iVOD / 160514

Field Value
IVOD_ID 160514
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160514
日期 2025-04-23
會議資料.會議代碼 委員會-11-3-20-9
會議資料.會議代碼:str 第11屆第3會期財政委員會第9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 9
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第3會期財政委員會第9次全體委員會議
影片種類 Clip
開始時間 2025-04-23T10:53:33+08:00
結束時間 2025-04-23T11:06:38+08:00
影片長度 00:13:05
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/27ac2f54fdf75cc03154d74b9c88f802c0f390e692fb4f249a3354dc8dbd3a62cb86eaca5078d11d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 10:53:33 - 11:06:38
會議時間 2025-04-23T09:00:00+08:00
會議名稱 立法院第11屆第3會期財政委員會第9次全體委員會議(事由:一、審查「貨物稅條例」34案: (一) 本院委員葉元之等21人擬具「貨物稅條例刪除部分條文草案」案。 (二) 本院委員廖先翔等16人擬具「貨物稅條例刪除第八條條文草案」案。 (三) 本院台灣民眾黨黨團擬具「貨物稅條例第十一條、第十一條之一及第三十七條條文修正草案」案。 (四) 本院委員邱若華等20人擬具「貨物稅條例第十一條條文修正草案」案。 (五) 本院委員魯明哲等16人、委員顏寬恒等19人、委員羅廷瑋等16人、委員賴士葆等21人、委員邱鎮軍等22人、委員徐欣瑩等27人、委員翁曉玲等17人、委員羅明才等16人、委員郭國文等17人、委員王鴻薇等24人、委員廖偉翔等17人、委員許宇甄等21人、委員黃建賓等16人、委員林思銘等21人、委員萬美玲等16人分別擬具「貨物稅條例第十一條之一條文修正草案」等15案。 (六) 本院委員李坤城等24人擬具「貨物稅條例第十一條之一、第十二條之五及第十二條之六條文修正草案」案。 (七) 本院委員鄭天財Sra Kacaw等19人、委員林思銘等19人、委員涂權吉等17人、委員陳玉珍等19人、委員馬文君等18人、委員王世堅等19人、委員張智倫等25人、委員魯明哲等16人、委員王鴻薇等19人、委員楊瓊瓔等20人、委員邱鎮軍等24人、委員萬美玲等18人、委員廖偉翔等17人分別擬具「貨物稅條例第十二條條文修正草案」等13案。 (八) 本院委員邱鎮軍等19人擬具「貨物稅條例第十二條之三條文修正草案」案。 二、審查人民請願案有關「貨物稅條例」7案。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 10.54409375
transcript.pyannote[0].end 21.24284375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 21.24284375
transcript.pyannote[1].end 23.65596875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 25.51221875
transcript.pyannote[2].end 25.96784375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 26.81159375
transcript.pyannote[3].end 36.21096875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 36.53159375
transcript.pyannote[4].end 37.00409375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 37.15596875
transcript.pyannote[5].end 37.57784375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 37.86471875
transcript.pyannote[6].end 39.88971875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 41.17221875
transcript.pyannote[7].end 41.72909375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 41.94846875
transcript.pyannote[8].end 42.79221875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 42.65721875
transcript.pyannote[9].end 42.96096875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 42.80909375
transcript.pyannote[10].end 42.82596875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 42.84284375
transcript.pyannote[11].end 43.36596875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 43.95659375
transcript.pyannote[12].end 46.26846875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 47.70284375
transcript.pyannote[13].end 50.21721875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 50.16659375
transcript.pyannote[14].end 54.28409375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 51.01034375
transcript.pyannote[15].end 51.93846875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 53.84534375
transcript.pyannote[16].end 55.88721875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 56.22471875
transcript.pyannote[17].end 58.89096875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 59.46471875
transcript.pyannote[18].end 60.03846875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 60.25784375
transcript.pyannote[19].end 60.81471875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 61.15221875
transcript.pyannote[20].end 62.70471875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 63.12659375
transcript.pyannote[21].end 65.57346875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 65.79284375
transcript.pyannote[22].end 68.74596875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 69.11721875
transcript.pyannote[23].end 71.51346875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 69.87659375
transcript.pyannote[24].end 78.02721875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 78.46596875
transcript.pyannote[25].end 78.88784375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 79.24221875
transcript.pyannote[26].end 81.41909375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 81.87471875
transcript.pyannote[27].end 83.42721875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 83.84909375
transcript.pyannote[28].end 84.03471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 84.23721875
transcript.pyannote[29].end 84.64221875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 85.70534375
transcript.pyannote[30].end 87.03846875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 87.15659375
transcript.pyannote[31].end 89.53596875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 90.24471875
transcript.pyannote[32].end 90.32909375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 90.32909375
transcript.pyannote[33].end 91.03784375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 91.52721875
transcript.pyannote[34].end 105.88784375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 102.49596875
transcript.pyannote[35].end 104.21721875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 106.02284375
transcript.pyannote[36].end 106.41096875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 106.54596875
transcript.pyannote[37].end 114.59534375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 108.58784375
transcript.pyannote[38].end 109.27971875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 114.83159375
transcript.pyannote[39].end 118.64534375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 119.69159375
transcript.pyannote[40].end 121.44659375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 121.54784375
transcript.pyannote[41].end 129.27659375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 130.23846875
transcript.pyannote[42].end 139.38471875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 139.38471875
transcript.pyannote[43].end 144.12659375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 144.00846875
transcript.pyannote[44].end 144.58221875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 144.58221875
transcript.pyannote[45].end 153.12096875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 154.55534375
transcript.pyannote[46].end 156.02346875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 156.25971875
transcript.pyannote[47].end 160.14096875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 160.44471875
transcript.pyannote[48].end 163.65096875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 163.83659375
transcript.pyannote[49].end 166.75596875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 167.24534375
transcript.pyannote[50].end 173.40471875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 173.82659375
transcript.pyannote[51].end 174.26534375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 173.94471875
transcript.pyannote[52].end 175.44659375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 176.39159375
transcript.pyannote[53].end 181.69034375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 176.98221875
transcript.pyannote[54].end 178.80471875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 181.06596875
transcript.pyannote[55].end 182.17971875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 182.75346875
transcript.pyannote[56].end 188.25471875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 183.05721875
transcript.pyannote[57].end 183.07409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 188.47409375
transcript.pyannote[58].end 189.68909375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 189.94221875
transcript.pyannote[59].end 192.86159375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 193.65471875
transcript.pyannote[60].end 196.03409375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 194.17784375
transcript.pyannote[61].end 195.02159375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 195.39284375
transcript.pyannote[62].end 201.50159375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 201.77159375
transcript.pyannote[63].end 203.34096875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 204.25221875
transcript.pyannote[64].end 204.87659375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 205.21409375
transcript.pyannote[65].end 206.78346875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 207.15471875
transcript.pyannote[66].end 207.76221875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 207.84659375
transcript.pyannote[67].end 209.16284375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 209.31471875
transcript.pyannote[68].end 211.23846875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 211.32284375
transcript.pyannote[69].end 212.35221875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 212.57159375
transcript.pyannote[70].end 213.88784375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 214.27596875
transcript.pyannote[71].end 215.76096875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 216.79034375
transcript.pyannote[72].end 218.46096875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 218.54534375
transcript.pyannote[73].end 219.76034375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 220.40159375
transcript.pyannote[74].end 221.76846875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 223.20284375
transcript.pyannote[75].end 225.80159375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 226.03784375
transcript.pyannote[76].end 227.60721875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 227.64096875
transcript.pyannote[77].end 231.65721875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 232.12971875
transcript.pyannote[78].end 248.12721875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 248.19471875
transcript.pyannote[79].end 248.83596875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 249.29159375
transcript.pyannote[80].end 250.65846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 251.21534375
transcript.pyannote[81].end 251.73846875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 252.46409375
transcript.pyannote[82].end 253.64534375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 254.86034375
transcript.pyannote[83].end 255.01221875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 255.21471875
transcript.pyannote[84].end 256.04159375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 256.12596875
transcript.pyannote[85].end 257.18909375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 257.35784375
transcript.pyannote[86].end 260.10846875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 260.19284375
transcript.pyannote[87].end 260.98596875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 261.22221875
transcript.pyannote[88].end 261.96471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 262.63971875
transcript.pyannote[89].end 264.95159375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 265.45784375
transcript.pyannote[90].end 267.61784375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 267.88784375
transcript.pyannote[91].end 272.05596875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 273.23721875
transcript.pyannote[92].end 273.74346875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 274.11471875
transcript.pyannote[93].end 276.00471875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 276.47721875
transcript.pyannote[94].end 277.23659375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 277.67534375
transcript.pyannote[95].end 279.46409375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 279.59909375
transcript.pyannote[96].end 281.03346875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 281.21909375
transcript.pyannote[97].end 282.73784375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 283.17659375
transcript.pyannote[98].end 284.10471875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 284.57721875
transcript.pyannote[99].end 286.95659375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 287.29409375
transcript.pyannote[100].end 290.61846875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 291.32721875
transcript.pyannote[101].end 304.54034375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 305.55284375
transcript.pyannote[102].end 306.36284375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 306.61596875
transcript.pyannote[103].end 308.70846875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 309.51846875
transcript.pyannote[104].end 313.02846875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 313.41659375
transcript.pyannote[105].end 314.53034375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 315.40784375
transcript.pyannote[106].end 318.05721875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 318.31034375
transcript.pyannote[107].end 320.94284375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 321.93846875
transcript.pyannote[108].end 323.55846875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 323.92971875
transcript.pyannote[109].end 327.96284375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 328.36784375
transcript.pyannote[110].end 330.79784375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 331.05096875
transcript.pyannote[111].end 332.55284375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 332.89034375
transcript.pyannote[112].end 335.92784375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 335.97846875
transcript.pyannote[113].end 336.02909375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 336.36659375
transcript.pyannote[114].end 339.64034375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 336.67034375
transcript.pyannote[115].end 336.68721875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 339.31971875
transcript.pyannote[116].end 344.06159375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 342.12096875
transcript.pyannote[117].end 344.85471875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 345.42846875
transcript.pyannote[118].end 359.70471875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 360.16034375
transcript.pyannote[119].end 370.89284375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 362.20221875
transcript.pyannote[120].end 362.26971875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 362.26971875
transcript.pyannote[121].end 363.45096875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 367.04534375
transcript.pyannote[122].end 370.92659375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 370.92659375
transcript.pyannote[123].end 370.94346875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 372.39471875
transcript.pyannote[124].end 373.30596875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 373.60971875
transcript.pyannote[125].end 376.69784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 376.93409375
transcript.pyannote[126].end 379.21221875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 379.98846875
transcript.pyannote[127].end 380.91659375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 380.93346875
transcript.pyannote[128].end 380.95034375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 380.95034375
transcript.pyannote[129].end 382.46909375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 381.27096875
transcript.pyannote[130].end 381.33846875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 381.54096875
transcript.pyannote[131].end 383.32971875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 383.65034375
transcript.pyannote[132].end 384.93284375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 385.32096875
transcript.pyannote[133].end 387.56534375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 386.23221875
transcript.pyannote[134].end 387.41346875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 387.81846875
transcript.pyannote[135].end 390.68721875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 388.74659375
transcript.pyannote[136].end 391.15971875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 391.15971875
transcript.pyannote[137].end 391.54784375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 391.66596875
transcript.pyannote[138].end 393.97784375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 391.73346875
transcript.pyannote[139].end 394.80471875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 395.24346875
transcript.pyannote[140].end 396.57659375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 397.80846875
transcript.pyannote[141].end 401.38596875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 402.04409375
transcript.pyannote[142].end 402.75284375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 403.27596875
transcript.pyannote[143].end 408.59159375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 407.54534375
transcript.pyannote[144].end 408.67596875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 409.40159375
transcript.pyannote[145].end 409.90784375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 409.90784375
transcript.pyannote[146].end 414.12659375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 414.97034375
transcript.pyannote[147].end 416.64096875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 417.19784375
transcript.pyannote[148].end 421.06221875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 421.34909375
transcript.pyannote[149].end 423.23909375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 423.71159375
transcript.pyannote[150].end 426.42846875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 426.93471875
transcript.pyannote[151].end 429.33096875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 427.40721875
transcript.pyannote[152].end 433.63409375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 434.24159375
transcript.pyannote[153].end 435.03471875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 435.23721875
transcript.pyannote[154].end 436.30034375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 436.99221875
transcript.pyannote[155].end 438.47721875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 438.73034375
transcript.pyannote[156].end 439.05096875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 439.40534375
transcript.pyannote[157].end 440.41784375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 440.95784375
transcript.pyannote[158].end 442.25721875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 441.85221875
transcript.pyannote[159].end 445.46346875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 446.12159375
transcript.pyannote[160].end 446.88096875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 447.01596875
transcript.pyannote[161].end 448.77096875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 449.53034375
transcript.pyannote[162].end 451.04909375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 451.50471875
transcript.pyannote[163].end 454.66034375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 454.99784375
transcript.pyannote[164].end 457.52909375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 457.59659375
transcript.pyannote[165].end 458.72721875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 459.21659375
transcript.pyannote[166].end 460.07721875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 460.46534375
transcript.pyannote[167].end 460.76909375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 461.56221875
transcript.pyannote[168].end 462.20346875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 462.69284375
transcript.pyannote[169].end 465.96659375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 466.48971875
transcript.pyannote[170].end 467.87346875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 467.48534375
transcript.pyannote[171].end 468.53159375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 468.53159375
transcript.pyannote[172].end 468.68346875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 469.03784375
transcript.pyannote[173].end 470.99534375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 471.34971875
transcript.pyannote[174].end 472.21034375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 472.61534375
transcript.pyannote[175].end 476.74971875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 477.76221875
transcript.pyannote[176].end 481.37346875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 481.79534375
transcript.pyannote[177].end 482.30159375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 482.30159375
transcript.pyannote[178].end 482.77409375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 482.84159375
transcript.pyannote[179].end 487.93784375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 488.41034375
transcript.pyannote[180].end 498.88971875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 498.94034375
transcript.pyannote[181].end 502.12971875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 502.29846875
transcript.pyannote[182].end 502.61909375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 502.61909375
transcript.pyannote[183].end 504.62721875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 505.09971875
transcript.pyannote[184].end 507.47909375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 508.13721875
transcript.pyannote[185].end 508.94721875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 509.92596875
transcript.pyannote[186].end 511.02284375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 511.37721875
transcript.pyannote[187].end 518.39721875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 518.80221875
transcript.pyannote[188].end 522.97034375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 523.66221875
transcript.pyannote[189].end 525.78846875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 526.12596875
transcript.pyannote[190].end 526.71659375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 527.22284375
transcript.pyannote[191].end 530.80034375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 531.07034375
transcript.pyannote[192].end 532.01534375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 532.42034375
transcript.pyannote[193].end 533.63534375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 534.76596875
transcript.pyannote[194].end 535.47471875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 536.47034375
transcript.pyannote[195].end 537.95534375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 538.25909375
transcript.pyannote[196].end 540.60471875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 540.99284375
transcript.pyannote[197].end 542.07284375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 542.07284375
transcript.pyannote[198].end 542.54534375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 543.03471875
transcript.pyannote[199].end 547.81034375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 547.92846875
transcript.pyannote[200].end 549.54846875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 549.90284375
transcript.pyannote[201].end 550.13909375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 550.45971875
transcript.pyannote[202].end 552.87284375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 553.69971875
transcript.pyannote[203].end 554.89784375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 555.67409375
transcript.pyannote[204].end 559.04909375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 559.53846875
transcript.pyannote[205].end 561.90096875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 562.39034375
transcript.pyannote[206].end 565.44471875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 565.90034375
transcript.pyannote[207].end 569.52846875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 569.76471875
transcript.pyannote[208].end 570.67596875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 570.87846875
transcript.pyannote[209].end 572.38034375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 574.03409375
transcript.pyannote[210].end 579.99096875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 578.33721875
transcript.pyannote[211].end 584.86784375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 585.35721875
transcript.pyannote[212].end 587.85471875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 588.07409375
transcript.pyannote[213].end 595.02659375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 595.33034375
transcript.pyannote[214].end 597.57471875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 597.82784375
transcript.pyannote[215].end 598.84034375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 599.21159375
transcript.pyannote[216].end 601.10159375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 601.89471875
transcript.pyannote[217].end 609.26909375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 608.71221875
transcript.pyannote[218].end 610.60221875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 611.22659375
transcript.pyannote[219].end 614.16284375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 614.66909375
transcript.pyannote[220].end 619.84971875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 620.22096875
transcript.pyannote[221].end 621.50346875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 622.34721875
transcript.pyannote[222].end 628.69221875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 629.04659375
transcript.pyannote[223].end 629.97471875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 630.44721875
transcript.pyannote[224].end 634.02471875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 634.42971875
transcript.pyannote[225].end 634.91909375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 635.27346875
transcript.pyannote[226].end 636.50534375
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 636.91034375
transcript.pyannote[227].end 638.00721875
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 638.85096875
transcript.pyannote[228].end 641.97284375
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 639.44159375
transcript.pyannote[229].end 641.31471875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 641.68596875
transcript.pyannote[230].end 642.83346875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 643.47471875
transcript.pyannote[231].end 646.46159375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 647.00159375
transcript.pyannote[232].end 647.99721875
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 648.30096875
transcript.pyannote[233].end 650.98409375
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 651.28784375
transcript.pyannote[234].end 652.13159375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 652.68846875
transcript.pyannote[235].end 653.24534375
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 653.80221875
transcript.pyannote[236].end 654.37596875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 654.88221875
transcript.pyannote[237].end 655.48971875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 655.89471875
transcript.pyannote[238].end 661.69971875
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 661.90221875
transcript.pyannote[239].end 663.01596875
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 663.25221875
transcript.pyannote[240].end 665.20971875
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 665.63159375
transcript.pyannote[241].end 670.12034375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 670.99784375
transcript.pyannote[242].end 673.83284375
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 673.00596875
transcript.pyannote[243].end 673.17471875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 674.18721875
transcript.pyannote[244].end 674.62596875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 674.67659375
transcript.pyannote[245].end 679.72221875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 680.61659375
transcript.pyannote[246].end 681.47721875
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 683.09721875
transcript.pyannote[247].end 684.53159375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 683.94096875
transcript.pyannote[248].end 686.65784375
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 684.70034375
transcript.pyannote[249].end 687.87284375
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 687.87284375
transcript.pyannote[250].end 688.02471875
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 688.09221875
transcript.pyannote[251].end 688.22721875
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 688.37909375
transcript.pyannote[252].end 691.09596875
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 691.97346875
transcript.pyannote[253].end 694.30221875
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 694.74096875
transcript.pyannote[254].end 696.64784375
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 696.91784375
transcript.pyannote[255].end 698.52096875
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 698.55471875
transcript.pyannote[256].end 702.35159375
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 702.85784375
transcript.pyannote[257].end 708.20721875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 708.08909375
transcript.pyannote[258].end 713.97846875
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 714.26534375
transcript.pyannote[259].end 720.76221875
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 720.88034375
transcript.pyannote[260].end 729.08159375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 729.62159375
transcript.pyannote[261].end 733.84034375
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 733.08096875
transcript.pyannote[262].end 733.68846875
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 734.26221875
transcript.pyannote[263].end 736.38846875
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 737.36721875
transcript.pyannote[264].end 738.00846875
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 738.71721875
transcript.pyannote[265].end 738.73409375
transcript.pyannote[266].speaker SPEAKER_00
transcript.pyannote[266].start 738.73409375
transcript.pyannote[266].end 739.89846875
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 739.86471875
transcript.pyannote[267].end 743.15534375
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 741.19784375
transcript.pyannote[268].end 743.05409375
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 743.34096875
transcript.pyannote[269].end 744.99471875
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 745.12971875
transcript.pyannote[270].end 745.93971875
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 745.50096875
transcript.pyannote[271].end 747.55971875
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 748.74096875
transcript.pyannote[272].end 758.81534375
transcript.pyannote[273].speaker SPEAKER_00
transcript.pyannote[273].start 749.48346875
transcript.pyannote[273].end 750.42846875
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 752.28471875
transcript.pyannote[274].end 753.28034375
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 757.60034375
transcript.pyannote[275].end 758.64659375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 759.28784375
transcript.pyannote[276].end 764.40096875
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 760.46909375
transcript.pyannote[277].end 766.40909375
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 764.55284375
transcript.pyannote[278].end 769.69971875
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 768.21471875
transcript.pyannote[279].end 770.57721875
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 769.71659375
transcript.pyannote[280].end 770.42534375
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 770.47596875
transcript.pyannote[281].end 770.94846875
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 770.88096875
transcript.pyannote[282].end 774.42471875
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 773.88471875
transcript.pyannote[283].end 776.71971875
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 777.04034375
transcript.pyannote[284].end 778.54221875
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 783.26721875
transcript.pyannote[285].end 785.29221875
transcript.whisperx[0].start 10.738
transcript.whisperx[0].end 34.124
transcript.whisperx[0].text 主席 再當委員先進列席了政府金管署長 官員會長 工作夥伴 媒體記者 女士先生有請財政部理事長也請我們的護稅署宋署長和國庫署的陳署長好 理事長齁 宋署長 陳署長委員早安次長早 兩位署長早我的標題呢 護護稅不是非關稅貿易障礙飲料品類比車輛類更要檢討來 先請教一下關稅 今天的題目請問 次長關稅會不會影響兩國的貿易量
transcript.whisperx[1].start 41.254
transcript.whisperx[1].end 48.459
transcript.whisperx[1].text 會影響嘛所以嚴格來講關稅可不可以視為一種貿易障礙會影響貿易的進行嗎通常是貿易談判一個很重要的因素那什麼叫做非關稅的貿易障礙譬如說進口農產品的農藥檢測會造成外國農產品輸入困難會不會被當作一種非關稅的貿易障礙
transcript.whisperx[2].start 70.062
transcript.whisperx[2].end 89.302
transcript.whisperx[2].text 會嘛,很好,我們來看一下,我們來看一下,川普他21號發文,他說非關稅的作弊有八成,他用作弊喔,他不是說障礙喔他說,台灣我看來看去,貨幣超重,台灣有沒有被列入觀察名單?有轉運逃避關稅,有沒有被擔心台灣來作為席產地?
transcript.whisperx[3].start 90.422
transcript.whisperx[3].end 118.111
transcript.whisperx[3].text 有可能但是有一個像什麼補貼傾銷所謂的補貼跟傾銷我相信是沒有啦最近你們財政部國庫署做一個很好的事情有些中國產製的啤酒冒充本地的啤酒我們要嚴格的加以稽查你們有提高他的罰則 有沒有好 那給我們陳署長一個鼓勵該做的事要做好 台灣有沒有傾銷有沒有補貼但是有沒有利用增值稅變相實施關稅跟出國補貼有沒有 台灣有沒有
transcript.whisperx[4].start 119.815
transcript.whisperx[4].end 129.059
transcript.whisperx[4].text 其實嚴格講起來應該是沒有你認為沒有好那我們來問一下請問貨物稅算不算一種利用增值稅變相實施關稅與出口補貼的手段
transcript.whisperx[5].start 130.267
transcript.whisperx[5].end 149.492
transcript.whisperx[5].text 沒有 其實我們貨物稅的課程是就是國內外大家都是公平對待而且世界各國都一樣它就是一個一般的稅一般的特種消費稅所以貨物稅會不會造成兩國貿易量的下降是不是一種非關稅的貿易障礙不會不會 好 很好 肯定答案好 那我們來看一看今天來談貨物稅我們就來談貨物稅 謝謝陳署長可以請回了口頭嘉獎過了 謝謝好 我們看一下
transcript.whisperx[6].start 156.914
transcript.whisperx[6].end 175.005
transcript.whisperx[6].text 來這是你們財政部石料研究室的南京政府時期有三種麵粉捲煙後來棉紗火柴水泥這五種後來要加上了酒跟煙這幾種這九種稅呢成為在二次大戰當時國民政府的重要財源是不是哪一項不是為了充裕國庫
transcript.whisperx[7].start 178.51
transcript.whisperx[7].end 202.848
transcript.whisperx[7].text 他就是一個重要的就是財政收入那都找誰收找實業家嘛當年能製造麵粉的能製造火柴的能製造棉紗的都是實業家工廠在那裡你政府要跟他課稅他跑得掉嗎跑不掉嘛所以你們就是對這些有錢的實業家課稅當然他會轉嫁到消費者身上好 還有一種稅 往下看民國18年的一個報告
transcript.whisperx[8].start 205.239
transcript.whisperx[8].end 221.308
transcript.whisperx[8].text 捲菸它是奢侈品而且會傷肺、弱腦、傷經前在場抽菸的18年前民國上班就這樣做了它變成健康菌的概念現在捲菸算不算貨物稅不課貨物稅課菸酒稅課菸酒稅好往下看所以現在貨物稅拿幾種
transcript.whisperx[9].start 223.237
transcript.whisperx[9].end 251.3
transcript.whisperx[9].text 我們有橡膠輪胎 油氣 電氣 車輛水泥 飲料品 平板玻璃我看了一下你們在民國九十一年你們自己財政部內部的一個貨物稅之檢討距今已經二十四年 二十三年了他說輪胎這個有公共汙染油氣類要節約能源電氣類會消耗能源車輛類會造成交通堵塞這些都有外部成本所以科貨物稅的目的是要怎樣要把外部成本內部化是這樣嗎
transcript.whisperx[10].start 252.641
transcript.whisperx[10].end 271.829
transcript.whisperx[10].text 這是你們自己寫的喔是是這樣喔好可是我搞不懂呢水泥飲料平板玻璃為什麼要課貨物稅水泥說減便因為很容易課稅你就減便就收飲料跟平板玻璃是為了財政目的財政目的收入目的那麼多為什麼找這兩個目的來下手為什麼
transcript.whisperx[11].start 274.215
transcript.whisperx[11].end 290.063
transcript.whisperx[11].text 呃就是課程上也是便利啦便利嘛好抽的就盡量給他抽啦我要叫他思考一下我們看一下貨物稅現在佔比多不多1600億佔我們總稅收的4.3%要充裕國庫實在不需要找貨物稅而且你們還不斷的減免
transcript.whisperx[12].start 291.52
transcript.whisperx[12].end 320.32
transcript.whisperx[12].text 貨物稅十一條之一十二條都是車輛能源效率往下看接下來貨物稅十二之三十二之五通通都是為了什麼拿在手裡然後呢給一些政策性的鼓勵所以現在貨物稅是不是變成政府的一個政策手段都點頭嘛我跟你講我一個朋友啦大家輕鬆一點齁他說他老婆手上那個鑽戒齁我說那個不是鑽戒嗎他說不是那叫小美本我說什麼叫小美本你老婆手上的鑽戒叫小美本說每次老婆跟我吵架我就說我有買鑽戒給你喔
transcript.whisperx[13].start 321.991
transcript.whisperx[13].end 344.456
transcript.whisperx[13].text 所以我覺得政府開貨物稅啊 每當人民覺得對政府不滿覺得這個不滿 那我貨物稅給你調降一下貨物稅變成政府跟人民的小美本欸你們現在有沒有貨物稅都是在延長啊 免稅啊 抵免啊 有沒有然後時間到了呢 大家又來延長啊 抵免啊 是不是這樣可是它確實是一個政策工具 它可以改變我們消費制度是的 可是你這個政策工具有問題 我們往下看
transcript.whisperx[14].start 345.496
transcript.whisperx[14].end 370.678
transcript.whisperx[14].text 你的財稅目的 你的徵收目的 貨物稅來是貨物稅的目的 貨物稅 固定稅率 有錢人沒有錢人都一樣有錢人他消費的占比低 沒有錢人他消費的占比高所以形同是一種窮人稅 你同不同意這個不能這樣解釋啦 因為貨物稅不是單一費率嗎因為它就是一個消費稅 消費稅的性質就是你認為它是消費稅 那為什麼這七項消費稅 我們來看一下
transcript.whisperx[15].start 372.455
transcript.whisperx[15].end 396.289
transcript.whisperx[15].text 橡膠輪胎 油氣類 電氣類 車輛類 水泥類 飲料類 平板玻璃目前哪一個貢獻 稅務貢獻度最高車輛吧車輛 哪個貢獻度最低油漆跟車輛 對貢獻度最低的是哪一個飲料還是玻璃玻璃吧玻璃玻璃是很好的 飲料也很低啦所以哪些是有錢人用比較有錢人開車 一般人就喝飲料
transcript.whisperx[16].start 397.881
transcript.whisperx[16].end 413.924
transcript.whisperx[16].text 有錢的人跟一般的人的消費品你們都給他課同樣的稅這合理嗎?可是因為消費稅它的性質就是這樣那為什麼只有這七種?對啊你說不出來啊既然是消費稅為什麼只有七種?來往下看
transcript.whisperx[17].start 415.017
transcript.whisperx[17].end 435.398
transcript.whisperx[17].text 所以說現在請你們檢討啊高必需性高普及性的民生用品要調整啊避免變成是對窮人瞌睡啊有錢人在喝飲料還是一般人在喝飲料都喝差不多的錢嘛難不成比較有錢人喝得非常的貴沒有他們喝很貴的飲料呢都是菸酒稅啦我們來看一下我們來談飲品齁
transcript.whisperx[18].start 437.04
transcript.whisperx[18].end 460.5
transcript.whisperx[18].text 目前飲料有沒有免稅的有什麼樣的飲品免稅天然 純天然的 天然的統合純天然的都免稅對不對那可是呢你們現在還規定很嚴格喔純天然的果汁跟蔬菜汁必須符合國家標準然後呢如果把這兩種混合的也可以免稅分得好細啊A
transcript.whisperx[19].start 461.581
transcript.whisperx[19].end 476.29
transcript.whisperx[19].text 可以免稅B可以免稅所以A加B就可以免稅是不是這樣子對 兩個都一樣好 那往下看現在如果A加B加C這個C還沒有被國家標準認定是純天然的那要不要繳稅
transcript.whisperx[20].start 478.213
transcript.whisperx[20].end 507.273
transcript.whisperx[20].text 呃如果還沒有被認定當然可能就是課稅範圍啦是啊是所以你來看齁現在很多的市售果汁是把很多調在一起他強調都是天然的都沒有加水都是百分之百但是呢必須在CNS有項目的可以只要他放了一個項目是CNS上沒有的就要按照什麼按照8%的稅是不是這樣子是好那這個很不簡正便宜嘛往下看你看看條文往前往前再往前
transcript.whisperx[21].start 508.173
transcript.whisperx[21].end 532.984
transcript.whisperx[21].text 你來看一下喔你們怎麼證明貨物稅證明的認定要主管機關的證明文件是由進口或產製者憑主管機關工業、能源或交通主管機關然後呢來給我們的貨稅的主管機關來證明那麼呢基增機關因洽主管機關提供經驗後注意這幾個字喔本於職權誰的職權
transcript.whisperx[22].start 536.536
transcript.whisperx[22].end 554.734
transcript.whisperx[22].text 所以基深機關的職權還是所謂的交通能源工業機關的職權基深機關的職權是嘛所以說國家標準有沒有符合最後你們要不要認定它是百分之百的天然果菜汁一樣由你們來認定嘛對不對是但是現在情況不是這樣我告訴你來往下看所以現在呢往下看
transcript.whisperx[23].start 555.914
transcript.whisperx[23].end 572.231
transcript.whisperx[23].text 現在呢 我們的情況是 我們很多的飲料強調機能 強調健康 百分之百但是他把他的果菜汁當中有一項只要不在現在的國家標準檢驗局的項目當中你們就給他磕8%的稅 你認為合不合理
transcript.whisperx[24].start 575.06
transcript.whisperx[24].end 600.897
transcript.whisperx[24].text 這個當然就是要看他事實上是不是最後還是符合他要 你知道嗎 國家標準檢驗局檢查一個產品少則半年多則一年這半年一年的貨物稅你要怎麼賠他他如果檢驗出來是說我A加B加C A你們已經證明是純天然 B也是純天然C呢我送去國家標準檢驗局檢查後 證明是天然那我過去這段時間繳的稅要不要退
transcript.whisperx[25].start 601.869
transcript.whisperx[25].end 603.41
transcript.whisperx[25].text 所以說我現在先做第二點請就以立案申請並切決的CNS國家標準五項目的純天然果汁
transcript.whisperx[26].start 622.403
transcript.whisperx[26].end 646.26
transcript.whisperx[26].text 我說我在做純天然果汁有很多的果品跟蔬菜品其中幾個項目還沒取得國家標準年齡的標準但是我竊竊了那麼你們是不是可以給我過度時間就是說比照天然的果汁先免稅如果後來驗不過我再補可以嗎可以這是一個主型的方案第二個請研議現行的高必需性高普及性的民生用品
transcript.whisperx[27].start 647.065
transcript.whisperx[27].end 669.741
transcript.whisperx[27].text 的貨物稅我強調一次只有七項我再背一次給你聽橡膠輪胎油氣電氣車輛這四種有外部成本的另外三種水泥水泥我不曉得有沒有外部成本平板玻璃跟飲料我聽來聽去跟民生最相關的就是飲料是不是針對優先從飲料來減免貨物稅著手可不可以提個報告
transcript.whisperx[28].start 671.395
transcript.whisperx[28].end 690.908
transcript.whisperx[28].text 委員我們可以提出報告,沒問題這七種,當然你要擴及到其他種我有沒有意見,我再唸一次給林主席站起來橡膠輪胎還有油氣類、電氣類、車輛類,這幾種是不是符合我們高B薛馨跟泡芙琴,我不知道
transcript.whisperx[29].start 692.028
transcript.whisperx[29].end 713.265
transcript.whisperx[29].text 平板玻璃跟水泥是屬於建材獨獨這個飲品飲料類是幾乎大家每天都在喝的優先檢討飲品從貨物稅當中排除可不可以這個部分我們可以來研議然後提出一個說明跟報告給文參希望你們要瞭解我從你們民國18年貨物稅開始起徵我們研究到達到現在
transcript.whisperx[30].start 714.526
transcript.whisperx[30].end 728.812
transcript.whisperx[30].text 貨物稅現在存在的價值跟意義都需要深刻的來檢討不要變成政府手上的熊尾笨每當人民或其他國家跟你要什麼相對的籌碼的時候你就拿來當籌碼使用要符合原來稅制的目的 可以嗎
transcript.whisperx[31].start 730.033
transcript.whisperx[31].end 743.559
transcript.whisperx[31].text 這部分謝謝委員指教 我們會往這個方向來演繹好 謝謝委員你沒有給我們時間 所以我們報告多久出來我是因為你這邊講辣藥 我們提出報告你們要多久時間 明年以後的時間都可以
transcript.whisperx[32].start 748.926
transcript.whisperx[32].end 777.415
transcript.whisperx[32].text 報告要多久要多久是第一個可以給我們一個月的時間好 一個月可以那至於第二個部分因為我們可能還要洽一下那個主管機關的意見也是一個月好不好對可以給我們兩個月兩個月第一個比較簡單飲料全部免稅比較簡單一個月第二個CMS比較困難要兩個月我們已經有相關的研究報告已經有研究的過程好 第一項一個月第二項兩個月是好 志願委員來報告我的時間呢24小時以內我都可以接受謝謝好 謝謝張嘉斌委員接著我們請賴會員委員
transcript.whisperx[33].start 783.947
transcript.whisperx[33].end 784.468
transcript.whisperx[33].text 謝謝主席 我們請