| IVOD_ID |
168649 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/168649 |
| 日期 |
2026-04-21 |
| 會議資料.會議代碼 |
院會-11-5-7 |
| 會議資料.會議代碼:str |
第11屆第5會期第7次會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 會議資料.會次 |
7 |
| 會議資料.種類 |
院會 |
| 會議資料.標題 |
第11屆第5會期第7次會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-04-21T11:18:06+08:00 |
| 結束時間 |
2026-04-21T11:33:54+08:00 |
| 影片長度 |
00:15:48 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a5162d46ac0a80890ccdedd3feccaa250b71058f854e4ac4f69ceef3626fd72e45d84521957c0fb45ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
范雲 |
| 委員發言時間 |
11:18:06 - 11:33:54 |
| 會議時間 |
2026-04-21T09:00:00+08:00 |
| 會議名稱 |
第11屆第5會期第7次會議（事由：一、討論事項：本院國民黨黨團，建請院會作成決議：「針對開放印度移工來台，國人深感憂心，要求行政院院長率相關部會首長向立法院提出『開放印度移工來台對我國整體勞工政策與社會治安的衝擊及相關配套（含強化國與國直聘制度及失聯移工強制遣返機制）防治作為』專案報告，並備質詢。」是否有當？請公決案等4案。（4月17日）二、對行政院院長提出施政方針及施政報告繼續質詢。（4月17日）三、邀請行政院院長、主計長、財政部部長列席報告「115年度中央政府總預算案」編製經過並備質詢（含志願役軍人加薪及警消人員退休金等預算編製處理情形併予報告）。（4月21日）四、4月17日上午9時至10時為國是論壇時間。） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
1.02659375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
1.02659375 |
| transcript.pyannote[1].end |
1.78596875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
11.35409375 |
| transcript.pyannote[2].end |
12.19784375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
12.38346875 |
| transcript.pyannote[3].end |
14.88096875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
15.26909375 |
| transcript.pyannote[4].end |
16.38284375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
25.74846875 |
| transcript.pyannote[5].end |
26.40659375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
26.40659375 |
| transcript.pyannote[6].end |
27.84096875 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
27.97596875 |
| transcript.pyannote[7].end |
49.37346875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
50.65596875 |
| transcript.pyannote[8].end |
51.02721875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
51.85409375 |
| transcript.pyannote[9].end |
53.87909375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
54.55409375 |
| transcript.pyannote[10].end |
57.01784375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
57.43971875 |
| transcript.pyannote[11].end |
59.00909375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
59.17784375 |
| transcript.pyannote[12].end |
60.44346875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
60.73034375 |
| transcript.pyannote[13].end |
63.14346875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
63.48096875 |
| transcript.pyannote[14].end |
65.69159375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
65.87721875 |
| transcript.pyannote[15].end |
67.51409375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
67.75034375 |
| transcript.pyannote[16].end |
70.93971875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
71.39534375 |
| transcript.pyannote[17].end |
72.00284375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
72.34034375 |
| transcript.pyannote[18].end |
74.70284375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
74.98971875 |
| transcript.pyannote[19].end |
76.91346875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
77.21721875 |
| transcript.pyannote[20].end |
78.41534375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
78.76971875 |
| transcript.pyannote[21].end |
80.81159375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
80.96346875 |
| transcript.pyannote[22].end |
83.05596875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
83.25846875 |
| transcript.pyannote[23].end |
84.84471875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
85.06409375 |
| transcript.pyannote[24].end |
86.81909375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
87.08909375 |
| transcript.pyannote[25].end |
88.35471875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
88.75971875 |
| transcript.pyannote[26].end |
90.51471875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
90.88596875 |
| transcript.pyannote[27].end |
91.37534375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
91.44284375 |
| transcript.pyannote[28].end |
92.37096875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
92.74221875 |
| transcript.pyannote[29].end |
94.81784375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
95.27346875 |
| transcript.pyannote[30].end |
96.42096875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
96.62346875 |
| transcript.pyannote[31].end |
97.65284375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
98.24346875 |
| transcript.pyannote[32].end |
99.39096875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
99.71159375 |
| transcript.pyannote[33].end |
100.40346875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
100.72409375 |
| transcript.pyannote[34].end |
104.55471875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
105.01034375 |
| transcript.pyannote[35].end |
154.48784375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
154.70721875 |
| transcript.pyannote[36].end |
157.23846875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
157.57596875 |
| transcript.pyannote[37].end |
160.95096875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
161.13659375 |
| transcript.pyannote[38].end |
162.90846875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
162.95909375 |
| transcript.pyannote[39].end |
168.24096875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
168.24096875 |
| transcript.pyannote[40].end |
302.19471875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
265.05284375 |
| transcript.pyannote[41].end |
265.13721875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
302.54909375 |
| transcript.pyannote[42].end |
352.68471875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
353.07284375 |
| transcript.pyannote[43].end |
354.06846875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
354.47346875 |
| transcript.pyannote[44].end |
356.97096875 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
354.81096875 |
| transcript.pyannote[45].end |
354.87846875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
357.47721875 |
| transcript.pyannote[46].end |
359.50221875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
359.80596875 |
| transcript.pyannote[47].end |
361.81409375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
362.18534375 |
| transcript.pyannote[48].end |
364.80096875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
365.10471875 |
| transcript.pyannote[49].end |
368.24346875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
368.36159375 |
| transcript.pyannote[50].end |
370.96034375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
371.21346875 |
| transcript.pyannote[51].end |
372.31034375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
373.55909375 |
| transcript.pyannote[52].end |
375.34784375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
375.85409375 |
| transcript.pyannote[53].end |
378.13221875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
378.45284375 |
| transcript.pyannote[54].end |
380.17409375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
380.64659375 |
| transcript.pyannote[55].end |
381.52409375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
382.58721875 |
| transcript.pyannote[56].end |
384.69659375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
385.25346875 |
| transcript.pyannote[57].end |
386.24909375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
386.70471875 |
| transcript.pyannote[58].end |
387.44721875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
388.02096875 |
| transcript.pyannote[59].end |
389.72534375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
389.99534375 |
| transcript.pyannote[60].end |
391.53096875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
391.66596875 |
| transcript.pyannote[61].end |
394.01159375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
394.53471875 |
| transcript.pyannote[62].end |
394.93971875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
395.51346875 |
| transcript.pyannote[63].end |
395.96909375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
396.08721875 |
| transcript.pyannote[64].end |
397.36971875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
398.07846875 |
| transcript.pyannote[65].end |
400.76159375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
401.23409375 |
| transcript.pyannote[66].end |
401.55471875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
401.72346875 |
| transcript.pyannote[67].end |
403.51221875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
403.95096875 |
| transcript.pyannote[68].end |
406.21221875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
406.39784375 |
| transcript.pyannote[69].end |
411.17346875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
411.51096875 |
| transcript.pyannote[70].end |
414.04221875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
414.29534375 |
| transcript.pyannote[71].end |
414.81846875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
415.29096875 |
| transcript.pyannote[72].end |
417.40034375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
417.70409375 |
| transcript.pyannote[73].end |
421.68659375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
422.14221875 |
| transcript.pyannote[74].end |
426.22596875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
426.63096875 |
| transcript.pyannote[75].end |
433.38096875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
433.83659375 |
| transcript.pyannote[76].end |
435.91221875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
436.13159375 |
| transcript.pyannote[77].end |
437.46471875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
437.56596875 |
| transcript.pyannote[78].end |
438.13971875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
438.51096875 |
| transcript.pyannote[79].end |
439.69221875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
439.86096875 |
| transcript.pyannote[80].end |
440.56971875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
440.63721875 |
| transcript.pyannote[81].end |
443.47221875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
443.72534375 |
| transcript.pyannote[82].end |
449.83409375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
449.88471875 |
| transcript.pyannote[83].end |
451.52159375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
451.77471875 |
| transcript.pyannote[84].end |
453.37784375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
453.98534375 |
| transcript.pyannote[85].end |
455.06534375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
455.20034375 |
| transcript.pyannote[86].end |
456.53346875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
456.85409375 |
| transcript.pyannote[87].end |
458.01846875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
458.30534375 |
| transcript.pyannote[88].end |
459.09846875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
459.62159375 |
| transcript.pyannote[89].end |
460.92096875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
461.35971875 |
| transcript.pyannote[90].end |
463.31721875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
463.40159375 |
| transcript.pyannote[91].end |
465.03846875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
465.35909375 |
| transcript.pyannote[92].end |
466.62471875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
467.02971875 |
| transcript.pyannote[93].end |
469.17284375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
469.34159375 |
| transcript.pyannote[94].end |
472.88534375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
473.27346875 |
| transcript.pyannote[95].end |
475.36596875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
476.29409375 |
| transcript.pyannote[96].end |
477.61034375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
477.82971875 |
| transcript.pyannote[97].end |
480.19221875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
480.37784375 |
| transcript.pyannote[98].end |
481.05284375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
481.44096875 |
| transcript.pyannote[99].end |
483.78659375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
484.10721875 |
| transcript.pyannote[100].end |
484.42784375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
485.08596875 |
| transcript.pyannote[101].end |
485.87909375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
486.18284375 |
| transcript.pyannote[102].end |
487.24596875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
487.53284375 |
| transcript.pyannote[103].end |
488.17409375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
488.41034375 |
| transcript.pyannote[104].end |
489.43971875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
489.84471875 |
| transcript.pyannote[105].end |
491.66721875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
492.03846875 |
| transcript.pyannote[106].end |
493.62471875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
494.29971875 |
| transcript.pyannote[107].end |
495.83534375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
496.22346875 |
| transcript.pyannote[108].end |
496.76346875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
497.20221875 |
| transcript.pyannote[109].end |
497.62409375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
498.09659375 |
| transcript.pyannote[110].end |
499.22721875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
499.56471875 |
| transcript.pyannote[111].end |
501.25221875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
501.43784375 |
| transcript.pyannote[112].end |
503.41221875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
503.71596875 |
| transcript.pyannote[113].end |
505.36971875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
505.70721875 |
| transcript.pyannote[114].end |
507.22596875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
507.36096875 |
| transcript.pyannote[115].end |
509.67284375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
510.92159375 |
| transcript.pyannote[116].end |
514.48221875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
514.56659375 |
| transcript.pyannote[117].end |
520.92846875 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
521.41784375 |
| transcript.pyannote[118].end |
546.34221875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
547.99596875 |
| transcript.pyannote[119].end |
548.82284375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
548.23221875 |
| transcript.pyannote[120].end |
550.56096875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
549.86909375 |
| transcript.pyannote[121].end |
552.72096875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
553.07534375 |
| transcript.pyannote[122].end |
554.89784375 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
555.30284375 |
| transcript.pyannote[123].end |
556.39971875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
556.73721875 |
| transcript.pyannote[124].end |
557.17596875 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
557.49659375 |
| transcript.pyannote[125].end |
559.96034375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
560.14596875 |
| transcript.pyannote[126].end |
561.49596875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
561.78284375 |
| transcript.pyannote[127].end |
564.97221875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
565.56284375 |
| transcript.pyannote[128].end |
567.06471875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
567.31784375 |
| transcript.pyannote[129].end |
567.80721875 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
568.63409375 |
| transcript.pyannote[130].end |
571.63784375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
571.82346875 |
| transcript.pyannote[131].end |
574.38846875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
575.06346875 |
| transcript.pyannote[132].end |
577.98284375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
578.37096875 |
| transcript.pyannote[133].end |
581.02034375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
581.32409375 |
| transcript.pyannote[134].end |
584.29409375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
584.56409375 |
| transcript.pyannote[135].end |
586.53846875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
586.72409375 |
| transcript.pyannote[136].end |
587.56784375 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
588.04034375 |
| transcript.pyannote[137].end |
590.33534375 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
590.89221875 |
| transcript.pyannote[138].end |
641.12909375 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
641.44971875 |
| transcript.pyannote[139].end |
672.82034375 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
673.39409375 |
| transcript.pyannote[140].end |
675.97596875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
673.71471875 |
| transcript.pyannote[141].end |
674.15346875 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
676.14471875 |
| transcript.pyannote[142].end |
680.41409375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
680.98784375 |
| transcript.pyannote[143].end |
682.79346875 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
683.02971875 |
| transcript.pyannote[144].end |
683.43471875 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
683.78909375 |
| transcript.pyannote[145].end |
691.97346875 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
691.97346875 |
| transcript.pyannote[146].end |
694.52159375 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
692.44596875 |
| transcript.pyannote[147].end |
693.01971875 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
694.38659375 |
| transcript.pyannote[148].end |
703.29659375 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
695.68596875 |
| transcript.pyannote[149].end |
697.45784375 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
703.58346875 |
| transcript.pyannote[150].end |
706.50284375 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
706.57034375 |
| transcript.pyannote[151].end |
708.07221875 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
708.54471875 |
| transcript.pyannote[152].end |
710.43471875 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
710.73846875 |
| transcript.pyannote[153].end |
711.53159375 |
| transcript.pyannote[154].speaker |
SPEAKER_00 |
| transcript.pyannote[154].start |
712.07159375 |
| transcript.pyannote[154].end |
714.14721875 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
714.46784375 |
| transcript.pyannote[155].end |
715.54784375 |
| transcript.pyannote[156].speaker |
SPEAKER_00 |
| transcript.pyannote[156].start |
716.57721875 |
| transcript.pyannote[156].end |
717.94409375 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
718.12971875 |
| transcript.pyannote[157].end |
719.46284375 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
719.64846875 |
| transcript.pyannote[158].end |
720.84659375 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
721.13346875 |
| transcript.pyannote[159].end |
722.46659375 |
| transcript.pyannote[160].speaker |
SPEAKER_00 |
| transcript.pyannote[160].start |
722.70284375 |
| transcript.pyannote[160].end |
725.38596875 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
726.11159375 |
| transcript.pyannote[161].end |
728.03534375 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
728.30534375 |
| transcript.pyannote[162].end |
728.77784375 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
729.58784375 |
| transcript.pyannote[163].end |
732.16971875 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
732.22034375 |
| transcript.pyannote[164].end |
735.24096875 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
735.78096875 |
| transcript.pyannote[165].end |
738.91971875 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
739.10534375 |
| transcript.pyannote[166].end |
739.98284375 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
740.21909375 |
| transcript.pyannote[167].end |
741.23159375 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
741.43409375 |
| transcript.pyannote[168].end |
742.05846875 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
743.12159375 |
| transcript.pyannote[169].end |
743.79659375 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
744.11721875 |
| transcript.pyannote[170].end |
745.43346875 |
| transcript.pyannote[171].speaker |
SPEAKER_00 |
| transcript.pyannote[171].start |
745.55159375 |
| transcript.pyannote[171].end |
747.52596875 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
747.98159375 |
| transcript.pyannote[172].end |
750.34409375 |
| transcript.pyannote[173].speaker |
SPEAKER_00 |
| transcript.pyannote[173].start |
750.81659375 |
| transcript.pyannote[173].end |
751.93034375 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
752.62221875 |
| transcript.pyannote[174].end |
753.12846875 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
753.46596875 |
| transcript.pyannote[175].end |
753.97221875 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
754.39409375 |
| transcript.pyannote[176].end |
754.95096875 |
| transcript.pyannote[177].speaker |
SPEAKER_00 |
| transcript.pyannote[177].start |
755.22096875 |
| transcript.pyannote[177].end |
757.04346875 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
757.70159375 |
| transcript.pyannote[178].end |
758.08971875 |
| transcript.pyannote[179].speaker |
SPEAKER_00 |
| transcript.pyannote[179].start |
758.27534375 |
| transcript.pyannote[179].end |
768.23159375 |
| transcript.pyannote[180].speaker |
SPEAKER_00 |
| transcript.pyannote[180].start |
768.83909375 |
| transcript.pyannote[180].end |
771.37034375 |
| transcript.pyannote[181].speaker |
SPEAKER_00 |
| transcript.pyannote[181].start |
771.75846875 |
| transcript.pyannote[181].end |
776.83784375 |
| transcript.pyannote[182].speaker |
SPEAKER_01 |
| transcript.pyannote[182].start |
777.34409375 |
| transcript.pyannote[182].end |
787.73909375 |
| transcript.pyannote[183].speaker |
SPEAKER_00 |
| transcript.pyannote[183].start |
782.94659375 |
| transcript.pyannote[183].end |
783.33471875 |
| transcript.pyannote[184].speaker |
SPEAKER_00 |
| transcript.pyannote[184].start |
787.04721875 |
| transcript.pyannote[184].end |
788.34659375 |
| transcript.pyannote[185].speaker |
SPEAKER_01 |
| transcript.pyannote[185].start |
788.59971875 |
| transcript.pyannote[185].end |
832.57596875 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
833.33534375 |
| transcript.pyannote[186].end |
834.19596875 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
834.66846875 |
| transcript.pyannote[187].end |
838.53284375 |
| transcript.pyannote[188].speaker |
SPEAKER_00 |
| transcript.pyannote[188].start |
838.76909375 |
| transcript.pyannote[188].end |
840.33846875 |
| transcript.pyannote[189].speaker |
SPEAKER_00 |
| transcript.pyannote[189].start |
840.92909375 |
| transcript.pyannote[189].end |
844.65846875 |
| transcript.pyannote[190].speaker |
SPEAKER_00 |
| transcript.pyannote[190].start |
845.14784375 |
| transcript.pyannote[190].end |
846.71721875 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
847.08846875 |
| transcript.pyannote[191].end |
848.52284375 |
| transcript.pyannote[192].speaker |
SPEAKER_00 |
| transcript.pyannote[192].start |
848.67471875 |
| transcript.pyannote[192].end |
852.72471875 |
| transcript.pyannote[193].speaker |
SPEAKER_00 |
| transcript.pyannote[193].start |
852.96096875 |
| transcript.pyannote[193].end |
857.24721875 |
| transcript.pyannote[194].speaker |
SPEAKER_00 |
| transcript.pyannote[194].start |
857.41596875 |
| transcript.pyannote[194].end |
859.50846875 |
| transcript.pyannote[195].speaker |
SPEAKER_00 |
| transcript.pyannote[195].start |
859.71096875 |
| transcript.pyannote[195].end |
861.66846875 |
| transcript.pyannote[196].speaker |
SPEAKER_00 |
| transcript.pyannote[196].start |
861.71909375 |
| transcript.pyannote[196].end |
865.56659375 |
| transcript.pyannote[197].speaker |
SPEAKER_00 |
| transcript.pyannote[197].start |
865.75221875 |
| transcript.pyannote[197].end |
868.50284375 |
| transcript.pyannote[198].speaker |
SPEAKER_00 |
| transcript.pyannote[198].start |
868.67159375 |
| transcript.pyannote[198].end |
870.51096875 |
| transcript.pyannote[199].speaker |
SPEAKER_00 |
| transcript.pyannote[199].start |
870.73034375 |
| transcript.pyannote[199].end |
872.11409375 |
| transcript.pyannote[200].speaker |
SPEAKER_00 |
| transcript.pyannote[200].start |
872.72159375 |
| transcript.pyannote[200].end |
873.70034375 |
| transcript.pyannote[201].speaker |
SPEAKER_00 |
| transcript.pyannote[201].start |
873.98721875 |
| transcript.pyannote[201].end |
874.83096875 |
| transcript.pyannote[202].speaker |
SPEAKER_00 |
| transcript.pyannote[202].start |
875.30346875 |
| transcript.pyannote[202].end |
878.50971875 |
| transcript.pyannote[203].speaker |
SPEAKER_00 |
| transcript.pyannote[203].start |
878.84721875 |
| transcript.pyannote[203].end |
880.72034375 |
| transcript.pyannote[204].speaker |
SPEAKER_00 |
| transcript.pyannote[204].start |
881.46284375 |
| transcript.pyannote[204].end |
885.20909375 |
| transcript.pyannote[205].speaker |
SPEAKER_00 |
| transcript.pyannote[205].start |
885.44534375 |
| transcript.pyannote[205].end |
888.58409375 |
| transcript.pyannote[206].speaker |
SPEAKER_00 |
| transcript.pyannote[206].start |
888.68534375 |
| transcript.pyannote[206].end |
893.39346875 |
| transcript.pyannote[207].speaker |
SPEAKER_00 |
| transcript.pyannote[207].start |
893.69721875 |
| transcript.pyannote[207].end |
897.08909375 |
| transcript.pyannote[208].speaker |
SPEAKER_00 |
| transcript.pyannote[208].start |
897.32534375 |
| transcript.pyannote[208].end |
899.50221875 |
| transcript.pyannote[209].speaker |
SPEAKER_00 |
| transcript.pyannote[209].start |
900.54846875 |
| transcript.pyannote[209].end |
902.01659375 |
| transcript.pyannote[210].speaker |
SPEAKER_00 |
| transcript.pyannote[210].start |
902.72534375 |
| transcript.pyannote[210].end |
904.73346875 |
| transcript.pyannote[211].speaker |
SPEAKER_00 |
| transcript.pyannote[211].start |
905.02034375 |
| transcript.pyannote[211].end |
906.23534375 |
| transcript.pyannote[212].speaker |
SPEAKER_00 |
| transcript.pyannote[212].start |
906.64034375 |
| transcript.pyannote[212].end |
907.83846875 |
| transcript.pyannote[213].speaker |
SPEAKER_00 |
| transcript.pyannote[213].start |
908.93534375 |
| transcript.pyannote[213].end |
913.54221875 |
| transcript.pyannote[214].speaker |
SPEAKER_00 |
| transcript.pyannote[214].start |
913.55909375 |
| transcript.pyannote[214].end |
915.02721875 |
| transcript.pyannote[215].speaker |
SPEAKER_00 |
| transcript.pyannote[215].start |
915.07784375 |
| transcript.pyannote[215].end |
916.64721875 |
| transcript.pyannote[216].speaker |
SPEAKER_00 |
| transcript.pyannote[216].start |
916.74846875 |
| transcript.pyannote[216].end |
919.85346875 |
| transcript.pyannote[217].speaker |
SPEAKER_00 |
| transcript.pyannote[217].start |
920.84909375 |
| transcript.pyannote[217].end |
921.57471875 |
| transcript.pyannote[218].speaker |
SPEAKER_00 |
| transcript.pyannote[218].start |
921.81096875 |
| transcript.pyannote[218].end |
924.78096875 |
| transcript.pyannote[219].speaker |
SPEAKER_00 |
| transcript.pyannote[219].start |
924.96659375 |
| transcript.pyannote[219].end |
927.27846875 |
| transcript.pyannote[220].speaker |
SPEAKER_00 |
| transcript.pyannote[220].start |
927.46409375 |
| transcript.pyannote[220].end |
927.91971875 |
| transcript.pyannote[221].speaker |
SPEAKER_00 |
| transcript.pyannote[221].start |
927.98721875 |
| transcript.pyannote[221].end |
930.41721875 |
| transcript.pyannote[222].speaker |
SPEAKER_00 |
| transcript.pyannote[222].start |
935.68221875 |
| transcript.pyannote[222].end |
936.72846875 |
| transcript.pyannote[223].speaker |
SPEAKER_01 |
| transcript.pyannote[223].start |
946.41471875 |
| transcript.pyannote[223].end |
949.77284375 |
| transcript.pyannote[224].speaker |
SPEAKER_01 |
| transcript.pyannote[224].start |
949.95846875 |
| transcript.pyannote[224].end |
949.97534375 |
| transcript.whisperx[0].start |
0.449 |
| transcript.whisperx[0].end |
14.377 |
| transcript.whisperx[0].text |
請范雲委員質詢謝謝副院長有請卓院長請卓院長備詢 |
| transcript.whisperx[1].start |
26.842 |
| transcript.whisperx[1].end |
53.654 |
| transcript.whisperx[1].text |
院長早安因為剛剛有委員提到這個所謂的以政逼商那我個人是認為台灣是民主政治那幾乎很多事情都沒有什麼秘密可言都公開透明那但是真正以商逼政以政逼商的不就是中共嗎那這件事情不知道院長同不同意兩岸之間存在的問題就是 |
| transcript.whisperx[2].start |
54.591 |
| transcript.whisperx[2].end |
71.097 |
| transcript.whisperx[2].text |
中國方面一直用政治的條件來加注在我國政府頭上而且也不跟我方的公家的單位進行正面的協商所以他會繞道而行那繞道而行他必須找到一個可以跟他配合的 |
| transcript.whisperx[3].start |
71.657 |
| transcript.whisperx[3].end |
97.379 |
| transcript.whisperx[3].text |
這個就是過去的例子那我們希望未來雙方要健康有序的交流互相對等尊嚴所以這種交流的態度跟誠意能夠放出來時機成熟了我方也願意主動來做更多的善意的努力像旅遊啊兩岸的這個農漁產品以及食品還有很多的觀光自由行等等我方可以掌控所有我們的 |
| transcript.whisperx[4].start |
98.3 |
| transcript.whisperx[4].end |
104.45 |
| transcript.whisperx[4].text |
要不要啟動的資料跟時間對方也應該這樣子雙方有長期穩定合作的誠意 |
| transcript.whisperx[5].start |
105.08 |
| transcript.whisperx[5].end |
127.997 |
| transcript.whisperx[5].text |
我有看到卓院長今天早上受訪的時候有提到所謂的三條件三原則政府對政府這部分我也非常的支持我相信政府絕對是希望產業發展的越好對不對那但是從過去的這個鳳梨釋迦跟石斑魚的經驗我想民間產業看到的是機會那我相信 |
| transcript.whisperx[6].start |
128.437 |
| transcript.whisperx[6].end |
153.973 |
| transcript.whisperx[6].text |
政府就是也會看到風險那我希望政府也能夠承諾在發展的同時一定要幫忙繫上安全帶這個部分應該是可以協助我們從監督的角度希望從機會到風險那民間可能看到的機會那我們絕對是要提醒風險特別是協助繫上安全帶這部分院長應該是可以答應 |
| transcript.whisperx[7].start |
154.761 |
| transcript.whisperx[7].end |
172.312 |
| transcript.whisperx[7].text |
是 政府就是保護每個國人的基本安全那到哪個國家去旅遊我們甚至要考慮到說該地區的安定治安等等我們會做很多的建議所以幫每個國人保護好是政府應該有的責任好 謝謝卓院長那其實今天我很關心總預算 |
| transcript.whisperx[8].start |
173.072 |
| transcript.whisperx[8].end |
196.744 |
| transcript.whisperx[8].text |
那我有看到卓院長提到早上的時候有講兩點第一個當然是希望進速審查嘛因為已經延宕了235天我算了一下235天已經快8個月了超過7個月因為去年8月就送進來那所幸終於要覆為審查那但是呢我想從 |
| transcript.whisperx[9].start |
198.425 |
| transcript.whisperx[9].end |
218.363 |
| transcript.whisperx[9].text |
去年8月送進來的時候到現在那關稅談判中間也經歷過很多美國內部的一個變動那今年2月又爆發中東戰事那到近期當然習政會可能跟預算的關係比較少可是也都是各種相關的變動那以美國關稅談判為例 |
| transcript.whisperx[10].start |
220.405 |
| transcript.whisperx[10].end |
248.876 |
| transcript.whisperx[10].text |
去年我們就通過了因應國際情勢的這個任性特別條例經濟部編列461億支持產業的四大措施那中東戰事我想國人都很憂心包含政院其實不斷的在處理那我覺得以我自己看到的亞洲國家的經驗我們台灣就是我們的行政院是處理得非常好就物價的平穩 |
| transcript.whisperx[11].start |
249.796 |
| transcript.whisperx[11].end |
272.145 |
| transcript.whisperx[11].text |
還有油價然後各方面能源的多元化可以跟卓院長分享我之前去菲律賓開會菲律賓的政府所有的公務員已經規定一個禮拜有一天在家工作因為油不夠了然後油價飆漲所以我們的啞鈴最低價那真的對物價的平穩 |
| transcript.whisperx[12].start |
272.845 |
| transcript.whisperx[12].end |
301.534 |
| transcript.whisperx[12].text |
包含行政院的處理是相當好包含我這邊查到的我們也啟動就是醫材的國產國用打造韌性的醫療國家隊還有各種塑膠袋讓大家都能夠不用擔心我看到國營事業四大工會台電 台灣石油然後自來水企業工會 台塘工會他提到請立院支持台電的預算 |
| transcript.whisperx[13].start |
302.634 |
| transcript.whisperx[13].end |
328.033 |
| transcript.whisperx[13].text |
那這部分那我也看到主計長有說盤點需求需要將近1300億那您這邊講的是特別預算所以我想這個中東的情勢跟剛剛講從這已經過8個月前編的預算那想請問院長那您覺得這個總預算是不是有相關調整的需要因為我們今年已經過了 |
| transcript.whisperx[14].start |
329.054 |
| transcript.whisperx[14].end |
352.361 |
| transcript.whisperx[14].text |
三分之一了那個預算當時不知道有中東的這個情勢的變化也並不知道關稅還有這麼多的波折因為美國內部的內政的議題那不知道院長我看您早上有講希望寬烈那可不可以說明一下是因為哪些原因以我看到的這些幾個公會提的需求我覺得都應該正面回應 |
| transcript.whisperx[15].start |
353.1 |
| transcript.whisperx[15].end |
381.308 |
| transcript.whisperx[15].text |
好的 感謝委員去年為例 美國關稅的調整我們已經編了5300億的特別預算這個還只是關稅秩序的調整不像這次的中東情勢它是整個 是個生產設施的破壞以及交通 能源交通運輸航線的整個停頓所以影響之大現在也無法預估那麼去年我們在編今年的總預算的時候並沒有把這些評估在內所以我們今年 |
| transcript.whisperx[16].start |
382.685 |
| transcript.whisperx[16].end |
395.815 |
| transcript.whisperx[16].text |
是有可能要增加哪些預算去年是不知道的所以我希望立法院在審查今年總預算的時候足下的預算能夠予以寬列讓我們有足夠的資歷財力能夠來處理今年 |
| transcript.whisperx[17].start |
398.12 |
| transcript.whisperx[17].end |
420.761 |
| transcript.whisperx[17].text |
比較發生多的事情但這個都在今年的有計畫的項目當中那超出很多是現在無法預估的像我們做了很多保護國人跟僑民的安全外交部做了很多工作我們做了很多穩定能源供應的問題台電 中油吸收了很多很多的錢我們做了很多穩定物價的功能我們也啟動了聯合稽查 |
| transcript.whisperx[18].start |
422.442 |
| transcript.whisperx[18].end |
438.016 |
| transcript.whisperx[18].text |
對這不法的份子這個行為聯合行為加以查緝我們也做了很多穩定市場秩序到各地看看各市場的物價是否能夠安穩下來我們也在金融跟股市方面你看雖然股市是不斷的好但是要 |
| transcript.whisperx[19].start |
438.877 |
| transcript.whisperx[19].end |
452.431 |
| transcript.whisperx[19].text |
長期的一個關注另外中央地方也做了相當大的一個狀況所以這些個問題加起來今年是無法預估在原來的計畫當中我們所編的預算是否完全足夠應用甚至在計畫外的 |
| transcript.whisperx[20].start |
454.313 |
| transcript.whisperx[20].end |
473.843 |
| transcript.whisperx[20].text |
應該有更多的超出計畫之外的像台電 像中油中油吸收100多億台電也吸收LNG的這個漲幅也相當多那目前我們又想對這些大宗運輸的從業人員來做一些實質上的支持那這個都應該在預算當中 |
| transcript.whisperx[21].start |
476.488 |
| transcript.whisperx[21].end |
493.663 |
| transcript.whisperx[21].text |
還在請主席總書算能不能從現有的預算把它匡列出來如果不能的話我們必須要做其他的努力所以已經如此了那麼今年的預算如果還大幅的刪減那不是雪上加霜嗎那我們的力道更小了 |
| transcript.whisperx[22].start |
494.324 |
| transcript.whisperx[22].end |
520.807 |
| transcript.whisperx[22].text |
那我們有可能要追加的項目額度又會大增起來所以還是再一次的懇請立法院在今年這樣審查預算的工作當中國際情勢如此國家面對這樣的處境我們處理的整個平穩措施不敢講最好但其實已經比鄰近國家安定許多我們會持續下去而且會擴大那希望我們有足夠的預算能夠來支持這幾項的措施 |
| transcript.whisperx[23].start |
521.619 |
| transcript.whisperx[23].end |
545.94 |
| transcript.whisperx[23].text |
我想請問卓院長我非常支持您講的但是我們的藍白很多立委尤其是很多新立委可能連寬烈這兩個字都不一定聽得懂他們常常就是又要馬兒跑又不讓馬兒吃足夠的草譬如說到時候波博又不支持然後也繼續再向過去無差別的煽動的話會造成什麼影響 |
| transcript.whisperx[24].start |
548.072 |
| transcript.whisperx[24].end |
566.006 |
| transcript.whisperx[24].text |
我當然不希望這樣子的事情發生讓我們每個部會必須要很拮据的來應用現在編列的預算大幅刪減之後應付去年在編列預算當時想像的狀況已經不足了更何況對於今年所多發生的這些事情那這個我們會把它統編起來至於 |
| transcript.whisperx[25].start |
568.686 |
| transcript.whisperx[25].end |
590.206 |
| transcript.whisperx[25].text |
主計總署所提出的那個是各部會依照長期的規劃提出的一千兩百九十幾億的預算那是比較長期的規劃我們真的要進入到這個程度的時候我們會在何時精算我們絕對不浪費我常常要求我們的內閣我們的部會首長當用才可用該省就必須省 |
| transcript.whisperx[26].start |
591.678 |
| transcript.whisperx[26].end |
615.827 |
| transcript.whisperx[26].text |
不知道院長有沒有聽說我們立法院就是政黨協商的時候民眾黨又提出原本的協商是要說他們要延會到7月底結果協商的時候提出來就直接延到8月底我們將會成為不只是民主國家會期最長的甚至是全年無休 |
| transcript.whisperx[27].start |
616.767 |
| transcript.whisperx[27].end |
643.05 |
| transcript.whisperx[27].text |
因為8月底之後接著9月1號又是新會期嘛那我不知道對行政院會不會有什麼影響對我們立委來講可能就沒有辦法好好規劃國會外交那助理也沒有辦法好好的就研議法案那區域委員可能就沒有完整的時間可以回到地方等等但是我想跟院長詢問一下因為他們其中的一個理由說要好好審人事 |
| transcript.whisperx[28].start |
643.991 |
| transcript.whisperx[28].end |
672.543 |
| transcript.whisperx[28].text |
那當然我今天看到新聞院長就是會說到今天會補題那個中選會的三位上次被藍白無差別砍掉的三個候選人那可以請問一下院長您這次提名的方向是什麼那如何因應萬一藍白又無差別的就是不看專業只要是他認為是民進黨提的然後就無差別刪掉 |
| transcript.whisperx[29].start |
673.722 |
| transcript.whisperx[29].end |
702.982 |
| transcript.whisperx[29].text |
我先說一下就是關於大院裡面的議程如何延續行政院是沒有意見不可以置會的但是休會的期間委員可以進行國會外交但是休會的期間我們的內閣首長是要進行更多的政策討論跟正確的研究不用被綁在立法院後備詢這樣綁這個字我不敢講但是我們會花比較多的時間在這裡就少掉了一些靜下來思考政策的問題所以我希望說這個還是讓他有一個自然的生態 |
| transcript.whisperx[30].start |
703.662 |
| transcript.whisperx[30].end |
727.876 |
| transcript.whisperx[30].text |
那麼至於說中選會的人員我們也知道中選會它是一個獨立機關必須讓它馬上迅速的恢復正常的運作因應年底即將到了這個大選所以這張情況底下已經通過的四位委員雖然過程當中我仍然有一些心中真的有一些我的感覺但是我會今天就會任命立刻安排交接 |
| transcript.whisperx[31].start |
729.679 |
| transcript.whisperx[31].end |
756.945 |
| transcript.whisperx[31].text |
至於其他應該還要再補三位因為中選會的組織法裡面規定是九到十一位委員原來的四位再加上新的任命四位也八位而已難免有瑕疵我希望再補三位這三位第一個原則我們還是秉持這個中選會獨立機關的性質我們找出沒有黨籍背景的人來我們有法律的背景我們有這個長年公務人員系統的背景 |
| transcript.whisperx[32].start |
758.383 |
| transcript.whisperx[32].end |
776.702 |
| transcript.whisperx[32].text |
那這樣來我覺得對中選會的人事的安排是足以來因應未來升任所有的工作的所以提出來之後我也會今天把三位這個同意權人的名單一併送出那請大院能夠迅速的來排定審查跟行使同意權的日期 |
| transcript.whisperx[33].start |
777.455 |
| transcript.whisperx[33].end |
800.717 |
| transcript.whisperx[33].text |
那聽起來這三位是完全沒有黨派背景有些有法律的專業各方面的背景都絕對能夠升任中選會的委員而且還有一位女性非常好 三分之一的女性那我們也希望這次藍白不要再無差別讓中選會無法運作然後又回過頭來質疑就是行政院長不趕快提 |
| transcript.whisperx[34].start |
802.278 |
| transcript.whisperx[34].end |
816.407 |
| transcript.whisperx[34].text |
當然這次他們研會的理由還有一個原因說要好好審總預算雖然我現場質疑說總預算已經今年都過了三分之一了難道你要審到8月底嗎但他們拒絕回答這個問題我看到媒體 |
| transcript.whisperx[35].start |
819.029 |
| transcript.whisperx[35].end |
831.963 |
| transcript.whisperx[35].text |
說他要刪減煤宣費我想請院長講一下你希望今年度的總預算什麼時候審完最合理要拖到8月底嗎那萬一他們又大刪煤宣費對你們的影響會是什麼 |
| transcript.whisperx[36].start |
833.63 |
| transcript.whisperx[36].end |
861.467 |
| transcript.whisperx[36].text |
我還是懇求能夠盡快的審完審完之後所有的正事都能夠順利如常的進行那沒宣費是這樣子我剛剛也答覆過其他的委員政府推動太多的事情我們經濟高度的發展我們科技產業急速的跟國外做各種的連結我們的產業是全面在振興當中我們很多政策必須向產業界跟國人來做說明的況且你看從去年的例子跟今年 |
| transcript.whisperx[37].start |
861.887 |
| transcript.whisperx[37].end |
880.158 |
| transcript.whisperx[37].text |
我們從關稅以及中東情勢我們做了很多產業的支持即使要告訴產業界你可以透過什麼樣的措施來協助你的產業這個都要很多很多的宣傳的過程報告的過程那這個只是其中的一部分像日常我們現在媒體很多對某一些事情如果他報導的 |
| transcript.whisperx[38].start |
881.556 |
| transcript.whisperx[38].end |
907.419 |
| transcript.whisperx[38].text |
不到我百分之百正確的時候我們必須及時來做說明像剛剛說到馬鈴薯的部分我再強調任何發芽腐爛的有毒的絕對不可能進入到台灣市場美國方面有發芽有土壤的也不會從美國出來所以我們檢驗的標準是不變的那一旦到我們這裡之後發現它裡面有一顆有發芽的這整顆是丟棄的那整櫃的車子 |
| transcript.whisperx[39].start |
908.973 |
| transcript.whisperx[39].end |
929.998 |
| transcript.whisperx[39].text |
整櫃裡面的量我們是逐一來檢查的所以我們檢查的量是提高的所以這個部分我們希望媒體如果正確的報導人民就會得到比較心安但如果這個報導沒有辦法真實的呈現的時候那我們當然必須透過很多的方式來向人民說明清楚所以沒宣費用我們是用在這種好 謝謝 |
| transcript.whisperx[40].start |
946.478 |
| transcript.whisperx[40].end |
948.04 |
| transcript.whisperx[40].text |
好 謝謝范委員 謝謝 |