LONG HOÀNG

Recent presentations:  10th BECCLE Competition Policy Conference (Bergen, 2026),18th Digital Economics Conference (Toulouse, 2026), TI Workshop in Platform Economics (Amsterdam, 2025), VU Economics Department Seminar (2025).

NEW PUBLICATION!!!

"From Pixels to Peripheries: The Digital Economy and Urban Sprawl in a Cross-Country Analysis", (GeoJournal- Q1 Scopus, ECSI).

This study investigates the causal impact of the digital economy on urban expansion and fragmentation using international evidence. The study analyzes a sample of 99 countries from 2009 to 2021, with urban sprawl measured through remote sensing data from the MODIS Land Cover Product. Specifically, it employs two indicators: (i) total urban area, which presents the spatial extent of urban expansion, and (ii) the scattering index, which reflects the degree of spatial fragmentation. By applying fixed effects, random effects, and two-step system GMM estimators, the results demonstrate that while a higher digital economy index leads to an increase in total urban area, it simultaneously helps reduce urban fragmentation, which then suggests a more compact urban form. Leveraging the scope of the data, the study further examines the heterogeneous impacts of the digital economy across different income groups. The findings indicate that in high-income countries, digital economy improvements tend to mitigate urban sprawl in both spatial scale and fragmentation. In contrast, in middle- and low-income countries, such improvements are associated with greater urban sprawl.

"Does urbanization drive up housing prices? Novel evidence from remote sensing and dynamic panel quantile regression" (International Journal of Housing Markets and Analysis- Q2 Scopus, ECSI)- with  Pham Trung-Kien 

This study aims to quantify the influence of urbanization on housing prices at the district-based level, while also investigating the heterogeneous impacts across different quantiles of housing prices. The study uses remote-sensed spectral images from the Landsat 7 ETM+ satellite to measure urbanization, replacing prior reliance solely on urban population metrics. Subsequently, the two-step system generalized method of moments is used to evaluate how urbanization influences district-based housing prices through three spectrometries: Urban Index (UI), Normalized Difference Built-up Index (NDBI) and Built-Up Index (BUI). Finally, this study examines the heterogeneous impacts across various housing price quantiles through Dynamic Panel Quantile Regression with non-additive fixed effects under Markov Chain Monte Carlo simulation. The study demonstrates that urbanization leads to an increase in regional housing prices. However, these impact magnitudes vary across housing price quantiles. Specifically, the impact exhibits an inverse V-shaped curve, with urbanization exerting a more pronounced influence on the 60th percentile of housing prices, while its effect on the 10th and 90th percentiles is comparatively weaker.