iVOD / 162650

Field Value
IVOD_ID 162650
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162650
日期 2025-06-18
會議資料.會議代碼 委員會-11-3-15-26
會議資料.會議代碼:str 第11屆第3會期內政委員會第26次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 26
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第3會期內政委員會第26次全體委員會議
影片種類 Clip
開始時間 2025-06-18T12:35:48+08:00
結束時間 2025-06-18T12:44:22+08:00
影片長度 00:08:34
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5617cf280bc2552a5ee316818fb2316e0c7c4ba622572b97a48dd392130a673697002103209a870d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 12:35:48 - 12:44:22
會議時間 2025-06-18T09:00:00+08:00
會議名稱 立法院第11屆第3會期內政委員會第26次全體委員會議(事由:一、邀請內政部部長、行政院消費者保護處處長就「公寓大廈公設點交爭議及其處理與預防作為」進行專題報告,並備質詢。二、審查「住宅法」修正草案等38案,詳見議事日程。【進行專題報告及詢答,並宣讀住宅法第(二十一)案至第(三十八)案提案條文,第(三十八)案如經院會復議則不予審查。】【6月18日及19日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 17.51346875
transcript.pyannote[0].end 18.28971875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 18.54284375
transcript.pyannote[1].end 20.73659375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 22.00221875
transcript.pyannote[2].end 23.62221875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 25.41096875
transcript.pyannote[3].end 25.69784375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 26.08596875
transcript.pyannote[4].end 28.97159375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 31.36784375
transcript.pyannote[5].end 33.24096875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 33.74721875
transcript.pyannote[6].end 34.11846875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 34.59096875
transcript.pyannote[7].end 36.17721875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 37.71284375
transcript.pyannote[8].end 38.55659375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 38.84346875
transcript.pyannote[9].end 39.26534375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 39.78846875
transcript.pyannote[10].end 41.00346875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 41.17221875
transcript.pyannote[11].end 41.18909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 41.18909375
transcript.pyannote[12].end 41.44221875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 42.23534375
transcript.pyannote[13].end 50.84159375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 42.28596875
transcript.pyannote[14].end 43.24784375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 45.69471875
transcript.pyannote[15].end 48.29346875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 50.84159375
transcript.pyannote[16].end 50.85846875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 50.85846875
transcript.pyannote[17].end 54.25034375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 50.87534375
transcript.pyannote[18].end 50.92596875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 54.46971875
transcript.pyannote[19].end 55.78596875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 56.52846875
transcript.pyannote[20].end 60.59534375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 60.59534375
transcript.pyannote[21].end 60.79784375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 60.79784375
transcript.pyannote[22].end 69.03284375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 69.38721875
transcript.pyannote[23].end 72.03659375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 73.08284375
transcript.pyannote[24].end 75.20909375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 75.95159375
transcript.pyannote[25].end 77.43659375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 78.46596875
transcript.pyannote[26].end 80.62596875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 81.45284375
transcript.pyannote[27].end 83.54534375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 82.98846875
transcript.pyannote[28].end 83.64659375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 84.11909375
transcript.pyannote[29].end 84.84471875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 85.28346875
transcript.pyannote[30].end 85.30034375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 85.30034375
transcript.pyannote[31].end 85.63784375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 85.73909375
transcript.pyannote[32].end 86.78534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 86.85284375
transcript.pyannote[33].end 95.37471875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 89.36721875
transcript.pyannote[34].end 89.68784375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 91.49346875
transcript.pyannote[35].end 95.67846875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 95.67846875
transcript.pyannote[36].end 95.99909375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 95.76284375
transcript.pyannote[37].end 95.96534375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 95.99909375
transcript.pyannote[38].end 96.62346875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 97.06221875
transcript.pyannote[39].end 100.20096875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 100.52159375
transcript.pyannote[40].end 102.59721875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 103.22159375
transcript.pyannote[41].end 104.26784375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 105.53346875
transcript.pyannote[42].end 106.36034375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 107.50784375
transcript.pyannote[43].end 108.73971875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 109.68471875
transcript.pyannote[44].end 116.70471875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 118.49346875
transcript.pyannote[45].end 119.16846875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 119.77596875
transcript.pyannote[46].end 120.41721875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 121.14284375
transcript.pyannote[47].end 121.54784375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 122.54346875
transcript.pyannote[48].end 123.89346875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 123.97784375
transcript.pyannote[49].end 125.39534375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 126.35721875
transcript.pyannote[50].end 130.13721875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 126.69471875
transcript.pyannote[51].end 127.16721875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 129.54659375
transcript.pyannote[52].end 131.23409375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 131.06534375
transcript.pyannote[53].end 131.48721875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 131.87534375
transcript.pyannote[54].end 132.36471875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 132.63471875
transcript.pyannote[55].end 134.03534375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 134.18721875
transcript.pyannote[56].end 136.66784375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 136.83659375
transcript.pyannote[57].end 137.76471875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 138.49034375
transcript.pyannote[58].end 139.13159375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 140.12721875
transcript.pyannote[59].end 141.25784375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 141.89909375
transcript.pyannote[60].end 146.28659375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 147.48471875
transcript.pyannote[61].end 149.39159375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 150.08346875
transcript.pyannote[62].end 151.33221875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 152.15909375
transcript.pyannote[63].end 154.43721875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 155.19659375
transcript.pyannote[64].end 157.37346875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 158.94284375
transcript.pyannote[65].end 159.93846875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 160.30971875
transcript.pyannote[66].end 161.64284375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 162.55409375
transcript.pyannote[67].end 166.68846875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 167.61659375
transcript.pyannote[68].end 170.53596875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 171.36284375
transcript.pyannote[69].end 175.04159375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 176.32409375
transcript.pyannote[70].end 178.06221875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 176.45909375
transcript.pyannote[71].end 183.61409375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 181.84221875
transcript.pyannote[72].end 182.44971875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 183.05721875
transcript.pyannote[73].end 185.20034375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 185.26784375
transcript.pyannote[74].end 189.25034375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 185.87534375
transcript.pyannote[75].end 186.70221875
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 188.42346875
transcript.pyannote[76].end 188.50784375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 188.52471875
transcript.pyannote[77].end 188.67659375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 189.31784375
transcript.pyannote[78].end 196.01721875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 196.10159375
transcript.pyannote[79].end 200.70846875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 199.07159375
transcript.pyannote[80].end 200.65784375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 200.70846875
transcript.pyannote[81].end 201.73784375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 201.33284375
transcript.pyannote[82].end 201.70409375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 203.83034375
transcript.pyannote[83].end 208.23471875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 208.90971875
transcript.pyannote[84].end 210.98534375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 211.55909375
transcript.pyannote[85].end 213.88784375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 215.77784375
transcript.pyannote[86].end 217.73534375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 218.41034375
transcript.pyannote[87].end 219.18659375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 220.40159375
transcript.pyannote[88].end 220.67159375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 221.59971875
transcript.pyannote[89].end 226.52721875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 227.11784375
transcript.pyannote[90].end 228.19784375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 228.68721875
transcript.pyannote[91].end 230.23971875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 231.42096875
transcript.pyannote[92].end 232.14659375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 233.32784375
transcript.pyannote[93].end 234.35721875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 234.94784375
transcript.pyannote[94].end 235.35284375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 235.97721875
transcript.pyannote[95].end 237.20909375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 237.34409375
transcript.pyannote[96].end 260.02409375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 256.93596875
transcript.pyannote[97].end 258.57284375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 259.09596875
transcript.pyannote[98].end 260.15909375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 260.15909375
transcript.pyannote[99].end 260.46284375
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 260.46284375
transcript.pyannote[100].end 261.88034375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 262.82534375
transcript.pyannote[101].end 266.40284375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 267.17909375
transcript.pyannote[102].end 268.42784375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 269.69346875
transcript.pyannote[103].end 270.45284375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 269.77784375
transcript.pyannote[104].end 270.31784375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 270.45284375
transcript.pyannote[105].end 270.46971875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 270.94221875
transcript.pyannote[106].end 274.75596875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 275.22846875
transcript.pyannote[107].end 275.66721875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 276.27471875
transcript.pyannote[108].end 278.01284375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 278.24909375
transcript.pyannote[109].end 278.53596875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 278.63721875
transcript.pyannote[110].end 280.72971875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 281.50596875
transcript.pyannote[111].end 285.01596875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 285.37034375
transcript.pyannote[112].end 287.61471875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 287.93534375
transcript.pyannote[113].end 288.79596875
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 289.16721875
transcript.pyannote[114].end 290.51721875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 289.21784375
transcript.pyannote[115].end 290.46659375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 291.85034375
transcript.pyannote[116].end 293.95971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 294.19596875
transcript.pyannote[117].end 299.62971875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 300.35534375
transcript.pyannote[118].end 303.71346875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 304.50659375
transcript.pyannote[119].end 305.14784375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 305.67096875
transcript.pyannote[120].end 307.93221875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 308.03346875
transcript.pyannote[121].end 309.99096875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 310.29471875
transcript.pyannote[122].end 316.50471875
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 313.82159375
transcript.pyannote[123].end 314.29409375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 315.03659375
transcript.pyannote[124].end 315.99846875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 317.16284375
transcript.pyannote[125].end 319.81221875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 320.23409375
transcript.pyannote[126].end 322.93409375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 324.09846875
transcript.pyannote[127].end 324.62159375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 325.14471875
transcript.pyannote[128].end 326.19096875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 326.84909375
transcript.pyannote[129].end 329.61659375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 330.00471875
transcript.pyannote[130].end 330.27471875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 330.27471875
transcript.pyannote[131].end 330.39284375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 330.39284375
transcript.pyannote[132].end 330.40971875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 330.40971875
transcript.pyannote[133].end 334.79721875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 330.44346875
transcript.pyannote[134].end 330.52784375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 335.35409375
transcript.pyannote[135].end 336.01221875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 337.10909375
transcript.pyannote[136].end 337.46346875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 338.37471875
transcript.pyannote[137].end 343.25159375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 343.87596875
transcript.pyannote[138].end 345.14159375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 345.52971875
transcript.pyannote[139].end 347.28471875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 348.09471875
transcript.pyannote[140].end 349.84971875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 351.18284375
transcript.pyannote[141].end 353.03909375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 353.37659375
transcript.pyannote[142].end 353.73096875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 353.73096875
transcript.pyannote[143].end 355.50284375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 355.84034375
transcript.pyannote[144].end 356.88659375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 357.32534375
transcript.pyannote[145].end 358.15221875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 359.29971875
transcript.pyannote[146].end 361.49346875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 362.32034375
transcript.pyannote[147].end 363.87284375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 365.22284375
transcript.pyannote[148].end 366.37034375
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 367.21409375
transcript.pyannote[149].end 368.09159375
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 368.71596875
transcript.pyannote[150].end 369.62721875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 369.79596875
transcript.pyannote[151].end 374.06534375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 374.80784375
transcript.pyannote[152].end 376.07346875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 376.27596875
transcript.pyannote[153].end 390.77159375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 381.10221875
transcript.pyannote[154].end 384.10596875
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 384.24096875
transcript.pyannote[155].end 386.09721875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 387.56534375
transcript.pyannote[156].end 388.03784375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 389.60721875
transcript.pyannote[157].end 393.84284375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 393.84284375
transcript.pyannote[158].end 398.46659375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 394.36596875
transcript.pyannote[159].end 395.32784375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 396.66096875
transcript.pyannote[160].end 397.33596875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 399.37784375
transcript.pyannote[161].end 409.51971875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 403.03971875
transcript.pyannote[162].end 404.22096875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 407.44409375
transcript.pyannote[163].end 407.93346875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 409.67159375
transcript.pyannote[164].end 411.34221875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 409.73909375
transcript.pyannote[165].end 411.22409375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 411.86534375
transcript.pyannote[166].end 413.65409375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 414.58221875
transcript.pyannote[167].end 416.52284375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 417.55221875
transcript.pyannote[168].end 420.40409375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 420.87659375
transcript.pyannote[169].end 422.49659375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 425.41596875
transcript.pyannote[170].end 427.06971875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 427.72784375
transcript.pyannote[171].end 428.48721875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 429.07784375
transcript.pyannote[172].end 430.81596875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 431.71034375
transcript.pyannote[173].end 432.18284375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 433.61721875
transcript.pyannote[174].end 435.92909375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 436.33409375
transcript.pyannote[175].end 439.28721875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 439.60784375
transcript.pyannote[176].end 440.80596875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 441.27846875
transcript.pyannote[177].end 442.98284375
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 444.29909375
transcript.pyannote[178].end 446.34096875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 447.21846875
transcript.pyannote[179].end 450.54284375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 451.11659375
transcript.pyannote[180].end 453.15846875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 454.37346875
transcript.pyannote[181].end 465.13971875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 456.02721875
transcript.pyannote[182].end 456.24659375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 457.07346875
transcript.pyannote[183].end 459.19971875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 459.36846875
transcript.pyannote[184].end 459.84096875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 460.51596875
transcript.pyannote[185].end 473.03721875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 473.61096875
transcript.pyannote[186].end 475.09596875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 475.50096875
transcript.pyannote[187].end 484.34346875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 482.72346875
transcript.pyannote[188].end 489.38909375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 485.32221875
transcript.pyannote[189].end 488.93346875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 489.70971875
transcript.pyannote[190].end 497.47221875
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 489.77721875
transcript.pyannote[191].end 490.08096875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 496.94909375
transcript.pyannote[192].end 504.74534375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 503.59784375
transcript.pyannote[193].end 509.57159375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 512.42346875
transcript.pyannote[194].end 513.97596875
transcript.whisperx[0].start 17.734
transcript.whisperx[0].end 35.751
transcript.whisperx[0].text 主席 部長還有署長這個豬補助請教一下署長 豬補助什麼時候開始的豬補助從民國96年就有了好 96年之前
transcript.whisperx[1].start 37.762
transcript.whisperx[1].end 62.798
transcript.whisperx[1].text 就開始了 96年以前就開始了 那是從原住民委員會開始當時我擔任副主任委員我去協調當時的經建會 行政院實施這個住屋補助 只有針對原住民後來行政院認為這個應該要擴大辦理
transcript.whisperx[2].start 65.467
transcript.whisperx[2].end 84.362
transcript.whisperx[2].text 所以就交給內政部當時營建署從96年開始來辦理所以從一開始,從延民會到內政部接手都是中央來負擔這個沒有,也有中央跟地方的配合是後來
transcript.whisperx[3].start 86.046
transcript.whisperx[3].end 108.226
transcript.whisperx[3].text 是後來是您講的是兩萬戶以後一開始兩萬戶以內的確是但是兩萬戶以後擴增的時候就要整個政策的一個方向所以是一開始也是中央前額負擔那後來地方開始負擔到了這個蘇貞昌院長
transcript.whisperx[4].start 110.364
transcript.whisperx[4].end 137.837
transcript.whisperx[4].text 拍板這個300億元中央擴大租金補貼專案的計畫當時啊這裡面就這個年度是到明年嗎先到113然後在114、115這樣就在往後延嗎是當時內政部新聞稿也特別提到特別提到這裡面
transcript.whisperx[5].start 140.348
transcript.whisperx[5].end 164.457
transcript.whisperx[5].text 也特別提到本專案300億元經費由中央完全負擔這個是一個行政院擴大辦理然後做了這樣的一個決定由中央全額負擔那你現在突然要改你最起碼你要把這個專案計畫完成
transcript.whisperx[6].start 167.677
transcript.whisperx[6].end 174.538
transcript.whisperx[6].text 完成了你在新的專案計劃的時候你在跟地方去協調這才是一個正辦
transcript.whisperx[7].start 176.465
transcript.whisperx[7].end 201.454
transcript.whisperx[7].text 我瞭解 至少到今年年底都沒有變到今年年底我們還是沒有 還是照現在的狀況你這個狀況是到115啊瞭解 但是因為財政收支劃分法的關係我想這一個 我們的確也受到了一些衝擊那過去的稅基剩餘也可能不會那麼多的這個金額再撥補所以要給地方政府一個譽為一念請教一下部長
transcript.whisperx[8].start 204.688
transcript.whisperx[8].end 228.995
transcript.whisperx[8].text 這個主計總署在跟你們溝通協調的時候有沒有告訴你們說因為財政收支劃分法中央地方的經費會增加行政院有正式或者主計總署有正式發文給地方政府說你們115年的經費
transcript.whisperx[9].start 233.499
transcript.whisperx[9].end 259.484
transcript.whisperx[9].text 會增加多少有嗎報告委員我們現在所了解因為財政部或者是主計總署不是內政部的權責我們現在所收到的資訊就是說中央政府在這一次新的財政收支劃分法通過的時候經常性的收入會減少3753億那各部會的非法定義務支出需要配合三減28%我知道
transcript.whisperx[10].start 262.905
transcript.whisperx[10].end 288.506
transcript.whisperx[10].text 我的意思是說你們有沒有去徵詢你們有沒有去問主計總署主計總署有沒有發文給各縣市說115年度你們的預算會增加統籌經費因為財政措施方法的修正會增加請問一下署長有沒有問
transcript.whisperx[11].start 291.946
transcript.whisperx[11].end 319.347
transcript.whisperx[11].text 我們到目前是不清楚但是因為行政院還在修正他那一個補助的分級原則所謂補助的分級原則行政院主席總署還在訂但是是因為從年初就開始有告訴我們要注意這件事情那地方政府現在是因為面臨明年度的預算編列他需要我們這樣的一個配合我非常清楚我們都是公務員出身
transcript.whisperx[12].start 320.307
transcript.whisperx[12].end 349.557
transcript.whisperx[12].text 你也在地方政府服務過對不對這是有收入有支出收支你只有中央中央只有收因為財政收支方法你的你的收入會增加就像他們有收到收入增加的公文啊然後你就告訴他你要增加這些負擔你要增加這些支出
transcript.whisperx[13].start 351.226
transcript.whisperx[13].end 372.785
transcript.whisperx[13].text 作為一個中央的政府是沒有跟地方政府說你的收入會增加所以我的收入減少了所以你要負擔部分的支出這才是一個政府啊中央跟地方政府的一個合作協調
transcript.whisperx[14].start 374.887
transcript.whisperx[14].end 397.659
transcript.whisperx[14].text 所以這個部分是一個所以才跟委員報告也是因為地方政府他已經出現這個請求因為他們也要預為因應所以我們雙方就是一個互相合作的概念他要預為因應我先協助他出這一份他不知道他會到底他會不會收到這個收入啊但是說明一下說明一下因為委員也當過
transcript.whisperx[15].start 399.871
transcript.whisperx[15].end 422.308
transcript.whisperx[15].text 當過地方的這個主管都知道當你至少在預算裡面要有這個科目你今天如果連這個科目都沒有明年一旦萬一真的上路了地方政府會措手不及市長如果我是你的話我會協調主計總署你也要同步告訴地方政府你會增加多少
transcript.whisperx[16].start 425.618
transcript.whisperx[16].end 452.933
transcript.whisperx[16].text 現在變成沒有啊然後呢行政院又提視線啊對不對一方面要人家增加支出然後也沒告訴對方你會增加多少然後又提視線財政收入方法提視線他也要編明年的預算啊那他也要知道我到底會增加多少的收入然後我要增加多少的支出
transcript.whisperx[17].start 454.64
transcript.whisperx[17].end 472.817
transcript.whisperx[17].text 所以這個部分都是要建議啦我了解委員的意思但是你要建議但是應該這麼說啦因為我想在行政部門行政部門都會有同樣的要預為應做就像去年要突然通過要凍結大量的預算的時候我們也都先告知地方
transcript.whisperx[18].start 473.658
transcript.whisperx[18].end 486.482
transcript.whisperx[18].text 你要預為因應做什麼事那地方政府他就會提早在他的預算裡面也要做一些準備我想現在大家都是在準備的過程當中當然主席總處那邊我們還是會去跟他反應是 地方政府也在籌編所以他也要預為因應大家都是一樣的態度整體的而不是個別的個別的那個然後只有
transcript.whisperx[19].start 493.82
transcript.whisperx[19].end 509.497
transcript.whisperx[19].text 只有只有收到支出沒有收到收入所以我才跟你們講這是地方政府希望他育兒營養所以大家都是在行政的協助上他希望育兒營養所以我們也告訴他可以做我們公務員也要跟主計總署講你也要通知對地方說你增加多少好不好謝謝鄭天才