iVOD / 169476

Field Value
IVOD_ID 169476
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/169476
日期 2026-05-20
會議資料.會議代碼 委員會-11-5-19-14
會議資料.會議代碼:str 第11屆第5會期經濟委員會第14次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 14
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5會期經濟委員會第14次全體委員會議
影片種類 Clip
開始時間 2026-05-20T11:23:00+08:00
結束時間 2026-05-20T11:35:49+08:00
影片長度 00:12:49
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e8e93c7ebde79bae5b9c8c047fd0a7f3b2ebd91c2d73985b4e525a9eb6f1b73278127b5ca753ccb05ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳超明
委員發言時間 11:23:00 - 11:35:49
會議時間 2026-05-20T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第14次全體委員會議(事由:審查115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:台灣電力股份有限公司、台灣糖業股份有限公司。(詢答) 【所列預算提案於115年6月5日(星期五)下午5時截止收件】 【5月20日及5月21日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.02659375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 10.71284375
transcript.pyannote[1].end 11.69159375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 12.19784375
transcript.pyannote[2].end 14.98221875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 15.35346875
transcript.pyannote[3].end 15.37034375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 15.37034375
transcript.pyannote[4].end 15.97784375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 15.97784375
transcript.pyannote[5].end 16.65284375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 24.17909375
transcript.pyannote[6].end 24.85409375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 25.00596875
transcript.pyannote[7].end 26.11971875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 26.74409375
transcript.pyannote[8].end 28.38096875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 29.22471875
transcript.pyannote[9].end 35.83971875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 36.53159375
transcript.pyannote[10].end 38.96159375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 39.38346875
transcript.pyannote[11].end 43.09596875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 43.70346875
transcript.pyannote[12].end 46.03221875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 44.85096875
transcript.pyannote[13].end 46.53846875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 46.63971875
transcript.pyannote[14].end 47.02784375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 47.55096875
transcript.pyannote[15].end 52.63034375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 52.88346875
transcript.pyannote[16].end 58.04721875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 58.77284375
transcript.pyannote[17].end 60.69659375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 61.23659375
transcript.pyannote[18].end 62.75534375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 63.34596875
transcript.pyannote[19].end 64.52721875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 64.89846875
transcript.pyannote[20].end 67.90221875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 68.77971875
transcript.pyannote[21].end 70.31534375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 70.31534375
transcript.pyannote[22].end 74.16284375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 70.34909375
transcript.pyannote[23].end 70.65284375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 74.82096875
transcript.pyannote[24].end 75.32721875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 75.64784375
transcript.pyannote[25].end 76.54221875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 80.77784375
transcript.pyannote[26].end 80.79471875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 80.79471875
transcript.pyannote[27].end 81.03096875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 81.03096875
transcript.pyannote[28].end 81.04784375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 81.04784375
transcript.pyannote[29].end 81.06471875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 81.13221875
transcript.pyannote[30].end 81.55409375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 81.73971875
transcript.pyannote[31].end 84.08534375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 84.49034375
transcript.pyannote[32].end 86.05971875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 87.27471875
transcript.pyannote[33].end 97.29846875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 98.24346875
transcript.pyannote[34].end 98.47971875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 98.47971875
transcript.pyannote[35].end 99.23909375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 99.23909375
transcript.pyannote[36].end 99.32346875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 99.39096875
transcript.pyannote[37].end 99.42471875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 99.42471875
transcript.pyannote[38].end 100.03221875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 100.03221875
transcript.pyannote[39].end 102.37784375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 102.73221875
transcript.pyannote[40].end 109.22909375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 108.46971875
transcript.pyannote[41].end 109.17846875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 109.75221875
transcript.pyannote[42].end 126.03659375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 125.78346875
transcript.pyannote[43].end 131.50409375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 132.38159375
transcript.pyannote[44].end 134.98034375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 135.43596875
transcript.pyannote[45].end 142.48971875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 142.57409375
transcript.pyannote[46].end 147.33284375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 147.90659375
transcript.pyannote[47].end 148.85159375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 149.10471875
transcript.pyannote[48].end 150.03284375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 150.08346875
transcript.pyannote[49].end 154.11659375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 154.97721875
transcript.pyannote[50].end 155.95596875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 156.46221875
transcript.pyannote[51].end 161.11971875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 161.32221875
transcript.pyannote[52].end 174.41721875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 175.19346875
transcript.pyannote[53].end 176.74596875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 176.74596875
transcript.pyannote[54].end 182.39909375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 177.70784375
transcript.pyannote[55].end 179.71596875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 182.95596875
transcript.pyannote[56].end 185.92596875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 184.39034375
transcript.pyannote[57].end 196.37159375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 197.04659375
transcript.pyannote[58].end 203.89784375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 204.38721875
transcript.pyannote[59].end 206.95221875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 207.18846875
transcript.pyannote[60].end 207.88034375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 208.55534375
transcript.pyannote[61].end 209.48346875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 209.65221875
transcript.pyannote[62].end 213.02721875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 214.22534375
transcript.pyannote[63].end 215.38971875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 216.04784375
transcript.pyannote[64].end 219.65909375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 220.19909375
transcript.pyannote[65].end 222.52784375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 223.20284375
transcript.pyannote[66].end 224.58659375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 225.53159375
transcript.pyannote[67].end 226.03784375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 226.94909375
transcript.pyannote[68].end 228.01221875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 228.38346875
transcript.pyannote[69].end 231.15096875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 231.97784375
transcript.pyannote[70].end 233.04096875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 233.63159375
transcript.pyannote[71].end 235.40346875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 236.01096875
transcript.pyannote[72].end 237.66471875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 238.82909375
transcript.pyannote[73].end 241.15784375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 242.01846875
transcript.pyannote[74].end 246.27096875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 246.57471875
transcript.pyannote[75].end 262.08284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 262.40346875
transcript.pyannote[76].end 265.33971875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 265.89659375
transcript.pyannote[77].end 267.39846875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 267.71909375
transcript.pyannote[78].end 269.03534375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 273.11909375
transcript.pyannote[79].end 277.70909375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 278.38409375
transcript.pyannote[80].end 290.63534375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 290.92221875
transcript.pyannote[81].end 291.42846875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 291.71534375
transcript.pyannote[82].end 294.61784375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 294.97221875
transcript.pyannote[83].end 296.13659375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 296.35596875
transcript.pyannote[84].end 300.72659375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 300.87846875
transcript.pyannote[85].end 307.61159375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 307.86471875
transcript.pyannote[86].end 310.39596875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 311.10471875
transcript.pyannote[87].end 313.83846875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 314.47971875
transcript.pyannote[88].end 333.86909375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 315.27284375
transcript.pyannote[89].end 318.96846875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 319.67721875
transcript.pyannote[90].end 320.23409375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 332.46846875
transcript.pyannote[91].end 345.56346875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 335.57346875
transcript.pyannote[92].end 337.41284375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 337.91909375
transcript.pyannote[93].end 338.12159375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 346.06971875
transcript.pyannote[94].end 350.94659375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 351.82409375
transcript.pyannote[95].end 354.50721875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 355.09784375
transcript.pyannote[96].end 368.02409375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 368.26034375
transcript.pyannote[97].end 372.19221875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 372.91784375
transcript.pyannote[98].end 374.03159375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 374.40284375
transcript.pyannote[99].end 378.68909375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 379.83659375
transcript.pyannote[100].end 383.07659375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 383.48159375
transcript.pyannote[101].end 390.26534375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 390.80534375
transcript.pyannote[102].end 393.99471875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 394.06221875
transcript.pyannote[103].end 403.42784375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 403.68096875
transcript.pyannote[104].end 407.69721875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 408.06846875
transcript.pyannote[105].end 413.75534375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 414.16034375
transcript.pyannote[106].end 417.07971875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 417.65346875
transcript.pyannote[107].end 421.61909375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 422.20971875
transcript.pyannote[108].end 424.21784375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 424.74096875
transcript.pyannote[109].end 425.73659375
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 426.04034375
transcript.pyannote[110].end 427.22159375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 428.31846875
transcript.pyannote[111].end 435.35534375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 435.37221875
transcript.pyannote[112].end 439.69221875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 439.94534375
transcript.pyannote[113].end 441.53159375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 441.88596875
transcript.pyannote[114].end 443.03346875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 443.03346875
transcript.pyannote[115].end 443.74221875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 444.56909375
transcript.pyannote[116].end 444.58596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 444.58596875
transcript.pyannote[117].end 449.10846875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 449.41221875
transcript.pyannote[118].end 450.96471875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 450.96471875
transcript.pyannote[119].end 451.16721875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 452.16284375
transcript.pyannote[120].end 452.17971875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 452.17971875
transcript.pyannote[121].end 454.25534375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 454.96409375
transcript.pyannote[122].end 473.18909375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 473.74596875
transcript.pyannote[123].end 479.23034375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 479.53409375
transcript.pyannote[124].end 481.67721875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 481.96409375
transcript.pyannote[125].end 485.08596875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 485.22096875
transcript.pyannote[126].end 486.46971875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 487.51596875
transcript.pyannote[127].end 490.73909375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 491.24534375
transcript.pyannote[128].end 491.26221875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 491.26221875
transcript.pyannote[129].end 494.40096875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 494.73846875
transcript.pyannote[130].end 498.14721875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 498.43409375
transcript.pyannote[131].end 501.65721875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 501.85971875
transcript.pyannote[132].end 502.90596875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 503.26034375
transcript.pyannote[133].end 503.76659375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 503.85096875
transcript.pyannote[134].end 507.39471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 507.73221875
transcript.pyannote[135].end 512.23784375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 512.74409375
transcript.pyannote[136].end 517.85721875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 517.85721875
transcript.pyannote[137].end 520.08471875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 520.08471875
transcript.pyannote[138].end 520.69221875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 520.69221875
transcript.pyannote[139].end 520.75971875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 521.70471875
transcript.pyannote[140].end 521.72159375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 521.72159375
transcript.pyannote[141].end 531.67784375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 532.15034375
transcript.pyannote[142].end 532.53846875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 532.99409375
transcript.pyannote[143].end 534.04034375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 534.20909375
transcript.pyannote[144].end 536.52096875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 536.99346875
transcript.pyannote[145].end 538.02284375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 538.02284375
transcript.pyannote[146].end 540.21659375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 540.73971875
transcript.pyannote[147].end 541.11096875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 541.68471875
transcript.pyannote[148].end 548.35034375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 548.45159375
transcript.pyannote[149].end 558.64409375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 559.01534375
transcript.pyannote[150].end 563.04846875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 563.35221875
transcript.pyannote[151].end 566.57534375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 566.98034375
transcript.pyannote[152].end 572.22846875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 572.38034375
transcript.pyannote[153].end 576.29534375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 576.29534375
transcript.pyannote[154].end 587.85471875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 588.07409375
transcript.pyannote[155].end 589.96409375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 590.31846875
transcript.pyannote[156].end 592.30971875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 592.84971875
transcript.pyannote[157].end 597.97971875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 598.21596875
transcript.pyannote[158].end 600.81471875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 601.57409375
transcript.pyannote[159].end 607.10909375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 606.40034375
transcript.pyannote[160].end 612.57659375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 611.05784375
transcript.pyannote[161].end 616.64346875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 616.67721875
transcript.pyannote[162].end 623.59596875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 623.54534375
transcript.pyannote[163].end 624.05159375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 624.62534375
transcript.pyannote[164].end 626.17784375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 633.53534375
transcript.pyannote[165].end 643.33971875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 644.11596875
transcript.pyannote[166].end 645.44909375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 645.60096875
transcript.pyannote[167].end 647.52471875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 647.84534375
transcript.pyannote[168].end 649.88721875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 650.49471875
transcript.pyannote[169].end 651.37221875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 657.75096875
transcript.pyannote[170].end 658.18971875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 658.64534375
transcript.pyannote[171].end 660.24846875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 660.99096875
transcript.pyannote[172].end 662.66159375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 663.23534375
transcript.pyannote[173].end 666.54284375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 667.06596875
transcript.pyannote[174].end 669.34409375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 670.00221875
transcript.pyannote[175].end 671.53784375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 671.62221875
transcript.pyannote[176].end 673.15784375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 673.56284375
transcript.pyannote[177].end 674.77784375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 675.48659375
transcript.pyannote[178].end 677.30909375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 677.81534375
transcript.pyannote[179].end 679.50284375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 680.59971875
transcript.pyannote[180].end 682.47284375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 682.96221875
transcript.pyannote[181].end 684.68346875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 685.17284375
transcript.pyannote[182].end 686.75909375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 686.92784375
transcript.pyannote[183].end 690.72471875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 691.55159375
transcript.pyannote[184].end 697.35659375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 697.69409375
transcript.pyannote[185].end 701.25471875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 701.99721875
transcript.pyannote[186].end 702.79034375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 702.84096875
transcript.pyannote[187].end 703.88721875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 704.25846875
transcript.pyannote[188].end 706.38471875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 706.95846875
transcript.pyannote[189].end 710.14784375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 710.56971875
transcript.pyannote[190].end 712.52721875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 713.01659375
transcript.pyannote[191].end 722.55096875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 723.07409375
transcript.pyannote[192].end 724.30596875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 724.74471875
transcript.pyannote[193].end 726.46596875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 726.93846875
transcript.pyannote[194].end 733.53659375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 733.70534375
transcript.pyannote[195].end 736.38846875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 736.75971875
transcript.pyannote[196].end 738.64971875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 739.24034375
transcript.pyannote[197].end 741.56909375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 742.09221875
transcript.pyannote[198].end 744.70784375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 745.02846875
transcript.pyannote[199].end 748.43721875
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 748.55534375
transcript.pyannote[200].end 748.58909375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 748.62284375
transcript.pyannote[201].end 752.23409375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 753.19596875
transcript.pyannote[202].end 755.94659375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 756.48659375
transcript.pyannote[203].end 765.61596875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 765.85221875
transcript.pyannote[204].end 766.49346875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 766.74659375
transcript.pyannote[205].end 768.82221875
transcript.whisperx[0].start 0.049
transcript.whisperx[0].end 0.269
transcript.whisperx[0].text 首先邀請經濟部貢部長
transcript.whisperx[1].start 26.831
transcript.whisperx[1].end 42.682
transcript.whisperx[1].text 今天這兩家公司,台灣電力公司、台灣廠業公司剛好都是80大壽,這是好日子不過我進來看一看,本來要說這80歲我們要好好求職,但是我看到
transcript.whisperx[2].start 43.763
transcript.whisperx[2].end 67.697
transcript.whisperx[2].text 我們總部長你們的作為好像中油也是中油好像也是中油也是 三家都是巴士到時候都是好事啊但是我看到你們作為我實在不好意思也不敢公為來請示你們我講一個簡單的問題我們以小觀大你那個logo為什麼要去改是不是你下的指令
transcript.whisperx[3].start 68.978
transcript.whisperx[3].end 76.58
transcript.whisperx[3].text 我那時候沒有在經濟部沒有 你沒有下指令 請我們的台電董事長上來 麻煩一下董事長你很優秀 這個你有沒有下指令下指令說把台灣電力公司的LOGO改為台灣的LOGO電腦打一打能出來 你們花了96萬還是98萬
transcript.whisperx[4].start 98.728
transcript.whisperx[4].end 119.668
transcript.whisperx[4].text 來跟我講你到底誰下的一個我跟委員報告第一個就是以台電公司來講我們現在商標登記兩個都在沒有替換你講什麼我的商標登記兩個都在就是原來的跟新的都在所以我要跟委員報告第一個是它並存第二個是我跟委員報告你在問這個事情
transcript.whisperx[5].start 121.309
transcript.whisperx[5].end 147.081
transcript.whisperx[5].text 那那個2023年的時候其實是次長兼董事長我是覺得你是做能力大事人你今天的說法自圓其說我不相信為什麼以小班大從這一點你們這些政務官不是你們台電公司的專業人員都被你們這些政務官這樣折磨你有沒有看到王總經理下台的時候背著這樣子在走
transcript.whisperx[6].start 148.381
transcript.whisperx[6].end 174.216
transcript.whisperx[6].text 這幾年啊真的別說我為什麼我確定把logo拿出來當然有人在講但是有一點我們核四當初啊匯核的時候說核電廠我們要備用我記得看了一個新聞晚上的時候會顯示執政黨的威武雄壯把那個還沒用的核燃料棒晚上印出去印回美國件價折送
transcript.whisperx[7].start 175.698
transcript.whisperx[7].end 196.059
transcript.whisperx[7].text 這是很誇張的這個委員報告立法院做了一個決議要我們把財政要放送出去哪一個時候是國民黨立委人士比較多還是民進黨立委人士比較多你心中有定見嘛你這麼優秀的
transcript.whisperx[8].start 197.87
transcript.whisperx[8].end 210.779
transcript.whisperx[8].text 這件事實在講我覺得很悲哀,不然我教你一樣,你會出名你把台灣電力公司改為日本台灣Power Company,這樣你就出名了
transcript.whisperx[9].start 216.107
transcript.whisperx[9].end 240.973
transcript.whisperx[9].text 不要去做那些小事啦,沒有意義,好看嘛!你沒下去做,大家是嚇到要死的好好的檢討一下,好不好再來,前部長你沒有參與喔,好讓你回去一下當時你不要這樣啊,這樣壞看啦,真的講全個台灣人都看不過去啊
transcript.whisperx[10].start 242.059
transcript.whisperx[10].end 268.438
transcript.whisperx[10].text 好不好 還有那個王總經理真的這幾年任老任厭是要好好 部長你比安妞要好好照顧人家那個實在是奉公守法忍辱負重達成執政黨的目標雖然不喜歡做 也要把它完成真的要好好的照顧一下看他在交接的時候有時候心裡也難過啦好 新任的郭柯其他的回收
transcript.whisperx[11].start 273.592
transcript.whisperx[11].end 289.511
transcript.whisperx[11].text 我看你教這個典禮裡面,說得很清楚啦你現在八十大壽,你是覺得你垂垂老移,還是你才一定要息事待發?郭總統你的責任很重大,你有能力的人,我看過你經歷,我們也接觸了
transcript.whisperx[12].start 292.053
transcript.whisperx[12].end 309.761
transcript.whisperx[12].text 幾次了,都是很有擔當、很負責任的人,要存錢取用我跟委員報告,那個台電公司當然面對了非常多的挑戰那我也有特別說明就是說,台電其實現在整個同仁平均年齡也年輕那其實剛才包含你問到的一些問題
transcript.whisperx[13].start 311.192
transcript.whisperx[13].end 339.843
transcript.whisperx[13].text 包括我想說 譬如這張啦 委員你大家都看這個夏天的台電的電動台電我要跟委員報告第一個就是台電公司所有的表現董事長要蓋瓜負責任這個絕對是前提但我們很多同仁也做了很多新的改變董事長也不能抑壓這些事所以我很少去刪你們預算到前年之前我完全同意我跟你說喔 你現在做的
transcript.whisperx[14].start 340.263
transcript.whisperx[14].end 349.67
transcript.whisperx[14].text 在這個時代裡面我們郭總裁有一句話我很欣賞也要鼓勵你你說是穩定供電還有電網的強韌性
transcript.whisperx[15].start 351.872
transcript.whisperx[15].end 376.764
transcript.whisperx[15].text 那這裡面後面又帶了一句話電力由我們傳統的公共服務業已經進步成為國家發展及產業競爭力的一個關鍵戰略支援變成也是城市競爭力的重要基石張十六總經理您在講話我都有知識看你這個轉變你也能轉變起來
transcript.whisperx[16].start 379.915
transcript.whisperx[16].end 406.75
transcript.whisperx[16].text 我安慰講一下,其實現在電力很重要你們花一千億,撩一千億錢大家容然知識,就是我們要有競爭力,永遠進步所以你80歲,等於現在你來接這個總經理跟董事長是在轉變的時候,變成一個戰略書院當然這裡面有很多種電力就是國力,也是城市的一個競爭力
transcript.whisperx[17].start 408.631
transcript.whisperx[17].end 426.807
transcript.whisperx[17].text 淨零排碳你們重要啦我看這世界亂到最後也不曉得會不會淨零排碳再來半導體及AI發展這個是你們要面對的問題再來通膨及聯合能源的價格波動這你都要注意那我現在請教
transcript.whisperx[18].start 428.539
transcript.whisperx[18].end 453.677
transcript.whisperx[18].text 因為當時你剛才說一句話說以後的AI算力中心就是AIDC的算力中心最好離電廠5公里到10公里之間你有推展這個計畫你說北部不適宜沒有沒有我沒有說北部全部不適宜我在電廠周邊其實是我們可以去支持的部長沒有請你上台
transcript.whisperx[19].start 455.034
transcript.whisperx[19].end 472.896
transcript.whisperx[19].text 我告訴你電廠隔壁你既然提出來你真的有作為應該在電廠所在地的話跟在地的縣政府合作一下去開闢一片天地現在大家要去做不敢做你到現在建設部有同意嗎你台電有同意嗎
transcript.whisperx[20].start 473.797
transcript.whisperx[20].end 489.406
transcript.whisperx[20].text 大家會怕那有幾個電廠幾乎都在比較邊緣邊壁的地方你應該好好去規劃一下真的把台灣的AI算力中心把它建立起來你要這樣做嗎不然你自己吹公公的我相信
transcript.whisperx[21].start 491.274
transcript.whisperx[21].end 519.148
transcript.whisperx[21].text 那個我跟委員報告這件事情是這樣台電會提供基礎的電網在電廠旁邊我們工作起來會比較有效率而且會比較穩定那至於說政府各級政府中央政府也好地方政府也好在規劃這個未來的算力中心或是算力服務中心怎麼樣子設置這個我們只要地方政府有提出找台電台電就會去跟他們進行討論我只是說你有這樣過時阿部長
transcript.whisperx[22].start 521.992
transcript.whisperx[22].end 539.966
transcript.whisperx[22].text 報告部長,昨天看了一下,如果地方提出這樣AI專利延期的專機,你要不要來支持?在電廠隔壁不要別的地方,它靠海,暖風一吹的時候,散熱又更快。
transcript.whisperx[23].start 542.147
transcript.whisperx[23].end 570.42
transcript.whisperx[23].text 就是AI算力中心要分成幾個面向來看第一個他確定有需求面他可以應用那這個當然廠商設計者他們要去思考的那如果在地的政府可以用這些算力那是最好你不要再出手了嗎我現在吃這裡吃另外一碗土另外就是供給端供給端剛剛提到的要跟電力比較靠近那個地方是比較好的因為他不用拉長很長的線的話這個可能電力上的一些損失
transcript.whisperx[24].start 571.82
transcript.whisperx[24].end 600.605
transcript.whisperx[24].text 對 那電網也比較安全啦這個算力中心也比較穩固啦因為我看主席在那邊了我們電源政府要做 我自己一組來 要來搞分析器另外你要注意一個現象AI電力算力商用電很多那是公共投資的法他們如果要用台電的電費的話你們要提高啊不然百姓很苦 你要注意這個問題喔以前在國外發生的 我是先提醒
transcript.whisperx[25].start 601.678
transcript.whisperx[25].end 607.22
transcript.whisperx[25].text 用電大戶本來他的價錢就比較高這個規劃啊繼續的牟利現在電力變成國力啊郭總經理笑一下嘛 當總經理的人笑一下 滿懷信心好不好好 謝謝來我再問一下台廠
transcript.whisperx[26].start 635.083
transcript.whisperx[26].end 645.053
transcript.whisperx[26].text 董事長你好我看你在今日的時候80週年說上山下海台塘的土地牛跑遍不然我不談這個問題剛剛賴會委員談這個問題那個問執行長你過來一下請過來一下
transcript.whisperx[27].start 657.776
transcript.whisperx[27].end 678.856
transcript.whisperx[27].text 董事長這個人才要好好宅配剛剛說要減價驗收減價驗收我是覺得你水聯市的那種養殖場你全部功虧一簣因為當時在實話裡面發生了很多問題他們不敢驗收我跟您提醒這件事情是很嚴重的錯誤
transcript.whisperx[28].start 680.983
transcript.whisperx[28].end 706.185
transcript.whisperx[28].text 南部的太厲害了那個手腳太多了都不能正常的讓那些存包商正常來做生意我只安心一點你要選擇人說一定要符合標準不是我不要我要你找他開始講話還好他堅持立場因為我大概了解這個過程我只要堅持原則不然你這個養殖我很自信
transcript.whisperx[29].start 707.026
transcript.whisperx[29].end 721.784
transcript.whisperx[29].text 我很多養殖界的朋友,我從基層做起你們這樣下去,又不會賺錢人家的民間大家就賺到賺大錢大家看養殖場都是變質的只有你財產都是為了國家穩定,我看不習慣
transcript.whisperx[30].start 723.186
transcript.whisperx[30].end 751.926
transcript.whisperx[30].text 真的要改進啦有做事的人要支持啦好不好本來要跟你添草很多已經時間超過了改天再好好的討論這一些好的人才實際在座的人覺得要把這個水林市的養殖場要弄好你一定要有幾個堅持的原則現在那樣來對以前啊你們的人員手腳一直很多包商做的都怕
transcript.whisperx[31].start 753.46
transcript.whisperx[31].end 764.893
transcript.whisperx[31].text 我只是跟你暗示一下,不然青菜就崩潰,不然你煲整個都沒有,那要讓民間企業,讓民間去經營,再分你自己經營,大家就要探尋了,好謝謝