iVOD / 165096

Field Value
IVOD_ID 165096
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165096
日期 2025-11-05
會議資料.會議代碼 委員會-11-4-20-6
會議資料.會議代碼:str 第11屆第4會期財政委員會第6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 6
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6次全體委員會議
影片種類 Clip
開始時間 2025-11-05T12:02:41+08:00
結束時間 2025-11-05T12:13:05+08:00
影片長度 00:10:24
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0bb7d6ea348ff1d2ff81e248853895a4e93813deec41dbcaac005464e7b8fa97eebc5b1f2304e56a5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 12:02:41 - 12:13:05
會議時間 2025-11-05T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政委員會第6次全體委員會議(事由:審查「使用牌照稅法」29案:(僅詢答) 一、行政院函請審議、本院委員邱鎮軍等19人、委員陳超明等18人、委員羅明才等20人、委員廖偉翔等19人、委員楊瓊瓔等27人、委員許宇甄等22人、委員邱若華等17人、委員林俊憲等26人、委員王鴻薇等19人、委員李彥秀等16人、委員蘇清泉等18人、委員徐欣瑩等24人、委員郭昱晴等19人、委員王美惠等19人、委員李坤城等18人、委員羅廷瑋等17人、委員郭國文等18人、委員吳沛憶等17人、委員葛如鈞等16人、委員沈發惠等17人、委員林思銘等22人、委員賴士葆等25人、委員黃健豪等20人分別擬具「使用牌照稅法第五條條文修正草案」等24案。【後2案如經院會復議,本次會議不予審查】 二、本院台灣民眾黨黨團擬具「使用牌照稅法第五條及第七條條文修正草案」案。 三、本院委員廖先翔等17人擬具「使用牌照稅法第五條及第三十八條條文修正草案」案。 四、本院委員牛煦庭等17人、委員鍾佳濱等16人分別擬具「使用牌照稅法第七條條文修正草案」等2案。【後1案如經院會復議,本次會議不予審查】 五、本院委員廖偉翔等17人擬具「使用牌照稅法第七條及第三十八條條文修正草案」案。 【11月5日及6日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 2.00534375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 9.41346875
transcript.pyannote[1].end 11.18534375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 11.48909375
transcript.pyannote[2].end 12.48471875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 16.01159375
transcript.pyannote[3].end 16.63596875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 17.58096875
transcript.pyannote[4].end 24.24659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 24.55034375
transcript.pyannote[5].end 27.53721875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 28.36409375
transcript.pyannote[6].end 36.58221875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 37.00409375
transcript.pyannote[7].end 53.65971875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 54.04784375
transcript.pyannote[8].end 65.74221875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 66.88971875
transcript.pyannote[9].end 75.93471875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 76.37346875
transcript.pyannote[10].end 97.65284375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 98.07471875
transcript.pyannote[11].end 105.90471875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 106.95096875
transcript.pyannote[12].end 116.75534375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 115.10159375
transcript.pyannote[13].end 120.55221875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 120.78846875
transcript.pyannote[14].end 134.55846875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 135.35159375
transcript.pyannote[15].end 145.74659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 146.55659375
transcript.pyannote[16].end 154.03221875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 152.78346875
transcript.pyannote[17].end 154.69034375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 154.31909375
transcript.pyannote[18].end 163.87034375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 156.10784375
transcript.pyannote[19].end 157.98096875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 159.22971875
transcript.pyannote[20].end 162.52034375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 162.68909375
transcript.pyannote[21].end 165.00096875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 165.87846875
transcript.pyannote[22].end 169.18596875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 169.87784375
transcript.pyannote[23].end 170.58659375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 171.22784375
transcript.pyannote[24].end 172.34159375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 172.91534375
transcript.pyannote[25].end 174.36659375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 174.97409375
transcript.pyannote[26].end 177.37034375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 177.48846875
transcript.pyannote[27].end 179.71596875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 179.96909375
transcript.pyannote[28].end 185.85846875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 185.95971875
transcript.pyannote[29].end 189.97596875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 191.32596875
transcript.pyannote[30].end 192.96284375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 193.26659375
transcript.pyannote[31].end 196.81034375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 197.43471875
transcript.pyannote[32].end 198.90284375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 201.31596875
transcript.pyannote[33].end 206.37846875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 206.24346875
transcript.pyannote[34].end 213.63471875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 214.29284375
transcript.pyannote[35].end 220.84034375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 221.92034375
transcript.pyannote[36].end 223.94534375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 225.88596875
transcript.pyannote[37].end 229.07534375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 229.73346875
transcript.pyannote[38].end 232.95659375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 235.43721875
transcript.pyannote[39].end 237.24284375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 241.44471875
transcript.pyannote[40].end 245.69721875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 246.27096875
transcript.pyannote[41].end 247.57034375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 248.00909375
transcript.pyannote[42].end 254.77596875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 248.93721875
transcript.pyannote[43].end 250.08471875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 250.97909375
transcript.pyannote[44].end 256.53096875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 256.53096875
transcript.pyannote[45].end 257.02034375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 256.63221875
transcript.pyannote[46].end 256.83471875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 257.02034375
transcript.pyannote[47].end 257.03721875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 257.05409375
transcript.pyannote[48].end 258.35346875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 258.55596875
transcript.pyannote[49].end 259.43346875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 261.03659375
transcript.pyannote[50].end 264.66471875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 265.49159375
transcript.pyannote[51].end 267.07784375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 268.36034375
transcript.pyannote[52].end 275.24534375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 275.36346875
transcript.pyannote[53].end 278.94096875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 279.53159375
transcript.pyannote[54].end 281.30346875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 281.33721875
transcript.pyannote[55].end 284.77971875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 284.93159375
transcript.pyannote[56].end 287.42909375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 287.07471875
transcript.pyannote[57].end 287.63159375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 287.85096875
transcript.pyannote[58].end 288.20534375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 288.20534375
transcript.pyannote[59].end 292.66034375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 292.66034375
transcript.pyannote[60].end 296.64284375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 296.27159375
transcript.pyannote[61].end 297.48659375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 297.23346875
transcript.pyannote[62].end 297.73971875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 298.26284375
transcript.pyannote[63].end 299.49471875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 300.64221875
transcript.pyannote[64].end 303.56159375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 300.82784375
transcript.pyannote[65].end 301.28346875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 305.21534375
transcript.pyannote[66].end 306.78471875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 307.51034375
transcript.pyannote[67].end 309.23159375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 309.70409375
transcript.pyannote[68].end 315.25596875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 315.62721875
transcript.pyannote[69].end 317.82096875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 318.51284375
transcript.pyannote[70].end 320.77409375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 321.02721875
transcript.pyannote[71].end 323.69346875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 324.40221875
transcript.pyannote[72].end 326.49471875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 327.49034375
transcript.pyannote[73].end 329.32971875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 329.83596875
transcript.pyannote[74].end 331.35471875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 332.53596875
transcript.pyannote[75].end 334.32471875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 335.79284375
transcript.pyannote[76].end 338.27346875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 341.56409375
transcript.pyannote[77].end 346.91346875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 348.31409375
transcript.pyannote[78].end 348.85409375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 349.96784375
transcript.pyannote[79].end 350.67659375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 351.04784375
transcript.pyannote[80].end 358.74284375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 354.37221875
transcript.pyannote[81].end 354.74346875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 356.59971875
transcript.pyannote[82].end 364.14284375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 359.33346875
transcript.pyannote[83].end 359.48534375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 359.53596875
transcript.pyannote[84].end 359.55284375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 365.76284375
transcript.pyannote[85].end 367.26471875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 367.29846875
transcript.pyannote[86].end 379.76909375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 376.83284375
transcript.pyannote[87].end 377.38971875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 377.94659375
transcript.pyannote[88].end 381.89534375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 380.10659375
transcript.pyannote[89].end 380.54534375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 382.58721875
transcript.pyannote[90].end 385.20284375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 385.20284375
transcript.pyannote[91].end 385.62471875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 385.62471875
transcript.pyannote[92].end 386.11409375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 386.56971875
transcript.pyannote[93].end 388.27409375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 387.88596875
transcript.pyannote[94].end 394.46721875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 395.49659375
transcript.pyannote[95].end 401.58846875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 398.63534375
transcript.pyannote[96].end 399.10784375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 401.08221875
transcript.pyannote[97].end 401.63909375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 401.63909375
transcript.pyannote[98].end 401.68971875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 401.74034375
transcript.pyannote[99].end 402.17909375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 402.26346875
transcript.pyannote[100].end 404.05221875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 404.27159375
transcript.pyannote[101].end 407.96721875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 408.08534375
transcript.pyannote[102].end 411.05534375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 410.95409375
transcript.pyannote[103].end 412.20284375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 412.70909375
transcript.pyannote[104].end 413.26596875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 413.55284375
transcript.pyannote[105].end 414.66659375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 415.30784375
transcript.pyannote[106].end 417.73784375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 417.55221875
transcript.pyannote[107].end 418.58159375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 418.68284375
transcript.pyannote[108].end 425.95596875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 426.47909375
transcript.pyannote[109].end 428.43659375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 428.85846875
transcript.pyannote[110].end 430.63034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 431.33909375
transcript.pyannote[111].end 433.34721875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 434.17409375
transcript.pyannote[112].end 435.23721875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 435.33846875
transcript.pyannote[113].end 437.34659375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 437.80221875
transcript.pyannote[114].end 439.60784375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 440.28284375
transcript.pyannote[115].end 441.29534375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 442.27409375
transcript.pyannote[116].end 443.55659375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 444.26534375
transcript.pyannote[117].end 454.72784375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 455.47034375
transcript.pyannote[118].end 457.81596875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 458.50784375
transcript.pyannote[119].end 459.94221875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 460.87034375
transcript.pyannote[120].end 462.57471875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 463.21596875
transcript.pyannote[121].end 465.57846875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 466.06784375
transcript.pyannote[122].end 468.37971875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 469.24034375
transcript.pyannote[123].end 471.14721875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 474.15096875
transcript.pyannote[124].end 476.07471875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 477.28971875
transcript.pyannote[125].end 479.88846875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 481.12034375
transcript.pyannote[126].end 483.02721875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 484.46159375
transcript.pyannote[127].end 485.71034375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 487.73534375
transcript.pyannote[128].end 490.33409375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 493.64159375
transcript.pyannote[129].end 495.83534375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 501.60659375
transcript.pyannote[130].end 503.78346875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 508.06971875
transcript.pyannote[131].end 514.09409375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 515.05596875
transcript.pyannote[132].end 517.18221875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 517.87409375
transcript.pyannote[133].end 520.30409375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 520.75971875
transcript.pyannote[134].end 524.11784375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 524.60721875
transcript.pyannote[135].end 526.39596875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 528.37034375
transcript.pyannote[136].end 530.68221875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 531.13784375
transcript.pyannote[137].end 532.30221875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 532.80846875
transcript.pyannote[138].end 534.88409375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 536.03159375
transcript.pyannote[139].end 538.68096875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 538.96784375
transcript.pyannote[140].end 540.60471875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 541.85346875
transcript.pyannote[141].end 543.59159375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 544.40159375
transcript.pyannote[142].end 547.81034375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 548.29971875
transcript.pyannote[143].end 551.94471875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 552.87284375
transcript.pyannote[144].end 561.17534375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 561.34409375
transcript.pyannote[145].end 565.09034375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 565.30971875
transcript.pyannote[146].end 566.84534375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 569.24159375
transcript.pyannote[147].end 572.31284375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 572.71784375
transcript.pyannote[148].end 573.79784375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 576.26159375
transcript.pyannote[149].end 578.20221875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 580.95284375
transcript.pyannote[150].end 582.53909375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 585.52596875
transcript.pyannote[151].end 588.85034375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 589.67721875
transcript.pyannote[152].end 592.07346875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 592.71471875
transcript.pyannote[153].end 596.05596875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 596.17409375
transcript.pyannote[154].end 604.47659375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 606.56909375
transcript.pyannote[155].end 608.20596875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 608.86409375
transcript.pyannote[156].end 611.71596875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 611.32784375
transcript.pyannote[157].end 613.08284375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 612.08721875
transcript.pyannote[158].end 612.10409375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 613.65659375
transcript.pyannote[159].end 615.27659375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 616.76159375
transcript.pyannote[160].end 616.96409375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 618.76971875
transcript.pyannote[161].end 620.32221875
transcript.whisperx[0].start 0.029
transcript.whisperx[0].end 1.73
transcript.whisperx[0].text 2023年夏天在凱道上面有一個非常重要的公民活動那場活動發起的人我是其中之一
transcript.whisperx[1].start 28.95
transcript.whisperx[1].end 51.518
transcript.whisperx[1].text 2023年夏天頂著酷暑那個時候在凱道上面的年輕人提出了兩個重要的訴求一個是司法正義司法正義當然過去這幾年成為笑話第二個是居住正義居住正義當年我們大力的在倡導囤房稅跟空屋稅政府說他聽到了然後推出了所謂的囤房稅2.0
transcript.whisperx[2].start 54.56
transcript.whisperx[2].end 65.514
transcript.whisperx[2].text 這個囤房稅2.0當初我看了這個版本的以後我就曾經預言過這個囤房稅2.0你們所推出來財政部的版本是沒有辦法達成成效的
transcript.whisperx[3].start 66.923
transcript.whisperx[3].end 87.191
transcript.whisperx[3].text 沒有辦法達成成效這個是我當年的預言這個公開的資料通通都有這不是在唱衰政府這個是提出事情不過那個時候行政院還是堅持要通過行政院的版本行政院的版本那個時候民進黨的委員占多數也順利的三讀通過了
transcript.whisperx[4].start 88.331
transcript.whisperx[4].end 105.321
transcript.whisperx[4].text 三讀通過了在民主國家裡面我們在國會當然是福音多數的決定但多數的決定也要接受事後的檢視囤房稅2.0部長你覺得有達成釋出空屋減少囤房的政策目標嗎
transcript.whisperx[5].start 107.028
transcript.whisperx[5].end 130.333
transcript.whisperx[5].text 跟委員報告這次房屋稅2.0這個部分我們有幾個基礎我想還是要跟委員再報告第一個原來是縣市歸戶不好意思我們是全國歸戶我那個因為質詢的時間有限我不需要你再告訴我你們規範了什麼內容你們規範的內容我都很清楚我現在問的是成效的問題屯房稅2.0你們說那個時候有報告空屋稅在裡面我現在的問題很簡單對於釋出空屋
transcript.whisperx[6].start 135.67
transcript.whisperx[6].end 145.064
transcript.whisperx[6].text 釋出空屋沒有人住的房子房子是拿來住的房子不是拿來炒的也不是拿來囤的對釋出空屋這樣的政策目標有達成嗎
transcript.whisperx[7].start 146.881
transcript.whisperx[7].end 162.508
transcript.whisperx[7].text 因為今年是第一年實施到五月底為止目前的相關的數據我們一直在統計當中統計以後的結果我們要去做回饋看看統計以後的結果目前還在統計中目前還在統計我先秀給你看來你說你還要在統計當中你們回去慢慢統計空污率9.79過去六年最高
transcript.whisperx[8].start 175.289
transcript.whisperx[8].end 198.525
transcript.whisperx[8].text 囤房稅2.03讀後空污率持續上升我完全都是按照官方的資料我完全都是按照官方的資料這個是NGO團體合作大家做出來的結果NGO做得出來我們的財政部現在為了閃躲問題回去還要統計喔還是他做的數字不對
transcript.whisperx[9].start 201.656
transcript.whisperx[9].end 228.724
transcript.whisperx[9].text 這個部分我們目前正在統計當中我們按照個別的狀況來做分別的統計一樣在講空話嘛所以我具體的請教你嘛你看上面啊全部都是官方公佈的數字啊全部都是官方公佈的數字我現在告訴你啊你回你迴避問題閃躲問題說你要回去研究NG又把數字都亮出來啦屯房村2.03度通過以後空污的數量
transcript.whisperx[10].start 229.955
transcript.whisperx[10].end 259.145
transcript.whisperx[10].text 與空污率持續的上升啊這個數字不對嗎有達成政策效果嗎第二個沒關係啊你們回去統計要多久一個禮拜夠不夠還是要再統計一年不會我覺得一個禮拜夠不夠我們一個禮拜以內一個禮拜之內把財政部的數字啊可以對把財政部的數字交出來可不可以可以可以好第二個新清安
transcript.whisperx[11].start 261.312
transcript.whisperx[11].end 278.528
transcript.whisperx[11].text 兩任行政院長大力宣傳的新青安財政部覺得成效如何青安確實幫助了沒有房屋的青年朋友們購得的房屋這個部分確實有它的成效是幫助他們還是讓他們陷入更深的深淵
transcript.whisperx[12].start 279.894
transcript.whisperx[12].end 305.56
transcript.whisperx[12].text 我想這個部分新青安上路以後房價指數漲多少你知不知道房價上漲有諸多的因素我現在只問你新青安上路以後房價指數漲多少你知不知道就我所知大概有10%左右12.3%我們在許諾年輕人居住正義的時候要讓他買得到買得起
transcript.whisperx[13].start 307.577
transcript.whisperx[13].end 334.017
transcript.whisperx[13].text 要讓他租得到租得起所以過去大家在關注的是什麼大家在關注的就是空屋有沒有釋出來是不是繼續有囤房的現象房價是不是繼續攀高房價所得比是不是繼續惡化這個才是讓人民特別是我們的年輕世代最深刻的感受這是他們最深刻的感受
transcript.whisperx[14].start 335.834
transcript.whisperx[14].end 363.643
transcript.whisperx[14].text 不是在聽你部長上來造本宣科啊房價指數上漲12.3%部長你覺得有實現居住正義的理念嗎有嗎委員報告居住正義它採取的手段有多種是新青安是其中所以我才問你嘛從新青安你認為是真的在幫助他們還是推他們進入更痛苦的深淵
transcript.whisperx[15].start 365.799
transcript.whisperx[15].end 394.173
transcript.whisperx[15].text 我請教你這個問題嘛購屋者他就從財務上來去做考量那銀行在貸款的時候做貸錢的審核以及貸後的管理都需要做的那包含他的所得支出的那銀行的貸後管理跟房價的上漲有什麼關係貸後的管理就是他要做自助使用而且他必須要所以你的意思是說現在因為銀行貸後管理不好所以有很多新清安被拿來炒房
transcript.whisperx[16].start 395.758
transcript.whisperx[16].end 411.928
transcript.whisperx[16].text 貸後管理他是讓他一定要做自住使用而且不能夠出租也不能夠做人頭那你覺得有達到這個目標嗎目前來說銀行都在做這方面的清理所以我問你你覺得有達到這個目標嗎您的目標是指
transcript.whisperx[17].start 412.728
transcript.whisperx[17].end 441.025
transcript.whisperx[17].text 不是啊 你剛說代後管理很重要 要拿來自助嘛那我就問你嘛 現實上有落實嗎因為你一直在迴避一個最根本的問題啊我們的政府推出了各式各樣的政策有囤房稅2.0結果呢 結果空汙率持續上升空汙數持續上升我當年2023年就講了你們推的沒有用
transcript.whisperx[18].start 442.555
transcript.whisperx[18].end 470.548
transcript.whisperx[18].text 當然要檢驗客觀看出來的數字就是這樣星期二2.0要協助購屋者很多年輕人現在在問的事情是什麼是真的在協助他們還是更多的錢到了不動產市場房價越炒越高他們的主觀感受我當然要用客觀數字來呈現呈現出來的結果就是這個樣子他們的主觀感受沒有錯
transcript.whisperx[19].start 474.161
transcript.whisperx[19].end 489.946
transcript.whisperx[19].text 他們要看的不是財政部啊一樣照本宣科講的那個內容大家要看的是實際的效果到底有沒有效果讓我們變得比較好還是讓我們變得比較不好政府推薦車的目的不就在這裡嗎是要聽你們站在那邊照本宣科嗎
transcript.whisperx[20].start 508.103
transcript.whisperx[20].end 534.606
transcript.whisperx[20].text 你們到目前為止啊 針對新興安上路到現在因為 卓榮泰自己對社會講要用其他的方式來處理啊那我聽了以後我就覺得很有意思啊如果本來做得很好幹嘛用其他的方式你就繼續這樣幹就好啦連卓榮泰自己都知道有問題啊這才要修正嘛才要用其他的方式來處理嘛
transcript.whisperx[21].start 536.089
transcript.whisperx[21].end 551.031
transcript.whisperx[21].text 院會質詢的時候也有委員問他你新清安要繼續搞嗎他看起來是沒有要繼續搞啦因為他知道問題嚴重啦他說要用其他的方式啊財政部會建議行政院繼續搞新清安嗎 會嗎
transcript.whisperx[22].start 553.155
transcript.whisperx[22].end 566.584
transcript.whisperx[22].text 跟委員報告新親愛目前指引狀況是要到115年7月31號當然在時間戒指之前我們會重新再檢討 對不用等到時間戒指之前啦現在效應都出來了啦現在效應都出來了有多少年輕人因此墜入了更深更重的負擔政府的承諾根本是在畫大餅這就是你們制度的成效
transcript.whisperx[23].start 585.84
transcript.whisperx[23].end 615.127
transcript.whisperx[23].text 財政部如果覺得我說的不對 那沒有關係啊拿出具體的數字來反駁我啊拿出具體的數字來告訴全國的年輕人啊我們的政策方向正確啊我們做得非常的棒啊我財政部部長一定會告訴卓榮泰這件事情一定要繼續幹你會給卓榮泰這樣的建議嗎我想這個部分我們會繼續檢討 慢慢研議我已經知道你要說什麼了啦
transcript.whisperx[24].start 618.84
transcript.whisperx[24].end 619.443
transcript.whisperx[24].text 好 我們謝謝黃國昌委員