iVOD / 166789

Field Value
IVOD_ID 166789
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/166789
日期 2026-01-05
會議資料.會議代碼 委員會-11-4-20-16
會議資料.會議代碼:str 第11屆第4會期財政委員會第16次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 16
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第4會期財政委員會第16次全體委員會議
影片種類 Clip
開始時間 2026-01-05T10:55:10+08:00
結束時間 2026-01-05T11:05:55+08:00
影片長度 00:10:45
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8c294bbfbc570b587fce7bdff1dc56f0eeb09d831e7021174a653833dddfd2f1f93a7319753701da5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 顏寬恒
委員發言時間 10:55:10 - 11:05:55
會議時間 2026-01-05T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政委員會第16次全體委員會議(事由:邀請行政院主計總處主計長陳淑姿、財政部部長莊翠雲、國防部副部長、海洋委員會副主任委員、海巡署副署長就「115年度中央政府總預算案至今尚未審查,對國家安全及地方建設的影響」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 1.81971875
transcript.pyannote[0].end 6.13971875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 6.96659375
transcript.pyannote[1].end 8.33346875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 13.71659375
transcript.pyannote[2].end 14.13846875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 14.71221875
transcript.pyannote[3].end 15.18471875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 15.25221875
transcript.pyannote[4].end 17.58096875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 16.46721875
transcript.pyannote[5].end 16.63596875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 16.92284375
transcript.pyannote[6].end 16.97346875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 18.64409375
transcript.pyannote[7].end 25.44471875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 25.90034375
transcript.pyannote[8].end 27.92534375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 28.43159375
transcript.pyannote[9].end 30.47346875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 30.89534375
transcript.pyannote[10].end 32.09346875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 32.53221875
transcript.pyannote[11].end 35.31659375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 35.80596875
transcript.pyannote[12].end 36.43034375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 36.75096875
transcript.pyannote[13].end 38.92784375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 39.45096875
transcript.pyannote[14].end 41.10471875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 41.62784375
transcript.pyannote[15].end 42.18471875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 43.16346875
transcript.pyannote[16].end 45.08721875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 45.49221875
transcript.pyannote[17].end 51.58409375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 51.97221875
transcript.pyannote[18].end 53.23784375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 53.27159375
transcript.pyannote[19].end 53.65971875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 53.79471875
transcript.pyannote[20].end 54.40221875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 54.79034375
transcript.pyannote[21].end 56.24159375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 56.47784375
transcript.pyannote[22].end 60.93284375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 61.64159375
transcript.pyannote[23].end 65.79284375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 65.96159375
transcript.pyannote[24].end 68.86409375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 69.43784375
transcript.pyannote[25].end 71.24346875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 71.91846875
transcript.pyannote[26].end 85.43534375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 86.75159375
transcript.pyannote[27].end 90.02534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 90.39659375
transcript.pyannote[28].end 92.43846875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 92.99534375
transcript.pyannote[29].end 95.40846875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 95.44221875
transcript.pyannote[30].end 96.70784375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 97.70346875
transcript.pyannote[31].end 99.03659375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 99.55971875
transcript.pyannote[32].end 101.51721875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 101.65221875
transcript.pyannote[33].end 103.15409375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 104.01471875
transcript.pyannote[34].end 108.19971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 108.52034375
transcript.pyannote[35].end 110.15721875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 110.81534375
transcript.pyannote[36].end 113.90346875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 114.46034375
transcript.pyannote[37].end 120.36659375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 120.53534375
transcript.pyannote[38].end 124.33221875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 124.51784375
transcript.pyannote[39].end 126.23909375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 126.40784375
transcript.pyannote[40].end 129.88409375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 130.18784375
transcript.pyannote[41].end 132.87096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 133.61346875
transcript.pyannote[42].end 134.42346875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 136.12784375
transcript.pyannote[43].end 168.66284375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 168.79784375
transcript.pyannote[44].end 175.27784375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 175.88534375
transcript.pyannote[45].end 183.56346875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 184.05284375
transcript.pyannote[46].end 186.48284375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 187.10721875
transcript.pyannote[47].end 187.78221875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 188.23784375
transcript.pyannote[48].end 193.55346875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 193.80659375
transcript.pyannote[49].end 198.59909375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 199.07159375
transcript.pyannote[50].end 200.38784375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 200.94471875
transcript.pyannote[51].end 202.58159375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 204.35346875
transcript.pyannote[52].end 215.96346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 216.33471875
transcript.pyannote[53].end 218.83221875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 219.23721875
transcript.pyannote[54].end 221.65034375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 222.40971875
transcript.pyannote[55].end 230.30721875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 231.28596875
transcript.pyannote[56].end 231.91034375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 232.51784375
transcript.pyannote[57].end 233.98596875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 234.42471875
transcript.pyannote[58].end 234.71159375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 235.18409375
transcript.pyannote[59].end 242.13659375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 242.96346875
transcript.pyannote[60].end 243.97596875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 244.21221875
transcript.pyannote[61].end 244.63409375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 245.64659375
transcript.pyannote[62].end 248.71784375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 247.50284375
transcript.pyannote[63].end 248.53221875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 248.76846875
transcript.pyannote[64].end 249.13971875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 249.46034375
transcript.pyannote[65].end 250.74284375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 250.74284375
transcript.pyannote[66].end 256.83471875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 256.83471875
transcript.pyannote[67].end 262.21784375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 262.89284375
transcript.pyannote[68].end 264.98534375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 265.03596875
transcript.pyannote[69].end 265.06971875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 265.08659375
transcript.pyannote[70].end 266.16659375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 266.48721875
transcript.pyannote[71].end 270.21659375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 270.46971875
transcript.pyannote[72].end 270.85784375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 271.63409375
transcript.pyannote[73].end 273.11909375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 273.59159375
transcript.pyannote[74].end 280.88159375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 281.55659375
transcript.pyannote[75].end 283.83471875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 284.47596875
transcript.pyannote[76].end 285.30284375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 285.64034375
transcript.pyannote[77].end 286.60221875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 287.00721875
transcript.pyannote[78].end 290.34846875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 290.53409375
transcript.pyannote[79].end 293.53784375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 294.29721875
transcript.pyannote[80].end 295.83284375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 296.47409375
transcript.pyannote[81].end 297.62159375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 297.90846875
transcript.pyannote[82].end 301.09784375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 301.58721875
transcript.pyannote[83].end 302.07659375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 302.80221875
transcript.pyannote[84].end 303.05534375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 303.47721875
transcript.pyannote[85].end 304.06784375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 304.57409375
transcript.pyannote[86].end 305.26596875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 306.31221875
transcript.pyannote[87].end 307.37534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 307.91534375
transcript.pyannote[88].end 311.44221875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 311.79659375
transcript.pyannote[89].end 313.48409375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 313.80471875
transcript.pyannote[90].end 321.04409375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 321.31409375
transcript.pyannote[91].end 324.94221875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 325.58346875
transcript.pyannote[92].end 328.57034375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 329.02596875
transcript.pyannote[93].end 332.01284375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 332.95784375
transcript.pyannote[94].end 334.05471875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 334.17284375
transcript.pyannote[95].end 344.02784375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 334.20659375
transcript.pyannote[96].end 334.79721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 342.76221875
transcript.pyannote[97].end 342.81284375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 343.69034375
transcript.pyannote[98].end 343.96034375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 344.02784375
transcript.pyannote[99].end 344.61846875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 344.97284375
transcript.pyannote[100].end 349.61346875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 350.64284375
transcript.pyannote[101].end 352.53284375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 353.41034375
transcript.pyannote[102].end 361.08846875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 361.84784375
transcript.pyannote[103].end 364.24409375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 364.64909375
transcript.pyannote[104].end 366.50534375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 367.31534375
transcript.pyannote[105].end 369.54284375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 369.66096875
transcript.pyannote[106].end 372.25971875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 372.64784375
transcript.pyannote[107].end 373.74471875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 374.43659375
transcript.pyannote[108].end 379.07721875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 379.49909375
transcript.pyannote[109].end 383.54909375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 383.58284375
transcript.pyannote[110].end 384.93284375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 385.30409375
transcript.pyannote[111].end 389.64096875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 390.63659375
transcript.pyannote[112].end 391.58159375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 392.05409375
transcript.pyannote[113].end 393.97784375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 394.24784375
transcript.pyannote[114].end 396.66096875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 396.96471875
transcript.pyannote[115].end 397.94346875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 399.05721875
transcript.pyannote[116].end 404.91284375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 405.26721875
transcript.pyannote[117].end 407.44409375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 407.84909375
transcript.pyannote[118].end 411.07221875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 411.52784375
transcript.pyannote[119].end 413.23221875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 413.62034375
transcript.pyannote[120].end 414.12659375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 414.83534375
transcript.pyannote[121].end 421.63596875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 421.95659375
transcript.pyannote[122].end 425.77034375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 425.83784375
transcript.pyannote[123].end 427.30596875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 427.42409375
transcript.pyannote[124].end 429.16221875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 431.05221875
transcript.pyannote[125].end 435.22034375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 435.22034375
transcript.pyannote[126].end 437.19471875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 438.46034375
transcript.pyannote[127].end 440.87346875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 441.56534375
transcript.pyannote[128].end 451.65659375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 452.07846875
transcript.pyannote[129].end 453.44534375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 453.64784375
transcript.pyannote[130].end 456.33096875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 457.49534375
transcript.pyannote[131].end 458.27159375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 458.87909375
transcript.pyannote[132].end 460.09409375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 461.71409375
transcript.pyannote[133].end 463.60409375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 463.85721875
transcript.pyannote[134].end 466.59096875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 468.27846875
transcript.pyannote[135].end 479.66909375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 478.97721875
transcript.pyannote[136].end 481.12034375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 479.82096875
transcript.pyannote[137].end 485.47409375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 485.77784375
transcript.pyannote[138].end 486.28409375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 486.35159375
transcript.pyannote[139].end 488.25846875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 488.49471875
transcript.pyannote[140].end 493.06784375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 493.82721875
transcript.pyannote[141].end 505.18409375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 506.92221875
transcript.pyannote[142].end 508.91346875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 509.18346875
transcript.pyannote[143].end 510.34784375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 516.84471875
transcript.pyannote[144].end 517.50284375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 517.68846875
transcript.pyannote[145].end 528.85971875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 528.89346875
transcript.pyannote[146].end 549.83534375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 551.03346875
transcript.pyannote[147].end 555.15096875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 555.87659375
transcript.pyannote[148].end 562.45784375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 562.87971875
transcript.pyannote[149].end 563.53784375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 563.97659375
transcript.pyannote[150].end 565.42784375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 565.78221875
transcript.pyannote[151].end 566.15346875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 566.27159375
transcript.pyannote[152].end 566.94659375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 568.07721875
transcript.pyannote[153].end 569.95034375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 570.33846875
transcript.pyannote[154].end 570.84471875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 571.65471875
transcript.pyannote[155].end 576.97034375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 577.07159375
transcript.pyannote[156].end 600.59534375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 595.56659375
transcript.pyannote[157].end 595.61721875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 597.72659375
transcript.pyannote[158].end 598.62096875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 599.75159375
transcript.pyannote[159].end 602.31659375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 601.03409375
transcript.pyannote[160].end 607.29471875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 605.43846875
transcript.pyannote[161].end 611.51346875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 610.29846875
transcript.pyannote[162].end 613.23471875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 611.86784375
transcript.pyannote[163].end 616.17096875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 615.24284375
transcript.pyannote[164].end 617.40284375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 616.89659375
transcript.pyannote[165].end 626.17784375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 626.39721875
transcript.pyannote[166].end 631.94909375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 631.94909375
transcript.pyannote[167].end 633.33284375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 632.80971875
transcript.pyannote[168].end 634.15971875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 638.51346875
transcript.pyannote[169].end 642.73221875
transcript.whisperx[0].start 2.057
transcript.whisperx[0].end 8.319
transcript.whisperx[0].text 主席各位列席官員大家好 主席有請國防部徐副部長我們請徐副部長副院長好徐副部長你好今天的專報其實我們在上一次會議我就已經說過了這個只要行政院如實編列軍人加薪的預算總預算就可以馬上附為審查
transcript.whisperx[1].start 30.919
transcript.whisperx[1].end 55.721
transcript.whisperx[1].text 奈何就是遲遲不編那剛剛其他委員也有問是國防部自己不編還是行政院不准所以是國防部自己不編所以你身為國防部的副部長結果連自己都不挺我們的國防弟兄把國軍放在心上這每個人都在講但是沒有人在做所以我知道你是外交常財
transcript.whisperx[2].start 56.542
transcript.whisperx[2].end 84.802
transcript.whisperx[2].text 那代表我國出席過許多的國際戰略交流類的這樣子一個論壇跟會議但我不曉得說副部長你有沒有親自這個到部隊去第一線去了解軍人的聲音上一次的會議我在這邊舉出我們榮景鄉親的例子那這一次就帶部長我們的副部長來看一看國軍在網路上是怎麼樣看待軍人這一份職業
transcript.whisperx[3].start 86.986
transcript.whisperx[3].end 102.144
transcript.whisperx[3].text 無論是當過志願役的還是義務役的其實都知道現在國軍是非常的缺人那大多數都不願意繼續擔任軍人這個職務那從這個圖片上網友的評論你可以看到說基層的問題很多
transcript.whisperx[4].start 104.079
transcript.whisperx[4].end 127.874
transcript.whisperx[4].text 那總結來看就是第一個待遇不好錢少工時長那休假常被召回等等的這些不合邏輯的這樣子的一個原因但是軍隊紀律注重成績的節制所以導致許多人不願意將軍人視為一份長期可發展的職業所以副部長對於普遍基層軍人這樣來評論國軍這一份職業以及點出現存的問題
transcript.whisperx[5].start 133.898
transcript.whisperx[5].end 157.607
transcript.whisperx[5].text 請問你的回應謝謝委員指教您所找到這個資料它多大程度是一個普遍現象我覺得我們可能還要再考察一下因為它並不是經過科學的隨機抽樣找到的一個資料當然有這樣的意見我們會深入這是第一點第二點我們沒有不照顧官兵我們也不是說
transcript.whisperx[6].start 158.467
transcript.whisperx[6].end 179.052
transcript.whisperx[6].text 我們不願意編 而是基於行政議題我們尊重行政院的目前的這個向法院的一個訴訟所以我們要等這個結果那我們也今年應該說去年我們也有很多佳績 各種各樣的佳績副部長 更誇張的是我們的委員我們的委員說只有僱傭兵才會為錢打仗
transcript.whisperx[7].start 184.67
transcript.whisperx[7].end 202.365
transcript.whisperx[7].text 這讓人家大肆一驚加薪增加這樣子的一個為我們國軍弟兄來增加他們權益然後呢來體恤他們的心腦以及招募更多優秀的人才這個是我們的目標啊對不對那所以
transcript.whisperx[8].start 204.397
transcript.whisperx[8].end 231.576
transcript.whisperx[8].text 如果說連基本的需求都不能滿足那就更不要去談什麼福利升遷這些機率的部分嘛你連基本的做不到你還在談什麼未來這些很幻想的東西空幻的東西空泛的東西所以這種說法不只是傷害國軍的士氣也暴露出執政黨對於軍事現實的一個嚴重的誤判世界上沒有任何一支軍隊是靠
transcript.whisperx[9].start 232.597
transcript.whisperx[9].end 244.404
transcript.whisperx[9].text 情懷撐起來的所以合理的薪資基本待遇是最基本的一個制度條件不是獎勵也不是施捨對不對 是不是這樣子副部長
transcript.whisperx[10].start 245.877
transcript.whisperx[10].end 270.022
transcript.whisperx[10].text 報委員關於這是最基本的吧關於軍人待遇我們沒有不調但是他是整體行政院調整的一部分但是我沒有看到國防部站出來澄清或者是譴責或者是批判這樣子的言論所以等於是說國防部我們這些長官是不是都已經默認了把軍人
transcript.whisperx[11].start 273.686
transcript.whisperx[11].end 293.081
transcript.whisperx[11].text 加薪 軍人增加待遇變成是一個唯利是圖那這樣子的情況是不是讓我們的這些從軍的國軍將士情何以堪提高待遇各行各業都要啦不是只有國軍但是面對目前兩岸的局勢
transcript.whisperx[12].start 294.572
transcript.whisperx[12].end 305.058
transcript.whisperx[12].text 這樣子一個緊張的狀態有可能發生任何的這樣子的一個情況的時候我們現在缺人缺武器什麼都缺
transcript.whisperx[13].start 306.6
transcript.whisperx[13].end 331.562
transcript.whisperx[13].text 連待遇也缺那怎麼樣提升國防戰力呢怎麼樣來提升防衛任性呢強化戰力這些東西所以你連基本待遇都不願意協助他們那怎麼樣要求他們呢未來使用武器的也是國軍啊未來上戰場的也是國軍啊抵禦外敵的也是國軍啊對不對可是我們的一個一個待遇低人手不足那何談戰力啊戰力要怎麼去
transcript.whisperx[14].start 333.341
transcript.whisperx[14].end 359.515
transcript.whisperx[14].text 講這些東西我們去年有五項加擠志願役 勤務加擠 戰鬥部隊加擠戰航管加擠 電偵加擠網路戰加擠這些加擠全部加總起來我請教一下副部長我們現在基層的阿兵哥二等兵 一等兵 上等兵多少錢四萬二 四萬四 四萬五是不是這樣子
transcript.whisperx[15].start 361.972
transcript.whisperx[15].end 389.403
transcript.whisperx[15].text 對不對 對嘛那如果說我想要請教說我們副部長如果你不譴責我們中委員說的只有僱傭兵才看錢打仗才要拿錢打仗如果你不譴責這樣子的言論那就等於是國防部支持那請問我們長官你們願不願意自請調降你們的薪水因為你們不是拿錢打仗的嘛你們不是拿錢保衛國家的嘛
transcript.whisperx[16].start 390.817
transcript.whisperx[16].end 412.464
transcript.whisperx[16].text 願不願意跟我們第一線的阿兵哥一等兵 二等兵 上等兵拿一樣的薪水 拿一樣的待遇高權重你應該要來爭取為我們第一線 我們的國軍我們這些阿兵哥士官來提升他們的權益嘛 照顧他們然後我們要購買這個
transcript.whisperx[17].start 415.072
transcript.whisperx[17].end 436.929
transcript.whisperx[17].text 國防的武器我們要軍購我們也不反對我們只希望你們提高軍人的待遇加薪把這個案子你們只要送進來一定可以馬上審查國防預算一定可以馬上赴委報告委員如果赴委以後我們就可以公開討論一案一案的來討論那你預算不送進來啊你沒有加薪啊報告這個事情也可以在赴委之後討論啊
transcript.whisperx[18].start 441.601
transcript.whisperx[18].end 466.172
transcript.whisperx[18].text 你沒有這個不要把兩個混在一起這個是最基本的條件我們三讀通過了為國軍加薪為我們的警消海巡的部分提高他們的一個這些權益的部分三讀通過了不編不編預算包委員我剛講過我們的立場是我們是行政的一部分行政是一體的
transcript.whisperx[19].start 468.345
transcript.whisperx[19].end 492.81
transcript.whisperx[19].text 所以我說你們隨便說要照顧阿明哥我們的國軍弟兄要照顧他們事實上是沒有做你們連做都沒做如果你們做了被行政院否決這是行政院的決定作為下屬單位尊重上屬沒有錯 但是問題你連做都沒做所以我在這邊要告訴你 副部長
transcript.whisperx[20].start 494.268
transcript.whisperx[20].end 507.858
transcript.whisperx[20].text 如果只要你們馬上編列我們軍人加薪還有我們的這些部分只要一編列就可以馬上復為好不好我們副部長請回謝謝主席有請我們陳組長陳組長委員好
transcript.whisperx[21].start 517.928
transcript.whisperx[21].end 540.478
transcript.whisperx[21].text 主席長你好其實講了很多不管說你說預算沒有過絕對影響經濟政府消費投資受挫這些議題我們在去年就已經都討論過了但是經濟成長除了說政府消費還有政府投資還包括民間消費民間投資還有出口你把這些焦點全部把它拉到政府端
transcript.whisperx[22].start 541.158
transcript.whisperx[22].end 564.952
transcript.whisperx[22].text 等於說把景氣好壞投資信心強弱還有外需的冷熱全部硬塞成預算過不過這單一個原因把全部這些把它塞在政府端說是因為預算不過所以這是偷換概念所以主席長在民間消費投資出口等數據都還沒有出來的情況目前喔那你是透過什麼樣的數據來說
transcript.whisperx[23].start 568.1
transcript.whisperx[23].end 570.417
transcript.whisperx[23].text 你透過什麼數據可以預算出影響
transcript.whisperx[24].start 571.987
transcript.whisperx[24].end 593.518
transcript.whisperx[24].text 經濟的結論因為這些預算不過而影響經濟的結論你可告訴我一下 簡單說明是 所以我們說不是全部啦但是問題就是說你如果業務費和設備費那每100億大概會影響0.05%但是你如果說消費的部分呢消費的部分本身就是每100億影響0.03是這樣子所以這個部分但是因為你還有出口啊還有進口這些等等
transcript.whisperx[25].start 599.941
transcript.whisperx[25].end 615.934
transcript.whisperx[25].text 你都把他怪罪說預算不夠但是我們這是預估裡面這裡面就是針對他100億來做台灣的經濟成長絕對不是靠政府花錢來撐 是當然但是他投資是算在哪裡中我們不要把人民當作笨蛋因為不要忽略
transcript.whisperx[26].start 616.995
transcript.whisperx[26].end 633.883
transcript.whisperx[26].text 不要忽略國務委員對於我國經濟的努力跟付出啦所以不要這樣子不斷的放話說預算未過的影響經濟 對不對所以我希望啦 你是專業事務官喔所以回到你真正應該辦你的本分好不好是 謝謝 謝謝委員好 謝謝好 謝謝坤衡委員接著請李坤誠召委諮詢