Time-to-plan lags for commercial construction projects

Millar, Jonathan N.; Oliner, Stephen D.; Sichel, Daniel E.

doi:10.1016/j.regsciurbeco.2016.05.002

Cited by 15 publications

(12 citation statements)

References 34 publications

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“…A number of these major empirical studies are using subjective, survey based measurement of regulation strictness, such as the Wharton Residential Land Use Regulatory Index (WRLURI) (Gyourko et al, 2008;Jansen & Mills, 2013;Millar, Oliner, & Sichel, 2016;Paciorek, 2013). Subjective measurement is limited, not only because of accuracy issues but also because it treats regulation as exogenous to housing prices (Quigley & Rosenthal, 2005) and because it is in most cases inherently cross-sectional (Bramley, 2002).…”

Section: Land-use Regulation and The Housing Marketmentioning

confidence: 99%

Is planning delay really a constraint in the provision of housing? Some evidence from Israel

Rubin

Felsenstein

2019

Papers in Regional Science

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This paper revisits the claim that a causal link exists between the inflexibility of land‐use planning and low elasticity of housing supply. A theoretical model of factors impacting district‐level planning is presented alongside a model of the impact of planning delay on housing supply. The models are estimated for the Tel Aviv district using detailed data covering a 12‐year period. Results show significant impacts on planning delay due to plan, municipality and district planning commission characteristics. House prices exert a positive effect on planning speed and municipal funding acts as a supply constraint. While planning delay does not impact housing supply, delay uncertainty has a negative impact and acts as a constraint.

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Section: Land-use Regulation and The Housing Marketmentioning

confidence: 99%

Is planning delay really a constraint in the provision of housing? Some evidence from Israel

Rubin

Felsenstein

2019

Papers in Regional Science

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“…Next, we restrict our sample to all establishments within the states where cities passed FBR between 1999 and 2014. Following Millar et al (2016), we establish a 2-year buffer to allow for a reasonable construction lag. 7 We then aggregate these establishment-year observations to city-year level.…”

Section: Data and Sample Constructionmentioning

confidence: 99%

Does Restricting the Entry of Formula Businesses Help Mom-and-Pop Stores? The Case of Small American Towns With Unique Community Character

Kim

Zhou

2021

Economic Development Quarterly

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Communities worldwide are increasingly introducing regulatory measures to protect independent businesses from chain stores, but the efficacy of these attempts is largely debated. Moreover, effects are likely to vary by the characteristics of the local economy, a consideration overlooked by existing studies. Using a sample of U.S. cities with unique community characteristics, the authors examine Formula Business Restrictions (FBR), a type of an American land use regulation that restricts the entry of “formula businesses.” The authors find that the passage of FBR led to a higher number and percentage of employees working in mom-and-pop businesses, which was primarily achieved by protecting existing ones from downsizing. This positive effect occurred over time with increasing magnitude. The authors also find heterogeneous effects on different sectors: FBR had strong positive effects on the retail sector, but not on the service sector. Findings suggest that chain store entry barriers can be beneficial for mom-and-pop businesses when designed carefully.

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“…Due to the dependence of the current state of the system on the previous period, economic indicators are usually autocorrelated. Therefore, regression with the required independent factors, which forms a vector of unknown dimensions, generates biased estimates of the lag structure (Millar et al, 2016;Vu et al, 2019). Accordingly, this feature should be taken into account when calculating the banking sector's level of financial security.…”

Section: Data Selection For Multicomponent Analysismentioning

confidence: 99%

Monitoring the financial security of the Ukrainian banking sector in the context of system-deterministic challenges

Yasynska

Syrmamiikh

Penez

2021

Banks and Bank Systems

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The development of the financial market and the transformation of the banking sector create a need for diagnostics of its financial security. This study is aimed at determining the level of the Ukrainian banking sector financial security in the event of decapitalization of the national economy. The paper uses multicomponent and behavioral analysis methods. The empirical study is based on Ukrainian data for 37 indicators by three components (for multicomponent analysis) and 23 indicators (for behavioral analysis). The study presents an improved algorithm for monitoring the level of Ukrainian banking sector’s financial security based on the calculation of the integral indicator. Only the system of “Financial results” indicators as the most significant component has relative independence from the other two components (“Financial stability” and “Macroeconomic stability”). According to assessments, in 2008–2017 Ukrainian banking sector’s financial security was 0,485-0,539; and in 2018 it became 0,626. The behavioral analysis of the partial integral indicator of the “Financial stability” component with the withdrawn assets located in offshore jurisdictions revealed the causal relation of the negative impact of capital outflow on the financial stability of the banking sector. This study has a practical value for determining the level of the banking sector financial security.

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Time-to-plan lags for commercial construction projects

Cited by 15 publications

References 34 publications

Is planning delay really a constraint in the provision of housing? Some evidence from Israel

Is planning delay really a constraint in the provision of housing? Some evidence from Israel

Does Restricting the Entry of Formula Businesses Help Mom-and-Pop Stores? The Case of Small American Towns With Unique Community Character

Monitoring the financial security of the Ukrainian banking sector in the context of system-deterministic challenges

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