iVOD / 168786

Field Value
IVOD_ID 168786
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168786
日期 2026-04-23
會議資料.會議代碼 委員會-11-5-19-10
會議資料.會議代碼:str 第11屆第5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 5
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5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 2026-04-23T10:11:28+08:00
結束時間 2026-04-23T10:17:47+08:00
影片長度 00:06:19
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a0a6b12795be54427463701433b1734647e947452b276263d3cfaf5c3773194df0c8cd608c1fd9b75ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 10:11:28 - 10:17:47
會議時間 2026-04-23T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第10次全體委員會議(事由:一、審查115年度中央政府總預算案關於公平交易委員會單位預算及附屬單位預算非營業部分關於公平交易委員會主管:反托拉斯基金。(詢答) 二、審查: (一) 本院委員伍麗華Saidhai Tahovecahe等17人擬具「土石採取法第三條條文修正草案」案。 (二) 本院委員黃仁等36人擬具「土石採取法第三條及第十四條條文修正草案」案。 (三) 本院委員邱議瑩等21人擬具「土石採取法部分條文修正草案」案。 (四) 本院委員賴瑞隆等19人擬具「土石採取法部分條文修正草案」案。 (五) 本院委員許智傑等31人擬具「土石採取法第三十六條條文修正草案」案。 (六) 本院委員柯志恩等19人擬具「土石採取法第三十六條條文修正草案」案。 (七) 本院委員邱鎮軍等24人擬具「土石採取法第三十六條、第三十八條及第三十九條條文修正草案」案。 (八) 本院委員陳亭妃等16人擬具「土石採取法第三十六條條文修正草案」案。 (九) 本院委員丁學忠等16人擬具「土石採取法第三十六條條文修正草案」案。 (十) 本院台灣民眾黨黨團擬具「土石採取法第三十六條、第三十八條及第四十一條條文修正草案」案。 (第十案如未接獲院會交付審查之議事處來文,則不予審查) (詢答及處理) 【4月22日及23日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 19.74096875
transcript.pyannote[0].end 21.85034375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 23.35221875
transcript.pyannote[1].end 23.92596875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 24.60096875
transcript.pyannote[2].end 25.44471875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 29.98409375
transcript.pyannote[3].end 30.52409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 30.77721875
transcript.pyannote[4].end 31.13159375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 31.75596875
transcript.pyannote[5].end 35.65409375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 36.41346875
transcript.pyannote[6].end 38.62409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 38.99534375
transcript.pyannote[7].end 42.52221875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 43.06221875
transcript.pyannote[8].end 46.63971875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 47.36534375
transcript.pyannote[9].end 49.32284375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 49.89659375
transcript.pyannote[10].end 51.48284375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 51.78659375
transcript.pyannote[11].end 53.10284375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 53.30534375
transcript.pyannote[12].end 55.17846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 56.14034375
transcript.pyannote[13].end 62.43471875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 63.16034375
transcript.pyannote[14].end 66.38346875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 66.67034375
transcript.pyannote[15].end 67.27784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 68.03721875
transcript.pyannote[16].end 70.61909375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 72.47534375
transcript.pyannote[17].end 73.03221875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 75.95159375
transcript.pyannote[18].end 86.73471875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 87.22409375
transcript.pyannote[19].end 88.59096875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 89.36721875
transcript.pyannote[20].end 94.46346875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 89.80596875
transcript.pyannote[21].end 92.87721875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 94.46346875
transcript.pyannote[22].end 97.46721875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 97.87221875
transcript.pyannote[23].end 98.69909375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 99.18846875
transcript.pyannote[24].end 103.45784375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 103.99784375
transcript.pyannote[25].end 107.84534375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 107.96346875
transcript.pyannote[26].end 112.92471875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 113.21159375
transcript.pyannote[27].end 115.30409375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 115.79346875
transcript.pyannote[28].end 119.26971875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 120.02909375
transcript.pyannote[29].end 122.27346875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 123.04971875
transcript.pyannote[30].end 125.19284375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 125.47971875
transcript.pyannote[31].end 126.20534375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 127.43721875
transcript.pyannote[32].end 128.43284375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 130.47471875
transcript.pyannote[33].end 133.79909375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 133.79909375
transcript.pyannote[34].end 134.06909375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 134.06909375
transcript.pyannote[35].end 138.00096875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 135.65534375
transcript.pyannote[36].end 135.80721875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 137.81534375
transcript.pyannote[37].end 138.20346875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 140.49846875
transcript.pyannote[38].end 141.44346875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 141.78096875
transcript.pyannote[39].end 143.51909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 143.65409375
transcript.pyannote[40].end 145.32471875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 146.20221875
transcript.pyannote[41].end 147.07971875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 147.67034375
transcript.pyannote[42].end 150.28596875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 150.72471875
transcript.pyannote[43].end 151.77096875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 152.09159375
transcript.pyannote[44].end 153.99846875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 154.47096875
transcript.pyannote[45].end 158.92596875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 159.56721875
transcript.pyannote[46].end 162.13221875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 162.70596875
transcript.pyannote[47].end 165.32159375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 165.65909375
transcript.pyannote[48].end 166.38471875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 167.04284375
transcript.pyannote[49].end 167.86971875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 168.25784375
transcript.pyannote[50].end 168.79784375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 169.43909375
transcript.pyannote[51].end 171.34596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 171.95346875
transcript.pyannote[52].end 172.24034375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 172.61159375
transcript.pyannote[53].end 174.50159375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 175.44659375
transcript.pyannote[54].end 177.55596875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 177.87659375
transcript.pyannote[55].end 179.71596875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 180.12096875
transcript.pyannote[56].end 180.69471875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 181.52159375
transcript.pyannote[57].end 183.54659375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 183.91784375
transcript.pyannote[58].end 184.81221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 185.50409375
transcript.pyannote[59].end 186.97221875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 186.88784375
transcript.pyannote[60].end 195.12284375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 187.24221875
transcript.pyannote[61].end 188.32221875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 195.25784375
transcript.pyannote[62].end 195.29159375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 195.29159375
transcript.pyannote[63].end 195.67971875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 195.67971875
transcript.pyannote[64].end 196.81034375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 195.69659375
transcript.pyannote[65].end 199.12221875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 199.13909375
transcript.pyannote[66].end 199.15596875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 199.15596875
transcript.pyannote[67].end 202.88534375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 203.34096875
transcript.pyannote[68].end 204.21846875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 204.92721875
transcript.pyannote[69].end 207.10409375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 207.55971875
transcript.pyannote[70].end 208.15034375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 208.65659375
transcript.pyannote[71].end 212.25096875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 212.70659375
transcript.pyannote[72].end 214.17471875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 214.79909375
transcript.pyannote[73].end 215.50784375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 215.99721875
transcript.pyannote[74].end 217.80284375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 217.97159375
transcript.pyannote[75].end 220.55346875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 221.26221875
transcript.pyannote[76].end 223.32096875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 223.54034375
transcript.pyannote[77].end 226.30784375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 226.62846875
transcript.pyannote[78].end 228.43409375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 229.02471875
transcript.pyannote[79].end 230.98221875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 231.53909375
transcript.pyannote[80].end 232.75409375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 232.90596875
transcript.pyannote[81].end 234.15471875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 234.79596875
transcript.pyannote[82].end 235.74096875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 236.06159375
transcript.pyannote[83].end 236.36534375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 236.63534375
transcript.pyannote[84].end 239.20034375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 239.52096875
transcript.pyannote[85].end 241.68096875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 241.00596875
transcript.pyannote[86].end 241.03971875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 241.03971875
transcript.pyannote[87].end 241.46159375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 242.44034375
transcript.pyannote[88].end 246.00096875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 246.33846875
transcript.pyannote[89].end 247.45221875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 248.54909375
transcript.pyannote[90].end 249.73034375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 250.25346875
transcript.pyannote[91].end 250.89471875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 257.30721875
transcript.pyannote[92].end 262.01534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 257.52659375
transcript.pyannote[93].end 257.94846875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 262.36971875
transcript.pyannote[94].end 263.88846875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 264.34409375
transcript.pyannote[95].end 266.85846875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 267.28034375
transcript.pyannote[96].end 270.67221875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 271.14471875
transcript.pyannote[97].end 272.25846875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 272.41034375
transcript.pyannote[98].end 274.16534375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 274.73909375
transcript.pyannote[99].end 275.73471875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 276.10596875
transcript.pyannote[100].end 276.49409375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 276.81471875
transcript.pyannote[101].end 282.90659375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 283.29471875
transcript.pyannote[102].end 288.03659375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 288.54284375
transcript.pyannote[103].end 290.39909375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 290.83784375
transcript.pyannote[104].end 293.36909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 293.57159375
transcript.pyannote[105].end 295.68096875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 295.96784375
transcript.pyannote[106].end 298.66784375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 299.68034375
transcript.pyannote[107].end 300.52409375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 301.26659375
transcript.pyannote[108].end 302.56596875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 302.97096875
transcript.pyannote[109].end 305.72159375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 306.17721875
transcript.pyannote[110].end 307.25721875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 307.49346875
transcript.pyannote[111].end 309.13034375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 309.31596875
transcript.pyannote[112].end 311.56034375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 311.89784375
transcript.pyannote[113].end 314.53034375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 314.96909375
transcript.pyannote[114].end 317.14596875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 317.93909375
transcript.pyannote[115].end 318.59721875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 319.50846875
transcript.pyannote[116].end 321.80346875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 322.41096875
transcript.pyannote[117].end 332.04659375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 332.36721875
transcript.pyannote[118].end 333.07596875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 333.53159375
transcript.pyannote[119].end 335.15159375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 335.45534375
transcript.pyannote[120].end 343.79159375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 344.09534375
transcript.pyannote[121].end 347.62221875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 348.17909375
transcript.pyannote[122].end 351.28409375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 351.41909375
transcript.pyannote[123].end 356.93721875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 356.93721875
transcript.pyannote[124].end 358.67534375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 359.13096875
transcript.pyannote[125].end 361.34159375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 362.28659375
transcript.pyannote[126].end 364.49721875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 365.25659375
transcript.pyannote[127].end 368.29409375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 368.85096875
transcript.pyannote[128].end 371.21346875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 371.43284375
transcript.pyannote[129].end 374.68971875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 375.76971875
transcript.pyannote[130].end 378.40221875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 378.90846875
transcript.pyannote[131].end 380.07284375
transcript.whisperx[0].start 23.418
transcript.whisperx[0].end 30.343
transcript.whisperx[0].text 今天這個公平交易委員會的預算
transcript.whisperx[1].start 36.542
transcript.whisperx[1].end 52.553
transcript.whisperx[1].text 我們看你的報告裡面提到這個稅率的部分在114年度預算數1億1927萬多元主要是罰還收入截至12月底子處分罰還6106萬元
transcript.whisperx[2].start 56.569
transcript.whisperx[2].end 61.133
transcript.whisperx[2].text 處分確定列入收入計28億9326萬6千元請教一下這個26億9千多萬9千多萬是什麼時候這個收到的
transcript.whisperx[3].start 76.164
transcript.whisperx[3].end 88.374
transcript.whisperx[3].text 我想這個金額之所以那麼大幅增加主要是因為剛剛在委員談到的這個電容器跟民營電廠那個法環確定所以一下子就進來很多的法環已經收到了嗎今天在六月跟九月
transcript.whisperx[4].start 89.434
transcript.whisperx[4].end 118.914
transcript.whisperx[4].text 有去年的6月9月是去年的10月他陸陸續續進來對所以已經在去年的就是已經是增加是增加了你們的稅路了是好所以如果我們這樣的來當然我們是希望這個依法依法處理是尤其是我們這個詐騙案特別多公平教育的各方面的詐騙這過去也諮詢了很多次
transcript.whisperx[5].start 120.135
transcript.whisperx[5].end 145.013
transcript.whisperx[5].text 所以你的115年度仍然維持1億多的這個稅入可以再增加吧其實就路同委員知道因為這個稅入主要是來自於罰還那罰還是有高度的不確定性因為是訴訟、行政救濟等等各方面好 這個我已經談了很多次了這個是完備法制
transcript.whisperx[6].start 146.544
transcript.whisperx[6].end 158.523
transcript.whisperx[6].text 這個部分你們特別提到檢討修正公平交易法確實是要修了如果我們看上次我質詢的已經質詢了很多次
transcript.whisperx[7].start 159.905
transcript.whisperx[7].end 184.69
transcript.whisperx[7].text 這個公平教育法主要的條文從106年6月14日到現在已經9年了都沒有修了你們曾經公平教育委員會曾經在2023年6月6號議告要修正公平教育法的部分條文
transcript.whisperx[8].start 185.56
transcript.whisperx[8].end 202.304
transcript.whisperx[8].text 阿結果這麼久了?各位報告我們現在已經有一個修法小組已經開過一次會我們下禮拜要再開會已經有提出這個準備要修法的條文阿已經開始著手在進行議定什麼時候會報行政院?這個我目前還沒有確定的期程但是我們會盡快因為
transcript.whisperx[9].start 204.997
transcript.whisperx[9].end 220.311
transcript.whisperx[9].text 你們可以參考過期我們在經濟委員會其他立委包括我所提出來的這個現在這個因為詐騙案很多是網路網路詐騙而且是交易
transcript.whisperx[10].start 221.332
transcript.whisperx[10].end 250.41
transcript.whisperx[10].text 是以交易的名義來去結果都是被詐騙了所以這個不能怎麼樣去因應不要每一次這個都是推給這個司法機關司法機關是最後了但前面前面要有一個非常好的完備的法規好這個部分所以要請這個好接下來請那個經濟部水利署我們經濟部次長
transcript.whisperx[11].start 257.332
transcript.whisperx[11].end 275.379
transcript.whisperx[11].text 好 市長今天這個有土石採取法的一個修正條文當然主要是因應之前在高雄的這些土石採取或是其他地方大量造成的這些影響那本席
transcript.whisperx[12].start 276.899
transcript.whisperx[12].end 300.141
transcript.whisperx[12].text 跟我们其他立法原住民的立委也非常关注这个第三条根据原住民族基本法相关的这些规定能够把这个明确化在整个土石采集法里面像第三条针对不只是原住民自然人
transcript.whisperx[13].start 301.551
transcript.whisperx[13].end 318.302
transcript.whisperx[13].text 還包含部落很多傳統的技藝各方面都是部落來為主體的需要希望能夠納入那有關相關的這些石板屋不只是個人家庭包括
transcript.whisperx[14].start 319.554
transcript.whisperx[14].end 347.347
transcript.whisperx[14].text 機關、學校也都會有甚至教會也都會有所以這個部分也都能夠把它納入另外就是14條也做了這樣的修正當然我們下午審查的時候也請經濟部支持還有其他的相關的部會我們下午再好好的討論好不好
transcript.whisperx[15].start 348.24
transcript.whisperx[15].end 374.146
transcript.whisperx[15].text 好 謝謝委員所提到的這個第三條第一項第七款的部分事實上在原住民基本法的第19條裡面就有規定了對 我們把它明確化因為根據原住民族基本法第34條的規定是說三年內要修相關的法例所以我們要正式把它納入在這個法例裡面好 謝謝委員知道好 謝謝
transcript.whisperx[16].start 375.831
transcript.whisperx[16].end 377.599
transcript.whisperx[16].text 好 謝謝鄭天才委員 謝謝