iVOD / 159004

Field Value
IVOD_ID 159004
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159004
日期 2025-03-10
影片種類 Clip
開始時間 2025-03-10T11:08:51+08:00
結束時間 2025-03-10T11:14:29+08:00
影片長度 00:05:38
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5af45c57212fc71ae0732eff6d2460c06f734be2084bd5a052f5f368430341d173918cfeb3a2548d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 11:08:51 - 11:14:29
會議時間 2025-03-10T09:00:00+08:00
會議名稱 立法院第11屆第3會期財政委員會第1次公聽會(事由:召開「稅收超徵還稅於民」公聽會)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 4.62096875
transcript.pyannote[0].end 5.46471875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 5.86971875
transcript.pyannote[1].end 8.56971875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 9.00846875
transcript.pyannote[2].end 9.76784375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 9.93659375
transcript.pyannote[3].end 11.08409375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 12.06284375
transcript.pyannote[4].end 15.65721875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 15.91034375
transcript.pyannote[5].end 17.51346875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 17.69909375
transcript.pyannote[6].end 19.97721875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 20.44971875
transcript.pyannote[7].end 25.10721875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 25.69784375
transcript.pyannote[8].end 28.81971875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 29.49471875
transcript.pyannote[9].end 31.57034375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 32.02596875
transcript.pyannote[10].end 34.48971875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 34.65846875
transcript.pyannote[11].end 36.21096875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 36.81846875
transcript.pyannote[12].end 38.38784375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 38.99534375
transcript.pyannote[13].end 39.97409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 40.27784375
transcript.pyannote[14].end 41.25659375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 41.64471875
transcript.pyannote[15].end 43.01159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 43.73721875
transcript.pyannote[16].end 48.04034375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 48.27659375
transcript.pyannote[17].end 54.85784375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 55.56659375
transcript.pyannote[18].end 57.77721875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 58.16534375
transcript.pyannote[19].end 60.37596875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 61.33784375
transcript.pyannote[20].end 64.44284375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 64.69596875
transcript.pyannote[21].end 67.73346875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 67.95284375
transcript.pyannote[22].end 70.39971875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 70.85534375
transcript.pyannote[23].end 72.66096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 73.21784375
transcript.pyannote[24].end 73.72409375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 74.17971875
transcript.pyannote[25].end 75.90096875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 76.23846875
transcript.pyannote[26].end 77.21721875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 77.94284375
transcript.pyannote[27].end 79.32659375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 79.63034375
transcript.pyannote[28].end 83.22471875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 83.91659375
transcript.pyannote[29].end 86.98784375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 87.32534375
transcript.pyannote[30].end 91.91534375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 92.38784375
transcript.pyannote[31].end 93.24846875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 94.15971875
transcript.pyannote[32].end 94.58159375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 94.93596875
transcript.pyannote[33].end 96.96096875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 97.34909375
transcript.pyannote[34].end 100.01534375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 100.42034375
transcript.pyannote[35].end 100.74096875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 100.85909375
transcript.pyannote[36].end 102.25971875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 102.56346875
transcript.pyannote[37].end 103.84596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 104.08221875
transcript.pyannote[38].end 107.30534375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 107.74409375
transcript.pyannote[39].end 108.97596875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 109.33034375
transcript.pyannote[40].end 111.30471875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 112.03034375
transcript.pyannote[41].end 113.05971875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 113.56596875
transcript.pyannote[42].end 114.89909375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 115.43909375
transcript.pyannote[43].end 115.96221875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 117.09284375
transcript.pyannote[44].end 121.14284375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 121.59846875
transcript.pyannote[45].end 123.75846875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 124.09596875
transcript.pyannote[46].end 133.76534375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 134.28846875
transcript.pyannote[47].end 135.80721875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 136.34721875
transcript.pyannote[48].end 139.63784375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 140.34659375
transcript.pyannote[49].end 142.60784375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 142.96221875
transcript.pyannote[50].end 151.19721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 151.65284375
transcript.pyannote[51].end 155.04471875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 155.41596875
transcript.pyannote[52].end 156.36096875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 156.73221875
transcript.pyannote[53].end 158.55471875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 159.06096875
transcript.pyannote[54].end 162.70596875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 163.12784375
transcript.pyannote[55].end 165.05159375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 165.54096875
transcript.pyannote[56].end 167.88659375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 168.62909375
transcript.pyannote[57].end 170.14784375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 170.90721875
transcript.pyannote[58].end 172.05471875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 172.61159375
transcript.pyannote[59].end 173.72534375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 173.82659375
transcript.pyannote[60].end 176.56034375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 176.83034375
transcript.pyannote[61].end 181.67346875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 182.16284375
transcript.pyannote[62].end 184.18784375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 184.98096875
transcript.pyannote[63].end 199.17284375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 199.42596875
transcript.pyannote[64].end 218.34284375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 218.89971875
transcript.pyannote[65].end 220.55346875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 220.68846875
transcript.pyannote[66].end 223.01721875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 223.55721875
transcript.pyannote[67].end 225.63284375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 225.98721875
transcript.pyannote[68].end 232.14659375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 232.36596875
transcript.pyannote[69].end 233.74971875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 233.96909375
transcript.pyannote[70].end 234.91409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 235.36971875
transcript.pyannote[71].end 236.77034375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 237.44534375
transcript.pyannote[72].end 240.39846875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 240.90471875
transcript.pyannote[73].end 248.07659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 248.49846875
transcript.pyannote[74].end 249.51096875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 249.79784375
transcript.pyannote[75].end 251.83971875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 252.32909375
transcript.pyannote[76].end 259.21409375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 259.45034375
transcript.pyannote[77].end 271.24596875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 271.73534375
transcript.pyannote[78].end 275.31284375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 275.44784375
transcript.pyannote[79].end 277.21971875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 277.55721875
transcript.pyannote[80].end 278.63721875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 279.64971875
transcript.pyannote[81].end 284.89784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 285.21846875
transcript.pyannote[82].end 293.45346875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 293.77409375
transcript.pyannote[83].end 296.44034375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 296.64284375
transcript.pyannote[84].end 298.14471875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 298.46534375
transcript.pyannote[85].end 300.38909375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 300.82784375
transcript.pyannote[86].end 302.68409375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 303.19034375
transcript.pyannote[87].end 305.04659375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 305.23221875
transcript.pyannote[88].end 309.11346875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 309.31596875
transcript.pyannote[89].end 311.67846875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 318.63096875
transcript.pyannote[90].end 321.78659375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 322.30971875
transcript.pyannote[91].end 325.73534375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 326.15721875
transcript.pyannote[92].end 326.95034375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 328.16534375
transcript.pyannote[93].end 331.65846875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 331.89471875
transcript.pyannote[94].end 333.56534375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 333.85221875
transcript.pyannote[95].end 334.56096875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 334.89846875
transcript.pyannote[96].end 335.16846875
transcript.whisperx[0].start 4.916
transcript.whisperx[0].end 28.632
transcript.whisperx[0].text 謝謝主席剛剛恭迎我們學者專家的高見我相信都有他們的道理但是一個政策必須要能夠跟人民溝通從人民的經驗出發他才能理解政策為什麼這樣制定很簡單的兩句話我們的國家財政是量出為入當然收支預估應力求精準
transcript.whisperx[1].start 29.554
transcript.whisperx[1].end 54.543
transcript.whisperx[1].text 接下來若有剩餘那我個人認為是來年減增或強化施政接下來我舉一個很簡單的例子我們從小到大我們常常去揪團去旅遊揪團去旅遊的時候主揪人會說哎呀我們多退少補啊這次要去金輪洗溫泉一個人收一千塊估計我們大概一團出個二三十個人
transcript.whisperx[2].start 55.612
transcript.whisperx[2].end 82.219
transcript.whisperx[2].text 但是大家想想看如果你是主揪你是希望多退還是喜歡少補我要是主揪我不希望因為少了還要去補第二次跟人家收錢很麻煩我要先帶電通常會預估稍微寬一點點如果有剩下來的我在多退是不是這樣子那團員怎麼想團員才不會想要多退他最好少不補少了都你自己主揪帶電
transcript.whisperx[3].start 83.953
transcript.whisperx[3].end 110.971
transcript.whisperx[3].text 可以這樣子嗎?我們不知道,我們來往下看那麼什麼樣的人遇到這種情況會傾向當次就多退是什麼情況呢?馬上就退給我為什麼?他下次不想參加了,兩個原因第一個,他覺得這次品質不好,我花了一千塊雖然還剩一兩百塊,我下次不玩了或者我對揪團的團主、主揪不信任下次不跟你的團了,這樣的人就會要求馬上退給我
transcript.whisperx[4].start 112.079
transcript.whisperx[4].end 139.471
transcript.whisperx[4].text 但是什麼情況下會多不退呢完了還有剩餘但是大家覺得很滿意我們下次再辦一次吧那再辦一次的時候會怎麼用呢主揪上次一千塊有剩你下次就收八百塊就好了對不對或者說上次我們是吃便當下次一樣收一千塊我們這次吃桌餐這樣子是不是更好這就是我們遇到多退少補的日常生活經驗往下看
transcript.whisperx[5].start 140.427
transcript.whisperx[5].end 167.646
transcript.whisperx[5].text 所以會造成多退會是什麼情況呢是主揪高估支出還是低估收入一個有經驗的主揪他對於要支出哪些項目通常不會估算得太離譜通常不會是高估支出他會何時去評估但是通常會有可能低估收入是怎麼樣辦得太成功了本來預定30個人結果來了100個人我收一收收1000塊收入支出不用那麼多會有剩
transcript.whisperx[6].start 168.706
transcript.whisperx[6].end 183.938
transcript.whisperx[6].text 所以如果主揪辦得好支出算得準但是大家超乎預期的熱烈有時候收入就會多乎你應該支出的部分這就是我們日常生活經驗這樣的生活經驗告訴我們往下看
transcript.whisperx[7].start 185.211
transcript.whisperx[7].end 194.163
transcript.whisperx[7].text 國家的稅收治大國如噴小仙啊所以呢我們看一下在2022年估計稅收450億4500億拿出3800億做什麼事情呢1000億撥補健保
transcript.whisperx[8].start 200.871
transcript.whisperx[8].end 224.742
transcript.whisperx[8].text 補貼電價平物價 拿出一千億幫忙付一年的學貸雜費還有利息TPAS的票價補貼輔導農民導入等等等還有照顧弱勢產業升級觀光客來台等等等最後呢有1417億共享經濟成果六千塊為什麼是共享經濟成果呢因為台灣要防疫做得好大家經濟成果才會成長嘛
transcript.whisperx[9].start 226.055
transcript.whisperx[9].end 253.427
transcript.whisperx[9].text 那防疫難道是有繳稅的人才做嗎沒有 大家都有做防疫所以不管有繳稅沒繳稅經濟成果共享大家都有這個不是退稅退稅是指什麼有繳稅的人繳多了退給你全民經濟成果分享是什麼大家都有貢獻所以大家來分好啦 請問下一頁那我們這一次是有什麼經濟成果要大家共享嗎我們看到剛剛的報告說我們的標題說什麼
transcript.whisperx[10].start 256.028
transcript.whisperx[10].end 278.302
transcript.whisperx[10].text 這次都是因為營所稅收的超乎預期啊是因為很多人營業出口旺盛多收了營業所得稅收增加才有這些嘛那之前我們的稅收增加我們是做疫後振興那今年呢今年台灣社會的零售業流通業餐飲業都已經恢復到疫情的水準我們要振興什麼
transcript.whisperx[11].start 279.71
transcript.whisperx[11].end 302.45
transcript.whisperx[11].text 是不是導致醫護人員的預算要多崩裂呢我倒覺得這個課題可以往下看所以如果說今天我們稅收超乎預期因為辦的經濟太好了繳稅人更多了繳了更多錢了那我們如果不是去執行那些之前需要再加強的政策那就明年少收點嘛少收有很多方式啊
transcript.whisperx[12].start 303.231
transcript.whisperx[12].end 311.577
transcript.whisperx[12].text 免稅額寬解而提高啊稅率降低啊 這些都可以討論啊但千萬不要告訴我這些錢要拿來發一萬元的紅包好 謝謝中文的發言報告委員會目前登記發言的專家學者均已發言完畢
transcript.whisperx[13].start 328.728
transcript.whisperx[13].end 334.122
transcript.whisperx[13].text 現在開始請行政部門回應相關的意見首先請行政院的副委書長請