iVOD / 166225

Field Value
IVOD_ID 166225
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/166225
日期 2025-12-08
會議資料.會議代碼 委員會-11-4-19-15
會議資料.會議代碼:str 第11屆第4會期經濟委員會第15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 15
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15次全體委員會議
影片種類 Clip
開始時間 2025-12-08T11:16:45+08:00
結束時間 2025-12-08T11:26:19+08:00
影片長度 00:09:34
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e238918248e277b3a27f7f5448515be846ee6dd7c9e9cb529da9d853841b9c5bb268d5fed35f2e155ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張啓楷
委員發言時間 11:16:45 - 11:26:19
會議時間 2025-12-08T09:00:00+08:00
會議名稱 立法院第11屆第4會期經濟委員會第15次全體委員會議(事由:審查: 一、本院委員謝衣鳯等16人擬具「農民退休儲金條例第七條條文修正草案」案。 二、本院委員郭國文等17人擬具「農民退休儲金條例第七條條文修正草案」案。 三、本院委員蔡易餘等20人擬具「農民退休儲金條例第二條及第七條條文修正草案」案。 四、本院委員陳亭妃等19人擬具「農民退休儲金條例第二條及第七條條文修正草案」案。 (第四案如未接獲院會交付審查之議事處來文,則不予審查) (詢答及處理) 【12月8日及10日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 25.05659375
transcript.pyannote[0].end 28.09409375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 29.30909375
transcript.pyannote[1].end 29.51159375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 30.30471875
transcript.pyannote[2].end 31.23284375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 31.87409375
transcript.pyannote[3].end 35.14784375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 32.51534375
transcript.pyannote[4].end 32.61659375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 35.67096875
transcript.pyannote[5].end 37.34159375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 37.99971875
transcript.pyannote[6].end 38.92784375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 39.34971875
transcript.pyannote[7].end 42.55596875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 42.75846875
transcript.pyannote[8].end 43.09596875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 43.41659375
transcript.pyannote[9].end 44.73284375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 45.13784375
transcript.pyannote[10].end 46.70721875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 47.23034375
transcript.pyannote[11].end 48.22596875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 48.76596875
transcript.pyannote[12].end 51.29721875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 53.25471875
transcript.pyannote[13].end 57.67596875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 57.79409375
transcript.pyannote[14].end 59.26221875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 59.78534375
transcript.pyannote[15].end 60.98346875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 61.50659375
transcript.pyannote[16].end 65.86034375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 66.26534375
transcript.pyannote[17].end 68.84721875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 69.53909375
transcript.pyannote[18].end 71.05784375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 72.12096875
transcript.pyannote[19].end 75.27659375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 75.90096875
transcript.pyannote[20].end 79.10721875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 79.59659375
transcript.pyannote[21].end 81.77346875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 82.75221875
transcript.pyannote[22].end 86.90346875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 87.64596875
transcript.pyannote[23].end 91.52721875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 92.23596875
transcript.pyannote[24].end 95.88096875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 96.35346875
transcript.pyannote[25].end 97.53471875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 97.97346875
transcript.pyannote[26].end 101.21346875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 101.56784375
transcript.pyannote[27].end 102.00659375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 102.29346875
transcript.pyannote[28].end 102.88409375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 103.64346875
transcript.pyannote[29].end 107.11971875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 107.44034375
transcript.pyannote[30].end 108.77346875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 109.81971875
transcript.pyannote[31].end 120.09659375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 120.18096875
transcript.pyannote[32].end 121.68284375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 122.00346875
transcript.pyannote[33].end 122.91471875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 123.33659375
transcript.pyannote[34].end 125.80034375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 125.95221875
transcript.pyannote[35].end 130.87971875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 131.57159375
transcript.pyannote[36].end 133.14096875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 133.66409375
transcript.pyannote[37].end 138.00096875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 136.76909375
transcript.pyannote[38].end 137.05596875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 139.41846875
transcript.pyannote[39].end 141.78096875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 142.48971875
transcript.pyannote[40].end 146.37096875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 146.86034375
transcript.pyannote[41].end 152.37846875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 153.47534375
transcript.pyannote[42].end 163.17846875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 163.60034375
transcript.pyannote[43].end 164.57909375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 165.16971875
transcript.pyannote[44].end 167.26221875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 167.95409375
transcript.pyannote[45].end 170.14784375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 171.17721875
transcript.pyannote[46].end 174.73784375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 175.51409375
transcript.pyannote[47].end 183.49596875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 184.81221875
transcript.pyannote[48].end 187.32659375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 189.03096875
transcript.pyannote[49].end 216.30096875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 216.87471875
transcript.pyannote[50].end 222.67971875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 217.81971875
transcript.pyannote[51].end 218.12346875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 218.91659375
transcript.pyannote[52].end 219.47346875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 223.15221875
transcript.pyannote[53].end 227.77596875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 229.05846875
transcript.pyannote[54].end 231.26909375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 231.79221875
transcript.pyannote[55].end 241.59659375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 241.93409375
transcript.pyannote[56].end 248.78534375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 249.59534375
transcript.pyannote[57].end 249.86534375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 249.86534375
transcript.pyannote[58].end 255.21471875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 255.80534375
transcript.pyannote[59].end 259.66971875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 260.14221875
transcript.pyannote[60].end 262.26846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 262.53846875
transcript.pyannote[61].end 268.22534375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 268.52909375
transcript.pyannote[62].end 269.59221875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 270.11534375
transcript.pyannote[63].end 271.88721875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 272.29221875
transcript.pyannote[64].end 274.16534375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 274.24971875
transcript.pyannote[65].end 277.27034375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 277.72596875
transcript.pyannote[66].end 282.95721875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 282.82221875
transcript.pyannote[67].end 284.49284375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 284.49284375
transcript.pyannote[68].end 284.57721875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 284.57721875
transcript.pyannote[69].end 284.64471875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 284.64471875
transcript.pyannote[70].end 284.71221875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 284.71221875
transcript.pyannote[71].end 284.72909375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 284.72909375
transcript.pyannote[72].end 287.46284375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 286.18034375
transcript.pyannote[73].end 289.74096875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 289.74096875
transcript.pyannote[74].end 289.84221875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 289.84221875
transcript.pyannote[75].end 289.87596875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 289.87596875
transcript.pyannote[76].end 294.33096875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 294.73596875
transcript.pyannote[77].end 299.95034375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 300.52409375
transcript.pyannote[78].end 302.61659375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 302.88659375
transcript.pyannote[79].end 306.59909375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 307.22346875
transcript.pyannote[80].end 308.53971875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 307.69596875
transcript.pyannote[81].end 311.57721875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 310.80096875
transcript.pyannote[82].end 316.38659375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 313.06221875
transcript.pyannote[83].end 313.46721875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 316.84221875
transcript.pyannote[84].end 325.92096875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 317.02784375
transcript.pyannote[85].end 317.11221875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 326.27534375
transcript.pyannote[86].end 330.13971875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 329.26221875
transcript.pyannote[87].end 332.65409375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 331.54034375
transcript.pyannote[88].end 332.67096875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 332.67096875
transcript.pyannote[89].end 332.73846875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 332.73846875
transcript.pyannote[90].end 341.32784375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 333.32909375
transcript.pyannote[91].end 333.91971875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 334.52721875
transcript.pyannote[92].end 335.38784375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 337.63221875
transcript.pyannote[93].end 338.20596875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 342.20534375
transcript.pyannote[94].end 346.01909375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 346.18784375
transcript.pyannote[95].end 352.06034375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 352.63409375
transcript.pyannote[96].end 353.86596875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 354.33846875
transcript.pyannote[97].end 355.16534375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 356.09346875
transcript.pyannote[98].end 358.08471875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 358.21971875
transcript.pyannote[99].end 358.99596875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 359.95784375
transcript.pyannote[100].end 360.27846875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 360.83534375
transcript.pyannote[101].end 363.28221875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 363.40034375
transcript.pyannote[102].end 375.43221875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 375.51659375
transcript.pyannote[103].end 377.52471875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 377.98034375
transcript.pyannote[104].end 383.81909375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 384.66284375
transcript.pyannote[105].end 392.08784375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 388.88159375
transcript.pyannote[106].end 390.07971875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 391.27784375
transcript.pyannote[107].end 398.02784375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 397.94346875
transcript.pyannote[108].end 406.16159375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 402.95534375
transcript.pyannote[109].end 403.27596875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 405.28409375
transcript.pyannote[110].end 413.23221875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 413.48534375
transcript.pyannote[111].end 415.74659375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 416.50596875
transcript.pyannote[112].end 426.88409375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 425.02784375
transcript.pyannote[113].end 425.71971875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 426.39471875
transcript.pyannote[114].end 438.20721875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 437.81909375
transcript.pyannote[115].end 444.56909375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 444.72096875
transcript.pyannote[116].end 448.61909375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 448.16346875
transcript.pyannote[117].end 466.82721875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 466.82721875
transcript.pyannote[118].end 470.26971875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 470.47221875
transcript.pyannote[119].end 472.10909375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 472.34534375
transcript.pyannote[120].end 485.62596875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 486.19971875
transcript.pyannote[121].end 499.59846875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 500.40846875
transcript.pyannote[122].end 505.43721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 505.20096875
transcript.pyannote[123].end 506.93909375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 507.69846875
transcript.pyannote[124].end 508.32284375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 508.32284375
transcript.pyannote[125].end 513.90846875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 509.01471875
transcript.pyannote[126].end 509.43659375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 514.43159375
transcript.pyannote[127].end 517.46909375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 517.87409375
transcript.pyannote[128].end 519.83159375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 521.02971875
transcript.pyannote[129].end 526.41284375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 521.89034375
transcript.pyannote[130].end 522.22784375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 524.50596875
transcript.pyannote[131].end 526.36221875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 527.45909375
transcript.pyannote[132].end 528.13409375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 527.57721875
transcript.pyannote[133].end 528.10034375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 528.13409375
transcript.pyannote[134].end 528.70784375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 528.70784375
transcript.pyannote[135].end 538.56284375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 539.01846875
transcript.pyannote[136].end 540.13221875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 540.18284375
transcript.pyannote[137].end 543.99659375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 544.38471875
transcript.pyannote[138].end 545.53221875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 546.07221875
transcript.pyannote[139].end 549.44721875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 549.44721875
transcript.pyannote[140].end 549.59909375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 549.59909375
transcript.pyannote[141].end 549.61596875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 549.61596875
transcript.pyannote[142].end 558.64409375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 549.66659375
transcript.pyannote[143].end 550.66221875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 558.98159375
transcript.pyannote[144].end 559.55534375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 559.55534375
transcript.pyannote[145].end 560.83784375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 560.66909375
transcript.pyannote[146].end 561.24284375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 561.24284375
transcript.pyannote[147].end 563.85846875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 561.39471875
transcript.pyannote[148].end 561.56346875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 561.63096875
transcript.pyannote[149].end 561.64784375
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 564.31409375
transcript.pyannote[150].end 569.91659375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 569.20784375
transcript.pyannote[151].end 569.93346875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 569.93346875
transcript.pyannote[152].end 569.96721875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 569.96721875
transcript.pyannote[153].end 570.32159375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 570.32159375
transcript.pyannote[154].end 570.47346875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 570.47346875
transcript.pyannote[155].end 575.13096875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 570.49034375
transcript.pyannote[156].end 570.76034375
transcript.whisperx[0].start 25.803
transcript.whisperx[0].end 51.091
transcript.whisperx[0].text 謝謝主席 部長就坐著啦部長 高麗菜啊 今年高麗菜啊產量過剩那個價格價格大跌現在這個農民很辛苦而且無助所以啊最近啊我一方面為了幫助這個幫助這個農民一方面也幫我們嘉義鄉親加菜 所以我這禮拜
transcript.whisperx[1].start 53.374
transcript.whisperx[1].end 81.572
transcript.whisperx[1].text 我就買了一些高麗菜回去送給這個鄉親 讓這個農民不要那麼辛苦不要那麼辛苦那透過八位里長在家裡來領的人也很多那很多農民就在問齊凱一件事情 他就說要靜靜 要靜的時候農業部應該可以適度跟他們提醒可是我看了一下 現在有兩個大的問題你看喔 來我們看下一張來 你看一下
transcript.whisperx[2].start 82.845
transcript.whisperx[2].end 108.493
transcript.whisperx[2].text 除了燈號之外 我看你們花了五個紅燈然後三個黃燈以後 後來紅燈又掉下來嘛那很多專家寫者就在建議啊他說高麗菜差不多等年都有產銷適合這個事情嘛對不對啊 幾乎每年都發生啊那農業部能不能在這個外銷上面多去幫助農民尤其是東北亞這個亞洲的這個東北亞很多都需要一些蔬菜嘛 因為高麗菜這個農業部可以做嗎
transcript.whisperx[3].start 109.858
transcript.whisperx[3].end 136.876
transcript.whisperx[3].text 我跟你們報告第一個部分就是我們相對的如果到了東南亞東北亞日本還有韓國還有機會有一部分但是那個量比較少因為我們的高利貸的硬度跟國外的是不太一樣的部分但是成本的問題是比較困難但是我們還是會努力拉一些外交的還有一些簡易的問題我去探討以後我發現外交是一條很重要的路你看看
transcript.whisperx[4].start 139.831
transcript.whisperx[4].end 150.943
transcript.whisperx[4].text 下一張那個整個那個外銷台你看其實陳吉仲在1862年他曾經提過他跟全民宣誓說在108年的時候啊我們外銷農產品的這個
transcript.whisperx[5].start 153.55
transcript.whisperx[5].end 174.372
transcript.whisperx[5].text 金額要達到60億美金 你看喔這條就是我們外銷歷年來從民國100年一直到112年農產品外銷的十幾年來都是幾乎是一個平的線而且到了最近這幾年還是往下降沒有達到陳其中當初跟全民保證跟農民保證了
transcript.whisperx[6].start 176.161
transcript.whisperx[6].end 187.062
transcript.whisperx[6].text 60億美金沒有一年達到對不對你看這個108年也沒有達到然後更嚴重的所以這幾年還在掉外銷外銷這部分能不能趕快加強好不好
transcript.whisperx[7].start 189.073
transcript.whisperx[7].end 214.807
transcript.whisperx[7].text 我跟委員報告這幾年外銷有稍微下滑那最主要幾個因素就是第一個部分就是因為其實去年跟特別是去年跟今年我們遇到很多颱風我們自己的生命就不太夠了有沒有因為外銷的這些品項受到因為颱風的影響所以減少了部分所以這個部分我想我們還會更精準的去走高端市場讓他的量比較少但是他的價格是不是可以比較高一點來維持這個我們會來努力
transcript.whisperx[8].start 216.869
transcript.whisperx[8].end 221.557
transcript.whisperx[8].text 增加量,然後你講的很好,就是包括價格要提升,因為你隔壁財來看它在107年你看曾經7645結果到了
transcript.whisperx[9].start 229.707
transcript.whisperx[9].end 248.481
transcript.whisperx[9].text 113年竟然只剩下它十分之一然後講這個萎縮得太嚴重了那另外有一個點農民在反映的農民在外銷可以多幫他們的這個同時現在好像很多都是後來就買去就是當成那個多元循環經濟就是當肥料了
transcript.whisperx[10].start 250.399
transcript.whisperx[10].end 276.405
transcript.whisperx[10].text 我想甘藍的部分我們不做去化的部分因為甘藍的部分第一個就是我們有一些警示而且我們很多也發簡訊發到農民的手中那威華你也知道嗎因為甘藍的部分如果說維持在10塊上下過去都是因為他們都認為說量多的時候政府就會出手所以他就不斷的種多啦所以現在目前大概12塊吧現在
transcript.whisperx[11].start 278.145
transcript.whisperx[11].end 305.952
transcript.whisperx[11].text 12到15之間現在是比較穩定當然前一段時間量比較多的話是也比較節12到15這真的很慘對不對12到15應該是一個合理的利率對啦那剛才外銷其實你看剛才的外銷其實這幾年的外銷還是有成長我們會來努力就是拉到其他的國家但是檢疫的問題可能要更慎重來處理農民在歡迎說你現在去其實我包括高麗菜有些都有拿去做那個去化你看100克白泥
transcript.whisperx[12].start 307.361
transcript.whisperx[12].end 325.651
transcript.whisperx[12].text 還有到113還有一些當然盡量減少我甚至說買回來不一定買回去還是可以做很多事情啊不只是外銷啊你還是可以做充分的利用以前那個香蕉比較多跟國防部都有些合作啊
transcript.whisperx[13].start 326.931
transcript.whisperx[13].end 354.968
transcript.whisperx[13].text 買回去如果只要有一個一定的用途那價格應該有一部分可以當加工的部分加工也可以用最重要最重要的就是讓他們的價格可以提升了解我們來講另外一個就是工糧收購工糧收購那時候通過了一公斤調高五塊錢之後博定你說怕調高之後生產會過剩可是我現在很明確明確給你看事實上去年調高之後
transcript.whisperx[14].start 356.124
transcript.whisperx[14].end 383.247
transcript.whisperx[14].text 到座的面積沒有升反而往下降對不對那是因為我們的糧食產業政策有沒有我剛才說的我們只處理福島收購價格然後相對的增加相對的供糧收購量而不是用五塊去所以用我們的政策很實際的現在的糧價就支撐在那邊而且繳供糧的反而變少了表示說用民糧的方式就可以來處理
transcript.whisperx[15].start 385.485
transcript.whisperx[15].end 403.147
transcript.whisperx[15].text 你跟農民講說一下子調高太多事實證明就沒有沒有啊那是因為我們的政策才造成這樣的而不是直接拉五塊拉五塊一定不是今天這個結果政策是一部分啦我現在是跟你講說你當初跟農民講說會很多人搶著走那就沒有嘛沒有
transcript.whisperx[16].start 404.148
transcript.whisperx[16].end 415.546
transcript.whisperx[16].text 從這個數據很清楚 就是面積更多的面積反而降委員 這個誤解喔我們是用我們的政策去推動才能夠獲得這樣的成果而不是用五塊錢直接加購五塊錢加購絕對不是今天這個成果
transcript.whisperx[17].start 416.564
transcript.whisperx[17].end 439.202
transcript.whisperx[17].text 喔不對喔 你那個五塊錢是朝野協商過了民進黨也說要退你那個現在只調了一塊八對不對你當然有某些政策啦可是你陸陸續續你有答應還要陸陸續續續還要再抬不管怎麼樣 不管委員的這些提案我們的重點就是讓農民的收益變多嘛然後現在用我們的政策讓農民的收益就已經變得很穩定而且變高這是大家願意看到的嘛升高了三分之一嘛
transcript.whisperx[18].start 439.682
transcript.whisperx[18].end 466.332
transcript.whisperx[18].text 有人做了統計說我們全國農民因為這個政策可能今年多收入可能有40億那現在就是要適度再增更你要三分還欠農民三分之二沒有 這個不能這樣講這不能這樣講因為您提的提案跟我們的提案目的就是讓農民所得保障跟提高用我們的政策除了保障水稻的農民也保障了一些種雜糧的部分所以大家一起提高那是我們共同期待看到的目標
transcript.whisperx[19].start 466.872
transcript.whisperx[19].end 484.86
transcript.whisperx[19].text 就是台灣民眾黨提案 國民黨也提案我們完成了立法院 民進黨也沒有反對啊所以是三黨通過的美工經驗調高五塊那你說你用的政策很好後來做了一個決策慢慢讓農民可以收入可以增加這是好的啦而且別提起你就是沒有出現你剛剛講以前在擔心什麼面積 身高這個問題更重要的
transcript.whisperx[20].start 486.421
transcript.whisperx[20].end 506.549
transcript.whisperx[20].text 適度還應該要再提高啦因為當初立法院通過的不要像那個行政院長說什麼我就不執行這樣不好會變成憲政一個危機來保證我另外問你一個問題那個米還是外銷的問題來講這個公糧跟米米的外銷這幾年表現得不好你像咖哩 咖哩在推動這個幸福的咖哩今年米的外銷很不錯啊
transcript.whisperx[21].start 507.785
transcript.whisperx[21].end 515.332
transcript.whisperx[21].text 非常好啊今年到目前為止我給你看下一張有嗎今年114年1月到10號有嗎只有110年的一半
transcript.whisperx[22].start 521.232
transcript.whisperx[22].end 545.367
transcript.whisperx[22].text 不可能 我覺得我們會後再給你資料我們今年的米特別好 今年的米特別好OK 今天米特別好啦 兩個啦 第一個就是在減少所以在外銷米方面在加強 這是第一個第二個 你看我們嘉義推動這個嘉義平和嘉義米這是嘉義市政府幫忙 黃米會他們幫忙啊 他們就推展到日本去啦
transcript.whisperx[23].start 546.387
transcript.whisperx[23].end 574.9
transcript.whisperx[23].text 地方政府都可以做那你的资源更多嘛对不对我想我们全台湾有非常多的米销到日本我们都有协助包括跟农会协助包括跟地方政府合作我们都有在做对会 我们会一起来努力台湾的米非常好你想一份就能省米啊那多推一些到日本去外销再多一点让我们的农民收入可以增加好不好好 我们会来努力谢谢张其凯委员的咨询谢谢部长我们请张家俊委员咨询