| IVOD_ID |
167614 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/167614 |
| 日期 |
2026-03-18 |
| 會議資料.會議代碼 |
委員會-11-5-19-3 |
| 會議資料.會議代碼:str |
第11屆第5會期經濟委員會第3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 |
3 |
| 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3次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-03-18T11:19:35+08:00 |
| 結束時間 |
2026-03-18T11:26:22+08:00 |
| 影片長度 |
00:06:47 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4e26a61b53ad6053e4bb86c51b64ce5ff85a32efe0b6ef7a4d1c9dfa77de20989b283f5c5a56e13d5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
郭國文 |
| 委員發言時間 |
11:19:35 - 11:26:22 |
| 會議時間 |
2026-03-18T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期經濟委員會第3次全體委員會議(事由:邀請農業部部長列席報告業務概況,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.28409375 |
| transcript.pyannote[0].end |
2.30909375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
6.20721875 |
| transcript.pyannote[1].end |
7.40534375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
7.69221875 |
| transcript.pyannote[2].end |
7.79346875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
7.79346875 |
| transcript.pyannote[3].end |
8.04659375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
8.50221875 |
| transcript.pyannote[4].end |
9.29534375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
14.91471875 |
| transcript.pyannote[5].end |
47.39909375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
47.97284375 |
| transcript.pyannote[6].end |
61.81034375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
58.31721875 |
| transcript.pyannote[7].end |
58.51971875 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
62.21534375 |
| transcript.pyannote[8].end |
69.37034375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
69.48846875 |
| transcript.pyannote[9].end |
95.56034375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
69.57284375 |
| transcript.pyannote[10].end |
69.80909375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
95.76284375 |
| transcript.pyannote[11].end |
125.04096875 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
115.20284375 |
| transcript.pyannote[12].end |
115.45596875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
120.28221875 |
| transcript.pyannote[13].end |
122.57721875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
123.38721875 |
| transcript.pyannote[14].end |
134.03534375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
126.23909375 |
| transcript.pyannote[15].end |
126.94784375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
127.28534375 |
| transcript.pyannote[16].end |
128.21346875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
133.07346875 |
| transcript.pyannote[17].end |
133.36034375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
134.03534375 |
| transcript.pyannote[18].end |
137.24159375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
137.24159375 |
| transcript.pyannote[19].end |
155.02784375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
137.27534375 |
| transcript.pyannote[20].end |
140.97096875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
141.61221875 |
| transcript.pyannote[21].end |
141.96659375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
143.95784375 |
| transcript.pyannote[22].end |
144.22784375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
145.02096875 |
| transcript.pyannote[23].end |
146.23596875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
146.99534375 |
| transcript.pyannote[24].end |
147.26534375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
155.02784375 |
| transcript.pyannote[25].end |
155.39909375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
155.39909375 |
| transcript.pyannote[26].end |
189.03096875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
187.78221875 |
| transcript.pyannote[27].end |
188.42346875 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
189.03096875 |
| transcript.pyannote[28].end |
189.36846875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
189.36846875 |
| transcript.pyannote[29].end |
189.48659375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
189.48659375 |
| transcript.pyannote[30].end |
189.53721875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
189.53721875 |
| transcript.pyannote[31].end |
189.73971875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
189.73971875 |
| transcript.pyannote[32].end |
189.75659375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
190.16159375 |
| transcript.pyannote[33].end |
197.70471875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
197.77221875 |
| transcript.pyannote[34].end |
205.60221875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
205.50096875 |
| transcript.pyannote[35].end |
211.96409375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
211.71096875 |
| transcript.pyannote[36].end |
212.20034375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
212.04846875 |
| transcript.pyannote[37].end |
216.87471875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
216.48659375 |
| transcript.pyannote[38].end |
224.70471875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
219.47346875 |
| transcript.pyannote[39].end |
252.14346875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
225.93659375 |
| transcript.pyannote[40].end |
226.07159375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
227.35409375 |
| transcript.pyannote[41].end |
229.36221875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
234.98159375 |
| transcript.pyannote[42].end |
235.52159375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
235.67346875 |
| transcript.pyannote[43].end |
235.74096875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
250.01721875 |
| transcript.pyannote[44].end |
250.03409375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
250.05096875 |
| transcript.pyannote[45].end |
250.32096875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
252.56534375 |
| transcript.pyannote[46].end |
253.17284375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
253.35846875 |
| transcript.pyannote[47].end |
260.56409375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
260.80034375 |
| transcript.pyannote[48].end |
280.00409375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
267.21284375 |
| transcript.pyannote[49].end |
267.61784375 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
270.35159375 |
| transcript.pyannote[50].end |
270.90846875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
274.38471875 |
| transcript.pyannote[51].end |
276.32534375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
277.64159375 |
| transcript.pyannote[52].end |
279.97034375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
280.00409375 |
| transcript.pyannote[53].end |
280.24034375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
280.24034375 |
| transcript.pyannote[54].end |
280.99971875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
280.49346875 |
| transcript.pyannote[55].end |
285.47159375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
282.11346875 |
| transcript.pyannote[56].end |
283.02471875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
283.17659375 |
| transcript.pyannote[57].end |
284.18909375 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
285.55596875 |
| transcript.pyannote[58].end |
285.58971875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
285.62346875 |
| transcript.pyannote[59].end |
289.03221875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
287.81721875 |
| transcript.pyannote[60].end |
288.71159375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
289.03221875 |
| transcript.pyannote[61].end |
289.33596875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
289.33596875 |
| transcript.pyannote[62].end |
296.01846875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
289.35284375 |
| transcript.pyannote[63].end |
291.02346875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
291.17534375 |
| transcript.pyannote[64].end |
291.95159375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
296.89596875 |
| transcript.pyannote[65].end |
298.27971875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
298.78596875 |
| transcript.pyannote[66].end |
299.29221875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
299.84909375 |
| transcript.pyannote[67].end |
301.80659375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
302.24534375 |
| transcript.pyannote[68].end |
308.72534375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
308.87721875 |
| transcript.pyannote[69].end |
310.44659375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
311.15534375 |
| transcript.pyannote[70].end |
316.96034375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
317.34846875 |
| transcript.pyannote[71].end |
338.79659375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
324.72284375 |
| transcript.pyannote[72].end |
324.95909375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
326.83221875 |
| transcript.pyannote[73].end |
327.10221875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
330.86534375 |
| transcript.pyannote[74].end |
330.93284375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
330.96659375 |
| transcript.pyannote[75].end |
331.21971875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
339.72471875 |
| transcript.pyannote[76].end |
341.54721875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
341.83409375 |
| transcript.pyannote[77].end |
343.38659375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
343.79159375 |
| transcript.pyannote[78].end |
349.02284375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
349.02284375 |
| transcript.pyannote[79].end |
362.48909375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
359.97471875 |
| transcript.pyannote[80].end |
360.39659375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
362.67471875 |
| transcript.pyannote[81].end |
371.41596875 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
371.41596875 |
| transcript.pyannote[82].end |
382.95846875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
372.71534375 |
| transcript.pyannote[83].end |
373.15409375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
382.95846875 |
| transcript.pyannote[84].end |
383.51534375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
383.61659375 |
| transcript.pyannote[85].end |
390.68721875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
383.71784375 |
| transcript.pyannote[86].end |
383.75159375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
388.61159375 |
| transcript.pyannote[87].end |
396.40784375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
391.66596875 |
| transcript.pyannote[88].end |
392.76284375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
394.95659375 |
| transcript.pyannote[89].end |
395.96909375 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
397.28534375 |
| transcript.pyannote[90].end |
398.90534375 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
398.95596875 |
| transcript.pyannote[91].end |
399.90096875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
403.19159375 |
| transcript.pyannote[92].end |
405.14909375 |
| transcript.whisperx[0].start |
0.31 |
| transcript.whisperx[0].end |
7.188 |
| transcript.whisperx[0].text |
把消費資金請郭國文委員謝謝主席,有請陳部長請農業部陳部長 |
| transcript.whisperx[1].start |
14.946 |
| transcript.whisperx[1].end |
33.974 |
| transcript.whisperx[1].text |
委員好 部長好 部長對於這一個極端氣候然後台南又是水庫最多的地方然後現階段很多農民都是非常肯定那個部長的這一個擴大灌區的一個政策那就報告當中其實農場的部分有31件那本期的選區就通過9件 |
| transcript.whisperx[2].start |
34.654 |
| transcript.whisperx[2].end |
61.596 |
| transcript.whisperx[2].text |
但是這個部分以前在農場的這個部分的清淤都是以具有公益性與否來做一個判斷的標準這個基本上本席是同意是不是多戶使用水管是不是外接這OK但是其實對我們之前對農民的一些蓄水或灌水的設施都有予以補助甚至包括水塔、滴灌還有灑水設施等等從四成五甚至到八成都有 |
| transcript.whisperx[3].start |
62.256 |
| transcript.whisperx[3].end |
85.895 |
| transcript.whisperx[3].text |
可是同樣的這個要解決水的問題私人農場的部分就面臨很大的問題部長私人農場他自己要處理土方你也知道現在土方很難處理那要填寫很多的表格在行政作業上成本非常的高所以我說請部長再思考一下如何把這個擴大關區能夠真正落實的話除了公益性的考量 |
| transcript.whisperx[4].start |
86.135 |
| transcript.whisperx[4].end |
103.98 |
| transcript.whisperx[4].text |
私人農場的部分也可以解決農民的問題來比照水塔設施的購買方式來予以一些政策上的補助或者行政上的協助 部長謝謝委員一直在關心這個議題那我們也非常認真的去思考相關的 特別是公私人的農場農台的部分 |
| transcript.whisperx[5].start |
104.6 |
| transcript.whisperx[5].end |
128.348 |
| transcript.whisperx[5].text |
那這個部分本來我們是以公益農場為優先嘛那市內農場我們現在我有請農政水保署這邊在設計用什麼 當然不能完全比照公益的啦所以我們會去了解它的樣態到底需要的協助包括這些 必要的普查是需要的必要的部分我們會做一個調查以後再來處理因為幾年水庫常常缺水這是很諷刺的事情嘛大家說農場做下去我們家的時間不行 |
| transcript.whisperx[6].start |
132.629 |
| transcript.whisperx[6].end |
145.254 |
| transcript.whisperx[6].text |
對不對 我認同議員說的我們的水資源很重要 不能分工跟吃啦市長堂一個月嘛 一個給本席答覆你要怎麼去協助輔導政策補助 該給的要給 |
| transcript.whisperx[7].start |
148.915 |
| transcript.whisperx[7].end |
175.728 |
| transcript.whisperx[7].text |
該面對要面對 另外一個部分當然還有一個擴大灌區的一種就是水池 蓄水池的部分我這個部分12座啦 已經完成完工3座目前呢 還有後面還有5加4但5個在施工中 還有4座但4座的部分 當然早期我們實驗室在南溪的這個部分有些是後面是要預警 然後還有南化 還有大內這些東西你們在尋找地點的時候 你稍微探聽一下啦 |
| transcript.whisperx[8].start |
176.789 |
| transcript.whisperx[8].end |
199.708 |
| transcript.whisperx[8].text |
不好 隆東隆碧已經很多的地方 啊你再用一個那個蓄水池在那邊邊際效益不大嘛 對不對你不可以聽電話說要清除 這是不是電費條呢對啊 這要花很多錢耶部長我想後續齁 就是第一個部分就是地點的規劃我想我們後續會更跟委員討論 因為委員在地方在走動可能更清楚齁 |
| transcript.whisperx[9].start |
200.368 |
| transcript.whisperx[9].end |
216.117 |
| transcript.whisperx[9].text |
第二個部分在五座的部分我們做合併發包大概在11月就能夠完工啦我知道但是後面四座的部分選址要很清楚了解而且四座選址完以後如果吃好會倒修不了解那我說你現在只有12座第二階段要幾座你也要地方要講一下啊 |
| transcript.whisperx[10].start |
216.797 |
| transcript.whisperx[10].end |
239.3 |
| transcript.whisperx[10].text |
這個部分我想我們後續會跟委員來溝通 看看哪個地方是最好的最有效率的 這樣能達到公民的需求你不要像公共要採人頭門 靠你來採這個我們會注意這個才是真的需要公益性的考量另外一個部分 那個我想署長後面也在跟你搖耳朵那個漲水工很重要 我們灌溉海豚 因為灌溉海豚漲水工 |
| transcript.whisperx[11].start |
240.681 |
| transcript.whisperx[11].end |
249.35 |
| transcript.whisperx[11].text |
我為了高百姓才這麼聰明你知道他們每天在看福利一直增加基本工資每天調這個數十年才調兩百也沒有底薪部長 人很難找要是你找不到薪水工你沒有把他基本的保障建立起來你會很麻煩 |
| transcript.whisperx[12].start |
262.042 |
| transcript.whisperx[12].end |
284.426 |
| transcript.whisperx[12].text |
我跟委員報告 針對展翠工的部分第一線的工作其實我們已經有在規劃相關的怎麼樣去調整他的薪資的結構啦那這個部分因為薪資結構不是用業務會的人去處理啦所以我們也會再去跟人總這邊看看怎麼樣有錢到有錢 要打零工嘛要把它制度化嘛 好不好這個我們已經在規劃了 積極的面對這個問題啦這個勞動力不可缺啊 |
| transcript.whisperx[13].start |
288.027 |
| transcript.whisperx[13].end |
310.492 |
| transcript.whisperx[13].text |
特別在第一線的我們一定要保障那這個一個月給本市還有一個很重要的事情 最近本市到這一個山區你看看中央兩行 除了芒果還有民旦都出問題芒果第一個問題是早期的這個佐果率不到五成空包蛋比例非常的高有一縮是人工躁雨所造成的 |
| transcript.whisperx[14].start |
311.312 |
| transcript.whisperx[14].end |
338.592 |
| transcript.whisperx[14].text |
每年都有人工躁瘀的問題因為它的花就變黑啊 我想平時的花就變黑啊就不會結枝啊然後呢這裡頭有幾個嘛一個時間差一個是地面差還有一個呢是藥劑成分可以做調整為什麼每年都遇到這個問題部長我們要解決這個問題啊否則我們每年勘再勘再不完啦這是第一個第二個是文旦的這個部分文旦去年風災非常的嚴重以及於果樹的根部鬆動所以今年喔 |
| transcript.whisperx[15].start |
339.793 |
| transcript.whisperx[15].end |
356.892 |
| transcript.whisperx[15].text |
那個根本沒有開什麼文旦花咧文旦花很久沒開咧這兩大造業簽不到佐果率這個節食率的問題可能減少有風險部長你要去面對啊我有一份報告特別說芒果跟文旦的部分因為它今年的開花的部分有的不如預期嘛但是 |
| transcript.whisperx[16].start |
357.812 |
| transcript.whisperx[16].end |
383.237 |
| transcript.whisperx[16].text |
開發本身的結果率更重要啦所以我已經要求我們的改良團要隨時去掌握這個現況如果儘早能夠確認它可能會影響的話就要儘早去處理現在3月中現在就預估我們3月是必要的時候我們一起去會看一下還有一個就是說每次拿到這一個天然災害補助一段都要等半天以上啊看有什麼方式沒縮短不然你一開始補助我們要被問半年對啊 |
| transcript.whisperx[17].start |
383.777 |
| transcript.whisperx[17].end |
403.586 |
| transcript.whisperx[17].text |
好不好 了解 我們針對氣象型的災損的品項 我們一陸續在開這個部分這兩點問題 事後給本席一個答覆啦那找個時間我們下去看一下啦好 謝謝部長 謝謝主席 謝謝謝謝郭國勇委員 部長先回座消費資源請賴瑞榮委員 |