyannote[38].end 98.66534375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 99.54284375
transcript.pyannote[39].end 107.40659375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 108.77346875
transcript.pyannote[40].end 111.03471875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 111.03471875
transcript.pyannote[41].end 111.28784375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 111.28784375
transcript.pyannote[42].end 111.30471875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 111.65909375
transcript.pyannote[43].end 111.69284375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 111.69284375
transcript.pyannote[44].end 111.91221875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 111.91221875
transcript.pyannote[45].end 112.90784375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 111.92909375
transcript.pyannote[46].end 115.79346875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 116.56971875
transcript.pyannote[47].end 117.17721875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 117.54846875
transcript.pyannote[48].end 118.86471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 118.96596875
transcript.pyannote[49].end 120.06284375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 120.06284375
transcript.pyannote[50].end 120.07971875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 120.65346875
transcript.pyannote[51].end 120.67034375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 120.67034375
transcript.pyannote[52].end 121.53096875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 122.45909375
transcript.pyannote[53].end 122.69534375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 124.04534375
transcript.pyannote[54].end 127.33596875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 126.28971875
transcript.pyannote[55].end 127.28534375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 127.33596875
transcript.pyannote[56].end 130.10346875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 127.65659375
transcript.pyannote[57].end 128.68596875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 130.10346875
transcript.pyannote[58].end 130.44096875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 130.44096875
transcript.pyannote[59].end 132.02721875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 132.02721875
transcript.pyannote[60].end 132.28034375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 132.28034375
transcript.pyannote[61].end 132.36471875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 132.38159375
transcript.pyannote[62].end 135.26721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 136.09409375
transcript.pyannote[63].end 136.49909375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 137.44409375
transcript.pyannote[64].end 141.51096875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 142.13534375
transcript.pyannote[65].end 143.21534375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 144.46409375
transcript.pyannote[66].end 145.51034375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 146.32034375
transcript.pyannote[67].end 149.10471875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 149.76284375
transcript.pyannote[68].end 153.15471875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 153.74534375
transcript.pyannote[69].end 158.40284375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 158.58846875
transcript.pyannote[70].end 159.56721875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 160.42784375
transcript.pyannote[71].end 163.53284375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 164.17409375
transcript.pyannote[72].end 166.46909375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 167.49846875
transcript.pyannote[73].end 168.84846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 169.30409375
transcript.pyannote[74].end 172.05471875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 172.83096875
transcript.pyannote[75].end 173.69159375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 173.97846875
transcript.pyannote[76].end 175.48034375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 175.53096875
transcript.pyannote[77].end 177.01596875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 177.35346875
transcript.pyannote[78].end 179.04096875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 180.23909375
transcript.pyannote[79].end 182.28096875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 181.79159375
transcript.pyannote[80].end 187.73159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 186.41534375
transcript.pyannote[81].end 190.56659375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 190.71846875
transcript.pyannote[82].end 191.54534375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 191.88284375
transcript.pyannote[83].end 192.79409375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 193.08096875
transcript.pyannote[84].end 193.77284375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 193.77284375
transcript.pyannote[85].end 196.60784375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 194.17784375
transcript.pyannote[86].end 195.57846875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 196.60784375
transcript.pyannote[87].end 196.81034375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 196.81034375
transcript.pyannote[88].end 197.29971875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 197.29971875
transcript.pyannote[89].end 197.40096875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 197.63721875
transcript.pyannote[90].end 197.97471875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 197.97471875
transcript.pyannote[91].end 198.02534375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 198.02534375
transcript.pyannote[92].end 198.97034375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 198.97034375
transcript.pyannote[93].end 199.03784375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 199.03784375
transcript.pyannote[94].end 199.47659375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 199.47659375
transcript.pyannote[95].end 199.51034375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 199.51034375
transcript.pyannote[96].end 199.52721875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 199.52721875
transcript.pyannote[97].end 207.54284375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 199.54409375
transcript.pyannote[98].end 200.06721875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 205.46721875
transcript.pyannote[99].end 206.53034375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 207.86346875
transcript.pyannote[100].end 208.92659375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 209.06159375
transcript.pyannote[101].end 210.85034375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 210.85034375
transcript.pyannote[102].end 214.61346875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 215.10284375
transcript.pyannote[103].end 215.20409375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 215.20409375
transcript.pyannote[104].end 215.32221875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 215.32221875
transcript.pyannote[105].end 215.38971875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 216.06471875
transcript.pyannote[106].end 219.64221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 219.96284375
transcript.pyannote[107].end 224.56971875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 220.33409375
transcript.pyannote[108].end 220.99221875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 224.65409375
transcript.pyannote[109].end 230.05409375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 230.76284375
transcript.pyannote[110].end 231.80909375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 232.31534375
transcript.pyannote[111].end 234.52596875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 235.47096875
transcript.pyannote[112].end 236.70284375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 237.85034375
transcript.pyannote[113].end 239.23409375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 240.93846875
transcript.pyannote[114].end 241.34346875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 241.59659375
transcript.pyannote[115].end 242.82846875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 242.96346875
transcript.pyannote[116].end 243.85784375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 244.53284375
transcript.pyannote[117].end 244.93784375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 245.91659375
transcript.pyannote[118].end 247.33409375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 246.10221875
transcript.pyannote[119].end 246.32159375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 247.63784375
transcript.pyannote[120].end 248.85284375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 249.24096875
transcript.pyannote[121].end 251.45159375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 251.77221875
transcript.pyannote[122].end 253.96596875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 254.21909375
transcript.pyannote[123].end 255.09659375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 255.24846875
transcript.pyannote[124].end 258.10034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 258.48846875
transcript.pyannote[125].end 259.78784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 262.01534375
transcript.pyannote[126].end 269.10284375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 269.57534375
transcript.pyannote[127].end 272.19096875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 273.82784375
transcript.pyannote[128].end 276.78096875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 276.37596875
transcript.pyannote[129].end 277.42221875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 276.78096875
transcript.pyannote[130].end 276.79784375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 278.31659375
transcript.pyannote[131].end 279.02534375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 279.61596875
transcript.pyannote[132].end 281.15159375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 281.28659375
transcript.pyannote[133].end 292.87971875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 281.37096875
transcript.pyannote[134].end 281.42159375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 281.42159375
transcript.pyannote[135].end 282.29909375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 283.68284375
transcript.pyannote[136].end 284.15534375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 284.44221875
transcript.pyannote[137].end 284.81346875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 290.02784375
transcript.pyannote[138].end 291.78284375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 292.35659375
transcript.pyannote[139].end 292.39034375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 292.87971875
transcript.pyannote[140].end 292.96409375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 292.96409375
transcript.pyannote[141].end 293.03159375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 293.03159375
transcript.pyannote[142].end 293.18346875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 293.18346875
transcript.pyannote[143].end 294.02721875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 294.02721875
transcript.pyannote[144].end 295.79909375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 294.34784375
transcript.pyannote[145].end 294.49971875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 294.49971875
transcript.pyannote[146].end 296.00159375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 296.50784375
transcript.pyannote[147].end 302.51534375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 302.83596875
transcript.pyannote[148].end 304.72596875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 304.96221875
transcript.pyannote[149].end 305.99159375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 306.17721875
transcript.pyannote[150].end 306.56534375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 306.48096875
transcript.pyannote[151].end 308.25284375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 308.55659375
transcript.pyannote[152].end 309.82221875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 310.85159375
transcript.pyannote[153].end 312.67409375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 315.10409375
transcript.pyannote[154].end 315.82971875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 316.47096875
transcript.pyannote[155].end 317.98971875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 319.32284375
transcript.pyannote[156].end 319.82909375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 320.16659375
transcript.pyannote[157].end 320.38596875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 320.77409375
transcript.pyannote[158].end 323.32221875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 324.41909375
transcript.pyannote[159].end 326.76471875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 327.01784375
transcript.pyannote[160].end 327.03471875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 327.05159375
transcript.pyannote[161].end 328.87409375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 329.16096875
transcript.pyannote[162].end 330.64596875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 331.25346875
transcript.pyannote[163].end 331.55721875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 332.13096875
transcript.pyannote[164].end 334.52721875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 336.21471875
transcript.pyannote[165].end 339.60659375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 340.48409375
transcript.pyannote[166].end 340.63596875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 340.63596875
transcript.pyannote[167].end 342.47534375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 343.23471875
transcript.pyannote[168].end 344.80409375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 345.14159375
transcript.pyannote[169].end 347.57159375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 348.19596875
transcript.pyannote[170].end 348.92159375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 349.68096875
transcript.pyannote[171].end 350.92971875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 352.66784375
transcript.pyannote[172].end 357.17346875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 357.74721875
transcript.pyannote[173].end 358.67534375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 358.15221875
transcript.pyannote[174].end 358.21971875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 358.23659375
transcript.pyannote[175].end 358.35471875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 358.67534375
transcript.pyannote[176].end 358.70909375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 358.79346875
transcript.pyannote[177].end 359.09721875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 359.26596875
transcript.pyannote[178].end 361.07159375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 362.25284375
transcript.pyannote[179].end 364.12596875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 365.25659375
transcript.pyannote[180].end 366.30284375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 366.72471875
transcript.pyannote[181].end 367.97346875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 368.63159375
transcript.pyannote[182].end 370.43721875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 371.19659375
transcript.pyannote[183].end 372.64784375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 373.84596875
transcript.pyannote[184].end 377.38971875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 377.86221875
transcript.pyannote[185].end 379.12784375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 379.75221875
transcript.pyannote[186].end 380.57909375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 381.57471875
transcript.pyannote[187].end 386.41784375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 386.48534375
transcript.pyannote[188].end 388.34159375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 388.84784375
transcript.pyannote[189].end 391.32846875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 392.67846875
transcript.pyannote[190].end 393.55596875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 394.34909375
transcript.pyannote[191].end 395.37846875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 395.61471875
transcript.pyannote[192].end 398.12909375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 398.38221875
transcript.pyannote[193].end 398.41596875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 398.41596875
transcript.pyannote[194].end 399.00659375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 399.39471875
transcript.pyannote[195].end 401.11596875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 401.90909375
transcript.pyannote[196].end 402.56721875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 403.29284375
transcript.pyannote[197].end 404.60909375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 404.96346875
transcript.pyannote[198].end 405.03096875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 406.36409375
transcript.pyannote[199].end 407.73096875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 408.50721875
transcript.pyannote[200].end 408.89534375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 409.28346875
transcript.pyannote[201].end 409.51971875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 409.97534375
transcript.pyannote[202].end 412.43909375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 412.92846875
transcript.pyannote[203].end 414.53159375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 414.81846875
transcript.pyannote[204].end 416.45534375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 417.07971875
transcript.pyannote[205].end 420.69096875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 422.20971875
transcript.pyannote[206].end 422.85096875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 424.03221875
transcript.pyannote[207].end 424.74096875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 425.53409375
transcript.pyannote[208].end 429.55034375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 430.09034375
transcript.pyannote[209].end 431.57534375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 432.06471875
transcript.pyannote[210].end 432.84096875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 434.19096875
transcript.pyannote[211].end 440.28284375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 440.80596875
transcript.pyannote[212].end 441.85221875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 442.03784375
transcript.pyannote[213].end 445.56471875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 445.78409375
transcript.pyannote[214].end 446.67846875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 447.75846875
transcript.pyannote[215].end 449.32784375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 450.25596875
transcript.pyannote[216].end 451.97721875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 452.43284375
transcript.pyannote[217].end 453.20909375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 453.52971875
transcript.pyannote[218].end 454.67721875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 457.52909375
transcript.pyannote[219].end 460.63409375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 460.85346875
transcript.pyannote[220].end 461.81534375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 462.50721875
transcript.pyannote[221].end 464.07659375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 464.24534375
transcript.pyannote[222].end 465.17346875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 466.45596875
transcript.pyannote[223].end 466.97909375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 467.75534375
transcript.pyannote[224].end 469.49346875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 469.93221875
transcript.pyannote[225].end 470.32034375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 470.53971875
transcript.pyannote[226].end 472.24409375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 472.46346875
transcript.pyannote[227].end 472.85159375
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 472.96971875
transcript.pyannote[228].end 474.37034375
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 474.58971875
transcript.pyannote[229].end 475.04534375
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 474.99471875
transcript.pyannote[230].end 476.20971875
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 476.27721875
transcript.pyannote[231].end 476.61471875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 476.61471875
transcript.pyannote[232].end 481.74471875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 481.94721875
transcript.pyannote[233].end 482.74034375
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 482.74034375
transcript.pyannote[234].end 484.15784375
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 484.37721875
transcript.pyannote[235].end 484.71471875
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 485.40659375
transcript.pyannote[236].end 486.60471875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 487.87034375
transcript.pyannote[237].end 489.64221875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 491.65034375
transcript.pyannote[238].end 492.51096875
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 492.57846875
transcript.pyannote[239].end 493.69221875
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 494.43471875
transcript.pyannote[240].end 495.80159375
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 496.13909375
transcript.pyannote[241].end 496.54409375
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 497.37096875
transcript.pyannote[242].end 500.02034375
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 500.40846875
transcript.pyannote[243].end 501.08346875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 501.91034375
transcript.pyannote[244].end 504.22221875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 505.11659375
transcript.pyannote[245].end 506.46659375
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 509.09909375
transcript.pyannote[246].end 511.66409375
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 512.49096875
transcript.pyannote[247].end 514.90409375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 513.50346875
transcript.pyannote[248].end 513.87471875
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 513.87471875
transcript.pyannote[249].end 513.90846875
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 513.90846875
transcript.pyannote[250].end 514.09409375
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 515.44409375
transcript.pyannote[251].end 516.59159375
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 516.70971875
transcript.pyannote[252].end 516.97971875
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 517.48596875
transcript.pyannote[253].end 518.98784375
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 520.28721875
transcript.pyannote[254].end 521.99159375
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 522.46409375
transcript.pyannote[255].end 523.74659375
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 525.19784375
transcript.pyannote[256].end 526.09221875
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 527.66159375
transcript.pyannote[257].end 528.21846875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 528.67409375
transcript.pyannote[258].end 529.60221875
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 529.92284375
transcript.pyannote[259].end 533.29784375
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 534.09096875
transcript.pyannote[260].end 534.71534375
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 534.98534375
transcript.pyannote[261].end 535.27221875
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 535.27221875
transcript.pyannote[262].end 540.16596875
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 540.53721875
transcript.pyannote[263].end 542.14034375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 542.24159375
transcript.pyannote[264].end 542.57909375
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 543.15284375
transcript.pyannote[265].end 543.96284375
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 543.18659375
transcript.pyannote[266].end 543.92909375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 543.96284375
transcript.pyannote[267].end 544.03034375
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 544.03034375
transcript.pyannote[268].end 544.99221875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 544.99221875
transcript.pyannote[269].end 545.16096875
transcript.pyannote[270].speaker SPEAKER_00
transcript.pyannote[270].start 545.16096875
transcript.pyannote[270].end 549.75096875
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 549.98721875
transcript.pyannote[271].end 551.60721875
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 552.11346875
transcript.pyannote[272].end 553.95284375
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 555.01596875
transcript.pyannote[273].end 556.19721875
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 556.80471875
transcript.pyannote[274].end 558.00284375
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 556.97346875
transcript.pyannote[275].end 558.18846875
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 558.05346875
transcript.pyannote[276].end 562.96409375
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 559.47096875
transcript.pyannote[277].end 560.87159375
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 562.96409375
transcript.pyannote[278].end 574.16909375
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 570.69284375
transcript.pyannote[279].end 583.36596875
transcript.pyannote[280].speaker SPEAKER_00
transcript.pyannote[280].start 583.51784375
transcript.pyannote[280].end 585.12096875
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 585.18846875
transcript.pyannote[281].end 588.96846875
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 585.93096875
transcript.pyannote[282].end 585.98159375
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 586.08284375
transcript.pyannote[283].end 586.35284375
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 588.49596875
transcript.pyannote[284].end 588.73221875
transcript.whisperx[0].start 0.029
transcript.whisperx[0].end 0.309
transcript.whisperx[0].text 請開會請到這位請國會留主委
transcript.whisperx[1].start 32.931
transcript.whisperx[1].end 55.058
transcript.whisperx[1].text 張委員早注意COP29張開會氣象方會公佈氣象變遷的績效指標你有看到嗎?64個國家跟地區臺灣排名第60比去年有進步1名啦!也不要去調查不會更嚴重的淨零碳排這一塊都在後段班我很沒品數的嗎?
transcript.whisperx[2].start 57.019
transcript.whisperx[2].end 76.249
transcript.whisperx[2].text 臺灣這麼進步啊淨寧坦白話要過啊越寒越臭越退步國際上已經聯繫好幾年都打我們的嘴巴了來我更今天要更直接跟你跟你討論我去看你的預算書啊淨寧公正轉型的預算你每個編了要用人民納稅錢1億198萬結果現在怎麼樣連那個目標都訂不出來了嗎
transcript.whisperx[3].start 82.78
transcript.whisperx[3].end 107.108
transcript.whisperx[3].text 一百一十二年跟一百一十三年都有啊,為什麼在一百一十四年?為什麼?我現在看不到你的目標值。你現在是怎樣?連目標都訂不出來了。一路走路倒退路以後。我們明年是編一千六百萬。我們明年是編一千六百萬。淨零減碳公正轉型的預算啊。對,我們是一千六百萬。您看這個表的下面也是寫一千……一千……
transcript.whisperx[4].start 108.82
transcript.whisperx[4].end 134.677
transcript.whisperx[4].text 一千六百二十萬你如果寫的是一千多少一千六百二十萬全部加起來不是一億九百一百九十八萬公正你如果這樣說我砍成一千多萬喔你講的是那個是永續會的部分啦永續會不用從一億多砍成一千多啦我比較嚴重了沒有沒有主委更嚴重了更嚴重了你看你要用人民納稅錢一億
transcript.whisperx[5].start 137.589
transcript.whisperx[5].end 166.166
transcript.whisperx[5].text 結果你連一個目標值都沒有累你現在知道淨零碳牌做不好誰?連目標都不敢定了你看看右邊這個圖你110年跟111年跟今年你都還會想說你要出幾本書有一個具體的指標到今年114年除了什麼辦理實質的公眾資金、市場資金後面都空的你如果是個立法委員立法院第一個人民的願意給你這個錢嗎?立法院能夠把這個一億多給你嗎?
transcript.whisperx[6].start 167.574
transcript.whisperx[6].end 178.761
transcript.whisperx[6].text 第1項你倒退路啊你以前都有的指標連目標都沒有設是怎麼倒退路啊第1項你沒有具體的指標說你要怎麼進步我剛才跟你講國際上還在笑我們
transcript.whisperx[7].start 180.565
transcript.whisperx[7].end 195.903
transcript.whisperx[7].text 這個錢能給你嗎?這一段能給你嗎?我們是都有目標值啦,我想這可能是有一個物質的部分。目標值什麼?你叫日本委員會要審議審,目標值沒有列出來啊?漏掉了是不是?沒有目標值?不可能啊。我們一定有目標值的。你那個螺絲釘掉滿地了。
transcript.whisperx[8].start 197.585
transcript.whisperx[8].end 198.947
transcript.whisperx[8].text 委員這份資料我們來查證一下啦,我們查證一下再跟你...
transcript.whisperx[9].start 216.124
transcript.whisperx[9].end 244.731
transcript.whisperx[9].text 你要這1億多你去年跟前年都有很明確目標值我們每一項都有目標值你回答之前你看一下1、1、2年你的目標值實際做了什麼事情1、1、3年的目標值是什麼做了什麼事情這都很明確的啊結果你1、1、4你要拿1億多你整個都空下來你的你的頭腦也跟你搖頭了對不對第一個一個禮拜內要補期第二個更嚴重的我定
transcript.whisperx[10].start 246.093
transcript.whisperx[10].end 272.041
transcript.whisperx[10].text 主委,不是只有空白這個問題啦你連目標都沒有,你怎麼會要預算呢?你自己不知道要做什麼什麼,你怎麼會要預算?更嚴重的,過去幾年就是實行的成效又不好嘛這樣怎麼對得起民眾呢?好,一個禮拜內把那個目標值很明確定出來好不好?你一直要信嘛,你今天就是為了預算來的,結果你要空白那這個不叫螺絲釘掉滿地,什麼叫螺絲釘掉滿地?
transcript.whisperx[11].start 274.048
transcript.whisperx[11].end 290.815
transcript.whisperx[11].text 主委,以前的國發會有,為什麼現在沒有?一個禮拜內把目標值很明確給本席好不好?明明有,我們有目標值啦,我想這應該是有,我不知道這份資料是我們哪裡出錯,我們更正了,因為這個目標值我都看過
transcript.whisperx[12].start 296.697
transcript.whisperx[12].end 322.896
transcript.whisperx[12].text 今天更嚴重是過去的執行績效不好來這幾天你看這幾天台灣的空氣變成怎樣你外面在減碳減少空汙台灣這幾天減碳是不成空汙是暴增的我們看下一張圖你看這幾天台北天空一片灰台中連醫生都出來講在上演那個沉默之秋
transcript.whisperx[13].start 324.505
transcript.whisperx[13].end 350.764
transcript.whisperx[13].text 左邊這個是14號的這個空氣你看紅通通一片到了15號整個更是紅通通的你減碳不好結果空污又這麼嚴重這對不起人民嗎?人民的健康會受到很大傷害注意你是定這個目標的人你要去達成這個好不好我給你看一個很恐怖的這個圖你看一下我們現在空氣壞到什麼程度
transcript.whisperx[14].start 352.725
transcript.whisperx[14].end 376.801
transcript.whisperx[14].text 我們要減煤對不對減少燒煤這是國家政策嘛國化會定的對不對主委對不對結果你看我們的14號跟15號我們台電的10部10部燃煤的機組全部火力全開你看最上面的是林口的2號機第二個是大嶺的2號機下面有臺中最可憐的臺中有6個燒煤的機組在14號跟15號火力全開
transcript.whisperx[15].start 381.621
transcript.whisperx[15].end 408.573
transcript.whisperx[15].text 前幾天已經你看那個七四圖常常都已經火力全開後來可以降下來一點點稍微喘一下人民呼吸可以稍微喘息一下下14號、15號全部都是在最高峰欸你看火力全開欸特別是台中的跟台中附近的這個居民是多麼可憐六個燒煤的機組全部火力全開我們看下一張不是只有燃煤沒有做到燒重油是不是更嚴重對不對
transcript.whisperx[16].start 410.051
transcript.whisperx[16].end 414.094
transcript.whisperx[16].text 基金、花東地區永續發展基金、花東地區永續發展基金、花東地區永續發展基金、花東地區永續發展基金、花東地區永續發展基金、花東地區永續發展
transcript.whisperx[17].start 434.226
transcript.whisperx[17].end 461.663
transcript.whisperx[17].text 南部的民眾已經犧牲那麼多年,健康都受影響了,費限還那麼高,說不要延遇好不好?你們堅持延遇,可是你們保證說盡量如果一號機開了,三號機不要開,我給你看下一張。那14號跟15號,賣了不只開了一號機,火力全開,連三號機都燒了。這樣怎麼對得起人民呢?人民用費在呼吸,用生命在呼吸。
transcript.whisperx[18].start 462.557
transcript.whisperx[18].end 489.473
transcript.whisperx[18].text 那這個還是你國家的政策、國發會的政策所以注意你很重要的責任喔好不好怎麼樣減少在燒煤怎麼樣讓空溫可以減少你要多花時間好不好而且要非常具體我們今天都不是用嘴巴講而已我今天給你看的東西都是非常具體的好不好另外要問你一個事情你明年的這個宣傳費用暴增了一倍
transcript.whisperx[19].start 491.684
transcript.whisperx[19].end 518.528
transcript.whisperx[19].text 大內宣、文宣的這個費用暴增了一倍還比較離近的我給你看一下寶定你看這個表你知道嗎你的媒體宣傳費用在有線電視情有獨鍾一家從去年的1、1、2年到今年的1、1、3年主委聽我說聽我說我去調資料出來這個大家都查得到的資料
transcript.whisperx[20].start 520.336
transcript.whisperx[20].end 529.044
transcript.whisperx[20].text 我們全台灣的有線電視從48台開始東森、財經、E電視、連帶電視台東森一直算過來到56有民視、TBS到輝煩都中11台結果你情有獨中獨大一家你這不是得罪其他10家嗎?
transcript.whisperx[21].start 543.901
transcript.whisperx[21].end 553.176
transcript.whisperx[21].text 這個我承諾改善啦因為博定院院長已經講不要過度集中嘛因為這個不是過度集中的喔你是情有獨鍾一家獨大喔好不好所以其他的要擴大第二個
transcript.whisperx[22].start 555.066
transcript.whisperx[22].end 575.7
transcript.whisperx[22].text 你的錢為什麼增加那麼多?你的先傳費從一千一年一年一千六百九十五萬一家暴增到三千萬我們主要增加的部分跟委員報告主要是來自兩個部份三個部份亞洲矽谷跟地方創生從前瞻預算移轉然後加上門材的部分不要一直大內宣這是第一個點
transcript.whisperx[23].start 576.44
transcript.whisperx[23].end 582.609
transcript.whisperx[23].text 二、不要擒有獨宗一家其他不換寡而換不均其他都要照顧到第三、不能夠編這麼多預算這個預算編這麼多我一定是大砍的
IVOD_ID 157269
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157269
日期 2024-11-21
會議資料.會議代碼 委員會-11-2-19-16
會議資料.屆 11
會議資料.會期 2
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.標題 第11屆第2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 2024-11-21T09:41:16+08:00
結束時間 2024-11-21T09:51:05+08:00
支援功能[0] ai-transcript