Impact of an urban growth boundary across the entire house price spectrum: The two-stage quantile spatial regression approach

2019 ◽  
Vol 80 ◽  
pp. 88-94 ◽  
Author(s):  
Shishir Mathur
Keyword(s):  
Urban Growth ◽  
Spatial Regression ◽  
House Price ◽  
Two Stage ◽  
Urban Growth Boundary ◽  
Regression Approach

scholarly journals The Impact of an Urban Growth Boundary on Land Development in Knox County, Tennessee: A Comparison of Two-Stage Probit Least Squares and Multilayer Neural Network Models

2007 ◽  
Vol 39 (3) ◽  
pp. 701-717 ◽  
Author(s):  
Seong-Hoon Cho ◽  
Olufemi A. Omitaomu ◽  
Neelam C. Poudyal ◽  
David B. Eastwood
Keyword(s):  
Neural Network ◽  
Urban Growth ◽  
Land Development ◽  
Network Models ◽  
Probit Model ◽  
Neural Network Models ◽  
Two Stage ◽  
Urban Growth Boundary ◽  
Knox County ◽  
The Impact

The impact of an urban growth boundary (UGB) on land development in Knox County, TN is estimated via two-stage probit and neural-network models. The insignificance of UGB variable in the two-stage probit model and more visible development patterns in the western part of Knoxville and the neighboring town of Farragut during the post-UGB period in both models suggest that the UGB has not curtailed urban sprawl. Although the network model is found to be a viable alternative to more conventional discrete choice approach for improving the predictability of land development, it is at the cost of evaluating marginal effects.

scholarly journals A SPATIAL REGRESSION APPROACH TO FDI IN VIETNAM: PROVINCE-LEVEL EVIDENCE

2017 ◽  
Vol 62 (02) ◽  
pp. 459-481 ◽  
Author(s):  
BULENT ESIYOK ◽  
MEHMET UGUR
Keyword(s):  
Indirect Effects ◽  
Spatial Dependence ◽  
Spatial Regression ◽  
Domestic Investment ◽  
Labor Costs ◽  
Policy Makers ◽  
Regression Approach ◽  
Per Capita ◽  
Openness To Trade ◽  
Province Level

Foreign direct investment (FDI) flows into Vietnam have increased significantly in recent years and are distributed unequally between provinces. This paper aims to investigate the locational determinants of FDI in 62 Vietnamese provinces and whether spatial dependence is a significant factor that both researchers and policy-makers should take into account. We report that province-specific per-capita income, secondary education enrolment, labor costs, openness to trade, and domestic investment affect FDI directly within the province itself and have indirect effects on FDI in neighboring provinces. The direct and indirect effects coexist with spill-over effects and spatial dependence between provinces. Our findings indicate that FDI in Vietnam reflects a combination of complex vertical and export platform motivations on the part of foreign investors; and an agglomeration dynamics that may perpetuate the existing regional disparities in the distribution of FDI capital between provinces.

Modeling Urban Growth at a Micro Level

2018 ◽  
pp. 41-58
Author(s):  
Rama Prasada Mohapatra ◽  
Changshan Wu
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Urban Growth ◽  
Panel Data Analysis ◽  
Central City ◽  
House Price ◽  
Random Effects Model ◽  
Block Group ◽  
Employment Opportunities ◽  
Micro Level

In this paper, the historical trend of urban growth and the associated drivers were examined through econometric analysis for the rapidly growing Grafton area in the State of Wisconsin. Specifically, panel data analysis was carried out to examine the drivers of urban growth such as demographic factors, location of jobs, travel time, housing types, property values, etc. Results reveal that panel data analysis, particularly the random effects model, was successful in analyzing the drivers of urban growth at the census block group level. This study found that population, local jobs, household income, and house price were positively associated with urban growth. The study also found that urban growth in the study area is not decided by the access to the nearest central city, but other factors, such as the rural atmosphere of the region, local jobs, and emerging centers of employment opportunities, have significant influences on urban development.

Macro-level accident modeling in Novi Sad: A spatial regression approach

2019 ◽  
Vol 132 ◽  
pp. 105259 ◽  
Author(s):  
Miloš Pljakić ◽  
Dragan Jovanović ◽  
Boško Matović ◽  
Spasoje Mićić
Keyword(s):  
Spatial Regression ◽  
Macro Level ◽  
Regression Approach ◽  
Novi Sad

scholarly journals Historic income versus inflation-adjusted income in the dividend decision

1986 ◽  
Vol 17 (3) ◽  
pp. 119-124 ◽  
Author(s):  
D. P. Du Plessis ◽  
A. A. Archer ◽  
J. F. Affleck-Graves
Keyword(s):  
Research Design ◽  
Dividend Policy ◽  
Explanatory Power ◽  
Two Stage ◽  
Regression Approach ◽  
Research Findings ◽  
A Company ◽  
As If

An attempt is made to determine to what extent companies take into account the effects of inflation in formulating their dividend decisions. The research design incorporates a two-stage regression approach which permits a determination of the incremental explanatory power of collinear variables. The research findings suggest that dividend decisions are best explained in terms of historic earnings. It therefore appears as if management does not take the effects of inflation into account in formulating dividend policy. This could have serious implications for the survival of a company because it could result in a real dividend cover of less than one.

Sign in / Sign up

Export Citation Format

Share Document