iVOD / 160024

Field Value
IVOD_ID 160024
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/160024
日期 2025-04-09
會議資料.會議代碼 委員會-11-3-19-7
會議資料.會議代碼:str 第11屆第3會期經濟委員會第7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 7
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7次全體委員會議
影片種類 Clip
開始時間 2025-04-09T12:37:45+08:00
結束時間 2025-04-09T12:45:53+08:00
影片長度 00:08:08
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/984603a5a250cdce75feab00758ee5b8a0ce932bdb51234803873e74607c39c2a86133156bd620685ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 12:37:45 - 12:45:53
會議時間 2025-04-09T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第7次全體委員會議(事由:邀請經濟部部長及國家發展委員會主任委員就「國際經貿情勢變化,提出協助國內傳統產業及中小企業因應之對策」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 5.56596875
transcript.pyannote[0].end 7.11846875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 7.89471875
transcript.pyannote[1].end 8.51909375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 16.58534375
transcript.pyannote[2].end 16.99034375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 17.54721875
transcript.pyannote[3].end 22.84596875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 24.48284375
transcript.pyannote[4].end 24.61784375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 25.54596875
transcript.pyannote[5].end 26.40659375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 26.64284375
transcript.pyannote[6].end 27.30096875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 27.65534375
transcript.pyannote[7].end 28.26284375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 28.76909375
transcript.pyannote[8].end 31.43534375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 31.53659375
transcript.pyannote[9].end 34.05096875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 34.28721875
transcript.pyannote[10].end 36.32909375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 36.70034375
transcript.pyannote[11].end 37.69596875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 38.01659375
transcript.pyannote[12].end 38.92784375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 39.16409375
transcript.pyannote[13].end 45.28971875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 46.03221875
transcript.pyannote[14].end 46.55534375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 47.07846875
transcript.pyannote[15].end 52.34346875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 53.38971875
transcript.pyannote[16].end 54.13221875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 54.77346875
transcript.pyannote[17].end 57.79409375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 58.62096875
transcript.pyannote[18].end 65.89409375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 62.43471875
transcript.pyannote[19].end 64.96596875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 66.36659375
transcript.pyannote[20].end 67.85159375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 68.17221875
transcript.pyannote[21].end 70.02846875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 71.32784375
transcript.pyannote[22].end 78.26346875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 76.55909375
transcript.pyannote[23].end 77.84159375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 78.76971875
transcript.pyannote[24].end 78.92159375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 78.92159375
transcript.pyannote[25].end 80.81159375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 81.43596875
transcript.pyannote[26].end 85.70534375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 86.27909375
transcript.pyannote[27].end 90.97034375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 91.18971875
transcript.pyannote[28].end 94.46346875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 95.77971875
transcript.pyannote[29].end 98.56409375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 98.73284375
transcript.pyannote[30].end 100.82534375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 98.74971875
transcript.pyannote[31].end 99.55971875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 101.07846875
transcript.pyannote[32].end 102.59721875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 102.17534375
transcript.pyannote[33].end 103.22159375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 103.17096875
transcript.pyannote[34].end 106.93409375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 107.27159375
transcript.pyannote[35].end 108.75659375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 107.60909375
transcript.pyannote[36].end 112.99221875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 113.86971875
transcript.pyannote[37].end 116.26596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 116.36721875
transcript.pyannote[38].end 117.71721875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 118.13909375
transcript.pyannote[39].end 128.78721875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 128.78721875
transcript.pyannote[40].end 134.38971875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 130.30596875
transcript.pyannote[41].end 130.77846875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 134.65971875
transcript.pyannote[42].end 135.48659375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 136.29659375
transcript.pyannote[43].end 153.62721875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 154.42034375
transcript.pyannote[44].end 158.65596875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 158.95971875
transcript.pyannote[45].end 161.15346875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 161.15346875
transcript.pyannote[46].end 164.61284375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 165.20346875
transcript.pyannote[47].end 169.65846875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 170.11409375
transcript.pyannote[48].end 173.48909375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 173.96159375
transcript.pyannote[49].end 175.80096875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 176.98221875
transcript.pyannote[50].end 181.89284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 182.70284375
transcript.pyannote[51].end 187.96784375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 186.01034375
transcript.pyannote[52].end 186.92159375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 187.96784375
transcript.pyannote[53].end 190.38096875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 190.98846875
transcript.pyannote[54].end 191.51159375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 191.73096875
transcript.pyannote[55].end 194.21159375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 194.58284375
transcript.pyannote[56].end 200.03346875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 200.16846875
transcript.pyannote[57].end 214.22534375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 203.37471875
transcript.pyannote[58].end 208.03221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 211.08659375
transcript.pyannote[59].end 212.52096875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 212.79096875
transcript.pyannote[60].end 220.68846875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 221.31284375
transcript.pyannote[61].end 226.76346875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 227.82659375
transcript.pyannote[62].end 231.23534375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 232.38284375
transcript.pyannote[63].end 236.17971875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 236.17971875
transcript.pyannote[64].end 236.66909375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 236.46659375
transcript.pyannote[65].end 245.56221875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 245.96721875
transcript.pyannote[66].end 247.53659375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 247.70534375
transcript.pyannote[67].end 249.47721875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 249.71346875
transcript.pyannote[68].end 252.90284375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 253.18971875
transcript.pyannote[69].end 257.64471875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 259.28159375
transcript.pyannote[70].end 260.02409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 260.02409375
transcript.pyannote[71].end 261.59346875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 261.86346875
transcript.pyannote[72].end 265.32284375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 265.47471875
transcript.pyannote[73].end 269.86221875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 270.38534375
transcript.pyannote[74].end 278.83971875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 279.04221875
transcript.pyannote[75].end 281.35409375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 282.58596875
transcript.pyannote[76].end 294.78659375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 286.01159375
transcript.pyannote[77].end 289.26846875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 289.89284375
transcript.pyannote[78].end 290.63534375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 292.30596875
transcript.pyannote[79].end 293.03159375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 294.78659375
transcript.pyannote[80].end 295.36034375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 295.64721875
transcript.pyannote[81].end 303.25784375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 303.76409375
transcript.pyannote[82].end 309.70409375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 309.97409375
transcript.pyannote[83].end 310.59846875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 310.69971875
transcript.pyannote[84].end 312.91034375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 314.24346875
transcript.pyannote[85].end 314.80034375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 314.83409375
transcript.pyannote[86].end 315.32346875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 315.84659375
transcript.pyannote[87].end 320.53784375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 321.09471875
transcript.pyannote[88].end 325.31346875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 325.85346875
transcript.pyannote[89].end 329.31284375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 330.00471875
transcript.pyannote[90].end 333.88596875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 334.24034375
transcript.pyannote[91].end 334.96596875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 336.90659375
transcript.pyannote[92].end 337.73346875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 337.73346875
transcript.pyannote[93].end 337.75034375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 338.71221875
transcript.pyannote[94].end 338.72909375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 338.72909375
transcript.pyannote[95].end 340.38284375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 340.90596875
transcript.pyannote[96].end 341.88471875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 342.86346875
transcript.pyannote[97].end 347.79096875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 348.36471875
transcript.pyannote[98].end 352.00971875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 352.56659375
transcript.pyannote[99].end 353.54534375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 354.27096875
transcript.pyannote[100].end 357.08909375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 357.69659375
transcript.pyannote[101].end 361.22346875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 361.62846875
transcript.pyannote[102].end 364.81784375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 365.23971875
transcript.pyannote[103].end 367.46721875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 367.93971875
transcript.pyannote[104].end 370.80846875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 370.99409375
transcript.pyannote[105].end 372.19221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 372.81659375
transcript.pyannote[106].end 379.63409375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 380.32596875
transcript.pyannote[107].end 385.64159375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 385.70909375
transcript.pyannote[108].end 386.70471875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 387.10971875
transcript.pyannote[109].end 388.05471875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 388.47659375
transcript.pyannote[110].end 389.20221875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 389.50596875
transcript.pyannote[111].end 392.91471875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 393.31971875
transcript.pyannote[112].end 399.00659375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 399.09096875
transcript.pyannote[113].end 403.93409375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 404.57534375
transcript.pyannote[114].end 407.27534375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 407.68034375
transcript.pyannote[115].end 409.72221875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 410.12721875
transcript.pyannote[116].end 410.75159375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 411.57846875
transcript.pyannote[117].end 413.26596875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 413.50221875
transcript.pyannote[118].end 416.48909375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 417.04596875
transcript.pyannote[119].end 418.02471875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 418.02471875
transcript.pyannote[120].end 418.59846875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 419.45909375
transcript.pyannote[121].end 424.80846875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 421.01159375
transcript.pyannote[122].end 421.92284375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 425.34846875
transcript.pyannote[123].end 425.97284375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 425.97284375
transcript.pyannote[124].end 426.51284375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 426.51284375
transcript.pyannote[125].end 427.32284375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 427.33971875
transcript.pyannote[126].end 427.35659375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 427.35659375
transcript.pyannote[127].end 432.18284375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 432.62159375
transcript.pyannote[128].end 433.68471875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 437.48159375
transcript.pyannote[129].end 439.03409375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 439.57409375
transcript.pyannote[130].end 440.63721875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 442.10534375
transcript.pyannote[131].end 445.81784375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 446.50971875
transcript.pyannote[132].end 455.50409375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 456.06096875
transcript.pyannote[133].end 456.78659375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 457.15784375
transcript.pyannote[134].end 457.90034375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 458.32221875
transcript.pyannote[135].end 460.09409375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 460.70159375
transcript.pyannote[136].end 464.19471875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 464.92034375
transcript.pyannote[137].end 466.60784375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 467.36721875
transcript.pyannote[138].end 467.94096875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 467.97471875
transcript.pyannote[139].end 474.60659375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 472.46346875
transcript.pyannote[140].end 472.48034375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 474.26909375
transcript.pyannote[141].end 474.47159375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 474.75846875
transcript.pyannote[142].end 475.33221875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 475.18034375
transcript.pyannote[143].end 477.96471875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 478.70721875
transcript.pyannote[144].end 482.68971875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 482.89221875
transcript.pyannote[145].end 484.73159375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 484.84971875
transcript.pyannote[146].end 485.57534375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 487.31346875
transcript.pyannote[147].end 487.73534375
transcript.whisperx[0].start 6.058
transcript.whisperx[0].end 22.766
transcript.whisperx[0].text 謝謝主席 有請部長郭部長委員好部長好那個川普政府對台灣客家的32%的高關稅生效了沒有
transcript.whisperx[1].start 25.6
transcript.whisperx[1].end 48.497
transcript.whisperx[1].text 川普政府對我國的產品客家的32%的高關稅生效了沒有從現在12點今天的12點開始生效對嘛我剛剛在下面聽有委員問你說要爭取要延緩生效你還說你會盡量努力我坐在下面聽完完全聽不懂現在就已經生效了第二個我們目前針對有關於這個高關稅產業衝擊影響評估做好沒有
transcript.whisperx[2].start 53.462
transcript.whisperx[2].end 69.799
transcript.whisperx[2].text 我們有做了已經做好了嗎什麼時候可以提供給所有的委員影響評估我們都有評估對可能衝擊的產業做法因為我們到現在拿不到我們的網站都有公告公告在網站上面
transcript.whisperx[3].start 71.397
transcript.whisperx[3].end 94.236
transcript.whisperx[3].text 我們具體的行政院的部分要14號才會出來14號才會出來經濟部這樣講好了行政院的部分14號才會出來院長禮拜五就要來這邊報告了我們那天去行政院開會的時候我跟院長要衝擊影響評估他們說做好了我請他們提供到現在也沒拿到
transcript.whisperx[4].start 95.854
transcript.whisperx[4].end 108.128
transcript.whisperx[4].text 所以就經濟部的部分已經先做好了是嗎那惠後部長可以提供嗎惠後部長可以提供嗎好那就請今天惠後部長提供我們進一步談針對賴總統所主張的零關稅經濟部的立場怎麼樣在不贊成
transcript.whisperx[5].start 113.908
transcript.whisperx[5].end 132.244
transcript.whisperx[5].text 零關稅開始談判不是零關稅支持不支持這個由我們的談判小組他們去處理所以這個由談判小組來決定而不是由經濟部這邊經濟部是提供資訊讓整體的在政策的立場上面從零關稅開始談 部長您贊不贊成零關稅
transcript.whisperx[6].start 136.543
transcript.whisperx[6].end 153.442
transcript.whisperx[6].text 開始談當然贊成當然贊成嘛那如果跟美國針對有關於從零關稅開始談的這件事情你認為台灣政府應該表達的形式是什麼所以表達的形式是我們主動把關稅降下來還是要簽自由貿易協定
transcript.whisperx[7].start 154.485
transcript.whisperx[7].end 181.433
transcript.whisperx[7].text 我們當然是以自由貿易協定為我們前提啦機率高不高我們沒有辦法判斷沒有辦法判斷嘛好那我們先澄清一個問題假設如果不是簽BTA的話假設啦如果不是簽BTA的話我們把關稅對美國的部分把它降下來了其他國家是不是要一體適用這個部分我們談判不會朝這個WTO的這個條款去談
transcript.whisperx[8].start 182.779
transcript.whisperx[8].end 189.309
transcript.whisperx[8].text 我們該跟美國談這個就是台美之間的這個決定是啊是啊那個部長那個WTO相關的規範你應該還熟吧
transcript.whisperx[9].start 191.195
transcript.whisperx[9].end 220.455
transcript.whisperx[9].text 還好嘛對嘛 好那如果沒有BTA的話我們對美國降關稅對其他國家其他國家主張用最惠國待遇原則要怎麼辦不會啊我們這次談判應該是不朝那個方向那個是我們跟美國談嘛跟其他國家根本沒有在談這件事嘛我們談判的單位不可能說以傷害國內的這個權益為止當然我了解是 所以嘛我才一直強調嘛為什麼我們在跟美國談的時候希望能夠爭取到BTA嘛
transcript.whisperx[10].start 221.376
transcript.whisperx[10].end 230.958
transcript.whisperx[10].text 你如果沒有爭取到BTA的話在WTO的架構下那不就是有最惠國待遇原則嗎我講的應該沒有錯啊這個是很基本的事情啊
transcript.whisperx[11].start 232.615
transcript.whisperx[11].end 257.498
transcript.whisperx[11].text 現在我擔心的就是什麼我並沒有說委員你是錯的對啦我們還是回到問題的基點嘛如果沒有簽到BTA我們對美國降關稅其他國家不能援引嗎其他國家會援引啊那個衝擊影響啊是遠遠超乎現在我們在政府所估算的範圍行政院所提供給委員們的那份報告您看過沒有
transcript.whisperx[12].start 259.312
transcript.whisperx[12].end 281.17
transcript.whisperx[12].text 您看過沒有我不是委員所以我沒有看過所以行政院在提那個報告給委員的時候你也沒有參與我不是委員啊所以我不會收到不是啊那是行政院出來的報告啊那個是行政院出來的報告你是經濟部部長你還不熟喔我是經濟部部長所以我只熟經濟部的部分所以就經濟部的部分提供給委員的部分你看過沒有
transcript.whisperx[13].start 282.625
transcript.whisperx[13].end 294.905
transcript.whisperx[13].text 我們送出去給行政院的報告我當然看過啦但行政院送什麼給我們你不清楚就對了行政院調整過他會調整嘛是所以那一部分我沒有看沒關係啊我不是委員嘛所以我看不到部長
transcript.whisperx[14].start 295.765
transcript.whisperx[14].end 324.814
transcript.whisperx[14].text 你趕快看啊星期五的時候你就要陪院長啊到這邊啊來進行報告了我給你善意啊的提醒第二個部分啊針對美國貿易代表署啊在計算關稅的這個公式你看過了嗎我知道你知道嗎你贊不贊成這個公式這個我我贊不贊成我當然是不是不贊成啊你覺得這個公式有什麼問題這個公式當然我不是數學家啦所以我沒有辦法回答你這個問題
transcript.whisperx[15].start 325.936
transcript.whisperx[15].end 353.408
transcript.whisperx[15].text 不是啊 可是你剛剛已經說你不贊成啦我不贊成不代表我懂所以這個公式你也看不懂嗎這個公式我就是看不懂所以不贊成OK 好非常好喔過去啊 這段時間啊你的反應啊可能下面有些人會覺得很有趣但我覺得蠻嚴肅的為什麼蠻嚴肅的因為連川普總統啊自己的支持者一個大企業家他也說他看不懂
transcript.whisperx[16].start 354.346
transcript.whisperx[16].end 379.098
transcript.whisperx[16].text 他完全看不懂這個公式代表的是什麼這也是為什麼我們行政院第一時間會說這個公式不合理嘛要不然我們的行政院院長怎麼會出來說這個公式不合理怎麼會課台灣這麼高的關稅那這個對我國接下來跟美國之間的談判非常的重要啊因為如果美國貿易代表署把這個公式寫在他們的官方文件上面就是我們所看到的這個嘛
transcript.whisperx[17].start 380.407
transcript.whisperx[17].end 403.534
transcript.whisperx[17].text 就我們所看到的這一個它已經寫在官方文件上啦所以它重要的兩個係數一個是ε一個是φ就是在那個數學的公式上啦但是剛剛部長你也說了嘛這個公式你不是很熟那沒有關係我就不要跟部長進一步討論啦接下來在美國經濟學界對這個公式討論大家所舉出來的問題
transcript.whisperx[18].start 404.934
transcript.whisperx[18].end 433.356
transcript.whisperx[18].text 時間的關係我最後只問一件事情剛剛有委員提到台灣遭受到美國關切的是不是有台灣的廠商在幫忙洗產地部長這個部分你有掌握嗎我們有掌握你們有掌握不允許這些廠商來台灣洗廠地絕對不允許嗎不允許OK好那個時間的關係我最後只提醒一件事情那個國發會的主委您坐在下面嗎
transcript.whisperx[19].start 437.58
transcript.whisperx[19].end 466.411
transcript.whisperx[19].text 是不是可以請主委齁是不是可以請主委其他的不肖廠商做這種事情我們沒辦法容忍嘛但我們國發基金所投資的公司絕對不應該做這種事情主委贊不贊成呃我贊成你贊成嘛好主委我們會來清查清查清查喔國發基金投資的公司有沒有在幫中國的廠商洗產地國發基金清查需要多久
transcript.whisperx[20].start 468.462
transcript.whisperx[20].end 484.985
transcript.whisperx[20].text 國發基金我們會發文出去然後看廠商的一個禮拜之內請他們回覆好不好可以可以請所有國發基金投資的公司切解喔有沒有在幫中國產品洗產地請他們一個禮拜之後回覆把答案提供給所有委員好不好好的好 謝謝謝謝