iVOD / 164163

Field Value
IVOD_ID 164163
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164163
日期 2025-10-15
會議資料.會議代碼 委員會-11-4-20-2
會議資料.會議代碼:str 第11屆第4會期財政委員會第2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 2
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2次全體委員會議
影片種類 Clip
開始時間 2025-10-15T11:16:23+08:00
結束時間 2025-10-15T11:28:22+08:00
影片長度 00:11:59
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/d759c3dbefb57db68087e3afb6f0e8c197bc26f8a2da105892e8362d61d61ef282244cc87e3a1d295ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 羅明才
委員發言時間 11:16:23 - 11:28:22
會議時間 2025-10-15T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政委員會第2次全體委員會議(事由:邀請行政院主計總處陳主計長淑姿、審計部陳審計長瑞敏率所屬單位主管列席業務報告,並備質詢。 【10月13日、15日及16日三天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 1.60034375
transcript.pyannote[0].end 2.17409375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 7.00034375
transcript.pyannote[1].end 10.79721875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 11.23596875
transcript.pyannote[2].end 15.08346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 15.42096875
transcript.pyannote[3].end 16.41659375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 19.63971875
transcript.pyannote[4].end 19.75784375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 19.75784375
transcript.pyannote[5].end 20.31471875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 20.31471875
transcript.pyannote[6].end 20.33159375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 20.65221875
transcript.pyannote[7].end 25.36034375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 25.57971875
transcript.pyannote[8].end 26.11971875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 27.16596875
transcript.pyannote[9].end 27.94221875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 28.87034375
transcript.pyannote[10].end 31.23284375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 31.38471875
transcript.pyannote[11].end 33.29159375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 33.29159375
transcript.pyannote[12].end 33.61221875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 33.71346875
transcript.pyannote[13].end 37.05471875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 37.07159375
transcript.pyannote[14].end 37.10534375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 37.39221875
transcript.pyannote[15].end 38.28659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 39.11346875
transcript.pyannote[16].end 43.14659375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 43.61909375
transcript.pyannote[17].end 47.78721875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 48.25971875
transcript.pyannote[18].end 54.94221875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 57.79409375
transcript.pyannote[19].end 60.64596875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 61.27034375
transcript.pyannote[20].end 61.55721875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 62.65409375
transcript.pyannote[21].end 62.94096875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 64.05471875
transcript.pyannote[22].end 64.74659375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 65.11784375
transcript.pyannote[23].end 66.51846875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 66.92346875
transcript.pyannote[24].end 67.88534375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 68.52659375
transcript.pyannote[25].end 69.21846875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 69.43784375
transcript.pyannote[26].end 73.69034375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 74.21346875
transcript.pyannote[27].end 74.68596875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 74.48346875
transcript.pyannote[28].end 75.83346875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 76.23846875
transcript.pyannote[29].end 95.03721875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 95.57721875
transcript.pyannote[30].end 100.25159375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 100.55534375
transcript.pyannote[31].end 101.09534375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 101.73659375
transcript.pyannote[32].end 103.77846875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 104.50409375
transcript.pyannote[33].end 104.99346875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 105.12846875
transcript.pyannote[34].end 105.16221875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 105.16221875
transcript.pyannote[35].end 105.49971875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 105.49971875
transcript.pyannote[36].end 105.51659375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 105.53346875
transcript.pyannote[37].end 107.55846875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 107.55846875
transcript.pyannote[38].end 107.94659375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 107.89596875
transcript.pyannote[39].end 110.20784375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 110.61284375
transcript.pyannote[40].end 112.36784375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 112.51971875
transcript.pyannote[41].end 112.89096875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 113.65034375
transcript.pyannote[42].end 115.52346875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 116.38409375
transcript.pyannote[43].end 118.22346875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 119.18534375
transcript.pyannote[44].end 120.21471875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 120.75471875
transcript.pyannote[45].end 121.02471875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 121.22721875
transcript.pyannote[46].end 122.39159375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 123.08346875
transcript.pyannote[47].end 124.50096875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 124.83846875
transcript.pyannote[48].end 128.71971875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 128.97284375
transcript.pyannote[49].end 129.52971875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 131.63909375
transcript.pyannote[50].end 132.92159375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 133.54596875
transcript.pyannote[51].end 137.03909375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 135.18284375
transcript.pyannote[52].end 135.85784375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 136.46534375
transcript.pyannote[53].end 139.26659375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 139.33409375
transcript.pyannote[54].end 139.38471875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 139.38471875
transcript.pyannote[55].end 139.62096875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 139.62096875
transcript.pyannote[56].end 141.03846875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 141.19034375
transcript.pyannote[57].end 142.64159375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 142.96221875
transcript.pyannote[58].end 143.92409375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 144.75096875
transcript.pyannote[59].end 146.10096875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 146.59034375
transcript.pyannote[60].end 149.35784375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 150.23534375
transcript.pyannote[61].end 151.33221875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 151.87221875
transcript.pyannote[62].end 152.37846875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 153.12096875
transcript.pyannote[63].end 161.22096875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 161.79471875
transcript.pyannote[64].end 162.40221875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 162.48659375
transcript.pyannote[65].end 167.68409375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 168.15659375
transcript.pyannote[66].end 168.84846875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 169.05096875
transcript.pyannote[67].end 170.80596875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 172.62846875
transcript.pyannote[68].end 176.08784375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 176.22284375
transcript.pyannote[69].end 176.72909375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 176.89784375
transcript.pyannote[70].end 178.63596875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 179.54721875
transcript.pyannote[71].end 180.72846875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 180.72846875
transcript.pyannote[72].end 182.38221875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 183.49596875
transcript.pyannote[73].end 183.85034375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 184.05284375
transcript.pyannote[74].end 187.02284375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 187.96784375
transcript.pyannote[75].end 191.74784375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 192.18659375
transcript.pyannote[76].end 193.48596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 194.17784375
transcript.pyannote[77].end 196.43909375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 196.57409375
transcript.pyannote[78].end 199.32471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 199.59471875
transcript.pyannote[79].end 202.81784375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 203.62784375
transcript.pyannote[80].end 204.64034375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 205.34909375
transcript.pyannote[81].end 206.32784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 206.66534375
transcript.pyannote[82].end 208.63971875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 209.11221875
transcript.pyannote[83].end 212.65596875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 213.26346875
transcript.pyannote[84].end 221.81909375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 216.36846875
transcript.pyannote[85].end 216.45284375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 217.68471875
transcript.pyannote[86].end 217.87034375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 218.07284375
transcript.pyannote[87].end 218.12346875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 222.30846875
transcript.pyannote[88].end 227.40471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 227.94471875
transcript.pyannote[89].end 232.78784375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 233.58096875
transcript.pyannote[90].end 235.08284375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 236.41596875
transcript.pyannote[91].end 243.45284375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 243.73971875
transcript.pyannote[92].end 245.74784375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 246.38909375
transcript.pyannote[93].end 247.30034375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 248.27909375
transcript.pyannote[94].end 248.97096875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 249.78096875
transcript.pyannote[95].end 250.50659375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 250.87784375
transcript.pyannote[96].end 251.92409375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 252.91971875
transcript.pyannote[97].end 253.79721875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 254.74221875
transcript.pyannote[98].end 258.16784375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 258.89346875
transcript.pyannote[99].end 260.88471875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 261.47534375
transcript.pyannote[100].end 263.51721875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 265.30596875
transcript.pyannote[101].end 266.26784375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 266.77409375
transcript.pyannote[102].end 267.49971875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 268.14096875
transcript.pyannote[103].end 268.90034375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 269.13659375
transcript.pyannote[104].end 270.94221875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 271.97159375
transcript.pyannote[105].end 272.00534375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 272.17409375
transcript.pyannote[106].end 273.01784375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 275.12721875
transcript.pyannote[107].end 276.05534375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 277.40534375
transcript.pyannote[108].end 277.89471875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 278.40096875
transcript.pyannote[109].end 279.48096875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 280.40909375
transcript.pyannote[110].end 282.56909375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 283.09221875
transcript.pyannote[111].end 283.73346875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 284.40846875
transcript.pyannote[112].end 284.89784375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 285.10034375
transcript.pyannote[113].end 287.53034375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 288.10409375
transcript.pyannote[114].end 289.09971875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 289.21784375
transcript.pyannote[115].end 291.39471875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 291.86721875
transcript.pyannote[116].end 293.38596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 292.98096875
transcript.pyannote[117].end 295.64721875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 296.32221875
transcript.pyannote[118].end 296.69346875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 296.69346875
transcript.pyannote[119].end 297.55409375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 299.15721875
transcript.pyannote[120].end 299.68034375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 300.57471875
transcript.pyannote[121].end 301.51971875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 302.32971875
transcript.pyannote[122].end 304.91159375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 305.48534375
transcript.pyannote[123].end 308.86034375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 309.94034375
transcript.pyannote[124].end 319.20471875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 319.74471875
transcript.pyannote[125].end 320.41971875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 321.87096875
transcript.pyannote[126].end 323.92971875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 323.96346875
transcript.pyannote[127].end 329.73471875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 331.08471875
transcript.pyannote[128].end 332.46846875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 335.59034375
transcript.pyannote[129].end 337.90221875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 338.32409375
transcript.pyannote[130].end 342.22221875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 342.45846875
transcript.pyannote[131].end 353.76471875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 354.81096875
transcript.pyannote[132].end 355.58721875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 358.00034375
transcript.pyannote[133].end 359.75534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 359.97471875
transcript.pyannote[134].end 360.05909375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 360.05909375
transcript.pyannote[135].end 360.07596875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 360.07596875
transcript.pyannote[136].end 360.12659375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 360.12659375
transcript.pyannote[137].end 360.16034375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 360.16034375
transcript.pyannote[138].end 360.36284375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 360.36284375
transcript.pyannote[139].end 360.76784375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 360.76784375
transcript.pyannote[140].end 362.35409375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 361.15596875
transcript.pyannote[141].end 361.88159375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 361.91534375
transcript.pyannote[142].end 361.98284375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 361.99971875
transcript.pyannote[143].end 363.88971875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 364.39596875
transcript.pyannote[144].end 365.07096875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 364.95284375
transcript.pyannote[145].end 365.67846875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 368.19284375
transcript.pyannote[146].end 369.27284375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 370.18409375
transcript.pyannote[147].end 372.10784375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 372.10784375
transcript.pyannote[148].end 372.68159375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 372.68159375
transcript.pyannote[149].end 372.98534375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 372.86721875
transcript.pyannote[150].end 373.93034375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 373.82909375
transcript.pyannote[151].end 376.98471875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 379.49909375
transcript.pyannote[152].end 379.65096875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 379.65096875
transcript.pyannote[153].end 379.70159375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 379.70159375
transcript.pyannote[154].end 380.03909375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 380.03909375
transcript.pyannote[155].end 380.05596875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 380.05596875
transcript.pyannote[156].end 380.08971875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 380.08971875
transcript.pyannote[157].end 380.15721875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 380.15721875
transcript.pyannote[158].end 380.93346875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 380.93346875
transcript.pyannote[159].end 381.25409375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 381.25409375
transcript.pyannote[160].end 381.27096875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 381.27096875
transcript.pyannote[161].end 381.30471875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 381.94596875
transcript.pyannote[162].end 383.09346875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 383.34659375
transcript.pyannote[163].end 387.46409375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 387.46409375
transcript.pyannote[164].end 390.92346875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 391.51409375
transcript.pyannote[165].end 395.27721875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 391.61534375
transcript.pyannote[166].end 392.47596875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 395.69909375
transcript.pyannote[167].end 397.87596875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 398.70284375
transcript.pyannote[168].end 401.77409375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 402.73596875
transcript.pyannote[169].end 404.59221875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 405.09846875
transcript.pyannote[170].end 406.02659375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 406.22909375
transcript.pyannote[171].end 406.66784375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 407.12346875
transcript.pyannote[172].end 409.41846875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 409.75596875
transcript.pyannote[173].end 411.76409375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 412.40534375
transcript.pyannote[174].end 413.18159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 413.87346875
transcript.pyannote[175].end 415.12221875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 415.56096875
transcript.pyannote[176].end 423.34034375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 424.06596875
transcript.pyannote[177].end 433.02659375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 433.22909375
transcript.pyannote[178].end 434.27534375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 434.68034375
transcript.pyannote[179].end 435.77721875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 436.09784375
transcript.pyannote[180].end 437.70096875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 437.73471875
transcript.pyannote[181].end 439.82721875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 441.09284375
transcript.pyannote[182].end 443.16846875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 442.91534375
transcript.pyannote[183].end 448.19721875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 444.70409375
transcript.pyannote[184].end 445.07534375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 448.72034375
transcript.pyannote[185].end 460.36409375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 460.51596875
transcript.pyannote[186].end 462.00096875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 462.50721875
transcript.pyannote[187].end 467.08034375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 467.43471875
transcript.pyannote[188].end 471.77159375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 472.15971875
transcript.pyannote[189].end 473.76284375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 474.25221875
transcript.pyannote[190].end 475.45034375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 475.93971875
transcript.pyannote[191].end 476.81721875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 477.08721875
transcript.pyannote[192].end 477.67784375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 478.01534375
transcript.pyannote[193].end 478.92659375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 478.96034375
transcript.pyannote[194].end 478.97721875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 479.16284375
transcript.pyannote[195].end 480.22596875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 480.49596875
transcript.pyannote[196].end 513.01409375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 514.21221875
transcript.pyannote[197].end 519.12284375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 515.22471875
transcript.pyannote[198].end 515.64659375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 517.78971875
transcript.pyannote[199].end 517.80659375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 519.47721875
transcript.pyannote[200].end 528.67409375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 528.10034375
transcript.pyannote[201].end 529.65284375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 529.11284375
transcript.pyannote[202].end 535.79534375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 536.09909375
transcript.pyannote[203].end 536.68971875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 536.75721875
transcript.pyannote[204].end 538.03971875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 538.52909375
transcript.pyannote[205].end 543.23721875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 543.99659375
transcript.pyannote[206].end 551.08409375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 551.37096875
transcript.pyannote[207].end 552.78846875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 553.73346875
transcript.pyannote[208].end 555.11721875
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 555.15096875
transcript.pyannote[209].end 555.16784375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 555.16784375
transcript.pyannote[210].end 558.01971875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 555.60659375
transcript.pyannote[211].end 555.67409375
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 556.24784375
transcript.pyannote[212].end 557.02409375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 558.40784375
transcript.pyannote[213].end 565.83284375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 566.57534375
transcript.pyannote[214].end 567.09846875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 567.97596875
transcript.pyannote[215].end 569.08971875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 569.68034375
transcript.pyannote[216].end 572.44784375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 572.70096875
transcript.pyannote[217].end 577.78034375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 576.83534375
transcript.pyannote[218].end 579.41721875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 579.13034375
transcript.pyannote[219].end 579.55221875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 579.51846875
transcript.pyannote[220].end 581.93159375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 582.69096875
transcript.pyannote[221].end 583.60221875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 582.94409375
transcript.pyannote[222].end 585.86346875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 585.91409375
transcript.pyannote[223].end 588.02346875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 588.44534375
transcript.pyannote[224].end 590.92596875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 591.04409375
transcript.pyannote[225].end 600.22409375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 600.42659375
transcript.pyannote[226].end 607.10909375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 601.91159375
transcript.pyannote[227].end 602.45159375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 603.29534375
transcript.pyannote[228].end 603.81846875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 608.79659375
transcript.pyannote[229].end 612.81284375
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 613.21784375
transcript.pyannote[230].end 614.07846875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 614.70284375
transcript.pyannote[231].end 616.62659375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 616.69409375
transcript.pyannote[232].end 617.41971875
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 617.89221875
transcript.pyannote[233].end 633.01221875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 633.36659375
transcript.pyannote[234].end 640.06596875
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 640.62284375
transcript.pyannote[235].end 641.75346875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 643.57596875
transcript.pyannote[236].end 644.67284375
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 644.74034375
transcript.pyannote[237].end 645.95534375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 646.52909375
transcript.pyannote[238].end 648.04784375
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 648.04784375
transcript.pyannote[239].end 648.84096875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 648.84096875
transcript.pyannote[240].end 650.86596875
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 650.93346875
transcript.pyannote[241].end 652.73909375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 652.62096875
transcript.pyannote[242].end 653.17784375
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 653.56596875
transcript.pyannote[243].end 656.55284375
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 656.73846875
transcript.pyannote[244].end 657.59909375
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 657.70034375
transcript.pyannote[245].end 658.57784375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 659.06721875
transcript.pyannote[246].end 662.29034375
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 659.67471875
transcript.pyannote[247].end 660.46784375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 661.19346875
transcript.pyannote[248].end 666.35721875
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 666.82971875
transcript.pyannote[249].end 669.78284375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 670.71096875
transcript.pyannote[250].end 672.39846875
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 671.52096875
transcript.pyannote[251].end 677.03909375
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 677.66346875
transcript.pyannote[252].end 680.05971875
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 680.68409375
transcript.pyannote[253].end 681.88221875
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 682.38846875
transcript.pyannote[254].end 683.62034375
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 684.16034375
transcript.pyannote[255].end 687.11346875
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 687.58596875
transcript.pyannote[256].end 693.05346875
transcript.pyannote[257].speaker SPEAKER_00
transcript.pyannote[257].start 694.16721875
transcript.pyannote[257].end 697.54221875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 698.45346875
transcript.pyannote[258].end 699.16221875
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 699.43221875
transcript.pyannote[259].end 700.69784375
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 701.33909375
transcript.pyannote[260].end 701.98034375
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 702.35159375
transcript.pyannote[261].end 703.16159375
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 703.70159375
transcript.pyannote[262].end 705.43971875
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 705.82784375
transcript.pyannote[263].end 708.81471875
transcript.pyannote[264].speaker SPEAKER_00
transcript.pyannote[264].start 709.55721875
transcript.pyannote[264].end 710.26596875
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 710.72159375
transcript.pyannote[265].end 713.69159375
transcript.pyannote[266].speaker SPEAKER_00
transcript.pyannote[266].start 714.07971875
transcript.pyannote[266].end 715.96971875
transcript.pyannote[267].speaker SPEAKER_00
transcript.pyannote[267].start 716.12159375
transcript.pyannote[267].end 716.96534375
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 716.96534375
transcript.pyannote[268].end 717.23534375
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 717.18471875
transcript.pyannote[269].end 719.96909375
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 717.40409375
transcript.pyannote[270].end 717.77534375
transcript.whisperx[0].start 8.304
transcript.whisperx[0].end 14.389
transcript.whisperx[0].text 主席有請陳淑芝 陳主席長我們請陳主席長委員好整個現在世界的經濟成長情況因為美中
transcript.whisperx[1].start 30.26
transcript.whisperx[1].end 53.556
transcript.whisperx[1].text 這個關稅戰的關係影響了很大的佈局現在昨天又宣布要收港口稅兩邊就這樣對來對去你對於現在台灣明年度的經濟成長的預測情況是怎麼樣我們目前大概是預測明年差不多2.8億左右
transcript.whisperx[2].start 58.376
transcript.whisperx[2].end 75.447
transcript.whisperx[2].text 比央行預測的還要高那IMF這個機構已經預測明年的經濟是往下滑的啊那台灣的情況怎麼樣
transcript.whisperx[3].start 76.274
transcript.whisperx[3].end 103.314
transcript.whisperx[3].text 它其實要分一個是傳產的一個產業那一個就是一般AI的一個產業那這AI的產業它是其實是也還持續看好但是傳統產業的這個部分所以這就是我們任性預算裡面要一個協助的一個重點 是這樣現在整個台灣的經濟發展以及民間的結構事實上跟以往傳統的發展是不一樣的
transcript.whisperx[4].start 104.571
transcript.whisperx[4].end 129.256
transcript.whisperx[4].text 主席長 過去一些傳產的部分大概有三分之二的這些上市上櫃公司它的股價沒漲反而跌跌破20年線那我們就發現這個世界在變台灣的經濟表現跟相較於全世界來講我們還可以 為什麼
transcript.whisperx[5].start 131.767
transcript.whisperx[5].end 160.694
transcript.whisperx[5].text 因為我們是有AI產業還有機動產業的一個助力我們就是靠一個台積電護國神山以及周邊大概是四五十家跟AI有相關性的成長特別的熱我們很顯然就看到說世界在改變還好台灣有台積還好台灣有AI
transcript.whisperx[6].start 161.877
transcript.whisperx[6].end 186.205
transcript.whisperx[6].text 那在你的報告當中也講到這個以後AI的一個概念那請問那現在輝達到底要不要留在台灣我想各地方政府都在努力當中好 那每個人需不需要多努力是 都需要努力你們有什麼可以努力的地方這個部分 以我們來講的部分
transcript.whisperx[7].start 188.004
transcript.whisperx[7].end 201.68
transcript.whisperx[7].text 我們大概是譬如說有哪些需要產業協助的部分我們也能夠中央能夠來盡力這樣子產業協助你們也可以做什麼樣的協助這要看經濟部那邊他要怎麼樣來處理
transcript.whisperx[8].start 203.646
transcript.whisperx[8].end 232.015
transcript.whisperx[8].text 我想一般的國際大廠如果要真正要落地總部要設在這邊周遭的環境就很重要當然是交通 醫療你總部放這邊就有一些學生就學的這個問題周邊還有生活圈等等所以我在看就是回歸到一個就是當然比較重視的
transcript.whisperx[9].start 233.872
transcript.whisperx[9].end 255.724
transcript.whisperx[9].text 財政收支劃分法你要讓地方政府有能力把這些經費好好的去推動下水道 至少不要淹水嘛你看上次高雄啊淹大水台南也淹水就改變了什麼改變了這些國際大廠
transcript.whisperx[10].start 258.962
transcript.whisperx[10].end 286.738
transcript.whisperx[10].text 落戶的考量嘛聽說現在嘉義他們都不去了是不是應該不會吧有要去嗎還是有啊台積電幾場不都停工了還會再去嗎高雄會去嗎有啊會去嗎 哪一家會去目前高雄就有在那個那個高雄他在那個叫什麼
transcript.whisperx[11].start 288.137
transcript.whisperx[11].end 307.79
transcript.whisperx[11].text 男子交通區不是不是男子 另外一個那個叫什麼沒有啦 現在很多小孩不敢去了不會啦最主要就是淹水你想想看喔那這些機器設備那麼的重要淹了一次以後誰敢保證說不會淹
transcript.whisperx[12].start 309.977
transcript.whisperx[12].end 337.546
transcript.whisperx[12].text 所以就是下水道等等周邊治山防洪的這些經費的問題我們就再繞回來看就是財化法本息來自新北那你們今年對新北的地方性一般的補助少了多少我們新北400多萬的人口
transcript.whisperx[13].start 338.802
transcript.whisperx[13].end 364.921
transcript.whisperx[13].text 本來平均下來給我們地方的就少現在還東扣西扣連一般性的補助都少了那你一少變成我自主的財源裡面就切出一塊來彌補這個地方那變成左右漸左少了多少 主席長增加了增加多少
transcript.whisperx[14].start 368.223
transcript.whisperx[14].end 396.828
transcript.whisperx[14].text 增加89今年增加89對 一般性補助可是我們本來預期是應該有200多啊整個是多了209億它是 整個是 重量易住財它整個是多209億那你可能就是那個專案補助的部分增加吧沒有 計畫型補助我們一般性補助它是有增加所以整個
transcript.whisperx[15].start 399.652
transcript.whisperx[15].end 422.961
transcript.whisperx[15].text 從總分配稅款他增加415那你如果有增加的話按照道理那地方的縣市首長要感謝你啊那為什麼我們侯市長他感覺經費是不足的啊中央是應該多多編下來多多來支持地方的那請問你你有沒有跟侯市長有溝通過
transcript.whisperx[16].start 424.141
transcript.whisperx[16].end 448.002
transcript.whisperx[16].text 我們這個有行政院我們院長有召開一個縣市長的一個相關的一個討論的會議也有邀請 何市長也有參加那他說了什麼對 這個部分他是說如果是屬於地方應該負擔的部分他們會負起責任 是這樣對 那是他負的責任嘛那他當然是希望說中央能可以多多的補助啊
transcript.whisperx[17].start 448.82
transcript.whisperx[17].end 459.931
transcript.whisperx[17].text 我們也盡量我們也希望能夠多多補助但是就是力有未待因為我們被拿掉4165億之後我們沒有能力繼續維持原來的補助
transcript.whisperx[18].start 460.578
transcript.whisperx[18].end 468.845
transcript.whisperx[18].text 外界都搞不清楚我們每年稅收都超徵去年超徵了5280億前年累積這幾年超徵了一兆8000億大家在問 奇怪為什麼主計總處這邊你還要喊說沒錢錢跑去哪裡了
transcript.whisperx[19].start 480.578
transcript.whisperx[19].end 500.987
transcript.whisperx[19].text 我要跟委員講像去年你說去年超生五千多億那這五千多億中央拿到的是三千多億其他的是地方拿走了那三千多億整個到一個叫做累積剩餘裡面去那以一百一十三年度整個累積剩餘是八千三百九十三億那這個部分他去挹注那個那個那個那個
transcript.whisperx[20].start 501.687
transcript.whisperx[20].end 509.112
transcript.whisperx[20].text 後的特別預算還有特別戰機的一個部分整個拿掉之後4444億支援這一次的韌性預算還要舉債1056億
transcript.whisperx[21].start 514.264
transcript.whisperx[21].end 542.636
transcript.whisperx[21].text 我們地方所有的建設熬熬待補希望主計長能多多體恤民情多多關愛的眼神來照顧我們新北的發展我們也希望盡量我們繳稅繳那麼多可是得到的福利跟待遇卻覺得天壤之別所以希望包括交通 捷運等等我們都需要仰賴
transcript.whisperx[22].start 544.079
transcript.whisperx[22].end 572.239
transcript.whisperx[22].text 中央的多多支持才有辦法來推動比如說我們深坑地區深坑輕軌你們準備補助多少輕軌的部分深坑 對 深坑輕軌還有像我們新店的第二運動中心在安坑地區我們也爭取要做一個運動中心我們都吃吃的在等可不可以在這個部分你們可以多多的協助
transcript.whisperx[23].start 573.102
transcript.whisperx[23].end 598.767
transcript.whisperx[23].text 這個是由各部會計劃型的補助是由各部會來負責我們都提出了計劃型的補助深坑輕軌大概280多億吧我們也希望看交通部來審查的一個情形那如果都審查通過的話主計總署主委長那邊可不可以多多支持如果交通部審查通過他會按財力分級去做分配那分配的情形之後編列預算這個部分我們就會來支持
transcript.whisperx[24].start 600.949
transcript.whisperx[24].end 612.333
transcript.whisperx[24].text 請大力支持因為都等很久了因為再繞回來就是這個軍人加薪的部分剛剛很多委員都提到我們都通過啊你們為什麼不編這一點
transcript.whisperx[25].start 614.918
transcript.whisperx[25].end 641.563
transcript.whisperx[25].text 請你多多考量一下軍人保家衛國非常辛苦那該加薪的部分一定要予以照顧還有退休軍警銷他們的一些基本的一些權利跟義務也應該多多照顧了現在萬物飆漲就是這一些最基層的公務人員得不到政府的關懷今年度有沒有加薪
transcript.whisperx[26].start 643.635
transcript.whisperx[26].end 668.83
transcript.whisperx[26].text 今年沒有加薪明年度會不會加薪115沒有加薪也沒加今年114有加薪115沒加可是你這樣加薪今年加也沒加幾%百分之四百分之四百分之三雞腿便當本來70塊現在都漲到140了它是漲了一倍結果你說你加薪3塊錢
transcript.whisperx[27].start 671.179
transcript.whisperx[27].end 697.331
transcript.whisperx[27].text 等於一個便當多70塊中央你只給我3塊錢那我缺的67塊我找誰拿啊所以現在基本的員工公務人員的心情就是說你加3%趕不上物價飆漲的速度所以怎麼辦這個就是我們考量所以現在國內情況就是
transcript.whisperx[28].start 698.479
transcript.whisperx[28].end 718.945
transcript.whisperx[28].text 年輕人不敢生生了怕養不起造成這個國安的問題所以希望竹記長可以多多想一下錢能幫忙多照顧年輕人多照顧地方好不好是謝謝好 我們謝謝