iVOD / 157485

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4b9db3dc7042177a9f059176c1a92544bebea231f805397be54b9bd157483afa9f1cec6797e0d8ea5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃建賓
委員發言時間 10:17:30 - 10:25:38
影片長度 488
會議時間 2024-11-27T09:00:00+08:00
會議名稱 立法院第11屆第2會期內政委員會第12次全體委員會議(事由:11月27日(星期三)、28日(星期四)一、邀請海洋委員會主任委員率同所屬列席報告業務概況,並備質詢。二、審查114年度中央政府總預算案關於海洋委員會部分。三、審查114年度中央政府總預算案關於海洋委員會海巡署及所屬、海洋委員會海洋保育署、國家海洋研究院部分。四、審查114年度中央政府總預算案附屬單位預算非營業部分關於海洋委員會主管特別收入基金-海洋污染防治基金。 備註:113年11月25日(星期一)、27日(星期三)、28日(星期四)【三天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 7.82721875
transcript.pyannote[0].end 9.24471875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 8.87346875
transcript.pyannote[1].end 9.00846875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 9.70034375
transcript.pyannote[2].end 12.82221875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 13.04159375
transcript.pyannote[3].end 14.69534375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 14.12159375
transcript.pyannote[4].end 14.59409375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 15.03284375
transcript.pyannote[5].end 27.33471875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 27.73971875
transcript.pyannote[6].end 30.91221875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 31.35096875
transcript.pyannote[7].end 33.10596875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 33.46034375
transcript.pyannote[8].end 51.68534375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 48.58034375
transcript.pyannote[9].end 48.64784375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 52.02284375
transcript.pyannote[10].end 57.57471875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 57.91221875
transcript.pyannote[11].end 59.22846875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 59.39721875
transcript.pyannote[12].end 65.74221875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 59.76846875
transcript.pyannote[13].end 59.83596875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 65.80971875
transcript.pyannote[14].end 70.73721875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 71.26034375
transcript.pyannote[15].end 75.59721875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 75.86721875
transcript.pyannote[16].end 82.19534375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 82.41471875
transcript.pyannote[17].end 113.90346875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 114.27471875
transcript.pyannote[18].end 122.35784375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 122.76284375
transcript.pyannote[19].end 129.10784375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 129.68159375
transcript.pyannote[20].end 152.76659375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 153.40784375
transcript.pyannote[21].end 157.69409375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 158.09909375
transcript.pyannote[22].end 161.96346875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 162.45284375
transcript.pyannote[23].end 177.84284375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 177.92721875
transcript.pyannote[24].end 183.37784375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 184.06971875
transcript.pyannote[25].end 189.04784375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 189.58784375
transcript.pyannote[26].end 193.63784375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 194.26221875
transcript.pyannote[27].end 197.19846875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 197.48534375
transcript.pyannote[28].end 214.91721875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 215.91284375
transcript.pyannote[29].end 219.65909375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 219.97971875
transcript.pyannote[30].end 221.46471875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 221.81909375
transcript.pyannote[31].end 225.59909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 226.52721875
transcript.pyannote[32].end 228.41721875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 228.88971875
transcript.pyannote[33].end 230.47596875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 230.84721875
transcript.pyannote[34].end 236.31471875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 236.23034375
transcript.pyannote[35].end 241.51221875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 239.09909375
transcript.pyannote[36].end 245.81534375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 245.61284375
transcript.pyannote[37].end 249.49409375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 248.88659375
transcript.pyannote[38].end 262.15034375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 261.64409375
transcript.pyannote[39].end 273.99659375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 270.33471875
transcript.pyannote[40].end 270.43596875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 270.46971875
transcript.pyannote[41].end 270.52034375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 271.38096875
transcript.pyannote[42].end 271.90409375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 273.13596875
transcript.pyannote[43].end 277.84409375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 275.00909375
transcript.pyannote[44].end 278.92409375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 278.92409375
transcript.pyannote[45].end 292.54221875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 280.61159375
transcript.pyannote[46].end 280.96596875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 290.98971875
transcript.pyannote[47].end 313.21409375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 293.21721875
transcript.pyannote[48].end 295.49534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 302.92034375
transcript.pyannote[49].end 303.34221875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 307.10534375
transcript.pyannote[50].end 309.55221875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 312.11721875
transcript.pyannote[51].end 317.34846875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 313.72034375
transcript.pyannote[52].end 313.93971875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 315.15471875
transcript.pyannote[53].end 316.16721875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 316.21784375
transcript.pyannote[54].end 316.25159375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 316.31909375
transcript.pyannote[55].end 331.11846875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 322.07346875
transcript.pyannote[56].end 322.57971875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 326.51159375
transcript.pyannote[57].end 326.84909375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 330.46034375
transcript.pyannote[58].end 355.60409375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 331.96221875
transcript.pyannote[59].end 332.45159375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 332.72159375
transcript.pyannote[60].end 332.94096875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 334.22346875
transcript.pyannote[61].end 335.57346875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 355.62096875
transcript.pyannote[62].end 359.63721875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 357.93284375
transcript.pyannote[63].end 361.24034375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 360.80159375
transcript.pyannote[64].end 362.80971875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 362.16846875
transcript.pyannote[65].end 365.45909375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 363.95721875
transcript.pyannote[66].end 365.57721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 365.91471875
transcript.pyannote[67].end 375.90471875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 365.96534375
transcript.pyannote[68].end 367.43346875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 368.04096875
transcript.pyannote[69].end 368.64846875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 374.57159375
transcript.pyannote[70].end 375.26346875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 375.51659375
transcript.pyannote[71].end 377.49096875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 376.27596875
transcript.pyannote[72].end 376.56284375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 377.74409375
transcript.pyannote[73].end 379.33034375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 379.75221875
transcript.pyannote[74].end 382.30034375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 382.41846875
transcript.pyannote[75].end 384.10596875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 384.39284375
transcript.pyannote[76].end 401.08221875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 398.02784375
transcript.pyannote[77].end 403.90034375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 402.83721875
transcript.pyannote[78].end 404.03534375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 404.84534375
transcript.pyannote[79].end 410.27909375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 408.05159375
transcript.pyannote[80].end 408.81096875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 409.21596875
transcript.pyannote[81].end 411.12284375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 410.63346875
transcript.pyannote[82].end 436.89096875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 436.53659375
transcript.pyannote[83].end 447.94409375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 448.26471875
transcript.pyannote[84].end 456.44909375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 451.33596875
transcript.pyannote[85].end 453.00659375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 453.61409375
transcript.pyannote[86].end 453.69846875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 455.84159375
transcript.pyannote[87].end 456.36471875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 457.15784375
transcript.pyannote[88].end 462.11909375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 457.27596875
transcript.pyannote[89].end 457.52909375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 459.19971875
transcript.pyannote[90].end 459.28409375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 462.18659375
transcript.pyannote[91].end 471.56909375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 467.04659375
transcript.pyannote[92].end 467.48534375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 470.11784375
transcript.pyannote[93].end 478.99409375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 476.46284375
transcript.pyannote[94].end 477.50909375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 478.15034375
transcript.pyannote[95].end 478.30221875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 479.28096875
transcript.pyannote[96].end 487.97159375
transcript.whisperx[0].start 7.864
transcript.whisperx[0].end 30.384
transcript.whisperx[0].text 管主委,我們今天是海洋委員會的報告跟審查相關的預算。本市有在這裡有整個整個議程的部分,還有整個重點要跟主委來討論。我們都希望第一個,我們要確保第一線的人員,我們海巡弟兄的權益能夠有保障,而且讓我們海洋委員會能夠做好海洋守護。
transcript.whisperx[1].start 31.405
transcript.whisperx[1].end 46.741
transcript.whisperx[1].text 海洋保育的相關工作。我想同時也要守護好每一個納稅人的每一分錢。不要做過多的浪費。讓我們海洋委員會的業務能夠推動得更順暢。對於媒體預算暴增的部分也跟主委來討論。
transcript.whisperx[2].start 48.823
transcript.whisperx[2].end 69.499
transcript.whisperx[2].text 這次總預算的審查,各界詬病的就是我們中央政府在媒體、政策、還有業務宣傳不斷地增加。特別你在114年,整個直接飆漲到了將近15億,跟上個年度比起來將近增加6億,我是說全中央部分。
transcript.whisperx[3].start 71.34
transcript.whisperx[3].end 74.101
transcript.whisperx[3].text 三、審查114年度中央政府總預算案關於海洋委員會海巡署及所屬、海
transcript.whisperx[4].start 87.606
transcript.whisperx[4].end 113.112
transcript.whisperx[4].text 還有會被點名是媒體預算暴增的五大部會之一我們113年的預算是404萬元我們在114年的預算高達了1609萬增加1250萬那暴增率高達三倍我想真的有必要好好來檢討我們相關媒體宣傳的效果包括出息率、收視率等評估我們絕對不能亂花人民的納稅錢
transcript.whisperx[5].start 114.673
transcript.whisperx[5].end 126.268
transcript.whisperx[5].text 二、成立海廢國家隊,就是海洋廢水物治理國家隊部件印太區域海廢治理平台的發展計畫,總計高達一億兩千萬元。
transcript.whisperx[6].start 129.733
transcript.whisperx[6].end 148.987
transcript.whisperx[6].text 本席絕對支持政府挹注資源在清理我們這個海洋廢棄物因為我們台灣是一個市民環害我們是一個市民環害的海洋國家那海洋保育工作做好是很重要的事情那問題是中央政府到現在成立多少的國家隊成效在哪邊從我們早期的現在近期的打造國家隊、雞蛋國家隊、快篩國家隊、口罩國家隊這麼多國家隊
transcript.whisperx[7].start 153.49
transcript.whisperx[7].end 182.87
transcript.whisperx[7].text 相關的政策跟預算執行的效能都引發很多的爭議所以本期也希望我們中央務必要好好審視相關的預算跟資源最重要是能夠跨部會的合作尤其是讓資源能夠共享因為其實有時候我們常常看到每個部會都有編的錢其實到後面發現大概在做同樣類似的事情我想這樣是跌床架屋是不斷增加預算那關於我們海費國家隊的計畫、目標跟做法也應該要更加明確
transcript.whisperx[8].start 184.07
transcript.whisperx[8].end 185.912
transcript.whisperx[8].text 三、審查114年度中央政府總預算案關於海巡署及所屬、海
transcript.whisperx[9].start 206.986
transcript.whisperx[9].end 210.65
transcript.whisperx[9].text 二、審查114年度中央政府總預算案關於海洋委員會海巡署及所屬、海洋委員會海
transcript.whisperx[10].start 226.548
transcript.whisperx[10].end 227.429
transcript.whisperx[10].text 三、審查114年度中央政府總預算案關於海巡署及所屬、海
transcript.whisperx[11].start 242.029
transcript.whisperx[11].end 243.47
transcript.whisperx[11].text 三、審查114年度中央政府總預算案關於海巡署及所屬、海
transcript.whisperx[12].start 262.396
transcript.whisperx[12].end 263.878
transcript.whisperx[12].text 三、審查114年度中央政府總預算案關於海巡署及所屬、海
transcript.whisperx[13].start 278.976
transcript.whisperx[13].end 280.817
transcript.whisperx[13].text 三、審查114年度中央政府總預算案關於海巡署及所屬、海
transcript.whisperx[14].start 295.461
transcript.whisperx[14].end 296.361
transcript.whisperx[14].text 海巡署及所屬、海巡署及所屬、海
transcript.whisperx[15].start 320.367
transcript.whisperx[15].end 321.188
transcript.whisperx[15].text 海洋委員會海巡署及所屬、海
transcript.whisperx[16].start 346.383
transcript.whisperx[16].end 348.084
transcript.whisperx[16].text 三、審查114年度中央政府總預算案關於海洋委員會海巡署及所屬、海
transcript.whisperx[17].start 365.999
transcript.whisperx[17].end 369.082
transcript.whisperx[17].text 二、審查114年度中央政府總預算案關於海巡署及所屬、海
transcript.whisperx[18].start 382.915
transcript.whisperx[18].end 387.698
transcript.whisperx[18].text 希望海洋委員會可以請到海洋委員會的工作人員來跟我們申請。我們這主要都由地方政府來申請的。我擁有說,去訪民的醫生一定要向鄉長這樣。台東府當局,我絕對管理來合作這件事情。因為其實台東府海洋縣...
transcript.whisperx[19].start 404.895
transcript.whisperx[19].end 433.487
transcript.whisperx[19].text 我們整個海岸線169從南到北169再加上南離跟綠島這兩個離島我們等是全台灣最多海岸線的縣市但是既然身為海洋國家對海洋的保育其實是相對的是重要因為我們有非常豐富的海洋資源那這個海霧不但是影響整個海洋生態而且影響到我們整個景觀像我們綠島那個貝殼沙海岸我想這個都是很好的海洋觀光資源所以在這部分希望能夠
transcript.whisperx[20].start 434.267
transcript.whisperx[20].end 436.708
transcript.whisperx[20].text 委員會也能加強在這部分的協助。
transcript.whisperx[21].start 457.236
transcript.whisperx[21].end 459.558
transcript.whisperx[21].text 三、審查114年度中央政府總預算案關於海洋委員會海巡署及所屬、海洋委員會
transcript.whisperx[22].start 479.412
transcript.whisperx[22].end 479.792
transcript.whisperx[22].text 謝謝!感謝黃建斌委員的質詢,聽到很感興趣。
IVOD_ID 157485
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157485
日期 2024-11-27
會議資料.會議代碼 委員會-11-2-15-12
會議資料.屆 11
會議資料.會期 2
會議資料.會次 12
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.標題 第11屆第2會期內政委員會第12次全體委員會議
影片種類 Clip
開始時間 2024-11-27T10:17:30+08:00
結束時間 2024-11-27T10:25:38+08:00
支援功能[0] ai-transcript