iVOD / 168757

Field Value
IVOD_ID 168757
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168757
日期 2026-04-22
會議資料.會議代碼 委員會-11-5-19-10
會議資料.會議代碼:str 第11屆第5會期經濟委員會第10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 10
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10次全體委員會議
影片種類 Clip
開始時間 2026-04-22T12:33:59+08:00
結束時間 2026-04-22T12:44:22+08:00
影片長度 00:10:23
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5b5880b40c5769f1458642813954d83663812774c6aab6af5c95c54bff74e416ddd93173464eae515ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 洪孟楷
委員發言時間 12:33:59 - 12:44:22
會議時間 2026-04-22T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第10次全體委員會議(事由:一、審查115年度中央政府總預算案關於經濟部及所屬單位預算部分。 二、審查115年度中央政府總預算案直轄市及縣市政府一般性補助款經濟部主管部分預算。 (以上二案僅詢答) 【4月22日及23日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.57096875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 4.87409375
transcript.pyannote[1].end 5.54909375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 12.13034375
transcript.pyannote[2].end 12.24846875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 12.46784375
transcript.pyannote[3].end 14.67846875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 15.15096875
transcript.pyannote[4].end 15.40409375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 15.40409375
transcript.pyannote[5].end 15.42096875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 15.42096875
transcript.pyannote[6].end 15.92721875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 15.92721875
transcript.pyannote[7].end 15.96096875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 15.96096875
transcript.pyannote[8].end 15.97784375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 15.97784375
transcript.pyannote[9].end 16.18034375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 16.18034375
transcript.pyannote[10].end 16.28159375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 21.20909375
transcript.pyannote[11].end 39.02909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 39.68721875
transcript.pyannote[12].end 43.92284375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 44.78346875
transcript.pyannote[13].end 45.03659375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 45.44159375
transcript.pyannote[14].end 47.53409375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 47.88846875
transcript.pyannote[15].end 56.44409375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 56.88284375
transcript.pyannote[16].end 59.05971875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 56.91659375
transcript.pyannote[17].end 58.19909375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 58.41846875
transcript.pyannote[18].end 58.90784375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 58.90784375
transcript.pyannote[19].end 58.97534375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 59.31284375
transcript.pyannote[20].end 59.32971875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 59.32971875
transcript.pyannote[21].end 68.54346875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 60.10596875
transcript.pyannote[22].end 60.54471875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 67.83471875
transcript.pyannote[23].end 70.78784375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 70.83846875
transcript.pyannote[24].end 71.49659375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 71.02409375
transcript.pyannote[25].end 73.42034375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 74.33159375
transcript.pyannote[26].end 85.55346875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 84.13596875
transcript.pyannote[27].end 86.39721875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 85.95846875
transcript.pyannote[28].end 91.72971875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 89.99159375
transcript.pyannote[29].end 106.02284375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 106.02284375
transcript.pyannote[30].end 133.02284375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 119.26971875
transcript.pyannote[31].end 119.28659375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 119.35409375
transcript.pyannote[32].end 119.45534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 133.39409375
transcript.pyannote[33].end 133.81596875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 135.57096875
transcript.pyannote[34].end 139.33409375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 139.65471875
transcript.pyannote[35].end 141.88221875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 142.27034375
transcript.pyannote[36].end 146.48909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 146.96159375
transcript.pyannote[37].end 159.65159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 159.83721875
transcript.pyannote[38].end 160.37721875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 160.88346875
transcript.pyannote[39].end 165.25409375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 165.42284375
transcript.pyannote[40].end 167.58284375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 167.83596875
transcript.pyannote[41].end 171.56534375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 172.27409375
transcript.pyannote[42].end 176.71221875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 176.99909375
transcript.pyannote[43].end 178.01159375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 178.28159375
transcript.pyannote[44].end 204.67409375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 178.99034375
transcript.pyannote[45].end 179.26034375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 189.85784375
transcript.pyannote[46].end 191.35971875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 191.71409375
transcript.pyannote[47].end 191.95034375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 202.93596875
transcript.pyannote[48].end 215.92971875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 216.16596875
transcript.pyannote[49].end 220.06409375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 221.46471875
transcript.pyannote[50].end 243.26721875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 228.82221875
transcript.pyannote[51].end 228.90659375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 243.33471875
transcript.pyannote[52].end 250.43909375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 250.97909375
transcript.pyannote[53].end 255.55221875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 256.10909375
transcript.pyannote[54].end 259.83846875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 260.53034375
transcript.pyannote[55].end 269.35596875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 269.47409375
transcript.pyannote[56].end 278.13096875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 278.28284375
transcript.pyannote[57].end 315.86346875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 280.76346875
transcript.pyannote[58].end 281.97846875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 287.98596875
transcript.pyannote[59].end 289.30221875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 298.12784375
transcript.pyannote[60].end 299.74784375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 305.94096875
transcript.pyannote[61].end 308.32034375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 316.36971875
transcript.pyannote[62].end 317.29784375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 317.58471875
transcript.pyannote[63].end 318.00659375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 318.37784375
transcript.pyannote[64].end 322.24221875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 322.57971875
transcript.pyannote[65].end 326.54534375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 325.36409375
transcript.pyannote[66].end 341.20971875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 339.60659375
transcript.pyannote[67].end 339.91034375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 340.51784375
transcript.pyannote[68].end 347.67284375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 346.86284375
transcript.pyannote[69].end 355.55346875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 355.72221875
transcript.pyannote[70].end 380.79846875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 381.84471875
transcript.pyannote[71].end 382.48596875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 382.72221875
transcript.pyannote[72].end 386.83971875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 386.95784375
transcript.pyannote[73].end 388.37534375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 388.62846875
transcript.pyannote[74].end 389.35409375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 389.35409375
transcript.pyannote[75].end 390.80534375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 390.80534375
transcript.pyannote[76].end 391.59846875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 390.99096875
transcript.pyannote[77].end 391.66596875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 391.66596875
transcript.pyannote[78].end 410.76846875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 391.68284375
transcript.pyannote[79].end 391.71659375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 410.32971875
transcript.pyannote[80].end 413.85659375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 412.99596875
transcript.pyannote[81].end 414.54846875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 414.41346875
transcript.pyannote[82].end 414.97034375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 414.59909375
transcript.pyannote[83].end 425.71971875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 415.62846875
transcript.pyannote[84].end 416.01659375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 426.05721875
transcript.pyannote[85].end 426.41159375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 426.69846875
transcript.pyannote[86].end 430.36034375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 431.10284375
transcript.pyannote[87].end 432.79034375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 432.89159375
transcript.pyannote[88].end 433.27971875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 433.16159375
transcript.pyannote[89].end 433.38096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 433.58346875
transcript.pyannote[90].end 447.52221875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 440.46846875
transcript.pyannote[91].end 441.12659375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 447.72471875
transcript.pyannote[92].end 448.04534375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 448.72034375
transcript.pyannote[93].end 449.59784375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 449.81721875
transcript.pyannote[94].end 456.21284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 456.29721875
transcript.pyannote[95].end 462.60846875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 463.35096875
transcript.pyannote[96].end 469.42596875
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 465.49409375
transcript.pyannote[97].end 466.20284375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 467.16471875
transcript.pyannote[98].end 467.62034375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 469.59471875
transcript.pyannote[99].end 471.13034375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 469.78034375
transcript.pyannote[100].end 470.37096875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 471.13034375
transcript.pyannote[101].end 482.06534375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 471.38346875
transcript.pyannote[102].end 471.48471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 477.20534375
transcript.pyannote[103].end 487.24596875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 483.26346875
transcript.pyannote[104].end 484.29284375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 487.14471875
transcript.pyannote[105].end 487.51596875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 487.43159375
transcript.pyannote[106].end 495.04221875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 495.37971875
transcript.pyannote[107].end 501.55596875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 501.55596875
transcript.pyannote[108].end 501.82596875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 502.01159375
transcript.pyannote[109].end 503.51346875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 503.34471875
transcript.pyannote[110].end 505.94346875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 507.91784375
transcript.pyannote[111].end 507.95159375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 507.95159375
transcript.pyannote[112].end 507.98534375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 507.98534375
transcript.pyannote[113].end 508.08659375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 508.33971875
transcript.pyannote[114].end 512.37284375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 513.03096875
transcript.pyannote[115].end 525.82221875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 514.36409375
transcript.pyannote[116].end 518.49846875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 523.17284375
transcript.pyannote[117].end 523.52721875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 523.52721875
transcript.pyannote[118].end 523.56096875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 525.95721875
transcript.pyannote[119].end 528.60659375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 528.91034375
transcript.pyannote[120].end 537.73596875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 534.32721875
transcript.pyannote[121].end 534.66471875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 537.97221875
transcript.pyannote[122].end 539.00159375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 539.00159375
transcript.pyannote[123].end 539.05221875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 539.17034375
transcript.pyannote[124].end 539.59221875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 539.59221875
transcript.pyannote[125].end 539.71034375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 539.84534375
transcript.pyannote[126].end 539.91284375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 539.91284375
transcript.pyannote[127].end 540.97596875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 540.97596875
transcript.pyannote[128].end 559.09971875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 559.48784375
transcript.pyannote[129].end 568.43159375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 568.75221875
transcript.pyannote[130].end 569.86596875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 570.03471875
transcript.pyannote[131].end 570.99659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 572.19471875
transcript.pyannote[132].end 572.70096875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 572.70096875
transcript.pyannote[133].end 575.11409375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 575.87346875
transcript.pyannote[134].end 577.56096875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 577.78034375
transcript.pyannote[135].end 579.28221875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 578.15159375
transcript.pyannote[136].end 580.59846875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 579.41721875
transcript.pyannote[137].end 580.34534375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 580.66596875
transcript.pyannote[138].end 581.99909375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 581.99909375
transcript.pyannote[139].end 582.85971875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 582.25221875
transcript.pyannote[140].end 585.88034375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 586.67346875
transcript.pyannote[141].end 588.76596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 589.33971875
transcript.pyannote[142].end 592.44471875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 593.00159375
transcript.pyannote[143].end 598.46909375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 598.73909375
transcript.pyannote[144].end 611.15909375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 610.83846875
transcript.pyannote[145].end 611.31096875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 611.31096875
transcript.pyannote[146].end 612.93096875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 613.75784375
transcript.pyannote[147].end 614.36534375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 614.68596875
transcript.pyannote[148].end 617.50409375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 617.70659375
transcript.pyannote[149].end 618.56721875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 618.88784375
transcript.pyannote[150].end 620.86221875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 620.96346875
transcript.pyannote[151].end 622.04346875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 621.19971875
transcript.pyannote[152].end 621.72284375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 622.04346875
transcript.pyannote[153].end 622.65096875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 623.34284375
transcript.pyannote[154].end 623.35971875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 623.35971875
transcript.pyannote[155].end 623.57909375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 623.57909375
transcript.pyannote[156].end 623.61284375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 623.71409375
transcript.pyannote[157].end 623.74784375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 623.74784375
transcript.pyannote[158].end 625.26659375
transcript.whisperx[0].start 12.568
transcript.whisperx[0].end 13.189
transcript.whisperx[0].text 主席謝謝,麻煩請拱部長請拱部長,謝謝
transcript.whisperx[1].start 21.513
transcript.whisperx[1].end 43.251
transcript.whisperx[1].text 好 部長好 部長本席針對能源的議題再跟您就教一下剛我從教育文化委員會過來 今天何安慧主委來那她在答詢其他委員的一個答 詢答的時候她答覆 她說她認為核電是有穩定電價的作用那媒體把她下標 剛即時新聞也出來 您認不認同這個講法
transcript.whisperx[2].start 45.507
transcript.whisperx[2].end 72.56
transcript.whisperx[2].text 但是它現在的比例大概只有即便是核二核三它重啟以後大概佔的比例大概是百分之十但是對整體的這個影響就是百分之十這個多元嘛我們一直強調是說能源其實是可以更多元不然台電現在也不用送重啟核三廠的計畫只要是多元安全的我們都所以核電是能夠穩定電價
transcript.whisperx[3].start 74.4
transcript.whisperx[3].end 100.954
transcript.whisperx[3].text 有助穩定電價至少我們不會說成本的部分影響譬如說剛剛很多委員都在關心其實這從228之後到現在兩個月左右時間所以為什麼 燃氣 燃煤石油的價格都往上甚至迫性高為什麼再生能源因為再生能源我們是本地的能源那核能當然也是如果將來重啟的話的確是有
transcript.whisperx[4].start 101.474
transcript.whisperx[4].end 118.048
transcript.whisperx[4].text 有助於就是因為國際的如果是能源價格波動的時候他比較不會受到影響好來那這樣子我想請教因為現在核電的部分持續他就在走這個程序那就是專業專業審查安全審查尤其核安很重要這個沒有辦法急
transcript.whisperx[5].start 119.429
transcript.whisperx[5].end 133.55
transcript.whisperx[5].text 另外一個部分就是說那我們比較短時看到的其實大家也都在講因為你也有這個要重啟其他藍莓電廠的一個計畫或可能性那我現在想請教到底我們有沒有這個我現在都是一個最
transcript.whisperx[6].start 136.172
transcript.whisperx[6].end 160.185
transcript.whisperx[6].text 嚴謹的態度來去預估料敵從寬中東戰事真的不知道什麼時候會結束那我們現在夏天馬上來到五月進入就是用電的高峰那有沒有後續如果說真的緊張的一些其他的備援計畫或是備用方案甚至韓國政府也已經講了就是有這個什麼民間公務車要減少啊等等的部分
transcript.whisperx[7].start 160.925
transcript.whisperx[7].end 170.483
transcript.whisperx[7].text 那我們到目前為止好像看起來還沒有只有卓院長一個月前講一句就說大家就是深入檢出啦意思就是說大家是精簡車輛使用
transcript.whisperx[8].start 172.318
transcript.whisperx[8].end 196.269
transcript.whisperx[8].text 但我比較想要具體的做法有沒有還是我們認為是說我們不管怎麼樣我們都可以撐得過因為報告委員我們還是要看就是說我們的這個備用狀況備存存存量狀況那因為我們現在的存量油的部分我們現在還是有140天雖然法定是90天所以都還符合那除非這個掉得很快我們就可能要思考
transcript.whisperx[9].start 197.189
transcript.whisperx[9].end 219.845
transcript.whisperx[9].text 一直維持 因為戰爭已經一個多月了它一直可以維持就表示我們一直進來掉得很快那這樣子本席就是問一些就比較數字層面因為我們相信制度不相信人不是說用人來判斷 而是說我們制度怎麼樣有沒有掌握假設我們到什麼時間點我們的備存量到什麼時間點我們可能就要研議plan B
transcript.whisperx[10].start 221.679
transcript.whisperx[10].end 250.27
transcript.whisperx[10].text 因為這樣就是說因為我有問過中油嘛我有問過中油一樣的問題其實這都是同一個邏輯我現在講的是說當中油到哪個油價飆到哪個時間點的時候中油沒有辦法完全吸收因為到目前為止其實從2月開始油價已經全面上升甚至有破歷史的天價可是中油都還是吸收什麼時候時間點是中油譬如說破到一桶多少錢的時候中油可能也沒有辦法它確實要反映
transcript.whisperx[11].start 251.03
transcript.whisperx[11].end 269.125
transcript.whisperx[11].text 那這些有沒有在每一次我得到的答案都是每個禮拜院長會有這個會議啊所以滾動檢討啊但是部長您身為過去也擔任過秘書長您也是經濟部的這個主管其實更應該要內部有方案跟劇本
transcript.whisperx[12].start 269.765
transcript.whisperx[12].end 285.042
transcript.whisperx[12].text 報告委員我們現在從事實上時間上的規劃因為比如說天然氣的調度事實上油比較沒有問題是100多天嘛那天然氣的部分我們就是往下看三個月我們就要先調到那再往後一個月我們會再往下
transcript.whisperx[13].start 285.863
transcript.whisperx[13].end 300.295
transcript.whisperx[13].text 如果調不到的話或調得不夠的話那時候我們就要比較緊急的來做一些因應的處理那目前看起來是我們都還好都可以調得到而且說老實話全世界因應這個戰爭也都在適應了
transcript.whisperx[14].start 302.917
transcript.whisperx[14].end 317.153
transcript.whisperx[14].text 就是剛開始的時候 就大家也都是蝦子摸象蝦子過河 摸石過河剛開始大家不曉得怎麼樣去調度這件事情但是現在已經過了一個多月以後大家已經比較熟悉哪裡可以調得到比較清楚了
transcript.whisperx[15].start 318.474
transcript.whisperx[15].end 344.777
transcript.whisperx[15].text 有多產的部分他們也願意供應到這個市場現貨市場價格現貨市場出來了所以部長我還是提醒因為這個內部的資訊資料你們一定比國人跟委員都還來得清楚我一而再再三強調不是要找查而是我認為說政府應該要有預先劇本而不是發生狀況才來做所以為什麼我們固定的每一個禮拜都會對外說明
transcript.whisperx[16].start 345.237
transcript.whisperx[16].end 361.074
transcript.whisperx[16].text 我們現在的存量狀況怎麼樣好那最後兩點啊因為現在剛也有劉建國委員關心這個藍媒的部分本席的選區也有林口火力發電廠它是藍媒發電那其實它影響的不只是台北市260萬人新北市4來萬人桃園200多萬人
transcript.whisperx[17].start 362.455
transcript.whisperx[17].end 379.349
transcript.whisperx[17].text 因為它這整個大台北地區都有空氣的影響過去本席曾在王美花部長的任內的時候我有提一個臨時提案我也接受到王美花部長的一個承諾就是因為當時藍莓持續飆高所以有一年突破到704萬
transcript.whisperx[18].start 382.031
transcript.whisperx[18].end 396.476
transcript.whisperx[18].text 一年那我那時候就有講是說我們未來是以這為標準不能超過那到目前為止今年我們有沒有 目前的規劃不會都不會嗎 就是還是要信守這個承諾因為我們過去提出來就是那個是一個高標
transcript.whisperx[19].start 397.176
transcript.whisperx[19].end 425.477
transcript.whisperx[19].text 那你如果說政府一直告訴我們說非核家園再生能源等等的那燃煤相對來講是比燃氣造成的空汙都還要嚴峻也因此林口火力發電廠都還維持這樣的一個標準林口的那是超燒臨界是在煤裡面是最好的是 但它還是燃煤如果說你要再炒說像以前賴清德院長講的什麼乾淨的煤的話我想一般的國人聽不進去好不好那一分鐘的時間也是一樣因為再生能源我們現在有在講
transcript.whisperx[20].start 426.758
transcript.whisperx[20].end 447.846
transcript.whisperx[20].text 那本席另外選區另外一個部分是合一廠合一廠現在沒有重啟的計畫但本席之前就有提過合一廠的優勢在於是它相對來講還是比較北海岸地區人煙相對稀少還有它過去的電網都已經不好了也因此在那邊應該有再生能源的
transcript.whisperx[21].start 448.926
transcript.whisperx[21].end 468.384
transcript.whisperx[21].text 發展可能性如果假設我們合一廠能夠轉變為譬如說像您這邊有提到的生殖能、氫能等等的發電那未來它的電網的配置就會比較容易來供應那我過去也提出是不是針對合一廠那邊因為北海岸也有一些地熱也有一些洋流的優勢
transcript.whisperx[22].start 469.645
transcript.whisperx[22].end 486.957
transcript.whisperx[22].text 那我們目前是不是可以要求我們來研究看看因為這個有牽涉到技術面的當然當地居民還有溝通的問題但是如果說以我們現在講嘛是再生能源來講總是它的溝通成本相對比較少而且我想說因為佈置成本已經完成了嘛對
transcript.whisperx[23].start 487.757
transcript.whisperx[23].end 512.1
transcript.whisperx[23].text 過去合一廠那邊的電網都已經佈置完嘛所以現在合一廠如果說那個地方可以轉變成再生能源的發電不管是用洋流能 地熱能 氫能它都會對於我們有實質的幫助嘛好 這個我們來研究那部長什麼時候 總是研究要給我一個時間各位報告喔 那個合一廠現在最重要的工作是在做廚藝工作
transcript.whisperx[24].start 513.343
transcript.whisperx[24].end 535.098
transcript.whisperx[24].text 我們先把我們會把廚藝的工作做到一個階段廚藝工作這個是兩部都可以進行嗎可以跟委員報告我這樣子講因為牽涉到還有規模的問題因為其實合一廠是面積最小的一個廠然後我現在還要做室內乾除做了以後的空間他能不能做什麼事北海那部分如果有地熱潛力的部分我們會做地熱不然的話可能就是要做風力以這兩個來看我們會來做一些相關的規劃是啊 很好啊所以這個完全不衝突啊董事長
transcript.whisperx[25].start 542.523
transcript.whisperx[25].end 570.182
transcript.whisperx[25].text 一方面是廚藝你持續照廚藝的腳步走但另外一方面你其他的部分你開始就可以去譬如說請專家學者來做地熱的了解那邊到底有沒有豐富的資源風力到底有沒有可行那未來以及我今天不是說今天講完明天就讓你去做我是講是說未來如果廚藝完成然後還有相對的發電的時候我們那邊要有多少的風機還是我們要用怎麼樣的地熱這種事現在就可以啟動規劃吧
transcript.whisperx[26].start 572.733
transcript.whisperx[26].end 585.582
transcript.whisperx[26].text 來研究看看好 所以什麼時間點還是一樣要給我個時間表嗎我才能夠繼續追蹤三個月內本席等你三個月 好不好但是其實也請容許本席提醒部長
transcript.whisperx[27].start 587.605
transcript.whisperx[27].end 612.439
transcript.whisperx[27].text 這個質詢之前我就已經提過台電應該也已經聽過本席這樣講這個其實是台電的資源其實是經濟部的資源不要把資源放著不用所以我願意再等你三個月但我希望這三個月真的是有投入專家學者去研究了解到底那裡適合做什麼樣的再生能源然後提出具體可行的方案而不是再來
transcript.whisperx[28].start 613.82
transcript.whisperx[28].end 622.327
transcript.whisperx[28].text 再研議 或是說再來雙手一談說我們現在在做廚藝我想這樣的一個態度就不是一個積極的態度 好不好感謝