iVOD / 159634

Field Value
IVOD_ID 159634
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159634
日期 2025-03-26
會議資料.會議代碼 委員會-11-3-19-5
會議資料.會議代碼:str 第11屆第3會期經濟委員會第5次全體委員會議
會議資料.屆 11
會議資料.會期 3
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] 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3會期經濟委員會第5次全體委員會議
影片種類 Clip
開始時間 2025-03-26T11:54:48+08:00
結束時間 2025-03-26T12:02:05+08:00
影片長度 00:07:17
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8cb7ec0b2cd1ea3453846932d7fb8195280a1269ac70bedc0b0900eab363510f4a16c5dc7554018e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 11:54:48 - 12:02:05
會議時間 2025-03-26T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第5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。【3月26日及27日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 1.17846875
transcript.pyannote[0].end 1.56659375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 2.00534375
transcript.pyannote[1].end 5.39721875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 19.03221875
transcript.pyannote[2].end 23.75721875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 24.17909375
transcript.pyannote[3].end 33.94971875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 38.69159375
transcript.pyannote[4].end 38.91096875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 39.72096875
transcript.pyannote[5].end 48.32721875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 48.68159375
transcript.pyannote[6].end 49.05284375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 49.37346875
transcript.pyannote[7].end 53.03534375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 53.25471875
transcript.pyannote[8].end 54.60471875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 55.76909375
transcript.pyannote[9].end 56.17409375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 56.76471875
transcript.pyannote[10].end 58.16534375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 58.28346875
transcript.pyannote[11].end 60.29159375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 60.59534375
transcript.pyannote[12].end 62.77221875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 65.94471875
transcript.pyannote[13].end 68.35784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 68.56034375
transcript.pyannote[14].end 72.47534375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 70.75409375
transcript.pyannote[15].end 72.17159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 72.47534375
transcript.pyannote[16].end 75.04034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 73.31909375
transcript.pyannote[17].end 74.75346875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 75.14159375
transcript.pyannote[18].end 78.26346875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 78.87096875
transcript.pyannote[19].end 80.30534375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 81.11534375
transcript.pyannote[20].end 82.43159375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 82.60034375
transcript.pyannote[21].end 84.86159375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 85.09784375
transcript.pyannote[22].end 86.90346875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 88.08471875
transcript.pyannote[23].end 88.60784375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 89.09721875
transcript.pyannote[24].end 91.30784375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 91.69596875
transcript.pyannote[25].end 92.74221875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 93.23159375
transcript.pyannote[26].end 94.73346875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 95.61096875
transcript.pyannote[27].end 96.08346875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 96.20159375
transcript.pyannote[28].end 99.23909375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 99.62721875
transcript.pyannote[29].end 100.85909375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 101.23034375
transcript.pyannote[30].end 101.83784375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 101.90534375
transcript.pyannote[31].end 102.32721875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 102.69846875
transcript.pyannote[32].end 104.26784375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 104.47034375
transcript.pyannote[33].end 105.11159375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 105.28034375
transcript.pyannote[34].end 106.36034375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 106.71471875
transcript.pyannote[35].end 110.34284375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 110.98409375
transcript.pyannote[36].end 115.01721875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 115.01721875
transcript.pyannote[37].end 116.26596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 116.48534375
transcript.pyannote[38].end 121.96971875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 122.30721875
transcript.pyannote[39].end 125.90159375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 126.00284375
transcript.pyannote[40].end 128.73659375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 129.32721875
transcript.pyannote[41].end 129.34409375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 129.34409375
transcript.pyannote[42].end 137.64659375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 131.06534375
transcript.pyannote[43].end 131.53784375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 134.92971875
transcript.pyannote[44].end 143.02971875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 143.09721875
transcript.pyannote[45].end 146.40471875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 146.65784375
transcript.pyannote[46].end 147.58596875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 148.14284375
transcript.pyannote[47].end 153.05346875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 153.17159375
transcript.pyannote[48].end 156.04034375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 156.34409375
transcript.pyannote[49].end 157.79534375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 158.41971875
transcript.pyannote[50].end 160.25909375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 160.44471875
transcript.pyannote[51].end 166.87409375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 166.87409375
transcript.pyannote[52].end 166.90784375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 167.39721875
transcript.pyannote[53].end 167.97096875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 167.97096875
transcript.pyannote[54].end 192.49034375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 172.27409375
transcript.pyannote[55].end 173.65784375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 173.84346875
transcript.pyannote[56].end 175.81784375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 179.07471875
transcript.pyannote[57].end 179.86784375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 185.75721875
transcript.pyannote[58].end 186.66846875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 187.68096875
transcript.pyannote[59].end 187.74846875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 189.18284375
transcript.pyannote[60].end 191.44409375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 192.49034375
transcript.pyannote[61].end 197.21534375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 192.50721875
transcript.pyannote[62].end 192.62534375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 198.19409375
transcript.pyannote[63].end 199.42596875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 198.29534375
transcript.pyannote[64].end 199.13909375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 199.42596875
transcript.pyannote[65].end 207.55971875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 201.97409375
transcript.pyannote[66].end 203.99909375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 205.85534375
transcript.pyannote[67].end 211.94721875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 207.72846875
transcript.pyannote[68].end 209.43284375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 210.61409375
transcript.pyannote[69].end 211.79534375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 212.25096875
transcript.pyannote[70].end 214.76534375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 215.67659375
transcript.pyannote[71].end 216.43596875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 217.53284375
transcript.pyannote[72].end 217.56659375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 217.56659375
transcript.pyannote[73].end 218.10659375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 218.29221875
transcript.pyannote[74].end 218.91659375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 218.44409375
transcript.pyannote[75].end 218.93346875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 218.93346875
transcript.pyannote[76].end 224.67096875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 222.47721875
transcript.pyannote[77].end 223.72596875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 225.19409375
transcript.pyannote[78].end 228.02909375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 226.13909375
transcript.pyannote[79].end 226.81409375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 228.07971875
transcript.pyannote[80].end 230.94846875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 231.50534375
transcript.pyannote[81].end 233.64846875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 233.78346875
transcript.pyannote[82].end 236.16284375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 236.51721875
transcript.pyannote[83].end 237.86721875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 237.91784375
transcript.pyannote[84].end 241.36034375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 241.36034375
transcript.pyannote[85].end 249.00471875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 241.47846875
transcript.pyannote[86].end 242.84534375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 249.24096875
transcript.pyannote[87].end 255.94034375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 256.44659375
transcript.pyannote[88].end 260.00721875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 259.97346875
transcript.pyannote[89].end 260.15909375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 260.15909375
transcript.pyannote[90].end 264.17534375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 264.90096875
transcript.pyannote[91].end 266.50409375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 267.49971875
transcript.pyannote[92].end 268.02284375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 268.61346875
transcript.pyannote[93].end 269.05221875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 269.17034375
transcript.pyannote[94].end 269.76096875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 270.95909375
transcript.pyannote[95].end 271.31346875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 271.44846875
transcript.pyannote[96].end 273.57471875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 271.58346875
transcript.pyannote[97].end 273.55784375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 273.57471875
transcript.pyannote[98].end 273.84471875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 274.08096875
transcript.pyannote[99].end 275.19471875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 275.31284375
transcript.pyannote[100].end 277.77659375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 275.90346875
transcript.pyannote[101].end 278.63721875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 278.01284375
transcript.pyannote[102].end 278.46846875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 278.78909375
transcript.pyannote[103].end 279.56534375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 279.80159375
transcript.pyannote[104].end 282.94034375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 283.14284375
transcript.pyannote[105].end 284.22284375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 285.42096875
transcript.pyannote[106].end 288.27284375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 288.59346875
transcript.pyannote[107].end 290.53409375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 290.78721875
transcript.pyannote[108].end 296.74409375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 297.06471875
transcript.pyannote[109].end 299.81534375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 300.64221875
transcript.pyannote[110].end 301.90784375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 302.46471875
transcript.pyannote[111].end 307.89846875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 308.20221875
transcript.pyannote[112].end 316.87596875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 317.17971875
transcript.pyannote[113].end 321.83721875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 322.20846875
transcript.pyannote[114].end 325.61721875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 326.12346875
transcript.pyannote[115].end 328.01346875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 328.24971875
transcript.pyannote[116].end 333.90284375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 334.98284375
transcript.pyannote[117].end 336.80534375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 337.00784375
transcript.pyannote[118].end 340.19721875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 340.61909375
transcript.pyannote[119].end 341.29409375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 341.91846875
transcript.pyannote[120].end 343.35284375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 343.90971875
transcript.pyannote[121].end 360.05909375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 360.16034375
transcript.pyannote[122].end 361.91534375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 362.53971875
transcript.pyannote[123].end 362.55659375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 362.55659375
transcript.pyannote[124].end 362.59034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 362.59034375
transcript.pyannote[125].end 372.42846875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 364.46346875
transcript.pyannote[126].end 364.86846875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 365.00346875
transcript.pyannote[127].end 365.61096875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 372.76596875
transcript.pyannote[128].end 383.05971875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 382.41846875
transcript.pyannote[129].end 383.29596875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 383.29596875
transcript.pyannote[130].end 389.89409375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 390.29909375
transcript.pyannote[131].end 392.96534375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 393.15096875
transcript.pyannote[132].end 395.86784375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 396.35721875
transcript.pyannote[133].end 397.38659375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 397.84221875
transcript.pyannote[134].end 401.60534375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 401.95971875
transcript.pyannote[135].end 402.97221875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 403.15784375
transcript.pyannote[136].end 405.60471875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 405.65534375
transcript.pyannote[137].end 409.50284375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 409.63784375
transcript.pyannote[138].end 410.34659375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 410.34659375
transcript.pyannote[139].end 410.36346875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 410.56596875
transcript.pyannote[140].end 410.59971875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 410.59971875
transcript.pyannote[141].end 423.79596875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 422.98596875
transcript.pyannote[142].end 425.85471875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 426.12471875
transcript.pyannote[143].end 427.27221875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 427.76159375
transcript.pyannote[144].end 432.55409375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 433.00971875
transcript.pyannote[145].end 437.24534375
transcript.whisperx[0].start 2.031
transcript.whisperx[0].end 3.776
transcript.whisperx[0].text 對那我們中午不休息就開會到會議結束
transcript.whisperx[1].start 19.216
transcript.whisperx[1].end 30.791
transcript.whisperx[1].text 主席 在黨委員間間列席的政府機關使用官員 會長 工作夥伴 媒體記者 女士先生有請農業部陳部長好 有請部長永旭市的莊司長 農糧署姚署長和農經署的李署長好 莊司長 姚署長跟李署長
transcript.whisperx[2].start 38.697
transcript.whisperx[2].end 62.607
transcript.whisperx[2].text 好 部長好 署長好 市長好 天災救助一作物類別分類分歧 檳榔肺源轉設施農業兼綠電 好 我們來看一下 部長來 為什麼交農要控訴這個王文威委員這樣的一段話 害慘了交農的收購價為什麼 一斤一百塊發布之後 為什麼交農底下寫 哎呀 害我們的拍賣市場價格沒有辦法正常 為什麼
transcript.whisperx[3].start 66.024
transcript.whisperx[3].end 94.533
transcript.whisperx[3].text 去年我們遭遇到了上個颱風然後今年度我們那個溫低溫造成的是不是天災交農收成減少供應量不足對不對那請問這樣的結果收購價恰降了跌產了消費者買到廉價香蕉嗎量價齁量量收購價產地收購價恰跌了消費市場有買到便宜的香蕉嗎往下一頁為什麼盤商因為天然災害供應量減他當然價格他會提高啊
transcript.whisperx[4].start 95.646
transcript.whisperx[4].end 110.12
transcript.whisperx[4].text 對不對 林鄭要提高啊 可是她又用新聞操作又灌跌了收購價 拜託部長 請署長要去關切一下不要讓媒體或有些錯誤的報導影響到產地農民的收益 可以嗎
transcript.whisperx[5].start 111.018
transcript.whisperx[5].end 128.491
transcript.whisperx[5].text 可以我想我們會持續關切這個產銷的一個之間的那個鏈結好我們往下看齁這個在去年呢我們屏東其實不只屏東各地的因為天災農民損失慘重請問部長天然災害的救助金農損救助金是幫農民復耕還是幫他彌平所有他災害的損失
transcript.whisperx[6].start 129.366
transcript.whisperx[6].end 147.379
transcript.whisperx[6].text 我想天然災害救助金額 最主要是協助它能夠盡量的 盡快的復耕但是如果收成損失了 那要靠農業保險嘛 是這樣 往下看所以目前我們要知道 作物有短期作物 有長期作物復耕期短
transcript.whisperx[7].start 148.18
transcript.whisperx[7].end 163.886
transcript.whisperx[7].text 他每次復耕又來添災 每次復耕來添災但是我們貴署的規定一年只能補一次長期作物又不同了長期作物他可能收穫錢損失跟在耕作的時候的損失那麼作物的週期長短不一復耕的需求也不一樣
transcript.whisperx[8].start 164.446
transcript.whisperx[8].end 181.436
transcript.whisperx[8].text 你們怎麼樣定我們的救助的一些頻率我跟委員報告基本上我們是用作物的生產季為一個單位以生產作為單位對 像短期的話它可能一個月一次對那一季一季它如果下個月再遇到的話它還是可以所以它是用生產季那長期作物的話
transcript.whisperx[9].start 182.436
transcript.whisperx[9].end 196.937
transcript.whisperx[9].text 過去是用歷年為單位那後來我們跟所有的討論就還是以生長季為單位所以落實下去大概六個作物做了調整請農糧署要跟農民宣布不然很多農民都以為說只能補一次好不好
transcript.whisperx[10].start 199.718
transcript.whisperx[10].end 224.274
transcript.whisperx[10].text 這個其實我們已經公告了公告後要加強宣傳我們是用生長劑為單位以生長劑來做一個天災救助的週期好 往下看好 濱南會員轉座 昨天跟你談了很久成效怎麼樣持續的努力在做這些肺炎的工作那你想為什麼農民他不願意
transcript.whisperx[11].start 225.236
transcript.whisperx[11].end 248.804
transcript.whisperx[11].text 那最主要是因為是轉做一個空窗期長嗎?不是,檳榔本身它的一個付出的勞力比較低然後它的價格的部分所以基本上它的因為你廢原以後它復耕時間會比較長也造成它的影響兩個原因,第一個它現在撤掉了,它就沒修理嘛,對不對?所以空窗期沒有收入嘛
transcript.whisperx[12].start 249.324
transcript.whisperx[12].end 267.753
transcript.whisperx[12].text 第二個轉作的新作物他的預期效益,不知道啊,我現在種綠萊,我現在種其他的東西,我不知道會比平衡還好嗎?是不是這樣?所以確定未來轉作的農作的收益,對農民很重要,農民才會知道說我轉作什麼,會賺錢,會比平衡還好,來往下看來,哪一種的作物的收益高?貴鳥、薑、芹菜
transcript.whisperx[13].start 270.99
transcript.whisperx[13].end 298.686
transcript.whisperx[13].text 來 市長可以幫忙講 來 哪些比較高現在國際市場Q通好賣啦貴賣是外銷市場啦 金財是國內都不中啦他們有什麼共同特性他是市場需求高 對不對 作物週期短品質要求高 價格也不錯重要的 他是不是要一個高強度的設施內的栽培好 那現在設施栽培來往下看老農他負擔得起設施農業的高門檻嗎
transcript.whisperx[14].start 300.994
transcript.whisperx[14].end 324.583
transcript.whisperx[14].text 你們可以幫助嗎?我們有增加那個補助的一個比例我告訴你,你不管怎麼幫助,不會超過三分之一啦但是三分之一都不用出啦,它出不去了所以呢,簡單結論來跟你講齁其實,設施農業,它如果種了高價值的作物如果說能夠屋頂型的光電搭配,來補充它的收益這個屋頂型的光電可以取代設施農業它的結構
transcript.whisperx[15].start 326.585
transcript.whisperx[15].end 333.743
transcript.whisperx[15].text 這個是很清楚的所以呢我看莊老達市長一直在點頭所以這樣的方法設置農業跟光電結合農業部支不支持
transcript.whisperx[16].start 337.155
transcript.whisperx[16].end 361.624
transcript.whisperx[16].text 所以我們的結論就是這樣子為什麼把農金署的書商找來?青農有技術沒有錢老農有地沒有錢但是農企業他能夠有訂單有技術有勞力找青農的勞動力配合上年老的地主的檳榔員然後找到光電業者來上面減輕他的設施的投資共創市營您覺得這個方式可以做嗎?
transcript.whisperx[17].start 362.554
transcript.whisperx[17].end 379.209
transcript.whisperx[17].text 我覺得這個想法非常好,我們可以逐步地落實所以檳榔啊,檳榔才要被會員轉作,一定要往什麼?設施、農業去思考所以結論,我們的作物週期長短不一,你們復根的天災救助你剛才說了,按照它的行動的整體來計算,對不對?是確定嗎?是另外
transcript.whisperx[18].start 384.093
transcript.whisperx[18].end 389.618
transcript.whisperx[18].text 所以最後請你承諾,設置實作的園區,你去找一塊地,讓這裡的農企業有辦法去種好的植物來,高級的植物來,請他們進來,種給農民看,種這裡看到種幾年會賺錢,種前期會賺錢,種後期會賺錢,這樣他們才有可能把他們的平衡方法,
transcript.whisperx[19].start 405.834
transcript.whisperx[19].end 432.311
transcript.whisperx[19].text 跟這裡的容器業跟這裡的青龍跟這裡的光電合作有這件事嗎?我想我們會找適當的地點然後結合當地的地主還有一些願意實際耕作的甚至於有些光電業者可以上面可以附帶光電成立一個小的一個示範場域那後面的示範場域後面幾個董事要找喔?永續是要找喔?我們農糧署要找喔?農金署要找喔?趕快做起來做一個專案稍後來推出這個方案好不好?這個我們朝這個方向來做
transcript.whisperx[20].start 434.673
transcript.whisperx[20].end 436.461
transcript.whisperx[20].text 好 謝謝部長 謝謝各位司長 署長 謝謝