人大國(guó)發(fā)院“理論與政策”研討會(huì)

（第217期）

From Exclusion to Belonging: Data-Driven Strategies for Sustainable Urban Communities

可持續(xù)城市社區(qū)的數(shù)據(jù)驅(qū)動(dòng)策略

主 講：Helen Bao（劍橋大學(xué)土地經(jīng)濟(jì)系教授，跨學(xué)科空間分析實(shí)驗(yàn)室主任）

主 持：肖超偉（中國(guó)人民大學(xué)國(guó)家發(fā)展與戰(zhàn)略研究院）

時(shí) 間：2025年7月25日10:00-10:45

地 點(diǎn)：立德教學(xué)樓11層1133會(huì)議室

報(bào)告摘要：

This talk provides an overview of two ongoing interdisciplinary research projects at the Lab for Interdisciplinary Spatial Analysis (LISA), University of Cambridge. LISA’s research reimagines urban futures through an interdisciplinary lens, tackling exclusion with cutting-edge data science. The first project investigates housing discrimination using a multi-methods framework, combining experimental techniques (e.g., correspondence testing) with large-scale observational data. Findings reveal persistent racial and gender biases in housing markets, shaped by colonial legacies and socio-cultural perceptions. This work not only advances academic understanding but also informs policy interventions to promote inclusive urban development. The second project pioneers AI-augmented spatial personality research, leveraging social media data and large language models (LLMs) to analyze personality traits (e.g., Openness, Neuroticism) at unprecedented resolution. This scalable, cost-efficient method replaces traditional surveys, enabling real-time insights for applications in urban planning, behavioral geography, and housing market dynamics. By integrating economics, psychology, and spatial analysis, LISA’s research offers actionable tools for policymakers and opens avenues for cross-disciplinary collaboration. The talk concludes with reflections on future directions, including cross-cultural validation and policy integration, inviting potential partners to explore joint initiatives in addressing urban inequalities and sustainable development.

報(bào)告人簡(jiǎn)介：

Dr. Helen Bao is a Professor of Urban Economics & Public Policy at the Department of Land Economy and a Fellow in Land Economy at the Newnham College, University of Cambridge. She is also the Director of the Lab of Interdisciplinary Spatial Analysis. After completing her PhD in Statistics at the City University of Hong Kong, Helen joined the University of Cambridge in 2006. Helen's research focuses on government policy and interventions that facilitate market operations and mitigate market failures in urban settings, such as sustainable urbanization and housing affordability. On the technical front, she specializes in the application of behavioral insights and hedonic price modelling in land and housing markets. Helen's new book, " Behavioral Economic Analysis of Institutional Changes: Lessons learned from China's Land System Reforms," pushes the research frontier of behavioral urban studies. Helen has published extensively on the application of behavioral insights in real estate markets in Urban Studies, Regional Sciences, Land Use Policy, Housing Studies, Journal of Real Estate Finance and Economics, Cities, Transport and Research Part F - Traffic Psychology and Behavior, among others. Helen's research has received grants from the Economic and Social Research Council (UK) and the National Natural Science Foundation of China. She is an Associate Editor of Cities and an editorial board member of key journals in the area of urban studies, such as Land Use Policy.

人大國(guó)發(fā)院“理論與政策”研討會(huì)

（第218期）

Is the ECB’s Monetary Policy Doomed to Overshoot? Consequences of Leaving out Owner-occupied Housing Costs in the HICP

歐洲央行貨幣政策是否注定“超調(diào)”？—— 剔除自有住房成本對(duì)HICP的影響分析

主 講：Sofie Waltl（劍橋大學(xué)土地經(jīng)濟(jì)系助理教授）

主 持：肖超偉（中國(guó)人民大學(xué)國(guó)家發(fā)展與戰(zhàn)略研究院）

時(shí) 間：2025年7月25日10:45-11:30

地 點(diǎn)：立德教學(xué)樓11層1133會(huì)議室

報(bào)告摘要：

How does the digital era alter familiar features of international trade? We explore such questions using exports of US movies which have gone from physical films to digital files. Unsurprisingly, digitization reduces the gravity effect: A one-standard-deviation increase in digitization reduces the distance elasticity from -0.46 to -0.40. More interestingly, digitization weakens the Washington Apples effect: The average gap in the distance elasticities between top and bottom quality movies (those at the 10th and 90th percentiles of lMDb ratings) is 0.240; a one-standard-deviation increase in digitization reduces this gap by 0.11. Our results are robust to alternative measures of digitization and quality. This implies that producers of lower quality varieties benefit disproportionately from digitization.

歐盟已就如何將“自有住房（OOH）”納入“歐盟統(tǒng)一消費(fèi)者價(jià)格指數(shù)（HICP）”展開了長(zhǎng)達(dá)20余年的討論。HICP 是歐洲央行制定貨幣政策的核心通脹指標(biāo)。我們?cè)诒狙芯恐刑岢隽艘环N具有良好性質(zhì)、不會(huì)破壞 HICP 穩(wěn)定性的解決方案。研究顯示，如果采用我們擴(kuò)展后的 HICP 方案，歐洲央行本可以更早預(yù)測(cè)2022年這類通脹沖擊，因?yàn)樵摲桨笗?huì)使測(cè)得的通脹率更早突破2%的目標(biāo)水平。此外，我們的測(cè)度結(jié)果與家庭實(shí)際感受到的通脹水平更加一致。

報(bào)告人簡(jiǎn)介：

Sofie Waltl is Assistant Professor in Real Estate Economics and Finance at the Department of Land Economy and Director of Studies at Murray Edwards College. She is an applied economist interested in housing markets, economic measurement, and inequality research. Her research has been published in various academic journals including Explorations in Economic History, International Journal of Housing Markets and Analysis, Journal of Money, Credit and Banking, Management Science, Real Estate Economics, Regional Science and Urban Economics, Review of Income and Wealth, The Journal of Economic Inequality and The Journal of Real Estate Finance and Economics. Additionally, she has successfully applied for competitive research grants, has been awarded several prizes and recognitions, and media outlets worldwide have quoted her research.

文章來源：人大國(guó)發(fā)院

審核：秦聰

微信編輯：張菁菁

人大國(guó)發(fā)院是中國(guó)人民大學(xué)集全校之力重點(diǎn)打造的中國(guó)特色新型高校智庫(kù)，現(xiàn)任理事長(zhǎng)為學(xué)校黨委書記張東剛，現(xiàn)任院長(zhǎng)為校長(zhǎng)林尚立。2015年入選全國(guó)首批“國(guó)家高端智庫(kù)”建設(shè)試點(diǎn)單位，并入選全球智庫(kù)百?gòu)?qiáng)，2018年初在“中國(guó)大學(xué)智庫(kù)機(jī)構(gòu)百?gòu)?qiáng)排行榜”中名列第一。2019年在國(guó)家高端智庫(kù)綜合評(píng)估中入選第一檔次梯隊(duì)，是唯一入選第一檔次梯隊(duì)的高校智庫(kù)。

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