iVOD / 162674

Field Value
IVOD_ID 162674
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162674
日期 2025-06-18
會議資料.會議代碼 聯席會議-11-3-19,26,22-1
會議資料.會議代碼:str 第11屆第3會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 19
會議資料.委員會代碼[1] 26
會議資料.委員會代碼[2] 22
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.委員會代碼:str[1] 社會福利及衛生環境委員會
會議資料.委員會代碼:str[2] 教育及文化委員會
會議資料.標題 第11屆第3會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議
影片種類 Clip
開始時間 2025-06-18T12:25:34+08:00
結束時間 2025-06-18T12:34:34+08:00
影片長度 00:09:00
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5617cf280bc2552acd0b8dd2289fef1b5c8a36db9e18c27b944e3ca7709b1a2f277aaf2a4e3413f65ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳超明
委員發言時間 12:25:34 - 12:34:34
會議時間 2025-06-18T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟、社會福利及衛生環境、教育及文化三委員會第1次聯席會議(事由:審查: 一、行政院函請審議「外國專業人才延攬及僱用法修正草案」案。 二、本院委員何欣純等19人擬具「外國專業人才延攬及僱用法第十二條及第十四條條文修正草案」案。 三、本院委員陳亭妃等16人擬具「外國專業人才延攬及僱用法第四條、第六條及第十四條條文修正草案」案。 四、本院委員蔡易餘等17人擬具「外國專業人才延攬及僱用法修正草案」案。 五、本院委員羅美玲等16人擬具「外國專業人才延攬及僱用法修正草案」案。(詢答) (第一案如未接獲議事處來函則不予審查。))
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 4.97534375
transcript.pyannote[0].end 6.07221875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 10.29096875
transcript.pyannote[1].end 11.42159375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 18.40784375
transcript.pyannote[2].end 19.11659375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 21.22596875
transcript.pyannote[3].end 21.78284375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 21.78284375
transcript.pyannote[4].end 21.79971875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 22.54221875
transcript.pyannote[5].end 23.11596875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 23.52096875
transcript.pyannote[6].end 26.18721875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 26.50784375
transcript.pyannote[7].end 27.16596875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 27.16596875
transcript.pyannote[8].end 27.19971875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 27.58784375
transcript.pyannote[9].end 27.60471875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 27.60471875
transcript.pyannote[10].end 30.01784375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 27.62159375
transcript.pyannote[11].end 29.73096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 30.49034375
transcript.pyannote[12].end 34.25346875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 35.01284375
transcript.pyannote[13].end 36.29534375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 36.98721875
transcript.pyannote[14].end 39.99096875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 41.00346875
transcript.pyannote[15].end 46.09971875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 46.26846875
transcript.pyannote[16].end 52.95096875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 53.38971875
transcript.pyannote[17].end 55.71846875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 57.05159375
transcript.pyannote[18].end 59.56596875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 60.02159375
transcript.pyannote[19].end 63.17721875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 63.90284375
transcript.pyannote[20].end 65.53971875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 65.82659375
transcript.pyannote[21].end 74.02784375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 74.90534375
transcript.pyannote[22].end 77.23409375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 77.55471875
transcript.pyannote[23].end 78.61784375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 79.68096875
transcript.pyannote[24].end 81.84096875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 81.97596875
transcript.pyannote[25].end 91.71284375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 92.18534375
transcript.pyannote[26].end 94.19346875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 95.03721875
transcript.pyannote[27].end 97.41659375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 97.88909375
transcript.pyannote[28].end 99.08721875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 99.52596875
transcript.pyannote[29].end 106.14096875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 106.27596875
transcript.pyannote[30].end 108.79034375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 109.17846875
transcript.pyannote[31].end 115.86096875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 116.51909375
transcript.pyannote[32].end 119.86034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 120.48471875
transcript.pyannote[33].end 122.02034375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 122.25659375
transcript.pyannote[34].end 123.20159375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 124.04534375
transcript.pyannote[35].end 124.68659375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 124.99034375
transcript.pyannote[36].end 128.26409375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 129.14159375
transcript.pyannote[37].end 134.38971875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 135.04784375
transcript.pyannote[38].end 137.34284375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 137.91659375
transcript.pyannote[39].end 142.25346875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 142.79346875
transcript.pyannote[40].end 146.37096875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 147.21471875
transcript.pyannote[41].end 148.19346875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 148.21034375
transcript.pyannote[42].end 151.31534375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 151.75409375
transcript.pyannote[43].end 155.01096875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 155.50034375
transcript.pyannote[44].end 156.58034375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 156.88409375
transcript.pyannote[45].end 159.71909375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 160.12409375
transcript.pyannote[46].end 164.10659375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 164.46096875
transcript.pyannote[47].end 166.21596875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 166.82346875
transcript.pyannote[48].end 168.61221875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 169.21971875
transcript.pyannote[49].end 171.10971875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 171.63284375
transcript.pyannote[50].end 176.56034375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 176.84721875
transcript.pyannote[51].end 180.55971875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 180.69471875
transcript.pyannote[52].end 190.36409375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 190.36409375
transcript.pyannote[53].end 191.07284375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 190.61721875
transcript.pyannote[54].end 193.16534375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 193.35096875
transcript.pyannote[55].end 195.03846875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 195.25784375
transcript.pyannote[56].end 197.82284375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 198.12659375
transcript.pyannote[57].end 199.13909375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 199.29096875
transcript.pyannote[58].end 199.96596875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 199.96596875
transcript.pyannote[59].end 203.62784375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 204.01596875
transcript.pyannote[60].end 206.22659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 206.66534375
transcript.pyannote[61].end 208.97721875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 207.12096875
transcript.pyannote[62].end 207.22221875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 208.97721875
transcript.pyannote[63].end 211.99784375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 209.09534375
transcript.pyannote[64].end 210.93471875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 212.40284375
transcript.pyannote[65].end 215.55846875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 215.55846875
transcript.pyannote[66].end 215.87909375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 215.87909375
transcript.pyannote[67].end 221.31284375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 222.51096875
transcript.pyannote[68].end 226.49346875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 226.94909375
transcript.pyannote[69].end 228.56909375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 229.21034375
transcript.pyannote[70].end 231.01596875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 231.69096875
transcript.pyannote[71].end 233.61471875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 234.13784375
transcript.pyannote[72].end 235.62284375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 235.80846875
transcript.pyannote[73].end 236.92221875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 237.54659375
transcript.pyannote[74].end 238.96409375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 239.35221875
transcript.pyannote[75].end 244.58346875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 242.18721875
transcript.pyannote[76].end 246.32159375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 246.67596875
transcript.pyannote[77].end 249.49409375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 249.74721875
transcript.pyannote[78].end 257.13846875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 253.25721875
transcript.pyannote[79].end 254.70846875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 257.57721875
transcript.pyannote[80].end 258.45471875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 259.33221875
transcript.pyannote[81].end 262.03221875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 262.55534375
transcript.pyannote[82].end 264.17534375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 264.44534375
transcript.pyannote[83].end 264.76596875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 264.71534375
transcript.pyannote[84].end 268.15784375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 268.76534375
transcript.pyannote[85].end 273.91221875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 274.19909375
transcript.pyannote[86].end 274.46909375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 275.61659375
transcript.pyannote[87].end 275.97096875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 275.97096875
transcript.pyannote[88].end 276.03846875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 276.03846875
transcript.pyannote[89].end 276.20721875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 276.20721875
transcript.pyannote[90].end 276.22409375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 276.22409375
transcript.pyannote[91].end 276.24096875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 276.47721875
transcript.pyannote[92].end 276.49409375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 276.49409375
transcript.pyannote[93].end 276.52784375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 276.52784375
transcript.pyannote[94].end 276.96659375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 276.96659375
transcript.pyannote[95].end 277.03409375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 277.03409375
transcript.pyannote[96].end 277.96221875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 277.96221875
transcript.pyannote[97].end 278.02971875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 278.02971875
transcript.pyannote[98].end 278.04659375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 278.16471875
transcript.pyannote[99].end 278.19846875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 278.19846875
transcript.pyannote[100].end 278.97471875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 278.97471875
transcript.pyannote[101].end 279.02534375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 279.02534375
transcript.pyannote[102].end 279.76784375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 280.74659375
transcript.pyannote[103].end 280.76346875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 280.76346875
transcript.pyannote[104].end 282.36659375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 282.99096875
transcript.pyannote[105].end 285.35346875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 285.77534375
transcript.pyannote[106].end 290.77034375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 290.77034375
transcript.pyannote[107].end 290.85471875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 290.85471875
transcript.pyannote[108].end 295.69784375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 294.31409375
transcript.pyannote[109].end 295.81596875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 296.40659375
transcript.pyannote[110].end 296.54159375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 296.54159375
transcript.pyannote[111].end 296.57534375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 297.23346875
transcript.pyannote[112].end 299.15721875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 299.46096875
transcript.pyannote[113].end 299.59596875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 299.59596875
transcript.pyannote[114].end 300.49034375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 301.45221875
transcript.pyannote[115].end 302.63346875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 302.83596875
transcript.pyannote[116].end 303.22409375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 303.29159375
transcript.pyannote[117].end 304.27034375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 304.82721875
transcript.pyannote[118].end 306.16034375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 306.61596875
transcript.pyannote[119].end 307.64534375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 308.89409375
transcript.pyannote[120].end 310.49721875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 310.93596875
transcript.pyannote[121].end 313.60221875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 314.24346875
transcript.pyannote[122].end 316.18409375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 316.48784375
transcript.pyannote[123].end 327.38909375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 327.55784375
transcript.pyannote[124].end 335.05034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 335.43846875
transcript.pyannote[125].end 338.42534375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 339.82596875
transcript.pyannote[126].end 339.97784375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 339.97784375
transcript.pyannote[127].end 340.61909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 341.19284375
transcript.pyannote[128].end 341.20971875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 341.20971875
transcript.pyannote[129].end 341.71596875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 342.05346875
transcript.pyannote[130].end 346.66034375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 346.66034375
transcript.pyannote[131].end 348.02721875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 346.98096875
transcript.pyannote[132].end 347.01471875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 347.03159375
transcript.pyannote[133].end 348.28034375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 348.28034375
transcript.pyannote[134].end 354.82784375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 355.19909375
transcript.pyannote[135].end 362.52284375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 362.64096875
transcript.pyannote[136].end 363.31596875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 363.97409375
transcript.pyannote[137].end 366.85971875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 367.60221875
transcript.pyannote[138].end 369.15471875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 369.82971875
transcript.pyannote[139].end 372.47909375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 373.22159375
transcript.pyannote[140].end 377.10284375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 377.62596875
transcript.pyannote[141].end 378.79034375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 379.27971875
transcript.pyannote[142].end 381.79409375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 382.38471875
transcript.pyannote[143].end 384.27471875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 384.83159375
transcript.pyannote[144].end 387.24471875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 387.97034375
transcript.pyannote[145].end 404.03534375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 405.03096875
transcript.pyannote[146].end 406.00971875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 406.38096875
transcript.pyannote[147].end 409.99221875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 410.22846875
transcript.pyannote[148].end 412.06784375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 412.47284375
transcript.pyannote[149].end 413.23221875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 414.10971875
transcript.pyannote[150].end 416.03346875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 416.16846875
transcript.pyannote[151].end 449.15909375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 449.95221875
transcript.pyannote[152].end 460.58346875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 461.41034375
transcript.pyannote[153].end 473.02034375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 473.18909375
transcript.pyannote[154].end 477.47534375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 478.06596875
transcript.pyannote[155].end 480.90096875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 480.96846875
transcript.pyannote[156].end 481.01909375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 481.30596875
transcript.pyannote[157].end 484.29284375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 483.80346875
transcript.pyannote[158].end 485.87909375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 484.49534375
transcript.pyannote[159].end 488.59596875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 489.33846875
transcript.pyannote[160].end 493.70909375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 494.29971875
transcript.pyannote[161].end 495.09284375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 495.58221875
transcript.pyannote[162].end 496.96596875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 497.57346875
transcript.pyannote[163].end 500.03721875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 500.29034375
transcript.pyannote[164].end 504.77909375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 505.25159375
transcript.pyannote[165].end 506.87159375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 507.22596875
transcript.pyannote[166].end 508.18784375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 508.87971875
transcript.pyannote[167].end 509.43659375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 510.34784375
transcript.pyannote[168].end 511.41096875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 511.51221875
transcript.pyannote[169].end 511.59659375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 512.27159375
transcript.pyannote[170].end 514.09409375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 514.49909375
transcript.pyannote[171].end 518.04284375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 518.71784375
transcript.pyannote[172].end 525.07971875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 525.58596875
transcript.pyannote[173].end 527.88096875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 528.38721875
transcript.pyannote[174].end 535.76159375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 536.33534375
transcript.pyannote[175].end 538.22534375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 538.54596875
transcript.pyannote[176].end 540.13221875
transcript.whisperx[0].start 5.479
transcript.whisperx[0].end 11.215
transcript.whisperx[0].text 請主席請主委
transcript.whisperx[1].start 18.447
transcript.whisperx[1].end 24.592
transcript.whisperx[1].text 這是6月16號《經濟日報》所寫的國科會規劃涉科學研究首選國有定
transcript.whisperx[2].start 41.255
transcript.whisperx[2].end 62.855
transcript.whisperx[2].text 裡面說因應國際政策派適變化,為耕留台灣在2050年前,國會會議計開發2000公頃科學園區,2000公頃的科學園區那科學園區每個地方都要搶,新設的科學園區會落腳在哪裡?
transcript.whisperx[3].start 64.211
transcript.whisperx[3].end 73.403
transcript.whisperx[3].text 根據國科會的規劃說優先評估水與國營水的土地加以活化利用你有這個規劃嗎這可能要問那個國科會
transcript.whisperx[4].start 82.885
transcript.whisperx[4].end 93.76
transcript.whisperx[4].text 要說國營四月臺堂是全臺最大的地址但是要兩層公廳也要國務法院的同意和認可因為大街尾都在那裡
transcript.whisperx[5].start 95.121
transcript.whisperx[5].end 122.874
transcript.whisperx[5].text 他說台塘規劃產業專業用區土地都在雲林、嘉義、屏東所以陳安之秀他就很好康的,我們的社會雲林也有、嘉義、屏東也有所以說第二次會提出修正我重點是說他要兩層、兩層國科會我今天一直跟你們合調一直跟你們拜託那個大四股計畫在苗栗縣
transcript.whisperx[6].start 124.076
transcript.whisperx[6].end 127.293
transcript.whisperx[6].text 有一個自然科學研究第二期的擴編計畫
transcript.whisperx[7].start 129.432
transcript.whisperx[7].end 154.251
transcript.whisperx[7].text 還有一個投入的科學研區它是在都市計畫內 這個沒有問題還有一個貨農產業專區但是我們現在都要發動了 要做事了 要怎麼去做但是你看我們的政府多可憐 多擔心我要看我 會到你們大溪谷計畫行政院合併我要找一個目的事業主管機關
transcript.whisperx[8].start 155.552
transcript.whisperx[8].end 164.997
transcript.whisperx[8].text 我找不到,我來拜託你國安會幫我協調我拜託行政院長、國民司長、國安處理員都到那裡,你們沒有人要理他們自己發一個公文,請依照法令去找那個目的事的主管機關我想不到,國科會要205年要兩千公頃
transcript.whisperx[9].start 180.845
transcript.whisperx[9].end 199.879
transcript.whisperx[9].text 我這樣把它開發起來大概38公頃我已經在動 已經核定你們沒人要插是不是顏色不備才有這樣的問題我是很不相信你的喔因為你真的做事情但是我一直跟你們拜託你們都沒人要插有有 現在齁 向委員報告齁我們現在後龍產業園區齁那個我知道
transcript.whisperx[10].start 204.363
transcript.whisperx[10].end 220.481
transcript.whisperx[10].text 已經合併就是經濟部做合併了 已經合併很恐慌啊 怕把這個計畫取消掉再來質問科學研究第二期你合併這個目的社會主管機關要誰
transcript.whisperx[11].start 222.554
transcript.whisperx[11].end 231.918
transcript.whisperx[11].text 科學園區一定是國科會啦他就不在這裡啊要拿那兩千公頃還要幫我們綁條所以你看你能不能拜託我幫我做一個公職的我會很感謝你要不要幫我們協調
transcript.whisperx[12].start 240.302
transcript.whisperx[12].end 255.093
transcript.whisperx[12].text 我們去協調看看啦 不能看看啦 要完成啦行政院核定的計畫哪裡有看看的你先給我跟國客會先談一下好 你先講一下 因為我很信任你
transcript.whisperx[13].start 259.389
transcript.whisperx[13].end 273.647
transcript.whisperx[13].text 我一直思索出來都是很有能力的人這個搞不好很丟臉的事如果你沒人要做不去授權給我們苗栗縣政府我們來開發不可以這樣嘛這樣一直拖著我們前進不得後退也不得
transcript.whisperx[14].start 275.8
transcript.whisperx[14].end 283.762
transcript.whisperx[14].text 我先跟國會會討論一下你帶我跟國會會一邊討論你先給我兩禮拜我先講好我相信你喔要給我辦完先看你這個國會會主委有夠了沒夠了就看你一條關於今天我們討論的那個
transcript.whisperx[15].start 301.539
transcript.whisperx[15].end 307.315
transcript.whisperx[15].text 招攬人才啊 男才裝潢我是非常支持 我非常讚賞
transcript.whisperx[16].start 308.939
transcript.whisperx[16].end 336.658
transcript.whisperx[16].text 但是你只要招攬人才,除了你講下條件,我相信大家都知道但是你這個如何啊,這個租稅優惠調整,來他的稅,你要求多少要安裝,因為你一點沒有列在裡面,你的效果應該會差了很多,尤其你們會計事務所,你們是國際會計事務所,你們裡面都有列人頭的公司在,你們有優稅條約,我覺得功效會減低,
transcript.whisperx[17].start 339.9
transcript.whisperx[17].end 362.972
transcript.whisperx[17].text 是,的確就這個部分我們是在租稅上面我們會輸給新加坡跟香港啦你賭人家的租稅還是所得收入都減這麼多你這樣如果變成國家級的劣財的計畫,我感覺要再去加強啦不要只收到一半啦這問題可以提到財政部看看
transcript.whisperx[18].start 363.752
transcript.whisperx[18].end 366.934
transcript.whisperx[18].text 劣財計畫,我現在是改變什麼東西我們的劣財計畫會變成我們是職業訓練中心我們是職業介紹所,我們台灣不一定的處境是這樣你會記得,往高處爬,水往低處流
transcript.whisperx[19].start 382.446
transcript.whisperx[19].end 403.635
transcript.whisperx[19].text 你應該就了解,台灣現在所有的科技人才,美國公司來台灣做的,好,那心碎特別管管到把台積電人才拉走,台積電會提高損失台積電要抓人才,從蓮花科那邊全部來抓人才,又到那一邊
transcript.whisperx[20].start 405.12
transcript.whisperx[20].end 419.71
transcript.whisperx[20].text 一些人才回去之後 研發科開始找每一個科技公司你現在人才出來 你要了解所以你現在這樣來 跟台積電 要在美國接觸 要在日本接觸 要在法國接觸 要在德國接觸
transcript.whisperx[21].start 423.573
transcript.whisperx[21].end 448.932
transcript.whisperx[21].text 我們台灣並做訓練所那邊的薪水高到那邊我們台灣培養訓練所你現在外來人才你怎麼會留在台灣大概兩年三年他覺得協力有成外國公司又來挖角我們台灣的薪水也不是跟我一樣雖然台積電是高但是跟國外比起來容纳還是差了一大截
transcript.whisperx[22].start 449.973
transcript.whisperx[22].end 459.821
transcript.whisperx[22].text 你怎麼去撈這些人才因為企業界所碰到的就是這樣的情形我們的計畫很宏偉我也希望找最優秀的人才拉過來
transcript.whisperx[23].start 461.602
transcript.whisperx[23].end 486.495
transcript.whisperx[23].text 我不知道這些人才現在怎麼好人才都在後面那邊因為他們薪水太高各種環境比較好我們要再去新加坡新加坡又有優惠條件我們要去那邊你知道新百貨現在薪水高得不得了那隻大會去啊他我們能吃的除了你大餐是人家吃的大所以我覺得你這個計畫我們台灣很可憐的主委
transcript.whisperx[24].start 489.532
transcript.whisperx[24].end 517.821
transcript.whisperx[24].text 志祺站起來了他陪人講話就不站起來我講的時間到了我告訴你農兵是信念手希望你這個地方再加強注意你從外國招來的人才希望人才留在台灣不然你搞不好一場空我們變成我講的職業信念手不然就是職業介紹手世界的人頭要找科技找AI都在台灣至少
transcript.whisperx[25].start 519.026
transcript.whisperx[25].end 532.539
transcript.whisperx[25].text 我們這個汗柴處用啊 柴柴什麼用就會變成這樣的情形我跟你們講 這個情形一定會發生所以你們染柴計畫 國家集團應該要好好的考慮這一塊謝謝