Underage tobacco sales violations and neighborhood crime arrest in Philadephia: a multiscale GIS-based analysis

Iyanda, Ayodeji Emmanuel; Adeleke, Richard; Boakye, Kwadwo; Adeusi, Temitope Joshua; Lu, Yongmei

doi:10.1007/s10708-021-10507-1

Cited by 5 publications

(2 citation statements)

References 61 publications

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“…The least squares method was chosen because it assumes that the existing relationships are linear so that they are convex; that is, they can reach a single, definite, and unique solution (Rencker, 2019). The challenge of this method is its inability to consider geographic factors as a result of only operating in one dimension (Iyanda et al, 2021). Although the geographical factor is sometimes of significant value in the study of FDI (Kaukab & Surwandono, 2021), this factor is only considered if the research is focused on the unique identification of source and destination countries of FDI.…”

Section: Geomentioning

confidence: 99%

Still Dirty: The Effect of Global Risks and Development on Foreign Direct Investment Inflow

Kaukab

2024

Business: Theory and Practice

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There needs to be more research on the global risks and developmental determinants of foreign direct investment inflow with green investment campaigns. This article presents new evidence covering 116 countries (2018–2020) using least squares regression. We show that ceteris paribus, higher perceived environmental and geopolitical risks are more likely to increase foreign direct investment. We also find that lower business environment, safety and security, and environmental sustainability increase foreign direct investment inflow. Meanwhile, foreign investment inflow increased positively according to price competitiveness, infrastructure quality, and natural resources. One development variable, information, and communication technology readiness, becomes significant when the analysis is performed only on developing countries. Economic risks, societal risks, technological risks, health and hygiene, human resources, and international openness are not significantly affecting investment inflow. An insightful theoretical implication regarding the finding is that some supports exist for the pollution haven hypothesis. Implications for practice include creating supportive policies that appreciate sustainable practices, such that investors are attracted to the country not as opportunistic polluters but as sustainability pioneers.

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Section: Geomentioning

confidence: 99%

Still Dirty: The Effect of Global Risks and Development on Foreign Direct Investment Inflow

Kaukab

2024

Business: Theory and Practice

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“…If the Koenker statistic is significant, this is an indication that there is spatial non-stationarity in the data which requires the use of a more robust spatial analysis to account for the unexplained spatial lag. However, if the Koenker statistic is not significant, the global regression models are sufficient to explain the relationship between variables (Iyanda et al 2021). Based on the significant Koenker statistic (16.23; p < 0.05), there was evidence of spatial dependence in the relationship between government tax revenue and the predictors which warranted the use of the GWR.…”

Section: Model Specificationmentioning

confidence: 99%

Spatial variability of the predictors of government tax revenue in Nigeria

Adeleke

2021

SN Bus Econ

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Despite Nigeria being Africa's largest economy, it has one of the lowest taxes to Gross Domestic Product (GDP) ratios globally estimated at 6 percent. Although tax revenue is generally low among the states in Nigeria, disparities are noticeable in different parts of the country. The understanding of "what" accounts for the variation in tax revenue and "where" are vital for place-based policy intervention to stimulate tax revenue generation. To this end, this study examines how the geographical differences in macro-economic, political economy, socio-economic and geographical location factors in the country explain the spatial variation in tax revenue, and pinpoints where these relationships are significant using the geographically weighted regression. Findings show spatial dispersal in government tax revenue with literacy rate and distance to the coast the two significant predictors. These factors predict more of government tax revenue in the south than the northern part of the country, reinforcing that geographical location and improved socio-economic conditions of the citizens are vital to drive up government revenue. The study recommends the education of taxpayers on the benefits of tax payment in northern Nigeria, while southern Nigeria should continue to take advantage of the coastal economy.

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Multiscale analysis of the influence of street built environment on crime occurrence using street-view images

Wang

Xie

et al. 2022

Computers, Environment and Urban Systems

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Underage tobacco sales violations and neighborhood crime arrest in Philadephia: a multiscale GIS-based analysis

Cited by 5 publications

References 61 publications

Still Dirty: The Effect of Global Risks and Development on Foreign Direct Investment Inflow

Still Dirty: The Effect of Global Risks and Development on Foreign Direct Investment Inflow

Spatial variability of the predictors of government tax revenue in Nigeria

Multiscale analysis of the influence of street built environment on crime occurrence using street-view images

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