iVOD / 167885

Field Value
IVOD_ID 167885
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167885
日期 2026-03-25
會議資料.會議代碼 委員會-11-5-19-4
會議資料.會議代碼:str 第11屆第5會期經濟委員會第4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 4
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4次全體委員會議
影片種類 Clip
開始時間 2026-03-25T11:25:49+08:00
結束時間 2026-03-25T11:35:43+08:00
影片長度 00:09:54
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/755992caaad3baaefa9a54e625b1a32f2ba03baa58d693134b8922a2b60b811d8a94a20e7e7dac435ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳超明
委員發言時間 11:25:49 - 11:35:43
會議時間 2026-03-25T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第4次全體委員會議(事由:邀請經濟部部長列席報告業務概況,並備質詢。 邀請經濟部部長率台灣電力公司董事長就「核二、核三廠自主安全檢查現況與再運轉計畫及政府『重啟核電三原則』之歷年進度與現況說明」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.09846875
transcript.pyannote[0].end 0.18284375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 0.30096875
transcript.pyannote[1].end 2.51159375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 11.87721875
transcript.pyannote[2].end 12.83909375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 13.17659375
transcript.pyannote[3].end 15.35346875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 15.74159375
transcript.pyannote[4].end 16.56846875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 22.05284375
transcript.pyannote[5].end 23.28471875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 23.57159375
transcript.pyannote[6].end 27.72284375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 27.79034375
transcript.pyannote[7].end 36.76784375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 36.90284375
transcript.pyannote[8].end 40.10909375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 40.51409375
transcript.pyannote[9].end 45.77909375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 46.11659375
transcript.pyannote[10].end 50.50409375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 50.97659375
transcript.pyannote[11].end 52.64721875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 53.27159375
transcript.pyannote[12].end 54.70596875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 58.13159375
transcript.pyannote[13].end 61.75971875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 61.86096875
transcript.pyannote[14].end 65.91096875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 66.21471875
transcript.pyannote[15].end 68.57721875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 68.67846875
transcript.pyannote[16].end 73.33596875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 74.21346875
transcript.pyannote[17].end 84.23721875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 84.60846875
transcript.pyannote[18].end 86.71784375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 87.10596875
transcript.pyannote[19].end 88.30409375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 88.87784375
transcript.pyannote[20].end 100.69034375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 101.12909375
transcript.pyannote[21].end 104.94284375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 105.36471875
transcript.pyannote[22].end 107.65971875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 108.31784375
transcript.pyannote[23].end 110.62971875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 111.13596875
transcript.pyannote[24].end 114.25784375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 114.71346875
transcript.pyannote[25].end 116.28284375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 117.53159375
transcript.pyannote[26].end 118.79721875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 119.21909375
transcript.pyannote[27].end 120.21471875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 120.67034375
transcript.pyannote[28].end 123.31971875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 123.43784375
transcript.pyannote[29].end 125.09159375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 125.51346875
transcript.pyannote[30].end 132.04409375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 132.63471875
transcript.pyannote[31].end 134.03534375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 134.03534375
transcript.pyannote[32].end 135.23346875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 135.58784375
transcript.pyannote[33].end 150.38721875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 141.05534375
transcript.pyannote[34].end 141.93284375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 149.71221875
transcript.pyannote[35].end 152.85096875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 151.26471875
transcript.pyannote[36].end 171.12659375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 167.38034375
transcript.pyannote[37].end 168.89909375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 169.77659375
transcript.pyannote[38].end 172.84784375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 171.54846875
transcript.pyannote[39].end 173.03346875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 173.03346875
transcript.pyannote[40].end 173.48909375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 173.72534375
transcript.pyannote[41].end 183.02346875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 173.79284375
transcript.pyannote[42].end 174.40034375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 177.31971875
transcript.pyannote[43].end 180.59346875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 183.02346875
transcript.pyannote[44].end 185.31846875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 184.87971875
transcript.pyannote[45].end 185.13284375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 185.47034375
transcript.pyannote[46].end 191.73096875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 186.09471875
transcript.pyannote[47].end 186.66846875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 192.28784375
transcript.pyannote[48].end 209.44971875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 209.73659375
transcript.pyannote[49].end 218.30909375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 216.60471875
transcript.pyannote[50].end 219.37221875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 218.37659375
transcript.pyannote[51].end 219.49034375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 219.49034375
transcript.pyannote[52].end 219.57471875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 219.57471875
transcript.pyannote[53].end 219.96284375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 219.96284375
transcript.pyannote[54].end 220.16534375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 220.16534375
transcript.pyannote[55].end 220.30034375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 220.48596875
transcript.pyannote[56].end 230.69534375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 222.79784375
transcript.pyannote[57].end 224.38409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 231.15096875
transcript.pyannote[58].end 237.88409375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 238.22159375
transcript.pyannote[59].end 241.81596875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 242.01846875
transcript.pyannote[60].end 248.36346875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 243.30096875
transcript.pyannote[61].end 247.92471875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 248.59971875
transcript.pyannote[62].end 249.98346875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 251.24909375
transcript.pyannote[63].end 260.04096875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 256.80096875
transcript.pyannote[64].end 257.59409375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 260.66534375
transcript.pyannote[65].end 269.13659375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 269.67659375
transcript.pyannote[66].end 284.71221875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 285.58971875
transcript.pyannote[67].end 290.65221875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 290.87159375
transcript.pyannote[68].end 293.01471875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 293.36909375
transcript.pyannote[69].end 298.02659375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 298.02659375
transcript.pyannote[70].end 298.60034375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 299.49471875
transcript.pyannote[71].end 300.42284375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 300.54096875
transcript.pyannote[72].end 308.64096875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 309.16409375
transcript.pyannote[73].end 313.97346875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 309.60284375
transcript.pyannote[74].end 310.12596875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 313.18034375
transcript.pyannote[75].end 313.63596875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 313.97346875
transcript.pyannote[76].end 324.03096875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 324.03096875
transcript.pyannote[77].end 325.83659375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 326.59596875
transcript.pyannote[78].end 336.48471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 336.70409375
transcript.pyannote[79].end 337.81784375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 337.95284375
transcript.pyannote[80].end 338.00346875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 338.00346875
transcript.pyannote[81].end 338.05409375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 338.05409375
transcript.pyannote[82].end 338.27346875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 338.27346875
transcript.pyannote[83].end 338.29034375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 338.49284375
transcript.pyannote[84].end 339.58971875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 340.02846875
transcript.pyannote[85].end 342.18846875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 340.92284375
transcript.pyannote[86].end 342.88034375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 342.88034375
transcript.pyannote[87].end 342.96471875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 342.96471875
transcript.pyannote[88].end 350.62596875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 344.29784375
transcript.pyannote[89].end 344.87159375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 346.52534375
transcript.pyannote[90].end 346.57596875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 346.69409375
transcript.pyannote[91].end 346.72784375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 348.31409375
transcript.pyannote[92].end 349.78221875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 351.14909375
transcript.pyannote[93].end 353.98409375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 360.73409375
transcript.pyannote[94].end 361.12221875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 361.27409375
transcript.pyannote[95].end 363.09659375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 363.75471875
transcript.pyannote[96].end 365.32409375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 366.06659375
transcript.pyannote[97].end 366.70784375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 367.73721875
transcript.pyannote[98].end 368.34471875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 369.07034375
transcript.pyannote[99].end 369.79596875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 370.09971875
transcript.pyannote[100].end 371.85471875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 372.24284375
transcript.pyannote[101].end 372.47909375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 372.68159375
transcript.pyannote[102].end 373.54221875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 373.96409375
transcript.pyannote[103].end 374.40284375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 375.12846875
transcript.pyannote[104].end 380.73096875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 381.38909375
transcript.pyannote[105].end 385.15221875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 385.52346875
transcript.pyannote[106].end 388.30784375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 388.89846875
transcript.pyannote[107].end 392.27346875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 393.37034375
transcript.pyannote[108].end 393.99471875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 394.82159375
transcript.pyannote[109].end 395.31096875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 395.31096875
transcript.pyannote[110].end 395.66534375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 395.66534375
transcript.pyannote[111].end 395.74971875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 395.74971875
transcript.pyannote[112].end 395.80034375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 396.54284375
transcript.pyannote[113].end 404.25471875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 404.91284375
transcript.pyannote[114].end 409.24971875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 409.65471875
transcript.pyannote[115].end 411.59534375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 412.32096875
transcript.pyannote[116].end 415.39221875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 415.64534375
transcript.pyannote[117].end 418.95284375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 419.22284375
transcript.pyannote[118].end 420.87659375
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 420.87659375
transcript.pyannote[119].end 440.02971875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 420.92721875
transcript.pyannote[120].end 421.80471875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 440.75534375
transcript.pyannote[121].end 440.99159375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 441.49784375
transcript.pyannote[122].end 443.45534375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 444.29909375
transcript.pyannote[123].end 451.84221875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 448.80471875
transcript.pyannote[124].end 449.88471875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 450.03659375
transcript.pyannote[125].end 463.77284375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 464.17784375
transcript.pyannote[126].end 465.24096875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 465.84846875
transcript.pyannote[127].end 466.74284375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 467.43471875
transcript.pyannote[128].end 468.44721875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 468.88596875
transcript.pyannote[129].end 470.70846875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 470.70846875
transcript.pyannote[130].end 470.72534375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 471.70409375
transcript.pyannote[131].end 471.72096875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 471.72096875
transcript.pyannote[132].end 478.45409375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 478.84221875
transcript.pyannote[133].end 485.42346875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 485.42346875
transcript.pyannote[134].end 491.81909375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 485.60909375
transcript.pyannote[135].end 486.46971875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 492.15659375
transcript.pyannote[136].end 497.50596875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 498.46784375
transcript.pyannote[137].end 503.02409375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 503.86784375
transcript.pyannote[138].end 511.07346875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 511.17471875
transcript.pyannote[139].end 513.77346875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 514.31346875
transcript.pyannote[140].end 522.19409375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 522.48096875
transcript.pyannote[141].end 529.85534375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 530.39534375
transcript.pyannote[142].end 532.48784375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 532.94346875
transcript.pyannote[143].end 534.59721875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 535.60971875
transcript.pyannote[144].end 538.73159375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 539.23784375
transcript.pyannote[145].end 540.33471875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 541.60034375
transcript.pyannote[146].end 541.63409375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 541.63409375
transcript.pyannote[147].end 541.65096875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 541.65096875
transcript.pyannote[148].end 542.03909375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 542.03909375
transcript.pyannote[149].end 544.99221875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 543.08534375
transcript.pyannote[150].end 543.64221875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 545.65034375
transcript.pyannote[151].end 547.60784375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 547.60784375
transcript.pyannote[152].end 550.15596875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 547.62471875
transcript.pyannote[153].end 548.63721875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 550.71284375
transcript.pyannote[154].end 553.78409375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 553.91909375
transcript.pyannote[155].end 554.93159375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 554.57721875
transcript.pyannote[156].end 558.59346875
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 559.03221875
transcript.pyannote[157].end 559.77471875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 560.46659375
transcript.pyannote[158].end 561.56346875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 561.88409375
transcript.pyannote[159].end 565.73159375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 566.15346875
transcript.pyannote[160].end 570.62534375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 568.36409375
transcript.pyannote[161].end 568.87034375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 570.18659375
transcript.pyannote[162].end 571.03034375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 570.97971875
transcript.pyannote[163].end 573.17346875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 573.78096875
transcript.pyannote[164].end 575.13096875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 575.53596875
transcript.pyannote[165].end 584.81721875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 585.20534375
transcript.pyannote[166].end 589.71096875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 590.31846875
transcript.pyannote[167].end 592.59659375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 594.48659375
transcript.pyannote[168].end 594.97596875
transcript.whisperx[0].start 0.097
transcript.whisperx[0].end 0.897
transcript.whisperx[0].text 首先有請我們的國務部長有請國務部長
transcript.whisperx[1].start 23.8
transcript.whisperx[1].end 50.077
transcript.whisperx[1].text 蔣部長現在不是早安快到中午啦謝謝你我今天仔細看了你這個業務報告寫得非常清楚非常明確真的是可以看的一個業務報告尤其現在經濟發展的階段台灣很幸運剛好抓到AI的機會但是我們又面臨了一個問題那今天我首先要請教你的問題就是關於水的問題
transcript.whisperx[2].start 51.078
transcript.whisperx[2].end 73.27
transcript.whisperx[2].text 我們麻煩水利,呃,林市長。在這裡面的報告裡面,應用極端氣候,新注水,新供水,降落水,這裡面談到了一個問題。今年的冬季雨量,是75年來最少的。
transcript.whisperx[3].start 74.658
transcript.whisperx[3].end 90.428
transcript.whisperx[3].text 尤其在新植、寶山水庫、寶一水庫,現在的吸水量降到23、24%左右。新植縣的隔壁就是苗栗縣,以前的百年乾旱,
transcript.whisperx[4].start 94.07
transcript.whisperx[4].end 115.996
transcript.whisperx[4].text 我們的水庫最多,結果我們是減壓供水,還要隔天輪供那現在苗栗縣永和山40.69,明德水庫33.6,梨一潭水庫30.7那梨一潭水庫主要是供應給台中的,其實苗栗用的不多
transcript.whisperx[5].start 117.571
transcript.whisperx[5].end 131.126
transcript.whisperx[5].text 那我在這個地方,我現在很擔心百年乾旱又要來了,依照這個吸水率,你們應該提早準備,我不希望再發生百年乾旱一樣,被罵到臭頭了,我告訴你。
transcript.whisperx[6].start 132.928
transcript.whisperx[6].end 149.68
transcript.whisperx[6].text 有沒有可能百年乾旱再來報告委員你掌握得非常的好不是好被人家罵到怕了我跟你講有河山水庫它目前的一個蓄水量確實比往年差
transcript.whisperx[7].start 151.041
transcript.whisperx[7].end 170.895
transcript.whisperx[7].text 但是他比白人他好很多啦事實上我跟委員報告我們每天都有在掌控這個水清一天檢查有12萬、13萬、45萬那這個部分我們都有掌握我們可以去評估他未來的趨勢我認為苗栗沒有大問題我相信不會有問題啦
transcript.whisperx[8].start 171.896
transcript.whisperx[8].end 191.081
transcript.whisperx[8].text 泥潭現在偏低現在是看到新池縣的時候就想到苗栗縣兩個公園那我特別要跟委員報告一件很重的事那你們會不會填灌休耕還是休耕的時候填灌你要準備這一區啊是 報告委員會不會其實我們在做一個調度最關鍵的精神就是如果本區
transcript.whisperx[9].start 192.361
transcript.whisperx[9].end 209.034
transcript.whisperx[9].text 它本身是不足我們不會來做跨區供應像現在苗栗每天供應到新竹有5.5萬噸假設永和山將來越來越枯旱我們就會停止這個供應所以這個是我們的第一個要務那以目前來看永和山
transcript.whisperx[10].start 210.014
transcript.whisperx[10].end 221.125
transcript.whisperx[10].text 在六月底前應該沒有大問題我們都持續掌控中沒有太大問題六月底以前我們是以六月底來繼續改革那一邊確實鯉魚潭的水庫他的狀況比較偏差所以昨天已經改成綠燈
transcript.whisperx[11].start 231.935
transcript.whisperx[11].end 256.585
transcript.whisperx[11].text 這個台中改成綠燈就是因為我們離台水庫稍微趨緊那這個我們持續掌控我每次都跟你們在賭賭天氣會不會下雨啦賭有兩次啦不過四月初有兩波啦四月到四月中旬有兩波降我們再期待是 謝謝再來工作報告裡面有關於協志企業請回座林市長因應中東戰事的衝擊啊
transcript.whisperx[12].start 260.768
transcript.whisperx[12].end 284.034
transcript.whisperx[12].text 那中東戰軍對於國內石化顏料及下游產品的影響非常大部長我有看過你報告但是你的報告到底是不是真的能解決問題昨天我高鐵站碰到一個苗栗鄉親他是做酒精的那個塑膠罐他說現在買不到顏料工廠都不報價
transcript.whisperx[13].start 285.883
transcript.whisperx[13].end 297.925
transcript.whisperx[13].text 現在民進一帝,多一帝高帝,你告訴我頭就痛,你有沒有什麼解決的方案?真的都不報價,你不要報告寫得很好,確實大的廠商都不報價,
transcript.whisperx[14].start 299.897
transcript.whisperx[14].end 324.604
transcript.whisperx[14].text 我們產業署的同仁事實上都有依依跟這些上游廠商聯絡啦那他們是說供應量還是會持續供應啦也許會少量供應會減少一點點啦不是減少一點點不報價的就是不供給了啦他說要等到失業中期啦現在只會用庫存他們都在擔心啦如果真的是不報價不報價等於不供應啦
transcript.whisperx[15].start 326.656
transcript.whisperx[15].end 352.216
transcript.whisperx[15].text 委員如果有這個特別案例的話,讓我們知道,我們來協調因為我們還是多方面去問嘛但是怕是掛一漏萬,掛漏萬一的話,讓我們知道這個信息我就直接打電話給你囉,你要幫我協調這個問題我回去跟他們講,我希望他們能解決對,我們可以協調好,署長請回座那台電終於有兩個爛兄爛弟
transcript.whisperx[16].start 360.779
transcript.whisperx[16].end 362.601
transcript.whisperx[16].text 部長,現在大家最怕斷氣,你覺得會不會斷氣?絕對不會
transcript.whisperx[17].start 368.022
transcript.whisperx[17].end 391.684
transcript.whisperx[17].text 絕對不會應該不會不會不會很有自信非常有自信那我們大總統講我們天然氣存料已經有14天我們的食油存料有110天煤油存料我們有40幾天那現在核二核三要重新啟動對不對
transcript.whisperx[18].start 395.321
transcript.whisperx[18].end 411.329
transcript.whisperx[18].text 現在自主安全檢查當中我現在想不到一個問題,我們的總統報告說20320以前台灣不缺電,即使用不到核電,現在突然要啟動這個核電是怎樣?真正的原因到底是什麼?
transcript.whisperx[19].start 413.007
transcript.whisperx[19].end 439.93
transcript.whisperx[19].text 執政的原因是因為大院那個核安法修正以後讓台電公司有這樣的法律意義你們一切都不肯什麼現在肯我是支持核電要重啟的喔好我先聲明這一點但是你們講的原因道理讓我覺得莫名其妙你們的繩子牌勾到很丟丟沒有啦啊真的啊 那個郭部長我跟你講我說你亂講你的繩子牌要把它毀掉我跟你講你部長要下台啊
transcript.whisperx[20].start 441.58
transcript.whisperx[20].end 442.869
transcript.whisperx[20].text 報告委員因為以前的
transcript.whisperx[21].start 444.332
transcript.whisperx[21].end 470.344
transcript.whisperx[21].text 核安法就規定嘛只能運轉40年,40年就不能再延但是現在因為法律的修正以後核電要起來真的也是有必要的我只能暗示你們這樣我看你們要啟動核電大概跟這個會稍微有關係啦我是用想的才想我現在再問你,再跟你請教核二核三重新啟動要花多少錢
transcript.whisperx[22].start 471.972
transcript.whisperx[22].end 497.278
transcript.whisperx[22].text 多少錢現在還沒有辦法完全知道因為他要看自主安全檢查的過程當中那些設備老化的狀況有沒有要更換如果不行要更換那這個錢就要重新算所以現在 陳董事長你台電虧那麼多了現在核二核三又起了你這個錢出得了嗎還是再多不醜錢越多越好我越不怕
transcript.whisperx[23].start 498.71
transcript.whisperx[23].end 502.599
transcript.whisperx[23].text 你大概要預計如果合二合三啟動要花多少錢
transcript.whisperx[24].start 504.199
transcript.whisperx[24].end 528.867
transcript.whisperx[24].text 所以剛剛提到的還是要看這個過程才知道我看啦也沒有花上錢以上大概也解決不了所以這筆錢台電虧了那麼多都是政策上的犧牲票啊終於會很可憐你去高價買了那麼多五六條船七八條船一條船虧了那麼多
transcript.whisperx[25].start 530.707
transcript.whisperx[25].end 549.585
transcript.whisperx[25].text 從台電跟他要一些回來啊還是全部你們吸收我說你們兩個虧錢啊兩個互相掩護啊連連虧那賺錢不是這樣賺的啊沒有中東戰士的話這兩家公司今年理論上這兩家很可憐的董事長啊
transcript.whisperx[26].start 550.785
transcript.whisperx[26].end 572.752
transcript.whisperx[26].text 部長你要好好疼惜他,都是為了你們啦我是講真的,本來人才很多,尤其你啟動那個河河山我們以前的河邊人才都被韓國人洗走了我們那段天下來都被洗走了我告訴你,看你的報告,所以這是全都的政策
transcript.whisperx[27].start 574.092
transcript.whisperx[27].end 591.231
transcript.whisperx[27].text 備而不用嘛隨時要準備有可能突然的事情發生現在在做不為晚兩個董事長要好好把天秀起來反正他們也虧錢啊但是虧錢都為你們我在講都是為了政策的錯誤謝謝好我們謝謝陳昌明委員接下來