The impact of community residents’ occupational structure on the spatial distribution of different types of crimes

Abstract This paper constructs a theoretical model to deduce the mechanism of environmental regulation on ecological welfare performance, selects the panel data of 30 provinces in China from 2005 ~ 2019, uses the Super-SBM model to measure the ecological welfare performance of China, and the influence of heterogeneous environmental regulation on ecological welfare performance in China is empirically tested by spatial Durbin model. The results show: (1) there are regional differences in the ecological welfare performance of different provinces in China, which illustrates an unbalanced spatial distribution; (2) there is significant positive spatial correlation between market incentive, command -control and voluntary participation environmental regulation and ecological welfare performance; (3) The impact of different types of environmental regulations on the performance of ecological welfare in China is heterogeneous. Command-control and market incentive environmental regulations can improve the performance of ecological welfare, while voluntary participation environmental regulations have no significant impact on the performance of ecological welfare; (4) From the perspective of spatial spillover effect, command-control environmental regulation is not conducive to the ecological welfare performance of neighboring regions, while market incentive environmental regulation is conducive to the improvement of ecological welfare performance of adjacent areas. The spatial spillover effect of voluntary participation environmental regulation on ecological welfare performance in adjacent areas is not significant.

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Quota Women Are Threatening to Men

Swiss Journal of Psychology ◽

10.1024/1421-0185/a000195 ◽

2017 ◽

Vol 76 (3) ◽

pp. 107-116 ◽

Cited By ~ 4

Author(s):

Klea Faniko ◽

Till Burckhardt ◽

Oriane Sarrasin ◽

Fabio Lorenzi-Cioldi ◽

Siri Øyslebø Sørensen ◽

...

Keyword(s):

Decision Making ◽

Organizational Performance ◽

Gender Stereotypes ◽

Perceived Threat ◽

Preferential Treatment ◽

Public Sector Employees ◽

Different Types ◽

Low Levels ◽

Women In Decision Making ◽

The Impact

Abstract. Two studies carried out among Albanian public-sector employees examined the impact of different types of affirmative action policies (AAPs) on (counter)stereotypical perceptions of women in decision-making positions. Study 1 (N = 178) revealed that participants – especially women – perceived women in decision-making positions as more masculine (i.e., agentic) than feminine (i.e., communal). Study 2 (N = 239) showed that different types of AA had different effects on the attribution of gender stereotypes to AAP beneficiaries: Women benefiting from a quota policy were perceived as being more communal than agentic, while those benefiting from weak preferential treatment were perceived as being more agentic than communal. Furthermore, we examined how the belief that AAPs threaten men’s access to decision-making positions influenced the attribution of these traits to AAP beneficiaries. The results showed that men who reported high levels of perceived threat, as compared to men who reported low levels of perceived threat, attributed more communal than agentic traits to the beneficiaries of quotas. These findings suggest that AAPs may have created a backlash against its beneficiaries by emphasizing gender-stereotypical or counterstereotypical traits. Thus, the framing of AAPs, for instance, as a matter of enhancing organizational performance, in the process of policy making and implementation, may be a crucial tool to countering potential backlash.

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Situational Breakdowns

10.1093/oso/9780190922061.001.0001 ◽

2019 ◽

Cited By ~ 8

Author(s):

Anne Nassauer

Keyword(s):

United States ◽

Large Scale ◽

Contextual Factors ◽

The United States ◽

Social Outcomes ◽

Dynamic Processes ◽

Collective Decisions ◽

Different Types ◽

The Impact

This book provides an account of how and why routine interactions break down and how such situational breakdowns lead to protest violence and other types of surprising social outcomes. It takes a close-up look at the dynamic processes of how situations unfold and compares their role to that of motivations, strategies, and other contextual factors. The book discusses factors that can draw us into violent situations and describes how and why we make uncommon individual and collective decisions. Covering different types of surprise outcomes from protest marches and uprisings turning violent to robbers failing to rob a store at gunpoint, it shows how unfolding situations can override our motivations and strategies and how emotions and culture, as well as rational thinking, still play a part in these events. The first chapters study protest violence in Germany and the United States from 1960 until 2010, taking a detailed look at what happens between the start of a protest and the eruption of violence or its peaceful conclusion. They compare the impact of such dynamics to the role of police strategies and culture, protesters’ claims and violent motivations, the black bloc and agents provocateurs. The analysis shows how violence is triggered, what determines its intensity, and which measures can avoid its outbreak. The book explores whether we find similar situational patterns leading to surprising outcomes in other types of small- and large-scale events: uprisings turning violent, such as Ferguson in 2014 and Baltimore in 2015, and failed armed store robberies.

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Modelling Agricultural Controls for Flooding and Soil Erosion

The Oxford Handbook of Food, Water and Society ◽

10.1093/oxfordhb/9780190669799.013.56 ◽

2018 ◽

pp. 776-796

Author(s):

Roger Moussa ◽

Bruno Cheviron

Keyword(s):

Spatial Distribution ◽

Model Structure ◽

Land Uses ◽

Research Challenges ◽

Water And Sediment ◽

Flow Processes ◽

Cultivation Practices ◽

Modelling Strategies ◽

The Impact ◽

Significant Factors

Floods are the highest-impact natural disasters. In agricultural basins, anthropogenic features are significant factors in controlling flood and erosion. A hydrological-hydraulic-erosion diagnosis is necessary in order to choose the most relevant action zones and to make recommendations for alternative land uses and cultivation practices in order to control and reduce floods and erosion. This chapter first aims to provide an overview of the flow processes represented in the various possible choices of model structure and refinement. It then focuses on the impact of the spatial distribution and temporal variation of hydrological soil properties in farmed basins, representing their effects on the modelled water and sediment flows. Research challenges and leads are then tackled, trying to identify the conditions in which sufficient adequacy exists between site data and modelling strategies.

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A global analysis of the impact of COVID-19 stay-at-home restrictions on crime

Nature Human Behaviour ◽

10.1038/s41562-021-01139-z ◽

2021 ◽

Author(s):

Amy E. Nivette ◽

Renee Zahnow ◽

Raul Aguilar ◽

Andri Ahven ◽

Shai Amram ◽

...

Keyword(s):

Public Space ◽

Global Analysis ◽

Sudden Change ◽

Interrupted Time Series ◽

Urban Crime ◽

Substantial Variation ◽

Different Types ◽

Time Series Analyses ◽

The Impact ◽

At Home

AbstractThe stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings show that the stay-at-home policies were associated with a considerable drop in urban crime, but with substantial variation across cities and types of crime. Meta-regression results showed that more stringent restrictions over movement in public space were predictive of larger declines in crime.

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Comprehensive Effects of Short-Term Rental Platforms Across Hotel Types in U.S. and International Destinations

Cornell Hospitality Quarterly ◽

10.1177/19389655211033527 ◽

2021 ◽

pp. 193896552110335

Author(s):

John W. O’Neill ◽

Jihwan Yeon

Keyword(s):

Service Providers ◽

Comprehensive Analysis ◽

Competitive Market ◽

Substitution Effects ◽

Short Term ◽

Hotel Performance ◽

The World ◽

Different Types ◽

Location Type ◽

The Impact

In recent years, short-term rental platforms in the lodging sector, including Airbnb, VRBO, and HomeAway, have received extensive attention and emerged as potentially alternative suppliers of services traditionally provided by established commercial accommodation providers, that is, hotels. Short-term rentals have dramatically increased the available supply of rooms for visitors to multiple international destinations, potentially siphoning demand away from hotels to short-term rental businesses. In a competitive market, an increase in supply with constant demand would negatively influence incumbent service providers. In this article, we examine the substitution effects of short-term rental supply on hotel performance in different cities around the world. Specifically, we comprehensively investigate the substitution effects of short-term rental supply on hotel performance based on hotel class, location type, and region. Furthermore, we segment the short-term rental supply based on its types of accommodations, that is, shared rooms, private rooms, and entire homes, and both examine and quantify the differential effects of these types of short-term rentals on different types of hotels. This study offers a comprehensive analysis regarding the impact of multiple short-term rental platforms on hotel performance and offers both conceptual and practical insights regarding the nature and extent of the effects that were identified.

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Double, triple or quadruple hits? Exploring the impact of cybercrime on victims in the Netherlands

International Review of Victimology ◽

10.1177/02697580211010692 ◽

2021 ◽

pp. 026975802110106

Author(s):

Raoul Notté ◽

E.R. Leukfeldt ◽

Marijke Malsch

Keyword(s):

Public Opinion ◽

Literature Review ◽

The Netherlands ◽

Public Discourse ◽

Moral Judgments ◽

Victim Blaming ◽

High Prevalence ◽

Different Types ◽

The Impact ◽

Insight Into

This article explores the impact of online crime victimisation. A literature review and 41 interviews – 19 with victims and 22 with experts – were carried out to gain insight into this. The interviews show that most impacts of online offences correspond to the impacts of traditional offline offences. There are also differences with offline crime victimisation. Several forms of impact seem to be specific to victims of online crime: the substantial scale and visibility of victimhood, victimisation that does not stop in time, the interwovenness of online and offline, and victim blaming. Victims suffer from double, triple or even quadruple hits; it is the accumulation of different types of impact, enforced by the limitlessness in time and space, which makes online crime victimisation so extremely invasive. Furthermore, the characteristics of online crime victimisation greatly complicate the fight against and prevention of online crime. Finally, the high prevalence of cybercrime victimisation combined with the severe impact of these crimes seems contradictory with public opinion – and associated moral judgments – on victims. Further research into the dominant public discourse on victimisation and how this affects the functioning of the police and victim support would be valuable.

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Measuring spatial allocative efficiency in basketball

Journal of Quantitative Analysis in Sports ◽

10.1515/jqas-2019-0126 ◽

2020 ◽

Vol 16 (4) ◽

pp. 271-289

Author(s):

Nathan Sandholtz ◽

Jacob Mortensen ◽

Luke Bornn

Keyword(s):

Spatial Distribution ◽

Hierarchical Model ◽

Opportunity Cost ◽

Allocative Efficiency ◽

Bayesian Hierarchical Model ◽

National Basketball Association ◽

Spatial Context ◽

Bayesian Hierarchical ◽

The Impact

AbstractEvery shot in basketball has an opportunity cost; one player’s shot eliminates all potential opportunities from their teammates for that play. For this reason, player-shot efficiency should ultimately be considered relative to the lineup. This aspect of efficiency—the optimal way to allocate shots within a lineup—is the focus of our paper. Allocative efficiency should be considered in a spatial context since the distribution of shot attempts within a lineup is highly dependent on court location. We propose a new metric for spatial allocative efficiency by comparing a player’s field goal percentage (FG%) to their field goal attempt (FGA) rate in context of both their four teammates on the court and the spatial distribution of their shots. Leveraging publicly available data provided by the National Basketball Association (NBA), we estimate player FG% at every location in the offensive half court using a Bayesian hierarchical model. Then, by ordering a lineup’s estimated FG%s and pairing these rankings with the lineup’s empirical FGA rate rankings, we detect areas where the lineup exhibits inefficient shot allocation. Lastly, we analyze the impact that sub-optimal shot allocation has on a team’s overall offensive potential, demonstrating that inefficient shot allocation correlates with reduced scoring.

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A Pandemic of Violence? The Impact of COVID-19 on Conflict

Peace Economics Peace Science and Public Policy ◽

10.1515/peps-2020-0050 ◽

2020 ◽

Vol 26 (3) ◽

Cited By ~ 1

Author(s):

Sara M.T. Polo

Keyword(s):

Spatial Distribution ◽

Real Time ◽

Case Studies ◽

Armed Conflict ◽

Event Data ◽

Social Unrest ◽

Johns Hopkins University ◽

The World ◽

Political Advantage ◽

The Impact

AbstractThis article examines the impact and repercussions of the COVID-19 pandemic on patterns of armed conflict around the world. It argues that there are two main ways in which the pandemic is likely to fuel, rather than mitigate, conflict and engender further violence in conflict-prone countries: (1) the exacerbating effect of COVID-19 on the underlying root causes of conflict and (2) the exploitation of the crisis by governments and non-state actors who have used the coronavirus to gain political advantage and territorial control. The article uses data collected in real-time by the Armed Conflict Location & Event Data Project (ACLED) and the Johns Hopkins University to illustrate the unfolding and spatial distribution of conflict events before and during the pandemic and combine this with three brief case studies of Afghanistan, Nigeria, and Libya. Descriptive evidence shows how levels of violence have remained unabated or even escalated during the first five months of the pandemic and how COVID-19-related social unrest has spread beyond conflict-affected countries.

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Can Architectural Surfaces Capture Atmospheric Particulate Matter Like Trees? A Design Strategy to Mimic Leaf Traits

Sustainability ◽

10.3390/su13147637 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7637

Author(s):

Taekyoung Lee ◽

Jieun Cha ◽

Sohyun Sung

Keyword(s):

Leaf Traits ◽

Design Strategy ◽

Atmospheric Particulate Matter ◽

Porous Surface ◽

Base Surface ◽

Different Types ◽

Pm2.5 And Pm10 ◽

Micro Morphology ◽

The Impact ◽

Cluster Pattern

Trees’ ability to capture atmospheric Particular Matter (PM) is related to morphological traits (shape, size, and micro-morphology) of the leaves. The objectives of this study were (1) to find out whether cluster pattern of the leaves is also a parameter that affects trees’ PM capturing performance and (2) to apply the cluster patterns of the leaves on architectural surfaces to confirm its impact on PM capturing performance. Two series of chamber experiments were designed to observe the impact of cluster patterns on PM capturing performance whilst other influential variables were controlled. First, we exposed synthetic leaf structures of different cluster patterns (a large and sparsely arranged cluster pattern and a small and densely arranged cluster pattern) to artificially generated PM in a chamber for 60 min and recorded the changing levels of PM2.5 and PM10 every minute. The results confirmed that the small and densely arranged cluster pattern has more significant effect on reducing PM2.5 and PM10 than the large and sparsely arranged cluster pattern. Secondly, we created three different types of architectural surfaces mimicking the cluster patterns of the leaves: a base surface, a folded surface, and a folded and porous surface. The surfaces were also exposed to artificially generated PM in the chamber and the levels of PM2.5 and PM10 were recorded. The results confirmed that the folded and porous surface has a more significant effect on reducing PM2.5 and PM10 than other surfaces. The study has confirmed that the PM capturing performance of architectural surfaces can be improved by mimicking cluster pattern of the leaves.

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