iVOD / 168728

Field Value
IVOD_ID 168728
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168728
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 2026-04-22T11:30:37+08:00
結束時間 2026-04-22T11:43:24+08:00
影片長度 00:12:47
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5b5880b40c5769f174e1f953b73ec4dd63812774c6aab6af4f2050ed7b2b649b741abac731c48f905ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蔡易餘
委員發言時間 11:30:37 - 11:43:24
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 1.22909375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 16.50096875
transcript.pyannote[1].end 17.47971875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 18.01971875
transcript.pyannote[2].end 22.71096875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 22.84596875
transcript.pyannote[3].end 24.09471875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 24.58409375
transcript.pyannote[4].end 25.64721875
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 26.22096875
transcript.pyannote[5].end 26.50784375
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 26.99721875
transcript.pyannote[6].end 27.70596875
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 28.26284375
transcript.pyannote[7].end 30.15284375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 30.96284375
transcript.pyannote[8].end 31.90784375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 37.62846875
transcript.pyannote[9].end 39.28221875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 39.82221875
transcript.pyannote[10].end 44.83409375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 44.91846875
transcript.pyannote[11].end 47.44971875
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 47.87159375
transcript.pyannote[12].end 54.67221875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 55.00971875
transcript.pyannote[13].end 59.92034375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 60.00471875
transcript.pyannote[14].end 61.37159375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 61.59096875
transcript.pyannote[15].end 65.75909375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 65.89409375
transcript.pyannote[16].end 70.85534375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 70.95659375
transcript.pyannote[17].end 76.45784375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 76.50846875
transcript.pyannote[18].end 78.95534375
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 79.36034375
transcript.pyannote[19].end 80.30534375
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 80.42346875
transcript.pyannote[20].end 81.18284375
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 82.17846875
transcript.pyannote[21].end 83.37659375
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 83.76471875
transcript.pyannote[22].end 88.25346875
transcript.pyannote[23].speaker SPEAKER_04
transcript.pyannote[23].start 88.48971875
transcript.pyannote[23].end 110.49471875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 90.68346875
transcript.pyannote[24].end 91.34159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 97.55159375
transcript.pyannote[25].end 97.93971875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 109.61721875
transcript.pyannote[26].end 119.80971875
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 111.59159375
transcript.pyannote[27].end 113.43096875
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 114.62909375
transcript.pyannote[28].end 115.64159375
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 116.18159375
transcript.pyannote[29].end 116.62034375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 120.50159375
transcript.pyannote[30].end 126.00284375
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 125.71596875
transcript.pyannote[31].end 126.22221875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 126.07034375
transcript.pyannote[32].end 131.18346875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 131.21721875
transcript.pyannote[33].end 132.73596875
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 131.48721875
transcript.pyannote[34].end 143.23221875
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 143.56971875
transcript.pyannote[35].end 144.16034375
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 144.58221875
transcript.pyannote[36].end 148.86846875
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 149.25659375
transcript.pyannote[37].end 150.20159375
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 150.50534375
transcript.pyannote[38].end 152.34471875
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 152.83409375
transcript.pyannote[39].end 153.03659375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 153.03659375
transcript.pyannote[40].end 166.78971875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 165.69284375
transcript.pyannote[41].end 166.85721875
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 166.87409375
transcript.pyannote[42].end 175.54784375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 172.18971875
transcript.pyannote[43].end 172.34159375
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 176.02034375
transcript.pyannote[44].end 180.12096875
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 180.17159375
transcript.pyannote[45].end 180.35721875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 180.35721875
transcript.pyannote[46].end 180.52596875
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 180.52596875
transcript.pyannote[47].end 180.66096875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 180.66096875
transcript.pyannote[48].end 184.45784375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 188.57534375
transcript.pyannote[49].end 188.65971875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 189.08159375
transcript.pyannote[50].end 189.38534375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 189.50346875
transcript.pyannote[51].end 189.55409375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 190.46534375
transcript.pyannote[52].end 190.90409375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 191.24159375
transcript.pyannote[53].end 191.57909375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 191.81534375
transcript.pyannote[54].end 196.18596875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 196.55721875
transcript.pyannote[55].end 202.17659375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 202.54784375
transcript.pyannote[56].end 203.27346875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 203.77971875
transcript.pyannote[57].end 209.60159375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 209.75346875
transcript.pyannote[58].end 227.82659375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 228.48471875
transcript.pyannote[59].end 234.93096875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 235.15034375
transcript.pyannote[60].end 239.16659375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 239.16659375
transcript.pyannote[61].end 239.60534375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 239.47034375
transcript.pyannote[62].end 242.86221875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 243.14909375
transcript.pyannote[63].end 245.25846875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 245.25846875
transcript.pyannote[64].end 245.61284375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 245.61284375
transcript.pyannote[65].end 253.24034375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 253.40909375
transcript.pyannote[66].end 254.97846875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 254.97846875
transcript.pyannote[67].end 260.46284375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 256.09221875
transcript.pyannote[68].end 256.66596875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 260.27721875
transcript.pyannote[69].end 263.36534375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 260.81721875
transcript.pyannote[70].end 261.27284375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 262.52159375
transcript.pyannote[71].end 270.26721875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 263.53409375
transcript.pyannote[72].end 263.73659375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 264.10784375
transcript.pyannote[73].end 264.37784375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 270.67221875
transcript.pyannote[74].end 272.19096875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 272.39346875
transcript.pyannote[75].end 275.41409375
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 276.20721875
transcript.pyannote[76].end 276.98346875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 277.97909375
transcript.pyannote[77].end 283.51409375
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 283.85159375
transcript.pyannote[78].end 289.55534375
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 290.07846875
transcript.pyannote[79].end 292.76159375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 293.06534375
transcript.pyannote[80].end 298.46534375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 298.66784375
transcript.pyannote[81].end 302.12721875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 302.22846875
transcript.pyannote[82].end 302.65034375
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 303.40971875
transcript.pyannote[83].end 308.87721875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 309.06284375
transcript.pyannote[84].end 313.88909375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 314.17596875
transcript.pyannote[85].end 322.86659375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 323.15346875
transcript.pyannote[86].end 327.03471875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 327.37221875
transcript.pyannote[87].end 330.59534375
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 330.81471875
transcript.pyannote[88].end 333.54846875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 333.75096875
transcript.pyannote[89].end 336.70409375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 336.85596875
transcript.pyannote[90].end 338.83034375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 339.15096875
transcript.pyannote[91].end 340.06221875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 340.26471875
transcript.pyannote[92].end 343.31909375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 343.57221875
transcript.pyannote[93].end 354.03471875
transcript.pyannote[94].speaker SPEAKER_03
transcript.pyannote[94].start 354.54096875
transcript.pyannote[94].end 366.03284375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 367.80471875
transcript.pyannote[95].end 368.83409375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 369.13784375
transcript.pyannote[96].end 383.14409375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 373.39034375
transcript.pyannote[97].end 373.42409375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 375.95534375
transcript.pyannote[98].end 376.32659375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 383.32971875
transcript.pyannote[99].end 389.05034375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 389.32034375
transcript.pyannote[100].end 392.66159375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 393.08346875
transcript.pyannote[101].end 408.47346875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 408.01784375
transcript.pyannote[102].end 416.86034375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 416.86034375
transcript.pyannote[103].end 416.99534375
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 416.99534375
transcript.pyannote[104].end 427.13721875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 417.01221875
transcript.pyannote[105].end 417.09659375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 421.65284375
transcript.pyannote[106].end 421.70346875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 421.88909375
transcript.pyannote[107].end 421.99034375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 427.23846875
transcript.pyannote[108].end 430.47846875
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 430.68096875
transcript.pyannote[109].end 433.02659375
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 433.48221875
transcript.pyannote[110].end 435.25409375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 435.55784375
transcript.pyannote[111].end 443.26971875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 443.60721875
transcript.pyannote[112].end 447.03284375
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 447.26909375
transcript.pyannote[113].end 451.25159375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 451.62284375
transcript.pyannote[114].end 453.07409375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 453.27659375
transcript.pyannote[115].end 455.26784375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 455.41971875
transcript.pyannote[116].end 457.54596875
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 457.95096875
transcript.pyannote[117].end 458.96346875
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 459.89159375
transcript.pyannote[118].end 460.02659375
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 460.02659375
transcript.pyannote[119].end 460.24596875
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 460.51596875
transcript.pyannote[120].end 466.57409375
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 466.67534375
transcript.pyannote[121].end 468.41346875
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 468.73409375
transcript.pyannote[122].end 470.38784375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 470.77596875
transcript.pyannote[123].end 470.80971875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 470.80971875
transcript.pyannote[124].end 471.38346875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 472.04159375
transcript.pyannote[125].end 481.03596875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 481.03596875
transcript.pyannote[126].end 483.33096875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 482.80784375
transcript.pyannote[127].end 484.17471875
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 483.97221875
transcript.pyannote[128].end 488.47784375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 488.95034375
transcript.pyannote[129].end 489.86159375
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 489.00096875
transcript.pyannote[130].end 489.25409375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 489.99659375
transcript.pyannote[131].end 490.67159375
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 491.11034375
transcript.pyannote[132].end 496.25721875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 495.19409375
transcript.pyannote[133].end 495.44721875
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 496.13909375
transcript.pyannote[134].end 496.49346875
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 496.49346875
transcript.pyannote[135].end 496.51034375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 496.54409375
transcript.pyannote[136].end 500.32409375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 500.39159375
transcript.pyannote[137].end 522.44721875
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 503.09159375
transcript.pyannote[138].end 503.36159375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 522.56534375
transcript.pyannote[139].end 525.09659375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 525.43409375
transcript.pyannote[140].end 546.27471875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 533.83784375
transcript.pyannote[141].end 534.44534375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 546.84846875
transcript.pyannote[142].end 551.23596875
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 551.57346875
transcript.pyannote[143].end 552.34971875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 552.70409375
transcript.pyannote[144].end 554.25659375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 554.98221875
transcript.pyannote[145].end 559.77471875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 560.12909375
transcript.pyannote[146].end 560.95596875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 561.20909375
transcript.pyannote[147].end 568.41471875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 568.70159375
transcript.pyannote[148].end 573.54471875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 573.96659375
transcript.pyannote[149].end 576.19409375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 576.39659375
transcript.pyannote[150].end 580.04159375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 580.39596875
transcript.pyannote[151].end 581.23971875
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 581.45909375
transcript.pyannote[152].end 582.89346875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 581.64471875
transcript.pyannote[153].end 584.90159375
transcript.pyannote[154].speaker SPEAKER_04
transcript.pyannote[154].start 582.99471875
transcript.pyannote[154].end 583.28159375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 585.40784375
transcript.pyannote[155].end 605.91096875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 606.09659375
transcript.pyannote[156].end 607.64909375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 607.91909375
transcript.pyannote[157].end 608.40846875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 608.47596875
transcript.pyannote[158].end 611.74971875
transcript.pyannote[159].speaker SPEAKER_04
transcript.pyannote[159].start 611.88471875
transcript.pyannote[159].end 612.17159375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 612.17159375
transcript.pyannote[160].end 622.98846875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 623.27534375
transcript.pyannote[161].end 625.41846875
transcript.pyannote[162].speaker SPEAKER_03
transcript.pyannote[162].start 625.95846875
transcript.pyannote[162].end 629.51909375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 629.82284375
transcript.pyannote[163].end 630.97034375
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 630.97034375
transcript.pyannote[164].end 631.20659375
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 631.20659375
transcript.pyannote[165].end 631.24034375
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 631.61159375
transcript.pyannote[166].end 631.62846875
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 631.62846875
transcript.pyannote[167].end 641.02784375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 639.61034375
transcript.pyannote[168].end 640.03221875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 641.56784375
transcript.pyannote[169].end 655.79346875
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 655.82721875
transcript.pyannote[170].end 660.26534375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 658.37534375
transcript.pyannote[171].end 658.47659375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 658.64534375
transcript.pyannote[172].end 658.72971875
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 660.43409375
transcript.pyannote[173].end 663.74159375
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 664.11284375
transcript.pyannote[174].end 665.96909375
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 664.41659375
transcript.pyannote[175].end 664.63596875
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 666.12096875
transcript.pyannote[176].end 667.28534375
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 667.35284375
transcript.pyannote[177].end 673.00596875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 669.12471875
transcript.pyannote[178].end 670.08659375
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 673.34346875
transcript.pyannote[179].end 685.13909375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 673.49534375
transcript.pyannote[180].end 673.54596875
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 673.54596875
transcript.pyannote[181].end 674.54159375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 674.54159375
transcript.pyannote[182].end 674.94659375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 675.92534375
transcript.pyannote[183].end 676.04346875
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 676.04346875
transcript.pyannote[184].end 677.10659375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 677.10659375
transcript.pyannote[185].end 677.15721875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 681.44346875
transcript.pyannote[186].end 681.74721875
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 685.40909375
transcript.pyannote[187].end 693.55971875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 686.87721875
transcript.pyannote[188].end 686.89409375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 686.89409375
transcript.pyannote[189].end 687.02909375
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 687.02909375
transcript.pyannote[190].end 687.77159375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 687.77159375
transcript.pyannote[191].end 687.99096875
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 687.99096875
transcript.pyannote[192].end 688.42971875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 690.06659375
transcript.pyannote[193].end 691.85534375
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 691.95659375
transcript.pyannote[194].end 691.97346875
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 692.02409375
transcript.pyannote[195].end 698.31846875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 696.98534375
transcript.pyannote[196].end 703.29659375
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 698.36909375
transcript.pyannote[197].end 698.75721875
transcript.pyannote[198].speaker SPEAKER_04
transcript.pyannote[198].start 700.39409375
transcript.pyannote[198].end 700.73159375
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 701.25471875
transcript.pyannote[199].end 702.28409375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 703.39784375
transcript.pyannote[200].end 705.28784375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 705.59159375
transcript.pyannote[201].end 718.14659375
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 705.64221875
transcript.pyannote[202].end 706.65471875
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 718.26471875
transcript.pyannote[203].end 718.60221875
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 718.60221875
transcript.pyannote[204].end 737.94096875
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 738.26159375
transcript.pyannote[205].end 745.07909375
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 744.65721875
transcript.pyannote[206].end 747.08721875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 747.32346875
transcript.pyannote[207].end 765.37971875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 750.76596875
transcript.pyannote[208].end 751.15409375
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 759.50721875
transcript.pyannote[209].end 760.06409375
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 764.77221875
transcript.pyannote[210].end 765.73409375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 765.68346875
transcript.pyannote[211].end 766.96596875
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 766.22346875
transcript.pyannote[212].end 766.35846875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 766.35846875
transcript.pyannote[213].end 766.69596875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 766.96596875
transcript.pyannote[214].end 767.97846875
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 767.97846875
transcript.pyannote[215].end 768.56909375
transcript.whisperx[0].start 0.289
transcript.whisperx[0].end 22.565
transcript.whisperx[0].text 請蔡議員謝謝召委召委都要陳委員無限暢談希望我有可以這樣的待遇
transcript.whisperx[1].start 24.662
transcript.whisperx[1].end 29.852
transcript.whisperx[1].text 假贊來這個有請經濟部部長請工部長
transcript.whisperx[2].start 37.762
transcript.whisperx[2].end 53.764
transcript.whisperx[2].text 蔡委員好部長好部長那昨天大概大家有看到了前天就是這個赫姆茲海峽那已經台灣有一艘台灣級的運送200萬桶的原油那即將要抵達麥寮港
transcript.whisperx[3].start 55.106
transcript.whisperx[3].end 70.689
transcript.whisperx[3].text 那我想要請教部長就是說那這樣這個原油抵達麥寮港後可以緩解包括現在在工程界說濾清的不足或者是一些塑膠的這些包裝的材質不夠的這個困境嗎那部長你判斷呢是 報告委員那個
transcript.whisperx[4].start 82.503
transcript.whisperx[4].end 96.862
transcript.whisperx[4].text 包委員那個中央公司董事長有講就是說我們大概原油一天的使用量是大概是15萬噸對所以15萬桶所以這個200萬桶的話大概可以支撐半個多月
transcript.whisperx[5].start 97.803
transcript.whisperx[5].end 119.251
transcript.whisperx[5].text 那四月份的時候事實上中國公司的原油到港大概有三艘那台塑化它是有一艘所以基本上這個供應量應該是所以有三艘啦有持續就是其他的就是除了這一艘之外還有其他其他艘會持續進來那我想要就是了解就是說因為現在
transcript.whisperx[6].start 120.543
transcript.whisperx[6].end 139.449
transcript.whisperx[6].text 我聽到了很多真的就是說在做公務工程的都在反映因為歷清的問題造成他現在的施工必須要暫緩歷清我們重新盤點大概可以供應到六月份六月底那我們現在也請重要公司
transcript.whisperx[7].start 140.889
transcript.whisperx[7].end 156.565
transcript.whisperx[7].text 直接對外來做採購那台塑化的部分他們因為有進來的這個原油他也可以有一些也可以煉製剩下這個瀝青出來 對好 沒關係所以 不用再衍生問題出來第一位就是說對這一些承包商
transcript.whisperx[8].start 160.229
transcript.whisperx[8].end 184.436
transcript.whisperx[8].text 他們可能會有說因為疫情的問題他們的工期是需要檢討工期所以委員假如說有比較明確的個案給我們來做一些媒合像其他的地區它有比較急迫性那讓我們了解我們來做一些媒合的動作好 那我是在請這個台電的董事長委員好來
transcript.whisperx[9].start 191.884
transcript.whisperx[9].end 218.065
transcript.whisperx[9].text 部長跟董事長我還是要問一下因為丹納斯的到現在已經經過了超過8個月的時間那這個丹納斯的條例後那我們當時是針對很多重要的一些路就是說比較屬於它的地基會比較強的就是包括台17台19線的一個電纜地下化
transcript.whisperx[10].start 221.027
transcript.whisperx[10].end 227.622
transcript.whisperx[10].text 那我想請教董事長那整個這些電腦地下化這個在特別預算執行那現在推動的狀況如何
transcript.whisperx[11].start 228.624
transcript.whisperx[11].end 252.876
transcript.whisperx[11].text 那個包委員第一件事情嘉義縣目前我們同樣回報是都已經發包了這是第一點第二點是計執行率現在來看就是它是名列前茅的那主要就是因為我們要取得路證等等還要做一些交違只要是順利我們速度就會快那土方這個地方也能夠做一定程度的解決所以嘉義縣在整個速度來看是排在比較前面進度還不錯
transcript.whisperx[12].start 253.776
transcript.whisperx[12].end 273.247
transcript.whisperx[12].text 所以該一關的整個進度都會有啦因為這特別條例他都頂兩年所以我這個進度我是我們希望執行速度能夠盡量執行技術可以越快越好啦好那就這個還是要持續來希望可以加速那第二個就是說這一個在中普這邊啦中普這邊那
transcript.whisperx[13].start 278.035
transcript.whisperx[13].end 301.87
transcript.whisperx[13].text 中友有一個探勘的事業部這個可能要請中友了有一個探勘事業部那這個探勘事業部在11月11號事實上有針對中埔竹頭旗段400之一地號高溫地下水層的一個評估報告那這個評估報告他主要是認定中埔在這個路段在這個地段
transcript.whisperx[14].start 303.444
transcript.whisperx[14].end 319.313
transcript.whisperx[14].text 如果往下挖掘的話只要挖掘到420到730米的左右他們可以井底的地層溫度可以到43度那如果你挖到了分水溪的下段也就是100米至1000米至1200米
transcript.whisperx[15].start 323.535
transcript.whisperx[15].end 329.96
transcript.whisperx[15].text 以這個這一段的話底層溫度可以到61度你如果挖到這個鳥嘴層的上段它的溫度可以到1200度你挖到了1200公尺到1400公尺也底層溫度可以到70度所以基本上這一個挖井它有地熱的一個條件那我想請教的話就是經濟部跟中油你們針對這樣有發展有所謂的一個地熱的一個條件的話
transcript.whisperx[16].start 353.575
transcript.whisperx[16].end 357.837
transcript.whisperx[16].text 那你們有辦法來針對這些計畫來實施後續的專探那後續的一些投資計畫嗎
transcript.whisperx[17].start 368.09
transcript.whisperx[17].end 382.842
transcript.whisperx[17].text 報告委員,有關嘉峪中浦溫泉這個探警的部分,應該不是中油公司去專探的,應該是民間業者不過他這些研究報告的話,大概有請我們公司一起來共同探討,這可能性
transcript.whisperx[18].start 383.482
transcript.whisperx[18].end 404.629
transcript.whisperx[18].text 一般我們判斷的基準大概就是這個地熱的溫度呢到達150度C應該就具備了可以開發的一個評估啦所以以這樣的一個地區的話如果是這樣研究報告是可以做這樣的一個後續的探討的話我想我們中原公司跟業者之間可以做進一步的交流
transcript.whisperx[19].start 405.049
transcript.whisperx[19].end 421.5
transcript.whisperx[19].text 對 因為這個業者主要他是針對溫泉所以溫泉他大概以這個他去做狀態他就只研究到1400米那你低熱當然就要再往下但是再往下的這個評估大概民間就沒有辦法了
transcript.whisperx[20].start 421.96
transcript.whisperx[20].end 448.916
transcript.whisperx[20].text 就只能靠中油你們是最專業的嘛而且你們最近在宜蘭這邊我看到一些新聞說有取得非常大的成功就是說往下這個地熱已經到達了180度嘛這是我看到的一些在宜蘭的一個狀況那如果同樣的在我們中埔有這樣的一個潛力的話那也許這就不是民間有辦法去再往下去撞灘去了解因為他們這是針對溫泉的一個研究
transcript.whisperx[21].start 452.018
transcript.whisperx[21].end 455.621
transcript.whisperx[21].text 那有溫泉如果再往下有地熱的話那這裡的條件就會更好這應該是沒有錯吧
transcript.whisperx[22].start 460.517
transcript.whisperx[22].end 486.534
transcript.whisperx[22].text 因為我們現在有補助啦如果民間業者他要打比較深的這個叫深層低熱的話事實上是政府有補助的補助的比例大概是多少我們有一個計算的公式然後最高每一家我記得好像是1億元啦就是但是要看他的那個打的深度所以還是要民間發動然後你們補助對對對沒有辦法直接就是由中油這邊來啟動這樣的一個
transcript.whisperx[23].start 489.035
transcript.whisperx[23].end 510.103
transcript.whisperx[23].text 中友另用中友公司因為他現在主要是在比較北部那個地方在宜蘭地區嘛對如果宜蘭地區那邊告一段落的話也可以到中府這邊來那應該是可以可以先嘗試去至少先去評估看看嘛就是說來那裡的環境看而且事實上我們嘉義跟中友關係就很深啊你們整個
transcript.whisperx[24].start 510.783
transcript.whisperx[24].end 527.295
transcript.whisperx[24].text 我們嘉義市這邊就有整個中友的那個資訊中心啊都是在都在嘉義啊所以如果你們中友可以在我們中埔這個地方那投入這樣的一些一些撰刊那我想我我這樣判斷起來依這一份報告這一份雖然還沒有到
transcript.whisperx[25].start 530.017
transcript.whisperx[25].end 544.832
transcript.whisperx[25].text 打地熱的研究但是我覺得是很有潛力的這個應該是值得中油去去做這樣的一個未來的一個規劃是是我想我們可以去做共同的探討好謝謝董事長好那我再最後一個要請教這個部長
transcript.whisperx[26].start 546.906
transcript.whisperx[26].end 575.762
transcript.whisperx[26].text 就是部長因為我最近也是看到這個一些新聞看起來齁這個在風電的這一塊很多產業齁很多外商基本上決定要退出台灣那從包括呃加德西外那法國政府100%持有的這個能源的法國電力齁這個再生能源公司叫做EDF齁也決定要退出退出那看起來就是說
transcript.whisperx[27].start 576.502
transcript.whisperx[27].end 582.81
transcript.whisperx[27].text 台灣的風電似乎走進了一個瓶頸但是這件事讓我有一點納悶我們這個風電廠如果以前兩期的開發經過了小犬颱風經過了當納斯颱風
transcript.whisperx[28].start 593.764
transcript.whisperx[28].end 600.107
transcript.whisperx[28].text 這都是非常強的而且丹納斯颱風甚至到了14級15級風那他們可以這樣依然都是我看起來是沒有一個這個風電的這個電塔有去倒掉嘛
transcript.whisperx[29].start 612.253
transcript.whisperx[29].end 638.89
transcript.whisperx[29].text 所以看起來就是說水價基礎的技術也夠成熟那整個發電的效率在冬季的時候也可以達到非常好的發電效率那怎麼會變成說現在外商覺得台灣的這個投資環境已經包含不會因為第一期 您剛才提到第一期第二期大家都要完成了那現在就是有退出的比較有問題就是3.1 3.2某些廠商
transcript.whisperx[30].start 641.796
transcript.whisperx[30].end 663.513
transcript.whisperx[30].text 說老實話這個應該是跟當初的這個選商機制是有一些關係啊我們現在3.3就會回到另外的選商機制那現在表達願意參與的這個廠商家屬也非常多包括國外的有幾位這個都來拜會包括我們駐台的一些代表
transcript.whisperx[31].start 664.353
transcript.whisperx[31].end 682.937
transcript.whisperx[31].text 他們也表達很大的興趣3.3的部分所以保定你有信心就是說3.3按推動的話因為這個風電我想我們整個政策是延續的嘛而且縱使現在有在做核電重啟的評估但是它跟風電它跟這個綠電的產業政策這個
transcript.whisperx[32].start 686.118
transcript.whisperx[32].end 705.012
transcript.whisperx[32].text 這個並不違背啊 並不是說有評估這邊豐電這邊就要把整個把它停掉我們很快3.3完以後很快的3.4就會推出來還是會出出來 所以政府在綠電的推動我想基本上會持續嘛 而且我再說著台積電他現在需要R1版
transcript.whisperx[33].start 706.092
transcript.whisperx[33].end 726.332
transcript.whisperx[33].text 它在R100它需要綠電R100的要求核電沒有在R100裡面核電沒有所以現在幾乎台灣的風電看起來台積電就是買了一半以上吧所以它有這樣高度的需求那台灣的綠電的一個發展這事情不能我知道
transcript.whisperx[34].start 726.872
transcript.whisperx[34].end 745.833
transcript.whisperx[34].text 在野黨好像對綠電是有很大的一些錯誤的誤解那甚至是批判造成很多政策在推動上是沒順利這個是感受得到但是站在經濟部的角度你們對於綠電的推動應該要持續的力道繼續往前推吧是沒有錯我們還會加強
transcript.whisperx[35].start 747.755
transcript.whisperx[35].end 764.23
transcript.whisperx[35].text 好 那就未來就是希望部長這部分 也許再跟這一些業者吼 大家吼 大家這樣開槓一下然後了解一下 到底他們現在遇到的困境是什麼 我就想整個已經邁向成熟的政策 不可以這樣走回去不會 不會 好 謝謝好 謝謝參與委員質詢