Police militarization in the USA: the state of the field

Author(s):  
Sam Bieler

Purpose The purpose of this paper is to review the state of research of police militarization in the USA to explore the claim that the police are becoming more like the military, or “militarized” in order to identify gaps in the research on this topic that require further investigation. Design/methodology/approach To explore the state of police militarization, this paper draws on a scan of scholarly papers published on militarization in the American context as well as a select array of gray literature on the topic. Findings While the nature of militarization has received substantial scholarly attention, debate on the phenomenon remains and there is little consensus on the definition of what makes a department militarized. The impact of militarization is similarly unclear: some scholars suggest that it has a negative impact on policing because it creates community hostility and encourages police to see force as a central problem-solving tool. However, other scholars suggest militarization is a positive development, as it could promote professionalism and accountability. To date, there has been little empirical work on the impact of militarization on policing that could inform this debate. Originality/value This paper suggests that empirical assessments of how militarization affects use of force and legitimacy will be valuable for informing the militarization debate. As scholars on both sides of the debate have suggested that militarization affect policing outcomes in these areas, empirical tests here offer a way to explore both sides’ claims. Such tests could offer new evidence on how militarization is affecting the character and operations of American police.

Author(s):  
Alfonso Mendoza-Velazquez

Purpose This study investigates the existence of Marshall, Jacob and Porter’s type of externalities in Mexico. We measure the impact of industrial specialization, competition and diversity on employment growth for the period 2004 to 2008. Design/methodology/approach The analysis is based on data from 41 highly dynamic industrial clusters originally obtained by applying Porter’s (1998) methodology. We use a cross-section specification estimated via instrumental variables and two-stage least square estimation (2SLS) to control for endogeneity. Findings On average, we find that industrial specialization exerts a negative impact on employment growth within states and within clusters, indicating that traded industries in Mexico carry very little innovation, operate in early stages of the life cycle, face high costs of employment reassignation or exhibit low adaptability. A negative impact of specialization on employment conforms with Jacobs (1969) type of externalities and confirms what other studies have found in France (Combes, 2000), Korea (Lee et al., 2005) and the USA (Delgado et al., 2014). The authors also find that competition generates more employment. Research limitations/implications Industrial data at the sub-branch level were obtained from the Economic Census (EC) of the National Institute of Geography and Statistics (INEGI). The EC information for 2004 was still not fully compatible with the North America Industry Classification System (NAICS), with 262 of the 309 data at the fourth-digit level aligned to the USA. In addition, industrial information from the EC is recorded every four years, which prevents this study to use panel data techniques and it makes it impossible to use time series methods. Practical implications Policymakers can clearly identify competition forces having a significant impact on employment growth. This can orient policymakers to implement measures to encourage the development of some of these clusters, as well as to identify some of the sources that drive specialization, competition and diversity. Originality/value This paper contributes to the debate on the existence of Marshallian (MAR), Jacobian and Porter externalities. This is the first study using the definition of traded clusters in Mexico, which allows the authors to identify how specialization, competition and diversity forces drive the dynamics of regional employment growth.


2017 ◽  
Vol 6 (3) ◽  
pp. 385-395
Author(s):  
Richard Cebula ◽  
James E. Payne ◽  
Donnie Horner ◽  
Robert Boylan

Purpose The purpose of this paper is to examine the impact of labor market freedom on state-level cost of living differentials in the USA using cross-sectional data for 2016 after allowing for the impacts of economic and quality of life factors. Design/methodology/approach The study uses two-stage least squares estimation controlling for factors contributing to cost of living differences across states. Findings The results reveal that an increase in labor market freedom reduces the overall cost of living. Research limitations/implications The study can be extended using panel data and alternative measures of labor market freedom. Practical implications In general, the finding that less intrusive government and greater labor freedom are associated with a reduced cost of living should not be surprising. This is because less government intrusion and greater labor freedom both inherently allow markets to be more efficient in the rationalization of and interplay with forces of supply and demand. Social implications The findings of this and future related studies could prove very useful to policy makers and entrepreneurs, as well as small business owners and public corporations of all sizes – particularly those considering either location in, relocation to, or expansion into other markets within the USA. Furthermore, the potential benefits of the National Right-to-Work Law currently under consideration in Congress could add cost of living reductions to the debate. Originality/value The authors extend the literature on cost of living differentials by investigating whether higher amounts of state-level labor market freedom act to reduce the states’ cost of living using the most recent annual data available (2016). That labor freedom has a systemic efficiency impact on the state-level cost of living is a significant finding. In our opinion, it is likely that labor market freedom is increasing the efficiency of labor market transactions in the production and distribution of goods and services, and acts to reduce the cost of living in states. In addition, unlike previous related studies, the authors investigate the impact of not only overall labor market freedom on the state-level cost of living, but also how the three sub-indices of labor market freedom, as identified and measured by Stansel et al. (2014, 2015), impact the cost of living state by state.


2019 ◽  
Vol 3 (1) ◽  
pp. 36-53
Author(s):  
Amanda Belarmino ◽  
Elizabeth A. Whalen

Purpose The purpose of this paper is to examine the impact of a charismatic political candidate on hotel revenue in the USA, particularly in their home states, through the lens of the bandwagon effect. Previous researchers have found that political primaries have a significant impact on hotel revenue due to travel to those states; however, there has yet to be an examination of the impact of popular political candidates on hotel revenue. Design/methodology/approach This research examined the impact of Bernie Sanders’ campaign on hotel revenue in the state Vermont due to the relatively stable demand experienced in that market. First, the researchers used forecasting methodology and t-tests to determine if there was a significant increase in hotel revenue during the time of the Sanders’ campaign for the state and for Burlington, Vermont, his campaign headquarters. Then, eight semi-structured interviews were conducted with hoteliers in Vermont to determine if the Sanders’ campaign was responsible for the observed changes. Findings While the hotel revenue for the state was not significantly different than what would be expected, the hotel revenue in Burlington did see a significant increase. Hoteliers did attribute an increased awareness of the destination and some specific instances of travelers to Sanders’ campaign. Originality/value This is the first study to date to demonstrate the influence of a political candidate on hotel revenue and demonstrated that the bandwagon effect can impact hotel revenue. For hoteliers, it demonstrates that increased destination awareness can impact behavioral intentions on a small scale.


2016 ◽  
Vol 6 (5) ◽  
pp. 499-519 ◽  
Author(s):  
Daniel Maderer ◽  
Dirk Holtbruegge ◽  
Rachel Woodland

Purpose The purpose of this paper is to explore the impact of brand associations on brand loyalty of fans toward professional football clubs in developed and emerging football markets (EFM). In particular, the following research questions are answered: how important are different determinants of brand associations for fans from developed football markets (DFM) and EFM? Are there any major differences in the importance of different brand associations and their influence on brand loyalty between fans from DFM and EFM? Design/methodology/approach Based on the customer-based brand equity framework the impact of brand associations on brand loyalty is tested with a sample of 3,587 fans from DFM – Germany, England, Spain, Italy, and France (2,032) – as well as fans from EFM – Brazil, Russia, India, China, and the USA (1,555). Findings Structural equation modeling is applied and shows a negative impact of brand attributes on attitudinal loyalty, whereas brand benefits positively impact attitudinal loyalty. Furthermore, significant differences between fans from developed and EFM are revealed. Implications for the management of football teams and for research on brand management are derived. Originality/value This study extends the work of Gladden and Funk (2001) by expanding the model used to assess brand loyalty and analyzes it empirically in different football markets. When looking to foster attitudinal loyalty, marketers should concentrate on benefit associations instead of attribute associations. Most importantly, marketers should be aware that when focusing on developing brand loyalty amongst EFM fans, they should not simply apply the same strategies that proved to be effective in DFM and vice versa.


2020 ◽  
Vol 15 (1) ◽  
pp. 1-14
Author(s):  
Linda Solem ◽  
Clive Diaz ◽  
Lauren Hill

Purpose Child neglect is the most common form of maltreatment but is also one of the most complex. Neglect has a long-term negative impact on children and young people’s development and wellbeing. This study examined 20 recent serious case reviews that had taken place in England where neglect was a feature. The purpose of this study is sought to explore the barriers, which exist for social workers in England in identifying and responding to neglect in a timely, appropriate and effective manner. Design/methodology/approach Thematic analysis identified four main themes that were likely to impact upon effective interventions. Findings Challenges in terms of the definition of neglect and how to identify it; the use of neglect toolkits; the impact of organisational cultures on practice and the voice of the child. Originality/value In spite of its prevalence there is a dearth of literature relating specifically to the issue of neglect. There is a need for further research to be undertaken because of the acknowledged, seriousness and potential longstanding negative impact on children even into adulthood (Horwath, 2013). It is hoped that this study provides a useful insight into some of the barriers that exist for social workers in working effectively with children and families for whom neglect is an issue.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benjamin Powers ◽  
Séverine Le Loarne-Lemaire ◽  
Adnane Maalaoui ◽  
Sascha Kraus

PurposeThis article contributes to the literature on entrepreneurship for people with disabilities through a better understanding of the impact of entrepreneurial self-efficacy perceptions on entrepreneurial intentions in populations with lower levels of self-esteem. It investigates the entrepreneurial intention and self-efficacy of a population of students suffering from dyslexia, which is a learning disability.Design/methodology/approachThe paper is based on the study of a data set of 796 male and female adolescents in the USA, aged 13–19 years, both with and without dyslexia. The sample is a convenient one. The whole sample replied to the questionnaire on their self-efficacy perception and their intention to create, one day, their own venture. They also self-declare their dyslexia. Regressions have been conducted to answer the research question.FindingsResults show that having dyslexia has a negative impact on entrepreneurial self-efficacy perceptions. They also reveal that self-efficacy perceptions mediate the relationship between dyslexia and entrepreneurial intentions and their three antecedents (social norms, control behavior and perceived ability).Research limitations/implicationsThe sample is composed of students from private schools and might socially be biased.Practical implicationsOur findings relaunch the debate on the necessity to develop education programs that consider the personal-level variables of students, specifically the development of entrepreneurial self-efficacy among adolescents with disabilitiesSocial implicationsSuch findings should help to better understand students who are suffering from dyslexia and help them find a place in society and economic life.Originality/valueThis is so far the first study that has been conducted on dyslexic adolescents.


Author(s):  
A.M. Turobov ◽  
M.G. Mironyuk

How does the state security system evolve under the influence of the artificial intelligence technology? To answer this question, an empirical model is proposed. The model evaluates the state security system (by the example of the USA) using the security consistency parameter, which estimates how the state perceives threats (indicator of threats) and whether the state has the necessary capabilities to counter them (indicator of capabilities) in relation to the artificial intelligence technology. The model (as well as the conceptualization of the artificial intelligence technology in the context of the security domain) provides evidence of how security transformations occur. It serves as a tool for studying the corresponding changes and assessing the state security system. It is necessary to indicate the limitation of the study: we do not consider direct military applications in the field of automation and algorithms (artificial intelligence technology). The validation of the empirical model has been undertaken using the case of the USA (eight-time intervals are subject to analysis, namely: 1999, 2002, 2006, 2010, 2012, 2015, 2017, 2019). With the development of the technology itself, the “interest” of the state and the definition of threats, as well as the rapid growth of the capabilities of the artificial intelligence technology (coincides with the years of maximum progress in computing power and the introduction of new algorithms) are growing, and since 2012, the dynamic has been linear, since more new “discoveries” have contributed to evolutionary rather than “revolutionary” growth trajectory. The developed model is scalable. This feature may be useful in the empirical security studies: the artificial intelligence technology within the model can be replaced with other types of digital technologies (for example, big data, cloud computing or 5 g connection technologies, etc.); thus, empirical models of security consistency under the impact of other technologies can be developed. The approach proposed allows to under take cross-country comparisons with respect to specific types of digital technologies and their interactions with the security domain.


2019 ◽  
Vol 22 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Henry Balani

Purpose This paper aims to analyze the impact of the introduction of anti-money laundering (AML) regulations on bank stock valuations in the USA. Regulations can have a negative impact on financial returns as a result of increased operational costs, potentially driving down stock valuations and loss of profitability. However, regulations can also have a positive impact on valuations because of greater oversight and increased investor confidence. Findings are useful for assessing the market impact of future regulations. Design/methodology/approach Event studies and cross-sectional regression analysis are used to determine the impact on bank stock valuations together with specific characteristics of bank size and geographic headquarter location of the bank for identified AML regulations. Hypothesis related to the impact of the introduction of AML regulations are empirically tested based on the statistical significance of cumulative abnormal returns of markets. Findings AML regulations introduced in 1998 had a positive impact on bank stock valuations, while the USA PATRIOT Act legislation of 2001 had a negative impact. These findings suggest that recent AML regulation is a cost compliance burden for banks, where the costs of operations outweigh the benefits of improved processes. Larger banks see a more negative impact on their bank stock valuations compared to smaller banks, suggesting the market perceives greater cost and less profit for larger banks. Results also show that the location of bank’s headquarters does not significantly impact bank stock valuations. Originality/value This paper specifically focuses on the impact of AML regulations on the US banking sector, providing investors, academics and regulators additional insight on the market dynamics of regulations. Identifying whether the introduction of regulations has a significant impact on a bank’s performance will provide both banks and regulators clarity as to the net benefits associated with the current and future AML legislation.


2016 ◽  
Vol 38 (2) ◽  
pp. 163-181 ◽  
Author(s):  
Katherine Karl ◽  
Joy Van Eck Peluchette ◽  
Leda McIntyre Hall

Purpose – The increasing prevalence of unconventional appearance attributes (e.g. tattoos, piercings, unnatural hair color, alternative clothing) is a concern among employers as these appearance attributes are often viewed negatively. Because much of the existing employee appearance research has been conducted in the USA, the purpose of this paper is to examine employee beliefs regarding the impact of unconventional employee appearance on customer perceptions of service quality in Mexico and Turkey. The authors also examine the impact of gender, age, and position level. Design/methodology/approach – The sample consisted of 295 white collar employees in various service industries in Turkey and Mexico. Respondents reported how they thought eight employee appearance factors (tattoos, facial piercings, unconventional hair color, unconventional hair styles, sweat pants, clothing with rips or tears, clothing that bears midriffs, belly-buttons, or cleavage, and uniforms) would affect customer perceptions of service quality. Findings – Employees in both Mexico and Turkey indicated that uniforms would have a positive impact on customer perceptions of service quality and all seven unconventional employee appearance attributes would have a negative impact. Significant differences for country, gender, age, and position level were also found. Research limitations/implications – Future research including a more diverse group of countries and cultures is needed. Future research should also attempt to control for differences in type of organization, organizational culture, and job type. Practical implications – Alternative fashion and appearance styles may be trendy but there are risks in how these might be perceived by customers and by colleagues at work. Originality/value – This study examines employee beliefs regarding the impact of a variety of unconventional employee appearance attributes on customers’ perceptions of service quality in Mexico and Turkey.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vladimir Klimanov ◽  
Sofia Kazakova ◽  
Anna Mikhaylova ◽  
Aliya Safina

PurposeThe purpose of the study was to analyze how COVID-19 pandemic affects regional budgets and regional fiscal resilience in Russia.Design/methodology/approachThe research article is structured as follows. Based on the official data from the Ministry of Finance, the Federal Treasure and the Accounts Chamber of the Russian Federation, first, the state of Russian regional budgets before and under COVID-19 is analyzed. Second, due to the increase of regional spending commitments under pandemic the regional debt dependence is reviewed. Third, anticrisis fiscal measures which have been taken to combat the negative impact of COVID-19 are discussed.FindingsIn general, 2020 may be the most difficult for regional budgets, although the results of the first quarter do not show such tension. However, the impact of COVID-19 on budget indicators is ambiguous because the economic crisis of 2020 is dual, including the crisis in the oil markets. The pandemic has become a unique global phenomenon, the effect of which is difficult to identify and interpret outside of the economic aspects of life.Originality/valueThe value of the article is based on the overview of the state of regional budgets before and under COVID-19, on the analysis of how pandemic affects fiscal resilience of the regional budgets and on the forecast of how serious the volume of lost revenues are going to be.


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