iVOD / 166417

Field Value
IVOD_ID 166417
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/166417
日期 2025-12-15
會議資料.會議代碼 委員會-11-4-19-16
會議資料.會議代碼:str 第11屆第4會期經濟委員會第16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 16
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16次全體委員會議
影片種類 Clip
開始時間 2025-12-15T11:22:36+08:00
結束時間 2025-12-15T11:30:03+08:00
影片長度 00:07:27
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/d486c5db5da75906ead08e5e2f7569793d053df696e011f8b1905849ce6681764159dd19c61a0ed75ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 11:22:36 - 11:30:03
會議時間 2025-12-15T09:00:00+08:00
會議名稱 立法院第11屆第4會期經濟委員會第16次全體委員會議(事由:邀請農業部部長及環境部首長就「2027年全面禁止廚餘養豬」進行報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.36846875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 0.45284375
transcript.pyannote[1].end 1.38096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 3.15284375
transcript.pyannote[2].end 6.52784375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 7.84409375
transcript.pyannote[3].end 11.57346875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 15.11721875
transcript.pyannote[4].end 15.75846875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 18.22221875
transcript.pyannote[5].end 18.71159375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 19.35284375
transcript.pyannote[6].end 27.30096875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 27.90846875
transcript.pyannote[7].end 32.04284375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 32.44784375
transcript.pyannote[8].end 33.12284375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 33.42659375
transcript.pyannote[9].end 41.76284375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 42.03284375
transcript.pyannote[10].end 43.02846875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 43.34909375
transcript.pyannote[11].end 43.97346875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 44.27721875
transcript.pyannote[12].end 48.76596875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 49.57596875
transcript.pyannote[13].end 54.16596875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 54.60471875
transcript.pyannote[14].end 56.76471875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 57.92909375
transcript.pyannote[15].end 65.91096875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 66.48471875
transcript.pyannote[16].end 72.08721875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 72.55971875
transcript.pyannote[17].end 78.38159375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 78.97221875
transcript.pyannote[18].end 82.43159375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 82.70159375
transcript.pyannote[19].end 84.43971875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 84.70971875
transcript.pyannote[20].end 91.42596875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 92.38784375
transcript.pyannote[21].end 94.63221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 95.08784375
transcript.pyannote[22].end 95.72909375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 96.69096875
transcript.pyannote[23].end 98.85096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 99.40784375
transcript.pyannote[24].end 102.05721875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 102.86721875
transcript.pyannote[25].end 104.90909375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 106.12409375
transcript.pyannote[26].end 116.95784375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 109.04346875
transcript.pyannote[27].end 109.44846875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 110.83221875
transcript.pyannote[28].end 111.25409375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 114.34221875
transcript.pyannote[29].end 118.47659375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 119.28659375
transcript.pyannote[30].end 123.48846875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 123.94409375
transcript.pyannote[31].end 126.72846875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 128.16284375
transcript.pyannote[32].end 128.17971875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 128.17971875
transcript.pyannote[33].end 130.15409375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 130.47471875
transcript.pyannote[34].end 144.02534375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 136.02659375
transcript.pyannote[35].end 136.51596875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 137.61284375
transcript.pyannote[36].end 138.00096875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 140.26221875
transcript.pyannote[37].end 140.68409375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 141.13971875
transcript.pyannote[38].end 142.23659375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 143.23221875
transcript.pyannote[39].end 146.01659375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 144.17721875
transcript.pyannote[40].end 144.19409375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 146.35409375
transcript.pyannote[41].end 148.66596875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 149.03721875
transcript.pyannote[42].end 152.98596875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 153.44159375
transcript.pyannote[43].end 158.67284375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 159.01034375
transcript.pyannote[44].end 168.89909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 170.19846875
transcript.pyannote[45].end 171.97034375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 171.97034375
transcript.pyannote[46].end 177.35346875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 177.35346875
transcript.pyannote[47].end 177.97784375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 177.97784375
transcript.pyannote[48].end 178.02846875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 178.02846875
transcript.pyannote[49].end 178.82159375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 178.82159375
transcript.pyannote[50].end 178.85534375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 178.85534375
transcript.pyannote[51].end 180.25596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 180.25596875
transcript.pyannote[52].end 182.93909375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 182.93909375
transcript.pyannote[53].end 185.97659375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 182.97284375
transcript.pyannote[54].end 183.15846875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 185.97659375
transcript.pyannote[55].end 186.02721875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 186.02721875
transcript.pyannote[56].end 186.97221875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 186.97221875
transcript.pyannote[57].end 187.02284375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 187.02284375
transcript.pyannote[58].end 187.14096875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 187.14096875
transcript.pyannote[59].end 187.17471875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 188.03534375
transcript.pyannote[60].end 190.02659375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 190.02659375
transcript.pyannote[61].end 191.35971875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 191.49471875
transcript.pyannote[62].end 197.09721875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 197.82284375
transcript.pyannote[63].end 204.58971875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 205.07909375
transcript.pyannote[64].end 208.69034375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 209.23034375
transcript.pyannote[65].end 210.81659375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 210.96846875
transcript.pyannote[66].end 212.48721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 213.21284375
transcript.pyannote[67].end 214.32659375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 215.01846875
transcript.pyannote[68].end 217.53284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 217.95471875
transcript.pyannote[69].end 220.63784375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 221.07659375
transcript.pyannote[70].end 223.97909375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 224.28284375
transcript.pyannote[71].end 230.47596875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 230.93159375
transcript.pyannote[72].end 232.61909375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 233.02409375
transcript.pyannote[73].end 234.40784375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 234.62721875
transcript.pyannote[74].end 239.80784375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 240.04409375
transcript.pyannote[75].end 241.74846875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 242.49096875
transcript.pyannote[76].end 243.62159375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 244.11096875
transcript.pyannote[77].end 245.78159375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 246.82784375
transcript.pyannote[78].end 254.77596875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 253.54409375
transcript.pyannote[79].end 254.96159375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 254.96159375
transcript.pyannote[80].end 255.02909375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 255.02909375
transcript.pyannote[81].end 255.46784375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 255.46784375
transcript.pyannote[82].end 255.48471875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 255.48471875
transcript.pyannote[83].end 255.50159375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 255.50159375
transcript.pyannote[84].end 255.87284375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 255.87284375
transcript.pyannote[85].end 255.92346875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 255.92346875
transcript.pyannote[86].end 256.80096875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 255.95721875
transcript.pyannote[87].end 258.77534375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 258.31971875
transcript.pyannote[88].end 259.33221875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 258.94409375
transcript.pyannote[89].end 259.09596875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 260.63159375
transcript.pyannote[90].end 274.06409375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 263.95596875
transcript.pyannote[91].end 264.25971875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 274.41846875
transcript.pyannote[92].end 279.27846875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 278.85659375
transcript.pyannote[93].end 280.89846875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 281.23596875
transcript.pyannote[94].end 283.66596875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 283.91909375
transcript.pyannote[95].end 286.50096875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 286.83846875
transcript.pyannote[96].end 287.34471875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 287.81721875
transcript.pyannote[97].end 289.04909375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 289.58909375
transcript.pyannote[98].end 290.80409375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 291.22596875
transcript.pyannote[99].end 293.99346875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 294.24659375
transcript.pyannote[100].end 297.67221875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 297.90846875
transcript.pyannote[101].end 301.95846875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 302.17784375
transcript.pyannote[102].end 305.50221875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 306.07596875
transcript.pyannote[103].end 310.19346875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 310.48034375
transcript.pyannote[104].end 311.84721875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 314.68221875
transcript.pyannote[105].end 315.71159375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 316.31909375
transcript.pyannote[106].end 320.63909375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 321.16221875
transcript.pyannote[107].end 331.97909375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 332.14784375
transcript.pyannote[108].end 334.94909375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 335.35409375
transcript.pyannote[109].end 347.14971875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 347.55471875
transcript.pyannote[110].end 353.68034375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 353.84909375
transcript.pyannote[111].end 356.05971875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 356.86971875
transcript.pyannote[112].end 359.62034375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 360.34596875
transcript.pyannote[113].end 361.83096875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 362.21909375
transcript.pyannote[114].end 363.51846875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 363.82221875
transcript.pyannote[115].end 365.59409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 366.53909375
transcript.pyannote[116].end 367.34909375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 368.47971875
transcript.pyannote[117].end 369.66096875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 372.15846875
transcript.pyannote[118].end 378.13221875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 380.61284375
transcript.pyannote[119].end 380.96721875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 380.96721875
transcript.pyannote[120].end 381.47346875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 381.97971875
transcript.pyannote[121].end 393.50534375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 393.50534375
transcript.pyannote[122].end 393.53909375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 394.36596875
transcript.pyannote[123].end 394.39971875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 394.39971875
transcript.pyannote[124].end 400.40721875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 399.63096875
transcript.pyannote[125].end 410.02596875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 405.87471875
transcript.pyannote[126].end 406.00971875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 407.56221875
transcript.pyannote[127].end 409.75596875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 410.02596875
transcript.pyannote[128].end 410.63346875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 410.63346875
transcript.pyannote[129].end 410.71784375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 410.71784375
transcript.pyannote[130].end 410.85284375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 410.85284375
transcript.pyannote[131].end 410.92034375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 410.92034375
transcript.pyannote[132].end 416.77596875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 417.18096875
transcript.pyannote[133].end 420.26909375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 420.65721875
transcript.pyannote[134].end 426.37784375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 426.64784375
transcript.pyannote[135].end 427.98096875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 428.53784375
transcript.pyannote[136].end 430.96784375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 431.45721875
transcript.pyannote[137].end 432.36846875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 433.00971875
transcript.pyannote[138].end 435.10221875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 435.32159375
transcript.pyannote[139].end 438.84846875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 439.28721875
transcript.pyannote[140].end 441.59909375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 442.17284375
transcript.pyannote[141].end 443.06721875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 444.31596875
transcript.pyannote[142].end 444.78846875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 445.71659375
transcript.pyannote[143].end 446.84721875
transcript.whisperx[0].start 0.609
transcript.whisperx[0].end 4.75
transcript.whisperx[0].text 兩位好時間的關係直接切入主題針對有關於禁用廚餘養豬這樣子的一個政策
transcript.whisperx[1].start 27.967
transcript.whisperx[1].end 56.66
transcript.whisperx[1].text 那為了所有的民眾食的安全那以及我國豬肉那相關的競爭力那以及防止非洲豬瘟等等的政治考慮大的方向上我們是認同的只是說在政策突然變更的情況之下有一些過度時間的衝擊那那個衝擊所影響到的可能不僅僅是養豬戶他那個衝擊是全面性的
transcript.whisperx[2].start 57.967
transcript.whisperx[2].end 81.98
transcript.whisperx[2].text 那當然第一個他會處理到的就是廚餘處理的成本那這個廚餘處理的成本之前部長有公開說過說這個轉型成本要往上拉就是不得不的轉型工作那可能包括相關的飲食業者價格是不是會因此而提升等等那目前針對有關於禁止廚餘養豬那這個廚餘處理成本
transcript.whisperx[3].start 84.801
transcript.whisperx[3].end 104.149
transcript.whisperx[3].text 那藉由飲食業轉嫁到消費者身上你們農業部也好環境部也好有做過評估嗎大概轉嫁的成本會有多少還是呃像彭部長所說的每個公斤5到8元全部都轉嫁嗎跟委員報告主要就是呃
transcript.whisperx[4].start 106.175
transcript.whisperx[4].end 126.233
transcript.whisperx[4].text 如果不再處理養豬的話就是會用再運用方式去解決這個問題或者是送魂化乳處理那當然要把清運跟處理的成本要把它算進來是是是這個我都講過了但我的意思是說你們有做過影響的衝擊評估嗎就對於我們目前一般的消費者
transcript.whisperx[5].start 128.428
transcript.whisperx[5].end 152.203
transcript.whisperx[5].text 本來廚餘就是一個垃圾的一部分過去可以廚餘養豬那因為現在基於風險管理已經要斷掉所以它有一個落日嘛落日的時間就是要趕快把那個再利用量上來那個次長你先聽我講話好不好就是你講過的話不用一直複述你一直複述你講過的話沒有意義啊我的問題很具體啊
transcript.whisperx[6].start 154.345
transcript.whisperx[6].end 168.132
transcript.whisperx[6].text 針對 即使廚餘養豬了以後 廚餘要處理本來不是垃圾 現在變垃圾嘛變成某一種的廢棄物 那處理廢棄物當然有成本嘛它轉嫁到消費者的衝擊影響 你們評估好了嗎有就有 沒有就沒有 這是一個很簡單的問題
transcript.whisperx[7].start 170.236
transcript.whisperx[7].end 196.874
transcript.whisperx[7].text 有做過衝擊影響評估嗎就是以目前現行的市場上面處理在利用的費用是多少我們就估過那現在市場上面處理在利用的費用是多少輕運家處理估計就是5塊到8塊每公斤是5塊到8塊你們有去市場實際調查過嗎從各縣市環保局這邊所報回來的這樣的一個數據我現在齁 今天我其實會關心這個事情啊你看一下照片啊 應該知道
transcript.whisperx[8].start 197.867
transcript.whisperx[8].end 211.559
transcript.whisperx[8].text 因為大概在雙北這邊最大的團散的業者他其實處理的是我們國中小學的營養午餐這個會實際的衝擊到我們現在小學生他們每天營養午餐不僅僅是價格的問題
transcript.whisperx[9].start 213.277
transcript.whisperx[9].end 239.402
transcript.whisperx[9].text 更是品質的問題那為什麼會涉及到品質的問題啊因為本來的這些廚餘都有養豬戶去收嘛那現在沒有養豬戶去收他們自己就要清運嘛那清運涉及到兩個問題第一個他如果是乙級廢棄物的話就要找乙級廢棄物合格的廠商來運嘛那突然在市場上面找不到這麼多廠商你知不知道說他們有的業者是用運營養午餐的餐車去運廚餘到焚化爐去
transcript.whisperx[10].start 242.54
transcript.whisperx[10].end 258.353
transcript.whisperx[10].text 你知道這個現象嗎這在法規上是容許的嗎如果從非清華來看事業是可以來運送這樣的到環保局指定的地點所以直接用菜車去運沒有問題嗎因為現在業者需要一個清楚的答案
transcript.whisperx[11].start 260.683
transcript.whisperx[11].end 288.847
transcript.whisperx[11].text 除了這個廢棄物沒有問題之外另外一個就是食安法食安法也有規定就是你不要把廢棄物跟運食物同時運送所以基本上如果是他運完了之後以這個陳明信理事長他的場來講他送完之後他六日的部分沒有去公餐他的車輛是可以做這樣的事情OK好那第二個問題齁我們去關心完了以後因為焚化爐我們所得到的呈刑啊是下午有時候請車子去
transcript.whisperx[12].start 289.642
transcript.whisperx[12].end 311.651
transcript.whisperx[12].text 在那邊大排長龍要排兩三個小時還不一定排得到所以我們請黨團發文請教你們各個縣市目前在處理廚餘廢棄物的焚化爐各個縣市他目前的量能跟他的分布那上禮拜五請你們回文剛剛我查了到現在都還沒有回文回來還需要多久
transcript.whisperx[13].start 314.704
transcript.whisperx[13].end 334.71
transcript.whisperx[13].text 我早就發文了上禮拜五請你們回文結果到現在都沒有回覆因為我覺得現在我們在關心反映業者的心聲那業者並不是代表他自己而已他背後還有很多小學生那我們發文給你們請你們上禮拜五下班以前把各縣市的量能讓我們知道嘛
transcript.whisperx[14].start 335.47
transcript.whisperx[14].end 355.441
transcript.whisperx[14].text 因為我總要去評估業者他們的反應到底有道理沒有道理啊那如果量能不足的話現在接下來要他們怎麼辦你總不可能雙手一攤說量能不足這是你們家的事情那環境部可能說地方政府應該有足夠的量能地方政府有沒有足夠的量能是用嘴巴講的嗎請你們提供一些基本的資訊
transcript.whisperx[15].start 357.049
transcript.whisperx[15].end 376.994
transcript.whisperx[15].text 現在是覺得在國會裡面對你們的監督反正行政部門不守法不執法大家也拿你們沒皮條嘛是這樣嗎是這種態度嗎上禮拜五下班以前請教你們的問題今天下班以前送來有沒有問題有沒有困難
transcript.whisperx[16].start 381.003
transcript.whisperx[16].end 393.132
transcript.whisperx[16].text 來請市長跟委員報告一下如果是有限一個時間要我們提供資料還沒有送達我在這邊跟您致歉我回去馬上請他們瞭解一下因為我沒有掌握到這個訊息請今天下班以前送來
transcript.whisperx[17].start 394.417
transcript.whisperx[17].end 419.059
transcript.whisperx[17].text 要不然的話我跟你沒有辦法進行有意義的討論啊現在廚餘業者到底有幾家每天處理的量能是多少我跟委員報告同仁回報是說我們還沒有收到委員要資料的不可能這是我們黨團發的是我們了解一下好不好好今天下班以前把資料送來是我們收到我們盡快處理然後我最後只講一件事麻煩環境部去真的了解第一線地方政府目前處理的量能因為我聽到如果要去排隊處理這個廚餘
transcript.whisperx[18].start 420.74
transcript.whisperx[18].end 446.242
transcript.whisperx[18].text 都要花三四小時大排長龍的話 那個現場的狀況環境部或許應該派官員去現場看一看去問一問在排隊的那些業者他們的心聲否則政策一改變一轉彎雖然是好的方向 中間過渡時期的配套要做好嘛否則造成的衝擊影響真的太大市長可以嗎可以嗎可以好 謝謝