iVOD / 168307

Field Value
IVOD_ID 168307
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168307
日期 2026-04-08
會議資料.會議代碼 委員會-11-5-19-7
會議資料.會議代碼:str 第11屆第5會期經濟委員會第7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 7
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7次全體委員會議
影片種類 Clip
開始時間 2026-04-08T11:05:34+08:00
結束時間 2026-04-08T11:19:13+08:00
影片長度 00:13:39
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/70d8fc05dcd8abb0b190e478dc6e3d15a7afadf2dd1952ecb9fb3178c14150d920b7ea364581afcb5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳超明
委員發言時間 11:05:34 - 11:19:13
會議時間 2026-04-08T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第7次全體委員會議(事由:邀請經濟部部長率台灣電力股份有限公司董事長及台灣中油股份有限公司董事長、行政院經貿談判辦公室首長、財政部首長、行政院主計總處首長就「台美關稅協定(ART)中關於『擴大採購及購買』(原油、天然氣、發電設備等)項目之評估、規劃及涉及之問題與工作,並就台灣中油股份有限公司之增資案」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 5.11034375
transcript.pyannote[0].end 6.27471875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 7.03409375
transcript.pyannote[1].end 14.93159375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 20.36534375
transcript.pyannote[2].end 20.90534375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 21.49596875
transcript.pyannote[3].end 23.04846875
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 23.04846875
transcript.pyannote[4].end 23.06534375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 25.39409375
transcript.pyannote[5].end 26.28846875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 29.37659375
transcript.pyannote[6].end 29.81534375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 30.15284375
transcript.pyannote[7].end 31.63784375
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 31.95846875
transcript.pyannote[8].end 32.61659375
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 35.55284375
transcript.pyannote[9].end 37.29096875
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 37.67909375
transcript.pyannote[10].end 39.45096875
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 58.03034375
transcript.pyannote[11].end 60.57846875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 64.39221875
transcript.pyannote[12].end 64.45971875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 64.45971875
transcript.pyannote[13].end 64.51034375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 64.51034375
transcript.pyannote[14].end 64.78034375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 64.78034375
transcript.pyannote[15].end 64.79721875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 64.79721875
transcript.pyannote[16].end 64.88159375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 64.88159375
transcript.pyannote[17].end 64.89846875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 64.89846875
transcript.pyannote[18].end 66.02909375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 66.82221875
transcript.pyannote[19].end 67.76721875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 68.08784375
transcript.pyannote[20].end 69.57284375
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 70.01159375
transcript.pyannote[21].end 70.77096875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 71.47971875
transcript.pyannote[22].end 73.26846875
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 73.57221875
transcript.pyannote[23].end 77.82471875
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 78.14534375
transcript.pyannote[24].end 79.95096875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 80.74409375
transcript.pyannote[25].end 82.09409375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 82.65096875
transcript.pyannote[26].end 85.31721875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 86.48159375
transcript.pyannote[27].end 87.08909375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 87.37596875
transcript.pyannote[28].end 90.10971875
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 90.68346875
transcript.pyannote[29].end 92.30346875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 92.87721875
transcript.pyannote[30].end 94.10909375
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 95.17221875
transcript.pyannote[31].end 99.42471875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 99.72846875
transcript.pyannote[32].end 101.44971875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 101.90534375
transcript.pyannote[33].end 103.27221875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 103.77846875
transcript.pyannote[34].end 105.95534375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 106.42784375
transcript.pyannote[35].end 109.29659375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 110.27534375
transcript.pyannote[36].end 112.75596875
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 113.36346875
transcript.pyannote[37].end 115.11846875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 115.59096875
transcript.pyannote[38].end 116.21534375
transcript.pyannote[39].speaker SPEAKER_03
transcript.pyannote[39].start 116.56971875
transcript.pyannote[39].end 117.27846875
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 117.53159375
transcript.pyannote[40].end 118.27409375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 118.72971875
transcript.pyannote[41].end 122.44221875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 123.10034375
transcript.pyannote[42].end 126.20534375
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 126.52596875
transcript.pyannote[43].end 127.38659375
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 127.62284375
transcript.pyannote[44].end 128.56784375
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 128.92221875
transcript.pyannote[45].end 131.62221875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 132.09471875
transcript.pyannote[46].end 134.44034375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 135.36846875
transcript.pyannote[47].end 138.45659375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 138.96284375
transcript.pyannote[48].end 141.51096875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 142.50659375
transcript.pyannote[49].end 144.21096875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 145.24034375
transcript.pyannote[50].end 151.88909375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 152.46284375
transcript.pyannote[51].end 155.98971875
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 156.49596875
transcript.pyannote[52].end 165.97971875
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 166.94159375
transcript.pyannote[53].end 167.41409375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 167.93721875
transcript.pyannote[54].end 169.01721875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 169.72596875
transcript.pyannote[55].end 171.41346875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 171.85221875
transcript.pyannote[56].end 178.02846875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 178.19721875
transcript.pyannote[57].end 183.95159375
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 185.68971875
transcript.pyannote[58].end 186.02721875
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 186.38159375
transcript.pyannote[59].end 192.99659375
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 193.99221875
transcript.pyannote[60].end 196.23659375
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 197.02971875
transcript.pyannote[61].end 198.34596875
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 198.76784375
transcript.pyannote[62].end 199.56096875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 199.98284375
transcript.pyannote[63].end 201.97409375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 202.48034375
transcript.pyannote[64].end 205.02846875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 205.63596875
transcript.pyannote[65].end 207.42471875
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 208.21784375
transcript.pyannote[66].end 210.00659375
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 210.76596875
transcript.pyannote[67].end 213.41534375
transcript.pyannote[68].speaker SPEAKER_03
transcript.pyannote[68].start 213.48284375
transcript.pyannote[68].end 216.31784375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 217.87034375
transcript.pyannote[69].end 221.93721875
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 222.78096875
transcript.pyannote[70].end 224.48534375
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 224.67096875
transcript.pyannote[71].end 226.40909375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 227.28659375
transcript.pyannote[72].end 230.29034375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 231.23534375
transcript.pyannote[73].end 237.41159375
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 237.91784375
transcript.pyannote[74].end 241.29284375
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 241.76534375
transcript.pyannote[75].end 243.30096875
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 243.63846875
transcript.pyannote[76].end 263.28096875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 263.82096875
transcript.pyannote[77].end 264.42846875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 264.86721875
transcript.pyannote[78].end 265.33971875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 265.55909375
transcript.pyannote[79].end 269.74409375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 271.22909375
transcript.pyannote[80].end 271.26284375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 271.26284375
transcript.pyannote[81].end 271.44846875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 272.27534375
transcript.pyannote[82].end 272.29221875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 272.29221875
transcript.pyannote[83].end 287.56409375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 285.08346875
transcript.pyannote[84].end 285.91034375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 286.29846875
transcript.pyannote[85].end 286.68659375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 287.14221875
transcript.pyannote[86].end 291.47909375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 290.38221875
transcript.pyannote[87].end 291.96846875
transcript.pyannote[88].speaker SPEAKER_03
transcript.pyannote[88].start 291.96846875
transcript.pyannote[88].end 293.25096875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 292.52534375
transcript.pyannote[89].end 300.60846875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 295.37721875
transcript.pyannote[90].end 295.39409375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 295.39409375
transcript.pyannote[91].end 296.32221875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 296.82846875
transcript.pyannote[92].end 298.02659375
transcript.pyannote[93].speaker SPEAKER_03
transcript.pyannote[93].start 298.85346875
transcript.pyannote[93].end 310.34534375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 300.72659375
transcript.pyannote[94].end 304.42221875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 305.14784375
transcript.pyannote[95].end 310.31159375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 310.34534375
transcript.pyannote[96].end 310.63221875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 311.03721875
transcript.pyannote[97].end 312.10034375
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 313.01159375
transcript.pyannote[98].end 314.41221875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 315.42471875
transcript.pyannote[99].end 327.00096875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 321.31409375
transcript.pyannote[100].end 324.36846875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 327.37221875
transcript.pyannote[101].end 327.67596875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 328.09784375
transcript.pyannote[102].end 329.86971875
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 330.37596875
transcript.pyannote[103].end 331.86096875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 332.41784375
transcript.pyannote[104].end 336.18096875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 337.31159375
transcript.pyannote[105].end 338.69534375
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 338.99909375
transcript.pyannote[106].end 340.33221875
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 340.85534375
transcript.pyannote[107].end 342.79596875
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 343.53846875
transcript.pyannote[108].end 345.20909375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 346.15409375
transcript.pyannote[109].end 346.84596875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 347.08221875
transcript.pyannote[110].end 347.30159375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 350.60909375
transcript.pyannote[111].end 351.31784375
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 351.70596875
transcript.pyannote[112].end 352.65096875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 352.93784375
transcript.pyannote[113].end 353.71409375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 354.35534375
transcript.pyannote[114].end 355.95846875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 356.38034375
transcript.pyannote[115].end 357.25784375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 357.61221875
transcript.pyannote[116].end 359.51909375
transcript.pyannote[117].speaker SPEAKER_03
transcript.pyannote[117].start 360.10971875
transcript.pyannote[117].end 361.99971875
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 362.67471875
transcript.pyannote[118].end 368.22659375
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 368.71596875
transcript.pyannote[119].end 369.55971875
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 370.38659375
transcript.pyannote[120].end 371.95596875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 372.36096875
transcript.pyannote[121].end 374.08221875
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 374.89221875
transcript.pyannote[122].end 378.01409375
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 378.36846875
transcript.pyannote[123].end 385.79346875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 386.40096875
transcript.pyannote[124].end 395.10846875
transcript.pyannote[125].speaker SPEAKER_03
transcript.pyannote[125].start 395.73284375
transcript.pyannote[125].end 397.25159375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 397.84221875
transcript.pyannote[126].end 398.63534375
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 399.44534375
transcript.pyannote[127].end 400.40721875
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 401.94284375
transcript.pyannote[128].end 403.15784375
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 403.54596875
transcript.pyannote[129].end 405.45284375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 406.19534375
transcript.pyannote[130].end 410.43096875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 411.62909375
transcript.pyannote[131].end 422.88471875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 423.30659375
transcript.pyannote[132].end 425.97284375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 425.97284375
transcript.pyannote[133].end 426.14159375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 426.36096875
transcript.pyannote[134].end 426.37784375
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 426.37784375
transcript.pyannote[135].end 429.02721875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 426.49596875
transcript.pyannote[136].end 426.95159375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 429.66846875
transcript.pyannote[137].end 430.98471875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 431.74409375
transcript.pyannote[138].end 432.11534375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 432.80721875
transcript.pyannote[139].end 446.54346875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 447.23534375
transcript.pyannote[140].end 448.48409375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 448.63596875
transcript.pyannote[141].end 449.44596875
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 448.80471875
transcript.pyannote[142].end 449.86784375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 450.27284375
transcript.pyannote[143].end 451.33596875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 451.87596875
transcript.pyannote[144].end 452.85471875
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 452.68596875
transcript.pyannote[145].end 454.27221875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 457.57971875
transcript.pyannote[146].end 461.00534375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 461.49471875
transcript.pyannote[147].end 462.55784375
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 463.46909375
transcript.pyannote[148].end 466.05096875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 467.73846875
transcript.pyannote[149].end 468.41346875
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 469.69596875
transcript.pyannote[150].end 471.65346875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 470.03346875
transcript.pyannote[151].end 471.34971875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 472.86846875
transcript.pyannote[152].end 478.43721875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 478.60596875
transcript.pyannote[153].end 479.51721875
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 479.97284375
transcript.pyannote[154].end 481.12034375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 481.76159375
transcript.pyannote[155].end 482.92596875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 483.93846875
transcript.pyannote[156].end 485.35596875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 486.99284375
transcript.pyannote[157].end 488.22471875
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 489.05159375
transcript.pyannote[158].end 490.23284375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 491.14409375
transcript.pyannote[159].end 495.95346875
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 496.24034375
transcript.pyannote[160].end 498.94034375
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 499.76721875
transcript.pyannote[161].end 505.03221875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 505.03221875
transcript.pyannote[162].end 506.02784375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 506.02784375
transcript.pyannote[163].end 508.25534375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 508.71096875
transcript.pyannote[164].end 508.72784375
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 508.72784375
transcript.pyannote[165].end 508.74471875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 508.74471875
transcript.pyannote[166].end 508.76159375
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 508.76159375
transcript.pyannote[167].end 508.81221875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 508.81221875
transcript.pyannote[168].end 509.13284375
transcript.pyannote[169].speaker SPEAKER_03
transcript.pyannote[169].start 509.13284375
transcript.pyannote[169].end 516.08534375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 509.21721875
transcript.pyannote[170].end 510.33096875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 516.33846875
transcript.pyannote[171].end 523.88159375
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 525.07971875
transcript.pyannote[172].end 526.44659375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 527.10471875
transcript.pyannote[173].end 528.57284375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 529.93971875
transcript.pyannote[174].end 532.72409375
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 534.09096875
transcript.pyannote[175].end 537.33096875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 537.80346875
transcript.pyannote[176].end 557.37846875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 539.87909375
transcript.pyannote[177].end 540.08159375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 541.34721875
transcript.pyannote[178].end 542.46096875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 547.20284375
transcript.pyannote[179].end 548.72159375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 553.39596875
transcript.pyannote[180].end 553.48034375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 555.45471875
transcript.pyannote[181].end 556.60221875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 558.17159375
transcript.pyannote[182].end 558.52596875
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 558.79596875
transcript.pyannote[183].end 560.66909375
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 561.00659375
transcript.pyannote[184].end 562.45784375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 563.30159375
transcript.pyannote[185].end 564.78659375
transcript.pyannote[186].speaker SPEAKER_03
transcript.pyannote[186].start 564.90471875
transcript.pyannote[186].end 568.83659375
transcript.pyannote[187].speaker SPEAKER_03
transcript.pyannote[187].start 569.37659375
transcript.pyannote[187].end 577.10534375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 577.10534375
transcript.pyannote[188].end 577.42596875
transcript.pyannote[189].speaker SPEAKER_03
transcript.pyannote[189].start 577.42596875
transcript.pyannote[189].end 579.99096875
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 580.64909375
transcript.pyannote[190].end 583.90596875
transcript.pyannote[191].speaker SPEAKER_03
transcript.pyannote[191].start 584.59784375
transcript.pyannote[191].end 586.33596875
transcript.pyannote[192].speaker SPEAKER_03
transcript.pyannote[192].start 587.88846875
transcript.pyannote[192].end 588.79971875
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 589.12034375
transcript.pyannote[193].end 590.48721875
transcript.pyannote[194].speaker SPEAKER_03
transcript.pyannote[194].start 591.82034375
transcript.pyannote[194].end 592.88346875
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 593.84534375
transcript.pyannote[195].end 595.24596875
transcript.pyannote[196].speaker SPEAKER_03
transcript.pyannote[196].start 596.17409375
transcript.pyannote[196].end 599.29596875
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 599.73471875
transcript.pyannote[197].end 601.23659375
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 601.50659375
transcript.pyannote[198].end 605.70846875
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 606.58596875
transcript.pyannote[199].end 610.51784375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 611.26034375
transcript.pyannote[200].end 614.58471875
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 615.22596875
transcript.pyannote[201].end 615.58034375
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 615.95159375
transcript.pyannote[202].end 618.66846875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 619.24221875
transcript.pyannote[203].end 619.63034375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 619.95096875
transcript.pyannote[204].end 622.46534375
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 623.74784375
transcript.pyannote[205].end 624.67596875
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 624.72659375
transcript.pyannote[206].end 625.36784375
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 625.77284375
transcript.pyannote[207].end 627.93284375
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 628.96221875
transcript.pyannote[208].end 631.47659375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 631.47659375
transcript.pyannote[209].end 631.49346875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 632.38784375
transcript.pyannote[210].end 633.45096875
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 633.94034375
transcript.pyannote[211].end 638.41221875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 638.41221875
transcript.pyannote[212].end 638.47971875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 639.15471875
transcript.pyannote[213].end 649.80284375
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 650.19096875
transcript.pyannote[214].end 650.54534375
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 651.03471875
transcript.pyannote[215].end 653.83596875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 654.22409375
transcript.pyannote[216].end 656.75534375
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 656.92409375
transcript.pyannote[217].end 658.67909375
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 659.16846875
transcript.pyannote[218].end 665.49659375
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 666.08721875
transcript.pyannote[219].end 667.58909375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 667.58909375
transcript.pyannote[220].end 667.65659375
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 667.75784375
transcript.pyannote[221].end 667.96034375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 667.96034375
transcript.pyannote[222].end 668.06159375
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 668.06159375
transcript.pyannote[223].end 668.97284375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 668.97284375
transcript.pyannote[224].end 678.86159375
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 669.54659375
transcript.pyannote[225].end 670.05284375
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 671.82471875
transcript.pyannote[226].end 673.32659375
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 677.32596875
transcript.pyannote[227].end 679.11471875
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 679.60409375
transcript.pyannote[228].end 680.63346875
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 681.56159375
transcript.pyannote[229].end 684.17721875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 684.91971875
transcript.pyannote[230].end 686.38784375
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 686.86034375
transcript.pyannote[231].end 696.17534375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 696.61409375
transcript.pyannote[232].end 698.97659375
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 699.76971875
transcript.pyannote[233].end 704.00534375
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 704.47784375
transcript.pyannote[234].end 705.87846875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 706.26659375
transcript.pyannote[235].end 709.27034375
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 709.42221875
transcript.pyannote[236].end 710.11409375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 710.11409375
transcript.pyannote[237].end 714.07971875
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 714.97409375
transcript.pyannote[238].end 716.00346875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 716.76284375
transcript.pyannote[239].end 718.68659375
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 720.07034375
transcript.pyannote[240].end 720.34034375
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 720.76221875
transcript.pyannote[241].end 723.37784375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 723.79971875
transcript.pyannote[242].end 726.12846875
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 726.65159375
transcript.pyannote[243].end 728.72721875
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 729.41909375
transcript.pyannote[244].end 738.16034375
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 739.00409375
transcript.pyannote[245].end 740.16846875
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 740.89409375
transcript.pyannote[246].end 742.68284375
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 743.02034375
transcript.pyannote[247].end 748.75784375
transcript.pyannote[248].speaker SPEAKER_03
transcript.pyannote[248].start 749.43284375
transcript.pyannote[248].end 752.18346875
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 752.35221875
transcript.pyannote[249].end 753.66846875
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 754.36034375
transcript.pyannote[250].end 755.32221875
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 755.96346875
transcript.pyannote[251].end 758.73096875
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 759.55784375
transcript.pyannote[252].end 761.14409375
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 762.39284375
transcript.pyannote[253].end 766.29096875
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 766.64534375
transcript.pyannote[254].end 767.87721875
transcript.pyannote[255].speaker SPEAKER_03
transcript.pyannote[255].start 768.11346875
transcript.pyannote[255].end 769.31159375
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 769.69971875
transcript.pyannote[256].end 771.03284375
transcript.pyannote[257].speaker SPEAKER_03
transcript.pyannote[257].start 771.25221875
transcript.pyannote[257].end 772.34909375
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 772.58534375
transcript.pyannote[258].end 774.54284375
transcript.pyannote[259].speaker SPEAKER_03
transcript.pyannote[259].start 775.15034375
transcript.pyannote[259].end 776.98971875
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 777.58034375
transcript.pyannote[260].end 782.17034375
transcript.pyannote[261].speaker SPEAKER_03
transcript.pyannote[261].start 782.59221875
transcript.pyannote[261].end 785.79846875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 787.21596875
transcript.pyannote[262].end 789.47721875
transcript.pyannote[263].speaker SPEAKER_03
transcript.pyannote[263].start 790.16909375
transcript.pyannote[263].end 790.67534375
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 791.38409375
transcript.pyannote[264].end 793.81409375
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 793.96596875
transcript.pyannote[265].end 799.99034375
transcript.pyannote[266].speaker SPEAKER_03
transcript.pyannote[266].start 800.41221875
transcript.pyannote[266].end 807.34784375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 807.34784375
transcript.pyannote[267].end 808.93409375
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 807.87096875
transcript.pyannote[268].end 808.91721875
transcript.pyannote[269].speaker SPEAKER_03
transcript.pyannote[269].start 808.93409375
transcript.pyannote[269].end 809.00159375
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 809.00159375
transcript.pyannote[270].end 810.26721875
transcript.pyannote[271].speaker SPEAKER_03
transcript.pyannote[271].start 810.26721875
transcript.pyannote[271].end 812.17409375
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 810.30096875
transcript.pyannote[272].end 810.85784375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 812.00534375
transcript.pyannote[273].end 812.76471875
transcript.pyannote[274].speaker SPEAKER_03
transcript.pyannote[274].start 812.57909375
transcript.pyannote[274].end 816.05534375
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 815.80221875
transcript.pyannote[275].end 818.14784375
transcript.whisperx[0].start 5.657
transcript.whisperx[0].end 32.187
transcript.whisperx[0].text 呃 主席喔首先有請我們行政院經貿談判辦公室我們的習資深代表執行他怎樣我們時間暫停好了 好不好趕快把人叫回來沒有關係 我等他慢慢來
transcript.whisperx[1].start 35.595
transcript.whisperx[1].end 36.095
transcript.whisperx[1].text 慢慢來 慢慢來
transcript.whisperx[2].start 64.38
transcript.whisperx[2].end 93.949
transcript.whisperx[2].text 好有請這一個許代表許主席好剛剛我聽了李毅霖委員執行關於CPTPP後面請保持安靜那我今天這個問題我特別提出來因為我也是深受其愛的一個那那個原副總譚代表的離世裡面他有寫了一篇文章我深有同感
transcript.whisperx[3].start 95.236
transcript.whisperx[3].end 108.744
transcript.whisperx[3].text 因為像這樣的人才想要好好做一件事情受到無情的打壓不要說沒有他是從美國信念回來的人對於彈砲的工作是非常的執著
transcript.whisperx[4].start 110.356
transcript.whisperx[4].end 134.322
transcript.whisperx[4].text 那CPTPP講到現在我只有說我們這次呼嚴了事應付就是你打著這個招牌你不去營業我從108年的時候就開始跟國安會、經濟部所有談判代表我都一直講當初我已經得到了一個消息
transcript.whisperx[5].start 135.442
transcript.whisperx[5].end 144.132
transcript.whisperx[5].text 就是日本當那時候領主國家他們在邀請中國大陸去參加CPTPP
transcript.whisperx[6].start 145.53
transcript.whisperx[6].end 165.757
transcript.whisperx[6].text 沒有邀請台灣我一直把這個消息給大家你們都說不會啦怎麼樣啊那為了CPTPP我們自己台灣把開發中的國家變成已開發過的國家我們幾乎都放開一切為了準備加入CPTPP
transcript.whisperx[7].start 167.194
transcript.whisperx[7].end 190.841
transcript.whisperx[7].text 結果到現在沒有一個任何的成果那我今天為什麼會談到這些CPTPP它的貿易總量佔了整個經濟貿易總量20到34千我現在太久沒有查這個所以CPTPP是當初我們從107點就開始一直談這個問題但到現在都沒有反應
transcript.whisperx[8].start 197.056
transcript.whisperx[8].end 225.846
transcript.whisperx[8].text 他寫出的那一句很無奈正如師父演的一個態度所以你們現在講的話我都不信那我講什麼我受害者我是搜刮案被判刑的人我當時就是因為那個人新加坡的一個談判代表跟我講他是新加坡國際貿易談判跟我講當時的情形是這樣我為了感謝他這一句話我打了一通電話
transcript.whisperx[9].start 227.315
transcript.whisperx[9].end 229.947
transcript.whisperx[9].text 所以我感觸很深
transcript.whisperx[10].start 231.494
transcript.whisperx[10].end 259.623
transcript.whisperx[10].text 別再說結尾了我相信我們鞏部長在當國發會的時期也都很清楚這一段歷史所以你們現在騙會的CPTPP你們以ART台美關稅協定單位指定全部EO風的就過去你簡單的回答一下老實的回答一下這些委員裡面大概當初我們都有參與CPTPP是我們最重要要突破的
transcript.whisperx[11].start 260.163
transcript.whisperx[11].end 267.594
transcript.whisperx[11].text 多角貿易關邊協定最主要的一個台灣把自己是開發中的國家調升為已開發國家
transcript.whisperx[12].start 272.913
transcript.whisperx[12].end 292.991
transcript.whisperx[12].text 像委員報告齁首先那個委員剛剛催詢有關於那個顏副總他在辭職信裡面所說的事情那行政院這邊已經有外聘委員在組成調查小組在調查上說那個調查小組我不管啦那是你呢我說你們的態度專業我們現在是中心決定不要把它偏離主題好不好
transcript.whisperx[13].start 293.311
transcript.whisperx[13].end 305.815
transcript.whisperx[13].text 有關於CPTPP的相關單位一直都是權力的在催促你們都忘了川普一上來官報協定你們把他忘了我們針對一個我們要去突破一個嘛我們這樣才安全嘛才是多邊的好不好那個牆壁真的是你們的錯誤
transcript.whisperx[14].start 315.695
transcript.whisperx[14].end 335.798
transcript.whisperx[14].text 從美國關稅以來CPT幾乎被你們忘記掉了好不好請那個我們沒有忘記請回答你們忘記啦不要講沒有忘記關話我們聽多了啦請回答好不好我不聽這種話因為從一個資深的總談判代表寫出來代表他心中的無奈跟憤怒
transcript.whisperx[15].start 337.349
transcript.whisperx[15].end 346.628
transcript.whisperx[15].text 更對政府的不滿記住這句話就好然後我請我們港部長還有中油的黃董事長
transcript.whisperx[16].start 351.115
transcript.whisperx[16].end 373.842
transcript.whisperx[16].text 陳偉豪部長好黃董事長好今天你有沒有笑容沒有笑容你要增資要成功啦要增資三千五百億啊我每次每一個部長講我說這些部長只疼台電不疼中油你一個人不被重視的一個孩子
transcript.whisperx[17].start 375.306
transcript.whisperx[17].end 385.259
transcript.whisperx[17].text 現在政府終於提出了3500億那時管部長你記得我一直說終於一定要增資了你要穩定文維生的物價
transcript.whisperx[18].start 386.502
transcript.whisperx[18].end 400.369
transcript.whisperx[18].text 你曉得嗎?是賠中油的錢來支持台電,台電有深知了,中油一直虧下來,我說負擔不了當然世界都變化,COVID-19,烏魚的戰爭,還有現在中共的戰爭,你看起來怎麼樣?這個油價還會不會繼續的上漲?
transcript.whisperx[19].start 411.95
transcript.whisperx[19].end 428.247
transcript.whisperx[19].text 巴委員今天就是因為美伊雙方有一個暫時性的這個停火嘛兩個禮拜那個油價馬上從一百多塊跌到了九十幾塊那所以還是要看他那個戰事的變化我現在是要跟你請教一個問題如果依照
transcript.whisperx[20].start 432.867
transcript.whisperx[20].end 453.678
transcript.whisperx[20].text 免疫的戰爭他把周邊的石油的提煉設備你油氣的什麼設備都打垮掉了你要再重整的話大概你要抓了多少時間那時的功用量就減少了要威與仇妙還有台電的董事長在哪裡董事長好久不見了
transcript.whisperx[21].start 457.645
transcript.whisperx[21].end 475.97
transcript.whisperx[21].text 你現在講你們我記得你們要買美國的那個244億對不對採購嘛採購美國的發電設備嘛252億我看到只有又增加了啦你們隨時都在不是只有台電我告訴你一個事情你要特別注意你們現在就要動了
transcript.whisperx[22].start 487.082
transcript.whisperx[22].end 498.58
transcript.whisperx[22].text 要買要趕快買不然你買不到因為這幾個油廠這幾個發電廠都全部被打掉了你到時候要買不到機器喔我先跟你講
transcript.whisperx[23].start 499.967
transcript.whisperx[23].end 528.225
transcript.whisperx[23].text 報告委員謝謝你提醒我們其實台電很積極在爭取這一些天氣機組沒有啦 你就要先去走啦我現在跟你講不然你到時候我跟你確定戰事一停止你那些設備一定買不到啦不用說我多好聽不然你又高價啦給美國人賺你被人家賺得很爽啊我是被美國賺得很不爽啊我是很確實跟你講美國再貴你們都買
transcript.whisperx[24].start 530.014
transcript.whisperx[24].end 556.762
transcript.whisperx[24].text 但是我們就要算經濟成本啊我跟妳說妳要省費喔 沒到時候買不起來喔真的賺不到貨 先跟妳講 準備一下 準備一下除了妳高價買 人家買100億 台灣就變成買200億啊我們錢多啦 不怕啦這個 不會是這個樣子啦 教委員報告這你敢不敢好 再來我看你們的報告我會很奇怪我們也不會這樣做
transcript.whisperx[25].start 559.143
transcript.whisperx[25].end 585.25
transcript.whisperx[25].text 你當然講不會這麼做啊行事比人強啊乖乖你就要自己賣啦你也沒有什麼辦法啦不用說多厲害啦我是提醒你提早動作提早準備那幾個被炸爛的地區發電廠什麼都沒有了大家都在搶這個生意好不好注意一下我先提醒啊如果發生的時候我到時候會好好的指責你你應該要想準備啦
transcript.whisperx[26].start 587.93
transcript.whisperx[26].end 590.332
transcript.whisperx[26].text 我再來,黃董事長、部長,你講LNG的時候,跟美國講,美國購買,你們這邊大概444億,原油跟天然氣,
transcript.whisperx[27].start 606.636
transcript.whisperx[27].end 631.124
transcript.whisperx[27].text 你說講美國供應比較穩定相對的跟中東澳洲的價格供應穩定價格也比較穩定這樣我很老實你也老實來回答我美國的LNG的話真的會比中東還便宜比美國還便宜嗎
transcript.whisperx[28].start 634.484
transcript.whisperx[28].end 637.95
transcript.whisperx[28].text 美国的天然气它是属于那个页岩气
transcript.whisperx[29].start 639.178
transcript.whisperx[29].end 665.347
transcript.whisperx[29].text 不是啦 你講他的品質 我現在問你價格穩定是怎樣叫做價格穩定過了20%跟人家買 我當然是價格 叫穩定嘛你價格高跟人家買 他有錢賺 他就以你第一優先嘛我現在是問你 你要跟美國買的LNG跟中東買跟澳洲買 那個價格有沒有差別啦
transcript.whisperx[30].start 666.207
transcript.whisperx[30].end 683.995
transcript.whisperx[30].text 差別有多大啦這個價格都是市場競爭性的價格美國人要送到亞洲來的話也要跟其他的來源去做競爭嘛所以他價格應該是有競爭性我真的講啊我相信他不會比中東便宜
transcript.whisperx[31].start 684.943
transcript.whisperx[31].end 713.399
transcript.whisperx[31].text 它一定貴了很多因為拆開的成本也比較高你都這樣給我貨了就貴了我替你爭執好幾次你最好不要騙我啦價格高啦你沒搞啦現在政府是價格高我賣掉了這樣就好了供應無缺如果長期供應要好好的打算一下好 謝謝還有持有競爭的價格你又講到具有競爭性
transcript.whisperx[32].start 715.031
transcript.whisperx[32].end 739.384
transcript.whisperx[32].text 品質穩定,我感覺美國來的酒油,我不知道它的競爭性到哪裡,品質穩定我不敢講,但是以價格的話,美國所有東西不貴你二三十倍,人工成本貴,通貨膨脹什麼都貴,它哪裡會賣你便宜,我們是賠錢,
transcript.whisperx[33].start 740.956
transcript.whisperx[33].end 760.539
transcript.whisperx[33].text 我們可以買一把比較便宜的,但是我們M大頭當了太多太久了,習以為常,好啦,給你美國賣啦,是讓我們自己的國家財力比較污劣,好好考慮,部長,我跟你講的,這不是做生意,這就是你們的政策,什麼都跟美國買都好。
transcript.whisperx[34].start 762.435
transcript.whisperx[34].end 781.009
transcript.whisperx[34].text 但是我們還是想到台灣自己未來的競爭力我們什麼都要搶我只講了一點你不要看電子業看這種傳統因為是QQ鉗鉗的啊你是大手筆的花錢因為產品現在是賺得很難看除了AI這方面剛好起來不然傳統產業電子業都賺錢賺得很累啊我希望你們要能體諒這個啊
transcript.whisperx[35].start 790.219
transcript.whisperx[35].end 815.377
transcript.whisperx[35].text 好不好守著臺灣的財庫讓臺灣的財務耕農後不然你盡量要把中小企業產種產業啊去把他照顧完那個是根根本的沒有那些我們的產業會空中化我講了很久謝謝是中小企業是我們最關心的好不好至於這幾個問題啊世界經濟的變化現在很快啦謝謝好謝謝蔡總理委員謝謝