iVOD / 168518

Field Value
IVOD_ID 168518
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168518
日期 2026-04-15
會議資料.會議代碼 委員會-11-5-19-9
會議資料.會議代碼:str 第11屆第5會期經濟委員會第9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 9
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9次全體委員會議
影片種類 Clip
開始時間 2026-04-15T09:30:46+08:00
結束時間 2026-04-15T09:37:35+08:00
影片長度 00:06:49
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3ec77822e2e6eae3cc13891cf1d5e9a6354b0245b1feb432957eaa2632da1fa1bf58e434f61d1a005ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 09:30:46 - 09:37:35
會議時間 2026-04-15T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第9次全體委員會議(事由:邀請經濟部部長、國家發展委員會主任委員、運動部首長、教育部首長及財政部首長就「我國運動產業發展之政策規劃、人才培育、跨部會資源整合、相關租稅優惠執行成效、未來產值提升目標,及先進國家運動產業政策之分析比較」進行報告,並備質詢。 【4月15日及4月16日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.97596875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 16.66971875
transcript.pyannote[1].end 21.29346875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 21.37784375
transcript.pyannote[2].end 28.80284375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 23.62221875
transcript.pyannote[3].end 23.68971875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 23.68971875
transcript.pyannote[4].end 24.97221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 24.97221875
transcript.pyannote[5].end 25.25909375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 25.79909375
transcript.pyannote[6].end 26.57534375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 31.01346875
transcript.pyannote[7].end 33.71346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 34.03409375
transcript.pyannote[8].end 47.50034375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 47.70284375
transcript.pyannote[9].end 54.75659375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 54.97596875
transcript.pyannote[10].end 55.07721875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 55.07721875
transcript.pyannote[11].end 55.85346875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 55.85346875
transcript.pyannote[12].end 58.13159375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 59.04284375
transcript.pyannote[13].end 60.54471875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 60.69659375
transcript.pyannote[14].end 69.33659375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 69.96096875
transcript.pyannote[15].end 70.29846875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 70.48409375
transcript.pyannote[16].end 72.42471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 72.77909375
transcript.pyannote[17].end 73.87596875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 76.54221875
transcript.pyannote[18].end 82.97159375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 76.69409375
transcript.pyannote[19].end 77.47034375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 77.57159375
transcript.pyannote[20].end 78.33096875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 79.76534375
transcript.pyannote[21].end 80.00159375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 83.29221875
transcript.pyannote[22].end 87.54471875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 87.94971875
transcript.pyannote[23].end 93.23159375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 93.38346875
transcript.pyannote[24].end 95.62784375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 96.35346875
transcript.pyannote[25].end 98.56409375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 99.03659375
transcript.pyannote[26].end 102.36096875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 102.69846875
transcript.pyannote[27].end 104.77409375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 105.24659375
transcript.pyannote[28].end 108.04784375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 108.36846875
transcript.pyannote[29].end 111.33846875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 111.57471875
transcript.pyannote[30].end 114.25784375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 114.69659375
transcript.pyannote[31].end 115.37159375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 115.57409375
transcript.pyannote[32].end 115.92846875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 116.36721875
transcript.pyannote[33].end 126.66096875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 126.89721875
transcript.pyannote[34].end 131.38596875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 131.63909375
transcript.pyannote[35].end 132.29721875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 132.71909375
transcript.pyannote[36].end 137.57909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 137.68034375
transcript.pyannote[37].end 140.43096875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 140.95409375
transcript.pyannote[38].end 149.91471875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 150.03284375
transcript.pyannote[39].end 153.91409375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 154.38659375
transcript.pyannote[40].end 157.13721875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 157.49159375
transcript.pyannote[41].end 160.02284375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 160.14096875
transcript.pyannote[42].end 161.08596875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 162.11534375
transcript.pyannote[43].end 165.27096875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 165.60846875
transcript.pyannote[44].end 166.23284375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 165.94596875
transcript.pyannote[45].end 170.99159375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 171.31221875
transcript.pyannote[46].end 174.26534375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 174.85596875
transcript.pyannote[47].end 181.85909375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 182.43284375
transcript.pyannote[48].end 182.85471875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 182.85471875
transcript.pyannote[49].end 185.45346875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 185.74034375
transcript.pyannote[50].end 188.13659375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 188.25471875
transcript.pyannote[51].end 193.72221875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 194.24534375
transcript.pyannote[52].end 198.22784375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 198.91971875
transcript.pyannote[53].end 203.54346875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 203.88096875
transcript.pyannote[54].end 210.20909375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 210.71534375
transcript.pyannote[55].end 211.44096875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 211.71096875
transcript.pyannote[56].end 213.02721875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 213.02721875
transcript.pyannote[57].end 213.04409375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 213.09471875
transcript.pyannote[58].end 214.03971875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 213.28034375
transcript.pyannote[59].end 214.05659375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 214.05659375
transcript.pyannote[60].end 214.09034375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 214.09034375
transcript.pyannote[61].end 222.02159375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 221.32971875
transcript.pyannote[62].end 234.47534375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 234.57659375
transcript.pyannote[63].end 236.71971875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 237.04034375
transcript.pyannote[64].end 242.33909375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 242.44034375
transcript.pyannote[65].end 245.52846875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 246.18659375
transcript.pyannote[66].end 247.60409375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 247.94159375
transcript.pyannote[67].end 253.13909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 249.98346875
transcript.pyannote[68].end 250.10159375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 253.13909375
transcript.pyannote[69].end 253.17284375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 253.17284375
transcript.pyannote[70].end 257.17221875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 257.94846875
transcript.pyannote[71].end 261.23909375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 260.07471875
transcript.pyannote[72].end 262.70721875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 262.53846875
transcript.pyannote[73].end 272.84909375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 270.68909375
transcript.pyannote[74].end 286.26471875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 286.34909375
transcript.pyannote[75].end 286.70346875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 286.68659375
transcript.pyannote[76].end 290.11221875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 290.43284375
transcript.pyannote[77].end 293.97659375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 294.11159375
transcript.pyannote[78].end 295.36034375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 295.69784375
transcript.pyannote[79].end 299.49471875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 299.79846875
transcript.pyannote[80].end 301.41846875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 302.27909375
transcript.pyannote[81].end 309.19784375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 309.82221875
transcript.pyannote[82].end 314.49659375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 311.00346875
transcript.pyannote[83].end 312.11721875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 314.95221875
transcript.pyannote[84].end 315.71159375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 316.58909375
transcript.pyannote[85].end 318.90096875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 319.72784375
transcript.pyannote[86].end 324.75659375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 321.97221875
transcript.pyannote[87].end 322.00596875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 322.03971875
transcript.pyannote[88].end 322.10721875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 325.26284375
transcript.pyannote[89].end 325.80284375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 325.97159375
transcript.pyannote[90].end 326.91659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 326.42721875
transcript.pyannote[91].end 327.54096875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 327.40596875
transcript.pyannote[92].end 329.39721875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 330.12284375
transcript.pyannote[93].end 333.12659375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 333.16034375
transcript.pyannote[94].end 333.32909375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 334.02096875
transcript.pyannote[95].end 336.61971875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 337.05846875
transcript.pyannote[96].end 337.86846875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 338.10471875
transcript.pyannote[97].end 338.89784375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 339.13409375
transcript.pyannote[98].end 342.17159375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 342.45846875
transcript.pyannote[99].end 344.85471875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 345.58034375
transcript.pyannote[100].end 346.27221875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 346.55909375
transcript.pyannote[101].end 348.87096875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 349.05659375
transcript.pyannote[102].end 353.07284375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 351.31784375
transcript.pyannote[103].end 353.49471875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 354.03471875
transcript.pyannote[104].end 365.88096875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 366.31971875
transcript.pyannote[105].end 370.63971875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 371.02784375
transcript.pyannote[106].end 374.30159375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 374.52096875
transcript.pyannote[107].end 376.84971875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 377.11971875
transcript.pyannote[108].end 381.64221875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 381.82784375
transcript.pyannote[109].end 388.30784375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 388.61159375
transcript.pyannote[110].end 391.95284375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 392.22284375
transcript.pyannote[111].end 392.44221875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 392.59409375
transcript.pyannote[112].end 398.73659375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 395.88471875
transcript.pyannote[113].end 396.82971875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 397.48784375
transcript.pyannote[114].end 398.55096875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 398.73659375
transcript.pyannote[115].end 404.50784375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 399.49596875
transcript.pyannote[116].end 401.14971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 403.29284375
transcript.pyannote[117].end 407.15721875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 408.45659375
transcript.pyannote[118].end 409.94159375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 410.31284375
transcript.pyannote[119].end 410.65034375
transcript.whisperx[0].start 0.209
transcript.whisperx[0].end 26.551
transcript.whisperx[0].text 總統嘉賓委員質詢主席在讓委員監禁列席的政府局長、首長、官員、會長、公眾夥伴、媒體、記者、女士、先生有請國發會業主委、經濟部核次長以及運動部的黃次長運動部黃次長
transcript.whisperx[1].start 31.052
transcript.whisperx[1].end 57.967
transcript.whisperx[1].text 委員長主委好 兩位次長好今天我們要來運動健康產業的提升國家競爭力會不會要強化投資支付研究來 先請那個運動部的次長你做那個標準答案的公布人那先請到葉主委跟那個何次長請問職棒運動 電競運動跟健身運動哪一個有運動產業請教葉主委你認為只能選一個你覺得哪一個比較像沒有 三個都是沒有 只能如果要你挑一個你覺得哪一個是
transcript.whisperx[2].start 59.81
transcript.whisperx[2].end 68.994
transcript.whisperx[2].text 你心目中的我心目中喔可能棒球直棒運動好來請問何市長如果你只挑一個有運動產業的你會挑哪一個也是直棒來運動部黃市長你認為哪一個是有運動產業
transcript.whisperx[3].start 76.887
transcript.whisperx[3].end 95.354
transcript.whisperx[3].text 講不出來 你心目中不能只講一個 你要說三個都是如果說未來發展性 我會選健康運動很好 謝謝 我很欣賞黃次長我告訴兩位主委跟次長 職棒運動有產業嗎有啦 有一點官商產業啦 有職棒啦 有竹廠啦這是手套球衣球鞋誰在做
transcript.whisperx[4].start 96.394
transcript.whisperx[4].end 126.254
transcript.whisperx[4].text 台灣的手套廠都做在菲律賓啦你說電競運動有沒有產業有啊我們的PC我們的筆電先有這些產業才有電競對不對這是很特別的健身運動呢它有什麼它兩邊都有我們有按摩椅有跑步機外銷我們也有很多的Wall Gym健身中心四處開是不是這樣子所以我認為黃次長的答案比較接近跟我一樣我不是說你們另外兩個錯好所以經濟部跟國發會今天召委排了這麼重要的題目我相信召委心中也有他的答案
transcript.whisperx[5].start 126.954
transcript.whisperx[5].end 153.72
transcript.whisperx[5].text 但是對運動產業定義為何涉及到我們的產業政策往下看來競技觀賞型的運動產業職棒很典型有觀眾入場有門票修路有球場營運舉辦賽事有周邊產業有紀念商品有運動產品好那哪一種是產業上面的是產業嗎上面是產業啊上面有收入嗎下面呢下面是製造業但是呢很多都不是台灣自己的還是運動產業不限定是觀賞型跟競技型的往下看
transcript.whisperx[6].start 154.48
transcript.whisperx[6].end 173.634
transcript.whisperx[6].text 所以我們來看一下生病就醫全民健保那我們發展的是什麼醫療藥品醫材主委是不是這樣子如果我們生病就醫全民健保後我們後面這三個會出來嗎會但是如果我們要運動促進身體健康提升體適能弱方預防醫學是不是就跑出了另外一個叫做運動健康產業
transcript.whisperx[7].start 174.895
transcript.whisperx[7].end 198.022
transcript.whisperx[7].text 我看後面黃次長點頭點得很用力請問就醫或運動哪一個是真正的健康主委如果給你選你要選擇就醫還是選擇運動運動當然啊所以就在這裡嘛好往下看所以呢我們要提高人口品質提高人口競爭力擴大發展運動健康產業提升我們的健康餘命就可以提高我們人口的健康品質對不對那如果我們的健康餘命提升我們全民的全生涯的生產力會不會提高
transcript.whisperx[8].start 199.371
transcript.whisperx[8].end 221.902
transcript.whisperx[8].text 所以這是增加我們全國人口的生產競爭力所以如果運動產業可以變成運動健康產業提高健康餘命請問國安法有沒有做過統計可以提升多少競爭力減少多少醫療資源的損耗有沒有做過研究這個部分還沒有但是還沒有趕快做但是我們國發基金其實是有在想說預防醫學這一塊其實是可以推廣一下
transcript.whisperx[9].start 222.182
transcript.whisperx[9].end 242.037
transcript.whisperx[9].text 但是今天呢我們不談醫學我們談運動這是我們召委排這個題目的意思所以我想把運動跟健康連在一起事實上是可以對國會來講是對國家的目標之一好不好好接下來往下看來我們請教一下何市長好我們運動健康產業製造跟服務兼顧你來看一下讓你來猜猜看何市長
transcript.whisperx[10].start 242.617
transcript.whisperx[10].end 256.846
transcript.whisperx[10].text 如果我們擴大發展運動健康產業製造業是不是有一些穿戴裝置會有一些體能的監測儀器這是經濟部熟悉的產業面嘛對不對但是在服務面上會有健康管理的需求對不對會有專業教練服務對不對請問這個部分經濟部使得上利嗎
transcript.whisperx[11].start 258.604
transcript.whisperx[11].end 283.223
transcript.whisperx[11].text 這個部分其實我們現在有一些業者好像比較是跟運動部跟教育部有關嘛是但是我們也有結合這些醫療機構做一些比方說健康管理平台是所以你發現如果在服務面上好像有點脫離了經濟部擅長的製造業的範疇進入到商業服務業的領域需要運動部跟教育部共同合作包括人才的培養包括一些標準的制定對不對
transcript.whisperx[12].start 286.965
transcript.whisperx[12].end 314.434
transcript.whisperx[12].text 對後面廠長又點頭了因為標準的制定是他們運動部的好往下看所以呢我來請教一下你知不知道有個商業發展研究院對你知道他們有做過這個嗎運動健康產業的發展嗎他們去東京考察他們還提供了建言請問經濟部有沒有收到這份報告商業發展研究院他的運動健康的智慧服務研究所協助政府推動運動大健康產業有沒有我回去了解一下回去了解有啦有給經濟部只是呢很遺憾的往下看來請問一下
transcript.whisperx[13].start 316.638
transcript.whisperx[13].end 344.585
transcript.whisperx[13].text 市長 你知道工研院一年的預算規模多少嗎294億我寫出來了嘛 應該跟你人人差不多嘛經濟部貢獻多少相當多嘛非常多啦沒錯 你知道商業院的預算規模多少嗎上面寫3億元零頭都不到啊可是我們看一下工業人口占全國多少 3乘5啊服務業人口呢 6乘5啊經濟部 你會不會覺得對這兩個你的智庫你是不是要稍微再多掐牆哪一個
transcript.whisperx[14].start 345.609
transcript.whisperx[14].end 351.911
transcript.whisperx[14].text 所以我們今天談運動產業不要狹隘的定義在競技型觀賞型的運動要思考到對國家競爭力生產力有幫助的這個國發下去好我的結論兩位
transcript.whisperx[15].start 366.494
transcript.whisperx[15].end 387.612
transcript.whisperx[15].text 國外評估 運動健康產業可以提升多少人口競爭力 減少多少醫療資源 可不可以評估可以嗎 國發會 來 大概可不可以給我一個報告 簡單的報告很快的給我 讓我知道你們有在進行研究好 我們那個會後我們大概多久 一個月 兩個月 三個月 一年 兩年 三年一個月好不好好 可以了 如果你三年的話就要偏年任了好 一個月 好 那拜託 來 何市長
transcript.whisperx[16].start 388.653
transcript.whisperx[16].end 403.284
transcript.whisperx[16].text 那如果善用智庫除了公園之外你要不要好好的運用一下商園院好可以嗎 可以增加對他投資嗎我們回去再很簡單會就好了嘛你增加一塊錢我也接受啊是 我們當然就會對這些智庫單位都會做這個支持好 你說會我就會好 謝謝那謝謝黃次長給標準答案謝謝 謝謝主委時間掌握非常精確