iVOD / 167480

Field Value
IVOD_ID 167480
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167480
日期 2026-03-16
會議資料.會議代碼 委員會-11-5-19-2
會議資料.會議代碼:str 第11屆第5會期經濟委員會第2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 2
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2次全體委員會議
影片種類 Clip
開始時間 2026-03-16T09:48:57+08:00
結束時間 2026-03-16T09:58:49+08:00
影片長度 00:09:52
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e545302d1642c5f6a5eac211067c25f60bc6757ec415edbe52953553f5c94752dae08b56ec4be6015ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 09:48:57 - 09:58:49
會議時間 2026-03-16T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第2次全體委員會議(事由:邀請國家發展委員會主任委員列席報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.45284375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 0.73971875
transcript.pyannote[1].end 1.98846875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 6.62909375
transcript.pyannote[2].end 7.38846875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 7.77659375
transcript.pyannote[3].end 9.58221875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 10.03784375
transcript.pyannote[4].end 11.18534375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 11.57346875
transcript.pyannote[5].end 12.33284375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 13.51409375
transcript.pyannote[6].end 13.95284375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 26.82846875
transcript.pyannote[7].end 27.18284375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 27.73971875
transcript.pyannote[8].end 28.41471875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 28.44846875
transcript.pyannote[9].end 30.60846875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 30.89534375
transcript.pyannote[10].end 31.13159375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 54.95909375
transcript.pyannote[11].end 60.08909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 55.87034375
transcript.pyannote[12].end 56.17409375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 60.35909375
transcript.pyannote[13].end 62.90721875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 61.89471875
transcript.pyannote[14].end 62.04659375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 67.98659375
transcript.pyannote[15].end 76.81221875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 77.50409375
transcript.pyannote[16].end 78.73596875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 78.97221875
transcript.pyannote[17].end 91.49346875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 91.74659375
transcript.pyannote[18].end 92.26971875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 92.62409375
transcript.pyannote[19].end 95.29034375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 95.32409375
transcript.pyannote[20].end 96.18471875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 96.85971875
transcript.pyannote[21].end 103.47471875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 102.49596875
transcript.pyannote[22].end 120.04596875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 106.00596875
transcript.pyannote[23].end 107.15346875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 119.05034375
transcript.pyannote[24].end 126.84659375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 121.48034375
transcript.pyannote[25].end 122.22284375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 126.86346875
transcript.pyannote[26].end 127.26846875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 127.26846875
transcript.pyannote[27].end 127.28534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 127.30221875
transcript.pyannote[28].end 130.59284375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 130.64346875
transcript.pyannote[29].end 132.76971875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 133.00596875
transcript.pyannote[30].end 135.60471875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 135.63846875
transcript.pyannote[31].end 143.75534375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 144.53159375
transcript.pyannote[32].end 146.28659375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 147.07971875
transcript.pyannote[33].end 148.07534375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 148.07534375
transcript.pyannote[34].end 154.63971875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 155.09534375
transcript.pyannote[35].end 161.47409375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 160.41096875
transcript.pyannote[36].end 175.34534375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 175.71659375
transcript.pyannote[37].end 176.47596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 176.67846875
transcript.pyannote[38].end 180.30659375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 180.49221875
transcript.pyannote[39].end 183.93471875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 184.39034375
transcript.pyannote[40].end 187.02284375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 187.05659375
transcript.pyannote[41].end 189.52034375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 189.89159375
transcript.pyannote[42].end 191.05596875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 191.54534375
transcript.pyannote[43].end 193.18221875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 193.36784375
transcript.pyannote[44].end 202.69971875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 202.69971875
transcript.pyannote[45].end 211.54221875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 212.45346875
transcript.pyannote[46].end 217.88721875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 218.25846875
transcript.pyannote[47].end 225.07596875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 225.49784375
transcript.pyannote[48].end 230.81346875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 231.99471875
transcript.pyannote[49].end 232.39971875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 232.97346875
transcript.pyannote[50].end 235.89284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 235.97721875
transcript.pyannote[51].end 238.35659375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 238.35659375
transcript.pyannote[52].end 238.42409375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 238.87971875
transcript.pyannote[53].end 238.96409375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 238.96409375
transcript.pyannote[54].end 246.52409375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 246.69284375
transcript.pyannote[55].end 251.65409375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 251.99159375
transcript.pyannote[56].end 256.71659375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 257.08784375
transcript.pyannote[57].end 261.54284375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 262.13346875
transcript.pyannote[58].end 268.68096875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 264.79971875
transcript.pyannote[59].end 265.55909375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 269.76096875
transcript.pyannote[60].end 281.57346875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 281.57346875
transcript.pyannote[61].end 281.74221875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 281.74221875
transcript.pyannote[62].end 285.55596875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 285.60659375
transcript.pyannote[63].end 286.02846875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 286.02846875
transcript.pyannote[64].end 286.07909375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 286.07909375
transcript.pyannote[65].end 289.40346875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 289.40346875
transcript.pyannote[66].end 289.42034375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 289.42034375
transcript.pyannote[67].end 289.57221875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 289.57221875
transcript.pyannote[68].end 295.73159375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 289.63971875
transcript.pyannote[69].end 289.97721875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 296.72721875
transcript.pyannote[70].end 301.55346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 302.04284375
transcript.pyannote[71].end 303.57846875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 304.03409375
transcript.pyannote[72].end 305.26596875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 305.56971875
transcript.pyannote[73].end 310.09221875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 310.59846875
transcript.pyannote[74].end 312.91034375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 313.11284375
transcript.pyannote[75].end 318.52971875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 319.12034375
transcript.pyannote[76].end 326.83221875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 327.30471875
transcript.pyannote[77].end 345.54659375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 345.54659375
transcript.pyannote[78].end 345.81659375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 345.86721875
transcript.pyannote[79].end 352.24596875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 352.24596875
transcript.pyannote[80].end 352.27971875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 352.27971875
transcript.pyannote[81].end 352.29659375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 352.29659375
transcript.pyannote[82].end 352.36409375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 352.36409375
transcript.pyannote[83].end 352.97159375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 352.97159375
transcript.pyannote[84].end 359.41784375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 359.41784375
transcript.pyannote[85].end 360.70034375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 360.07596875
transcript.pyannote[86].end 360.16034375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 360.80159375
transcript.pyannote[87].end 361.56096875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 361.56096875
transcript.pyannote[88].end 363.16409375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 363.16409375
transcript.pyannote[89].end 363.41721875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 363.40034375
transcript.pyannote[90].end 367.95659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 368.26034375
transcript.pyannote[91].end 369.77909375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 369.99846875
transcript.pyannote[92].end 371.53409375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 372.25971875
transcript.pyannote[93].end 373.17096875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 373.57596875
transcript.pyannote[94].end 375.98909375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 376.15784375
transcript.pyannote[95].end 378.13221875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 378.48659375
transcript.pyannote[96].end 379.07721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 379.38096875
transcript.pyannote[97].end 380.71409375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 381.13596875
transcript.pyannote[98].end 398.01096875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 381.84471875
transcript.pyannote[99].end 382.89096875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 384.05534375
transcript.pyannote[100].end 384.08909375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 398.21346875
transcript.pyannote[101].end 404.86221875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 406.63409375
transcript.pyannote[102].end 411.00471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 407.08971875
transcript.pyannote[103].end 407.27534375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 407.29221875
transcript.pyannote[104].end 407.59596875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 408.30471875
transcript.pyannote[105].end 408.62534375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 408.97971875
transcript.pyannote[106].end 409.08096875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 409.84034375
transcript.pyannote[107].end 410.29596875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 411.24096875
transcript.pyannote[108].end 418.31159375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 411.64596875
transcript.pyannote[109].end 412.38846875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 418.54784375
transcript.pyannote[110].end 421.31534375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 421.36596875
transcript.pyannote[111].end 426.39471875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 426.46221875
transcript.pyannote[112].end 433.14471875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 434.52846875
transcript.pyannote[113].end 434.61284375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 434.61284375
transcript.pyannote[114].end 438.20721875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 434.62971875
transcript.pyannote[115].end 434.71409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 438.61221875
transcript.pyannote[116].end 443.06721875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 440.58659375
transcript.pyannote[117].end 440.95784375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 444.06284375
transcript.pyannote[118].end 444.28221875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 445.75034375
transcript.pyannote[119].end 446.29034375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 446.29034375
transcript.pyannote[120].end 446.30721875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 446.44221875
transcript.pyannote[121].end 462.60846875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 463.23284375
transcript.pyannote[122].end 464.24534375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 464.51534375
transcript.pyannote[123].end 473.57721875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 473.69534375
transcript.pyannote[124].end 474.06659375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 474.04971875
transcript.pyannote[125].end 475.28159375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 475.45034375
transcript.pyannote[126].end 476.66534375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 477.12096875
transcript.pyannote[127].end 479.06159375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 479.95596875
transcript.pyannote[128].end 481.47471875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 481.47471875
transcript.pyannote[129].end 481.50846875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 482.31846875
transcript.pyannote[130].end 482.35221875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 482.35221875
transcript.pyannote[131].end 486.87471875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 486.26721875
transcript.pyannote[132].end 489.23721875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 489.84471875
transcript.pyannote[133].end 491.05971875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 491.05971875
transcript.pyannote[134].end 491.46471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 491.46471875
transcript.pyannote[135].end 492.76409375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 493.03409375
transcript.pyannote[136].end 495.24471875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 496.44284375
transcript.pyannote[137].end 496.93221875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 497.06721875
transcript.pyannote[138].end 498.18096875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 498.38346875
transcript.pyannote[139].end 500.37471875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 500.77971875
transcript.pyannote[140].end 503.68221875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 504.45846875
transcript.pyannote[141].end 505.15034375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 506.02784375
transcript.pyannote[142].end 506.11221875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 506.11221875
transcript.pyannote[143].end 513.21659375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 513.36846875
transcript.pyannote[144].end 514.95471875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 515.34284375
transcript.pyannote[145].end 517.73909375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 518.02596875
transcript.pyannote[146].end 522.34596875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 522.66659375
transcript.pyannote[147].end 524.35409375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 524.82659375
transcript.pyannote[148].end 528.06659375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 528.31971875
transcript.pyannote[149].end 528.69096875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 528.91034375
transcript.pyannote[150].end 533.46659375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 533.85471875
transcript.pyannote[151].end 538.24221875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 538.29284375
transcript.pyannote[152].end 538.57971875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 538.57971875
transcript.pyannote[153].end 538.59659375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 538.63034375
transcript.pyannote[154].end 541.02659375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 541.31346875
transcript.pyannote[155].end 543.22034375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 543.42284375
transcript.pyannote[156].end 549.29534375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 549.39659375
transcript.pyannote[157].end 550.45971875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 550.72971875
transcript.pyannote[158].end 559.94346875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 560.26409375
transcript.pyannote[159].end 564.49971875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 564.83721875
transcript.pyannote[160].end 572.11034375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 572.24534375
transcript.pyannote[161].end 573.89909375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 574.55721875
transcript.pyannote[162].end 576.14346875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 576.37971875
transcript.pyannote[163].end 578.62409375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 578.67471875
transcript.pyannote[164].end 584.00721875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 584.00721875
transcript.pyannote[165].end 584.22659375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 584.22659375
transcript.pyannote[166].end 585.47534375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 585.71159375
transcript.pyannote[167].end 592.27596875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 586.21784375
transcript.pyannote[168].end 586.87596875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 592.90034375
transcript.pyannote[169].end 593.38971875
transcript.whisperx[0].start 1.329
transcript.whisperx[0].end 9.311
transcript.whisperx[0].text 請鍾嘉斌委員鍾嘉斌委員也是本委會初登場時間6加2謝謝
transcript.whisperx[1].start 28.637
transcript.whisperx[1].end 30.043
transcript.whisperx[1].text 沒關係 你要準備一下
transcript.whisperx[2].start 54.994
transcript.whisperx[2].end 76.594
transcript.whisperx[2].text 好 首席 在場的委員先進 列協政局教授 官員會長 公眾夥伴 媒體記者女士先生有請葉主任委員 國會葉主委委員長葉主委我好像是第一次在這個經濟委員會跟你請教我最近有觀察到國會因為你來好像變得更活潑來我們看一下
transcript.whisperx[3].start 77.54
transcript.whisperx[3].end 100.868
transcript.whisperx[3].text WBC你看了沒?看了你們國發會大家看到廢宅擠出紅布朗開不開心?開心所以你們馬上說趕快聯繫廢宅的經紀人我要給他就業金卡是這樣嗎?是是喔?結果呢廢宅有沒有給你回應呢?還是運動部棒協經紀人回應怎麼樣?廢宅要不要帶他的新婚太太一起來台灣用就業金卡?
transcript.whisperx[4].start 101.488
transcript.whisperx[4].end 125.871
transcript.whisperx[4].text 還在聯繫當中 但我們那個就業金卡提供他非常多的一個哪些好處 哪些就業金卡有什麼好處第一個就是說他可以沒有次數的可以進出台灣然後放寬 這是放寬公眾房 就好像委員的那一個簡報上面重點是大家看到眷屬可以依親居留我想台灣的球迷都希望看到他們兩夫婦一個在啦啦隊 一個在球場上拚搏 對不對
transcript.whisperx[5].start 127.852
transcript.whisperx[5].end 154.426
transcript.whisperx[5].text 但是我覺得除了肯定之外呢我們來看一下就業金卡應該不是這麼第一次嘛有沒有過去哪些就業金卡的方向潛力譬如說YouTube的陳世俊還有經濟領域台積電的人資處處長吳思廷經濟領域還有MBA的霍華德運動領域對不對我們國外就業金卡有哪些領域總共有12個領域有12個領域好那你的目的是什麼目的是找這些人來做你的招牌嗎你背後的政策目標是什麼
transcript.whisperx[6].start 155.08
transcript.whisperx[6].end 175.88
transcript.whisperx[6].text 我背後的政策目標就是促進台灣的企業產業的轉型我想也是因為他們做了航棒之後能夠吸引更多不亞於他們或者說他們雖然是亮眼的但是有其他能夠大量的來投入為我們台灣所用對不對對好我們看一下但是我們看一下你目前就業經考的申請比例有點怪怪的
transcript.whisperx[7].start 176.761
transcript.whisperx[7].end 201.567
transcript.whisperx[7].text 你看經濟科技教育呢加起來就超過了四分之三其他的法律建築國防運動才有一趴而已12個領域當中我們為什麼會有出現這樣的一個分布的極端分配呢主委你的看法是怎樣因為我們國內相對的就是說最近這幾年半導體相對的比較蓬勃發展所以對於這部分的需求相對比較多好 但我們會滾動式檢討我的意思是說
transcript.whisperx[8].start 204.328
transcript.whisperx[8].end 229.566
transcript.whisperx[8].text 這些就業金卡是不是冰山一角反映出底下台灣在這12個領域的人才需求的不同數量好那很好那請問你告訴我台灣在這12個領域的人才需求你們有統計有預估嗎你們什麼機制來判斷台灣在科技領域需要多少人幾萬人台灣在運動領域需要多少人所以我們就從這些領域當中透過就業金卡吸引這些人來有沒有一個這樣的一個規劃目標
transcript.whisperx[9].start 232.045
transcript.whisperx[9].end 259.885
transcript.whisperx[9].text 有沒有你們吸引人才有沒有分12個領域希望有個目標數我今年這個領域要吸引一萬五千個人有沒有我們有依照那個對於每一個領域他未來的那個人才需求我們有做一些推估啦推估好那這個推估怎麼推估出來的你攬財的目標如何設定是反映出產業的需求還是反映出目前我們國內人才培養不足的缺口到底你是問了哪些部門問了教育部問了經濟部還是問了勞動部
transcript.whisperx[10].start 262.586
transcript.whisperx[10].end 268.575
transcript.whisperx[10].text 產業的需求也有以及國家政策的有沒有一個明確的一個評估方法一個機制有沒有
transcript.whisperx[11].start 269.81
transcript.whisperx[11].end 295.561
transcript.whisperx[11].text 你這個提供給本席 我很好奇因為國發會很重要 很樞紐你必須了解勞動部那邊現場的情況怎麼樣產業面未來的需求怎麼樣教育部人才的培育的未來供給量怎麼樣所以你對於這個國際人才的膽才你才會設定目標 是不是這樣對 我們會後會同書面資料來現在台灣的人才缺口擴大中現在全世界少子化第一名是哪一個國家 生育率
transcript.whisperx[12].start 296.772
transcript.whisperx[12].end 318.129
transcript.whisperx[12].text 可能不是我們就是韓國沒有啦 韓國已經被我們超越了我們現在是最後一名啦新加坡也很嚴重啊我們才看到二月份的新生兒跌破7000現在才6000多 這個大家都新聞啊所以呢 魏哲家說台灣人才不夠那怎麼辦 人才缺口 少子化不足用什麼方式 其他國家怎麼做 往下看
transcript.whisperx[13].start 319.21
transcript.whisperx[13].end 343.784
transcript.whisperx[13].text 新加坡跟日本都跟台灣一樣面臨少子化的新加坡啊他沒有到什麼就業金卡人家功成名就的才邀請他他從大學端就出手啊我常去新加坡啊他們的新加坡從馬來西亞鎖定那些優秀的高中生招引來新加坡大學過了三年兩年他們就評估四年就業要畢業的時候他就請新加坡的公司延攬他還給他一個PR你知道這樣做嗎
transcript.whisperx[14].start 346.025
transcript.whisperx[14].end 371.402
transcript.whisperx[14].text 你們有跟教育部這樣構想嗎?台灣每年收那麼多的境外生,這些有沒有我們未來需要的產業人才?有,我們對於那一個僑外生來我們台灣,念完書之後留在台灣的那一個...你們跟教育部有合作嗎?有有有合作計畫給我了解一下好,日本不一樣,日本的他不從大學上多少?他嘛,重金懸賞啊!他出來條件比台灣好啊!你知道日本的條件有沒有比台灣好?
transcript.whisperx[15].start 372.301
transcript.whisperx[15].end 397.851
transcript.whisperx[15].text 你有沒有比較過?人家開的薪資水準比台灣高,同樣是國際人才,他跑到日本,他跑到台灣來幹嘛?你了解嗎?有沒有做過比較?這個比較結果也給本席看一下,我要了解喔,來往下看喔修法後,我們去年才修法,修法後台灣的纜財稍微有一點點提升但是從舊保來講,舊的保險來講,台灣的限制是要永久居留權才可以日本不限定用居留權就可以用啊
transcript.whisperx[16].start 398.492
transcript.whisperx[16].end 404.525
transcript.whisperx[16].text 適用勞退制度 台灣是排除中階技術人員日本是不限工作身份都有用 主委你知道嗎
transcript.whisperx[17].start 406.867
transcript.whisperx[17].end 432.556
transcript.whisperx[17].text 這個不了解對不對你們的同仁要趕快幫你做跨國比較搶人才不是台灣自己內部的產業在競爭我們要跟其他國家競爭好嗎好那這個部分要做好那往下看那纜財我們還有哪些條件可以放我們看一下我們的權益保障依照身份我們有分級影響他的就業保險勞退跟補助目前最嚴重的就是中階技術人才他沒有辦法自由轉換雇主工作彈性低對不對這個部分要不要檢討
transcript.whisperx[18].start 435.386
transcript.whisperx[18].end 462.443
transcript.whisperx[18].text 好那什麼時候可以給本席一個檢討後你們的評估報告我們會後會後會後是什麼時候待會就可以跟你拿嗎一個月嗎一個月可以好那一個具體的我們目前雖然上會席修改了兩台專法但相較於其他鄰近的國家我們是不是有需要強化的地方我也希望這個國發會要好好的去做一個思考好最後我們來看一下
transcript.whisperx[19].start 464.024
transcript.whisperx[19].end 488.698
transcript.whisperx[19].text 攬財專法,我們因為人生的少,人才不夠所以去外國求便宜,開條件去吸引人家這不是台語說的不是套路啦最後還是要怎樣?生育率要提高嘛生育率提高是國發會的責任嗎?請問郭文工,權責是誰?老跟少是那個陳時中政委在督導老跟少是他督導,那衛福部要去對不對?
transcript.whisperx[20].start 489.892
transcript.whisperx[20].end 504.754
transcript.whisperx[20].text 但是你們也可以貢獻是是是懶拿的人才廢仔跟他老婆會不會在想台灣生小孩會不會會我覺得不會最近D卡一個什麼台灣的職場怎麼對待孕婦的有沒有看到這篇文章有沒有看過
transcript.whisperx[21].start 506.198
transcript.whisperx[21].end 527.905
transcript.whisperx[21].text 有沒有人知道我們的職場的不友善對家庭的生育不友善不只是政府的制度沒有誘因而已我們的職場文化對於懷孕這件事情是不友善的這當然不是國發會的權責但是國發會你要去統合其他部會如果說這些懶男的財願意在台灣長留久用是我們的希望
transcript.whisperx[22].start 528.965
transcript.whisperx[22].end 549.118
transcript.whisperx[22].text 他如果決定在台灣定居 移民 也是我們內政部要去爭取他如果在這邊生小孩 更好小孩生了他就在這裡穩定了 是不是這樣子所以你的攬財專法只是中間這一段但是往前往後延伸勞動部的職場條件 經濟部的企業文化我們教育部的對境外生的招生
transcript.whisperx[23].start 550.979
transcript.whisperx[23].end 573.721
transcript.whisperx[23].text 還有到我們的衛福部對生育的補助 這個都是需要的來 請告訴我在這一塊懶財專法 你後續有沒有可以幫忙第一 定期的評估機制 就是人才的需求缺口這個你答應要給我一個月後另外 人才長留久安的配套措施有沒有包括友善職場 讓這些懶來的財在職場的時候對他們的生育有友善
transcript.whisperx[24].start 574.582
transcript.whisperx[24].end 590.866
transcript.whisperx[24].text 可不可以是你一個方法可以可以好謝謝我們希望看到呢廢宅帶他的新婚老婆在台灣不只辦了就業金卡還在台灣生小孩好不好好你答應了嗎沒有啦我會努力讓這樣的事情發生是會發生好謝謝