Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
AsRES - Housing Market 3
Time:
Sunday, 16/July/2023:
9:00am - 10:30am

Chair: William CHEUNG, Waseda University
Location: Hyatt Salon 2

Hyatt Regency Shatin, Salon 2 香港沙田凯悦酒店,凯悦厅2号


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Presentations

Moving to Opportunity for Polluting: Intra-City Evidence from China’s Land Market

Shiyu Bo1, Fan ZHANG2, Hongjia Zhu1

1Institute for Economic and Social Research, Jinan University; 2University of International Business and Economics, China, People's Republic of;

Discussant: Masatomo SUZUKI (Yokohama City University);

As a response to local environmental regulations, it is prevalent to observe the relocations of polluting firms across cities. This paper provides evidence of the within-city relocations of polluting plants through the spatial distribution of industrial land. We utilize a unique setting of the 12th 5-year Plan on Air Pollution Prevention and Control covering 117 cities in China, among which the 47 treatment cities received more stringent regulation than the rest 70. Using a triple difference model, we find that after the implementation of the regulation, compared with the control cities, the locations of newly transacted polluting industrial land in the treatment cities become far away from the monitoring stations. The event-study results and the placebo tests using other categories of land further validate the causal relationship. The channel analysis suggests that the mechanism is through both the supply side and the demand side: while the local governments remote their industrial land supply away from the monitoring stations after the regulation, land buyers also show less tendency of bidding for the land near the monitoring stations.



Seeing Is Believing: Buyers’ Onsite Viewing Activities and Housing Outcomes

Maggie Rong HU1, Weida Kuang2, Xiaoyang LI3, Yang SHI4

1The Chinese University of Hong Kong, Hong Kong SAR, China; 2Renmin University of China, China; 3The Hong Kong Polytechnic University, Hong Kong SAR, China; 4The University of Melbourne, Australia;

Discussant: Liuming YANG (CUHK);

Despite being a key step in buyer side housing search, onsite viewing activities receives little attention in the literature. This study analyses the information revealed by buyers’ onsite viewing activities and examines its impact on transaction outcomes. Using a proprietary dataset of housing viewing records and transaction outcomes from a large real estate agency in China, we show that more active onsite viewings of prospective buyers are associated with greater deal likelihoods and purchase prices, as well as higher likelihood of budget overrun. We establish causality using the instrumental variable approach, exploiting the national basketball game period as an exogenous shock to onsite viewings. We further show that the demand revelation channel as a dominant mechanism driving the result. Active onsite viewings reveal buyers’ housing demand, which results in weakened bargaining power in negotiations with sellers, and consequently higher purchase prices that exceed buyers’ budgets.



Home prices and ageing population: evidence from Taiwan

William CHEUNG

Waseda University, Japan;

Discussant: Soonyong KIM (Pyeongtaek University);

We construct a set of monthly and quarterly home price indices (HPIs) of seventeen areas (cities and counties) of Taiwan from July 2012 to July 2018 based on Shiller (2008) repeat sales method. All seventeen areas exhibit significant upward trends during the sample period. Significantly larger price increases in less-developed areas such as Hualien-Taitung (+140%), Chiayi (+105%), Changhua (+95%), Ilan (+85%) compare to Taipei (+25%), the most developed area in Taiwan. Standard time series analysis suggests that all monthly HPIs have unit roots, 13 out of 17 HPIs are integrated of order 1 to 4. Twelve out of seventeen HPIs are cointegrated of order 4 with the composite housing index of Taiwan. In an error-correction model, coefficients of the error correction term are negative for all HPIs, implying convergence to the long-run equilibrium. The average speed of adjustment equals -0.614 with the highest speed of -1.05 in Hsinchu and lowest speed of -0.109 in Taoyuan. We explore the possibility that such a housing price dynamics maybe associated with ageing population ageing (Mankiw & Weil, 1989) through the unique Chinese culture and housing market regulations, after controlling for effects of unemployment and population growth



Local Political Cycle and Local Debt Risks:Evidence from China’s Chengtou Bond Market

Weida KUANG, Haiyun MA

Business School, Renmin University of China, China, People's Republic of;

Discussant: Jieun LEE (National University of Singapore);

This research explores how local politician tenure affects local debt risks. Employing the prefecture-level databases of local politician tenure and Chengtou Bond issuance of local government financing vehicles in China over the period 2003-2018, this paper finds that the local debt risks is negatively correlated with the mayors’ or city CCP secretaries’ tenure. However, the prefecture governments issue more bonds for infrastructure and industrial parks investment in the early stage of mayors’ tenure, which augments local debt risks. In addition, political uncertainty and central political supervision escalate local debt risks, but curb the over-indebtedness behavior of local governors.



 
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