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貨幣爭霸 花落誰家 (The race is on for the new world currency)
近年來,數碼貨幣在世界各地日常經濟活動中已擔當不可或缺的角色,例如中國內地的支付系統,就以微信和支付寶居主導地位,數以億計的消費者已習慣以電子錢包取代現金。臉書正籌備發行新加密幣Libra,標榜為與一籃子官方貨幣掛鈎的「穩定幣」(stablecoin)。在非洲,肯尼亞電訊公司Safaricom亦已推出手機支付程式M-Pesa。

湾区争雄重育才 融汇中西港占优
去年夏天笔者刚从洛杉矶移居到香港这座阔别多年的城市,就接到所属经管学院通知,因学生报名人数突然几近翻倍,需多教一门应用计量经济学的硕士课程。2019冠状病毒病疫情下,香港特区的大学还能增产扩容,实属难得。
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Watch, Read, Listen
Potential anti-competitive effects of algorithmic pricing
疫情肆虐加速普羅大眾把購物習慣從線下轉向線上。根據IBM美國零售指數的最新數據,冠狀病毒大流行讓零售業從實體店轉向網上購物的進程提早了約5年;經濟合作暨發展組織(OECD)的報告也指出:疫情正在加快電子商務平台向新的客戶和產品擴展速度。毋庸置疑,進程產生好處:企業從實體經營轉向線上業務時,降低了成本,同時提高了生產效率。但若要確保消費者能從中受益,線上平台所處的經營環境應該保持競爭性。能否維持這一點,未來仍存在不少變數,其中讓人擔心的是,以機器學習為核心的定價算法可能對營商環境的競爭帶來潛在負面影響。
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Post-pandemic Era: Creating a Sustainable Shopping Tourism Experience in Hong Kong
作為一個多元旅遊城市,香港以豐富的文化遺產、美食文化、國際化購物環境和現代商業的都市風貌而舉世聞名,成為國內外廣大遊客心中的旅遊勝地。然而,受全球新冠疫情的影響,香港旅遊業也成為最受打擊的行業之一。
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Positive non-interventionism: An economic philosophy that has impacted HK for half a century
已故港英政府財政司郭伯偉所倡議的不干預政策(non-interventionism),自上世紀六十年代起,一直被奉為香港經濟政策的核心價值,至今已逾半個世紀。他任內曾反對為莘莘學子提供免費教育,更反對政府對經濟作詳細統計及研究,以免政府基於數據而對經濟作出干預!這種今天看來顯得極端的自由放任(laissez-faire)方針,卻因七十年代香港經濟的蓬勃發展,廣被視為最適用於香港這個開放型小經濟體。
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Platform Bias Creates Barriers to Digital Innovations
Digital platforms help lesser-known cultural workers find their audience by reducing consumers’ search…
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Overseas Expansion of Chinese Enterprises: Opportunities for Hong Kong’s Transformation
The Chinese economy is in a state of “strong supply and weak demand”.…
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Overdoing can backfire
The article 《事與願違 過度有為》 was originally published in Hong Kong Economic Journal column…
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Outlook of US-China Trade
The article 《中美貿易形勢觀測》 was originally published in Hong Kong Economic Journal column 「龍虎山下」
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One Year on: a Review of Trump’s Reciprocal Tariffs
The One-Person Company in the Age of AI: Opportunity, Commoditisation, and the Moat
Neon Lights are Off; Night King is On
Beyond Efficiency: Toward Human-Centred Generative AI
Global Growth: Stuck in Low Gear
Success in Prediction Markets: Insight or Insider Information
Advisor–Advisee Research Overlap and Its Implications for Scientists’ Early-Career Performance in the United States
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