iVOD / 165201

Field Value
IVOD_ID 165201
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165201
日期 2025-11-10
會議資料.會議代碼 委員會-11-4-19-10
會議資料.會議代碼:str 第11屆第4會期經濟委員會第10次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 10
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4會期經濟委員會第10次全體委員會議
影片種類 Clip
開始時間 2025-11-10T10:43:18+08:00
結束時間 2025-11-10T10:54:22+08:00
影片長度 00:11:04
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6fc2fc2b2fd269db9d1cb33711a26a62838b731be938aed5e8348dfcc66348a67b4bad54927d78b35ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 謝衣鳯
委員發言時間 10:43:18 - 10:54:22
會議時間 2025-11-10T09:00:00+08:00
會議名稱 立法院第11屆第4會期經濟委員會第10次全體委員會議(事由:審查: 一、行政院函請審議「企業併購法增訂第五章之一章名及第四十四條之二、第五十二條之一、第五十四條條文修正草案」案。 二、本院委員王美惠等20人擬具「企業併購法部分條文修正草案」案。 三、本院委員沈發惠等17人擬具「企業併購法部分條文修正草案」案。 四、本院委員賴惠員等20人擬具「企業併購法部分條文修正草案」案。 五、本院委員賴瑞隆等18人擬具「企業併購法部分條文修正草案」案。(第五案如於本次會議開始前未經各黨團簽署不復議同意書,則不予審查) (詢答及處理) 【11月10日及13日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 4.40159375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 6.57846875
transcript.pyannote[1].end 9.05909375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 9.32909375
transcript.pyannote[2].end 15.84284375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 16.24784375
transcript.pyannote[3].end 17.81721875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 18.77909375
transcript.pyannote[4].end 19.90971875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 21.49596875
transcript.pyannote[5].end 22.57596875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 22.89659375
transcript.pyannote[6].end 26.03534375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 26.86221875
transcript.pyannote[7].end 27.50346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 28.36409375
transcript.pyannote[8].end 31.65471875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 34.01721875
transcript.pyannote[9].end 34.03409375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 34.08471875
transcript.pyannote[10].end 35.72159375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 35.06346875
transcript.pyannote[11].end 35.53596875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 35.53596875
transcript.pyannote[12].end 35.62034375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 36.56534375
transcript.pyannote[13].end 36.68346875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 37.51034375
transcript.pyannote[14].end 38.52284375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 38.97846875
transcript.pyannote[15].end 39.73784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 40.32846875
transcript.pyannote[16].end 41.56034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 42.55596875
transcript.pyannote[17].end 43.34909375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 43.82159375
transcript.pyannote[18].end 46.01534375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 46.31909375
transcript.pyannote[19].end 47.71971875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 48.17534375
transcript.pyannote[20].end 54.58784375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 54.97596875
transcript.pyannote[21].end 69.74159375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 70.56846875
transcript.pyannote[22].end 71.15909375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 71.66534375
transcript.pyannote[23].end 72.88034375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 74.02784375
transcript.pyannote[24].end 75.68159375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 76.25534375
transcript.pyannote[25].end 76.82909375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 77.80784375
transcript.pyannote[26].end 88.20284375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 88.54034375
transcript.pyannote[27].end 88.81034375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 89.50221875
transcript.pyannote[28].end 90.39659375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 90.75096875
transcript.pyannote[29].end 98.63159375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 99.22221875
transcript.pyannote[30].end 99.96471875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 99.96471875
transcript.pyannote[31].end 100.74096875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 100.74096875
transcript.pyannote[32].end 100.79159375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 101.48346875
transcript.pyannote[33].end 102.78284375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 103.30596875
transcript.pyannote[34].end 109.53284375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 109.56659375
transcript.pyannote[35].end 109.58346875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 109.58346875
transcript.pyannote[36].end 111.23721875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 110.17409375
transcript.pyannote[37].end 110.37659375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 111.23721875
transcript.pyannote[38].end 111.25409375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 111.25409375
transcript.pyannote[39].end 111.27096875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 111.27096875
transcript.pyannote[40].end 111.97971875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 112.43534375
transcript.pyannote[41].end 118.00409375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 118.44284375
transcript.pyannote[42].end 120.80534375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 121.24409375
transcript.pyannote[43].end 152.56409375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 124.31534375
transcript.pyannote[44].end 124.53471875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 131.52096875
transcript.pyannote[45].end 131.84159375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 137.98409375
transcript.pyannote[46].end 138.49034375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 148.83471875
transcript.pyannote[47].end 149.22284375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 151.50096875
transcript.pyannote[48].end 151.66971875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 153.00284375
transcript.pyannote[49].end 155.82096875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 156.66471875
transcript.pyannote[50].end 167.95409375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 166.72221875
transcript.pyannote[51].end 167.97096875
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 167.97096875
transcript.pyannote[52].end 167.98784375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 167.98784375
transcript.pyannote[53].end 168.00471875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 168.00471875
transcript.pyannote[54].end 168.02159375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 168.02159375
transcript.pyannote[55].end 168.22409375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 168.22409375
transcript.pyannote[56].end 174.06284375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 172.88159375
transcript.pyannote[57].end 177.57284375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 177.16784375
transcript.pyannote[58].end 179.96909375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 178.28159375
transcript.pyannote[59].end 188.32221875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 181.80846875
transcript.pyannote[60].end 184.08659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 188.44034375
transcript.pyannote[61].end 192.37221875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 193.26659375
transcript.pyannote[62].end 195.29159375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 193.38471875
transcript.pyannote[63].end 194.29596875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 195.39284375
transcript.pyannote[64].end 199.83096875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 199.96596875
transcript.pyannote[65].end 204.42096875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 204.42096875
transcript.pyannote[66].end 204.79221875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 204.79221875
transcript.pyannote[67].end 207.07034375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 207.30659375
transcript.pyannote[68].end 210.63096875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 208.87596875
transcript.pyannote[69].end 209.06159375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 209.55096875
transcript.pyannote[70].end 209.87159375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 210.63096875
transcript.pyannote[71].end 211.44096875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 211.44096875
transcript.pyannote[72].end 211.96409375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 211.96409375
transcript.pyannote[73].end 214.22534375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 214.74846875
transcript.pyannote[74].end 224.55284375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 218.44409375
transcript.pyannote[75].end 218.95034375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 223.94534375
transcript.pyannote[76].end 225.76784375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 224.83971875
transcript.pyannote[77].end 227.05034375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 227.57346875
transcript.pyannote[78].end 232.19721875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 232.33221875
transcript.pyannote[79].end 232.75409375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 232.78784375
transcript.pyannote[80].end 234.37409375
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 234.77909375
transcript.pyannote[81].end 237.39471875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 237.41159375
transcript.pyannote[82].end 237.42846875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 237.49596875
transcript.pyannote[83].end 244.27971875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 245.02221875
transcript.pyannote[84].end 248.05971875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 248.05971875
transcript.pyannote[85].end 248.07659375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 248.54909375
transcript.pyannote[86].end 253.69596875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 253.79721875
transcript.pyannote[87].end 255.33284375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 255.33284375
transcript.pyannote[88].end 255.34971875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 255.73784375
transcript.pyannote[89].end 255.90659375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 256.29471875
transcript.pyannote[90].end 256.96971875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 256.96971875
transcript.pyannote[91].end 276.39284375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 261.10409375
transcript.pyannote[92].end 262.09971875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 269.99721875
transcript.pyannote[93].end 270.06471875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 275.07659375
transcript.pyannote[94].end 275.65034375
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 276.89909375
transcript.pyannote[95].end 278.63721875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 278.63721875
transcript.pyannote[96].end 278.68784375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 278.92409375
transcript.pyannote[97].end 279.02534375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 279.02534375
transcript.pyannote[98].end 279.14346875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 279.14346875
transcript.pyannote[99].end 279.24471875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 279.24471875
transcript.pyannote[100].end 282.68721875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 281.57346875
transcript.pyannote[101].end 282.72096875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 282.72096875
transcript.pyannote[102].end 282.73784375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 282.73784375
transcript.pyannote[103].end 282.77159375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 282.77159375
transcript.pyannote[104].end 284.96534375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 282.78846875
transcript.pyannote[105].end 282.83909375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 284.96534375
transcript.pyannote[106].end 285.33659375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 285.74159375
transcript.pyannote[107].end 299.03909375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 296.01846875
transcript.pyannote[108].end 296.33909375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 299.03909375
transcript.pyannote[109].end 303.13971875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 303.56159375
transcript.pyannote[110].end 303.89909375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 304.43909375
transcript.pyannote[111].end 319.22159375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 319.40721875
transcript.pyannote[112].end 321.88784375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 322.29284375
transcript.pyannote[113].end 332.70471875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 333.41346875
transcript.pyannote[114].end 334.81409375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 336.24846875
transcript.pyannote[115].end 337.78409375
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 339.28596875
transcript.pyannote[116].end 362.77596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 347.33534375
transcript.pyannote[117].end 347.85846875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 348.41534375
transcript.pyannote[118].end 348.76971875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 355.11471875
transcript.pyannote[119].end 355.21596875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 355.21596875
transcript.pyannote[120].end 355.36784375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 355.36784375
transcript.pyannote[121].end 355.63784375
transcript.pyannote[122].speaker SPEAKER_03
transcript.pyannote[122].start 363.19784375
transcript.pyannote[122].end 364.36221875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 364.37909375
transcript.pyannote[123].end 365.62784375
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 366.57284375
transcript.pyannote[124].end 368.34471875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 367.97346875
transcript.pyannote[125].end 370.11659375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 369.91409375
transcript.pyannote[126].end 371.65221875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 371.34846875
transcript.pyannote[127].end 373.05284375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 372.41159375
transcript.pyannote[128].end 377.86221875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 374.13284375
transcript.pyannote[129].end 381.99659375
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 378.09846875
transcript.pyannote[130].end 378.55409375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 380.46096875
transcript.pyannote[131].end 382.03034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 382.03034375
transcript.pyannote[132].end 383.11034375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 382.11471875
transcript.pyannote[133].end 382.48596875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 383.49846875
transcript.pyannote[134].end 407.95034375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 405.79034375
transcript.pyannote[135].end 406.41471875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 407.34284375
transcript.pyannote[136].end 412.65846875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 412.13534375
transcript.pyannote[137].end 415.00409375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 413.89034375
transcript.pyannote[138].end 424.36971875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 419.40846875
transcript.pyannote[139].end 420.03284375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 423.45846875
transcript.pyannote[140].end 429.76971875
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 425.07846875
transcript.pyannote[141].end 428.28471875
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 429.76971875
transcript.pyannote[142].end 443.91096875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 429.82034375
transcript.pyannote[143].end 429.98909375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 438.37596875
transcript.pyannote[144].end 438.46034375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 442.66221875
transcript.pyannote[145].end 443.94471875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 443.94471875
transcript.pyannote[146].end 443.96159375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 443.96159375
transcript.pyannote[147].end 444.61971875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 445.24409375
transcript.pyannote[148].end 450.44159375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 445.54784375
transcript.pyannote[149].end 445.69971875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 449.46284375
transcript.pyannote[150].end 455.97659375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 455.97659375
transcript.pyannote[151].end 463.43534375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 458.32221875
transcript.pyannote[152].end 459.99284375
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 463.94159375
transcript.pyannote[153].end 465.15659375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 465.42659375
transcript.pyannote[154].end 471.09659375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 468.44721875
transcript.pyannote[155].end 468.46409375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 471.33284375
transcript.pyannote[156].end 472.86846875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 472.86846875
transcript.pyannote[157].end 472.91909375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 472.93596875
transcript.pyannote[158].end 479.66909375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 479.70284375
transcript.pyannote[159].end 480.51284375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 481.01909375
transcript.pyannote[160].end 484.42784375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 484.69784375
transcript.pyannote[161].end 485.35596875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 486.16596875
transcript.pyannote[162].end 503.91846875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 504.84659375
transcript.pyannote[163].end 505.38659375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 505.69034375
transcript.pyannote[164].end 506.55096875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 506.87159375
transcript.pyannote[165].end 509.75721875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 510.65159375
transcript.pyannote[166].end 511.46159375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 511.98471875
transcript.pyannote[167].end 515.25846875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 515.25846875
transcript.pyannote[168].end 515.29221875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 516.32159375
transcript.pyannote[169].end 516.33846875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 516.33846875
transcript.pyannote[170].end 518.75159375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 519.15659375
transcript.pyannote[171].end 522.12659375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 521.62034375
transcript.pyannote[172].end 522.02534375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 522.51471875
transcript.pyannote[173].end 534.93471875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 522.64971875
transcript.pyannote[174].end 523.02096875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 529.78784375
transcript.pyannote[175].end 530.29409375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 532.50471875
transcript.pyannote[176].end 534.76596875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 535.35659375
transcript.pyannote[177].end 540.82409375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 540.63846875
transcript.pyannote[178].end 547.97909375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 548.73846875
transcript.pyannote[179].end 561.51284375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 558.10409375
transcript.pyannote[180].end 558.69471875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 561.51284375
transcript.pyannote[181].end 564.38159375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 564.55034375
transcript.pyannote[182].end 570.87846875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 570.87846875
transcript.pyannote[183].end 570.96284375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 570.96284375
transcript.pyannote[184].end 571.03034375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 571.03034375
transcript.pyannote[185].end 571.08096875
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 571.08096875
transcript.pyannote[186].end 571.23284375
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 571.23284375
transcript.pyannote[187].end 571.41846875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 571.41846875
transcript.pyannote[188].end 571.43534375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 571.43534375
transcript.pyannote[189].end 573.56159375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 571.57034375
transcript.pyannote[190].end 572.70096875
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 572.95409375
transcript.pyannote[191].end 575.21534375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 574.23659375
transcript.pyannote[192].end 595.95471875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 580.22721875
transcript.pyannote[193].end 580.96971875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 596.46096875
transcript.pyannote[194].end 599.92034375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 600.34221875
transcript.pyannote[195].end 601.92846875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 601.97909375
transcript.pyannote[196].end 606.73784375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 602.19846875
transcript.pyannote[197].end 602.95784375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 606.85596875
transcript.pyannote[198].end 608.96534375
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 608.96534375
transcript.pyannote[199].end 619.74846875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 615.52971875
transcript.pyannote[200].end 615.95159375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 620.08596875
transcript.pyannote[201].end 622.85346875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 623.64659375
transcript.pyannote[202].end 626.76846875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 626.76846875
transcript.pyannote[203].end 626.85284375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 626.85284375
transcript.pyannote[204].end 626.88659375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 626.95409375
transcript.pyannote[205].end 627.56159375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 627.89909375
transcript.pyannote[206].end 630.75096875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 630.98721875
transcript.pyannote[207].end 632.77596875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 633.13034375
transcript.pyannote[208].end 635.30721875
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 635.83034375
transcript.pyannote[209].end 636.25221875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 637.60221875
transcript.pyannote[210].end 645.88784375
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 637.75409375
transcript.pyannote[211].end 638.15909375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 644.13284375
transcript.pyannote[212].end 644.38596875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 646.34346875
transcript.pyannote[213].end 653.80221875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 654.00471875
transcript.pyannote[214].end 654.03846875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 654.07221875
transcript.pyannote[215].end 658.57784375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 659.26971875
transcript.pyannote[216].end 660.23159375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 661.17659375
transcript.pyannote[217].end 663.23534375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 662.74596875
transcript.pyannote[218].end 663.13409375
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 663.80909375
transcript.pyannote[219].end 664.21409375
transcript.whisperx[0].start 0.069
transcript.whisperx[0].end 0.91
transcript.whisperx[0].text 謝謝主席我想要請我們工部長
transcript.whisperx[1].start 28.53
transcript.whisperx[1].end 35.34
transcript.whisperx[1].text 你的兄弟那個葉俊賢主委要不要一起好委員長我請教一下
transcript.whisperx[2].start 42.611
transcript.whisperx[2].end 54.459
transcript.whisperx[2].text 根據中金院研究員的研究他說台灣2024年從中國大陸進口了95.3%的稀土磁鐵那86.1%的稀土金屬混合物跟79.5%的氏化合物還有60.7%的稀土
transcript.whisperx[3].start 70.629
transcript.whisperx[3].end 98.281
transcript.whisperx[3].text 金屬那我想要請問未來如果即便就如同工部長所說的工研院的技術已經有辦法提升公斤級的這樣子的稀土也是從回收的材料裡面我們能夠有三分之一的從這些回收材料裡面來置給那三分之二其他三分之二怎麼辦
transcript.whisperx[4].start 99.902
transcript.whisperx[4].end 117.361
transcript.whisperx[4].text 報委員事實上那個三分之一也沒有辦法從回收完全所以還是要從國外進口進來以後我們做精煉所以三分之二去跟中國大陸買三分之二沒有我們現在是大部分是從間接的從美國
transcript.whisperx[5].start 118.522
transcript.whisperx[5].end 144.758
transcript.whisperx[5].text 歐盟或者是沒有直接直接是有但是比較少因為我們本身沒有精煉的這個技術所以你如果原礦進來台灣也沒有用因為沒有精煉技術將來是所以工研院為什麼這個精煉的技術要這個能量要把它build up起來就是這個理由那我們現在有一些企業已經跟比如說跟澳洲或者是其他國家有在談
transcript.whisperx[6].start 146.119
transcript.whisperx[6].end 155.527
transcript.whisperx[6].text 它的這個稀土進來以後我們可以做精煉這樣的情況那再加上有跟澳洲談有些廠商是有跟澳洲談沒有錯那
transcript.whisperx[7].start 156.721
transcript.whisperx[7].end 176.856
transcript.whisperx[7].text 再加上您剛才用回收的部分這樣加總起來大概會是佔我們總的需求我們本身國內的需求的三分之一那其他三分之二怎麼辦另外三分之二是會進口人家已經精煉好的像現在一樣就是像所謂的稀土的石鐵嘛
transcript.whisperx[8].start 177.336
transcript.whisperx[8].end 183.766
transcript.whisperx[8].text 對不對 都已經好了嘛或者是稀土金屬的混合物 對不對可是過去我們2024年喔還跟中國大陸進口了95%以上的
transcript.whisperx[9].start 193.499
transcript.whisperx[9].end 211.147
transcript.whisperx[9].text 尤其是稀土池田那未來這跟你們兩個都有相關性啊未來我們的無人機產業裡面的泳池馬達那他就必須要使用這些稀土的池田是不是對 沒有錯
transcript.whisperx[10].start 211.547
transcript.whisperx[10].end 234.127
transcript.whisperx[10].text 那怎么办呢那现在因为中国好像有一年的时间他要豁免了跟美国谈豁免了对对对所以我们跟他好像已经有宣布了对所以是跟大陆相关的那其他的国家包括不管是民主国家欧盟也好或是美国也好日本也好现在赶快要筹建
transcript.whisperx[11].start 235.047
transcript.whisperx[11].end 255.075
transcript.whisperx[11].text 所謂的飛鴻的供應鏈起來那當然需要我們一起支持的我們因為我們是間接的使用方嘛所以如果需要我們參加的話我們也會參加所以你們已經有辦法自己去製作在這個供應鏈上面稀土持鐵的部分
transcript.whisperx[12].start 256.777
transcript.whisperx[12].end 278.151
transcript.whisperx[12].text 現在分成兩個我們自己的部分剛剛提到的那個未來從一開始到2030年我們會那個三分之一的能量把它建置起來另外三分之二還是要從國外進口那國外進口你還是要跟包括歐盟日本還有其他國家來做合作直接進口它的磁鐵
transcript.whisperx[13].start 279.429
transcript.whisperx[13].end 301.668
transcript.whisperx[13].text 所以還是要跟其他國家合作進口磁鐵那怎麼樣子 跟哪一個國家合作本來就有一些供應鏈的關係就好像我們現在進口一些磁鐵有些是從日本來的有些是從歐盟來的有些是從美國來的就是日本 歐盟跟美國對 主要是在目前為止目前主要就是這三個國家
transcript.whisperx[14].start 303.61
transcript.whisperx[14].end 332.519
transcript.whisperx[14].text 那刚才大家在问起病法的时候那其实这个跟叶祖伟也有很大的相关性那目前你们规划的气病法里面那最主要的产业是不是受创最严重的扣件或者是那对于中部的机械产业或者是工具机的产业那到底目前大家认为整病的
transcript.whisperx[15].start 333.78
transcript.whisperx[15].end 337.631
transcript.whisperx[15].text 這樣子一個條件目前大家的看法是如何
transcript.whisperx[16].start 339.795
transcript.whisperx[16].end 365.536
transcript.whisperx[16].text 跟委员报告我们在修法之前的话其实有跟很多工协会去讨论比如说像工具机或者是衣材以及观光业者那这些产业其实都表达蛮肯定的一个态度就是说蛮支持这样的一个修法然后基本上说我们这一个气病法其实也没有说哪一个优先你只要有兴趣来申请我们都欢迎工部长有没有协助你
transcript.whisperx[17].start 366.618
transcript.whisperx[17].end 372.943
transcript.whisperx[17].text 我們會一起合作他有協助你嗎他不理你是不是會啦他沒有協助你的我們會建構一個還是你自己搞定大家有聽你大家願意聽國發會的嗎我們會建構一個平台因為這整合是不是這併購是merge是很困難的是不是
transcript.whisperx[18].start 387.856
transcript.whisperx[18].end 407.132
transcript.whisperx[18].text 因為每個公司有每個公司的考量嘛那他們到底要不要併購成一個大的公司那共同來打國際盃那之前在美國對等關稅之前其實就已經發生很大要整併就已經發生很大的困難我們政府要介入嘛
transcript.whisperx[19].start 408.273
transcript.whisperx[19].end 427.188
transcript.whisperx[19].text 陳岳控股公司他不是要把AB兩家公司併成一家公司我知道他是要把它整合成一個供應鏈還是獨立的兩個公司只是上面架一個控股公司那他的資源可以互通所以他只是控股公司每一個公司還是有自己的控制權他還是獨立的執行是不是
transcript.whisperx[20].start 427.788
transcript.whisperx[20].end 444.287
transcript.whisperx[20].text 就让各个公司有控制权就好像日月光它跟细品一样上面有个控制公司但是日月光还是做日月光的细品还是做细品的但是他们会有一些资源上的那我们中部的呢我们中部的公司也可以啊他们有意愿吗
transcript.whisperx[21].start 445.527
transcript.whisperx[21].end 472.564
transcript.whisperx[21].text 至少工具區的業者有跟我這樣提過有意願是嗎因為之前好像大家對於這個東西的想法都好像興趣不大是不是那主要就是剛剛提到因為租稅的問題吧才剛才要談這個部分就要繳很多很多的稅那這個根本就是還沒有產生利益就要付出一大筆錢這個他們很多的中小企業也沒這個錢所以為什麼一定要緩客
transcript.whisperx[22].start 473.064
transcript.whisperx[22].end 483.591
transcript.whisperx[22].text 好好好 我最後再問一題不曉得川普總統有沒有打電話跟工部長講就是他最高法院還沒接到
transcript.whisperx[23].start 486.263
transcript.whisperx[23].end 514.889
transcript.whisperx[23].text 最高法院對於美國的就是他援引的IEPA有可能給他推翻那即便他三個川普總統所提名的保守派的大法官都不贊同那在不贊同的情況下未來我們關稅就是美國的關稅對各國會怎麼談你們研判那對我們最重要的就是日韓了對不對
transcript.whisperx[24].start 516.503
transcript.whisperx[24].end 534.63
transcript.whisperx[24].text 對 因為對台灣來講的話我們還是要持續跟美國去談主要的理由是你也可以看到它有一些本來是對等關稅的項目裡面它要搬到232去那現在我們同時也跟美國在談232232才是我們的重點因為我們
transcript.whisperx[25].start 536.171
transcript.whisperx[25].end 563.868
transcript.whisperx[25].text ICT产业大部分是落在这个232的项目里面可是232其实它我们当初过去啊就是国发会主委刘主委他有说是各国是同等的就是说同等但是我们后来发现232又有不同它对各国又有不同因为各国的那个产品是不同的嘛对不对它会有一些国家有一些豁免
transcript.whisperx[26].start 565.129
transcript.whisperx[26].end 572.479
transcript.whisperx[26].text 雖然針對是公司沒有錯但是他屬於哪一家國家的公司他給予一些豁免所以還是要談還是要談所以那這樣子對我們台灣的競爭力跟日韓相比有比較好
transcript.whisperx[27].start 580.551
transcript.whisperx[27].end 601.41
transcript.whisperx[27].text 甚至你看川普總統在吉隆坡跟泰國柬埔寨等等他們對於稀土的問題就是談稀土的開採那導致了這些國家他們的關稅都降到19%那我們跟其他東南亞的國家來講好像也沒比較好
transcript.whisperx[28].start 603.212
transcript.whisperx[28].end 622.223
transcript.whisperx[28].text 我們有兩塊嘛 對不對台灣的產業有兩塊嘛一塊我們一定會談往這個現在是暫時性的是20嘛我們一定會談比20還要低嘛而且不疊加嘛而且232裡面我們會希望談生有一些優惠的一些條件
transcript.whisperx[29].start 624.597
transcript.whisperx[29].end 634.482
transcript.whisperx[29].text 232會談成有一些優惠的條件是不是對對對好那對於中小企業的傳產呢你們就走這個企業就是企業控股公司這個路線嗎對
transcript.whisperx[30].start 637.659
transcript.whisperx[30].end 664.135
transcript.whisperx[30].text 各别的中小企业它的升级转型我们有特别预算或者是公务预算来支持他们如果他们要整病他们力量更大的话那有气病法来支持他们所以就是说有很多的这些升级转型的工具或它的中效可以产生中效的这个工具可以让他们来使用好 谢谢谢谢谢一峰委员的资讯谢谢