iVOD / 15310

Field Value
IVOD_ID 15310
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15310
日期 2023-11-27
會議資料.會議代碼 黨團協商-2023112491
會議資料.會議代碼:str 立法院朝野黨團協商
會議資料.屆 10
會議資料.會期 8
會議資料.種類 黨團協商
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 立法院朝野黨團協商
影片種類 Full
開始時間 2023-11-27T13:59:59+08:00
結束時間 2023-11-27T14:40:00+08:00
影片長度 00:40:01
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528e81e72998b98d0366fa85e71f641f628446d53a332764a535602a0aae5a779b9b5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2023-11-27T14:30:00+08:00
會議名稱 立法院朝野黨團協商(事由:一、本院財政委員會報告審查本院國民黨黨團擬具「證券交易法第十四條條文修正草案」案。二、本院委員謝衣鳯等17人擬具「證券交易法第十四條條文修正草案」,請審議案。)
委員名稱 完整會議
委員發言時間 13:59:59 - 14:40:00
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 1943.94659375
transcript.pyannote[0].end 1944.50346875
transcript.pyannote[1].speaker SPEAKER_05
transcript.pyannote[1].start 1945.75221875
transcript.pyannote[1].end 1949.21159375
transcript.pyannote[2].speaker SPEAKER_05
transcript.pyannote[2].start 1949.53221875
transcript.pyannote[2].end 1950.08909375
transcript.pyannote[3].speaker SPEAKER_05
transcript.pyannote[3].start 1950.39284375
transcript.pyannote[3].end 1953.49784375
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 1953.56534375
transcript.pyannote[4].end 1953.58221875
transcript.pyannote[5].speaker SPEAKER_05
transcript.pyannote[5].start 1953.68346875
transcript.pyannote[5].end 1959.26909375
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 1959.64034375
transcript.pyannote[6].end 1964.61846875
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 1965.07409375
transcript.pyannote[7].end 1966.32284375
transcript.pyannote[8].speaker SPEAKER_05
transcript.pyannote[8].start 1967.01471875
transcript.pyannote[8].end 1971.14909375
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 1971.63846875
transcript.pyannote[9].end 1975.21596875
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 1975.67159375
transcript.pyannote[10].end 1976.02596875
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 1977.10596875
transcript.pyannote[11].end 1978.81034375
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 1979.65409375
transcript.pyannote[12].end 1984.32846875
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 1984.75034375
transcript.pyannote[13].end 1985.13846875
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 1985.59409375
transcript.pyannote[14].end 1986.06659375
transcript.pyannote[15].speaker SPEAKER_05
transcript.pyannote[15].start 1986.53909375
transcript.pyannote[15].end 1988.83409375
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 1989.23909375
transcript.pyannote[16].end 1990.06596875
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 1990.33596875
transcript.pyannote[17].end 1994.75721875
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 1995.24659375
transcript.pyannote[18].end 1997.30534375
transcript.pyannote[19].speaker SPEAKER_05
transcript.pyannote[19].start 2000.69721875
transcript.pyannote[19].end 2002.28346875
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 2002.77284375
transcript.pyannote[20].end 2003.39721875
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 2004.84846875
transcript.pyannote[21].end 2008.30784375
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 2009.60721875
transcript.pyannote[22].end 2012.93159375
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 2014.93971875
transcript.pyannote[23].end 2015.47971875
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 2016.32346875
transcript.pyannote[24].end 2018.04471875
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 2018.51721875
transcript.pyannote[25].end 2019.42846875
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 2023.02284375
transcript.pyannote[26].end 2023.56284375
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 2024.25471875
transcript.pyannote[27].end 2027.22471875
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 2029.89096875
transcript.pyannote[28].end 2030.76846875
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 2031.49409375
transcript.pyannote[29].end 2032.54034375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 2033.33346875
transcript.pyannote[30].end 2034.00846875
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 2035.22346875
transcript.pyannote[31].end 2035.44284375
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 2035.47659375
transcript.pyannote[32].end 2036.11784375
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 2036.26971875
transcript.pyannote[33].end 2037.07971875
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 2037.40034375
transcript.pyannote[34].end 2039.86409375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 2041.16346875
transcript.pyannote[35].end 2041.53471875
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 2042.32784375
transcript.pyannote[36].end 2044.16721875
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 2046.31034375
transcript.pyannote[37].end 2047.96409375
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 2047.96409375
transcript.pyannote[38].end 2048.92596875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 2051.27159375
transcript.pyannote[39].end 2053.00971875
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 2052.40221875
transcript.pyannote[40].end 2052.43596875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 2052.43596875
transcript.pyannote[41].end 2053.02659375
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 2053.02659375
transcript.pyannote[42].end 2054.57909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 2054.79846875
transcript.pyannote[43].end 2062.37534375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 2062.81409375
transcript.pyannote[44].end 2063.92784375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 2064.19784375
transcript.pyannote[45].end 2066.83034375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 2067.18471875
transcript.pyannote[46].end 2071.74096875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 2071.99409375
transcript.pyannote[47].end 2076.46596875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 2076.70221875
transcript.pyannote[48].end 2079.82409375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 2079.40221875
transcript.pyannote[49].end 2079.62159375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 2080.22909375
transcript.pyannote[50].end 2094.15096875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 2094.48846875
transcript.pyannote[51].end 2098.53846875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 2099.12909375
transcript.pyannote[52].end 2105.10284375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 2105.64284375
transcript.pyannote[53].end 2108.78159375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 2109.00096875
transcript.pyannote[54].end 2116.15596875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 2116.61159375
transcript.pyannote[55].end 2118.65346875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 2118.92346875
transcript.pyannote[56].end 2121.18471875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 2121.31971875
transcript.pyannote[57].end 2126.31471875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 2126.90534375
transcript.pyannote[58].end 2130.73596875
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 2134.17846875
transcript.pyannote[59].end 2134.95471875
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 2135.66346875
transcript.pyannote[60].end 2137.04721875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 2137.41846875
transcript.pyannote[61].end 2138.22846875
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 2138.22846875
transcript.pyannote[62].end 2138.24534375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 2138.66721875
transcript.pyannote[63].end 2139.96659375
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 2139.96659375
transcript.pyannote[64].end 2191.84034375
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 2191.90784375
transcript.pyannote[65].end 2222.46846875
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 2223.09284375
transcript.pyannote[66].end 2234.75346875
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 2235.05721875
transcript.pyannote[67].end 2244.40596875
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 2244.79409375
transcript.pyannote[68].end 2251.08846875
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 2252.55659375
transcript.pyannote[69].end 2254.80096875
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 2255.66159375
transcript.pyannote[70].end 2257.77096875
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 2258.36159375
transcript.pyannote[71].end 2265.48284375
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 2265.90471875
transcript.pyannote[72].end 2267.06909375
transcript.pyannote[73].speaker SPEAKER_05
transcript.pyannote[73].start 2267.50784375
transcript.pyannote[73].end 2269.21221875
transcript.pyannote[74].speaker SPEAKER_05
transcript.pyannote[74].start 2269.61721875
transcript.pyannote[74].end 2272.84034375
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 2273.46471875
transcript.pyannote[75].end 2274.29159375
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 2274.62909375
transcript.pyannote[76].end 2275.33784375
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 2275.74284375
transcript.pyannote[77].end 2283.35346875
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 2283.53909375
transcript.pyannote[78].end 2284.21409375
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 2284.50096875
transcript.pyannote[79].end 2288.77034375
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 2289.39471875
transcript.pyannote[80].end 2291.92596875
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 2292.71909375
transcript.pyannote[81].end 2300.16096875
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 2301.08909375
transcript.pyannote[82].end 2301.86534375
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 2302.27034375
transcript.pyannote[83].end 2304.88596875
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 2305.45971875
transcript.pyannote[84].end 2306.43846875
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 2306.99534375
transcript.pyannote[85].end 2307.95721875
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 2308.93596875
transcript.pyannote[86].end 2310.35346875
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 2311.33221875
transcript.pyannote[87].end 2315.88846875
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 2316.15846875
transcript.pyannote[88].end 2317.44096875
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 2318.01471875
transcript.pyannote[89].end 2321.11971875
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 2321.62596875
transcript.pyannote[90].end 2324.37659375
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 2324.49471875
transcript.pyannote[91].end 2329.40534375
transcript.pyannote[92].speaker SPEAKER_05
transcript.pyannote[92].start 2329.82721875
transcript.pyannote[92].end 2340.79596875
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 2341.80846875
transcript.pyannote[93].end 2342.98971875
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 2343.12471875
transcript.pyannote[94].end 2349.09846875
transcript.pyannote[95].speaker SPEAKER_05
transcript.pyannote[95].start 2349.18284375
transcript.pyannote[95].end 2356.47284375
transcript.pyannote[96].speaker SPEAKER_05
transcript.pyannote[96].start 2357.16471875
transcript.pyannote[96].end 2357.70471875
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 2358.26159375
transcript.pyannote[97].end 2359.45971875
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 2359.94909375
transcript.pyannote[98].end 2360.62409375
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 2360.70846875
transcript.pyannote[99].end 2361.67034375
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 2361.75471875
transcript.pyannote[100].end 2364.48846875
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 2364.99471875
transcript.pyannote[101].end 2366.80034375
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 2367.18846875
transcript.pyannote[102].end 2367.54284375
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 2368.52159375
transcript.pyannote[103].end 2369.55096875
transcript.pyannote[104].speaker SPEAKER_05
transcript.pyannote[104].start 2369.97284375
transcript.pyannote[104].end 2377.80284375
transcript.pyannote[105].speaker SPEAKER_05
transcript.pyannote[105].start 2378.76471875
transcript.pyannote[105].end 2379.20346875
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 2379.82784375
transcript.pyannote[106].end 2380.31721875
transcript.pyannote[107].speaker SPEAKER_05
transcript.pyannote[107].start 2380.84034375
transcript.pyannote[107].end 2381.36346875
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 2381.78534375
transcript.pyannote[108].end 2382.88221875
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 2383.82721875
transcript.pyannote[109].end 2385.43034375
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 2386.08846875
transcript.pyannote[110].end 2387.84346875
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 2388.23159375
transcript.pyannote[111].end 2390.25659375
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 2390.79659375
transcript.pyannote[112].end 2392.61909375
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 2392.90596875
transcript.pyannote[113].end 2394.03659375
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 2394.71159375
transcript.pyannote[114].end 2397.78284375
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 2397.85034375
transcript.pyannote[115].end 2399.60534375
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 2399.95971875
transcript.pyannote[116].end 2405.32596875
transcript.pyannote[117].speaker SPEAKER_05
transcript.pyannote[117].start 2405.89971875
transcript.pyannote[117].end 2406.91221875
transcript.pyannote[118].speaker SPEAKER_05
transcript.pyannote[118].start 2407.19909375
transcript.pyannote[118].end 2407.84034375
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 2408.44784375
transcript.pyannote[119].end 2410.62471875
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 2411.43471875
transcript.pyannote[120].end 2411.72159375
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 2412.04221875
transcript.pyannote[121].end 2414.08409375
transcript.pyannote[122].speaker SPEAKER_05
transcript.pyannote[122].start 2414.20221875
transcript.pyannote[122].end 2414.70846875
transcript.pyannote[123].speaker SPEAKER_05
transcript.pyannote[123].start 2415.36659375
transcript.pyannote[123].end 2416.29471875
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 2417.61096875
transcript.pyannote[124].end 2419.46721875
transcript.pyannote[125].speaker SPEAKER_05
transcript.pyannote[125].start 2419.93971875
transcript.pyannote[125].end 2420.17596875
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 2420.59784375
transcript.pyannote[126].end 2422.23471875
transcript.pyannote[127].speaker SPEAKER_05
transcript.pyannote[127].start 2422.62284375
transcript.pyannote[127].end 2425.39034375
transcript.pyannote[128].speaker SPEAKER_05
transcript.pyannote[128].start 2425.74471875
transcript.pyannote[128].end 2428.44471875
transcript.pyannote[129].speaker SPEAKER_05
transcript.pyannote[129].start 2429.38971875
transcript.pyannote[129].end 2431.93784375
transcript.pyannote[130].speaker SPEAKER_05
transcript.pyannote[130].start 2431.97159375
transcript.pyannote[130].end 2432.02221875
transcript.pyannote[131].speaker SPEAKER_05
transcript.pyannote[131].start 2432.15721875
transcript.pyannote[131].end 2432.56221875
transcript.pyannote[132].speaker SPEAKER_05
transcript.pyannote[132].start 2433.62534375
transcript.pyannote[132].end 2434.08096875
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 2434.41846875
transcript.pyannote[133].end 2436.76409375
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 2437.60784375
transcript.pyannote[134].end 2440.05471875
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 2440.40909375
transcript.pyannote[135].end 2441.92784375
transcript.pyannote[136].speaker SPEAKER_05
transcript.pyannote[136].start 2443.61534375
transcript.pyannote[136].end 2446.61909375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 2448.61034375
transcript.pyannote[137].end 2448.69471875
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 2449.20096875
transcript.pyannote[138].end 2450.77034375
transcript.pyannote[139].speaker SPEAKER_06
transcript.pyannote[139].start 2450.77034375
transcript.pyannote[139].end 2452.18784375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 2452.27221875
transcript.pyannote[140].end 2453.09909375
transcript.pyannote[141].speaker SPEAKER_06
transcript.pyannote[141].start 2453.01471875
transcript.pyannote[141].end 2453.72346875
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 2454.33096875
transcript.pyannote[142].end 2457.01409375
transcript.pyannote[143].speaker SPEAKER_06
transcript.pyannote[143].start 2456.45721875
transcript.pyannote[143].end 2458.76909375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 2458.39784375
transcript.pyannote[144].end 2461.23284375
transcript.pyannote[145].speaker SPEAKER_06
transcript.pyannote[145].start 2459.71409375
transcript.pyannote[145].end 2459.76471875
transcript.pyannote[146].speaker SPEAKER_06
transcript.pyannote[146].start 2459.83221875
transcript.pyannote[146].end 2459.96721875
transcript.pyannote[147].speaker SPEAKER_06
transcript.pyannote[147].start 2461.48596875
transcript.pyannote[147].end 2463.66284375
transcript.pyannote[148].speaker SPEAKER_05
transcript.pyannote[148].start 2474.91846875
transcript.pyannote[148].end 2476.01534375
transcript.pyannote[149].speaker SPEAKER_05
transcript.pyannote[149].start 2477.09534375
transcript.pyannote[149].end 2477.34846875
transcript.pyannote[150].speaker SPEAKER_06
transcript.pyannote[150].start 2477.34846875
transcript.pyannote[150].end 2477.36534375
transcript.pyannote[151].speaker SPEAKER_05
transcript.pyannote[151].start 2477.36534375
transcript.pyannote[151].end 2477.38221875
transcript.pyannote[152].speaker SPEAKER_06
transcript.pyannote[152].start 2477.38221875
transcript.pyannote[152].end 2477.39909375
transcript.pyannote[153].speaker SPEAKER_05
transcript.pyannote[153].start 2477.39909375
transcript.pyannote[153].end 2477.50034375
transcript.pyannote[154].speaker SPEAKER_06
transcript.pyannote[154].start 2477.50034375
transcript.pyannote[154].end 2477.56784375
transcript.pyannote[155].speaker SPEAKER_06
transcript.pyannote[155].start 2478.46221875
transcript.pyannote[155].end 2478.49596875
transcript.pyannote[156].speaker SPEAKER_05
transcript.pyannote[156].start 2478.49596875
transcript.pyannote[156].end 2478.63096875
transcript.pyannote[157].speaker SPEAKER_06
transcript.pyannote[157].start 2478.63096875
transcript.pyannote[157].end 2479.84596875
transcript.pyannote[158].speaker SPEAKER_06
transcript.pyannote[158].start 2480.52096875
transcript.pyannote[158].end 2481.02721875
transcript.pyannote[159].speaker SPEAKER_06
transcript.pyannote[159].start 2482.44471875
transcript.pyannote[159].end 2484.58784375
transcript.pyannote[160].speaker SPEAKER_06
transcript.pyannote[160].start 2486.32596875
transcript.pyannote[160].end 2490.03846875
transcript.pyannote[161].speaker SPEAKER_06
transcript.pyannote[161].start 2507.31846875
transcript.pyannote[161].end 2507.94284375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 2512.75221875
transcript.pyannote[162].end 2513.08971875
transcript.pyannote[163].speaker SPEAKER_06
transcript.pyannote[163].start 2513.08971875
transcript.pyannote[163].end 2513.44409375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 2513.76471875
transcript.pyannote[164].end 2515.16534375
transcript.pyannote[165].speaker SPEAKER_06
transcript.pyannote[165].start 2514.25409375
transcript.pyannote[165].end 2514.45659375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 2515.48596875
transcript.pyannote[166].end 2516.80221875
transcript.pyannote[167].speaker SPEAKER_03
transcript.pyannote[167].start 2539.66784375
transcript.pyannote[167].end 2541.49034375
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 2544.29159375
transcript.pyannote[168].end 2545.77659375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 2547.83534375
transcript.pyannote[169].end 2551.19346875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 2551.90221875
transcript.pyannote[170].end 2552.03721875
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 2552.03721875
transcript.pyannote[171].end 2554.48409375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 2554.93971875
transcript.pyannote[172].end 2555.12534375
transcript.pyannote[173].speaker SPEAKER_06
transcript.pyannote[173].start 2555.12534375
transcript.pyannote[173].end 2555.80034375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 2556.20534375
transcript.pyannote[174].end 2569.04721875
transcript.pyannote[175].speaker SPEAKER_06
transcript.pyannote[175].start 2557.26846875
transcript.pyannote[175].end 2558.70284375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 2567.91659375
transcript.pyannote[176].end 2568.25409375
transcript.pyannote[177].speaker SPEAKER_06
transcript.pyannote[177].start 2568.25409375
transcript.pyannote[177].end 2568.27096875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 2569.48596875
transcript.pyannote[178].end 2570.31284375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 2570.86971875
transcript.pyannote[179].end 2570.93721875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 2570.93721875
transcript.pyannote[180].end 2570.97096875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 2570.97096875
transcript.pyannote[181].end 2571.88221875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 2572.18596875
transcript.pyannote[182].end 2574.02534375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 2574.07596875
transcript.pyannote[183].end 2576.08409375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 2576.55659375
transcript.pyannote[184].end 2579.22284375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 2580.50534375
transcript.pyannote[185].end 2585.92221875
transcript.whisperx[0].start 1945.765
transcript.whisperx[0].end 1974.716
transcript.whisperx[0].text 好 謝謝我們開始今天兩點半有關《證券交易法第十四條條文修正草案》有關《證券交易法第十四條條文修正草案》裡面大概就是上個會期大家有討論到的這個《證券交易法第十四條條文修正草案》國民黨團提的還有本院謝衣鳯委員等17人擬具這個修正草案進步二讀
transcript.whisperx[1].start 1975.734
transcript.whisperx[1].end 1996.969
transcript.whisperx[1].text 那這個大概就是對於上市櫃公司的一些員工的照顧福利等等相關的問題介紹一下行政官員首先介紹出席金華會主委黃天牧黃主委政企局張振山張局長
transcript.whisperx[2].start 2006.419
transcript.whisperx[2].end 2019.165
transcript.whisperx[2].text 中嘉賓、中委員財政部輔水署專門委員胡士賢經濟部商業發展署副署長張雅娟勞動部勞動協建師專門委員李怡萱
transcript.whisperx[3].start 2030.112
transcript.whisperx[3].end 2048.911
transcript.whisperx[3].text 黃埔城市林豐文城市好,那我們先開始協商那請問是由宗教兵中委員要不要先發言我們先請反機關表達他們對於修正案的看法
transcript.whisperx[4].start 2052.072
transcript.whisperx[4].end 2052.252
transcript.whisperx[4].text 軍管委員
transcript.whisperx[5].start 2067.285
transcript.whisperx[5].end 2067.325
transcript.whisperx[5].text 主席
transcript.whisperx[6].start 2097.039
transcript.whisperx[6].end 2097.219
transcript.whisperx[6].text ﹚立法院朝野黨團擬具
transcript.whisperx[7].start 2121.711
transcript.whisperx[7].end 2122.052
transcript.whisperx[7].text 中委員發言
transcript.whisperx[8].start 2138.737
transcript.whisperx[8].end 2156.037
transcript.whisperx[8].text 我覺得修法的用意是很好因為這幾年來我們上次公司獲利都節節創新高但是上次公司的獲利有沒有反映到除了股東權益之外反映到員工的貢獻上這是社會上一直在討論的問題
transcript.whisperx[9].start 2157.358
transcript.whisperx[9].end 2179.338
transcript.whisperx[9].text 我們覺得臺灣整體的薪資水準比起相對國家來我們是可以有成長的空間但怎麼樣促進尤其是上次公司都是臺灣企業的表率都是比較競爭力的公司那怎麼樣讓他們促進將公司的員工的貢獻在公司的績效上回過頭來變成他們的待遇為什麼這有幾個方法
transcript.whisperx[10].start 2179.998
transcript.whisperx[10].end 2196.998
transcript.whisperx[10].text 我個人在那時候也提出過就是初期我們用揭露的方式讓上市公司他們對於員工待遇的調整做一些揭露那因為我們在法律上去要求什麼剛剛所說的
transcript.whisperx[11].start 2197.679
transcript.whisperx[11].end 2197.999
transcript.whisperx[11].text 我們比較關注的
transcript.whisperx[12].start 2223.206
transcript.whisperx[12].end 2250.465
transcript.whisperx[12].text 是不患寡而患不均也就是說有些公司賺了錢通通進了高管的口袋裡所以我們是那時候是提出說希望將公司管理階層以及壽星階層呢把它做個區分我們看看它的比例怎麼樣讓社會來知道所以我覺得用意雖好但是過去看起來要落實是很困難所以我們覺得這個案子是不是在送到院裡面大家共同來討論
transcript.whisperx[13].start 2253.557
transcript.whisperx[13].end 2272.306
transcript.whisperx[13].text 謝謝 因為這個部分是國民黨黨團所提的 謝衣鳯、謝委員最主要是因為勞工朋友非常的辛苦現在這幾年感覺經濟成長力度非常強
transcript.whisperx[14].start 2273.547
transcript.whisperx[14].end 2299.58
transcript.whisperx[14].text 甚至現在這個整個台址即將可能要破兩萬點現在在努力在往上爬但是經濟成長的國師卻沒有受到全民的共享所以貧者越貧富者越富我們看到上市櫃公司大概有近兩千家的公司裡面充斥著許多的慣老闆
transcript.whisperx[15].start 2301.544
transcript.whisperx[15].end 2309.908
transcript.whisperx[15].text 郵寄二十年前可能剛創業的時候平手知足給員工很多的承諾
transcript.whisperx[16].start 2311.625
transcript.whisperx[16].end 2340.228
transcript.whisperx[16].text 每一次每一年都是說哎呀大家共體時間喔忍一下就過去了可是忍了又忍了忍了又過了十年又過去了當公司股價可能到了這個反應這是一個櫥窗那股價已經破一百塊的時候還是老話一句面對外在的強大的競爭我們要多一點的錢留在公司當研發那所有的員工的薪資也沒有調高
transcript.whisperx[17].start 2342.057
transcript.whisperx[17].end 2365.566
transcript.whisperx[17].text 或者是說今年大概所謂宮古行戶也是經過我們在財委會這邊不斷的拼命的擠炸好不容易就說好吧那就加個4%加個5%好了可是當面對一顆荷包蛋從5塊已經漲到一顆荷包蛋15塊的時候即便是漲4%5%那
transcript.whisperx[18].start 2368.784
transcript.whisperx[18].end 2393.179
transcript.whisperx[18].text 貝水車薪對於員工的生活這些辛苦的這個勞工朋友又有什麼樣的幫助呢所以我想國民黨黨團所提的這樣的一個案修正案最主要是要有一股力量來促使主管機關大家可以共同來關心怎麼樣來推動
transcript.whisperx[19].start 2394.775
transcript.whisperx[19].end 2410.094
transcript.whisperx[19].text 否則今天講一講,到了明年一樣沒加薪。這個案子如果擺在那邊,我跟你保證,再過五年十年,會加薪的也不到10%、20%。每一次都是這個重樣的劇本不斷在演出。
transcript.whisperx[20].start 2411.465
transcript.whisperx[20].end 2431.201
transcript.whisperx[20].text 那當然大家剛也都表示意見啦所以我們是不是請大家共同思考一下那個還有點時間我們這部分就是保留送院會協商請院長有機會再來協調一下中委員是這樣OK嗎?OK啦好
transcript.whisperx[21].start 2433.689
transcript.whisperx[21].end 2446.353
transcript.whisperx[21].text 那不曉得還有沒有什麼其他的意見如果沒有意見的話我們就確定保留送院會協商本案的協商到此為止散會謝謝大家
transcript.whisperx[22].start 2461.533
transcript.whisperx[22].end 2461.773
transcript.whisperx[22].text 主席
transcript.whisperx[23].start 2486.423
transcript.whisperx[23].end 2487.863
transcript.whisperx[23].text 法定人數不足
transcript.whisperx[24].start 2514.085
transcript.whisperx[24].end 2514.946
transcript.whisperx[24].text 法定人數不足
transcript.whisperx[25].start 2539.985
transcript.whisperx[25].end 2541.346
transcript.whisperx[25].text 法定人數不足
transcript.whisperx[26].start 2548.342
transcript.whisperx[26].end 2549.743
transcript.whisperx[26].text 法定人數不足
transcript.whisperx[27].start 2570.916
transcript.whisperx[27].end 2583.341
transcript.whisperx[27].text 然後那個我這牌子都是發的什麼這牌子都是發的對我們剛剛幫你放的啊然後就是高偉跟那個