What caused Abomey-Calavi and Guangzhou Sprawl? A Panel Data Analysis
- BOUKARI WADJIDOU,
- Long Fenjie
Tsinghua University School of Civil Engineering
Corresponding Author:email@example.comAuthor Profile
Tsinghua University School of Civil EngineeringAuthor Profile
AbstractThe urban sprawl index is typically regarded as the most precise
indicator of a city's potential to measure the level of sustainable
urban growth. Using panel data, we examine the causes of urban sprawl
over a twenty-year period in Abomey-Calavi, Benin, and Guangzhou, China.
A panel data set might contain group effects, time effects, or both.
This study analyzes the typical least squares approach with fixed
effects and random effects for panel data analysis. Multiple
specification tests, such as the Breusch--Pagan Lagrange Multiplier and
Hausman specification tests, are employed to identify the optimal
strategy for least square, fixed effect, or random effect models. Using
a random effect model to address this scenario appears to be the most
successful method for producing statistically significant results. These
results could help city planners find ways to make up for the bad
effects of urban sprawl on land use.