| IVOD_ID |
168961 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/168961 |
| 日期 |
2026-04-29 |
| 會議資料.會議代碼 |
委員會-11-5-19-11 |
| 會議資料.會議代碼:str |
第11屆第5會期經濟委員會第11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 |
11 |
| 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11次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-04-29T12:05:42+08:00 |
| 結束時間 |
2026-04-29T12:15:01+08:00 |
| 影片長度 |
00:09:19 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6301273cb2dfee84c6ed7bf8067b37054294381b535652e629ca0dd5c777562e62af07d6823bbab05ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
謝衣鳯 |
| 委員發言時間 |
12:05:42 - 12:15:01 |
| 會議時間 |
2026-04-29T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期經濟委員會第11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農業部及所屬單位預算部分。
二、 審查115年度中央政府總預算案有關第27款直轄市及縣市政府第7項一般性補助款—農業部主管第1目農業部、第2目林業及自然保育署及所屬、第3目農村發展及水土保持署及所屬、第4目漁業署及所屬、第5目動植物防疫檢疫署及所屬、第6目農糧署及所屬、第7目農田水利署部分預算。
三、 審查115年度中央政府總預算案附屬單位預算非營業部分關於農業部主管：農業作業基金、農田水利事業作業基金、農業特別收入基金及農民退休基金。(詢答)
【4月29日及4月30日二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
2.25846875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
10.91534375 |
| transcript.pyannote[1].end |
13.81784375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
14.08784375 |
| transcript.pyannote[2].end |
15.20159375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
21.44534375 |
| transcript.pyannote[3].end |
21.47909375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
21.47909375 |
| transcript.pyannote[4].end |
21.83346875 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
22.28909375 |
| transcript.pyannote[5].end |
22.84596875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
23.77409375 |
| transcript.pyannote[6].end |
25.95096875 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
25.96784375 |
| transcript.pyannote[7].end |
26.01846875 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
26.30534375 |
| transcript.pyannote[8].end |
35.19846875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
34.28721875 |
| transcript.pyannote[9].end |
35.13096875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
35.55284375 |
| transcript.pyannote[10].end |
46.84221875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
45.20534375 |
| transcript.pyannote[11].end |
45.88034375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
46.03221875 |
| transcript.pyannote[12].end |
49.13721875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
47.63534375 |
| transcript.pyannote[13].end |
50.70659375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
50.30159375 |
| transcript.pyannote[14].end |
50.80784375 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
50.99346875 |
| transcript.pyannote[15].end |
68.08784375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
68.84721875 |
| transcript.pyannote[16].end |
72.07034375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
72.35721875 |
| transcript.pyannote[17].end |
74.29784375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
74.44971875 |
| transcript.pyannote[18].end |
75.32721875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
75.88409375 |
| transcript.pyannote[19].end |
83.96721875 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
81.70596875 |
| transcript.pyannote[20].end |
101.24721875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
85.03034375 |
| transcript.pyannote[21].end |
85.95846875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
101.24721875 |
| transcript.pyannote[22].end |
113.61659375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
113.65034375 |
| transcript.pyannote[23].end |
113.66721875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
113.66721875 |
| transcript.pyannote[24].end |
113.70096875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
113.70096875 |
| transcript.pyannote[25].end |
113.78534375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
113.78534375 |
| transcript.pyannote[26].end |
114.03846875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
114.03846875 |
| transcript.pyannote[27].end |
114.66284375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
114.66284375 |
| transcript.pyannote[28].end |
114.86534375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
116.36721875 |
| transcript.pyannote[29].end |
120.63659375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
120.97409375 |
| transcript.pyannote[30].end |
129.76596875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
130.32284375 |
| transcript.pyannote[31].end |
132.19596875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
132.12846875 |
| transcript.pyannote[32].end |
135.60471875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
132.44909375 |
| transcript.pyannote[33].end |
146.79284375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
137.35971875 |
| transcript.pyannote[34].end |
138.45659375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
145.18971875 |
| transcript.pyannote[35].end |
158.70659375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
158.70659375 |
| transcript.pyannote[36].end |
161.77784375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
159.98909375 |
| transcript.pyannote[37].end |
160.51221875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
161.33909375 |
| transcript.pyannote[38].end |
163.07721875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
162.65534375 |
| transcript.pyannote[39].end |
162.87471875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
162.99284375 |
| transcript.pyannote[40].end |
166.82346875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
166.08096875 |
| transcript.pyannote[41].end |
168.76409375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
168.59534375 |
| transcript.pyannote[42].end |
183.44534375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
170.97471875 |
| transcript.pyannote[43].end |
176.69534375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
183.00659375 |
| transcript.pyannote[44].end |
185.58846875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
185.92596875 |
| transcript.pyannote[45].end |
188.27159375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
188.94659375 |
| transcript.pyannote[46].end |
190.02659375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
190.22909375 |
| transcript.pyannote[47].end |
204.89346875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
204.13409375 |
| transcript.pyannote[48].end |
213.97221875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
211.25534375 |
| transcript.pyannote[49].end |
215.52471875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
214.39409375 |
| transcript.pyannote[50].end |
226.66221875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
216.11534375 |
| transcript.pyannote[51].end |
216.43596875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
226.18971875 |
| transcript.pyannote[52].end |
226.67909375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
226.67909375 |
| transcript.pyannote[53].end |
229.49721875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
229.81784375 |
| transcript.pyannote[54].end |
230.29034375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
230.44221875 |
| transcript.pyannote[55].end |
243.58784375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
231.23534375 |
| transcript.pyannote[56].end |
234.08721875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
236.16284375 |
| transcript.pyannote[57].end |
236.83784375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
240.12846875 |
| transcript.pyannote[58].end |
249.02159375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
249.57846875 |
| transcript.pyannote[59].end |
262.80846875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
262.48784375 |
| transcript.pyannote[60].end |
267.60096875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
265.50846875 |
| transcript.pyannote[61].end |
271.09409375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
268.37721875 |
| transcript.pyannote[62].end |
268.68096875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
269.84534375 |
| transcript.pyannote[63].end |
290.82096875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
271.93784375 |
| transcript.pyannote[64].end |
272.51159375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
277.52346875 |
| transcript.pyannote[65].end |
278.08034375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
278.77221875 |
| transcript.pyannote[66].end |
279.21096875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
283.95284375 |
| transcript.pyannote[67].end |
285.13409375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
290.55096875 |
| transcript.pyannote[68].end |
295.34346875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
295.63034375 |
| transcript.pyannote[69].end |
311.10471875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
309.43409375 |
| transcript.pyannote[70].end |
323.55846875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
320.33534375 |
| transcript.pyannote[71].end |
320.89221875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
323.52471875 |
| transcript.pyannote[72].end |
326.39346875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
326.64659375 |
| transcript.pyannote[73].end |
327.60846875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
327.60846875 |
| transcript.pyannote[74].end |
327.67596875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
327.82784375 |
| transcript.pyannote[75].end |
342.84659375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
328.35096875 |
| transcript.pyannote[76].end |
328.94159375 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
335.06721875 |
| transcript.pyannote[77].end |
335.52284375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
339.92721875 |
| transcript.pyannote[78].end |
340.34909375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
342.44159375 |
| transcript.pyannote[79].end |
344.77034375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
344.87159375 |
| transcript.pyannote[80].end |
345.42846875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
345.59721875 |
| transcript.pyannote[81].end |
346.01909375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
345.85034375 |
| transcript.pyannote[82].end |
347.74034375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
347.04846875 |
| transcript.pyannote[83].end |
350.20409375 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
350.54159375 |
| transcript.pyannote[84].end |
351.99284375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
351.40221875 |
| transcript.pyannote[85].end |
352.92096875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
352.56659375 |
| transcript.pyannote[86].end |
364.73346875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
358.16909375 |
| transcript.pyannote[87].end |
358.62471875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
365.40846875 |
| transcript.pyannote[88].end |
368.83409375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
369.32346875 |
| transcript.pyannote[89].end |
370.50471875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
370.52159375 |
| transcript.pyannote[90].end |
372.42846875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
372.54659375 |
| transcript.pyannote[91].end |
384.88221875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
381.28784375 |
| transcript.pyannote[92].end |
381.70971875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
385.23659375 |
| transcript.pyannote[93].end |
386.94096875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
387.27846875 |
| transcript.pyannote[94].end |
392.44221875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
392.96534375 |
| transcript.pyannote[95].end |
400.12034375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
399.19221875 |
| transcript.pyannote[96].end |
432.21659375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
405.70596875 |
| transcript.pyannote[97].end |
406.33034375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
406.90409375 |
| transcript.pyannote[98].end |
407.37659375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
413.43471875 |
| transcript.pyannote[99].end |
414.73409375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
415.69596875 |
| transcript.pyannote[100].end |
416.94471875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
431.25471875 |
| transcript.pyannote[101].end |
431.99721875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
432.38534375 |
| transcript.pyannote[102].end |
444.80534375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
444.94034375 |
| transcript.pyannote[103].end |
451.65659375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
451.82534375 |
| transcript.pyannote[104].end |
459.26721875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
458.52471875 |
| transcript.pyannote[105].end |
470.18534375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
469.17284375 |
| transcript.pyannote[106].end |
480.17534375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
480.07409375 |
| transcript.pyannote[107].end |
510.22971875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
509.99346875 |
| transcript.pyannote[108].end |
516.84471875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
517.26659375 |
| transcript.pyannote[109].end |
519.69659375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
519.84846875 |
| transcript.pyannote[110].end |
520.30409375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
520.25346875 |
| transcript.pyannote[111].end |
532.87596875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
532.89284375 |
| transcript.pyannote[112].end |
533.26409375 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
533.75346875 |
| transcript.pyannote[113].end |
556.53471875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
544.62096875 |
| transcript.pyannote[114].end |
547.20284375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
549.53159375 |
| transcript.pyannote[115].end |
550.02096875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
554.17221875 |
| transcript.pyannote[116].end |
554.74596875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
555.97784375 |
| transcript.pyannote[117].end |
556.19721875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
556.53471875 |
| transcript.pyannote[118].end |
558.05346875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
558.44159375 |
| transcript.pyannote[119].end |
559.97721875 |
| transcript.whisperx[0].start |
0.343 |
| transcript.whisperx[0].end |
1.444 |
| transcript.whisperx[0].text |
謝謝主席我想請農業部陳部長陳部長 |
| transcript.whisperx[1].start |
23.803 |
| transcript.whisperx[1].end |
50.302 |
| transcript.whisperx[1].text |
大家都在講這個花生喔大家只注意到雲林的花生是一萬兩千公頃嘛其實彰化縣也有三千三百公頃的花生耶是啊那所以這一次美國的花生你雖然說進口量不到怎麼樣不到它整個進口量美國的花生不到進口量的1%然後全部都用在加工嘛是不是 |
| transcript.whisperx[2].start |
51.082 |
| transcript.whisperx[2].end |
67.655 |
| transcript.whisperx[2].text |
但是你怎麼知道說未來如果它的價格只有我們本地花生的40%的時候大家會不會極力的進口啊那對於我們國產的花生那會產生什麼樣的影響 |
| transcript.whisperx[3].start |
69.159 |
| transcript.whisperx[3].end |
91.991 |
| transcript.whisperx[3].text |
我想委員的關心或擔心都是從價格的角度去看那如果說從長期的這些我們對於產業的支持的角度我覺得我們的農產品不只是價格應該看它的價值我是說我當然知道你說價值但是一般的民眾還有一般的加工的廠商他們先看 |
| transcript.whisperx[4].start |
92.731 |
| transcript.whisperx[4].end |
114.117 |
| transcript.whisperx[4].text |
是價格嘛那我想要了解的是就價格方面你怎麼樣子保障農民的收入不比以前低不過我想我們會透過去針對產業升級的方式第一個我們會去蓋區域的加工沒有 風乾中心那風乾中心就節省了這些農民的這些風乾的這些成本那以上會要蓋幾個 |
| transcript.whisperx[5].start |
116.571 |
| transcript.whisperx[5].end |
129.348 |
| transcript.whisperx[5].text |
我想彰化的部分大概將近3400公頃左右所以業者我們會跟合作社業者那邊去談他有意願做的話我們都會去設置我們絕對不會忽略到彰化 |
| transcript.whisperx[6].start |
131.431 |
| transcript.whisperx[6].end |
157.983 |
| transcript.whisperx[6].text |
我覺得說這個議題是雲林炒出來的農民現在很擔心嘛農民很擔心說未來本土我們國產的花生怎麼樣子嘛我想怡伶關心的彰化我都願意就是台灣花生裡面其實彰化的風味又跟雲林不一樣所以怎麼樣去凸顯在地的品牌的效益讓消費者認同這個部分我想我一定會大力來協助 |
| transcript.whisperx[7].start |
159.063 |
| transcript.whisperx[7].end |
187.902 |
| transcript.whisperx[7].text |
對啊 花生 彰化的花生很好吃耶 是啊是不是 是啊你應該要重視彰化的花生啊 對不對我從來沒有說我忽略彰化的花生啊對啊 你說獅殼的花生對 你說獅殼的花生 獅甲收購嘛對 獅甲的收購嘛 對然後集團栽培但是民眾會想說會不會集團栽培你讓小農就沒有辦法生存啊不會 集團栽培的過程中用契作的方式去保障它的價格 |
| transcript.whisperx[8].start |
189.003 |
| transcript.whisperx[8].end |
205.516 |
| transcript.whisperx[8].text |
我用這種方式這樣的話才不會說我們直接補貼農民很麻煩但是我用集團栽培的方式由集團經營組去去做集團的收購的這些花生我去做品牌去協助他做品牌的效益你用集團的會不會讓在地的小農他自產自銷的這樣子的一個如果你要自產自銷我們也同樣去輔導 |
| transcript.whisperx[9].start |
215.523 |
| transcript.whisperx[9].end |
217.584 |
| transcript.whisperx[9].text |
我每次去參加那些產銷會我買我們自產自銷的這些花生給朋友吃大家都很喜歡啊大家都吃了覺得好事會發生啊是不是對啊是啊 |
| transcript.whisperx[10].start |
232.01 |
| transcript.whisperx[10].end |
243.376 |
| transcript.whisperx[10].text |
那你這樣子會不會傷害我們在地小農保護小農是農業部最大的責任所以如果農民願意自產自銷我們也會來輔導不是說一定強制是集團栽培 |
| transcript.whisperx[11].start |
249.84 |
| transcript.whisperx[11].end |
270.209 |
| transcript.whisperx[11].text |
所以我們有很多多元的部分後續我想我們到彰化區做說明的時候我想也會邀請委員來一起來看一起來聽提供您的建議我想一定是中央跟地方政府一起合作不是 我在意的是怎麼樣子協助嘛怎麼樣協助我們在地的農民我們再把相關的這些配套的作為再提供給委員做參考 |
| transcript.whisperx[12].start |
271.269 |
| transcript.whisperx[12].end |
291.26 |
| transcript.whisperx[12].text |
要讓他們就是說過去的就是說他們生產的花生以及怎麼樣受到市場的喜愛啊是不是那你加工的部分你怎麼樣協助他們可以加工升級嘛是不是用更好的方式用更好的方式去加工嘛這是農業部需要做的嘛對不對我想農業部 |
| transcript.whisperx[13].start |
292.841 |
| transcript.whisperx[13].end |
321.34 |
| transcript.whisperx[13].text |
針對這個部分已經有一個完整的策略在那邊因為現在R的病還沒有生效但是我們已經實際在做的所以我也不希望在這段時間農民被挑起這種不安的情緒因為我想台灣人容易要自己來一起來努力所以我想我們後續會跟自己來做雖然說這個問題是從雲林開始但是你也必須要了解這種這麼寧靜的地方雲林就在彰化隔壁是不是 |
| transcript.whisperx[14].start |
322.08 |
| transcript.whisperx[14].end |
342.696 |
| transcript.whisperx[14].text |
雲林就在彰化隔壁耶我們絕對不會放棄彰化 您百分之百放心對啊 是不是 應該要讓所有的農民都可以安心嘛讓彰化好的花生 彰化好的雜糧作物都可以有一個能夠自產自銷以及一個品牌升級的管道啊 是不是絕對會這樣做 您放心 |
| transcript.whisperx[15].start |
346.058 |
| transcript.whisperx[15].end |
364.226 |
| transcript.whisperx[15].text |
對你一定保證是不是我保證不會放棄彰化絕對不會陳副長保證是不是對我保證好好好你這樣保證那我想要請問就是在智慧農業的部分你怎麼樣子做到說智慧農業的就是能夠讓那個農民用得起 |
| transcript.whisperx[16].start |
365.455 |
| transcript.whisperx[16].end |
384.432 |
| transcript.whisperx[16].text |
不過我想智慧農業過去本身大家傳統的想法就是我所有的感染源要自己買那現在我們把它推動變成類似集團栽培的角度類似我們家裡以前的防盜系統都要自己買嘛現在不用 現在用保健公司來做所以我們在推動 |
| transcript.whisperx[17].start |
385.413 |
| transcript.whisperx[17].end |
399.289 |
| transcript.whisperx[17].text |
智慧農業的服務業用服務業的角度來協助我們的農民來架設相關的這個資訊所以農民端只要有手機能夠看到他自己的生產數據就可以了不需要去做這樣子的一個維護 |
| transcript.whisperx[18].start |
400.23 |
| transcript.whisperx[18].end |
416.629 |
| transcript.whisperx[18].text |
因為我們知道農業的這個從業的人口已經越來越少了是不是那未來在人力減少的情況下你怎麼樣維持糧食的安全這也是你們農業部最首要的嘛 |
| transcript.whisperx[19].start |
417.19 |
| transcript.whisperx[19].end |
444.103 |
| transcript.whisperx[19].text |
那怎麼樣子維持那個糧食的安全以及要讓這個缺工的問題被解決那智慧農業是一個非常好的導入的一個面向嘛對不對可是除了集團你也必須要共同的讓這些農民知道啊你不能每次都集團啊是不是農民不是永遠都只有加入集團 |
| transcript.whisperx[20].start |
444.983 |
| transcript.whisperx[20].end |
462.669 |
| transcript.whisperx[20].text |
不過我想您剛才講的一些個體物如果願意做的時候我們也願意協助我剛才講的就是農事的服務業像我們本身的農機的Uber也是這個概念然後我們有一些示範場地也可以來協助他們做你不要變成一直補助農機然後你補助農機以後變成他又轉嫁成成本給農民你知道嗎不會我們用農機的Uber的話 |
| transcript.whisperx[21].start |
471.932 |
| transcript.whisperx[21].end |
492.279 |
| transcript.whisperx[21].text |
相對的農民不用買農機然後他在服務的時候因為農業機器本身我們有補助所以他會比平常更低的價格去做服務我必須要告訴你因為很多的農民或者是畜牧業者都跟我反映過去的農機具的補助等於會變相的變成他們的成本嘛 |
| transcript.whisperx[22].start |
492.719 |
| transcript.whisperx[22].end |
519.541 |
| transcript.whisperx[22].text |
那未來在農業政策的這個部分怎麼樣子不讓農機具的補助以及就是耕地轉作的補助變成了農民他們生產上的成本這我認為也是農業部要考量的好不好我覺得委員所提到的是一個非常重要的議題也是我們一直想要處理的特別是我們補助以後我們補助多少變成地數就占多少啦 |
| transcript.whisperx[23].start |
520.701 |
| transcript.whisperx[23].end |
537.987 |
| transcript.whisperx[23].text |
這樣的話我想我們要有一個機制去做一個切斷的方式所以我們會細更精密的去更仔細的去細設計這樣的一個後面的一個協助的措施我認為這個部分請部長跟我們所有農業部的各部會 |
| transcript.whisperx[24].start |
538.567 |
| transcript.whisperx[24].end |
557.8 |
| transcript.whisperx[24].text |
回去就是說好好的來做一個相關的研擬政策的方向好不好好我們研擬完以後再跟委員報告不要讓這些就是說不管是轉作的補助不管是農機的補助最後變成了轉嫁車我們不管是對農變成農民的成本好不好好謝謝委員的提醒好謝謝 |