| IVOD_ID |
168309 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/168309 |
| 日期 |
2026-04-08 |
| 會議資料.會議代碼 |
委員會-11-5-26-5 |
| 會議資料.會議代碼:str |
第11屆第5會期社會福利及衛生環境委員會第5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 |
5 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
26 |
| 會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
| 會議資料.標題 |
第11屆第5會期社會福利及衛生環境委員會第5次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-04-08T14:11:30+08:00 |
| 結束時間 |
2026-04-08T14:23:43+08:00 |
| 影片長度 |
00:12:13 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/70d8fc05dcd8abb0a399f7332832764901ae777e4c72867ed1421db6877a69e87ddab3ead9da41ef5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
楊曜 |
| 委員發言時間 |
14:11:30 - 14:23:43 |
| 會議時間 |
2026-04-08T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期社會福利及衛生環境委員會第5次全體委員會議（事由：邀請環境部部長、經濟部、衛生福利部、農業部就「穩定供給與減塑並進：因應國際原物料波動之原物料穩定供應及我國減塑治理進程」進行專題報告，並備質詢。
討論事項
一、審查「廢棄物清理法條文修正草案」9案：
（一）委員馬文君等17人擬具「廢棄物清理法第五條條文修正草案」案。
（二）委員顏寬恒等19人擬具「廢棄物清理法第四十六條條文修正草案」案。
（三）委員顏寬恒等17人擬具「廢棄物清理法第五條條文修正草案」案。
（四）委員林淑芬等22人擬具「廢棄物清理法第七十一條條文修正草案」案。
（五）委員張宏陸等17人擬具「廢棄物清理法第四十六條條文修正草案」案。
（六）委員邱議瑩等21人擬具「廢棄物清理法部分條文修正草案」案。
（七）委員許智傑等29人擬具「廢棄物清理法第四十六條條文修正草案」案。
（八）委員劉建國等19人擬具「廢棄物清理法部分條文修正草案」案。
（九）委員陳冠廷等20人擬具「廢棄物清理法第五十條條文修正草案」案。
二、審查「資源回收再利用法修正草案」2案：
（一）委員許智傑等28人擬具「資源回收再利用法修正草案」案。
（二）委員盧縣一等16人擬具「資源回收再利用法修正草案」案。
【專題報告及法律案綜合詢答，法律案僅詢答】
【4月8日及9日二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
4.84034375 |
| transcript.pyannote[0].end |
5.36346875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
5.97096875 |
| transcript.pyannote[1].end |
7.96221875 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
8.28284375 |
| transcript.pyannote[2].end |
9.32909375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
11.97846875 |
| transcript.pyannote[3].end |
13.56471875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
14.61096875 |
| transcript.pyannote[4].end |
16.04534375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
16.31534375 |
| transcript.pyannote[5].end |
28.71846875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
30.99659375 |
| transcript.pyannote[6].end |
32.49846875 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
33.02159375 |
| transcript.pyannote[7].end |
35.04659375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
36.17721875 |
| transcript.pyannote[8].end |
37.57784375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
37.99971875 |
| transcript.pyannote[9].end |
42.82596875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
43.43346875 |
| transcript.pyannote[10].end |
49.12034375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
49.44096875 |
| transcript.pyannote[11].end |
55.97159375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
56.15721875 |
| transcript.pyannote[12].end |
58.03034375 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
58.31721875 |
| transcript.pyannote[13].end |
60.71346875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
61.16909375 |
| transcript.pyannote[14].end |
65.96159375 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
66.48471875 |
| transcript.pyannote[15].end |
66.78846875 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
67.58159375 |
| transcript.pyannote[16].end |
68.05409375 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
69.20159375 |
| transcript.pyannote[17].end |
72.42471875 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
72.71159375 |
| transcript.pyannote[18].end |
89.97471875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
90.70034375 |
| transcript.pyannote[19].end |
97.11284375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
97.77096875 |
| transcript.pyannote[20].end |
110.95034375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
111.42284375 |
| transcript.pyannote[21].end |
112.85721875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
113.29596875 |
| transcript.pyannote[22].end |
117.78471875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
118.44284375 |
| transcript.pyannote[23].end |
119.26971875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
119.72534375 |
| transcript.pyannote[24].end |
121.44659375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
121.91909375 |
| transcript.pyannote[25].end |
125.73284375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
126.03659375 |
| transcript.pyannote[26].end |
132.19596875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
132.49971875 |
| transcript.pyannote[27].end |
138.32159375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
138.47346875 |
| transcript.pyannote[28].end |
171.78471875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
166.87409375 |
| transcript.pyannote[29].end |
167.34659375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
168.73034375 |
| transcript.pyannote[30].end |
168.81471875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
171.78471875 |
| transcript.pyannote[31].end |
173.82659375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
173.82659375 |
| transcript.pyannote[32].end |
173.94471875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
173.94471875 |
| transcript.pyannote[33].end |
173.97846875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
173.97846875 |
| transcript.pyannote[34].end |
222.17346875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
222.59534375 |
| transcript.pyannote[35].end |
226.96596875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
226.96596875 |
| transcript.pyannote[36].end |
227.06721875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
227.06721875 |
| transcript.pyannote[37].end |
227.42159375 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
227.42159375 |
| transcript.pyannote[38].end |
247.84034375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
238.66034375 |
| transcript.pyannote[39].end |
238.96409375 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
248.29596875 |
| transcript.pyannote[40].end |
250.67534375 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
251.68784375 |
| transcript.pyannote[41].end |
258.89346875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
259.75409375 |
| transcript.pyannote[42].end |
269.45721875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
270.68909375 |
| transcript.pyannote[43].end |
275.46471875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
275.51534375 |
| transcript.pyannote[44].end |
275.53221875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
275.53221875 |
| transcript.pyannote[45].end |
277.18596875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
276.81471875 |
| transcript.pyannote[46].end |
291.34409375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
277.35471875 |
| transcript.pyannote[47].end |
277.77659375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
280.40909375 |
| transcript.pyannote[48].end |
280.93221875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
292.40721875 |
| transcript.pyannote[49].end |
325.29659375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
324.82409375 |
| transcript.pyannote[50].end |
325.98846875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
325.43159375 |
| transcript.pyannote[51].end |
327.27096875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
327.86159375 |
| transcript.pyannote[52].end |
331.67534375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
332.23221875 |
| transcript.pyannote[53].end |
336.26534375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
336.48471875 |
| transcript.pyannote[54].end |
348.12846875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
347.50409375 |
| transcript.pyannote[55].end |
347.77409375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
348.12846875 |
| transcript.pyannote[56].end |
364.76721875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
364.85159375 |
| transcript.pyannote[57].end |
368.42909375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
368.68221875 |
| transcript.pyannote[58].end |
410.17784375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
371.11221875 |
| transcript.pyannote[59].end |
371.38221875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
408.47346875 |
| transcript.pyannote[60].end |
408.81096875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
409.92471875 |
| transcript.pyannote[61].end |
444.01221875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
427.32284375 |
| transcript.pyannote[62].end |
428.04846875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
441.51471875 |
| transcript.pyannote[63].end |
441.90284375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
444.01221875 |
| transcript.pyannote[64].end |
466.67534375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
461.03909375 |
| transcript.pyannote[65].end |
461.19096875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
461.30909375 |
| transcript.pyannote[66].end |
461.73096875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
462.18659375 |
| transcript.pyannote[67].end |
464.12721875 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
465.56159375 |
| transcript.pyannote[68].end |
468.93659375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
469.84784375 |
| transcript.pyannote[69].end |
475.26471875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
471.26534375 |
| transcript.pyannote[70].end |
471.65346875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
475.77096875 |
| transcript.pyannote[71].end |
482.35221875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
483.04409375 |
| transcript.pyannote[72].end |
485.54159375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
486.33471875 |
| transcript.pyannote[73].end |
487.75221875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
488.42721875 |
| transcript.pyannote[74].end |
489.76034375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
490.14846875 |
| transcript.pyannote[75].end |
497.50596875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
495.71721875 |
| transcript.pyannote[76].end |
495.76784375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
497.77596875 |
| transcript.pyannote[77].end |
498.60284375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
499.80096875 |
| transcript.pyannote[78].end |
500.86409375 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
501.43784375 |
| transcript.pyannote[79].end |
501.79221875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
502.90596875 |
| transcript.pyannote[80].end |
503.26034375 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
504.76221875 |
| transcript.pyannote[81].end |
509.63909375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
509.84159375 |
| transcript.pyannote[82].end |
510.48284375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
510.97221875 |
| transcript.pyannote[83].end |
513.06471875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
513.41909375 |
| transcript.pyannote[84].end |
514.31346875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
514.73534375 |
| transcript.pyannote[85].end |
516.38909375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
517.04721875 |
| transcript.pyannote[86].end |
517.62096875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
518.27909375 |
| transcript.pyannote[87].end |
522.78471875 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
523.61159375 |
| transcript.pyannote[88].end |
529.60221875 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
529.82159375 |
| transcript.pyannote[89].end |
532.99409375 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
533.61846875 |
| transcript.pyannote[90].end |
535.03596875 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
535.60971875 |
| transcript.pyannote[91].end |
540.21659375 |
| transcript.pyannote[92].speaker |
SPEAKER_02 |
| transcript.pyannote[92].start |
540.84096875 |
| transcript.pyannote[92].end |
546.34221875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
546.34221875 |
| transcript.pyannote[93].end |
560.23034375 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
561.15846875 |
| transcript.pyannote[94].end |
600.34221875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
600.83159375 |
| transcript.pyannote[95].end |
601.94534375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
602.45159375 |
| transcript.pyannote[96].end |
611.88471875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
612.99846875 |
| transcript.pyannote[97].end |
643.93034375 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
644.63909375 |
| transcript.pyannote[98].end |
650.22471875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
651.06846875 |
| transcript.pyannote[99].end |
651.55784375 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
652.45221875 |
| transcript.pyannote[100].end |
661.22721875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
661.86846875 |
| transcript.pyannote[101].end |
662.54346875 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
663.96096875 |
| transcript.pyannote[102].end |
679.60409375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
680.29596875 |
| transcript.pyannote[103].end |
680.73471875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
681.27471875 |
| transcript.pyannote[104].end |
687.61971875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
687.61971875 |
| transcript.pyannote[105].end |
696.96846875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
692.47971875 |
| transcript.pyannote[106].end |
692.53034375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
692.71596875 |
| transcript.pyannote[107].end |
693.12096875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
694.18409375 |
| transcript.pyannote[108].end |
695.24721875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
696.96846875 |
| transcript.pyannote[109].end |
716.34096875 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
717.57284375 |
| transcript.pyannote[110].end |
730.22909375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
730.29659375 |
| transcript.pyannote[111].end |
731.07284375 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
731.07284375 |
| transcript.pyannote[112].end |
731.15721875 |
| transcript.pyannote[113].speaker |
SPEAKER_02 |
| transcript.pyannote[113].start |
731.07284375 |
| transcript.pyannote[113].end |
732.96284375 |
| transcript.whisperx[0].start |
6.367 |
| transcript.whisperx[0].end |
9.288 |
| transcript.whisperx[0].text |
謝謝主席 主席請一下彭部長有請彭部長部長好部長去年有一個國際知名的醫學期刊大概有發表一個報告內容裡面有講到塑膠原料產量從1950年到 |
| transcript.whisperx[1].start |
31.041 |
| transcript.whisperx[1].end |
57.058 |
| transcript.whisperx[1].text |
到目前為止暴增了200多倍從每年不到200萬噸已經到了將近5億噸而且在預估可能在2060年會突破10億去年我們環境部有宣布減速政策的新指標大概就是以2024年為基準目標是在2035年 |
| transcript.whisperx[2].start |
61.261 |
| transcript.whisperx[2].end |
89.374 |
| transcript.whisperx[2].text |
一次性的將石化塑膠產品減量10%並且就是跳脫單一現今用的手段結合了許多政策面經濟面還有教育面的各種方式希望能夠達到減速的目標那我 |
| transcript.whisperx[3].start |
90.762 |
| transcript.whisperx[3].end |
114.077 |
| transcript.whisperx[3].text |
我大概先跟部長探討一個問題就是說以往我們在傳統市場夜市或者是微型的餐飲業在推動減速政策的時候最容易遇到阻力部分的原因是因為消費習慣和商業太陽所導致的因為這些消費型態類別 |
| transcript.whisperx[4].start |
119.773 |
| transcript.whisperx[4].end |
138.035 |
| transcript.whisperx[4].text |
它假如說要跟一般的商店做相同的東西可能會直接衝擊到基層攤商的生存對這個環境部有沒有看法或者因應的對策 |
| transcript.whisperx[5].start |
139.337 |
| transcript.whisperx[5].end |
165.795 |
| transcript.whisperx[5].text |
對 謝謝委員因為其實我們那時候推的檢說2018年推然後到了我上任的時候有一個工作就是去委員說的基層的同仁然後我發現其實要推動那塊是最困難的因為那一段其實是代表基層然後它是微型經濟所以你要去推限制反而造成它這個經營形態的很不方便所以我們一直想也可能造成它收入 |
| transcript.whisperx[6].start |
166.255 |
| transcript.whisperx[6].end |
190.462 |
| transcript.whisperx[6].text |
收入的減少因為造成客人的這個因為他的東西就是要快不方便性嘛所以來消費的人就少嘛這個是很大的問題所以我後來我們就蹲點了包含好幾個市場還有一個花市所以我後來我就直接先選建國花市因為我覺得那個我總要找一個全台灣塑膠用很多的我可以改造它成功我才有辦法做別的 |
| transcript.whisperx[7].start |
190.842 |
| transcript.whisperx[7].end |
214.742 |
| transcript.whisperx[7].text |
不然的話每一個都是示範場域所以我們覺得建國化是後來我們曾經到達10%的人不拿那個大型的塑膠袋來裝花了所以我們就有這個底氣去做所以現在為什麼說我們推袋袋相傳就是說希望大家用二手袋去用而且我們也提供二手袋讓大家用那目前而且有那個幼幼卡提供幼嬰你直接帶一個環保袋甚至用飲料杯也可以換五塊錢 |
| transcript.whisperx[8].start |
215.743 |
| transcript.whisperx[8].end |
227.689 |
| transcript.whisperx[8].text |
所以這個月薪大滾動起來就容易有機會會成功啦那至於說要不要直接限那個夜市攤商市場基本上這個要很小心要很小心而且部長剛剛講的是你選擇了花式來做 |
| transcript.whisperx[9].start |
235.853 |
| transcript.whisperx[9].end |
254.758 |
| transcript.whisperx[9].text |
最初的啟動點 這個可能是對的因為花式就是大家用二次使用的塑膠袋會比較願意可是其他的夜市那個就會更難不過總是要先 |
| transcript.whisperx[10].start |
259.855 |
| transcript.whisperx[10].end |
265.809 |
| transcript.whisperx[10].text |
先有起點啦起點開始推動以後才會有後續的那希望剛剛部長講的 |
| transcript.whisperx[11].start |
271.142 |
| transcript.whisperx[11].end |
291.153 |
| transcript.whisperx[11].text |
的數據是大概有10%的人願意用那其實也不算很高啦我知道很難可是10%也不算很高啦因為我剛剛講的嘛花市已經算是相對好推動的人 |
| transcript.whisperx[12].start |
292.472 |
| transcript.whisperx[12].end |
312.646 |
| transcript.whisperx[12].text |
比起一般的夜市的其他消費型態算是比較好推的我不是否定你們辛苦的成果我只是在講說這個應該要再想想看有沒有其他的方法可以讓他再進速一點好不好 |
| transcript.whisperx[13].start |
313.226 |
| transcript.whisperx[13].end |
331.409 |
| transcript.whisperx[13].text |
那因為我們檢縮政策很多譬如說像你在建國化室那種你可能也有一些短期的政策獎勵有沒有有有好那短期的政策獎勵總會有退場的時候 |
| transcript.whisperx[14].start |
332.31 |
| transcript.whisperx[14].end |
347.948 |
| transcript.whisperx[14].text |
那更長遠的機制部裡面這邊有沒有相關的想法我沒有說要你講出既定的政策因為應該沒有既定的政策有沒有一些想法 |
| transcript.whisperx[15].start |
348.348 |
| transcript.whisperx[15].end |
362.147 |
| transcript.whisperx[15].text |
報告委員,因為我自己有特別去觀察東方日本、韓國、香港、新加坡跟台灣這個華人的、東方人的習慣目前這些對於市場、零售攤販等等 |
| transcript.whisperx[16].start |
365.071 |
| transcript.whisperx[16].end |
391.139 |
| transcript.whisperx[16].text |
的確是這一里路也沒有一個國家限所以基本上我們有觀察到這個現象但是如果說有一點教育上能夠改變這個可能是現階段我們可以做的我認為其實如果我們把最後一里路這個讓大家的不方便我們可能會影響到這種微型企業或是比較辛苦的朋友這個我是覺得於心不忍所以我們會用另外一種方法用獎勵鼓勵的方式 |
| transcript.whisperx[17].start |
391.599 |
| transcript.whisperx[17].end |
407.046 |
| transcript.whisperx[17].text |
所以這次建國花市裡面包含了你帶一個環保袋去買一個花少一個QR code馬上就給你折五塊錢一次五塊錢一次五塊錢所以那個誘因就很大所以那個基本上我是覺得用這樣的方式讓大家習慣了可能花個一年時間來改變是有效 |
| transcript.whisperx[18].start |
408.447 |
| transcript.whisperx[18].end |
437.119 |
| transcript.whisperx[18].text |
所以我是希望快速複製剛剛部長講的沒錯啦就是說我們假如說特別是在夜市很多是食品類的嘛要現用確實很可能就把夜市微型經濟全部都瘫痪掉啦所以教育推廣跟國人的就是我們把不方便性看嘗試著透過教育 |
| transcript.whisperx[19].start |
438.479 |
| transcript.whisperx[19].end |
466.125 |
| transcript.whisperx[19].text |
轉嫁給消費者就是自己帶不過這個更是困難不過因為我們也謝謝食藥署我們前兩個禮拜有跟他們辦一個記者會因為攤商用了很多塑膠袋裝麵熱熱的其實那個塑膠袋都要有一定的規定所以我們要鼓勵大家例如說可不可以用美奈米的不過這個是另外一個問題就是要大幅度的翻轉讓大家知道 |
| transcript.whisperx[20].start |
467.226 |
| transcript.whisperx[20].end |
487.224 |
| transcript.whisperx[20].text |
還是一條很艱辛的路啦不過還是勢必要走啦我接下來問就是我剛剛講餐食的部分其實是最困難的我們現在假如說是 |
| transcript.whisperx[21].start |
488.496 |
| transcript.whisperx[21].end |
500.601 |
| transcript.whisperx[21].text |
譬如說紙餐盒咖啡杯這個都是可回收的盒必須要跟一般的紙類分開它大概就是廢紙容器類我 |
| transcript.whisperx[22].start |
504.79 |
| transcript.whisperx[22].end |
532.9 |
| transcript.whisperx[22].text |
我這邊的數據是台灣每一年消耗超過80億個紙餐盒跟紙杯那目前我們的有關紙容器再生的去化處理能量足不足是 各位報告現在那個紙容器是有幾家廠像那個振隆他會在他的大園廠有個專門一個產線是回收紙容器去再生的 |
| transcript.whisperx[23].start |
533.926 |
| transcript.whisperx[23].end |
554.864 |
| transcript.whisperx[23].text |
我說那他有沒有辦法處理這81個目前量能是足夠的,那當然有些我們子容器是沒有被回收回來也有啦因為這樣子啦,因為大家對啦,有一部分沒有回收為什麼呢?因為我這邊的數據是其實最終有超過7成並沒有進入循環體系中 |
| transcript.whisperx[24].start |
561.266 |
| transcript.whisperx[24].end |
580.804 |
| transcript.whisperx[24].text |
那沒有進入行政體系就是往焚化爐去了就是我只是把問題點出來啦因為我覺得在委員會太為難你們也於心不忍啦因為有很多事情的推動確實也不是 |
| transcript.whisperx[25].start |
581.545 |
| transcript.whisperx[25].end |
598.95 |
| transcript.whisperx[25].text |
也不是一下子就可以見到成效可是立法委員站在民意的立場還是必須要求你們去做一些事就是說我們盡可能剛剛講的假如說連假如說是一般的民眾觀念的問題 |
| transcript.whisperx[26].start |
600.911 |
| transcript.whisperx[26].end |
610.415 |
| transcript.whisperx[26].text |
沒有做好分類那是教育推廣公部門比較沒有問題啦不過比較沒有責任啦不過假如說我們現在是連 |
| transcript.whisperx[27].start |
613.055 |
| transcript.whisperx[27].end |
641.208 |
| transcript.whisperx[27].text |
紙餐盒跟紙杯的再生去化處理的量能都不足這個可能要想辦法看是要輔導廠商還是要跟地方縣市政府做討論這個量能必須要足才有辦法應付嘛要不然我們現在說有七成都說到了焚化爐 |
| transcript.whisperx[28].start |
642.429 |
| transcript.whisperx[28].end |
662.359 |
| transcript.whisperx[28].text |
那這個明顯是錯的那我們直接說是民眾的觀念有問題環保觀念不夠落實所以才沒有做好分類萬一他做好分類了我們的量不足那這個問題也很大是不是這樣子 |
| transcript.whisperx[29].start |
665.5 |
| transcript.whisperx[29].end |
679.458 |
| transcript.whisperx[29].text |
基本上像這些後端的那個紫容器的處理廠應該是夠的那他的關鍵在說那個回收成本高而且他有時候會有一些那個灘灘水水有些食物在上面所以回收的這個過程是比較我們需要要來努力的 |
| transcript.whisperx[30].start |
680.319 |
| transcript.whisperx[30].end |
704.859 |
| transcript.whisperx[30].text |
好啊 好不好 很多事情很困難啦不困難的事情輪不到你們做啦不過外委員 那個像立法院喔 便當你看只有我們環境部會弄鐵便當對 其他全部都是紙的所以要做就大家一起來做這個我有注意到這個確實 我剛剛也講了啦我想在座所有的人也都知道 |
| transcript.whisperx[31].start |
706.5 |
| transcript.whisperx[31].end |
721.884 |
| transcript.whisperx[31].text |
食品類的確實是最困難因為你們的鐵餐和便當可能花費的錢會比一般的高多一點點就請召委鼓勵來委會開會的部會多多使用謝謝部長 謝謝主席謝謝委員謝謝楊耀文委員發言 |