iVOD / 167693

Field Value
IVOD_ID 167693
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/167693
日期 2026-03-19
會議資料.會議代碼 聯席會議-11-5-19,20-1
會議資料.會議代碼:str 第11屆第5會期經濟、財政兩委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 19
會議資料.委員會代碼[1] 20
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.委員會代碼:str[1] 財政委員會
會議資料.標題 第11屆第5會期經濟、財政兩委員會第1次聯席會議
影片種類 Clip
開始時間 2026-03-19T09:58:05+08:00
結束時間 2026-03-19T10:05:27+08:00
影片長度 00:07:22
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ddc1636ead3b8e596dc85984e202fd3b5fca415873cf37f15e5c86e8186f6ced85b58d3d4fa10b1e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳亭妃
委員發言時間 09:58:05 - 10:05:27
會議時間 2026-03-19T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟、財政兩委員會第1次聯席會議(事由:審查: 一、 本院委員邱志偉等17人擬具「產業創新條例第十條、第二十三條之一及第二十三條之二條文修正草案」案。 二、 本院委員鍾佳濱等20人擬具「產業創新條例第三十九條、第四十六條及第四十六條之一條文修正草案」案。 三、 本院台灣民眾黨黨團擬具「產業創新條例第三十條條文修正草案」案。 四、 本院委員賴瑞隆等21人擬具「產業創新條例部分條文修正草案」案。 五、 本院委員陳亭妃等19人擬具「產業創新條例部分條文修正草案」案。 六、 本院委員邱鎮軍等17人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。 七、 本院委員王鴻薇等23人擬具「產業創新條例第十條之一條文修正草案」案。 八、 本院委員廖偉翔等19人擬具「產業創新條例第十條之一及第二十三條之一條文修正草案」案。 九、 本院委員丁學忠等16人擬具「產業創新條例第六十七條之一及第七十條條文修正草案」案。 十、本院委員林倩綺等20人擬具「產業創新條例第十條之一及第七十二條條文修正草案」案。 十一、本院委員蔡易餘等17人擬具「產業創新條例部分條文修正草案」案。 十二、本院台灣民眾黨黨團擬具「產業創新條例部分條文修正草案」案。(僅詢答))
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 8.09721875
transcript.pyannote[0].end 10.29096875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 10.62846875
transcript.pyannote[1].end 11.72534375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 18.30659375
transcript.pyannote[2].end 19.03221875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 19.47096875
transcript.pyannote[3].end 22.84596875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 23.16659375
transcript.pyannote[4].end 27.43596875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 27.90846875
transcript.pyannote[5].end 29.49471875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 29.96721875
transcript.pyannote[6].end 32.27909375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 32.73471875
transcript.pyannote[7].end 33.78096875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 34.01721875
transcript.pyannote[8].end 34.89471875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 35.53596875
transcript.pyannote[9].end 36.54846875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 37.08846875
transcript.pyannote[10].end 37.72971875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 38.32034375
transcript.pyannote[11].end 39.23159375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 39.85596875
transcript.pyannote[12].end 41.10471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 41.54346875
transcript.pyannote[13].end 45.03659375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 45.62721875
transcript.pyannote[14].end 47.71971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 48.63096875
transcript.pyannote[15].end 49.45784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 50.01471875
transcript.pyannote[16].end 51.36471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 51.87096875
transcript.pyannote[17].end 53.30534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 54.19971875
transcript.pyannote[18].end 55.85346875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 56.51159375
transcript.pyannote[19].end 58.46909375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 59.12721875
transcript.pyannote[20].end 60.00471875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 61.40534375
transcript.pyannote[21].end 63.78471875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 64.03784375
transcript.pyannote[22].end 65.32034375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 66.14721875
transcript.pyannote[23].end 67.05846875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 67.36221875
transcript.pyannote[24].end 67.95284375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 69.33659375
transcript.pyannote[25].end 70.92284375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 71.26034375
transcript.pyannote[26].end 73.03221875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 73.43721875
transcript.pyannote[27].end 74.61846875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 75.34409375
transcript.pyannote[28].end 78.28034375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 78.53346875
transcript.pyannote[29].end 80.25471875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 80.89596875
transcript.pyannote[30].end 85.14846875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 85.58721875
transcript.pyannote[31].end 87.86534375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 88.70909375
transcript.pyannote[32].end 91.93221875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 92.65784375
transcript.pyannote[33].end 93.90659375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 94.22721875
transcript.pyannote[34].end 95.20596875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 95.94846875
transcript.pyannote[35].end 96.50534375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 97.36596875
transcript.pyannote[36].end 99.66096875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 99.98159375
transcript.pyannote[37].end 100.62284375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 101.66909375
transcript.pyannote[38].end 104.63909375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 104.97659375
transcript.pyannote[39].end 107.89596875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 107.91284375
transcript.pyannote[40].end 108.73971875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 108.84096875
transcript.pyannote[41].end 114.39284375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 114.67971875
transcript.pyannote[42].end 116.08034375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 116.95784375
transcript.pyannote[43].end 117.32909375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 117.63284375
transcript.pyannote[44].end 118.49346875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 119.55659375
transcript.pyannote[45].end 121.00784375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 121.63221875
transcript.pyannote[46].end 122.15534375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 122.37471875
transcript.pyannote[47].end 132.19596875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 132.38159375
transcript.pyannote[48].end 136.75221875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 137.20784375
transcript.pyannote[49].end 139.30034375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 139.72221875
transcript.pyannote[50].end 142.74284375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 143.36721875
transcript.pyannote[51].end 148.83471875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 149.64471875
transcript.pyannote[52].end 150.87659375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 151.72034375
transcript.pyannote[53].end 153.32346875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 152.37846875
transcript.pyannote[54].end 153.98159375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 153.89721875
transcript.pyannote[55].end 158.28471875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 157.64346875
transcript.pyannote[56].end 159.26346875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 158.57159375
transcript.pyannote[57].end 160.52909375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 160.64721875
transcript.pyannote[58].end 162.03096875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 162.11534375
transcript.pyannote[59].end 162.45284375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 162.80721875
transcript.pyannote[60].end 166.97534375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 166.97534375
transcript.pyannote[61].end 168.03846875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 168.03846875
transcript.pyannote[62].end 168.79784375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 169.57409375
transcript.pyannote[63].end 169.59096875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 169.59096875
transcript.pyannote[64].end 171.00846875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 173.40471875
transcript.pyannote[65].end 176.25659375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 175.24409375
transcript.pyannote[66].end 184.13721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 182.38221875
transcript.pyannote[67].end 182.44971875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 184.55909375
transcript.pyannote[68].end 186.07784375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 186.17909375
transcript.pyannote[69].end 187.42784375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 188.28846875
transcript.pyannote[70].end 188.33909375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 188.33909375
transcript.pyannote[71].end 188.81159375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 188.81159375
transcript.pyannote[72].end 190.02659375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 190.02659375
transcript.pyannote[73].end 190.70159375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 190.04346875
transcript.pyannote[74].end 190.93784375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 191.89971875
transcript.pyannote[75].end 194.38034375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 194.93721875
transcript.pyannote[76].end 196.72596875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 198.90284375
transcript.pyannote[77].end 199.47659375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 200.79284375
transcript.pyannote[78].end 200.84346875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 200.84346875
transcript.pyannote[79].end 201.11346875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 201.11346875
transcript.pyannote[80].end 201.13034375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 201.24846875
transcript.pyannote[81].end 202.02471875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 202.22721875
transcript.pyannote[82].end 202.49721875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 202.68284375
transcript.pyannote[83].end 203.67846875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 205.39971875
transcript.pyannote[84].end 206.19284375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 206.53034375
transcript.pyannote[85].end 208.48784375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 208.99409375
transcript.pyannote[86].end 209.85471875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 209.97284375
transcript.pyannote[87].end 215.17034375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 215.42346875
transcript.pyannote[88].end 216.57096875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 215.44034375
transcript.pyannote[89].end 216.92534375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 216.75659375
transcript.pyannote[90].end 217.56659375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 217.53284375
transcript.pyannote[91].end 219.35534375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 219.67596875
transcript.pyannote[92].end 220.23284375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 220.60409375
transcript.pyannote[93].end 225.26159375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 225.26159375
transcript.pyannote[94].end 225.61596875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 226.25721875
transcript.pyannote[95].end 226.35846875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 226.35846875
transcript.pyannote[96].end 226.40909375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 226.40909375
transcript.pyannote[97].end 226.61159375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 227.15159375
transcript.pyannote[98].end 230.34096875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 230.88096875
transcript.pyannote[99].end 233.07471875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 230.96534375
transcript.pyannote[100].end 231.55596875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 233.59784375
transcript.pyannote[101].end 245.17409375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 245.91659375
transcript.pyannote[102].end 246.79409375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 247.09784375
transcript.pyannote[103].end 247.43534375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 247.67159375
transcript.pyannote[104].end 248.24534375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 248.92034375
transcript.pyannote[105].end 251.65409375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 252.22784375
transcript.pyannote[106].end 254.57346875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 254.94471875
transcript.pyannote[107].end 255.72096875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 256.76721875
transcript.pyannote[108].end 260.02409375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 260.71596875
transcript.pyannote[109].end 261.45846875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 262.06596875
transcript.pyannote[110].end 263.51721875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 264.68159375
transcript.pyannote[111].end 267.22971875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 268.61346875
transcript.pyannote[112].end 269.11971875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 270.40221875
transcript.pyannote[113].end 274.28346875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 274.67159375
transcript.pyannote[114].end 277.27034375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 278.28284375
transcript.pyannote[115].end 279.81846875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 280.10534375
transcript.pyannote[116].end 282.29909375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 282.72096875
transcript.pyannote[117].end 284.22284375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 285.28596875
transcript.pyannote[118].end 289.04909375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 289.53846875
transcript.pyannote[119].end 291.07409375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 291.90096875
transcript.pyannote[120].end 297.80721875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 298.70159375
transcript.pyannote[121].end 300.32159375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 300.62534375
transcript.pyannote[122].end 301.84034375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 302.32971875
transcript.pyannote[123].end 305.13096875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 305.92409375
transcript.pyannote[124].end 308.03346875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 308.05034375
transcript.pyannote[125].end 309.56909375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 310.41284375
transcript.pyannote[126].end 311.76284375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 311.91471875
transcript.pyannote[127].end 313.26471875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 313.82159375
transcript.pyannote[128].end 315.03659375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 315.25596875
transcript.pyannote[129].end 320.85846875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 321.11159375
transcript.pyannote[130].end 323.33909375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 323.49096875
transcript.pyannote[131].end 325.17846875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 325.63409375
transcript.pyannote[132].end 326.35971875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 326.64659375
transcript.pyannote[133].end 327.00096875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 327.01784375
transcript.pyannote[134].end 329.83596875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 329.98784375
transcript.pyannote[135].end 330.51096875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 330.71346875
transcript.pyannote[136].end 335.11784375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 334.67909375
transcript.pyannote[137].end 336.80534375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 337.05846875
transcript.pyannote[138].end 337.37909375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 337.59846875
transcript.pyannote[139].end 338.89784375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 339.35346875
transcript.pyannote[140].end 341.09159375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 341.58096875
transcript.pyannote[141].end 345.22596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 345.68159375
transcript.pyannote[142].end 347.38596875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 347.35221875
transcript.pyannote[143].end 347.68971875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 347.68971875
transcript.pyannote[144].end 355.50284375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 356.12721875
transcript.pyannote[145].end 357.46034375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 357.86534375
transcript.pyannote[146].end 358.30409375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 358.72596875
transcript.pyannote[147].end 361.22346875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 359.55284375
transcript.pyannote[148].end 359.72159375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 361.84784375
transcript.pyannote[149].end 364.76721875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 365.40846875
transcript.pyannote[150].end 366.89346875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 368.22659375
transcript.pyannote[151].end 369.79596875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 371.33159375
transcript.pyannote[152].end 372.39471875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 372.85034375
transcript.pyannote[153].end 375.55034375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 375.71909375
transcript.pyannote[154].end 376.09034375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 376.71471875
transcript.pyannote[155].end 379.06034375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 380.00534375
transcript.pyannote[156].end 382.87409375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 383.39721875
transcript.pyannote[157].end 384.81471875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 384.89909375
transcript.pyannote[158].end 388.57784375
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 388.64534375
transcript.pyannote[159].end 389.03346875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 389.21909375
transcript.pyannote[160].end 389.91096875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 389.91096875
transcript.pyannote[161].end 397.20096875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 397.47096875
transcript.pyannote[162].end 399.86721875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 400.00221875
transcript.pyannote[163].end 403.44471875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 402.61784375
transcript.pyannote[164].end 407.51159375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 407.35971875
transcript.pyannote[165].end 407.49471875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 407.51159375
transcript.pyannote[166].end 407.52846875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 407.52846875
transcript.pyannote[167].end 407.56221875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 407.56221875
transcript.pyannote[168].end 407.64659375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 407.64659375
transcript.pyannote[169].end 413.16471875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 413.28284375
transcript.pyannote[170].end 414.68346875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 415.51034375
transcript.pyannote[171].end 418.22721875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 418.22721875
transcript.pyannote[172].end 418.61534375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 418.61534375
transcript.pyannote[173].end 421.92284375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 422.04096875
transcript.pyannote[174].end 435.22034375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 435.20346875
transcript.pyannote[175].end 435.60846875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 435.28784375
transcript.pyannote[176].end 435.30471875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 435.60846875
transcript.pyannote[177].end 441.75096875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 439.59096875
transcript.pyannote[178].end 439.72596875
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 439.72596875
transcript.pyannote[179].end 439.96221875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 439.96221875
transcript.pyannote[180].end 439.97909375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 440.83971875
transcript.pyannote[181].end 440.92409375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 440.92409375
transcript.pyannote[182].end 440.97471875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 440.97471875
transcript.pyannote[183].end 441.90284375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 442.08846875
transcript.pyannote[184].end 442.61159375
transcript.whisperx[0].start 8.637
transcript.whisperx[0].end 34.697
transcript.whisperx[0].text 謝謝主席我們請次長請經濟部何市長市長我想你幾次到台南我們考察的時候然後跟我們企業去做一個溝通其實我想我們現在中央有很多專案輔導也編了很多預算是
transcript.whisperx[1].start 35.578
transcript.whisperx[1].end 60.07
transcript.whisperx[1].text 包括转型AI或是智慧我相信这个部分我们真的希望能够跟国际接轨可是现在是有资讯落差也就是说中央的预算每一次到了南部基本上时间都过了等到他们提出案子也都来不及了
transcript.whisperx[2].start 61.705
transcript.whisperx[2].end 74.156
transcript.whisperx[2].text 現在我們產發署在我們台南有我們的分署這也是我們當時候說每次北、中、南就把台南跳過
transcript.whisperx[3].start 75.39
transcript.whisperx[3].end 100.373
transcript.whisperx[3].text 那现在我们组织重整之后台南分属有了那我们怎么利用这个台南分属结合经济部结合市政府的工业区以及我们周边民间的工业区我们把它纳进来成为一个平台所以我在10月27号的时候去年
transcript.whisperx[4].start 101.718
transcript.whisperx[4].end 118.259
transcript.whisperx[4].text 我們經濟委員會到台南考察我就要求說我們經濟部要跟台南各個園區的廠協會還有市政府所管轄的工業區要有一個聯繫平台好我們現在
transcript.whisperx[5].start 119.602
transcript.whisperx[5].end 148.42
transcript.whisperx[5].text 给我的资料是说在去年10月30号就已经有建立了台南劳资政共好劳资政共好情资平台的LINE群组然后加入的群组总共9个园区中央管辖的5个园区新宜 关铁 永康 安平 台南地方管辖的4个园区河顺 新籍 永康 总头寮
transcript.whisperx[6].start 149.69
transcript.whisperx[6].end 168.234
transcript.whisperx[6].text 全部都進來了嗎跟我們報告市長全部都進來了嗎目前是有59位的成員就包括這些沒有我先講原區市長跟幹部我先講原區原區之後再講幹部原區的工業區我跟同仁確認一下好嗎都進來了嗎
transcript.whisperx[7].start 173.922
transcript.whisperx[7].end 189.915
transcript.whisperx[7].text 目前是有九個園區啊我說中央管轄的是五個園區嘛地方管轄的是四個園區嘛那你把台南的整個工業區都納進來了嗎是嗎是嗎是嗎我再強調是嗎麻豆你就沒有納進來了還有
transcript.whisperx[8].start 201.655
transcript.whisperx[8].end 224.55
transcript.whisperx[8].text 亞太周邊的很多民間的工業區就沒有納進來這個部分我想我們再把它納進來我們請我們的原管局這邊來馬上來考慮要全部納進來好的全部納進來你才能說他的正副理事長還有幹部是不是都有納進來是
transcript.whisperx[9].start 227.536
transcript.whisperx[9].end 255.418
transcript.whisperx[9].text 你這個本體都還沒有全部納進來你怎麼能夠說他所有的人員都有納進來好我們現在包括市政府相關局處還有原管理局我們的所有分局還有地區的園區服務中心這個納進來可是我們相關的有沒有直接把我們的訊息給他包括
transcript.whisperx[10].start 256.823
transcript.whisperx[10].end 276.492
transcript.whisperx[10].text 我們幾個要輔導產業轉型的包括什麼我們智慧機械115年4月才開放申請還有我們的雲端解決方案點數補助計畫也是115年4月才開放申請還有AI工具庫點數補助計畫也是4月才申請
transcript.whisperx[11].start 285.356
transcript.whisperx[11].end 312.569
transcript.whisperx[11].text 我們看到產業升級創新平台輔導計畫全年都可以申請還有我們的產業升級相關傳統的部分我們怎麼個案輔導研發輔導還有我們的轉型輔導等等這個目前都還可以申請有把這個資料在這個平台當中顯示出來嗎
transcript.whisperx[12].start 314.114
transcript.whisperx[12].end 336.603
transcript.whisperx[12].text 跟我們報告我們現在做兩件工作第一個就是委員講的還沒有加入我們趕快把它加入第二個我會要求我們的同仁把所有我們園區廠商他可以適用的這些輔導的方案全部把它整理完之後我們就放在這樣的一個平台裡面對啊這樣子才會有成效是
transcript.whisperx[13].start 337.663
transcript.whisperx[13].end 357.092
transcript.whisperx[13].text 也就是說跟他講請他們這些幹部要跟園區的我們的廠商說明我們有這些計畫有這些輔導專案然後呢我們一定要專案輔導而不是用一個標準這樣太簡單了啦我們的輔導單位你要針對每一個需求去個別協助
transcript.whisperx[14].start 368.291
transcript.whisperx[14].end 378.87
transcript.whisperx[14].text 如果他只有一個樣態每一個企業他所面臨的問題是一樣的嗎 不一樣他一定要針對他們的需求性
transcript.whisperx[15].start 380.103
transcript.whisperx[15].end 399.535
transcript.whisperx[15].text 所以當有工業區有提出需求你們就要要求他們去到現場個別輔導是可以嗎可以可以因為搭配我們現在的輔導團我們其實都已經有建立這樣的一個機制只是這訊息的傳播可能像我們跟我們提醒的可能還沒有辦法把
transcript.whisperx[16].start 400.515
transcript.whisperx[16].end 414.184
transcript.whisperx[16].text 這些工業區我們都把它涵蓋在裡面這個要拜託你這個如果沒有全部拉進來它的成效不會出來是的地方跟中央的資訊就沒有辦法很直接的落實是所以拜託
transcript.whisperx[17].start 415.58
transcript.whisperx[17].end 440.543
transcript.whisperx[17].text 我們的經濟部辛苦一點我們既然有這麼好的協助方案我們就應該讓每一個廠商都能夠資訊透明都能夠很清楚得到中央的補助跟協助協助他們做計畫的一個申請然後怎麼寫怎麼規劃這才是最重要的好再拜託謝謝