iVOD / 159011

Field Value
IVOD_ID 159011
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159011
日期 2025-03-11
會議資料.會議代碼 全院委員會-11-3-2
會議資料.會議代碼:str 第11屆第3會期第2次全院委員會會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 2
會議資料.種類 全院委員會
會議資料.標題 第11屆第3會期第2次全院委員會會議
影片種類 Clip
開始時間 2025-03-11T11:08:37+08:00
結束時間 2025-03-11T11:24:09+08:00
影片長度 00:15:32
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a37056a99b6ff728b934af9bcc836fb731125bfab2e25e257baf9d4aee1cbbae938357d8e0506d445ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王定宇
委員發言時間 11:08:37 - 11:24:09
會議時間 2025-03-11T09:00:00+08:00
會議名稱 第11屆第3會期第2次全院委員會會議(事由:一、「中華民國114年度中央政府總預算案」覆議案(3月11日)。二、「財政收支劃分法」第八條、第十六條之一及第三十條條文覆議案(3月12日)。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 8.18159375
transcript.pyannote[0].end 11.30346875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 11.84346875
transcript.pyannote[1].end 14.45909375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 21.41159375
transcript.pyannote[2].end 22.45784375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 22.99784375
transcript.pyannote[3].end 26.98034375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 27.92534375
transcript.pyannote[4].end 38.99534375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 39.70409375
transcript.pyannote[5].end 41.25659375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 42.60659375
transcript.pyannote[6].end 45.81284375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 46.31909375
transcript.pyannote[7].end 52.93409375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 54.18284375
transcript.pyannote[8].end 54.77346875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 55.93784375
transcript.pyannote[9].end 59.00909375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 59.51534375
transcript.pyannote[10].end 62.43471875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 62.72159375
transcript.pyannote[11].end 66.16409375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 66.83909375
transcript.pyannote[12].end 68.29034375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 68.44221875
transcript.pyannote[13].end 69.64034375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 69.82596875
transcript.pyannote[14].end 70.93971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 72.15471875
transcript.pyannote[15].end 73.70721875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 74.31471875
transcript.pyannote[16].end 79.74846875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 79.98471875
transcript.pyannote[17].end 80.32221875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 80.32221875
transcript.pyannote[18].end 86.97096875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 87.73034375
transcript.pyannote[19].end 89.19846875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 89.62034375
transcript.pyannote[20].end 91.00409375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 91.56096875
transcript.pyannote[21].end 93.01221875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 93.24846875
transcript.pyannote[22].end 94.29471875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 94.83471875
transcript.pyannote[23].end 96.91034375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 97.11284375
transcript.pyannote[24].end 101.48346875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 98.29409375
transcript.pyannote[25].end 98.93534375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 99.30659375
transcript.pyannote[26].end 99.67784375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 101.71971875
transcript.pyannote[27].end 104.62221875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 105.16221875
transcript.pyannote[28].end 119.77596875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 118.91534375
transcript.pyannote[29].end 122.71221875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 122.67846875
transcript.pyannote[30].end 123.18471875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 122.79659375
transcript.pyannote[31].end 130.86284375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 131.67284375
transcript.pyannote[32].end 132.93846875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 133.47846875
transcript.pyannote[33].end 137.20784375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 137.68034375
transcript.pyannote[34].end 138.27096875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 139.06409375
transcript.pyannote[35].end 142.55721875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 143.02971875
transcript.pyannote[36].end 145.89846875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 146.06721875
transcript.pyannote[37].end 149.15534375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 149.66159375
transcript.pyannote[38].end 151.12971875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 151.65284375
transcript.pyannote[39].end 153.44159375
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 153.44159375
transcript.pyannote[40].end 153.45846875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 154.52159375
transcript.pyannote[41].end 155.46659375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 156.39471875
transcript.pyannote[42].end 173.15159375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 167.54909375
transcript.pyannote[43].end 170.48534375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 172.89846875
transcript.pyannote[44].end 178.65284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 178.88909375
transcript.pyannote[45].end 201.73784375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 201.97409375
transcript.pyannote[46].end 208.36971875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 208.69034375
transcript.pyannote[47].end 228.51846875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 229.37909375
transcript.pyannote[48].end 230.00346875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 230.62784375
transcript.pyannote[49].end 231.58971875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 231.58971875
transcript.pyannote[50].end 233.91846875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 233.20971875
transcript.pyannote[51].end 235.16721875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 235.45409375
transcript.pyannote[52].end 244.00971875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 245.05596875
transcript.pyannote[53].end 263.02784375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 259.21409375
transcript.pyannote[54].end 262.04909375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 263.02784375
transcript.pyannote[55].end 266.43659375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 267.24659375
transcript.pyannote[56].end 269.38971875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 269.96346875
transcript.pyannote[57].end 273.20346875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 273.55784375
transcript.pyannote[58].end 275.22846875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 275.73471875
transcript.pyannote[59].end 279.73409375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 281.06721875
transcript.pyannote[60].end 283.54784375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 284.34096875
transcript.pyannote[61].end 287.24346875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 287.83409375
transcript.pyannote[62].end 289.08284375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 289.47096875
transcript.pyannote[63].end 291.90096875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 293.68971875
transcript.pyannote[64].end 296.86221875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 297.84096875
transcript.pyannote[65].end 298.66784375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 299.10659375
transcript.pyannote[66].end 299.76471875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 299.95034375
transcript.pyannote[67].end 303.91596875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 304.64159375
transcript.pyannote[68].end 305.45159375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 305.75534375
transcript.pyannote[69].end 306.66659375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 307.74659375
transcript.pyannote[70].end 311.50971875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 311.96534375
transcript.pyannote[71].end 318.51284375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 319.13721875
transcript.pyannote[72].end 319.99784375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 320.26784375
transcript.pyannote[73].end 321.39846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 321.60096875
transcript.pyannote[74].end 322.05659375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 322.76534375
transcript.pyannote[75].end 324.23346875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 324.70596875
transcript.pyannote[76].end 325.60034375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 326.44409375
transcript.pyannote[77].end 327.99659375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 328.19909375
transcript.pyannote[78].end 330.12284375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 330.59534375
transcript.pyannote[79].end 331.87784375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 331.99596875
transcript.pyannote[80].end 332.65409375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 333.26159375
transcript.pyannote[81].end 333.85221875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 334.37534375
transcript.pyannote[82].end 335.92784375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 336.38346875
transcript.pyannote[83].end 337.95284375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 338.30721875
transcript.pyannote[84].end 339.82596875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 339.97784375
transcript.pyannote[85].end 340.38284375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 340.11284375
transcript.pyannote[86].end 340.29846875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 340.58534375
transcript.pyannote[87].end 346.37346875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 346.99784375
transcript.pyannote[88].end 349.17471875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 349.54596875
transcript.pyannote[89].end 351.11534375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 351.48659375
transcript.pyannote[90].end 353.56221875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 353.88284375
transcript.pyannote[91].end 358.84409375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 359.40096875
transcript.pyannote[92].end 363.90659375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 363.99096875
transcript.pyannote[93].end 364.51409375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 365.07096875
transcript.pyannote[94].end 366.11721875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 366.33659375
transcript.pyannote[95].end 368.59784375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 368.78346875
transcript.pyannote[96].end 394.61909375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 393.77534375
transcript.pyannote[97].end 395.24346875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 395.24346875
transcript.pyannote[98].end 411.13971875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 395.29409375
transcript.pyannote[99].end 395.78346875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 409.80659375
transcript.pyannote[100].end 410.90346875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 411.29159375
transcript.pyannote[101].end 413.62034375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 414.36284375
transcript.pyannote[102].end 423.67784375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 424.21784375
transcript.pyannote[103].end 426.64784375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 426.90096875
transcript.pyannote[104].end 433.70159375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 434.25846875
transcript.pyannote[105].end 436.04721875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 436.51971875
transcript.pyannote[106].end 438.44346875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 439.79346875
transcript.pyannote[107].end 441.22784375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 441.81846875
transcript.pyannote[108].end 443.92784375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 444.51846875
transcript.pyannote[109].end 447.84284375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 448.06221875
transcript.pyannote[110].end 449.05784375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 449.44596875
transcript.pyannote[111].end 452.77034375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 453.07409375
transcript.pyannote[112].end 458.38971875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 453.63096875
transcript.pyannote[113].end 453.64784375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 453.64784375
transcript.pyannote[114].end 453.96846875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 453.96846875
transcript.pyannote[115].end 454.03596875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 454.03596875
transcript.pyannote[116].end 454.76159375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 454.76159375
transcript.pyannote[117].end 454.82909375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 456.60096875
transcript.pyannote[118].end 457.20846875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 458.62596875
transcript.pyannote[119].end 460.58346875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 461.30909375
transcript.pyannote[120].end 462.01784375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 462.40596875
transcript.pyannote[121].end 464.97096875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 464.97096875
transcript.pyannote[122].end 465.07221875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 465.07221875
transcript.pyannote[123].end 465.27471875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 465.27471875
transcript.pyannote[124].end 467.89034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 467.89034375
transcript.pyannote[125].end 467.92409375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 467.92409375
transcript.pyannote[126].end 468.09284375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 469.13909375
transcript.pyannote[127].end 469.98284375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 470.96159375
transcript.pyannote[128].end 472.73346875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 473.07096875
transcript.pyannote[129].end 478.97721875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 479.98971875
transcript.pyannote[130].end 481.39034375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 482.52096875
transcript.pyannote[131].end 483.78659375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 485.65971875
transcript.pyannote[132].end 487.31346875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 487.81971875
transcript.pyannote[133].end 490.01346875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 491.22846875
transcript.pyannote[134].end 493.05096875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 493.70909375
transcript.pyannote[135].end 505.30221875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 507.09096875
transcript.pyannote[136].end 507.93471875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 508.13721875
transcript.pyannote[137].end 510.39846875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 510.87096875
transcript.pyannote[138].end 512.59221875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 512.91284375
transcript.pyannote[139].end 519.86534375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 520.30409375
transcript.pyannote[140].end 532.04909375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 532.13346875
transcript.pyannote[141].end 535.06971875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 536.68971875
transcript.pyannote[142].end 537.63471875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 537.82034375
transcript.pyannote[143].end 540.73971875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 541.49909375
transcript.pyannote[144].end 542.88284375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 543.16971875
transcript.pyannote[145].end 546.47721875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 546.69659375
transcript.pyannote[146].end 555.03284375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 555.23534375
transcript.pyannote[147].end 559.18409375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 559.55534375
transcript.pyannote[148].end 563.36909375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 560.36534375
transcript.pyannote[149].end 561.12471875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 563.68971875
transcript.pyannote[150].end 565.25909375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 565.69784375
transcript.pyannote[151].end 565.73159375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 566.55846875
transcript.pyannote[152].end 568.04346875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 568.21221875
transcript.pyannote[153].end 569.39346875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 570.96284375
transcript.pyannote[154].end 578.75909375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 578.16846875
transcript.pyannote[155].end 586.13346875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 586.43721875
transcript.pyannote[156].end 588.29346875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 588.93471875
transcript.pyannote[157].end 590.23409375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 590.62221875
transcript.pyannote[158].end 602.08034375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 604.72971875
transcript.pyannote[159].end 605.38784375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 606.33284375
transcript.pyannote[160].end 607.34534375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 607.86846875
transcript.pyannote[161].end 609.30284375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 609.60659375
transcript.pyannote[162].end 611.02409375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 611.29409375
transcript.pyannote[163].end 611.96909375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 612.61034375
transcript.pyannote[164].end 614.24721875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 615.36096875
transcript.pyannote[165].end 615.98534375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 616.64346875
transcript.pyannote[166].end 618.70221875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 618.71909375
transcript.pyannote[167].end 626.22846875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 626.65034375
transcript.pyannote[168].end 641.85471875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 642.22596875
transcript.pyannote[169].end 644.08221875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 644.43659375
transcript.pyannote[170].end 651.37221875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 651.77721875
transcript.pyannote[171].end 661.42971875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 662.29034375
transcript.pyannote[172].end 681.78096875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 681.93284375
transcript.pyannote[173].end 684.48096875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 684.48096875
transcript.pyannote[174].end 685.86471875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 686.62409375
transcript.pyannote[175].end 686.64096875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 686.64096875
transcript.pyannote[176].end 689.89784375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 690.33659375
transcript.pyannote[177].end 693.00284375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 693.96471875
transcript.pyannote[178].end 695.17971875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 695.70284375
transcript.pyannote[179].end 696.51284375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 697.42409375
transcript.pyannote[180].end 700.69784375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 700.79909375
transcript.pyannote[181].end 710.06346875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 710.13096875
transcript.pyannote[182].end 712.32471875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 712.51034375
transcript.pyannote[183].end 717.55596875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 717.89346875
transcript.pyannote[184].end 724.59284375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 724.71096875
transcript.pyannote[185].end 738.17721875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 724.91346875
transcript.pyannote[186].end 726.19596875
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 738.46409375
transcript.pyannote[187].end 741.99096875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 740.70846875
transcript.pyannote[188].end 741.77159375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 742.42971875
transcript.pyannote[189].end 743.72909375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 744.55596875
transcript.pyannote[190].end 745.56846875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 745.78784375
transcript.pyannote[191].end 760.90784375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 761.73471875
transcript.pyannote[192].end 762.19034375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 763.27034375
transcript.pyannote[193].end 764.35034375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 764.80596875
transcript.pyannote[194].end 766.24034375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 766.54409375
transcript.pyannote[195].end 768.53534375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 769.48034375
transcript.pyannote[196].end 770.99909375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 771.58971875
transcript.pyannote[197].end 773.20971875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 773.47971875
transcript.pyannote[198].end 775.25159375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 775.70721875
transcript.pyannote[199].end 781.42784375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 782.30534375
transcript.pyannote[200].end 785.61284375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 786.03471875
transcript.pyannote[201].end 790.45596875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 791.21534375
transcript.pyannote[202].end 792.31221875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 792.81846875
transcript.pyannote[203].end 797.77971875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 798.10034375
transcript.pyannote[204].end 802.70721875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 803.60159375
transcript.pyannote[205].end 813.40596875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 813.69284375
transcript.pyannote[206].end 823.93596875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 824.30721875
transcript.pyannote[207].end 827.24346875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 829.04909375
transcript.pyannote[208].end 851.66159375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 851.77971875
transcript.pyannote[209].end 852.43784375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 852.50534375
transcript.pyannote[210].end 854.09159375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 854.98596875
transcript.pyannote[211].end 855.59346875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 855.74534375
transcript.pyannote[212].end 856.47096875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 857.34846875
transcript.pyannote[213].end 860.09909375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 860.79096875
transcript.pyannote[214].end 863.89596875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 864.06471875
transcript.pyannote[215].end 867.45659375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 867.89534375
transcript.pyannote[216].end 868.75596875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 868.99221875
transcript.pyannote[217].end 870.69659375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 871.00034375
transcript.pyannote[218].end 872.14784375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 872.31659375
transcript.pyannote[219].end 874.88159375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 875.16846875
transcript.pyannote[220].end 876.07971875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 876.48471875
transcript.pyannote[221].end 877.34534375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 877.76721875
transcript.pyannote[222].end 879.37034375
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 880.48409375
transcript.pyannote[223].end 882.67784375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 882.81284375
transcript.pyannote[224].end 884.11221875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 884.53409375
transcript.pyannote[225].end 885.95159375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 886.44096875
transcript.pyannote[226].end 887.06534375
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 887.72346875
transcript.pyannote[227].end 890.84534375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 889.19159375
transcript.pyannote[228].end 894.96284375
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 894.96284375
transcript.pyannote[229].end 895.28346875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 895.28346875
transcript.pyannote[230].end 925.21971875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 897.42659375
transcript.pyannote[231].end 897.96659375
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 930.21471875
transcript.pyannote[232].end 931.44659375
transcript.whisperx[0].start 8.606
transcript.whisperx[0].end 14.228
transcript.whisperx[0].text 謝謝副院長,麻煩我們院長還有國防部長請左院長還有國防部長備詢謝謝王委員,王委員好我想這一次
transcript.whisperx[1].start 28.001
transcript.whisperx[1].end 54.509
transcript.whisperx[1].text 立法院在總預算這樣子的處理方式是史無前例我們在場不分任何政黨我們從來沒有看到總預算審完到一個多月總預算審訊報告書寫不出來寫出來的竟然沒有數字然後對國家來講我們台灣每一個人都能夠在這一次藍白合作癱瘓政府運作當中找到自己受害的位置這個是
transcript.whisperx[2].start 55.981
transcript.whisperx[2].end 70.782
transcript.whisperx[2].text 坦白講這不是黨派的問題這已經是國家遇到的困境那本席今天就國防預算的部分他的傷害跟影響來就教於兩位那我們看一下在國防預算簡列的部分
transcript.whisperx[3].start 72.433
transcript.whisperx[3].end 88.491
transcript.whisperx[3].text 部長我們被檢列了84億4千多萬總共有15個案子是你可不可以概述一下這些檢列案對我們國防運作上還有對盟友之間有沒有產生什麼樣的影響我想
transcript.whisperx[4].start 89.707
transcript.whisperx[4].end 104.461
transcript.whisperx[4].text 我舉其中最關鍵的就是說因為他現在過去的這個統三之後他都可以我這邊有個表啦有一個科目自己可以調整那現在最重要的就是他現在有不得留用
transcript.whisperx[5].start 105.199
transcript.whisperx[5].end 128.36
transcript.whisperx[5].text 那這個不得留用其中有一個國外旅會跟出國教育訓練費用3減了15%也就是2.4億元這樣子的一個弧度它會影響到我們的新式武器裝備換裝所需要的我是覺得我們可以用讓民眾了解的狀況我們公務預算我們不含基金不含每年的特別預算的分攤我們編列了4760億
transcript.whisperx[6].start 132.098
transcript.whisperx[6].end 155.048
transcript.whisperx[6].text 檢列的部分軍事裝備及設施預算檢列51億3%這個會影響到我們武器系統建軍的規劃基建裝甲車等零附件的籌補這時候老舊裝備的換裝更新會受這個影響我們的軍人的步槍是不是在這裡面新式步槍
transcript.whisperx[7].start 156.488
transcript.whisperx[7].end 175.093
transcript.whisperx[7].text 是,我想這個部分我們事實上在之前提出給行政院就已經提出過了就如委員所講的,確實會無法滿足老舊裝備更新態度包括我們T112的步槍要換裝嘛那這些零附件的籌補是相當的重要另外一般事務費跟水電費,3減了16.7億
transcript.whisperx[8].start 179.875
transcript.whisperx[8].end 208.049
transcript.whisperx[8].text 這個對於不管是戰備訓練基本維持會有影響另外我們的戰備工程國外差旅費像國外差旅費整個三減掉兩億砍掉了15%這個影響到我們到國外的交流跟接裝我們從去年開始每年兩個聯兵營到美國受訓我們F16V開始要進行接裝部長可不可以就這個項目有關這一個出國的費用被減劣了兩億造成的傷害跟影響
transcript.whisperx[9].start 208.929
transcript.whisperx[9].end 229.759
transcript.whisperx[9].text 對,我覺得最主要就是說,因為有很多在野黨的委員一直說他這個刪的弧度沒有很大但是問題是除了剛剛院長報告有對很多機關有針對性的一個刪減之外就這個部分呢,他最重要他又加了四個字,就是不得留用也就是說
transcript.whisperx[10].start 233.222
transcript.whisperx[10].end 240.808
transcript.whisperx[10].text 我沒有辦法拿自行調整科目所以這樣子的話整個金額是高達2.4億元他這個高達2.4億元之後呢
transcript.whisperx[11].start 245.42
transcript.whisperx[11].end 263.78
transcript.whisperx[11].text 剛剛已經提到了新式的武器我們本來就一定要到美國去接裝訓練這個會有影響更重要的是我們赴國外協訓所需要的金額我們會有一定的要求我們現在一定要逐漸達到一定的規模跟涉及所需要的訓練這個影響很大
transcript.whisperx[12].start 267.304
transcript.whisperx[12].end 291.61
transcript.whisperx[12].text 我們不管海馬士我們要派人去受訓F16V新的相關的裝備要派人去受訓我們的聯兵營去受訓這個費用砍掉了還不能讓你留用也就是說沒有就是沒有啊那相對的盟友得到的訊息是你連接裝換裝訓練各方面你的錢都砍掉如果作為你的朋友我還要來幫你的忙
transcript.whisperx[13].start 293.749
transcript.whisperx[13].end 308.818
transcript.whisperx[13].text 台灣的事就是人家的事就台灣自己當作沒事這樣會出事喔我可能要跑快一點因為時間的關係剛才是三減的部分喔我們再看一下凍結的部分4760億的國防公務預算凍結有279案合計凍結899億4千萬元這大概史上最高了啦我們來看細項
transcript.whisperx[14].start 323.53
transcript.whisperx[14].end 344.599
transcript.whisperx[14].text 這個往前走那這一個預算的凍結裡面我特別注意到有一個是有關我們的油料我們的去彈藥的籌貨凍結了百分之三十嘛凍結了百分之三十所以這個部分是不是請部長或院長說明清楚就是說他看起來好像是業務費幫你凍結了三十趴
transcript.whisperx[15].start 347.06
transcript.whisperx[15].end 366.905
transcript.whisperx[15].text 我們現在國防部的運作是等到這70%用完了我們最後剩三個月再來解凍還是從現在開始我們就只能動之70%是不是部長請說明一下他應該有一個條件就是說要到達一定的我們的解凍條件才可以
transcript.whisperx[16].start 368.922
transcript.whisperx[16].end 387.531
transcript.whisperx[16].text 那另外就是說因為這個部分會涉及到這個整個作業為止就我們的零護艦各式彈藥訓練經費還有軍事投資包括陸軍的仁西式短程的防空飛彈高效能反彈藥飛彈攻擊的無人機海軍的輕型七代型巡防艦第二階段的原型艦的籌建
transcript.whisperx[17].start 388.411
transcript.whisperx[17].end 410.649
transcript.whisperx[17].text 康定級的系統的性能的升級還有空軍的新式高調機還有艾二性能我們拉法葉的升級也在這裡還有採購艾三還有高高空無人機等等那這些主要的問題是在過去都是委員會書面報告後就可以解凍那它現在百分之三十的業務費的部分是要到院會做報告之後我請教院長這個所謂院會在
transcript.whisperx[18].start 414.689
transcript.whisperx[18].end 438.019
transcript.whisperx[18].text 這個我只有凍結而已嘛你不夠的拿來嘛我們院會在解凍嘛我們如果在立法院代表院會一年開幾次這個解凍的困難度是不是請院長說明一下這次的凍結的金額雖然大院是沒有宣布我們自己把它調算出來整個決議案過程我們是算成1300多億啦但是其中很多到院會那我想金額是比以前多程序是比以前難
transcript.whisperx[19].start 441.872
transcript.whisperx[19].end 469.649
transcript.whisperx[19].text 那如果都到院會來解凍的話我剛剛已經報告過了過去98年到113年90%的案子 最後一件的解凍案都在11月或12月我想 國家容不得這樣的一個拖延所以我有一句話 山多少 國家的建設就撿多少解凍慢多久 國家的發展就慢多久其實到11月解凍 這預算等於沒有了啦你知道
transcript.whisperx[20].start 470.987
transcript.whisperx[20].end 483.253
transcript.whisperx[20].text 共軍燒了我們的ADIZ我們的空軍飛行員跑到頭五分鐘待命拉上去之後還要準備第二波就有料凍結30%但要凍結30%怎麼會這樣對自己國家的軍人呢中國增加軍費到八兆台幣
transcript.whisperx[21].start 491.277
transcript.whisperx[21].end 505.043
transcript.whisperx[21].text 今年度他們還增加7.2%就我們自己把30%彈藥 油料以及相關的船艦各方面都把它凍結起來而且解凍的條件如此之嚴苛我們再看一個例子下一個
transcript.whisperx[22].start 507.148
transcript.whisperx[22].end 533.153
transcript.whisperx[22].text 像民雄 我都不知道自己人哪裡得罪了藍白 我也不知道無人機的發展對我們的經貿產業鼓勵人剛從美國述職回來他去川普 他不用回去喔他是不用回華府報到卻被川普政府叫回去去了解美國政府現在最新對台政策回到台灣裡面有一項希望建立非紅無人機供應鏈結果我們無人機的園區被凍結50%
transcript.whisperx[23].start 538.156
transcript.whisperx[23].end 554.024
transcript.whisperx[23].text 這個在籌備階段給它凍結另外還有一個案子 下一個像我們相關的零附件保修凍結10%那個顧部長我們的保修跟零附件其實原來的預算就不太夠了現在要凍結10%對軍中產生什麼影響對 這個凍結10%高達76.4億元這個非常不利 76億 76億點4億元這個金額
transcript.whisperx[24].start 566.636
transcript.whisperx[24].end 587.816
transcript.whisperx[24].text 很明顯的就是說我們各型的機艦、戰甲、炮車等主要裝備都要進行維保跟妥善不然的話會影響整個部隊的戰演性任務你這個零附件裡面其實還包含了我們現在要提升國軍因為每一個軍人弟兄姊妹都是我們所珍惜的他的抗彈版在這裡面
transcript.whisperx[25].start 589.011
transcript.whisperx[25].end 602.139
transcript.whisperx[25].text 你也把它弄掉10%那這抗彈板面對共軍換磚6.8厘米的我們也在提升防護力所以這些東西是可以討論的需不需要該怎麼做現在沒有就把你通通凍起來我們再看下一個潛艦部長你好好說明一下我們的海昆號潛艦後續艦的籌劃的20億被凍結50%
transcript.whisperx[26].start 615.564
transcript.whisperx[26].end 643.029
transcript.whisperx[26].text 這一個我們潛艦要能夠造成功國外願意冒著中共制裁經濟制裁的風險提供相關的裝備跟技術協助這是很重要的我們自己國內的廠商的合作意願這是重要的我們過去幾年來在台船跟海軍訓練的專業人才能夠留下來這是重要的這個凍結50%就部長了解它產生什麼樣的負面影響跟委員報告
transcript.whisperx[27].start 645.421
transcript.whisperx[27].end 658.535
transcript.whisperx[27].text 這個潛艦預算主要是我們九月才能夠完成海上的測試那如果完成海上測試之後按照我之前的承諾就是說等海上測試以後我們就凍職可是它現在凍結之後要經過院會的專報
transcript.whisperx[28].start 662.349
transcript.whisperx[28].end 685.239
transcript.whisperx[28].text 院會的專報那如果沒有辦法排入院會的專報的話他就沒有辦法順利解凍那後續建的計畫的節點包括這個裝備合約會的繳付或者是國外政府的輸出許可降低廠商的合作意願流失這個一些造建的專業人才等等就會衝擊到後續建的一個建造他產生的影響
transcript.whisperx[29].start 687.067
transcript.whisperx[29].end 706.475
transcript.whisperx[29].text 有一個是往後延取得時間往後延還有一種可能性如果這些輸出許可沒有了搞不好後續間就沒有了有沒有這個風險如果我們沒有辦法順利解凍的話確實會有因為我們這個整個潛艦的這個水下的海
transcript.whisperx[30].start 707.583
transcript.whisperx[30].end 721.925
transcript.whisperx[30].text SAT的測試是要到下半年那下半年如果過了那我們希望馬上就順利解凍的話那當然就可以支應那這個這一個國外的廠商他會看到這樣子的一個解凍
transcript.whisperx[31].start 722.619
transcript.whisperx[31].end 722.779
transcript.whisperx[31].text 台灣遇到的威脅
transcript.whisperx[32].start 744.619
transcript.whisperx[32].end 767.785
transcript.whisperx[32].text 別人何必人家犯不著為了你冒風險如果你自己都不確定那我們不是說預算不該監督你就把它通過之後帶SAT通過我們來處理現在又綁定在院會其實困難度相當高我有一個總的統計數字那個各家算法不一樣但根據剛才我們國防部的公務預算
transcript.whisperx[33].start 769.48
transcript.whisperx[33].end 776.567
transcript.whisperx[33].text 編了4760億 簡列84億 凍結899億加起來的話 三家凍的比例高達20.67%這也就是為什麼美國軍事委員會在審查COBI也就是美國負責政策的副部長的聽證會
transcript.whisperx[34].start 791.26
transcript.whisperx[34].end 802.521
transcript.whisperx[34].text 不管是蘇利文或者其他的參議員他提出的關係而且他們這次點得很清楚甚至包含帕廷吉爾 博明來到立法院拜會的時候
transcript.whisperx[35].start 803.632
transcript.whisperx[35].end 827.037
transcript.whisperx[35].text 他這個是有授權說可以說出來的他也在關心說不要再講你動多少撿多少當你做了動作把台灣國家安全預算往下一壓釋放給在華府川普的新任官員只有得到一個印象你台灣根本不重視自己的安全你都不重視我為什麼對你的關心要超過你自己甚至於不排除有些人把他壓低
transcript.whisperx[36].start 829.124
transcript.whisperx[36].end 855.922
transcript.whisperx[36].text 是樂見於台灣人民被北京所管理這是很嚴重的訊號當時像Partinger也好或者Sullivan也好他用的是emergency他說這是一個緊急狀態台灣各界必須重視而Sullivan在聽證會的時候還特別說台灣有人看到他這一段聽證請轉述不要再玩這種危險的遊戲所以我最後這個問題要請教那個院長
transcript.whisperx[37].start 857.386
transcript.whisperx[37].end 879.197
transcript.whisperx[37].text 以現在總預算這樣遇到的狀況追加啊解凍啊這樣就可以改革啦你做院長的知識現在藍白提出的解決方案能解決這問題嗎如果真的誠心誠意讓國家按部就班的走向一個發展而且跟世界接軌的路就盡快的能夠讓預算如數的如期的執行
transcript.whisperx[38].start 880.56
transcript.whisperx[38].end 908.155
transcript.whisperx[38].text 追加或是用其他的方式都耗費時日如果能夠通過附議案重新協商再一次我想很短的時間就可以了你都知道應該要追加了你為什麼不把原始預算處理好嘛是你都講要追加了你就知道這有算有問題啊那這不是面子問題這國家跟人民的利益問題你都認為說你就辦追加嘛我幫你追加那你原始預算我們透過附議好好把它處理也就是
transcript.whisperx[39].start 908.855
transcript.whisperx[39].end 909.075
transcript.whisperx[39].text 謝謝王委員