iVOD / 170036

Field Value
IVOD_ID 170036
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/170036
日期 2026-06-17
會議資料.會議代碼 委員會-11-5-19-18
會議資料.會議代碼:str 第11屆第5會期經濟委員會第18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 18
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18次全體委員會議
影片種類 Clip
開始時間 2026-06-17T11:38:02+08:00
結束時間 2026-06-17T11:51:35+08:00
影片長度 00:13:33
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/d79496a9ef369d5f8f8e212753c558c36bbd52fc739e0447d92a49a8a6720cc414e39bd33e9c15bb5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱志偉
委員發言時間 11:38:02 - 11:51:35
會議時間 2026-06-17T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第18次全體委員會議(事由:審查115年度中央政府總預算案附屬單位預算非營業部分關於經濟部主管 :經濟作業基金、水資源作業基金、經濟特別收入基金及核能發電後端營運基金。(詢答) 【所列預算提案於115年6月25日(星期四)下午5時截止收件】 【6月17日及6月18日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.18284375
transcript.pyannote[0].end 3.18659375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 15.80909375
transcript.pyannote[1].end 17.02409375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 17.98596875
transcript.pyannote[2].end 19.74096875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 20.06159375
transcript.pyannote[3].end 20.93909375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 21.44534375
transcript.pyannote[4].end 22.44096875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 23.23409375
transcript.pyannote[5].end 26.27159375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 27.03096875
transcript.pyannote[6].end 28.78596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 30.01784375
transcript.pyannote[7].end 30.99659375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 31.35096875
transcript.pyannote[8].end 32.36346875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 33.44346875
transcript.pyannote[9].end 36.70034375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 37.49346875
transcript.pyannote[10].end 40.96971875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 42.08346875
transcript.pyannote[11].end 44.34471875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 45.57659375
transcript.pyannote[12].end 46.26846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 46.79159375
transcript.pyannote[13].end 47.58471875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 48.49596875
transcript.pyannote[14].end 51.76971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 52.24221875
transcript.pyannote[15].end 52.96784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 53.62596875
transcript.pyannote[16].end 54.35159375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 56.17409375
transcript.pyannote[17].end 56.89971875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 57.01784375
transcript.pyannote[18].end 58.19909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 58.28346875
transcript.pyannote[19].end 61.10159375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 62.06346875
transcript.pyannote[20].end 63.16034375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 65.53971875
transcript.pyannote[21].end 65.82659375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 66.43409375
transcript.pyannote[22].end 67.44659375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 68.77971875
transcript.pyannote[23].end 69.62346875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 70.78784375
transcript.pyannote[24].end 73.31909375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 74.29784375
transcript.pyannote[25].end 74.83784375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 75.05721875
transcript.pyannote[26].end 76.66034375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 78.98909375
transcript.pyannote[27].end 80.37284375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 83.37659375
transcript.pyannote[28].end 85.04721875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 85.51971875
transcript.pyannote[29].end 86.16096875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 86.56596875
transcript.pyannote[30].end 87.89909375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 91.62846875
transcript.pyannote[31].end 94.32846875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 92.03346875
transcript.pyannote[32].end 93.61971875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 94.42971875
transcript.pyannote[33].end 97.06221875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 96.23534375
transcript.pyannote[34].end 96.45471875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 98.83409375
transcript.pyannote[35].end 101.34846875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 102.44534375
transcript.pyannote[36].end 102.47909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 102.47909375
transcript.pyannote[37].end 103.00221875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 103.08659375
transcript.pyannote[38].end 104.41971875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 105.68534375
transcript.pyannote[39].end 106.79909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 107.35596875
transcript.pyannote[40].end 109.27971875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 109.71846875
transcript.pyannote[41].end 113.44784375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 113.66721875
transcript.pyannote[42].end 116.02971875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 116.02971875
transcript.pyannote[43].end 117.14346875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 117.70034375
transcript.pyannote[44].end 117.71721875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 117.71721875
transcript.pyannote[45].end 135.06471875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 133.49534375
transcript.pyannote[46].end 146.60721875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 147.33284375
transcript.pyannote[47].end 151.78784375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 152.34471875
transcript.pyannote[48].end 152.42909375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 152.42909375
transcript.pyannote[49].end 152.44596875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 152.44596875
transcript.pyannote[50].end 156.09096875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 156.24284375
transcript.pyannote[51].end 159.01034375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 160.52909375
transcript.pyannote[52].end 164.25846875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 164.73096875
transcript.pyannote[53].end 167.24534375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 167.41409375
transcript.pyannote[54].end 170.36721875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 170.63721875
transcript.pyannote[55].end 172.08846875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 172.39221875
transcript.pyannote[56].end 172.69596875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 173.26971875
transcript.pyannote[57].end 176.45909375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 176.89784375
transcript.pyannote[58].end 189.40221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 189.73971875
transcript.pyannote[59].end 205.90596875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 206.04096875
transcript.pyannote[60].end 219.22034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 219.40596875
transcript.pyannote[61].end 219.54096875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 219.54096875
transcript.pyannote[62].end 219.59159375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 219.59159375
transcript.pyannote[63].end 224.75534375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 224.95784375
transcript.pyannote[64].end 229.00784375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 229.83471875
transcript.pyannote[65].end 230.47596875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 230.57721875
transcript.pyannote[66].end 233.85096875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 234.54284375
transcript.pyannote[67].end 238.30596875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 238.82909375
transcript.pyannote[68].end 241.54596875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 242.65971875
transcript.pyannote[69].end 244.19534375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 244.51596875
transcript.pyannote[70].end 245.64659375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 245.83221875
transcript.pyannote[71].end 248.00909375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 248.86971875
transcript.pyannote[72].end 251.85659375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 252.00846875
transcript.pyannote[73].end 252.02534375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 252.04221875
transcript.pyannote[74].end 254.03346875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 256.71659375
transcript.pyannote[75].end 257.03721875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 257.03721875
transcript.pyannote[76].end 257.25659375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 257.45909375
transcript.pyannote[77].end 257.49284375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 257.49284375
transcript.pyannote[78].end 259.26471875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 259.75409375
transcript.pyannote[79].end 271.97159375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 271.97159375
transcript.pyannote[80].end 281.50596875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 280.39221875
transcript.pyannote[81].end 280.74659375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 281.99534375
transcript.pyannote[82].end 296.86221875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 297.21659375
transcript.pyannote[83].end 299.71409375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 299.96721875
transcript.pyannote[84].end 300.30471875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 300.62534375
transcript.pyannote[85].end 301.58721875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 301.84034375
transcript.pyannote[86].end 302.54909375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 302.76846875
transcript.pyannote[87].end 303.54471875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 304.08471875
transcript.pyannote[88].end 304.79346875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 304.84409375
transcript.pyannote[89].end 305.33346875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 305.83971875
transcript.pyannote[90].end 305.99159375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 306.16034375
transcript.pyannote[91].end 306.68346875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 307.99971875
transcript.pyannote[92].end 308.69159375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 310.51409375
transcript.pyannote[93].end 314.39534375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 315.49221875
transcript.pyannote[94].end 316.20096875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 317.28096875
transcript.pyannote[95].end 320.82471875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 321.28034375
transcript.pyannote[96].end 323.62596875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 324.30096875
transcript.pyannote[97].end 331.23659375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 331.64159375
transcript.pyannote[98].end 334.25721875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 334.57784375
transcript.pyannote[99].end 334.86471875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 335.70846875
transcript.pyannote[100].end 340.83846875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 341.17596875
transcript.pyannote[101].end 344.43284375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 344.58471875
transcript.pyannote[102].end 347.70659375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 348.02721875
transcript.pyannote[103].end 349.49534375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 350.08596875
transcript.pyannote[104].end 351.80721875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 353.37659375
transcript.pyannote[105].end 356.29596875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 356.65034375
transcript.pyannote[106].end 357.88221875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 359.19846875
transcript.pyannote[107].end 362.75909375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 363.29909375
transcript.pyannote[108].end 367.65284375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 368.64846875
transcript.pyannote[109].end 375.29721875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 372.22596875
transcript.pyannote[110].end 372.96846875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 375.68534375
transcript.pyannote[111].end 378.08159375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 379.53284375
transcript.pyannote[112].end 393.42096875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 384.30846875
transcript.pyannote[113].end 385.11846875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 394.04534375
transcript.pyannote[114].end 394.63596875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 395.02409375
transcript.pyannote[115].end 399.31034375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 399.85034375
transcript.pyannote[116].end 401.04846875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 401.68971875
transcript.pyannote[117].end 404.17034375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 405.30096875
transcript.pyannote[118].end 405.62159375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 406.36409375
transcript.pyannote[119].end 407.68034375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 407.84909375
transcript.pyannote[120].end 410.19471875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 411.02159375
transcript.pyannote[121].end 412.50659375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 413.62034375
transcript.pyannote[122].end 415.71284375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 417.13034375
transcript.pyannote[123].end 417.61971875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 417.97409375
transcript.pyannote[124].end 425.58471875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 419.17221875
transcript.pyannote[125].end 419.79659375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 426.00659375
transcript.pyannote[126].end 426.36096875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 426.64784375
transcript.pyannote[127].end 427.66034375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 427.79534375
transcript.pyannote[128].end 428.38596875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 428.79096875
transcript.pyannote[129].end 431.44034375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 432.72284375
transcript.pyannote[130].end 433.44846875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 435.37221875
transcript.pyannote[131].end 438.19034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 438.76409375
transcript.pyannote[132].end 444.65346875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 444.82221875
transcript.pyannote[133].end 447.50534375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 447.62346875
transcript.pyannote[134].end 454.77846875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 455.99346875
transcript.pyannote[135].end 466.21971875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 458.87909375
transcript.pyannote[136].end 461.98409375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 467.62034375
transcript.pyannote[137].end 467.92409375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 468.12659375
transcript.pyannote[138].end 469.49346875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 470.20221875
transcript.pyannote[139].end 476.04096875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 476.29409375
transcript.pyannote[140].end 478.67346875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 479.92221875
transcript.pyannote[141].end 481.87971875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 482.31846875
transcript.pyannote[142].end 487.02659375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 483.41534375
transcript.pyannote[143].end 484.00596875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 484.15784375
transcript.pyannote[144].end 486.84096875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 487.22909375
transcript.pyannote[145].end 489.81096875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 490.51971875
transcript.pyannote[146].end 491.24534375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 491.63346875
transcript.pyannote[147].end 492.64596875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 494.31659375
transcript.pyannote[148].end 498.04596875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 498.90659375
transcript.pyannote[149].end 499.78409375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 500.08784375
transcript.pyannote[150].end 510.82034375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 511.74846875
transcript.pyannote[151].end 514.41471875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 514.48221875
transcript.pyannote[152].end 517.97534375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 514.53284375
transcript.pyannote[153].end 515.89971875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 518.02596875
transcript.pyannote[154].end 522.21096875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 519.42659375
transcript.pyannote[155].end 521.08034375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 522.54846875
transcript.pyannote[156].end 528.21846875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 523.15596875
transcript.pyannote[157].end 525.83909375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 527.29034375
transcript.pyannote[158].end 527.98221875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 528.42096875
transcript.pyannote[159].end 538.83284375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 528.48846875
transcript.pyannote[160].end 528.80909375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 529.97346875
transcript.pyannote[161].end 530.09159375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 535.59284375
transcript.pyannote[162].end 536.50409375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 537.65159375
transcript.pyannote[163].end 538.07346875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 539.72721875
transcript.pyannote[164].end 543.84471875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 539.76096875
transcript.pyannote[165].end 541.87034375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 544.53659375
transcript.pyannote[166].end 546.30846875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 546.76409375
transcript.pyannote[167].end 547.23659375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 547.69221875
transcript.pyannote[168].end 555.67409375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 551.86034375
transcript.pyannote[169].end 552.31596875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 556.29846875
transcript.pyannote[170].end 564.60096875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 560.58471875
transcript.pyannote[171].end 561.04034375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 565.24221875
transcript.pyannote[172].end 566.62596875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 567.19971875
transcript.pyannote[173].end 571.03034375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 568.92096875
transcript.pyannote[174].end 569.24159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 569.30909375
transcript.pyannote[175].end 570.08534375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 571.28346875
transcript.pyannote[176].end 579.67034375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 580.41284375
transcript.pyannote[177].end 581.37471875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 581.56034375
transcript.pyannote[178].end 586.69034375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 586.97721875
transcript.pyannote[179].end 596.61284375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 597.15284375
transcript.pyannote[180].end 600.35909375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 600.78096875
transcript.pyannote[181].end 602.28284375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 602.43471875
transcript.pyannote[182].end 602.77221875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 603.34596875
transcript.pyannote[183].end 604.18971875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 604.54409375
transcript.pyannote[184].end 607.37909375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 607.71659375
transcript.pyannote[185].end 609.31971875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 611.20971875
transcript.pyannote[186].end 612.08721875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 613.01534375
transcript.pyannote[187].end 613.94346875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 614.46659375
transcript.pyannote[188].end 620.38971875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 615.93471875
transcript.pyannote[189].end 616.54221875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 616.55909375
transcript.pyannote[190].end 616.57596875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 616.59284375
transcript.pyannote[191].end 617.35221875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 621.41909375
transcript.pyannote[192].end 623.37659375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 623.78159375
transcript.pyannote[193].end 626.58284375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 627.25784375
transcript.pyannote[194].end 628.27034375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 628.52346875
transcript.pyannote[195].end 636.96096875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 637.80471875
transcript.pyannote[196].end 638.36159375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 642.09096875
transcript.pyannote[197].end 642.51284375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 642.66471875
transcript.pyannote[198].end 655.15221875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 642.79971875
transcript.pyannote[199].end 642.96846875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 643.81221875
transcript.pyannote[200].end 645.87096875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 655.72596875
transcript.pyannote[201].end 659.01659375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 659.40471875
transcript.pyannote[202].end 659.86034375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 660.36659375
transcript.pyannote[203].end 661.32846875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 661.75034375
transcript.pyannote[204].end 662.25659375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 662.96534375
transcript.pyannote[205].end 663.69096875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 666.71159375
transcript.pyannote[206].end 668.01096875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 670.52534375
transcript.pyannote[207].end 670.81221875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 671.47034375
transcript.pyannote[208].end 674.25471875
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 675.35159375
transcript.pyannote[209].end 676.90409375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 677.56221875
transcript.pyannote[210].end 680.93721875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 681.51096875
transcript.pyannote[211].end 685.13909375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 685.42596875
transcript.pyannote[212].end 685.81409375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 685.81409375
transcript.pyannote[213].end 686.30346875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 686.57346875
transcript.pyannote[214].end 689.32409375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 690.47159375
transcript.pyannote[215].end 691.51784375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 692.85096875
transcript.pyannote[216].end 697.03596875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 697.76159375
transcript.pyannote[217].end 700.84971875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 701.71034375
transcript.pyannote[218].end 702.53721875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 702.92534375
transcript.pyannote[219].end 703.51596875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 704.12346875
transcript.pyannote[220].end 705.37221875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 706.60409375
transcript.pyannote[221].end 707.36346875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 708.19034375
transcript.pyannote[222].end 713.13471875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 708.24096875
transcript.pyannote[223].end 708.96659375
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 713.57346875
transcript.pyannote[224].end 714.75471875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 716.05409375
transcript.pyannote[225].end 724.15409375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 723.05721875
transcript.pyannote[226].end 723.14159375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 724.37346875
transcript.pyannote[227].end 725.89221875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 726.48284375
transcript.pyannote[228].end 728.13659375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 728.47409375
transcript.pyannote[229].end 730.33034375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 730.68471875
transcript.pyannote[230].end 732.94596875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 733.24971875
transcript.pyannote[231].end 738.37971875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 738.86909375
transcript.pyannote[232].end 741.80534375
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 742.17659375
transcript.pyannote[233].end 745.07909375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 745.41659375
transcript.pyannote[234].end 746.96909375
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 747.15471875
transcript.pyannote[235].end 754.30971875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 754.68096875
transcript.pyannote[236].end 761.78534375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 762.03846875
transcript.pyannote[237].end 762.64596875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 763.38846875
transcript.pyannote[238].end 765.61596875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 766.61159375
transcript.pyannote[239].end 779.43659375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 772.01159375
transcript.pyannote[240].end 772.68659375
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 779.72346875
transcript.pyannote[241].end 782.13659375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 782.77784375
transcript.pyannote[242].end 784.90409375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 785.68034375
transcript.pyannote[243].end 788.04284375
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 789.79784375
transcript.pyannote[244].end 803.07846875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 790.94534375
transcript.pyannote[245].end 792.02534375
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 792.17721875
transcript.pyannote[246].end 793.15596875
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 804.12471875
transcript.pyannote[247].end 809.23784375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 810.85784375
transcript.pyannote[248].end 812.95034375
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 814.13159375
transcript.pyannote[249].end 815.49846875
transcript.whisperx[0].start 0.229
transcript.whisperx[0].end 28.148
transcript.whisperx[0].text 接下來我們請邱志偉 周偉來質詢好 謝謝主席先請基金部鞏部長休息一下今天省九項基金首先四大本這個
transcript.whisperx[1].start 30.426
transcript.whisperx[1].end 54.079
transcript.whisperx[1].text 這個基金我看了一個晚上現在看得頭暈的但頭暈的腦袋也很清楚先從經濟特別收入基金其中推廣貿易基金是劉署長能源研究石油基金是吳署長中小企業是李署長
transcript.whisperx[2].start 56.423
transcript.whisperx[2].end 76.496
transcript.whisperx[2].text 三位署長你們所管的基金都應該都很了解吧先問一下那個推廣貿易基金推廣貿易基金是理事長你主管這個基金的金額今年變成多少?今年變成多少?
transcript.whisperx[3].start 86.605
transcript.whisperx[3].end 104.27
transcript.whisperx[3].text 58億比去年度增加還是減少比去年增加減少大概2億左右為什麼減少主要是在ODA的這個部分這個我看的不會比你
transcript.whisperx[4].start 106.531
transcript.whisperx[4].end 133.801
transcript.whisperx[4].text 是所以你要來這邊來接受我的質詢你對你的預算你這基金要很清楚啊是好你們有沒有編列CPTPP的相關預算報告委員CPTPP部分我們一直有在雙邊架構推動所以比如說我們跟其他國家在進行雙邊會議的時候都會去提這個CPTPP的案子但是不會是單獨一個叫CPTPP的科目相關CPTPP預算是在
transcript.whisperx[5].start 134.721
transcript.whisperx[5].end 158.683
transcript.whisperx[5].text 你們從113年度整年度跟114年度上半年度你們貿易推廣計畫你們第一項實際推動加入CPTPP融入區域經濟整合對不對這是你們的工作計畫你說沒有你有工作計畫就要編列預算嘛是那你我看你113年度你的計畫執行結果怎麼樣114上半年度你們執行成功怎麼樣
transcript.whisperx[6].start 160.578
transcript.whisperx[6].end 176.026
transcript.whisperx[6].text 我先講我的想法啦CPTPP是一個重要的這個經貿戰略它的難度很高因為有中國的因素那我們不能因為有中國的因素我們就不作為而且要更加繼續作為是如果這種情況之下你要表示政府的立場
transcript.whisperx[7].start 177.006
transcript.whisperx[7].end 198.469
transcript.whisperx[7].text 我去日本我去甚至去秘魯我去這個加拿大為了GPP我談很多事這是從立法院的角度但行政部門你主管是國貿啊國貿署也好或者是外交部或者是OTC也好這都是你們共同要協助的工作那你有預算你就要去跟所有的相關的會員國去做一些的拜訪
transcript.whisperx[8].start 199.21
transcript.whisperx[8].end 213.68
transcript.whisperx[8].text 譬如說部長你可以指派次長或者是指派署長署長如果官位太高副署長也可以你去12個會員國走一趟你去馬來你去文來你去越南代表我們這個宣誓說我們重視CPTPP這個議題重視難度很高有中國因素我一直強調但是我們還是要積極作為啊你沒有派人去完全沒有積極作為我們認為政府沒有這個決心嘛假設你跟這個所有的會員國去談論的過程中
transcript.whisperx[9].start 229.891
transcript.whisperx[9].end 253.889
transcript.whisperx[9].text 我們最高目標是希望他們能夠支持台灣成立公眾小組如果這個大目標沒辦法達成我們可以退而求其次追求跟他們雙邊的經貿關係的強化嘛所以你那個大戰略觀啊你有這個預算你告訴我說沒有但是明明你有這個計畫你就要去執行你要去執行你要拿出成果啊
transcript.whisperx[10].start 257.979
transcript.whisperx[10].end 281.113
transcript.whisperx[10].text 這個 來 那個署長你回應一下是 報告委員 像其實的確我們在推動CPTPP我們會配合行政院的這個CPTPP的工作小組的指示歐伊茲是決策 他是一個你前線作戰部隊是你們駐外人員是外交部的駐外人員 歐伊茲是一個整合 是一個決策者的角色這我都很清楚 那你們呢
transcript.whisperx[11].start 282.054
transcript.whisperx[11].end 304.284
transcript.whisperx[11].text 你作為一個這個國際貿易主管機關這個是你的業務之一你要拿出作為我一直強調你派個組長去你派個次長去你派個副組長去這也是一個宣誓嘛我希望你在你這個基金預算裡面我給你支持我希望你要拿出繼續作為是好你的問題到此好謝謝委員下一位這個吳署長委員好這個
transcript.whisperx[12].start 310.558
transcript.whisperx[12].end 328.966
transcript.whisperx[12].text 能源研究發展計畫裡面這個能源基金裡面這個113年度你們的工作的這個成果就參考全能經濟成長率然後納入人口氣候AI科技半導體發電等等的參數預估113到122國內用電需求年全能經濟成長率2.8對不對
transcript.whisperx[13].start 336.031
transcript.whisperx[13].end 357.786
transcript.whisperx[13].text 對就是那個我們的那個叫做長期負載預測2.8嘛來那我看到114年度上半年度你們的工作成果好一樣是這些文字敘述描述但是你的數據是哪裡113年度跟114年度完全不一樣那你預估的成果呢
transcript.whisperx[14].start 359.244
transcript.whisperx[14].end 377.318
transcript.whisperx[14].text 他的國內用電需求年均成長率數據是多少我們去年114年預估的比較低啦我記得好像是1.7但是跟委員報告那個部分我們每年都會滾動為什麼你們在你們工作報告沒有呈現出來那你在113年有成長你有寫2.8
transcript.whisperx[15].start 379.805
transcript.whisperx[15].end 403.822
transcript.whisperx[15].text 這個我們在改進啦但是我跟委員報告就是說那個部分本來就是我們每年會滾動我用常識來理解這個電力的需求年輕時代你到AI包括這個算力中心應當是往上爬才對啊那你113是2.811是上半年你說變1.7這個我很難理解而且你沒有在你的報告中去呈現啊
transcript.whisperx[16].start 406.416
transcript.whisperx[16].end 430.966
transcript.whisperx[16].text 好不要以為說這個立法委員都不看你們預算書我是看的比你還細我還要搭高鐵你不用搭高鐵另外這個部分你們去檢討一下是是是到底你這個用電需求成長率是多少我們才能做用電規劃嘛是好你委託這個葉子代儲正午除油幾萬公瓶呃
transcript.whisperx[17].start 435.644
transcript.whisperx[17].end 448.393
transcript.whisperx[17].text 這個是common sense啊 這個如果還答不出來 署長你要加油這個數字我不是看這個 我本來就知道啊每年都是283萬公筆 你在113年度委託業主代儲政府除了280萬公筆 儲蓄呢
transcript.whisperx[18].start 456.915
transcript.whisperx[18].end 478.005
transcript.whisperx[18].text 除氣的部分我們沒有委託只有委託葉子代為280萬公平280萬公平大概幾天的安全除量42天左右因為我們有政府除油跟葉子的除油兩塊那總共加起來現在大概差不多現在比較高 可能大概超過160天
transcript.whisperx[19].start 479.943
transcript.whisperx[19].end 497.87
transcript.whisperx[19].text 多少 116天 160天我們安全處有160天所以民間的280萬公秉委託這個業者儲存的這個部分有沒有可能再提高因為我們現在政府處理喔 受到一些限制
transcript.whisperx[20].start 498.976
transcript.whisperx[20].end 510.366
transcript.whisperx[20].text 稍微一些限制如果委託民間業者在外出遊這個出遊量有沒有可能283公里再提高各位報告我們現在政府出遊其實也是委託業者去儲存
transcript.whisperx[21].start 511.823
transcript.whisperx[21].end 538.328
transcript.whisperx[21].text 就是我們政府其實沒有蓋儲槽所以你280萬全部都是儲油總量對對對我們沒有政府去儲油政府的部分政府部分它有一個法令我再理解一下我們只有安全存量是不是就有兩塊一塊是政府儲的就是我們委託業者去儲那另外一塊是我們要求業者要儲那總共加起來政府也是委託業者去儲那業者也要儲
transcript.whisperx[22].start 539.81
transcript.whisperx[22].end 555.421
transcript.whisperx[22].text 所以業者自己也有責任280萬公筆我們花多少錢請業者代儲我們一年多少21億的補助金21億請民間代儲那民間的安全水平下民間業者自己儲多少
transcript.whisperx[23].start 556.365
transcript.whisperx[23].end 579.199
transcript.whisperx[23].text 民間的存量 我們的規定是要60天以上對啊 283萬 政府代儲的是40%左右對不對你說 剛剛你說40%40幾天40幾天 好 那我們安全是幾天我們現在總共的安全存量是政府是30天 然後業者是60天 所以總共90天 這是法定的但是我們通常會超過
transcript.whisperx[24].start 580.578
transcript.whisperx[24].end 609.011
transcript.whisperx[24].text 會超過這個量對你現在越講我越糊塗你這個會後因為我們那麼多時間會後我再補充給委員另外你們氫能推動小組我看你113年的成果跟114年300年的成果好你們導入這個國際氫能相關的技術電子型燃料電池發電系統設置補助要點對你知道這個嗎對好成果怎麼樣113年你們核定建制的容量是多少MW
transcript.whisperx[25].start 613.067
transcript.whisperx[25].end 638.144
transcript.whisperx[25].text 那個數字那個數字我在基本上你們上來每一個署長都要帶一本這個預算書2.05MW全台檢總建制量也是3.45MW那你們2014年呢2014年的容量有沒有增加如果要增加才是合理你沒有增加代表說你對親人沒有積極去推動啊是不是
transcript.whisperx[26].start 643.23
transcript.whisperx[26].end 663.558
transcript.whisperx[26].text 處長 這些問題因為我實驗到 我不太習慣無邊際延長我聽到有人還要講到30分鐘我很不可思議 我不會無邊際延長我會有限度的做一些這個時間的增加也要經過這個主席的同意好 那請你先回座 下一位來 中長謝署水資源還沒有實驗問
transcript.whisperx[27].start 671.503
transcript.whisperx[27].end 696.594
transcript.whisperx[27].text 來,你們林口新創園區聚落你們成果,我們這個服務431家新創及中小企業那去年度是396家那基因額呢?包括我們在南部有南科、南卵、高卵跟竹醫育成中心
transcript.whisperx[28].start 697.85
transcript.whisperx[28].end 714.54
transcript.whisperx[28].text 你們在100幾年度113年度你們是總共多少金額?13億13億嗎?你是講相關的權利金的收入是不是?我講促成這個投資的金額促成投資金額是
transcript.whisperx[29].start 716.089
transcript.whisperx[29].end 737.954
transcript.whisperx[29].text 因為主要新創園跟育成中心主要是作為一個培育新創企業的一個場地我知道了我要告訴你說為什麼這個扶植的加速是一樣的但是去年可以到13億今年上半年只有0.76億這差別在哪裡你回去看你預算書我的問題完全是來自你預算書
transcript.whisperx[30].start 739.214
transcript.whisperx[30].end 764.464
transcript.whisperx[30].text 你要了解說你把提供這個特別是在高卵在高卵你們在育成中心所培育的中小企業總共有幾家你把113年度整年度跟114年度上半年度的加數給我高卵的部分然後促成投資的這個金額數有多少因為這個落差太大
transcript.whisperx[31].start 767.842
transcript.whisperx[31].end 783.609
transcript.whisperx[31].text 因為國務委員報告他每一年的新增的投資金額可能也是要看他那個加速是差不多為什麼金額差了十幾倍你要去了解一下這個執行面有問題那我後面還有水資源後面還有這個產業園區沒關係再找個梁承基實在的問
transcript.whisperx[32].start 789.841
transcript.whisperx[32].end 815.166
transcript.whisperx[32].text 好 謝謝主席好 謝謝主席來 邱組長我現在要質詢就是要請您去理解這個我質詢重點在哪裡這個Dyson預算說實在這預算書每一個每一個署長都要帶在帶在這個手上馬上馬上應該對數據應該要很精進去掌握謝謝好 謝謝邱組委 張委員接下來我們請這一個