iVOD / 158773

Field Value
IVOD_ID 158773
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158773
日期 2025-01-08
會議資料.會議代碼 委員會-11-2-19-22
會議資料.會議代碼:str 第11屆第2會期經濟委員會第22次全體委員會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 22
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2會期經濟委員會第22次全體委員會議
影片種類 Clip
開始時間 2025-01-08T12:04:17+08:00
結束時間 2025-01-08T12:10:51+08:00
影片長度 00:06:34
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/740a0dd0b202cb582cbeeaefb745c9fba56fd3a12bc29fbbe734c898429ef19ac7e4384474ecec015ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 12:04:17 - 12:10:51
會議時間 2025-01-08T09:00:00+08:00
會議名稱 立法院第11屆第2會期經濟委員會第22次全體委員會議(事由:一、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經濟部主管:經濟作業基金、水資源作業基金、經濟特別收入基金、核能發電後端營運基金。(詢答) 二、審查114年度中央政府總預算案附屬單位預算營業部分關於經濟部主管:台灣糖業股份有限公司、台灣中油股份有限公司。(詢答) 【1月8日及9日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 9.48096875
transcript.pyannote[0].end 12.67034375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 13.12596875
transcript.pyannote[1].end 14.02034375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 14.25659375
transcript.pyannote[2].end 15.20159375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 21.36096875
transcript.pyannote[3].end 21.37784375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 21.37784375
transcript.pyannote[4].end 21.83346875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 25.14096875
transcript.pyannote[5].end 25.90034375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 26.32221875
transcript.pyannote[6].end 29.15721875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 29.57909375
transcript.pyannote[7].end 31.13159375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 31.57034375
transcript.pyannote[8].end 33.61221875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 34.62471875
transcript.pyannote[9].end 36.98721875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 38.30346875
transcript.pyannote[10].end 39.87284375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 40.81784375
transcript.pyannote[11].end 42.26909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 42.94409375
transcript.pyannote[12].end 43.65284375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 44.81721875
transcript.pyannote[13].end 46.16721875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 46.60596875
transcript.pyannote[14].end 47.73659375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 48.71534375
transcript.pyannote[15].end 50.62221875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 51.28034375
transcript.pyannote[16].end 52.63034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 53.22096875
transcript.pyannote[17].end 54.85784375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 55.80284375
transcript.pyannote[18].end 57.10221875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 57.62534375
transcript.pyannote[19].end 60.24096875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 60.47721875
transcript.pyannote[20].end 62.53596875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 64.07159375
transcript.pyannote[21].end 66.09659375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 66.55221875
transcript.pyannote[22].end 68.20596875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 68.89784375
transcript.pyannote[23].end 70.65284375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 71.64846875
transcript.pyannote[24].end 72.17159375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 72.64409375
transcript.pyannote[25].end 73.45409375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 74.14596875
transcript.pyannote[26].end 75.15846875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 75.24284375
transcript.pyannote[27].end 76.22159375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 77.50409375
transcript.pyannote[28].end 78.88784375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 79.37721875
transcript.pyannote[29].end 81.26721875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 81.70596875
transcript.pyannote[30].end 82.53284375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 83.39346875
transcript.pyannote[31].end 84.43971875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 85.13159375
transcript.pyannote[32].end 86.32971875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 86.58284375
transcript.pyannote[33].end 88.59096875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 88.99596875
transcript.pyannote[34].end 90.22784375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 91.44284375
transcript.pyannote[35].end 92.60721875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 94.39596875
transcript.pyannote[36].end 97.77096875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 98.00721875
transcript.pyannote[37].end 100.48784375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 101.14596875
transcript.pyannote[38].end 101.34846875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 101.34846875
transcript.pyannote[39].end 101.43284375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 102.04034375
transcript.pyannote[40].end 102.29346875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 102.79971875
transcript.pyannote[41].end 102.81659375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 102.81659375
transcript.pyannote[42].end 102.85034375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 102.85034375
transcript.pyannote[43].end 102.86721875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 102.86721875
transcript.pyannote[44].end 102.90096875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 102.90096875
transcript.pyannote[45].end 102.96846875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 102.96846875
transcript.pyannote[46].end 103.62659375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 103.62659375
transcript.pyannote[47].end 103.67721875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 103.67721875
transcript.pyannote[48].end 103.71096875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 104.79096875
transcript.pyannote[49].end 105.33096875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 105.71909375
transcript.pyannote[50].end 110.86596875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 109.98846875
transcript.pyannote[51].end 115.74284375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 116.46846875
transcript.pyannote[52].end 118.71284375
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 122.29034375
transcript.pyannote[53].end 127.77471875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 128.65221875
transcript.pyannote[54].end 129.36096875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 129.79971875
transcript.pyannote[55].end 133.09034375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 133.27596875
transcript.pyannote[56].end 137.20784375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 137.52846875
transcript.pyannote[57].end 139.46909375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 139.95846875
transcript.pyannote[58].end 141.03846875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 141.03846875
transcript.pyannote[59].end 141.20721875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 141.20721875
transcript.pyannote[60].end 141.56159375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 141.56159375
transcript.pyannote[61].end 141.57846875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 141.57846875
transcript.pyannote[62].end 141.59534375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 141.83159375
transcript.pyannote[63].end 141.86534375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 141.86534375
transcript.pyannote[64].end 141.89909375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 141.89909375
transcript.pyannote[65].end 141.96659375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 141.96659375
transcript.pyannote[66].end 143.63721875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 143.78909375
transcript.pyannote[67].end 143.99159375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 144.43034375
transcript.pyannote[68].end 149.34096875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 149.34096875
transcript.pyannote[69].end 149.64471875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 149.64471875
transcript.pyannote[70].end 149.84721875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 149.84721875
transcript.pyannote[71].end 159.44909375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 160.10721875
transcript.pyannote[72].end 160.78221875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 161.33909375
transcript.pyannote[73].end 166.80659375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 167.12721875
transcript.pyannote[74].end 168.03846875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 168.39284375
transcript.pyannote[75].end 169.75971875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 170.56971875
transcript.pyannote[76].end 171.44721875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 171.88596875
transcript.pyannote[77].end 172.78034375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 173.72534375
transcript.pyannote[78].end 174.19784375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 175.00784375
transcript.pyannote[79].end 177.04971875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 177.23534375
transcript.pyannote[80].end 179.68221875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 180.22221875
transcript.pyannote[81].end 184.33971875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 184.76159375
transcript.pyannote[82].end 186.29721875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 186.85409375
transcript.pyannote[83].end 191.93346875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 191.98409375
transcript.pyannote[84].end 192.01784375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 192.01784375
transcript.pyannote[85].end 192.03471875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 192.03471875
transcript.pyannote[86].end 192.06846875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 192.06846875
transcript.pyannote[87].end 193.87409375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 192.08534375
transcript.pyannote[88].end 192.42284375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 195.66284375
transcript.pyannote[89].end 195.69659375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 195.69659375
transcript.pyannote[90].end 197.08034375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 197.45159375
transcript.pyannote[91].end 199.86471875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 200.40471875
transcript.pyannote[92].end 203.77971875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 204.11721875
transcript.pyannote[93].end 206.88471875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 207.94784375
transcript.pyannote[94].end 208.90971875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 209.21346875
transcript.pyannote[95].end 210.41159375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 212.11596875
transcript.pyannote[96].end 213.22971875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 212.90909375
transcript.pyannote[97].end 214.86659375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 215.23784375
transcript.pyannote[98].end 217.33034375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 216.45284375
transcript.pyannote[99].end 217.61721875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 218.17409375
transcript.pyannote[100].end 219.59159375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 220.43534375
transcript.pyannote[101].end 222.94971875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 223.35471875
transcript.pyannote[102].end 225.58221875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 226.29096875
transcript.pyannote[103].end 227.43846875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 228.50159375
transcript.pyannote[104].end 229.90221875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 230.88096875
transcript.pyannote[105].end 233.85096875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 234.55971875
transcript.pyannote[106].end 236.51721875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 236.61846875
transcript.pyannote[107].end 238.08659375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 238.35659375
transcript.pyannote[108].end 239.80784375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 239.80784375
transcript.pyannote[109].end 240.43221875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 240.48284375
transcript.pyannote[110].end 245.37659375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 240.58409375
transcript.pyannote[111].end 240.61784375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 240.65159375
transcript.pyannote[112].end 241.96784375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 242.94659375
transcript.pyannote[113].end 243.21659375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 244.66784375
transcript.pyannote[114].end 246.01784375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 246.08534375
transcript.pyannote[115].end 246.92909375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 247.92471875
transcript.pyannote[116].end 249.84846875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 250.55721875
transcript.pyannote[117].end 252.36284375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 253.22346875
transcript.pyannote[118].end 254.79284375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 255.33284375
transcript.pyannote[119].end 256.29471875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 255.72096875
transcript.pyannote[120].end 256.17659375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 256.37909375
transcript.pyannote[121].end 260.90159375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 259.55159375
transcript.pyannote[122].end 259.97346875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 260.90159375
transcript.pyannote[123].end 262.15034375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 262.53846875
transcript.pyannote[124].end 262.75784375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 262.75784375
transcript.pyannote[125].end 262.85909375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 262.85909375
transcript.pyannote[126].end 262.87596875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 262.87596875
transcript.pyannote[127].end 262.89284375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 262.89284375
transcript.pyannote[128].end 262.90971875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 263.11221875
transcript.pyannote[129].end 264.34409375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 264.58034375
transcript.pyannote[130].end 266.40284375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 266.55471875
transcript.pyannote[131].end 267.65159375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 268.20846875
transcript.pyannote[132].end 269.81159375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 270.48659375
transcript.pyannote[133].end 271.70159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 272.64659375
transcript.pyannote[134].end 274.41846875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 275.05971875
transcript.pyannote[135].end 276.74721875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 277.54034375
transcript.pyannote[136].end 279.51471875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 280.62846875
transcript.pyannote[137].end 281.86034375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 282.45096875
transcript.pyannote[138].end 284.89784375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 285.77534375
transcript.pyannote[139].end 288.03659375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 288.72846875
transcript.pyannote[140].end 291.00659375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 291.51284375
transcript.pyannote[141].end 295.14096875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 296.57534375
transcript.pyannote[142].end 297.04784375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 297.18284375
transcript.pyannote[143].end 298.02659375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 298.02659375
transcript.pyannote[144].end 299.84909375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 300.23721875
transcript.pyannote[145].end 301.11471875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 302.44784375
transcript.pyannote[146].end 303.32534375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 304.01721875
transcript.pyannote[147].end 305.36721875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 305.97471875
transcript.pyannote[148].end 309.97409375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 311.20596875
transcript.pyannote[149].end 312.87659375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 313.63596875
transcript.pyannote[150].end 315.01971875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 315.52596875
transcript.pyannote[151].end 316.65659375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 316.90971875
transcript.pyannote[152].end 318.79971875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 320.99346875
transcript.pyannote[153].end 322.27596875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 323.15346875
transcript.pyannote[154].end 324.48659375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 325.27971875
transcript.pyannote[155].end 328.84034375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 329.43096875
transcript.pyannote[156].end 330.49409375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 331.40534375
transcript.pyannote[157].end 332.36721875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 333.61596875
transcript.pyannote[158].end 334.47659375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 335.03346875
transcript.pyannote[159].end 336.14721875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 336.78846875
transcript.pyannote[160].end 337.96971875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 339.21846875
transcript.pyannote[161].end 341.61471875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 341.96909375
transcript.pyannote[162].end 344.04471875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 344.61846875
transcript.pyannote[163].end 347.21721875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 354.06846875
transcript.pyannote[164].end 360.14346875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 360.68346875
transcript.pyannote[165].end 360.93659375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 360.93659375
transcript.pyannote[166].end 362.65784375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 363.45096875
transcript.pyannote[167].end 369.76221875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 365.86409375
transcript.pyannote[168].end 366.67409375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 367.92284375
transcript.pyannote[169].end 368.12534375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 369.81284375
transcript.pyannote[170].end 371.63534375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 370.94346875
transcript.pyannote[171].end 382.03034375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 373.54221875
transcript.pyannote[172].end 374.20034375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 375.80346875
transcript.pyannote[173].end 376.47846875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 382.11471875
transcript.pyannote[174].end 383.34659375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 383.34659375
transcript.pyannote[175].end 383.38034375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 383.61659375
transcript.pyannote[176].end 388.40909375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 384.19034375
transcript.pyannote[177].end 384.89909375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 388.45971875
transcript.pyannote[178].end 394.33221875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 391.81784375
transcript.pyannote[179].end 392.91471875
transcript.whisperx[0].start 9.92
transcript.whisperx[0].end 36.722
transcript.whisperx[0].text 謝謝主席 馬上有請經濟部部長台堂董事長請郭部長 請吳董事長兩位好在審查其實是去年台堂的預算的時候我就很清楚的點出來了台堂前董事長吳乃仁
transcript.whisperx[1].start 38.916
transcript.whisperx[1].end 61.912
transcript.whisperx[1].text 賤賣台塘的土地導致國家虧損一億多元這個被判刑確定了啦這被判刑確定了啦即使我們的總統賴清德用政治生命幫無乃人掛保證即使民進黨立院黨團的幹事長吳思瑤說無乃人是在做黑勞
transcript.whisperx[2].start 64.09
transcript.whisperx[2].end 87.319
transcript.whisperx[2].text 對不起 不是黑老 是冤獄啊說誰是背後的黑手都沒有辦法改變一個事實啊第一個 判刑確定判刑確定 關出來就好欠國家的錢啊現在追查的進度到底是什麼來看一下到目前為止還欠1億7146萬來 請董事長我講了數了對不對
transcript.whisperx[3].start 94.491
transcript.whisperx[3].end 117.844
transcript.whisperx[3].text 上來用麥克風講這樣才會進入立法院公報所有在關心的人才聽得到你的聲音是最近有沒有還最近我們有透過相關的法律程序但是查不到他的錢查不到他的錢那奇怪你們有沒有去追蹤他現在出入都做B&W你們知不知道大七系列的B&W你知道嗎
transcript.whisperx[4].start 122.335
transcript.whisperx[4].end 138.944
transcript.whisperx[4].text 我們今年12月9號有在跟法院申請執行然後呢因為在法院的成績下他沒有錢沒有存款所以我們也拿不到錢沒有錢沒有存款就算喔
transcript.whisperx[5].start 140
transcript.whisperx[5].end 158.541
transcript.whisperx[5].text 我們有透過法例的程序什麼程序講清楚啦透過強制執行法第幾條的什麼程序幹了什麼事情講清楚啦跟委員報告齁7.12.9號我們向法院遞狀申請再以強制執行依強制執行法第19條的規定
transcript.whisperx[6].start 160.203
transcript.whisperx[6].end 173.984
transcript.whisperx[6].text 申請查掉債務人、無難人等私人資財產狀況向中華民國聯手保險商業同業工會中華郵政台灣集中保管
transcript.whisperx[7].start 175.409
transcript.whisperx[7].end 192.943
transcript.whisperx[7].text 結算所股份流線公司及勞動部勞工保險局查刑以及請求法案依強制執行法第20條規定定期間並無乃人等事人即時報告財產狀況以立強制執行好 無乃人有沒有報告財產狀況
transcript.whisperx[8].start 195.786
transcript.whisperx[8].end 208.618
transcript.whisperx[8].text 你跟法院申請嘛對你依照強制執行法20條的規定嘛跟法院申請要求債務人報告他的財產狀況嘛法院有沒有命無奶人報告財產狀況還沒有通知為什麼還沒有通知
transcript.whisperx[9].start 213.085
transcript.whisperx[9].end 233.572
transcript.whisperx[9].text 這就是要你們台堂去追的嘛對 我們會繼續人民很憤怒 納稅人很憤怒但所有的權力都在你們台堂手上嘛因為只有你們是資格的債權人嘛大家都在看啊說無奶人沒有錢 進出做B&W大漆系列
transcript.whisperx[10].start 234.642
transcript.whisperx[10].end 246.693
transcript.whisperx[10].text 晚上去海峽會吃高檔的料理海峽會你有去過嗎?我沒有你沒有去過?我不知道你檔次中耶你的檔次去海峽會應該剛好啦我沒有啦很熟啦鎮商關係很好的店啦
transcript.whisperx[11].start 250.618
transcript.whisperx[11].end 278.669
transcript.whisperx[11].text 出入都是立法委員啊都是達官貴族啊那很貴的啦保持你的本性保持你的本性啊我給你鼓勵啊我為什麼提啊納稅人看不下去嘛做B&W晚上去高檔的料理旁邊還有辣妹做賠然後這樣的人沒有錢賠國家
transcript.whisperx[12].start 280.7
transcript.whisperx[12].end 309.807
transcript.whisperx[12].text 是台塘帶墮還是台北地方法院執行處放水依照強制執行法20條的規定命債務人報告財產狀況沒有據實報告法律效果是什麼董事長知不知道報告委員這個我不太曉得但是沒關係我跟你講啊依法管收依法管收台灣是法治國家強制執行法怎麼規定白紙黑字啊寫得非常的清楚啊
transcript.whisperx[13].start 311.237
transcript.whisperx[13].end 335.605
transcript.whisperx[13].text 台灣還有沒有公平正義啊有權有勢的人判刑確定只要總統出來掛保證有沒有積極追討錢不用還國家喔還是連台北地方法院民事執行處的法官都在放水全民都在看啊全民都在看啊請台湯齁適時的公佈你們追討的狀況
transcript.whisperx[14].start 339.604
transcript.whisperx[14].end 353.833
transcript.whisperx[14].text 適時的公布追討的狀況 你們今天給台北地方法院的申請函台北地方法院到目前為止都沒回覆是嗎我這樣講好了啦 簡單來講你們有沒有盡責做到你們的工作 我要一個最基本的資料你們強制執勤的申請狀
transcript.whisperx[15].start 363.676
transcript.whisperx[15].end 383.149
transcript.whisperx[15].text 以及法院回應你們強制執行的申請狀的裁定書面都給我可以嗎書面都給我這樣我才知道怎麼追究責任嘛不要你一個新的董事長你明明很困難很怕病是台北地院的錯那我當然去追嘛
transcript.whisperx[16].start 384.471
transcript.whisperx[16].end 390.503
transcript.whisperx[16].text 這樣可以嗎好我回去會請我們的法務跟我們的律師在這件事情好謝謝謝謝委員