Vacancy Rates Research Articles

International Real Estate Review

The purpose of this study is to evaluate the impact of cross border real estate investments on the performance of the direct commercial property market in Australia. Using an autoregressive distributed lag (ARDL) model, factors including volume of cross border real estate investments, real gross domestic product (RGDP), office stock, and vacancy and net absorption rates are examined for their impact on total returns. The results indicate that traditionally established long-term drivers, including RGDP, office stock, and vacancy and net absorption rates, are still relevant. It is found that cross border real estate investments have impact on the performance of the direct commercial office property market in Australia. The results and findings would help property investors, developers, policymakers, and stakeholders in decision making around property investments. This research is an initial study that focuses on the impact that cross border real estate investments have on the performance of the direct commercial/office property market in Australia.

Contemporary Medical Practices at National Health Service (NHS)

The main aim of this study was to determine the impact of Brexit on the NHS service. Other objectives included an examination of some of the challenges that the NHS system might face while striving to assure better health outcomes in the post-Brexit era, as well as recommend some of the strategies that the institution could implement towards addressing the perceived challenges with which Brexit might be associated. Imperative to note is that the study employed the Games Theory to explain some of the effects that a country’s withdrawal from a continental bloc could have on its public service; including the health sector. It is further notable that this study relied on secondary data to collect and analyze information regarding the current and future impact of Brexit on the NHS. Indeed, most of the findings concurred with the current literature regarding the complexity and mixed outcomes surrounding the debate of Brexit versus NHS. On the one hand, some of the secondary sources consulted acknowledged that Brexit promises positive outcomes in terms of improved funding. Particularly, these studies contended that the £19 billion that the UK has been channeling to the EU could be redirected to other government priorities and public service in the UK, including the NHS. However, studies that argue that Brexit poses a negative impact on NHS suggest that future uncertainties surrounding the immigration status of EU-origin staff account for the mass exit. The studies hold further that the departure might lead to a significant increase in vacancy rates, with the cost of training nurses and doctors to replace the departing groups documented to exceed that which the UK would have incurred to import trained workers. Therefore, lasting solutions lie in the provision of adequate resources, political will, and the involvement of EU staff in feedback provision, cost-effective analyses of response strategies, and regular seminars and conferences that seek to sensitize workforces regarding the criticality of aligning their personal goals to the overall mission and vision of NHS. Whereas Brexit’s uncertainties reflect a looming crisis at the NHS, the manner in which senior leaders and managers will transform challenges into opportunities for improvement will shape the ability of the institution to emerge victorious.

Planning car-lite neighborhoods: Examining long-term impacts of accessibility boosts on vehicle ownership

Transformative technologies like automated vehicles, and emerging services like mobility-on-demand and ride-sharing, are changing the ecosystem of urban mobility. Land use-transport interaction (LUTI) models provide appropriate platforms to test the impacts of such services on cities. Although these services are purported to have mixed effects on cities, there is a general consensus that these services will increase accessibility. We approach the ‘car-lite’ policy through this lens of increased accessibility, and base this study in the city-state of Singapore. Different study areas are chosen in a manner similar to the differences-in-differences approach, in order to tease out the effects of initial neighborhood vacancy rate, vehicle-free behavior, and tight markets on policy impacts. We also design different scenarios that represent varying market reactions to the policy, and compare them to a baseline where the car-lite policy is never implemented. Study areas that are initially less ‘tight’ (i.e., have higher vacancy rates and lower vehicle-free rates) are found to have significantly larger transitions to vehicle-free behavior. Additionally, our finding of accessibility-induced gentrification speaks to the importance of considering the endogeneity in housing and mobility choices while formulating policies that may seemingly feel relevant only to the transportation realm. Providing appropriate mixes of housing typologies with adequate affordable housing, in addition to restricting car use for higher-income car-owning households, are suggested as strategies for designing car-lite neighborhoods.

ASHP national survey of pharmacy practice in hospital settings: Prescribing and transcribing-2019.

Results of the 2019 ASHP national survey of pharmacy practice in hospital settings are presented. Pharmacy directors at 4,863 general and children's medical/surgical hospitals in the United States were surveyed using a mixed-mode method of contact by email and mail. Survey completion was online, using an online survey application. IQVIA supplied data on hospital characteristics; the survey sample was drawn from the IMS Health hospital database. The response rate was 10.8%. Pharmacists are increasingly managing medication use in the areas of vancomycin therapy, antibiotic selection and dosing, and anticoagulation. Electronic health record (EHR) decision support is guiding prescribing, and nearly 50% of hospitals are customizing drug warnings. Adoption of compounding technology continues, with 43.6% of hospitals using technology in their sterile compounding processes. Nearly half of hospitals have active opioid stewardship programs, and pharmacists are leading these efforts. Specialty pharmacy operations are growing in health systems. Human resource commitments to support new services are increasing; however, vacancy rates for technicians are challenging. Staff credentialing continues to expand for pharmacist and technicians. Pharmacists continue to assume greater responsibility for writing medication orders, dosing, ordering laboratory tests, and monitoring outcomes. Health-system pharmacists are taking a leading role in addressing the opioid crisis, advancing safety in compounded sterile preparations through adoption of intravenous workflow technologies, and optimizing EHR applications to leverage clinical decision support tools to improve the safe prescribing and use of medications.

A quantitative phase-field model of gas bubble evolution in UO2

Due to the large formation energy of vacancies and noble gas atoms at interstitial and/or substitutional sites in nuclear fuel (UO2), the thermodynamic equilibrium concentrations of these species are very low in the nuclear fuel matrix even at very high temperature, which imposes difficulties upon the quantitative study of bubble evolution via the phase-field method. In this study, a quantitative phase-field model is proposed to deal with this problem. The free energy density of the system is derived according to the principles of thermodynamics, with consideration of the elastic interaction and internal pressure of each gas bubble, and with the use of material parameters from experiments. The model enables one to study the kinetics of gas bubble growth with very dilute concentrations of vacancy and gas atoms in the matrix. With this model, the growth of a single bubble and multiple bubbles were simulated under different concentrations of vacancy and gas atoms and at different temperatures. The effect of elastic interaction energy and the generation rate of vacancies and gas atoms on bubble growth are analyzed.

Multivariate time series analysis of traffic congestion measures in urban areas as they relate to socioeconomic indicators

Traffic congestion has significant adverse implications for the environment and economy. Many state and local transportation agencies have implemented traffic congestion management practices to alleviate the negative implications of urban traffic. One of the major drawbacks of traffic congestion management practices is that they do not account for socio-demographic and economic factors, which have a significant impact on traffic congestion. Understanding the influence of these factors is very crucial because they can help to communicate the system's performance management and target setting. Only a few studies analyzed the relationship between traffic conditions (e.g., traffic demand and vehicular traveling speed) with a limited number of socio-economic factors. Moreover, most of the existing models ignore the temporal and spatial autocorrelations of traffic congestion, which may significantly limit their reliability and effectiveness. This study is developed with the purpose of identifying the most relevant external factors that affect traffic congestion performance measures. To conduct the research, we have used three urban congestion performance measures collected from 51 metropolitan areas across the U.S. over a four-year period, 2013–2016: travel time index, planning time index, and congested hours. We have used multivariate time series models to account for the complex inter-relationships among the performance measures and socioeconomic factors to identify the most influential factors affecting system performance. We have finally developed predictive models to estimate the traffic congestion measures using these factors. The results of rigorous modeling show that the factors influencing the traffic congestion measures are monthly average daily traffic (MADT), the number of employed, rental vacancy rate, building permits, fuel price index, and Economic Conditions Index (ECI). The prediction models indicated that the effects of these factors are statistically significant and could be used to forecast future trends in three performance measures accurately.

How do job vacancy rates predict firm performance? A web crawling massive data perspective

Traditionally, the relationship between a firm's performance and its business strategy is studied using structured data taken from proxy statements and financial reports. However, there have been increasing efforts to explore the linkages between corporate outcomes and unstructured information, such as text or image/audio/video files. Until recently, semi-structured data had been largely overlooked. Given that a substantial amount of such data can be extracted using web crawler techniques and then processed using big data solutions, the current study employed this procedure to investigate whether dynamic job vacancy postings by Taiwanese publicly listed companies are associated with subsequent stock returns and operating ratios. We report that new job openings foreshadow a firm's operating performance, both indirectly, by boosting stock prices, and directly, by signaling positive developments. This finding remains robust to tests addressing endogeneity concerns and the adoption of alternative specifications. We thus shed light on the role of metadata in financial analysis.

The role of hydrogen peroxide dipping in structural and electrical properties of calcium strontium titanate-based ceramics

Hydrogen peroxide (H2O2, 30%) dipping treatment was conducted on Mn-doped Ca0.6Sr0.4TiO3 (CST) in this research, to modify the concentration of oxygen vacancies in dielectric ceramics. Structure characterization, including XRD, SEM, IR, and XPS, indicated minimal effect of H2O2 dipping on phase structure and grain size, while revealed a chemical reaction between H2O2 and the surface of CST. Electrical properties of the grain region remained unchanged after treatment, while the grain boundary region was sensitive to H2O2 dipping, due to faster diffusion rate of oxygen vacancies in grain boundary region. In addition to that, the bulk insulating properties was found to be dominated by grain boundaries.

Mexico’s housing crisis: vacancy, limited access & Deaf policy responses

ABSTRACT During the 2000s, millions of Mexicans acquired mortgages to buy homes in the fringes of cities throughout the country. Many such households have faced limited access to services, infrastructure and employment, and have seen their monthly mortgage payments increase while their debt remains virtually unchanged. In parallel, while about a third of Mexicans still live in poor housing conditions, numerous newly built developments have exhibited alarmingly high housing vacancy rates. Such coexistence of housing vacancy and shortages exposes considerable tensions in Mexican housing policy between the social and the economic values of housing. While previous analyses have centred on the financialization of housing policy in Mexico, this paper examines some of the local, political and socioeconomic implications of recent federal housing finance policy and urban development patterns, particularly as they relate to housing access and vacancy. Furthermore, this paper discusses the more recent evolution of Mexico’s housing and urban development policy, as well as the juxtaposition of the institutional and civic responses that have emerged to make front to previous financialization and housing development patterns and their implications.

Predictors of Annual and Early Separations Among Direct Support Professionals: National Core Indicators Staff Stability Survey.

Direct support professionals (DSPs) provide a broad range of supports in a variety of settings to people with intellectual and developmental disabilities (IDD) that enables people to live, work, and participate in their communities. Despite the crucial importance in ensuring supports for community participation of people with IDD, high rates of annual turnover among DSPs in organizations that employ them have been documented for decades. This study utilizes National Core Indicators Staff Stability data from 2016 to examine the impact of organizational- and state-level factors related to DSP turnover, including annual DSP turnover and the percentage of DSPs who left their positions after less than 6 months. At the organizational level, a higher turnover rate in the last 12 months was significantly related to lower DSP wages and to not offering health insurance. At the state level, a higher turnover rate in the last 12 months was significantly related to a lower percentage of people living in individualized settings and lower per capita Medicaid spending. For early turnover at the organizational level, a higher percent of leavers within 6 months of tenure was significantly related to not offering paid time off and health insurance, higher vacancy rates, higher proportion of part-time DSPs, and lower overall staff sizes.

A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles

Land use–transportation interaction models can be useful planning support systems to assess the long-term implications of emerging transportation technologies like mobility-on-demand and automated vehicles. We propose an agent-based simulation framework ( SimMobility Long-Term) that uses econometrically robust behavioral models to model the potential impacts of accessibility changes in “car-lite” communities on the choice of housing-mobility bundles. Residential relocation and private mobility holding decisions are jointly considered in a sequential simulation modeling approach. Different types of market responses to the car-lite pilot are modeled through various scenarios via assumptions of changes in model parameters, and compared to a baseline where the car-lite pilot is never implemented. A comparatively vehicle-free study area with a low vacancy rate is chosen to obtain conservative estimates of policy impacts. Our findings indicate that initial awareness of the pilot is quite effective in making the study area more vehicle-free relative to the baseline. However, as market effects start impacting housing prices and bidding results, the vehicle-free gains are significantly reduced due to neighborhood gentrification. In conclusion, we highlight how land use–transportation interaction models can be used to explore market dynamics to see where market pressures matter, along with the need to align car-lite policies with market conditions regarding vacancy and car ownership rates.

Influence of short-term rainfall forecast error on flood forecast operation: A risk assessment based on Bayesian theory

To study rainfall forecast error’s influence on flood operation, short-term (24 hours ahead) rainfall forecast accuracy in Qian river basin were analyzed, probabilities of event on flood operation risk were estimated based on Bayesian theory, and the dynamic control scheme was discussed. Results show that, accuracy rate and missing report rate decreased while vacancy rate increased with the increase of rainfall forecast magnitude. For flood operation based on current rainfall forecast information of different magnitudes, level I (“no rain”) error nearly has no impact on it, level II (“light rain”) error has a little impact on small flood operation, and level III (“no less than moderate rain”) error has a great impact on large flood. For the dynamic control scheme in flood season, it is not necessary to discharge flood ahead of schedule so that limited water level can be kept at the upper boundary to provide higher potential energy for power generation when forecasting rainfall shows “no rain” or “light rain”, while it should be discharged ahead of schedule so that limited water level can be kept at a lower value to ensure an adequate flood storage capacity when forecasting rainfall shows “no less than moderate rain”.

Cenário atual da covid-19 no estado do Ceará, Brasil

A covid-19 apresenta relação com a síndrome respiratória aguda causada pelo novo coronavírus, vírus de RNA, possuindo alta capacidade de transmissão. O presente estudo objetivou analisar o cenário da taxa de ocupação de leitos decorrente da covid-19 no estado do Ceará, Brasil. Trata-se de estudo descritivo, de análise do cenário da taxa de ocupação de leitos decorrente da covid-19 no estado do Ceará, Brasil. Ressalta-se que muitos dos pacientes aguardam testagem para covid-19. Buscou-se identificar o perfil dos serviços disponíveis na capital, Fortaleza. A coleta dos dados ocorreu no dia 14 de abril de 2020, nos sites IntegraSus e Coe-Covid-19. A atualização do boletim epidemiológico do dia 14 de abril de 2020, apresentou 2.044 casos confirmados, segundo data do início dos sintomas; 1.878 casos novos confirmados, segundo data do resultado do exame, 111 óbitos, 5,43 letalidade, 62 municípios com casos confirmados, 11.954 quantidade de exames e 9.242 casos supeitos. Outros equipamentos de saúde apresentam altas taxas de vagas já em ocupação desde janeiro, antes da chegada do vírus, por demandas de rotina. A maior incidência de internados são do sexo masculino (57,5%) e entre ambos os sexos, acima de 45 anos. Com concentração do número de casos em Fortaleza, 59 internados e 1.794 casos confirmados da doença, seguido de Caucaia (39 casos), Maracanaú (35 casos) e Aquiraz (30 casos). Pode-se concluir um cenário de preocupação diante de poucos leitos disponíveis, face de um possível colapso com a incidência dos casos mais graves da doença que necessitam de suporte adequado.

The Demand for Individual Grievance Procedures in Germany and Spain: Labour Law Changes versus Business Cycle

In this article, we analyze the determinants of annual number of grievance procedures, mainly individual complaints against unfair dismissals. Econometric analyses using two balanced panels from the 11 West German states (1964- 2006) and the 17 autonomous regions of Spain (1987-2006) show that labour market characteristics, such as the unemployment and the vacancy rate have a much stronger influence on the cyclical demand for individual grievance procedures than changes in “workers’ rights”. Thus, the individual costs of unemployment are better predictors of the demand for individual grievance procedures than institutional changes strengthening or weakening employees’ rights.

Predictive Hiring to Maintain Excellence in Patient Care.

The purpose of this research study was to design and pilot a predictive hiring model to improve the hospital's operational vacancy rate and reduce premium pay expenses. According to Purcell, the average nursing turnover rate is at 18.2%, and the new-graduate nurse turnover rate is higher at 35%. With turnover rates high for nurses, the importance of recruiting, hiring, and training the new nurse needs to be completed as soon as possible. Often, a nurse manager cannot interview and hire into a position until it is vacated. Premium pay including overtime is typically used to cover the time from the position being vacated until the next nurse is trained. This was a pretest/posttest design with a predictive hiring model intervention. The intervention was a 3-pronged approach that consisted of a strategy for recruiting graduate nurses, hiring to operation vacancy rates, and utilizing a predictive hiring method. Operational vacancy is a calculation to determine if a department has the right amount of hired labor available to work scheduled shifts without having to routinely rely on agency nurses and/or premium pay. These are people ready to work. The hospital significantly decreased premium pay and eliminated the use of agency nurses by implementing a predictive hiring model tailored to the department's operational vacancy. A predictive model is a useful vehicle in assisting nurse managers to plan and replace positions more quickly. The model needs continued testing to support application beyond the testing site.

Urban vacant land in growing urbanization: An international review

Urban growth and shrinkage constitute the overall pattern of growing urbanization across the globe. Studies on urban vacant land (UVL) are few, and have proved to be mainly rudimentary and subjective. This paper first presents the definition of UVL based on bibliometric analysis. Typology, morphology, proximate causes, and the multiple functions of UVL are then analyzed at parcel, transect, city, and national levels based on an international review. Results show that UVL can be categorized by land cover, land usage, and land ownership. Worldwide, UVL has been widespread and extensive. For example, the occurrence probabilities of UVL in the cases of Guangzhou and New York are 8.46%–8.88% and 3.17%–5.08%, respectively. The average vacancy rate of residential land amounts to 11.48% in 65 U.S. cities. Generally, UVL shows fragmentation and irregular shape, and significant spatial differences exist at parcel, transect, city, and national levels. Proximate causes, such as excessive land division, irregularly shaped land parcels, decreases in resident population, deindustrialization, land speculation, insufficient investment, and environmental concerns, can all result in UVL. Currently, UVL has become a gray area of social, economic, and ecological space. However, it can also be considered a potential resource for enhancing urban sustainability. Policy implications to promote urban sustainability using monitoring, control, and differential revitalization of UVL are presented.

How the Law Can Better Protect Small Business Owners Against Location Risk in the Brick-and-Mortar Retail Sector

This Article examines how the law can help reduce retail vacancy rates in volatile urban real estate markets. Two potential drivers of high vacancy rates along retail corridors in otherwise healthy real estate markets are identified: (1) location risk, and (2) positive feedback effects. The inclusion of a percentage rent provision in a commercial lease better allocates location risk, especially for small business owners, than fixed rent. In some cases, the formation of a joint venture between landlord and retail tenant may represent the optimal response to location risk. To address positive feedback effects in which each storefront vacancy increases the likelihood of an additional storefront vacancy, a case is made for limited, narrowly tailored government intervention. This Article considers other legislative responses to the problem of vacant retail storefronts, including vacant property taxes, commercial rent control, and zoning reclassification, and examines the advantages and disadvantages of each.

Results of the 2019 Survey on Perceptions of Vacancy and Turnover Among Perfusionists in the United States

A large number of recent publications and presentations have focused on impending workforce issues that surround the field of perfusion. Vacancy and turnover rates, which provide a picture of the current workforce status and serve as a benchmark for comparison with past and future equilibrium, have not been examined. The purpose of the 2019 Vacancy and Turnover study was to identify current staffing trends among a cohort of perfusionists in the United States, as well as the factors affecting these trends. A vacancy and turnover survey was conducted during January and February of 2019. The survey required participants to answer several questions designed to determine vacancy and turnover during the prior 1-year period. Questions related to the vacancy and turnover rates of perfusionists were reported with descriptive statistics, including the means, medians, standard deviations, and range of scores. The study collected 502 responses, of which 484 met all inclusion criteria. Vacancy and turnover rates were analyzed by state, region, employer type, group size, and salary range. In summary, the vacancy rate for all perfusion groups in this survey was 12.3%, with a turnover rate of 14.7%. This investigation explores differences in vacancy and turnover among different subgroups based on state, region, employer, practice size, and salary range. Data from this study are presented as a guide to assist stakeholders in determining the best course of action with regards to staffing of perfusion services and how to plan for future needs.

Results of the 2019 Survey on Perceptions of Vacancy and Turnover Among Perfusionists in the United States.

A large number of recent publications and presentations have focused on impending workforce issues that surround the field of perfusion. Vacancy and turnover rates, which provide a picture of the current workforce status and serve as a benchmark for comparison with past and future equilibrium, have not been examined. The purpose of the 2019 Vacancy and Turnover study was to identify current staffing trends among a cohort of perfusionists in the United States, as well as the factors affecting these trends. A vacancy and turnover survey was conducted during January and February of 2019. The survey required participants to answer several questions designed to determine vacancy and turnover during the prior 1-year period. Questions related to the vacancy and turnover rates of perfusionists were reported with descriptive statistics, including the means, medians, standard deviations, and range of scores. The study collected 502 responses, of which 484 met all inclusion criteria. Vacancy and turnover rates were analyzed by state, region, employer type, group size, and salary range. In summary, the vacancy rate for all perfusion groups in this survey was 12.3%, with a turnover rate of 14.7%. This investigation explores differences in vacancy and turnover among different subgroups based on state, region, employer, practice size, and salary range. Data from this study are presented as a guide to assist stakeholders in determining the best course of action with regards to staffing of perfusion services and how to plan for future needs.

Research on Optimization Configuration of Taxi Resources Based on Matching Model

“Difficulty in taxiing” has always been a concern of the society in recent years. This paper discusses the current situation of resource allocation of taxis and the impact of taxi company subsidy programs on the difficulty of taxiing, and then introduces a better subsidy program. We first collected data based on the Drip, fast intelligent travel platform, plotted the image, calculated the average of the taxi distribution and passenger demand at each time point, and carried out tracing and analysis. On this basis, the matching model is established: the idea of nearest neighbor” is introduced, and the time points that are difficult to get a taxi are concentrated at 8-10 am, 16 pm, and 19 pm. Then analyze the subsidy program data, taxi drivers and passengers after using the taxi software, taxi vacancy rate, passenger waiting time and changes in the economic benefits of taxi drivers and passengers, etc., after analysis, we found the existence of subsidy programs can fully mobilize the enthusiasm of drivers and passengers to use the software, so that the number of people using the software continues to increase, which not only shortens the waiting time for passengers to take a taxi, but also reduces the driver’s vacancy rate, so it can effectively alleviate the problem of difficult driving.