iVOD / 163802

Field Value
IVOD_ID 163802
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163802
日期 2025-10-03
會議資料.會議代碼 院會-11-4-3
會議資料.會議代碼:str 第11屆第4會期第3次會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 3
會議資料.種類 院會
會議資料.標題 第11屆第4會期第3次會議
影片種類 Clip
開始時間 2025-10-03T12:16:21+08:00
結束時間 2025-10-03T12:32:09+08:00
影片長度 00:15:48
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/095f1cfadbf5b890738baefef9a7339b704543300bdabf021764375d49d526b92cfcc21c557743ff5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 葉元之
委員發言時間 12:16:21 - 12:32:09
會議時間 2025-10-03T09:00:00+08:00
會議名稱 第11屆第4會期第3次會議(事由:一、行政院院長、主計長、財政部部長、經濟部部長及相關部會首長列席報告「中央政府因應國際情勢強化經濟社會及民生國安韌性特別預算案」編製經過並備質詢(10月3日)。二、對行政院院長施政報告繼續質詢(10月7日)。三、10月3日上午9時至10時為國是論壇時間。四、10月7日下午2時15分至2時30分為處理臨時提案時間。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.50346875
transcript.pyannote[1].speaker SPEAKER_05
transcript.pyannote[1].start 10.03784375
transcript.pyannote[1].end 10.22346875
transcript.pyannote[2].speaker SPEAKER_04
transcript.pyannote[2].start 10.22346875
transcript.pyannote[2].end 24.39846875
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 24.82034375
transcript.pyannote[3].end 26.17034375
transcript.pyannote[4].speaker SPEAKER_04
transcript.pyannote[4].start 26.49096875
transcript.pyannote[4].end 28.36409375
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 28.49909375
transcript.pyannote[5].end 35.35034375
transcript.pyannote[6].speaker SPEAKER_04
transcript.pyannote[6].start 35.48534375
transcript.pyannote[6].end 35.58659375
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 35.58659375
transcript.pyannote[7].end 35.65409375
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 35.65409375
transcript.pyannote[8].end 39.01221875
transcript.pyannote[9].speaker SPEAKER_04
transcript.pyannote[9].start 39.14721875
transcript.pyannote[9].end 46.28534375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 39.31596875
transcript.pyannote[10].end 40.26096875
transcript.pyannote[11].speaker SPEAKER_04
transcript.pyannote[11].start 46.58909375
transcript.pyannote[11].end 74.29784375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 46.70721875
transcript.pyannote[12].end 48.19221875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 60.62909375
transcript.pyannote[13].end 62.75534375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 74.68596875
transcript.pyannote[14].end 79.79909375
transcript.pyannote[15].speaker SPEAKER_04
transcript.pyannote[15].start 75.64784375
transcript.pyannote[15].end 79.00596875
transcript.pyannote[16].speaker SPEAKER_04
transcript.pyannote[16].start 79.79909375
transcript.pyannote[16].end 79.83284375
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 79.83284375
transcript.pyannote[17].end 79.86659375
transcript.pyannote[18].speaker SPEAKER_04
transcript.pyannote[18].start 79.93409375
transcript.pyannote[18].end 88.99596875
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 87.51096875
transcript.pyannote[19].end 92.77596875
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 89.99159375
transcript.pyannote[20].end 93.70409375
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 93.97409375
transcript.pyannote[21].end 105.66846875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 98.73284375
transcript.pyannote[22].end 99.10409375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 99.64409375
transcript.pyannote[23].end 100.52159375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 104.75721875
transcript.pyannote[24].end 107.96346875
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 107.96346875
transcript.pyannote[25].end 123.11721875
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 110.17409375
transcript.pyannote[26].end 110.32596875
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 112.63784375
transcript.pyannote[27].end 114.17346875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 114.17346875
transcript.pyannote[28].end 114.22409375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 117.02534375
transcript.pyannote[29].end 118.93221875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 121.24409375
transcript.pyannote[30].end 123.08346875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 123.11721875
transcript.pyannote[31].end 123.97784375
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 123.97784375
transcript.pyannote[32].end 141.98346875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 126.59346875
transcript.pyannote[33].end 127.16721875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 131.31846875
transcript.pyannote[34].end 131.97659375
transcript.pyannote[35].speaker SPEAKER_03
transcript.pyannote[35].start 132.98909375
transcript.pyannote[35].end 135.97596875
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 142.50659375
transcript.pyannote[36].end 145.03784375
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 145.12221875
transcript.pyannote[37].end 147.85596875
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 148.10909375
transcript.pyannote[38].end 155.06159375
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 155.63534375
transcript.pyannote[39].end 158.14971875
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 158.57159375
transcript.pyannote[40].end 160.68096875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 160.93409375
transcript.pyannote[41].end 164.37659375
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 164.71409375
transcript.pyannote[42].end 168.84846875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 169.06784375
transcript.pyannote[43].end 170.13096875
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 169.74284375
transcript.pyannote[44].end 172.18971875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 172.18971875
transcript.pyannote[45].end 173.53971875
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 173.53971875
transcript.pyannote[46].end 173.59034375
transcript.pyannote[47].speaker SPEAKER_03
transcript.pyannote[47].start 173.59034375
transcript.pyannote[47].end 173.60721875
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 173.60721875
transcript.pyannote[48].end 174.87284375
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 173.62409375
transcript.pyannote[49].end 173.84346875
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 174.06284375
transcript.pyannote[50].end 174.75471875
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 174.87284375
transcript.pyannote[51].end 174.88971875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 174.88971875
transcript.pyannote[52].end 174.90659375
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 175.71659375
transcript.pyannote[53].end 183.47909375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 175.76721875
transcript.pyannote[54].end 177.53909375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 183.47909375
transcript.pyannote[55].end 183.74909375
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 183.74909375
transcript.pyannote[56].end 183.76596875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 183.76596875
transcript.pyannote[57].end 184.62659375
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 183.78284375
transcript.pyannote[58].end 185.94284375
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 184.94721875
transcript.pyannote[59].end 191.12346875
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 189.08159375
transcript.pyannote[60].end 199.62846875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 194.31284375
transcript.pyannote[61].end 195.08909375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 199.62846875
transcript.pyannote[62].end 201.18096875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 200.47221875
transcript.pyannote[63].end 206.15909375
transcript.pyannote[64].speaker SPEAKER_03
transcript.pyannote[64].start 205.19721875
transcript.pyannote[64].end 206.96909375
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 206.96909375
transcript.pyannote[65].end 207.03659375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 207.03659375
transcript.pyannote[66].end 207.05346875
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 207.05346875
transcript.pyannote[67].end 216.30096875
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 216.43596875
transcript.pyannote[68].end 227.13471875
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 226.22346875
transcript.pyannote[69].end 227.26971875
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 227.26971875
transcript.pyannote[70].end 239.55471875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 231.08346875
transcript.pyannote[71].end 232.41659375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 234.49221875
transcript.pyannote[72].end 235.80846875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 236.55096875
transcript.pyannote[73].end 237.39471875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 239.18346875
transcript.pyannote[74].end 246.57471875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 247.43534375
transcript.pyannote[75].end 252.14346875
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 249.52784375
transcript.pyannote[76].end 249.54471875
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 249.54471875
transcript.pyannote[77].end 252.09284375
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 252.14346875
transcript.pyannote[78].end 254.37096875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 254.37096875
transcript.pyannote[79].end 256.64909375
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 254.48909375
transcript.pyannote[80].end 254.67471875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 256.76721875
transcript.pyannote[81].end 257.42534375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 257.62784375
transcript.pyannote[82].end 261.10409375
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 259.93971875
transcript.pyannote[83].end 260.56409375
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 261.10409375
transcript.pyannote[84].end 261.13784375
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 261.15471875
transcript.pyannote[85].end 292.93034375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 265.49159375
transcript.pyannote[86].end 266.47034375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 280.81409375
transcript.pyannote[87].end 281.64096875
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 293.72346875
transcript.pyannote[88].end 304.99596875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 294.44909375
transcript.pyannote[89].end 295.66409375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 296.60909375
transcript.pyannote[90].end 299.56221875
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 305.33346875
transcript.pyannote[91].end 308.40471875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 307.67909375
transcript.pyannote[92].end 308.97846875
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 308.97846875
transcript.pyannote[93].end 309.94034375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 310.68284375
transcript.pyannote[94].end 310.95284375
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 311.32409375
transcript.pyannote[95].end 318.27659375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 313.85534375
transcript.pyannote[96].end 314.27721875
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 318.56346875
transcript.pyannote[97].end 319.47471875
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 319.72784375
transcript.pyannote[98].end 326.27534375
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 326.84909375
transcript.pyannote[99].end 330.51096875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 330.96659375
transcript.pyannote[100].end 335.06721875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 335.91096875
transcript.pyannote[101].end 364.27784375
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 363.45096875
transcript.pyannote[102].end 364.41284375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 364.41284375
transcript.pyannote[103].end 364.42971875
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 364.42971875
transcript.pyannote[104].end 364.44659375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 364.44659375
transcript.pyannote[105].end 369.39096875
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 369.12096875
transcript.pyannote[106].end 380.86596875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 374.03159375
transcript.pyannote[107].end 374.62221875
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 374.62221875
transcript.pyannote[108].end 374.67284375
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 376.30971875
transcript.pyannote[109].end 376.88346875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 376.88346875
transcript.pyannote[110].end 377.08596875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 379.87034375
transcript.pyannote[111].end 380.27534375
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 380.27534375
transcript.pyannote[112].end 380.35971875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 380.35971875
transcript.pyannote[113].end 385.86096875
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 381.05159375
transcript.pyannote[114].end 381.59159375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 386.23221875
transcript.pyannote[115].end 392.47596875
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 391.48034375
transcript.pyannote[116].end 391.90221875
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 392.18909375
transcript.pyannote[117].end 405.08159375
transcript.pyannote[118].speaker SPEAKER_03
transcript.pyannote[118].start 406.56659375
transcript.pyannote[118].end 406.58346875
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 406.58346875
transcript.pyannote[119].end 406.60034375
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 406.60034375
transcript.pyannote[120].end 407.69721875
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 407.98409375
transcript.pyannote[121].end 421.95659375
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 415.86471875
transcript.pyannote[122].end 416.67471875
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 417.90659375
transcript.pyannote[123].end 419.10471875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 419.18909375
transcript.pyannote[124].end 428.23409375
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 428.74034375
transcript.pyannote[125].end 428.75721875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 428.75721875
transcript.pyannote[126].end 429.93846875
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 428.77409375
transcript.pyannote[127].end 432.94221875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 432.58784375
transcript.pyannote[128].end 435.01784375
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 435.01784375
transcript.pyannote[129].end 438.57846875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 435.03471875
transcript.pyannote[130].end 435.05159375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 436.80659375
transcript.pyannote[131].end 441.97034375
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 441.59909375
transcript.pyannote[132].end 446.08784375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 446.08784375
transcript.pyannote[133].end 446.76284375
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 446.56034375
transcript.pyannote[134].end 454.18784375
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 446.76284375
transcript.pyannote[135].end 446.77971875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 446.77971875
transcript.pyannote[136].end 446.96534375
transcript.pyannote[137].speaker SPEAKER_05
transcript.pyannote[137].start 446.96534375
transcript.pyannote[137].end 447.42096875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 447.42096875
transcript.pyannote[138].end 447.53909375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 454.45784375
transcript.pyannote[139].end 460.39784375
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 456.04409375
transcript.pyannote[140].end 456.48284375
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 459.48659375
transcript.pyannote[141].end 468.29534375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 468.49784375
transcript.pyannote[142].end 469.64534375
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 469.05471875
transcript.pyannote[143].end 471.38346875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 470.65784375
transcript.pyannote[144].end 472.68284375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 473.03721875
transcript.pyannote[145].end 479.88846875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 473.23971875
transcript.pyannote[146].end 473.29034375
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 473.29034375
transcript.pyannote[147].end 473.56034375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 475.33221875
transcript.pyannote[148].end 476.86784375
transcript.pyannote[149].speaker SPEAKER_04
transcript.pyannote[149].start 478.67346875
transcript.pyannote[149].end 488.08971875
transcript.pyannote[150].speaker SPEAKER_04
transcript.pyannote[150].start 488.78159375
transcript.pyannote[150].end 493.97909375
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 494.21534375
transcript.pyannote[151].end 494.78909375
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 495.78471875
transcript.pyannote[152].end 500.79659375
transcript.pyannote[153].speaker SPEAKER_04
transcript.pyannote[153].start 500.99909375
transcript.pyannote[153].end 512.82846875
transcript.pyannote[154].speaker SPEAKER_04
transcript.pyannote[154].start 513.06471875
transcript.pyannote[154].end 515.34284375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 516.59159375
transcript.pyannote[155].end 524.53971875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 524.69159375
transcript.pyannote[156].end 528.99471875
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 524.86034375
transcript.pyannote[157].end 527.32409375
transcript.pyannote[158].speaker SPEAKER_04
transcript.pyannote[158].start 528.18471875
transcript.pyannote[158].end 530.76659375
transcript.pyannote[159].speaker SPEAKER_04
transcript.pyannote[159].start 531.35721875
transcript.pyannote[159].end 536.84159375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 536.77409375
transcript.pyannote[160].end 537.97221875
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 537.51659375
transcript.pyannote[161].end 540.48659375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 539.81159375
transcript.pyannote[162].end 543.45659375
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 542.15721875
transcript.pyannote[163].end 544.01346875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 543.64221875
transcript.pyannote[164].end 548.09721875
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 546.93284375
transcript.pyannote[165].end 551.60721875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 549.97034375
transcript.pyannote[166].end 553.09221875
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 552.56909375
transcript.pyannote[167].end 558.64409375
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 558.84659375
transcript.pyannote[168].end 560.98971875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 561.29346875
transcript.pyannote[169].end 579.43409375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 577.10534375
transcript.pyannote[170].end 577.59471875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 579.56909375
transcript.pyannote[171].end 584.31096875
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 583.39971875
transcript.pyannote[172].end 589.66034375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 584.64846875
transcript.pyannote[173].end 587.65221875
transcript.pyannote[174].speaker SPEAKER_05
transcript.pyannote[174].start 587.65221875
transcript.pyannote[174].end 587.77034375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 587.77034375
transcript.pyannote[175].end 587.78721875
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 587.78721875
transcript.pyannote[176].end 587.88846875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 587.88846875
transcript.pyannote[177].end 587.90534375
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 587.90534375
transcript.pyannote[178].end 588.86721875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 588.86721875
transcript.pyannote[179].end 588.95159375
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 588.95159375
transcript.pyannote[180].end 588.96846875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 589.77846875
transcript.pyannote[181].end 589.89659375
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 589.89659375
transcript.pyannote[182].end 589.98096875
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 589.98096875
transcript.pyannote[183].end 593.69346875
transcript.pyannote[184].speaker SPEAKER_05
transcript.pyannote[184].start 590.45346875
transcript.pyannote[184].end 590.50409375
transcript.pyannote[185].speaker SPEAKER_05
transcript.pyannote[185].start 590.57159375
transcript.pyannote[185].end 591.01034375
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 593.86221875
transcript.pyannote[186].end 598.21596875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 598.55346875
transcript.pyannote[187].end 599.26221875
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 598.99221875
transcript.pyannote[188].end 603.51471875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 603.75096875
transcript.pyannote[189].end 623.89971875
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 622.29659375
transcript.pyannote[190].end 625.97534375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 626.14409375
transcript.pyannote[191].end 626.46471875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 627.13971875
transcript.pyannote[192].end 629.82284375
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 627.32534375
transcript.pyannote[193].end 627.86534375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 630.09284375
transcript.pyannote[194].end 630.59909375
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 630.26159375
transcript.pyannote[195].end 637.39971875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 631.47659375
transcript.pyannote[196].end 631.91534375
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 637.70346875
transcript.pyannote[197].end 644.47034375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 641.90534375
transcript.pyannote[198].end 643.96409375
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 645.01034375
transcript.pyannote[199].end 655.35471875
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 655.77659375
transcript.pyannote[200].end 658.76346875
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 657.41346875
transcript.pyannote[201].end 668.14596875
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 668.23034375
transcript.pyannote[202].end 671.95971875
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 672.38159375
transcript.pyannote[203].end 676.26284375
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 676.66784375
transcript.pyannote[204].end 678.57471875
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 676.98846875
transcript.pyannote[205].end 677.30909375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 678.82784375
transcript.pyannote[206].end 686.97846875
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 678.86159375
transcript.pyannote[207].end 679.62096875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 686.08409375
transcript.pyannote[208].end 686.75909375
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 686.97846875
transcript.pyannote[209].end 696.32721875
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 694.01534375
transcript.pyannote[210].end 695.46659375
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 696.42846875
transcript.pyannote[211].end 708.34221875
transcript.pyannote[212].speaker SPEAKER_05
transcript.pyannote[212].start 696.47909375
transcript.pyannote[212].end 696.51284375
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 696.51284375
transcript.pyannote[213].end 698.41971875
transcript.pyannote[214].speaker SPEAKER_05
transcript.pyannote[214].start 698.41971875
transcript.pyannote[214].end 698.50409375
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 708.35909375
transcript.pyannote[215].end 709.60784375
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 710.51909375
transcript.pyannote[216].end 718.18034375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 718.18034375
transcript.pyannote[217].end 723.79971875
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 724.13721875
transcript.pyannote[218].end 725.14971875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 725.55471875
transcript.pyannote[219].end 728.99721875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 729.45284375
transcript.pyannote[220].end 732.49034375
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 732.96284375
transcript.pyannote[221].end 733.04721875
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 733.04721875
transcript.pyannote[222].end 733.08096875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 733.08096875
transcript.pyannote[223].end 734.29596875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 733.11471875
transcript.pyannote[224].end 733.16534375
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 733.23284375
transcript.pyannote[225].end 742.44659375
transcript.pyannote[226].speaker SPEAKER_05
transcript.pyannote[226].start 734.29596875
transcript.pyannote[226].end 735.81471875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 735.81471875
transcript.pyannote[227].end 735.86534375
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 743.08784375
transcript.pyannote[228].end 745.02846875
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 743.69534375
transcript.pyannote[229].end 743.88096875
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 743.88096875
transcript.pyannote[230].end 743.96534375
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 743.96534375
transcript.pyannote[231].end 744.40409375
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 744.40409375
transcript.pyannote[232].end 745.78784375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 745.02846875
transcript.pyannote[233].end 757.31346875
transcript.pyannote[234].speaker SPEAKER_05
transcript.pyannote[234].start 745.78784375
transcript.pyannote[234].end 745.83846875
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 745.83846875
transcript.pyannote[235].end 745.87221875
transcript.pyannote[236].speaker SPEAKER_05
transcript.pyannote[236].start 745.87221875
transcript.pyannote[236].end 746.86784375
transcript.pyannote[237].speaker SPEAKER_04
transcript.pyannote[237].start 746.86784375
transcript.pyannote[237].end 747.03659375
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 747.71159375
transcript.pyannote[238].end 748.67346875
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 755.86221875
transcript.pyannote[239].end 758.20784375
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 758.20784375
transcript.pyannote[240].end 765.09284375
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 758.24159375
transcript.pyannote[241].end 759.01784375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 764.56971875
transcript.pyannote[242].end 769.15971875
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 765.16034375
transcript.pyannote[243].end 766.59471875
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 769.44659375
transcript.pyannote[244].end 774.59346875
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 774.20534375
transcript.pyannote[245].end 805.18784375
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 779.20034375
transcript.pyannote[246].end 779.43659375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 785.84909375
transcript.pyannote[247].end 787.97534375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 787.97534375
transcript.pyannote[248].end 788.36346875
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 789.00471875
transcript.pyannote[249].end 789.59534375
transcript.pyannote[250].speaker SPEAKER_05
transcript.pyannote[250].start 789.59534375
transcript.pyannote[250].end 789.96659375
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 789.96659375
transcript.pyannote[251].end 791.80596875
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 791.80596875
transcript.pyannote[252].end 791.97471875
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 791.97471875
transcript.pyannote[253].end 792.51471875
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 797.52659375
transcript.pyannote[254].end 800.02409375
transcript.pyannote[255].speaker SPEAKER_05
transcript.pyannote[255].start 800.02409375
transcript.pyannote[255].end 800.17596875
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 800.17596875
transcript.pyannote[256].end 800.93534375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 805.84596875
transcript.pyannote[257].end 809.22096875
transcript.pyannote[258].speaker SPEAKER_05
transcript.pyannote[258].start 809.20409375
transcript.pyannote[258].end 809.54159375
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 809.49096875
transcript.pyannote[259].end 811.33034375
transcript.pyannote[260].speaker SPEAKER_04
transcript.pyannote[260].start 811.63409375
transcript.pyannote[260].end 818.41784375
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 818.72159375
transcript.pyannote[261].end 818.73846875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 818.73846875
transcript.pyannote[262].end 822.97409375
transcript.pyannote[263].speaker SPEAKER_04
transcript.pyannote[263].start 822.97409375
transcript.pyannote[263].end 826.04534375
transcript.pyannote[264].speaker SPEAKER_04
transcript.pyannote[264].start 826.12971875
transcript.pyannote[264].end 832.27221875
transcript.pyannote[265].speaker SPEAKER_04
transcript.pyannote[265].start 832.54221875
transcript.pyannote[265].end 835.19159375
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 835.36034375
transcript.pyannote[266].end 850.31159375
transcript.pyannote[267].speaker SPEAKER_04
transcript.pyannote[267].start 850.54784375
transcript.pyannote[267].end 852.77534375
transcript.pyannote[268].speaker SPEAKER_04
transcript.pyannote[268].start 853.38284375
transcript.pyannote[268].end 854.44596875
transcript.pyannote[269].speaker SPEAKER_04
transcript.pyannote[269].start 855.25596875
transcript.pyannote[269].end 861.48284375
transcript.pyannote[270].speaker SPEAKER_04
transcript.pyannote[270].start 861.90471875
transcript.pyannote[270].end 862.61346875
transcript.pyannote[271].speaker SPEAKER_04
transcript.pyannote[271].start 863.45721875
transcript.pyannote[271].end 864.62159375
transcript.pyannote[272].speaker SPEAKER_04
transcript.pyannote[272].start 865.19534375
transcript.pyannote[272].end 875.86034375
transcript.pyannote[273].speaker SPEAKER_03
transcript.pyannote[273].start 871.38846875
transcript.pyannote[273].end 872.16471875
transcript.pyannote[274].speaker SPEAKER_03
transcript.pyannote[274].start 873.91971875
transcript.pyannote[274].end 875.75909375
transcript.pyannote[275].speaker SPEAKER_03
transcript.pyannote[275].start 875.86034375
transcript.pyannote[275].end 877.48034375
transcript.pyannote[276].speaker SPEAKER_03
transcript.pyannote[276].start 877.86846875
transcript.pyannote[276].end 884.73659375
transcript.pyannote[277].speaker SPEAKER_04
transcript.pyannote[277].start 885.20909375
transcript.pyannote[277].end 894.30471875
transcript.pyannote[278].speaker SPEAKER_03
transcript.pyannote[278].start 888.61784375
transcript.pyannote[278].end 890.05221875
transcript.pyannote[279].speaker SPEAKER_03
transcript.pyannote[279].start 893.93346875
transcript.pyannote[279].end 894.47346875
transcript.pyannote[280].speaker SPEAKER_05
transcript.pyannote[280].start 894.47346875
transcript.pyannote[280].end 894.60846875
transcript.pyannote[281].speaker SPEAKER_03
transcript.pyannote[281].start 894.60846875
transcript.pyannote[281].end 894.69284375
transcript.pyannote[282].speaker SPEAKER_05
transcript.pyannote[282].start 894.69284375
transcript.pyannote[282].end 894.84471875
transcript.pyannote[283].speaker SPEAKER_04
transcript.pyannote[283].start 895.40159375
transcript.pyannote[283].end 896.05971875
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 896.05971875
transcript.pyannote[284].end 896.97096875
transcript.pyannote[285].speaker SPEAKER_04
transcript.pyannote[285].start 896.97096875
transcript.pyannote[285].end 910.40346875
transcript.pyannote[286].speaker SPEAKER_04
transcript.pyannote[286].start 910.80846875
transcript.pyannote[286].end 911.88846875
transcript.pyannote[287].speaker SPEAKER_04
transcript.pyannote[287].start 912.63096875
transcript.pyannote[287].end 914.18346875
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 922.65471875
transcript.pyannote[288].end 923.14409375
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 934.51784375
transcript.pyannote[289].end 934.93971875
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 940.52534375
transcript.pyannote[290].end 941.58846875
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 942.29721875
transcript.pyannote[291].end 947.02221875
transcript.whisperx[0].start 0.091
transcript.whisperx[0].end 0.111
transcript.whisperx[0].text 卑詩
transcript.whisperx[1].start 10.417
transcript.whisperx[1].end 38.24
transcript.whisperx[1].text 葉文豪院長好早上聽你的報告你提到說現在發這1萬塊是希望特別條例趕快過可以讓全民享受到自己努力的經濟實力我覺得您這種態度就對了早上我也看到您很委屈的在澄清就是說你們發這1萬塊沒有可發可不發或者是說沒有說可發然後不發然後你在澄清你知道為什麼大家會有這種感覺嗎
transcript.whisperx[2].start 40.101
transcript.whisperx[2].end 68.315
transcript.whisperx[2].text 因為你一開始的時候的態度就跟剛剛我講的態度不一樣我們一開始是希望說政府不舉債我們用到需要的地方去那你講話的方式嘛我現在建議你嘛不要造成國人的誤會嘛因為你一開始就說一萬塊遙控飛機買了冰箱買了就沒啦好像這一萬塊大家沒什麼需要我們希望說國家需要的地方我們七砂成塔用在那個地方去還有就是你們執政黨的立委還有講說這個發一萬塊錢就是配合中共窮台啦
transcript.whisperx[3].start 69.255
transcript.whisperx[3].end 97.743
transcript.whisperx[3].text 認知作戰或統戰啊講得好像領這個一萬塊錢很不堪啊剛剛也有委員之意我們比賽再增高這也是有相關的啊我這只是建議啦齁如果一開始的時候其實大家採取比較正面的態度用討論的用促成的方式而不是一直批評我覺得我們是對國家價值不同啦對國家的價值認定不同就像您今天早上的態度讓國人趕快享受這種大家努力而來的經濟果實
transcript.whisperx[4].start 98.743
transcript.whisperx[4].end 117.937
transcript.whisperx[4].text 就很棒啊就是因為之前變來變去態度就前後變來變去大家才會產生因為我們已經決定要舉債了我們就可以花出去的比較多就是這樣子而已你講的跟我不同事情我講的是你的態度前後不一樣那你之前要舉債現在舉債不是一樣而且你變了很多其他的預算舉債也不是說
transcript.whisperx[5].start 120.358
transcript.whisperx[5].end 141.729
transcript.whisperx[5].text 舉債也不是說純粹是因為這個事情舉債啦我們在編任性條例跟預算之後我們是希望這筆錢4100億是不舉債的你有的東西跟舉債沒有關嘛你有的是講話的態度的問題嘛遙控飛機 冰箱我也很快的跟你確定一下幾個啦現在時程上面 因為既然要發了我覺得大家就會很期待
transcript.whisperx[6].start 142.669
transcript.whisperx[6].end 168.659
transcript.whisperx[6].text 執政上如果立法院十月中過去可以那個送出立法院那我有看你回答其他委員的回答做了很多先前作業然後這些東西可不可以給一個比較明確的日期月底感覺比較有困難嘛因為早上回答是比較有困難那現在大概什麼時候之前一定做到總算個目標不然早是講一個比較空洞的大家會比較一個月大概什麼時候
transcript.whisperx[7].start 169.992
transcript.whisperx[7].end 197.704
transcript.whisperx[7].text 11月中以前一定會發那是大院審理完成通過之後總統公告之後11個月假設10月中一定送出去的話你是11月中以前一定會發嗎我認為總統也好我們也會請總統能夠緊述公告他就生效生效一個月內就可以一個月所以我們數學很簡單數學10月中送出去就是11月底以前一定可以發
transcript.whisperx[8].start 198.644
transcript.whisperx[8].end 225.695
transcript.whisperx[8].text 這是確定的嘛但是如果說動作更快的話就可以更早嘛能快就快但是安全的措施我們會設想比較周延那個是細節我講的就是一個月嘛就是十月中嘛謝謝那大家就是至少十月中就可以這個期待然後第二個是發放的方式是不是還是按照之前講的就是有登記路障ATM領取郵局領取直接路障跟照冊發放不會再多了嘛
transcript.whisperx[9].start 226.195
transcript.whisperx[9].end 246.363
transcript.whisperx[9].text 本來就沒有再多然後在這個系統的設計上也不會變來變去我會這樣問是因為院長有時候也是變來變去一下說研議不領取的這個選項一下又說不用研議不領取選項當民間的團體來跟我們做這種意見的表達的時候我們總要說我們要研議一下有沒有實質上的可能你研議了多久
transcript.whisperx[10].start 247.538
transcript.whisperx[10].end 264.471
transcript.whisperx[10].text 研議完全不影響這個程序啊我們9月11號你後來是研議之後是覺得什麼因素所以不做我們認為這個對各自的保護有我們現在還沒有辦法想像上的危險所以我們就停下來其實你當下應該就可以知道不用去設這個不領取
transcript.whisperx[11].start 265.952
transcript.whisperx[11].end 292.377
transcript.whisperx[11].text 因為其實你們到最後發放完之後都可以確定有多少人是不領取就以2023年發放最後是有7萬人不領取我怎麼知道因為最後就算得出來所以你去偵測一個不領取這就多此一舉因為院長您是行政院長講話都是會讓人家覺得這個會往那個方向去院長說要研議不領取大家就覺得會不會到時候真的會出現一個不領取的選項
transcript.whisperx[12].start 293.646
transcript.whisperx[12].end 309.697
transcript.whisperx[12].text 但是實際上你們兩個要搖頭所以根本不可能嘛延誼的過程完全沒有延後任何的時間院長用詞譴制方面可能要稍微留意一下因為你講一句話國人就討論了國人就會覺得哇賽連這個都要設不理取委員很多建議我們也都是延誼啊
transcript.whisperx[13].start 311.359
transcript.whisperx[13].end 334.741
transcript.whisperx[13].text 但是我們建議很多都有建設性謝謝委員再來我想問一下預算的問題順便問一下因為像這個光復箱剛剛講說有五種領取方式因為光復箱那邊有的證件被沖走了有的ATM也被沖走ATM也沒有了請問你們大概會用什麼方式去發放
transcript.whisperx[14].start 337.628
transcript.whisperx[14].end 364.165
transcript.whisperx[14].text 基本上我們還是維持這樣的一個方式因為整個發放的時間大概有六個月那當然是先要協助光復鄉的國人們能夠盡快把相關的證件能夠補辦起來因為除了這個領一萬塊還有其他也需要使用那我想各部會都在協助他們不管是健保卡身份證等等都在協助那如果在那個特別有需要的話我們也可以另外考量是不是用其他專案的方式專案方式是
transcript.whisperx[15].start 364.805
transcript.whisperx[15].end 392.307
transcript.whisperx[15].text 對 但是目前那個六個月時間其實是夠長的我想那個時候證件應該你們會第一個就是先讓他們想辦法幫助他們把證件補齊然後再來ATM的這些設施趕快恢復但如果真的有特殊狀況的話用專案來處理我們再來做專案處理我們先用一站式的服務健保卡 身分證 郵局 還有農會如果需要這個證件我們用一站式的服務而且現在我們據你所知護證所已經恢復它的基本功能好 謝謝
transcript.whisperx[16].start 393.167
transcript.whisperx[16].end 397.951
transcript.whisperx[16].text 再來我問一下有關於經濟韌性預算現在產業支持是規劃了780億請問一下780億是根據多少關稅評估出來的
transcript.whisperx[17].start 406.721
transcript.whisperx[17].end 422.571
transcript.whisperx[17].text 支持產業的部分因為你現在用對等關稅32%或者是20%你所評估出來的預算產業支持的預算當初應該是不一樣嘛那你780億是根據什麼依據部長來詳細說明在4月4號我們對產業支持的方案出來440億的時候我們是用高推估30%是幾%780億是根據幾%估出來大致上也是差不多30左右
transcript.whisperx[18].start 435.026
transcript.whisperx[18].end 443.071
transcript.whisperx[18].text 是用30%就是關稅30%所以換句話說因為現在關稅是20%加N嘛如果之後現在繼續談談到後來假設20%可以降下來就不會花到781這麼多是這個意思嗎
transcript.whisperx[19].start 454.958
transcript.whisperx[19].end 469.291
transcript.whisperx[19].text 也不一定 因為談的過程當中我們可能也會有一些讓利所以你當初是比較高估嗎因為政府一直告訴我們說20%加N是暫時性關稅所以理論上按照政府講話邏輯應該關稅會降應該不會往上增到30%因為包括委員 因為國際情勢的改變不單單只是關稅還有什麼
transcript.whisperx[20].start 477.678
transcript.whisperx[20].end 494.429
transcript.whisperx[20].text 匯率或其他的問題所以這是一個粗估切巴士是一個粗估最後用多少不知道因為剛剛部長也講了國際情勢改變有可能會花到更多你剛剛不確定性很高我這邊提醒幾個我想請教一下第一個
transcript.whisperx[21].start 495.816
transcript.whisperx[21].end 513.791
transcript.whisperx[21].text 因為美方傳出來消息是希望我們晶片是五五分但我們政府已經拒絕了然後我們提出來一個方案是說擴大去美國投資可以用G2G的方式然後類似成立在美國成立科學園區這個事情是確實的嗎
transcript.whisperx[22].start 516.878
transcript.whisperx[22].end 530.474
transcript.whisperx[22].text 巴爾委員是這樣就是說台灣產業的成功它有一個型態就是一個群聚 聚落 Cluster我知道 我就確認一下因為我們過去來講我們這個群聚是不是確定就是我沒有提這個方案
transcript.whisperx[23].start 531.414
transcript.whisperx[23].end 546.497
transcript.whisperx[23].text 就是鼓勵我們的企業整合然後去那邊設科學園區是不是有提出這樣的方案跟美方表達就是產業要成功的話一定要形成一個聚落
transcript.whisperx[24].start 547.217
transcript.whisperx[24].end 571.981
transcript.whisperx[24].text 這個我知道啦我是問有沒有這件事嘛有或還是沒有嘛那園區是一個形態有嘛那就是有嘛為什麼有或沒有要講那麼一大堆不要拖時間啦因為我們有時間有限那我是想問說那你有考慮到整個產業過去之後因為他還要帶那個產業鏈嘛然後很多企業會過去假設以科學園區的規模的話那那麼多公司他的投資資本是有限的
transcript.whisperx[25].start 572.541
transcript.whisperx[25].end 597.816
transcript.whisperx[25].text 過去投資多一點在台灣投資就會少一點可能會造成台灣產業空洞化經濟部有沒有評估過這個事情不會 我們已經先隸屬台灣佈局全球所以隸屬台灣當然口號是這樣可是資本就是這樣他的資本過去之後他能夠等一下 我還沒有講等一下 等一下還沒有講他的資本就是這麼多他投資美國資本比較多當然投資台灣就會少一點
transcript.whisperx[26].start 598.916
transcript.whisperx[26].end 626.224
transcript.whisperx[26].text 因為你現在沒有要用到政府的資源嘛你現在主要都是用民間資源嗎報告委員就是說如果他那邊有訂單形成可以有經濟規模他當然會過去但是有一些小的企業他沒有辦法他可能在只能取一地而已所以我們會在這種情況下我們會要求他的供應鏈裡面的一些材料就在台灣做然後供應給他那沒有辦法形成科學園區的規模啊
transcript.whisperx[27].start 627.199
transcript.whisperx[27].end 655.08
transcript.whisperx[27].text 沒有 他可以跟我們形成一個很好的我的問題就是因為你們跟美方講說要在那邊用G2地方成立一個科學園區的規模我是擔心說投資資本移過去之後會造成產業空洞化你沒有回答我的問題我說不會啊第二個 曾經你們有一個方案是說要跟美國鼓勵我們的企業跟美國去買農產品大概四年要一百億美金對吧 這是有的
transcript.whisperx[28].start 655.919
transcript.whisperx[28].end 674.634
transcript.whisperx[28].text 我們的工協會跟一些主要的產業然後也不會用到納稅人的錢但是這個可能也會造成一個問題因為我看到一些企業像捕風或者是台糖他們的說法是說他們也願意配合企業可是他們以前在買東西的時候因為可以跟各國去買那現在如果說要擴大跟美國投資變成規格標
transcript.whisperx[29].start 676.736
transcript.whisperx[29].end 693.753
transcript.whisperx[29].text 那勢必會提高成本我想他有三個思考再請部長一個就是我們的進口需要的我們從各方來買我講的是企業直接的回復啦我提醒一下啦我還沒講完你們都一直打斷我很奇怪院長帶頭部長他們這麼害怕我講喔
transcript.whisperx[30].start 696.716
transcript.whisperx[30].end 709.326
transcript.whisperx[30].text 不用害怕我都還沒一句話都還沒論述完你就一直打岔這樣我很難問問題啦好不好這個像捕蜂還有像台南他們的說法他說如果形成規格標的話那成本會上揚嘛那現在就是
transcript.whisperx[31].start 710.54
transcript.whisperx[31].end 728.53
transcript.whisperx[31].text 羊毛住在羊身上如果他們成本上揚那物價勢必會往上攀升會影響到物價那政府這部分有因應嗎是 我可以回答嗎就是說現在的狀況是這樣美國我們需要它的黃小玉就是黃豆 小麥等等一些情況那那個是我們
transcript.whisperx[32].start 729.631
transcript.whisperx[32].end 741.999
transcript.whisperx[32].text 食料 我們養豬的飼料部長你被針對問題回答我剛講說捕蜂跟台糖他們提出來的講法嘛你去講到黃小玉幹嘛捕蜂是買黃小玉嗎
transcript.whisperx[33].start 744.193
transcript.whisperx[33].end 769.043
transcript.whisperx[33].text 我跟委員報告因為這是農業部在協助的第一個部分 整個的農防團裡面你剛才講的浦芳就是他們浦芳的飼料工會會不會造成物價上漲不會 聯合採購可能會降低它的進口成本所以不會造成物價上漲對 它反而會降低進口成本所以我三個原則講一下就是一個我們進口需要的
transcript.whisperx[34].start 769.543
transcript.whisperx[34].end 795.19
transcript.whisperx[34].text 一個是畜牧業他買飼料需要的第三個是要保護消費者的權利這三個原則這是企業的邏輯是說以前他有需要他可以跟各國去買現在如果是配合政府擴大只跟單一國家買那他認為成本會提高嗎不會 這個是聯合採購的優越那你覺得不會你要講一個跟他們溝通因為如果成本提高我擔心的是物價會提高
transcript.whisperx[35].start 796.03
transcript.whisperx[35].end 813.593
transcript.whisperx[35].text 那你如果認為不會那你們可以跟企業講然後再來因為沒有很多時間我希望不要一直打岔我想問一下預算的問題明年總預算送過來是350億比今年的總預算還高因為今年最後決算是
transcript.whisperx[36].start 815.273
transcript.whisperx[36].end 834.807
transcript.whisperx[36].text 兩兆九千多億嘛明年的預算又變多了如果加上追加預算的話明年比今年只會多222億反正明年有變多第一個明年變多第二個是中央要給地方的錢一直在砍嘛比如說我是新北市你們給我們新北市的捷運砍了大概九十億明年就砍了九十億
transcript.whisperx[37].start 835.507
transcript.whisperx[37].end 860.437
transcript.whisperx[37].text 所以中央的預算膨脹然後給地方錢又變少情況之下明年中央的預算其實是可支用的是變比較多啊多很多現在按照你們的規劃那我現在是有兩個問題第一個因為我們今天討論的是那個韌性韌性的部分有很多預算看起來好像不知道為什麼會編在特別預算裡比如說像這一個是要辦理強化獨居老人關懷服務計畫這個東西
transcript.whisperx[38].start 863.793
transcript.whisperx[38].end 884.049
transcript.whisperx[38].text 這個東西當然我覺得要做可是實際上你這個跟年度預算又很像請問一下明年年度預算有沒有編類似強化獨居老人關懷計畫的預算沒有編這個項目因為我們考慮到說關稅談判結果也許會造成一些國內的衝擊所以這些獨居老人的弱勢要加強照顧所以編在這個裡面
transcript.whisperx[39].start 885.642
transcript.whisperx[39].end 914.083
transcript.whisperx[39].text 那你年度預算裡面有沒有編強化的獨居所以年度預算平常就沒有在照顧獨居老人都沒有在關懷獨居老人沒有重疊沒有單獨這一項 有一般的社會福利那第二個我想問一下因為現在地方政府常常感覺開盲盒啦譬如說我剛講的捷運他去申請跟中央申請補助的時候中央忽然講說對不起明年我少給你72%他說我現在還知道那為什麼不能一次跟地方
transcript.whisperx[40].start 922.679
transcript.whisperx[40].end 944.558
transcript.whisperx[40].text 好 謝謝好 謝謝葉仁智委員資訊也謝謝卓院長 相關部會首長貝馨 謝謝