iVOD / 162007

Field Value
IVOD_ID 162007
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162007
日期 2025-05-28
會議資料.會議代碼 委員會-11-3-19-15
會議資料.會議代碼:str 第11屆第3會期經濟委員會第15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 15
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第3會期經濟委員會第15次全體委員會議
影片種類 Clip
開始時間 2025-05-28T11:35:42+08:00
結束時間 2025-05-28T11:49:49+08:00
影片長度 00:14:07
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f2400bd0af47fcb69771b5ee1b3bf308d2e87f2bf784d93fc30b39433cafc38c7155ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳亭妃
委員發言時間 11:35:42 - 11:49:49
會議時間 2025-05-28T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第15次全體委員會議(事由:審查: 一、本院委員謝衣鳯等16人擬具「農民退休儲金條例第七條條文修正草案」案。 二、本院委員郭國文等17人擬具「農民退休儲金條例第七條條文修正草案」案。(詢答))
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 12.38346875
transcript.pyannote[0].end 14.83034375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 15.52221875
transcript.pyannote[1].end 16.02846875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 21.96846875
transcript.pyannote[2].end 22.00221875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 22.00221875
transcript.pyannote[3].end 22.01909375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 22.01909375
transcript.pyannote[4].end 22.35659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 22.35659375
transcript.pyannote[5].end 22.37346875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 22.37346875
transcript.pyannote[6].end 22.39034375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 22.59284375
transcript.pyannote[7].end 34.86096875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 35.08034375
transcript.pyannote[8].end 49.08659375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 49.27221875
transcript.pyannote[9].end 51.55034375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 51.65159375
transcript.pyannote[10].end 57.28784375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 54.52034375
transcript.pyannote[11].end 54.60471875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 55.63409375
transcript.pyannote[12].end 56.00534375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 57.32159375
transcript.pyannote[13].end 60.57846875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 60.20721875
transcript.pyannote[14].end 60.30846875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 60.59534375
transcript.pyannote[15].end 68.49284375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 69.23534375
transcript.pyannote[16].end 69.80909375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 70.61909375
transcript.pyannote[17].end 72.42471875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 72.57659375
transcript.pyannote[18].end 73.97721875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 73.90971875
transcript.pyannote[19].end 74.24721875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 74.44971875
transcript.pyannote[20].end 76.91346875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 76.55909375
transcript.pyannote[21].end 77.01471875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 77.47034375
transcript.pyannote[22].end 82.38096875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 82.16159375
transcript.pyannote[23].end 82.17846875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 82.38096875
transcript.pyannote[24].end 82.58346875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 82.43159375
transcript.pyannote[25].end 87.02159375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 86.78534375
transcript.pyannote[26].end 86.97096875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 87.02159375
transcript.pyannote[27].end 87.03846875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 87.03846875
transcript.pyannote[28].end 87.05534375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 87.05534375
transcript.pyannote[29].end 87.17346875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 87.17346875
transcript.pyannote[30].end 87.19034375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 87.32534375
transcript.pyannote[31].end 88.91159375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 89.06346875
transcript.pyannote[32].end 89.55284375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 89.72159375
transcript.pyannote[33].end 93.01221875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 92.65784375
transcript.pyannote[34].end 93.04596875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 93.04596875
transcript.pyannote[35].end 95.23971875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 95.23971875
transcript.pyannote[36].end 95.50971875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 96.21846875
transcript.pyannote[37].end 97.12971875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 97.38284375
transcript.pyannote[38].end 104.08221875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 101.83784375
transcript.pyannote[39].end 101.97284375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 102.00659375
transcript.pyannote[40].end 102.15846875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 104.14971875
transcript.pyannote[41].end 114.66284375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 108.06471875
transcript.pyannote[42].end 108.21659375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 108.43596875
transcript.pyannote[43].end 108.58784375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 110.32596875
transcript.pyannote[44].end 110.71409375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 114.78096875
transcript.pyannote[45].end 121.98659375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 116.87346875
transcript.pyannote[46].end 117.32909375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 119.15159375
transcript.pyannote[47].end 119.57346875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 121.17659375
transcript.pyannote[48].end 121.71659375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 122.47596875
transcript.pyannote[49].end 128.88846875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 129.32721875
transcript.pyannote[50].end 129.73221875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 129.93471875
transcript.pyannote[51].end 134.10284375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 134.45721875
transcript.pyannote[52].end 142.52346875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 142.92846875
transcript.pyannote[53].end 145.72971875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 145.93221875
transcript.pyannote[54].end 147.34971875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 148.12596875
transcript.pyannote[55].end 149.50971875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 149.89784375
transcript.pyannote[56].end 154.21784375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 154.53846875
transcript.pyannote[57].end 166.28346875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 166.85721875
transcript.pyannote[58].end 171.78471875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 172.67909375
transcript.pyannote[59].end 174.82221875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 175.68284375
transcript.pyannote[60].end 177.01596875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 177.57284375
transcript.pyannote[61].end 180.15471875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 181.25159375
transcript.pyannote[62].end 199.88159375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 185.60534375
transcript.pyannote[63].end 185.65596875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 188.30534375
transcript.pyannote[64].end 188.45721875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 188.64284375
transcript.pyannote[65].end 188.67659375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 199.94909375
transcript.pyannote[66].end 201.02909375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 201.13034375
transcript.pyannote[67].end 203.39159375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 203.79659375
transcript.pyannote[68].end 206.07471875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 206.26034375
transcript.pyannote[69].end 206.53034375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 207.13784375
transcript.pyannote[70].end 209.21346875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 210.34409375
transcript.pyannote[71].end 211.39034375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 211.79534375
transcript.pyannote[72].end 213.09471875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 213.78659375
transcript.pyannote[73].end 216.28409375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 216.45284375
transcript.pyannote[74].end 218.00534375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 218.74784375
transcript.pyannote[75].end 220.21596875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 221.17784375
transcript.pyannote[76].end 224.50221875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 225.04221875
transcript.pyannote[77].end 225.83534375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 225.83534375
transcript.pyannote[78].end 226.18971875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 226.18971875
transcript.pyannote[79].end 227.23596875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 227.62409375
transcript.pyannote[80].end 231.42096875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 231.70784375
transcript.pyannote[81].end 232.77096875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 233.14221875
transcript.pyannote[82].end 233.53034375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 233.53034375
transcript.pyannote[83].end 233.54721875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 233.54721875
transcript.pyannote[84].end 233.56409375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 233.63159375
transcript.pyannote[85].end 234.20534375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 234.49221875
transcript.pyannote[86].end 238.12034375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 238.25534375
transcript.pyannote[87].end 239.55471875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 239.58846875
transcript.pyannote[88].end 241.17471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 240.65159375
transcript.pyannote[89].end 241.05659375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 241.47846875
transcript.pyannote[90].end 244.83659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 245.27534375
transcript.pyannote[91].end 252.83534375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 252.51471875
transcript.pyannote[92].end 255.80534375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 257.07096875
transcript.pyannote[93].end 258.64034375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 259.56846875
transcript.pyannote[94].end 260.53034375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 260.81721875
transcript.pyannote[95].end 262.40346875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 262.40346875
transcript.pyannote[96].end 265.10346875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 263.14596875
transcript.pyannote[97].end 264.20909375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 265.18784375
transcript.pyannote[98].end 267.46596875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 267.46596875
transcript.pyannote[99].end 272.56221875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 272.91659375
transcript.pyannote[100].end 288.49221875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 288.10409375
transcript.pyannote[101].end 289.57221875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 290.51721875
transcript.pyannote[102].end 298.02659375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 295.59659375
transcript.pyannote[103].end 296.13659375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 298.56659375
transcript.pyannote[104].end 299.74784375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 299.74784375
transcript.pyannote[105].end 300.27096875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 300.27096875
transcript.pyannote[106].end 303.44346875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 300.60846875
transcript.pyannote[107].end 301.04721875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 303.66284375
transcript.pyannote[108].end 305.26596875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 305.35034375
transcript.pyannote[109].end 306.78471875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 307.61159375
transcript.pyannote[110].end 308.25284375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 308.40471875
transcript.pyannote[111].end 310.31159375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 310.07534375
transcript.pyannote[112].end 314.02409375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 314.76659375
transcript.pyannote[113].end 328.73909375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 329.24534375
transcript.pyannote[114].end 330.78096875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 331.18596875
transcript.pyannote[115].end 334.83096875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 335.37096875
transcript.pyannote[116].end 335.75909375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 335.75909375
transcript.pyannote[117].end 335.77596875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 335.79284375
transcript.pyannote[118].end 343.30221875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 336.63659375
transcript.pyannote[119].end 341.15909375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 341.27721875
transcript.pyannote[120].end 341.80034375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 342.71159375
transcript.pyannote[121].end 350.86221875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 348.93846875
transcript.pyannote[122].end 352.85346875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 353.12346875
transcript.pyannote[123].end 367.95659375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 367.56846875
transcript.pyannote[124].end 370.38659375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 369.20534375
transcript.pyannote[125].end 369.47534375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 370.69034375
transcript.pyannote[126].end 371.78721875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 372.34409375
transcript.pyannote[127].end 375.16221875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 373.84596875
transcript.pyannote[128].end 378.18284375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 376.74846875
transcript.pyannote[129].end 380.56221875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 380.95034375
transcript.pyannote[130].end 382.30034375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 382.67159375
transcript.pyannote[131].end 386.89034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 385.69221875
transcript.pyannote[132].end 386.58659375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 386.97471875
transcript.pyannote[133].end 388.24034375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 388.72971875
transcript.pyannote[134].end 391.59846875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 391.68284375
transcript.pyannote[135].end 392.91471875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 393.45471875
transcript.pyannote[136].end 397.74096875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 397.74096875
transcript.pyannote[137].end 416.55659375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 416.52284375
transcript.pyannote[138].end 419.47596875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 419.91471875
transcript.pyannote[139].end 434.69721875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 435.42284375
transcript.pyannote[140].end 438.13971875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 438.56159375
transcript.pyannote[141].end 440.29971875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 438.57846875
transcript.pyannote[142].end 440.85659375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 440.85659375
transcript.pyannote[143].end 442.00409375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 441.34596875
transcript.pyannote[144].end 457.14096875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 450.96471875
transcript.pyannote[145].end 451.58909375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 452.04471875
transcript.pyannote[146].end 452.12909375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 452.46659375
transcript.pyannote[147].end 453.14159375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 457.51221875
transcript.pyannote[148].end 458.25471875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 457.63034375
transcript.pyannote[149].end 458.18721875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 458.45721875
transcript.pyannote[150].end 465.61221875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 466.06784375
transcript.pyannote[151].end 466.65846875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 466.81034375
transcript.pyannote[152].end 467.82284375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 468.98721875
transcript.pyannote[153].end 469.51034375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 470.11784375
transcript.pyannote[154].end 471.41721875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 472.15971875
transcript.pyannote[155].end 475.83846875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 476.64846875
transcript.pyannote[156].end 478.40346875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 478.52159375
transcript.pyannote[157].end 482.36909375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 478.53846875
transcript.pyannote[158].end 478.96034375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 482.92596875
transcript.pyannote[159].end 484.00596875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 484.56284375
transcript.pyannote[160].end 487.81971875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 489.13596875
transcript.pyannote[161].end 491.44784375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 492.08909375
transcript.pyannote[162].end 492.52784375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 493.20284375
transcript.pyannote[163].end 494.41784375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 495.73409375
transcript.pyannote[164].end 498.07971875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 498.77159375
transcript.pyannote[165].end 501.10034375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 501.69096875
transcript.pyannote[166].end 507.29346875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 507.79971875
transcript.pyannote[167].end 518.19471875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 518.83596875
transcript.pyannote[168].end 521.36721875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 522.21096875
transcript.pyannote[169].end 523.35846875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 523.91534375
transcript.pyannote[170].end 536.09909375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 526.76721875
transcript.pyannote[171].end 527.44221875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 537.29721875
transcript.pyannote[172].end 541.65096875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 542.25846875
transcript.pyannote[173].end 543.60846875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 544.21596875
transcript.pyannote[174].end 545.44784375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 546.03846875
transcript.pyannote[175].end 552.55221875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 552.73784375
transcript.pyannote[176].end 554.47596875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 554.93159375
transcript.pyannote[177].end 559.31909375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 560.26409375
transcript.pyannote[178].end 561.47909375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 561.73221875
transcript.pyannote[179].end 563.70659375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 564.43221875
transcript.pyannote[180].end 571.48596875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 571.75596875
transcript.pyannote[181].end 573.05534375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 573.37596875
transcript.pyannote[182].end 574.94534375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 575.63721875
transcript.pyannote[183].end 576.39659375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 576.95346875
transcript.pyannote[184].end 581.47596875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 581.30721875
transcript.pyannote[185].end 581.99909375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 582.25221875
transcript.pyannote[186].end 585.76221875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 586.21784375
transcript.pyannote[187].end 596.71409375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 595.70159375
transcript.pyannote[188].end 598.16534375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 597.35534375
transcript.pyannote[189].end 601.64159375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 600.25784375
transcript.pyannote[190].end 604.93221875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 603.49784375
transcript.pyannote[191].end 604.40909375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 604.84784375
transcript.pyannote[192].end 613.26846875
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 613.48784375
transcript.pyannote[193].end 615.49596875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 615.83346875
transcript.pyannote[194].end 616.12034375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 616.81221875
transcript.pyannote[195].end 619.37721875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 620.08596875
transcript.pyannote[196].end 620.89596875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 621.33471875
transcript.pyannote[197].end 625.70534375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 626.48159375
transcript.pyannote[198].end 631.59471875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 629.56971875
transcript.pyannote[199].end 638.15909375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 638.54721875
transcript.pyannote[200].end 642.58034375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 639.03659375
transcript.pyannote[201].end 640.30221875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 643.22159375
transcript.pyannote[202].end 648.41909375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 645.21284375
transcript.pyannote[203].end 645.68534375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 647.94659375
transcript.pyannote[204].end 650.46096875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 650.96721875
transcript.pyannote[205].end 653.97096875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 653.32971875
transcript.pyannote[206].end 662.56034375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 656.48534375
transcript.pyannote[207].end 657.63284375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 659.03346875
transcript.pyannote[208].end 659.92784375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 661.42971875
transcript.pyannote[209].end 661.76721875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 662.56034375
transcript.pyannote[210].end 671.03159375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 666.72846875
transcript.pyannote[211].end 667.47096875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 671.40284375
transcript.pyannote[212].end 690.43784375
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 671.65596875
transcript.pyannote[213].end 674.60909375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 690.57284375
transcript.pyannote[214].end 697.79534375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 698.20034375
transcript.pyannote[215].end 704.25846875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 704.49471875
transcript.pyannote[216].end 715.96971875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 705.38909375
transcript.pyannote[217].end 708.29159375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 716.05409375
transcript.pyannote[218].end 719.36159375
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 719.63159375
transcript.pyannote[219].end 723.05721875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 723.90096875
transcript.pyannote[220].end 725.60534375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 726.33096875
transcript.pyannote[221].end 732.06846875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 726.73596875
transcript.pyannote[222].end 727.76534375
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 731.15721875
transcript.pyannote[223].end 753.33096875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 733.33409375
transcript.pyannote[224].end 736.96221875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 738.02534375
transcript.pyannote[225].end 739.83096875
transcript.pyannote[226].speaker SPEAKER_01
transcript.pyannote[226].start 753.36471875
transcript.pyannote[226].end 762.12284375
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 762.74721875
transcript.pyannote[227].end 764.51909375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 765.04221875
transcript.pyannote[228].end 770.25659375
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 770.59409375
transcript.pyannote[229].end 772.68659375
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 773.39534375
transcript.pyannote[230].end 774.61034375
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 774.93096875
transcript.pyannote[231].end 779.53784375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 779.85846875
transcript.pyannote[232].end 781.93409375
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 782.44034375
transcript.pyannote[233].end 783.19971875
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 783.45284375
transcript.pyannote[234].end 784.02659375
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 784.44846875
transcript.pyannote[235].end 785.25846875
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 785.59596875
transcript.pyannote[236].end 786.76034375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 787.38471875
transcript.pyannote[237].end 790.20284375
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 790.43909375
transcript.pyannote[238].end 793.12221875
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 793.71284375
transcript.pyannote[239].end 798.55596875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 799.60221875
transcript.pyannote[240].end 803.26409375
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 803.71971875
transcript.pyannote[241].end 806.87534375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 807.60096875
transcript.pyannote[242].end 826.26471875
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 821.08409375
transcript.pyannote[243].end 821.42159375
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 826.90596875
transcript.pyannote[244].end 828.52596875
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 829.01534375
transcript.pyannote[245].end 835.19159375
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 835.34346875
transcript.pyannote[246].end 838.90409375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 839.78159375
transcript.pyannote[247].end 842.51534375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 842.92034375
transcript.pyannote[248].end 845.78909375
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 846.26159375
transcript.pyannote[249].end 847.22346875
transcript.whisperx[0].start 12.883
transcript.whisperx[0].end 14.424
transcript.whisperx[0].text 謝謝主席 我們請部長陳部長
transcript.whisperx[1].start 23.002
transcript.whisperx[1].end 51.124
transcript.whisperx[1].text 部長我想在討論這個農民退休儲金條例之前我想我們還是要review一下就是說其實從蔡英文總統她一直大力推動的各項保障農民的政策其實從我們就是三保一金我們的健康保險還有農業保險還有植栽保險還有農民退休儲金三保一金
transcript.whisperx[2].start 51.964
transcript.whisperx[2].end 68.37
transcript.whisperx[2].text 這是我們從過去農委會然後到農業部陳其仲主委一直到陳巨基部長我們在努力的所以我覺得今天如果我們常在說哇我們要來修正農民退休處境好像民進黨沒在做事錯了
transcript.whisperx[3].start 70.683
transcript.whisperx[3].end 93.485
transcript.whisperx[3].text 我們這個三保一經我們努力很久我覺得我們應該把這個前提跟大家說也因為有我們當時候的1比1的補助所以才有今天大家在討論覆蓋率的問題要1比1.5所以我認為說我們都要把前提講清楚否則農民會忘記
transcript.whisperx[4].start 96.474
transcript.whisperx[4].end 120.817
transcript.whisperx[4].text 會忘記所以其實我們這一次覆蓋率我們在討論覆蓋率覆蓋率不足不到五成所以大家認為說這應該是這個對比補貼的問題如果有更多的誘因可以讓我們的政府補貼升到1.5倍民眾的誘因會更高我們農民的誘因會更高所以才有這樣的一個討論的依據
transcript.whisperx[5].start 122.578
transcript.whisperx[5].end 141.304
transcript.whisperx[5].text 所以我認為說其實我們努力那麼久從三保一經過去根本不可能過去根本不可能啦我們的健康保險然後再來農業保險然後再植栽保險過去我們的農民看到勞工他有植栽我們農民在大陸會卡
transcript.whisperx[6].start 149.987
transcript.whisperx[6].end 171.78
transcript.whisperx[6].text 然後送醫都沒有辦法有所謂的植栽可是現在可以了然後還有我們有一些農作物現在只要保險在我們的這個農損的部分有相對應這個過去也沒有然後還有我們農民的健康保險所以其實我們一直在說的
transcript.whisperx[7].start 175.728
transcript.whisperx[7].end 178.402
transcript.whisperx[7].text 我們希望農民更好因為農民很辛苦看天吃飯
transcript.whisperx[8].start 181.294
transcript.whisperx[8].end 207.521
transcript.whisperx[8].text 我都不希望說農民為了我們這個土地做這些事情但是永遠被遺忘的一群可是在蔡英文政府上任之後一直到現在賴清德總統我相信我們沒有忘記這個區塊我們也一直在做只是我們的速度好像跟不上他們的期待那這個就問題來了
transcript.whisperx[9].start 210.407
transcript.whisperx[9].end 219.949
transcript.whisperx[9].text 我們要怎麼做才能讓他們能夠符合他們的需求好 我們現在來談農民退休儲金
transcript.whisperx[10].start 222.704
transcript.whisperx[10].end 240.382
transcript.whisperx[10].text 1對1跟1對1比51.5這樣的部分就是說我們的政府補貼是1.5還是1相對補貼這個我們到底增加多少錢現在是15.5億增加15.5億就增加15.5億那15.5億我們預計可以增加多少覆蓋率
transcript.whisperx[11].start 245.336
transcript.whisperx[11].end 257.903
transcript.whisperx[11].text 沒有 我們15.5億是現在已經在提繳的因為現在已經在提繳的 我們要對等增加嘛對 好 那現在15.5億 那如果我們增加到1.5倍
transcript.whisperx[12].start 259.605
transcript.whisperx[12].end 274.211
transcript.whisperx[12].text 那增加多少可能再增加8億左右增加8億那預計增加8億會有多少增加的覆蓋率我們應該這麼講從老保65歲以下而且是合格的人如果都保的話是22.3萬人
transcript.whisperx[13].start 276.552
transcript.whisperx[13].end 289.382
transcript.whisperx[13].text 那現在是將近10萬9萬多9萬2千多人是15億嘛所以如果22萬都保的時候那增加的就是大概將近35億左右所以
transcript.whisperx[14].start 290.56
transcript.whisperx[14].end 313.608
transcript.whisperx[14].text 你認為如果說全部都保進來是要增加35億是用我們1.5這樣的一個對等要增加35億那你認為我們提高了1.5有可能全部都進來嗎應該不會不會那預計可以增加多少我們在退休除菁我們有階段性目標我們希望說
transcript.whisperx[15].start 315.307
transcript.whisperx[15].end 328.559
transcript.whisperx[15].text 這在117、118年能夠達到60%到65%那如果說現在1.5%如果說是成案的話我們希望預期是至少可以到70%到80%所以你們不反對嗎我們從來沒有反對說這樣的方式不好
transcript.whisperx[16].start 337.099
transcript.whisperx[16].end 363.457
transcript.whisperx[16].text 對那現在有什麼爭議我們現在考慮的你們都不認為是不對的你們都不認為說這個部分不好而且是確實可以提高覆蓋率我想我們怎麼樣怎麼樣的提高政策的導入政策的誘因委員提的版本是1比1.5這是一個方式那我們也有另外想到一個方式就是總而不變之下我們的負擔多一點如果100 100都講100
transcript.whisperx[17].start 365.558
transcript.whisperx[17].end 374.867
transcript.whisperx[17].text 然後以後他繳80我們繳120好那你提的政策增加多少預算那個大概6億6億跟8億會差很多嗎那哪一個效率會更多現在的15.5億大概差一半
transcript.whisperx[18].start 381.033
transcript.whisperx[18].end 395.913
transcript.whisperx[18].text 那另外我們希望說不一定是二選一啦可能是可以合在一起部長好啦你們行政院農業部你們有方案那請問你們有提出嗎還在討論還在檢討
transcript.whisperx[19].start 398.016
transcript.whisperx[19].end 418.817
transcript.whisperx[19].text 我們已經跟院長室那邊約時間了我們會先跟院長做專案報告如果方向確定的時候我們就會立即提出我們的版本那這個版本完了以後會經過包括因為這需要額外的經費嘛還要主計總處還要其他的單位去表示意見所以你們的版本大概是增加5億
transcript.whisperx[20].start 419.96
transcript.whisperx[20].end 434.476
transcript.whisperx[20].text 不是 我們的版本有幾個一個就是委員的版本也許可以跟我們的版本做某個程度的融合啦那這個融合可能要經過行政院這邊初步的支持我們才能夠精算下去
transcript.whisperx[21].start 435.515
transcript.whisperx[21].end 457.655
transcript.whisperx[21].text 所以你認為這是可以有調和版的對不對行政院有調和版那有一個調和版也可以增加我們的覆蓋率我們117年118年到達了60%到65%這樣的標準是不是調和版也是可以而且經費不用有那麼多的壓力是這樣嗎
transcript.whisperx[22].start 458.576
transcript.whisperx[22].end 487.197
transcript.whisperx[22].text 是 因為以15.5億來講齁其實比起其他的重大建設 它的金額並不大啦齁 但是你講到重點了真的 部長你講到重點了今天 如果我們今天一億兩億在這邊論農民心在糖血啦是 他說齁 你一個大型建設 幾百億都在做啊啊你對我農民 你是一億兩億 讓我在那裡斤斤計較
transcript.whisperx[23].start 489.495
transcript.whisperx[23].end 494.041
transcript.whisperx[23].text 這個其實是一個痛所以如果今天
transcript.whisperx[24].start 495.799
transcript.whisperx[24].end 516.567
transcript.whisperx[24].text 我們站在執政的角度 我覺得我們就把它很清楚的講出來我們要到達117年 118年的60%到65%的覆蓋率我們要提出什麼樣的政策 大聲講出來不是真的問題是農民可以有信心嗎 農民有要加入我們這個農民退休儲金嗎我們有辦法達到讓他們安心嗎
transcript.whisperx[25].start 522.324
transcript.whisperx[25].end 541.175
transcript.whisperx[25].text 是這個目標不是一億兩億三億四億這樣的問題而是要有一個完整的制度讓他們安心這才是最重要今天有很多是因為不安心否則為什麼農民退休儲金是比以前更好
transcript.whisperx[26].start 542.335
transcript.whisperx[26].end 558.849
transcript.whisperx[26].text 以前沒有撥補啊以前沒有啊那是在蔡英文總統的時候我們提了這個農民退休儲金的制度有了撥補好那應該大家會一窩蜂想要進來可是為什麼還是覆蓋率沒有到達
transcript.whisperx[27].start 560.525
transcript.whisperx[27].end 574.727
transcript.whisperx[27].text 過五成的部分 我們就要去想原因沒安心了所以當你要再提出版本 要做調和版你一定要有一個原則安心好 那現在這個版本什麼時候要提出
transcript.whisperx[28].start 575.677
transcript.whisperx[28].end 594.812
transcript.whisperx[28].text 我想我們應該在順利的話應該在這個禮拜可以跟行政院做報告這個禮拜會跟行政院做報告然後報告以後如果說我們的想法是被支持的時候還是說需要調整我們可能也會立刻的去做調整然後再重新抱怨
transcript.whisperx[29].start 596.012
transcript.whisperx[29].end 619.183
transcript.whisperx[29].text 所以我們的目標就是下個會期會送進來下個會期就是農民退休儲金制度的修正版我們也希望說連老農津貼的修正牌付的東西也一併送進來因為他不能單獨看這兩個要一起來看這個就是我要問你第二個問題今天這個牌付的部分
transcript.whisperx[30].start 620.191
transcript.whisperx[30].end 625.18
transcript.whisperx[30].text 之前部長一直把他綁在八大福利津貼
transcript.whisperx[31].start 626.953
transcript.whisperx[31].end 650.199
transcript.whisperx[31].text 這個是不是我把我們我們提出我們的版本是那現在我要問你的是現在你說的我們要一併討論我們現在可以排除跟他們脫鉤嗎對我們可以嗎我們我以農業部來講我們希望脫鉤當然當然我們希望脫鉤嘛但是我現在問你有沒有辦法脫鉤沒有那那不是要行政院要決定啊
transcript.whisperx[32].start 651.038
transcript.whisperx[32].end 657.944
transcript.whisperx[32].text 因為不是我能決定我的希望說所以那你要你在這個禮拜跟行政院長談的時候你要一併談啊因為這兩個本來都是農民最重要的這是我們一向的立場就是說因為農民有他的特殊的產業所以我們希望說能夠適度的脫鉤啊但是
transcript.whisperx[33].start 671.477
transcript.whisperx[33].end 693.571
transcript.whisperx[33].text 那你要一併談啊所以在這個老農今天你之前一直說你都支持你都支持可是因為他永遠把我們綁在八大社福津貼嘛好那既然現在要談我們農民退休儲金制度這本來就要一起談啊老農今天本來就要一起談啊在我們的排富的部分嘛那你要跟院長說這兩個要一起讓農民安心
transcript.whisperx[34].start 698.674
transcript.whisperx[34].end 723.011
transcript.whisperx[34].text 這農民安心才能真正達到我們調和板的一個處理的機制好不好部長 你在這一次就是在整個排富條款一定要把那個整個拉高否則這個已經完全讓老農沒有辦法去認同我們政府說現在還有爸爸親親在在就有爸爸了 大家也把你排除掉是不是 部長好不好
transcript.whisperx[35].start 726.834
transcript.whisperx[35].end 751.523
transcript.whisperx[35].text 可不可以啦我立場表達得非常清楚我們希望能夠幹流助理就是這個禮拜嘛 你就說是我們我們壓力的嘛 我們逼你的嘛沒錯 那你要去跟院長報告啊你在這個禮拜的報告是兩個一起提出來報告並行因為這是我們老農非常重要的一個依據我們農民非常重要的依據所以兩個一起跟行政院長報告你說這是
transcript.whisperx[36].start 753.544
transcript.whisperx[36].end 772.435
transcript.whisperx[36].text 我們的委員在經濟委員會要求的然後跟院長報告看怎麼處理我們一定要一次而且那個差太多了所以拜託有而且喔如果由你來做發動不一定因為我們腦農今天的解掉
transcript.whisperx[37].start 773.456
transcript.whisperx[37].end 798.237
transcript.whisperx[37].text 排富的解掉 會帶動八大福利 其他的七大福利基金 今天也解掉了這樣直接做工程 你知道嗎 部長這個禮拜喔 兩個一起報告結果怎麼樣 我們隨時要知道看到底是你們的問題 還是院長的問題嘛這樣我們就知道 要去找誰說啊要不然我們現在也不知道原因在哪裡
transcript.whisperx[38].start 799.656
transcript.whisperx[38].end 826.033
transcript.whisperx[38].text 那我們每次提案就說 喔 還一下 要討論 要討論可是我們回去對農民來講 都沒辦法交代再拜託部長 這個禮拜就是我們的農民退休儲金制度我們的調和板 要怎麼讓我們的覆蓋率可以達到117年 118年我們的60%到65%然後我們的老農津貼 我們的排付條款一定要解掉
transcript.whisperx[39].start 827.214
transcript.whisperx[39].end 844.981
transcript.whisperx[39].text 不能在這500萬一定要解掉要以現在的比例甚至每年都要做檢討我們的整個物調太快了嘛這個物調太快了 農民沒有辦法接受啦所以這個再拜託我們的部長 謝謝好 謝謝