iVOD / 167709

Field Value
IVOD_ID 167709
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167709
日期 2026-03-19
會議資料.會議代碼 聯席會議-11-5-19,20-1
會議資料.會議代碼:str 第11屆第5會期經濟、財政兩委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 19
會議資料.委員會代碼[1] 20
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.委員會代碼:str[1] 財政委員會
會議資料.標題 第11屆第5會期經濟、財政兩委員會第1次聯席會議
影片種類 Clip
開始時間 2026-03-19T10:54:34+08:00
結束時間 2026-03-19T11:01:51+08:00
影片長度 00:07:17
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ddc1636ead3b8e598a5b8f9335e599e05fca415873cf37f1d6f5a3a5be601f8a9cee5e6b172f0fbd5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 10:54:34 - 11:01:51
會議時間 2026-03-19T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟、財政兩委員會第1次聯席會議(事由:審查: 一、 本院委員邱志偉等17人擬具「產業創新條例第十條、第二十三條之一及第二十三條之二條文修正草案」案。 二、 本院委員鍾佳濱等20人擬具「產業創新條例第三十九條、第四十六條及第四十六條之一條文修正草案」案。 三、 本院台灣民眾黨黨團擬具「產業創新條例第三十條條文修正草案」案。 四、 本院委員賴瑞隆等21人擬具「產業創新條例部分條文修正草案」案。 五、 本院委員陳亭妃等19人擬具「產業創新條例部分條文修正草案」案。 六、 本院委員邱鎮軍等17人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。 七、 本院委員王鴻薇等23人擬具「產業創新條例第十條之一條文修正草案」案。 八、 本院委員廖偉翔等19人擬具「產業創新條例第十條之一及第二十三條之一條文修正草案」案。 九、 本院委員丁學忠等16人擬具「產業創新條例第六十七條之一及第七十條條文修正草案」案。 十、本院委員林倩綺等20人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。 十一、本院委員蔡易餘等17人擬具「產業創新條例部分條文修正草案」案。 十二、本院台灣民眾黨黨團擬具「產業創新條例部分條文修正草案」案。(僅詢答))
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 6.39284375
transcript.pyannote[0].end 7.70909375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 8.21534375
transcript.pyannote[1].end 11.18534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 14.07096875
transcript.pyannote[2].end 16.39971875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 16.41659375
transcript.pyannote[3].end 18.88034375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 19.47096875
transcript.pyannote[4].end 19.80846875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 20.17971875
transcript.pyannote[5].end 24.38159375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 25.29284375
transcript.pyannote[6].end 26.10284375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 26.49096875
transcript.pyannote[7].end 26.81159375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 27.40221875
transcript.pyannote[8].end 29.73096875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 30.67596875
transcript.pyannote[9].end 31.97534375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 32.76846875
transcript.pyannote[10].end 34.84409375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 35.46846875
transcript.pyannote[11].end 35.99159375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 36.61596875
transcript.pyannote[12].end 40.05846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 40.05846875
transcript.pyannote[13].end 40.24409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 40.24409375
transcript.pyannote[14].end 40.93596875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 41.23971875
transcript.pyannote[15].end 41.25659375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 41.25659375
transcript.pyannote[16].end 41.29034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 41.29034375
transcript.pyannote[17].end 50.01471875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 50.40284375
transcript.pyannote[18].end 52.81596875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 53.17034375
transcript.pyannote[19].end 53.65971875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 53.92971875
transcript.pyannote[20].end 55.68471875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 55.90409375
transcript.pyannote[21].end 57.03471875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 57.54096875
transcript.pyannote[22].end 58.85721875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 59.22846875
transcript.pyannote[23].end 65.62409375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 62.38409375
transcript.pyannote[24].end 62.65409375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 65.74221875
transcript.pyannote[25].end 91.45971875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 91.76346875
transcript.pyannote[26].end 94.63221875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 93.33284375
transcript.pyannote[27].end 94.61534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 95.03721875
transcript.pyannote[28].end 100.75784375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 103.42409375
transcript.pyannote[29].end 103.72784375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 104.36909375
transcript.pyannote[30].end 104.94284375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 105.16221875
transcript.pyannote[31].end 105.17909375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 105.17909375
transcript.pyannote[32].end 118.03784375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 105.31409375
transcript.pyannote[33].end 105.56721875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 105.61784375
transcript.pyannote[34].end 105.66846875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 113.17784375
transcript.pyannote[35].end 113.70096875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 118.12221875
transcript.pyannote[36].end 120.92346875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 118.24034375
transcript.pyannote[37].end 118.64534375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 121.27784375
transcript.pyannote[38].end 123.69096875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 124.38284375
transcript.pyannote[39].end 125.09159375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 125.34471875
transcript.pyannote[40].end 129.02346875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 129.02346875
transcript.pyannote[41].end 129.78284375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 129.96846875
transcript.pyannote[42].end 132.61784375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 132.19596875
transcript.pyannote[43].end 132.60096875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 132.61784375
transcript.pyannote[44].end 133.52909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 133.52909375
transcript.pyannote[45].end 138.96284375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 138.96284375
transcript.pyannote[46].end 140.19471875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 140.97096875
transcript.pyannote[47].end 143.16471875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 143.38409375
transcript.pyannote[48].end 149.42534375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 149.76284375
transcript.pyannote[49].end 150.82596875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 151.28159375
transcript.pyannote[50].end 153.47534375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 155.44971875
transcript.pyannote[51].end 158.74034375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 155.55096875
transcript.pyannote[52].end 156.29346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 156.54659375
transcript.pyannote[53].end 156.68159375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 156.93471875
transcript.pyannote[54].end 158.28471875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 158.50409375
transcript.pyannote[55].end 158.55471875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 158.60534375
transcript.pyannote[56].end 161.71034375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 162.33471875
transcript.pyannote[57].end 180.22221875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 180.96471875
transcript.pyannote[58].end 181.30221875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 181.21784375
transcript.pyannote[59].end 182.97284375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 182.97284375
transcript.pyannote[60].end 183.41159375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 183.41159375
transcript.pyannote[61].end 183.52971875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 183.52971875
transcript.pyannote[62].end 190.11096875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 183.73221875
transcript.pyannote[63].end 183.81659375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 187.81596875
transcript.pyannote[64].end 188.30534375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 190.36409375
transcript.pyannote[65].end 194.78534375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 191.52846875
transcript.pyannote[66].end 193.43534375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 193.77284375
transcript.pyannote[67].end 194.68409375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 194.78534375
transcript.pyannote[68].end 194.80221875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 194.98784375
transcript.pyannote[69].end 195.00471875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 195.00471875
transcript.pyannote[70].end 195.02159375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 195.02159375
transcript.pyannote[71].end 196.82721875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 197.16471875
transcript.pyannote[72].end 203.93159375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 203.93159375
transcript.pyannote[73].end 204.03284375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 204.15096875
transcript.pyannote[74].end 204.18471875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 204.18471875
transcript.pyannote[75].end 204.25221875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 204.25221875
transcript.pyannote[76].end 205.90596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 206.20971875
transcript.pyannote[77].end 215.60909375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 213.61784375
transcript.pyannote[78].end 215.65971875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 216.13221875
transcript.pyannote[79].end 218.73096875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 219.15284375
transcript.pyannote[80].end 220.03034375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 220.11471875
transcript.pyannote[81].end 222.78096875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 223.20284375
transcript.pyannote[82].end 223.84409375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 224.16471875
transcript.pyannote[83].end 224.97471875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 224.97471875
transcript.pyannote[84].end 225.04221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 225.48096875
transcript.pyannote[85].end 225.51471875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 225.51471875
transcript.pyannote[86].end 226.37534375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 226.69596875
transcript.pyannote[87].end 226.71284375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 226.71284375
transcript.pyannote[88].end 231.21846875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 229.02471875
transcript.pyannote[89].end 230.15534375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 231.85971875
transcript.pyannote[90].end 235.87596875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 236.09534375
transcript.pyannote[91].end 236.11221875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 236.11221875
transcript.pyannote[92].end 237.17534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 237.27659375
transcript.pyannote[93].end 237.29346875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 237.29346875
transcript.pyannote[94].end 238.33971875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 239.43659375
transcript.pyannote[95].end 251.55284375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 241.91721875
transcript.pyannote[96].end 243.25034375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 249.44346875
transcript.pyannote[97].end 251.08034375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 251.55284375
transcript.pyannote[98].end 253.24034375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 253.24034375
transcript.pyannote[99].end 253.74659375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 253.51034375
transcript.pyannote[100].end 274.26659375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 274.57034375
transcript.pyannote[101].end 274.97534375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 274.97534375
transcript.pyannote[102].end 275.27909375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 275.27909375
transcript.pyannote[103].end 275.44784375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 275.44784375
transcript.pyannote[104].end 276.44346875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 277.03409375
transcript.pyannote[105].end 287.15909375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 287.58096875
transcript.pyannote[106].end 289.30221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 289.30221875
transcript.pyannote[107].end 289.40346875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 289.79159375
transcript.pyannote[108].end 289.80846875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 289.80846875
transcript.pyannote[109].end 290.02784375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 290.02784375
transcript.pyannote[110].end 291.91784375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 291.91784375
transcript.pyannote[111].end 291.93471875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 292.23846875
transcript.pyannote[112].end 293.89221875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 294.75284375
transcript.pyannote[113].end 295.05659375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 295.25909375
transcript.pyannote[114].end 297.46971875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 298.04346875
transcript.pyannote[115].end 302.88659375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 302.88659375
transcript.pyannote[116].end 302.95409375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 303.96659375
transcript.pyannote[117].end 303.98346875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 303.98346875
transcript.pyannote[118].end 314.91846875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 304.01721875
transcript.pyannote[119].end 305.09721875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 306.34596875
transcript.pyannote[120].end 307.22346875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 308.48909375
transcript.pyannote[121].end 308.75909375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 310.51409375
transcript.pyannote[122].end 310.53096875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 310.58159375
transcript.pyannote[123].end 312.38721875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 312.92721875
transcript.pyannote[124].end 313.23096875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 315.71159375
transcript.pyannote[125].end 316.85909375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 318.81659375
transcript.pyannote[126].end 319.17096875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 319.87971875
transcript.pyannote[127].end 321.36471875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 321.44909375
transcript.pyannote[128].end 322.96784375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 321.51659375
transcript.pyannote[129].end 325.80284375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 326.17409375
transcript.pyannote[130].end 327.08534375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 328.09784375
transcript.pyannote[131].end 329.70096875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 329.95409375
transcript.pyannote[132].end 333.10971875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 333.41346875
transcript.pyannote[133].end 334.59471875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 334.74659375
transcript.pyannote[134].end 335.13471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 335.32034375
transcript.pyannote[135].end 336.65346875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 336.70409375
transcript.pyannote[136].end 346.18784375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 340.97346875
transcript.pyannote[137].end 341.59784375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 343.70721875
transcript.pyannote[138].end 345.88409375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 346.55909375
transcript.pyannote[139].end 348.12846875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 348.95534375
transcript.pyannote[140].end 351.67221875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 352.21221875
transcript.pyannote[141].end 352.78596875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 353.46096875
transcript.pyannote[142].end 354.03471875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 354.28784375
transcript.pyannote[143].end 354.72659375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 354.99659375
transcript.pyannote[144].end 356.48159375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 357.25784375
transcript.pyannote[145].end 359.14784375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 359.46846875
transcript.pyannote[146].end 362.18534375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 362.74221875
transcript.pyannote[147].end 362.97846875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 362.97846875
transcript.pyannote[148].end 363.50159375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 364.19346875
transcript.pyannote[149].end 364.49721875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 364.71659375
transcript.pyannote[150].end 366.37034375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 367.02846875
transcript.pyannote[151].end 370.84221875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 370.30221875
transcript.pyannote[152].end 370.77471875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 370.84221875
transcript.pyannote[153].end 370.96034375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 370.96034375
transcript.pyannote[154].end 371.02784375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 371.16284375
transcript.pyannote[155].end 373.03596875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 373.25534375
transcript.pyannote[156].end 375.38159375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 373.54221875
transcript.pyannote[157].end 373.74471875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 375.65159375
transcript.pyannote[158].end 377.32221875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 377.50784375
transcript.pyannote[159].end 378.84096875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 378.36846875
transcript.pyannote[160].end 378.85784375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 378.85784375
transcript.pyannote[161].end 379.21221875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 379.46534375
transcript.pyannote[162].end 380.03909375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 380.03909375
transcript.pyannote[163].end 380.05596875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 380.05596875
transcript.pyannote[164].end 380.71409375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 380.71409375
transcript.pyannote[165].end 381.00096875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 381.00096875
transcript.pyannote[166].end 381.03471875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 381.03471875
transcript.pyannote[167].end 381.96284375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 381.96284375
transcript.pyannote[168].end 382.03034375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 382.03034375
transcript.pyannote[169].end 382.97534375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 382.97534375
transcript.pyannote[170].end 383.02596875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 383.02596875
transcript.pyannote[171].end 383.83596875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 383.97096875
transcript.pyannote[172].end 395.51346875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 393.94409375
transcript.pyannote[173].end 396.74534375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 395.85096875
transcript.pyannote[174].end 398.14596875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 397.80846875
transcript.pyannote[175].end 399.27659375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 399.27659375
transcript.pyannote[176].end 399.29346875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 399.41159375
transcript.pyannote[177].end 400.06971875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 401.63909375
transcript.pyannote[178].end 401.99346875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 404.89596875
transcript.pyannote[179].end 405.28409375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 406.38096875
transcript.pyannote[180].end 418.56471875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 406.76909375
transcript.pyannote[181].end 408.13596875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 416.55659375
transcript.pyannote[182].end 431.59221875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 431.67659375
transcript.pyannote[183].end 437.09346875
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 437.93721875
transcript.pyannote[184].end 439.16909375
transcript.whisperx[0].start 7.035
transcript.whisperx[0].end 29.373
transcript.whisperx[0].text 謝謝主席有請經濟部的何次長經濟部何次長其他長官如果有適合的要上來都可以委員好來請教就幾個問題第一個現在中東的帳戶都未洗以現在加拿大產業都很辛苦了
transcript.whisperx[1].start 30.731
transcript.whisperx[1].end 56.886
transcript.whisperx[1].text 那現在來講的話我們現在中油是怎麼樣所以說這個只要一漲價我們全部吸收是不是這個政策已經定了吸收到什麼程度各位報告我們現在有一個機制就是亞林最低價再加上專案平穩的機制這樣算出來的這個價格之後如果有調漲的話政府至少吸收六成
transcript.whisperx[2].start 57.986
transcript.whisperx[2].end 68.53
transcript.whisperx[2].text 這樣的一個機制在你這個就聽不清楚了你告訴我幾塊錢以上政府吸收多少幾塊錢以上吸收多少對 所以因為這個價格價格是浮動的它那個中油它它有一個禮拜的這樣的一個就國際油價的一個機制就是那個公司有包括那個像北海布蘭特原油啦
transcript.whisperx[3].start 86.557
transcript.whisperx[3].end 93.741
transcript.whisperx[3].text 還有一些像杜拜等等這些它是綜合起來去核算那個油價所以現在還是變動當中的是
transcript.whisperx[4].start 104.327
transcript.whisperx[4].end 107.431
transcript.whisperx[4].text 現在很難去估算說這個禮拜大概是會漲或漲到多少錢上個禮拜是沒有漲但是終有吸收大概9塊10塊的這樣的一個金額
transcript.whisperx[5].start 125.475
transcript.whisperx[5].end 152.377
transcript.whisperx[5].text 前幾天我們在別國委員會已經有聽到你們講了小黃長官講了所以中午現在吸收了33億對 兩個禮拜兩個禮拜吸收33億如果按照這個tempo來等於一個禮拜吸收16億左右是不是這個樣子第二個禮拜吸收比較多啦第一個禮拜因為油價還沒有大幅漲第二個禮拜吸收多少好像是不是20幾
transcript.whisperx[6].start 155.989
transcript.whisperx[6].end 175.9
transcript.whisperx[6].text 20億啦 20億啦所以平均如果現在油價一直在高檔 賞味數所以我們大概一個禮拜就要20億所以如果打現在說要打什麼4個禮拜 那是不止可能打到9月 現在3月打到9月還有半年的時間 乘以4大概20幾個禮拜 20個禮拜好了那就是400億囉
transcript.whisperx[7].start 181.241
transcript.whisperx[7].end 205.349
transcript.whisperx[7].text 差不多這個譜喔 是不是這樣子算我這樣講 我這個邏輯對不對 請問你對不對當然就是國際油價我這樣講對不對啦 請問你啦當然這是概估啦 這是一個情境啦你們這樣講 不離譜的概估啦我這樣講對吧所以如果再打半年 中油就要再吸收400億啊中油現在是多少錢啊
transcript.whisperx[8].start 206.329
transcript.whisperx[8].end 230.771
transcript.whisperx[8].text 所以我們現在那個終於有提了一個增資計畫3500億送到行政院那行政院如果有核定的話我們還送到立法院所以還是全民買單嘛現在來看的話我們就看一個東西啦就現在除了這個之外請問關稅的部分是不是現在都停擺了ART都沒有了 對吧現在我們在等那個美國那邊通知你都沒有嘛
transcript.whisperx[9].start 231.912
transcript.whisperx[9].end 256.064
transcript.whisperx[9].text 通通等於沒有嘛 但是汽車的進口 零關稅這是不是確定的這目前也都還在ART的生效ART裡面就是零關稅啊ART裡面的零關稅 對吧是是是 我們現在要送到還是要送到大院這邊來我知道啦 但是ART裡面就是零關稅嘛那就很多的業者就提到了
transcript.whisperx[10].start 256.784
transcript.whisperx[10].end 276.215
transcript.whisperx[10].text 你們在不同場合要講的關鍵零組件比如說引擎啦 別墅箱啦是否也可以降為零關稅當然這個引擎不一定只有從美國來喔因為從日本來的引擎我們要零關稅從北京來的別墅箱也要零關稅這一點你們要不要提出來
transcript.whisperx[11].start 277.362
transcript.whisperx[11].end 302.859
transcript.whisperx[11].text 當然我們也要跟財政部我們有給財政部這邊有一個公文我們也請大家是不是可以檢討這個部分你們是不是就這樣定經濟部的立場就希望關鍵零組件這個引擎變速箱等等等希望關稅降回零 你有沒有對財政部提出這樣的訴求 有沒有
transcript.whisperx[12].start 304.005
transcript.whisperx[12].end 310.969
transcript.whisperx[12].text 我們有發文 因為這個是公會這邊提出來的建議經過你們的評論是結束了對不對總共幾項 關鍵你裡面幾項幾項 幾項是不是委員我們會後再給你拿好 會後再給我可以但是我要提醒你一點 你不要忘了
transcript.whisperx[13].start 328.14
transcript.whisperx[13].end 347.979
transcript.whisperx[13].text 不要忘了這個汽車台南的汽車廠跟台南的零組件業總共幾十萬人喔是三十萬人吧對不對如果把上下游啦這全部都加起來啦從業大概八萬大概八萬九萬上下游加起來三十萬嗎對不對三十萬人的生計啊
transcript.whisperx[14].start 348.991
transcript.whisperx[14].end 363.08
transcript.whisperx[14].text 對不對 如果零關稅這些幾乎都垮了吧 主啊求你啊 我請問如果零關稅沒有任何因應的措施這些廠是不是幾乎都要關門對不對我這樣講對不對是 其實是
transcript.whisperx[15].start 367.063
transcript.whisperx[15].end 383.023
transcript.whisperx[15].text 我們這個是針對美國汽車進口的部分那當然有它的衝擊在那我現在也有一個因應的做法我們這個在特別預算也提出了我問你會不會關門啦三十幾萬人會不會沒有投入啦問你這個啦是
transcript.whisperx[16].start 384.725
transcript.whisperx[16].end 401.936
transcript.whisperx[16].text 我們影響的程度大概是會影響這個產值大概是1.941.94%然後那個我們也在特別預算裡面10月人口多少比較關心10月人口的部分10月人數多少我們就
transcript.whisperx[17].start 406.454
transcript.whisperx[17].end 426.105
transcript.whisperx[17].text 目前來講這個就業人口是7.3萬但是失業人口的部分是不是會有我再提供給委員這個資料因為這個我們是有一個公示我現在手中我需要這個資料但是我就確定你剛才所講的你已經把關鍵民主界希望關稅降為0這個數據我告訴財政部
transcript.whisperx[18].start 427.787
transcript.whisperx[18].end 435.26
transcript.whisperx[18].text 這句話是對的 是的 對吧那每個禮拜大概補貼這中油的吸收大概20億左右每個禮拜20億就這樣子 好 謝謝謝謝賴市長