iVOD / 160687

Field Value
IVOD_ID 160687
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160687
日期 2025-04-25
會議資料.會議代碼 院會-11-3-9
會議資料.會議代碼:str 第11屆第3會期第9次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 9
會議資料.種類 院會
會議資料.標題 第11屆第3會期第9次會議
影片種類 Clip
開始時間 2025-04-25T11:06:14+08:00
結束時間 2025-04-25T11:22:06+08:00
影片長度 00:15:52
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/b161887eae65c3928dae13ec4b92dad7fbec180d4fb51a06734e47bd71ec006302cda474afd28a485ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王定宇
委員發言時間 11:06:14 - 11:22:06
會議時間 2025-04-25T09:00:00+08:00
會議名稱 第11屆第3會期第9次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、4月25日上午9時至10時為國是論壇時間。三、4月29日下午2時15分至2時30分為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 10.76346875
transcript.pyannote[0].end 12.82221875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 13.24409375
transcript.pyannote[1].end 14.91471875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 23.31846875
transcript.pyannote[2].end 24.46596875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 23.53784375
transcript.pyannote[3].end 24.22971875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 24.70221875
transcript.pyannote[4].end 28.81971875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 29.25846875
transcript.pyannote[5].end 33.19034375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 33.51096875
transcript.pyannote[6].end 36.04221875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 36.21096875
transcript.pyannote[7].end 37.20659375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 37.57784375
transcript.pyannote[8].end 43.34909375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 43.43346875
transcript.pyannote[9].end 52.15784375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 52.30971875
transcript.pyannote[10].end 53.18721875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 54.16596875
transcript.pyannote[11].end 57.11909375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 58.14846875
transcript.pyannote[12].end 59.54909375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 60.64596875
transcript.pyannote[13].end 62.72159375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 63.31221875
transcript.pyannote[14].end 64.34159375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 65.11784375
transcript.pyannote[15].end 66.67034375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 67.51409375
transcript.pyannote[16].end 79.02284375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 79.51221875
transcript.pyannote[17].end 80.77784375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 81.31784375
transcript.pyannote[18].end 82.92096875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 83.52846875
transcript.pyannote[19].end 83.79846875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 84.30471875
transcript.pyannote[20].end 85.33409375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 85.35096875
transcript.pyannote[21].end 92.67471875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 92.92784375
transcript.pyannote[22].end 93.80534375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 94.04159375
transcript.pyannote[23].end 94.73346875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 96.20159375
transcript.pyannote[24].end 98.39534375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 98.93534375
transcript.pyannote[25].end 103.98096875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 105.82034375
transcript.pyannote[26].end 107.37284375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 107.40659375
transcript.pyannote[27].end 113.46471875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 113.80221875
transcript.pyannote[28].end 115.40534375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 116.33346875
transcript.pyannote[29].end 116.85659375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 117.24471875
transcript.pyannote[30].end 119.57346875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 119.79284375
transcript.pyannote[31].end 122.50971875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 123.69096875
transcript.pyannote[32].end 128.48346875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 129.00659375
transcript.pyannote[33].end 133.86659375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 134.01846875
transcript.pyannote[34].end 135.89159375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 136.87034375
transcript.pyannote[35].end 141.64596875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 142.15221875
transcript.pyannote[36].end 146.70846875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 147.28221875
transcript.pyannote[37].end 149.29034375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 149.37471875
transcript.pyannote[38].end 150.75846875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 151.18034375
transcript.pyannote[39].end 152.73284375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 153.17159375
transcript.pyannote[40].end 155.31471875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 157.01909375
transcript.pyannote[41].end 158.21721875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 159.28034375
transcript.pyannote[42].end 160.36034375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 160.57971875
transcript.pyannote[43].end 161.42346875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 161.55846875
transcript.pyannote[44].end 163.43159375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 163.65096875
transcript.pyannote[45].end 165.43971875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 166.08096875
transcript.pyannote[46].end 176.42534375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 176.67846875
transcript.pyannote[47].end 182.44971875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 183.05721875
transcript.pyannote[48].end 188.15346875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 188.40659375
transcript.pyannote[49].end 203.81346875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 204.23534375
transcript.pyannote[50].end 205.24784375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 205.93971875
transcript.pyannote[51].end 206.68221875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 207.59346875
transcript.pyannote[52].end 214.71471875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 215.57534375
transcript.pyannote[53].end 219.35534375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 219.82784375
transcript.pyannote[54].end 221.46471875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 222.30846875
transcript.pyannote[55].end 243.01409375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 243.35159375
transcript.pyannote[56].end 249.00471875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 250.10159375
transcript.pyannote[57].end 250.82721875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 251.21534375
transcript.pyannote[58].end 252.19409375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 252.86909375
transcript.pyannote[59].end 254.01659375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 254.64096875
transcript.pyannote[60].end 256.36221875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 256.56471875
transcript.pyannote[61].end 257.79659375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 258.52221875
transcript.pyannote[62].end 258.65721875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 258.65721875
transcript.pyannote[63].end 259.68659375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 258.69096875
transcript.pyannote[64].end 258.75846875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 259.60221875
transcript.pyannote[65].end 263.93909375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 264.19221875
transcript.pyannote[66].end 266.82471875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 267.38159375
transcript.pyannote[67].end 270.80721875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 271.22909375
transcript.pyannote[68].end 273.52409375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 273.82784375
transcript.pyannote[69].end 274.68846875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 275.12721875
transcript.pyannote[70].end 281.53971875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 280.00409375
transcript.pyannote[71].end 282.53534375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 282.01221875
transcript.pyannote[72].end 288.86346875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 286.21409375
transcript.pyannote[73].end 287.09159375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 288.00284375
transcript.pyannote[74].end 291.31034375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 291.58034375
transcript.pyannote[75].end 295.09034375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 295.44471875
transcript.pyannote[76].end 300.64221875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 301.78971875
transcript.pyannote[77].end 302.70096875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 303.86534375
transcript.pyannote[78].end 320.23409375
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 320.97659375
transcript.pyannote[79].end 324.31784375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 325.16159375
transcript.pyannote[80].end 326.39346875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 327.54096875
transcript.pyannote[81].end 330.00471875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 330.54471875
transcript.pyannote[82].end 332.14784375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 332.77221875
transcript.pyannote[83].end 346.67721875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 344.65221875
transcript.pyannote[84].end 344.88846875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 347.23409375
transcript.pyannote[85].end 350.49096875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 350.72721875
transcript.pyannote[86].end 352.02659375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 353.05596875
transcript.pyannote[87].end 356.61659375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 356.86971875
transcript.pyannote[88].end 360.10971875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 360.31221875
transcript.pyannote[89].end 361.83096875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 362.32034375
transcript.pyannote[90].end 362.37096875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 362.48909375
transcript.pyannote[91].end 364.73346875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 364.96971875
transcript.pyannote[92].end 370.75784375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 369.64409375
transcript.pyannote[93].end 372.58034375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 371.11221875
transcript.pyannote[94].end 375.83721875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 375.85409375
transcript.pyannote[95].end 380.29221875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 378.70596875
transcript.pyannote[96].end 379.78596875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 380.37659375
transcript.pyannote[97].end 380.41034375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 380.41034375
transcript.pyannote[98].end 383.86971875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 384.19034375
transcript.pyannote[99].end 387.71721875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 388.59471875
transcript.pyannote[100].end 389.25284375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 389.52284375
transcript.pyannote[101].end 390.85596875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 391.83471875
transcript.pyannote[102].end 393.52221875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 393.77534375
transcript.pyannote[103].end 402.01034375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 403.02284375
transcript.pyannote[104].end 403.57971875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 404.10284375
transcript.pyannote[105].end 423.17159375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 423.57659375
transcript.pyannote[106].end 426.86721875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 427.37346875
transcript.pyannote[107].end 429.75284375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 430.73159375
transcript.pyannote[108].end 432.60471875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 433.76909375
transcript.pyannote[109].end 435.87846875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 436.35096875
transcript.pyannote[110].end 437.21159375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 437.76846875
transcript.pyannote[111].end 442.93221875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 443.20221875
transcript.pyannote[112].end 447.28596875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 448.85534375
transcript.pyannote[113].end 451.13346875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 451.47096875
transcript.pyannote[114].end 454.66034375
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 455.26784375
transcript.pyannote[115].end 474.97784375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 475.51784375
transcript.pyannote[116].end 477.20534375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 477.62721875
transcript.pyannote[117].end 493.55721875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 493.72596875
transcript.pyannote[118].end 501.08346875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 501.67409375
transcript.pyannote[119].end 502.90596875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 503.68221875
transcript.pyannote[120].end 504.66096875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 505.48784375
transcript.pyannote[121].end 506.31471875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 506.82096875
transcript.pyannote[122].end 508.62659375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 508.98096875
transcript.pyannote[123].end 510.98909375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 511.29284375
transcript.pyannote[124].end 512.89596875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 513.38534375
transcript.pyannote[125].end 515.69721875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 515.20784375
transcript.pyannote[126].end 517.41846875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 518.07659375
transcript.pyannote[127].end 519.10596875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 521.08034375
transcript.pyannote[128].end 522.61596875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 523.24034375
transcript.pyannote[129].end 524.84346875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 527.10471875
transcript.pyannote[130].end 529.73721875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 527.56034375
transcript.pyannote[131].end 528.26909375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 528.43784375
transcript.pyannote[132].end 531.30659375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 530.81721875
transcript.pyannote[133].end 532.96034375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 533.07846875
transcript.pyannote[134].end 536.25096875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 535.82909375
transcript.pyannote[135].end 539.03534375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 539.42346875
transcript.pyannote[136].end 543.03471875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 543.99659375
transcript.pyannote[137].end 549.39659375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 549.63284375
transcript.pyannote[138].end 550.20659375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 551.28659375
transcript.pyannote[139].end 552.21471875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 552.43409375
transcript.pyannote[140].end 555.23534375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 555.57284375
transcript.pyannote[141].end 556.60221875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 556.97346875
transcript.pyannote[142].end 557.88471875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 558.67784375
transcript.pyannote[143].end 562.54221875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 563.80784375
transcript.pyannote[144].end 566.50784375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 566.81159375
transcript.pyannote[145].end 573.74721875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 574.50659375
transcript.pyannote[146].end 575.77221875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 576.19409375
transcript.pyannote[147].end 577.57784375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 578.43846875
transcript.pyannote[148].end 580.85159375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 581.29034375
transcript.pyannote[149].end 583.04534375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 583.65284375
transcript.pyannote[150].end 592.27596875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 593.11971875
transcript.pyannote[151].end 595.48221875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 595.68471875
transcript.pyannote[152].end 596.93346875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 597.62534375
transcript.pyannote[153].end 602.14784375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 602.35034375
transcript.pyannote[154].end 611.39534375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 612.12096875
transcript.pyannote[155].end 613.03221875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 613.31909375
transcript.pyannote[156].end 615.31034375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 615.54659375
transcript.pyannote[157].end 661.32846875
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 662.39159375
transcript.pyannote[158].end 664.82159375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 665.12534375
transcript.pyannote[159].end 668.06159375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 668.68596875
transcript.pyannote[160].end 669.81659375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 670.42409375
transcript.pyannote[161].end 671.62221875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 671.75721875
transcript.pyannote[162].end 681.42659375
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 681.81471875
transcript.pyannote[163].end 682.37159375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 683.04659375
transcript.pyannote[164].end 686.45534375
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 687.55221875
transcript.pyannote[165].end 688.76721875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 689.56034375
transcript.pyannote[166].end 692.74971875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 692.91846875
transcript.pyannote[167].end 703.81971875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 704.29221875
transcript.pyannote[168].end 706.87409375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 707.29596875
transcript.pyannote[169].end 725.33534375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 726.14534375
transcript.pyannote[170].end 726.85409375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 727.46159375
transcript.pyannote[171].end 727.88346875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 728.15346875
transcript.pyannote[172].end 730.95471875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 731.00534375
transcript.pyannote[173].end 738.19409375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 738.75096875
transcript.pyannote[174].end 744.94409375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 745.48409375
transcript.pyannote[175].end 749.68596875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 750.10784375
transcript.pyannote[176].end 753.82034375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 753.97221875
transcript.pyannote[177].end 758.10659375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 758.54534375
transcript.pyannote[178].end 769.19346875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 762.00471875
transcript.pyannote[179].end 762.37596875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 769.81784375
transcript.pyannote[180].end 799.26471875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 800.17596875
transcript.pyannote[181].end 812.61284375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 812.81534375
transcript.pyannote[182].end 820.10534375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 820.35846875
transcript.pyannote[183].end 825.10034375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 824.98221875
transcript.pyannote[184].end 847.08846875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 847.27409375
transcript.pyannote[185].end 851.57721875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 850.73346875
transcript.pyannote[186].end 856.87596875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 857.12909375
transcript.pyannote[187].end 864.13221875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 862.69784375
transcript.pyannote[188].end 868.08096875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 867.11909375
transcript.pyannote[189].end 867.94596875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 868.33409375
transcript.pyannote[190].end 869.22846875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 869.66721875
transcript.pyannote[191].end 873.21096875
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 873.70034375
transcript.pyannote[192].end 880.68659375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 881.26034375
transcript.pyannote[193].end 883.16721875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 883.52159375
transcript.pyannote[194].end 887.90909375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 888.24659375
transcript.pyannote[195].end 901.49346875
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 901.98284375
transcript.pyannote[196].end 906.85971875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 907.12971875
transcript.pyannote[197].end 913.27221875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 913.59284375
transcript.pyannote[198].end 921.57471875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 922.33409375
transcript.pyannote[199].end 925.99596875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 926.13096875
transcript.pyannote[200].end 926.43471875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 926.31659375
transcript.pyannote[201].end 927.66659375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 944.33909375
transcript.pyannote[202].end 948.27096875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 948.86159375
transcript.pyannote[203].end 949.40159375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 950.41409375
transcript.pyannote[204].end 953.43471875
transcript.whisperx[0].start 10.776
transcript.whisperx[0].end 12.459
transcript.whisperx[0].text 謝院長麻煩卓院長麻煩再請卓院長備選
transcript.whisperx[1].start 24.777
transcript.whisperx[1].end 52.478
transcript.whisperx[1].text 那一開始我先我剛才聽到一個蠻有意思的題目我們剛才聽到我們的委員同事黃國昌委員提到國發基金經濟部好多個個案不能包庇要把它查清楚本席是贊成我相信行政院的態度經濟部的態度應該都一樣任何個案有疑慮我們都應該查清楚讓國人安心那在查清楚之前勿枉勿縱我覺得這是一個對的態度
transcript.whisperx[2].start 54.209
transcript.whisperx[2].end 82.53
transcript.whisperx[2].text 但是同一個人同一群人卻無視國民黨跨縣市黨部的基層黨工過世很多年過世很多年將近兩千個人還能親自簽名偽造文書罷免連署那個違法事證這麼清楚檢調司法我不曉得該不該辦然後同樣這一群人
transcript.whisperx[3].start 84.403
transcript.whisperx[3].end 103.721
transcript.whisperx[3].text 能夠看到這些參與偽造的國民黨的基層黨工就我知道至少有兩個公開都已經坦承代簽偽造所以這樣的正義好像會轉彎這樣子的包庇有兩套有兩種我不知道院長剛才聽到有什麼感受
transcript.whisperx[4].start 105.968
transcript.whisperx[4].end 119.916
transcript.whisperx[4].text 委員學問到個案坦白說每個個案不是那麼了解尤其他已經在訴訟的細數當中我們當然尊重司法但是我日前說過國人依照憲法行使參政權選舉罷免創制復決必須合法
transcript.whisperx[5].start 123.715
transcript.whisperx[5].end 134.959
transcript.whisperx[5].text 司法機關做各種形式的調查必須守法必須依法行政人民參與陳情抗議集會遊行必須守法這是基本的條件我覺得不只是創制復決
transcript.whisperx[6].start 136.929
transcript.whisperx[6].end 165.284
transcript.whisperx[6].text 所有的事情都該守法就是一個法律的規範所以我蠻有意思的我剛才看到我不曉得我們國發基金這些個案因為我們在立法院其實有些偵辦中的個案我過去認識的資深委員都告訴我們有一些正在偵辦中的個案有一些所謂的涉及事務國會議員是不應該去問這些東西的但對某些案子的監督我覺得贊成不能包庇都要查清楚
transcript.whisperx[7].start 166.141
transcript.whisperx[7].end 175.639
transcript.whisperx[7].text 可是卻能夠包庇死亡連署卻能夠包庇偽造文書我只能說正義會轉彎然後包庇有兩種我還是回到我們的正題
transcript.whisperx[8].start 177.169
transcript.whisperx[8].end 206.267
transcript.whisperx[8].text 我請教院長跟我們的經濟部長有一個跟我們地方相關的重要的個案沙崙有一個健康園區佔地84.25公頃從王美花擔任經濟部長由台南市政府大家一起來推動都已經把台塘的土地當地歸人私人地主的土地該架構的架構該參與這個計畫都談完了就等最後了結果在
transcript.whisperx[9].start 207.639
transcript.whisperx[9].end 218.724
transcript.whisperx[9].text 今年3月28號國科會召開一個南科院南科第四期要放在我們沙崙那裡那是南邊在交大南邊那邊500公頃突然間就把這一個
transcript.whisperx[10].start 222.415
transcript.whisperx[10].end 248.758
transcript.whisperx[10].text 沙崙健康園區它連動著我們現在另外一個大的案子也就是成大醫院沙崙院區那個大案子因為那邊是負責醫療這個健康園區是負責醫療的不管是它的產業啦生物科技等等你們突然間把它停止抱邊地方人心惶惶因為這對地方的發展已經籌備那麼久了我很擔心政府一停
transcript.whisperx[11].start 250.148
transcript.whisperx[11].end 257.603
transcript.whisperx[11].text 不知道要等到幾年幾月所以是不是請教院長這個停下來的原因是什麼下一步該怎麼走
transcript.whisperx[12].start 259.095
transcript.whisperx[12].end 285.054
transcript.whisperx[12].text 來經濟部請說明跟我們報告那確實在3月28號國科會開的那個會議上面那台南市政府的代表他有表示說他是目前是全力來配合整個國科會在推動這個沙崙生態科學園區所以他們打算停止抱邊這個理由是什麼那個動作我知道理由是什麼那我猜想他可能就是說因為整個科學園區的
transcript.whisperx[13].start 286.535
transcript.whisperx[13].end 300.655
transcript.whisperx[13].text 這兩個不相干啊南科的第四期 南科的那個生態園區是在陽明交大那個歸雲十三路的南邊500公頃啊這個是北側在86號東西快速道路都已經走到最後一步了快五年了耶
transcript.whisperx[14].start 303.922
transcript.whisperx[14].end 326.195
transcript.whisperx[14].text 走到最後一步快要開花結果等待進來的醫療生物科技的業者以及成大醫院現在已經在今年會取得建造開始要興建一個是醫療一個是產業搭配AI原來設計是這樣子那我的意思是說這個園區現在停沒有人知道下一步要幹嘛
transcript.whisperx[15].start 327.891
transcript.whisperx[15].end 350.966
transcript.whisperx[15].text 環坪都已經走到環坪現在把那個程序也停下來這不能這樣做我現在不太理解這一塊必須要讓地方知道說好我要納入南科的在這邊的生態園區的開發那什麼時候土地可以運用什麼時候 否則這個土地呢管制在那裡配合大健康園區這要五天的時間啊
transcript.whisperx[16].start 353.063
transcript.whisperx[16].end 360.419
transcript.whisperx[16].text 你現在一句話就停下來 沒有交代 沒有未來 也不知道時程好 院長 這個事情其實地方議論紛紛我們必須在這邊問個清楚喔
transcript.whisperx[17].start 362.894
transcript.whisperx[17].end 390.548
transcript.whisperx[17].text 我們是不是一同來了解一下國科會是不是考慮到它有一些環保的問題或草銷的生息地等等那個是國科會自己要去負責我是認為說應該把我們可用的土地再做比較精細的一個盤點說的是可以把它擴大到什麼範圍大健康園區是從蔡英文總統第一任砂輪綠能科學籌備處開始然後呢走了這麼多年
transcript.whisperx[18].start 391.892
transcript.whisperx[18].end 401.386
transcript.whisperx[18].text 所有的程序也都走完了已經在最後環評接下來就是準備基礎建設然後廠商進駐好不容易走到這裡面積也不大不到90公頃
transcript.whisperx[19].start 403.083
transcript.whisperx[19].end 432.13
transcript.whisperx[19].text 然後呢它裡面的不管是樹植栽的維持跟相關的團體生態保護團體的溝通都在進行當中那一塊不管要做南科的生態園區或者要做大健康園區這兩個位置不一樣我覺得對生態的尊重都要一樣那是都要做的事情可是這個事情已經進行了這麼長的時間私地主該被徵收也徵收了你現在突然間停下來
transcript.whisperx[20].start 433.817
transcript.whisperx[20].end 446.87
transcript.whisperx[20].text 第一個對已經徵收土地的人情何以堪對於有些私地主面積比較大的參與這個計畫的人他不知道下一步該怎麼辦他這個現況已經被框在那裡那麼久也就是說完全沒膏帶
transcript.whisperx[21].start 448.922
transcript.whisperx[21].end 474.455
transcript.whisperx[21].text 完全沒有交代 完全沒有透明度的東西就把一個計劃走在那邊停下來然後成大醫院沒有停欸佔地15公頃的成大醫院沙崙園區繼續要蓋而當時這個醫院是跟這個大江岸園區本來要蓋在一起後來我們經過討論認為他擔心有新的疫情啊將來萬一醫院有疫情整個園區就不能上班所以把它拆在這一個我們高鐵後站的南側跟北側
transcript.whisperx[22].start 475.598
transcript.whisperx[22].end 504.387
transcript.whisperx[22].text 所以這兩個計畫是一起走的那成大醫院沙崙園區我們努力那麼多年占它的坪數三萬八千坪建造也要拿到開始要動工了現在跟它附屬的產業那邊有成大醫學院那邊有陽明交大也有醫學院也有光電是這個園區規劃其實已經將近十年密集的處理從王美花部長到現在已經是四年最後了這要有經濟啊你用來停下來
transcript.whisperx[23].start 505.489
transcript.whisperx[23].end 519.039
transcript.whisperx[23].text 那接下來該怎麼辦?好,報告委員我們是請經濟部向國科會跟台南市政府了解原因是何在,然後我們再來想出解決的方法怎麼樣?我們在當地跟當地的居民努力那麼久,來大家做個泡麵,你要停,一句話都不說。
transcript.whisperx[24].start 527.148
transcript.whisperx[24].end 549.82
transcript.whisperx[24].text 本席的選區台南市政府預計要提出這樣的方式他已經暴停了還沒有到最後我們請經濟部來 角色不能這樣做你這樣做啟人一逗以外真的對居民的期待我可以等十年等一條捷運要凍土前你把這條捷運路線停下來說另有更好規劃你覺得居民會怎麼樣類似的情形所以這個
transcript.whisperx[25].start 551.368
transcript.whisperx[25].end 576.68
transcript.whisperx[25].text 治國或者是一個城市不能這樣處理事情所以這一點我希望經濟部或者國科會要完整因為國科會我問過了國科會計畫沒有這一塊啊你沒有這一塊你把這一塊停下來是要做什麼就是現在我下一個要請教也請院長注意就是說一個地方的產業發展要共榮科學園區很好創造就業機會不錯
transcript.whisperx[26].start 578.476
transcript.whisperx[26].end 591.656
transcript.whisperx[26].text 但是周邊的舊部落原來有人的地方有居民的地方應該跟著發展可是我們常常產業園區、工業園區發展是比方說台湯的土地我們如果在種柑子沒人的地方來發展
transcript.whisperx[27].start 593.171
transcript.whisperx[27].end 611.18
transcript.whisperx[27].text 沒有思考到發展帶動起來它周邊的舊部落的生活區域怎麼跟著發展所以變成自然溢出如果沒有在規劃新市鎮的範圍內那都死掉了那對國家也不好你沒有規劃嘛所以像這個沙崙的生態科學園區呢
transcript.whisperx[28].start 612.465
transcript.whisperx[28].end 631.851
transcript.whisperx[28].text 這個在今年其實已經有公告那接下來大家進行環評當地確實有一些生態我們必須concern的但我也提醒裡面的樹齁很多樹木都是當年台塘的契約林不是天然的東西進去的期望簽約好像就十年二十年就是要把它轉成轉成經濟使用
transcript.whisperx[29].start 634.372
transcript.whisperx[29].end 661.096
transcript.whisperx[29].text 那現在因為種了相當時日大家認為說這個樹要留在那裡我們也尊重有一個更好共存共榮的方式那我現在講的是這個生態園區呢看起來速度要走得蠻快的500公頃你不管AMD不管台積電或者相關的重要業者要進駐這個區域然後草蕭呢在二人溪沿岸的蜜食我的夢想是有一天園區的工程師可以帶著妻子孩子在那邊欣賞草蕭的飛翔蜜食
transcript.whisperx[30].start 662.415
transcript.whisperx[30].end 688.572
transcript.whisperx[30].text 他不是互相矛盾的是可以溝通的但我現在要提醒行政院經濟部跟國科會這個園區放在那裡那事實上呢我已經開過三次的會議我希望地方成為中央施政的助手大家都期待更好而不是互相在那邊漢格在我們召開相關的會議的時候呢有提出一個概念有一個做法叫做
transcript.whisperx[31].start 689.608
transcript.whisperx[31].end 706.602
transcript.whisperx[31].text 周邊的聚落可以以生活支援型的都市計畫的概念也就是我們國科會我們行政院這邊放了500公頃的一個科學園區他不管要做AI做半導體都很好
transcript.whisperx[32].start 707.369
transcript.whisperx[32].end 726.681
transcript.whisperx[32].text 那周邊的舊部落應該成為他的生活資源的區域,或者小型的產業鏈的小型的工業區,而不是都去開發新的地方,然後古柏龍一牆之隔,人家一直在發電,我這裡遊玩是三合院,這樣子不好。
transcript.whisperx[33].start 727.546
transcript.whisperx[33].end 744.417
transcript.whisperx[33].text 所以我們在沙崙智慧綠營科學城在蔡英文政府第一任的時候因為還沒有整個起來所以周邊不管是武東 大唐 沙崙 中州或者是觀廟的吳甲 或者是歸仁的辣嘎歸南
transcript.whisperx[34].start 746.398
transcript.whisperx[34].end 768.987
transcript.whisperx[34].text 這個擴棟塞周邊這些聚落都還可以忍受我這邊還沒有跟上來現在越來越蓬勃發展大樓一間一間在起的時候請行政院跟我們內政部我們國土管理署還有我們相關的部會它周邊資源型的生活機能資源型的產業鏈應該把這個都市計畫納入這個區域一併考量讓在地的居民
transcript.whisperx[35].start 769.887
transcript.whisperx[35].end 798.327
transcript.whisperx[35].text 在那邊住了13代到17代的傳統的居民他可以跟著這個產業園區跟著這個科學園區一起往前發展這時候行政院在地方的執政施政會得到地方民眾期待你比較快的我來幫你忙而不是你做你的我貴我的我們之前的國土計畫法把那邊都還劃在農業區喔就在這個所謂的生態科學園區啦智慧綠能科學城周邊通通劃成農業區
transcript.whisperx[36].start 800.637
transcript.whisperx[36].end 811.053
transcript.whisperx[36].text 所以這個是不對的我這邊一定要提醒院長這個事情是不是可以請這個院長允諾因為這跨部會是不是這個事情可以納入重點來考量那個是一個非常重要的產業園區發展的一個核心區域
transcript.whisperx[37].start 813.141
transcript.whisperx[37].end 829.823
transcript.whisperx[37].text 謝謝委員這樣的建議那未來經濟部在產業園區或是國科會的科學園區我們都應該把周遭的環境盡量融合在一起讓它成為一個生活機能區的共同生活圈那我可以要求這樣子相關的進度要update給我們就我們要知道
transcript.whisperx[38].start 830.544
transcript.whisperx[38].end 845.383
transcript.whisperx[38].text 地方要透明 讓大家知道說 喔 教學很苦要來啊像剛才講的 大健康園區另有重用 重用是什麼 什麼時候就會是就你清楚 大家了解 就會跟著走不清楚 就會亂猜疑所以這些資訊 能不能請相關部會
transcript.whisperx[39].start 847.426
transcript.whisperx[39].end 868.833
transcript.whisperx[39].text 至少有新的進度讓我們知道讓地方知道一下這裡應該做得到我們現在推出的六大產業生活區也是往這個方向在講他不只是一個產業而已他把文化生活整個都納進來原來的原來的有的地方特色再加上我是很感謝卓院長你就認不到一個月26天你第一個
transcript.whisperx[40].start 869.773
transcript.whisperx[40].end 887.064
transcript.whisperx[40].text 去看的地點就是我剛才講的大健康園區旁邊這裡當時的簡報還有大健康園區你就知道地方對你的來臨對你就任之後的期待所以這個變化沒有透明的資訊這個真的不好那我最後請教院長
transcript.whisperx[41].start 888.365
transcript.whisperx[41].end 911.163
transcript.whisperx[41].text 你提出說跟美國的談判是以BTA的精神事實上在2023年我們的鄧振中我們其實台美21世紀貿易倡議就是一個簡化版的BTA當時2023年1月18號就已經提到拼年底簽台美BTA後來年底簽了叫做第一階段
transcript.whisperx[42].start 912.043
transcript.whisperx[42].end 925.679
transcript.whisperx[42].text 貿易倡議的協議也被視為某一種的BTA後來2024年要進行所謂相關第二階段的服務啦勞務啦等等所以你提出以BTA精神來進行這是一個基礎因為時間關係
transcript.whisperx[43].start 944.621
transcript.whisperx[43].end 945.361
transcript.whisperx[43].text 現在在議場二樓旁邊來自台中