Do public subsidies and facility coverage matter for voluntary sports clubs?     

《Sport Management Review》2020,23(2):315-329

In many countries, voluntary sports clubs are the main recipients of public subsidies regarding the provision of recreational sport, and the economically most important level of government is usually the local government (i.e. the municipalities). The purpose of this article is to examine whether and how municipal framework conditions matter for sports clubs. Inspired by previous studies, we examine the role of direct and indirect public subsidies as well as facility coverage. The authors conduct analyses on a general level (for all sports) and specifically for five sports (badminton, football, gymnastics, handball and swimming). The differentiation between sports allows us to examine how municipal framework conditions might be associated differently with density and participation across sports. In the statistical analyses, the authors apply data collected among all 98 Danish municipalities. The results show that the municipal levels of direct and indirect subsidies are weakly correlated with both the density of and participation in sports clubs, while stronger correlations can be identified with regard to facility coverage. The analyses for the five sports reveal that the supply of relevant facility types is – with few exceptions – positively correlated with sports club density and participation levels within each sport. Thus, facility coverage seems to play a more important role for sports clubs than the levels of indirect and particularly direct subsidies.  相似文献   

Assisting,Instructing, Assessing: 21st Century Student Centered Librarianship     

Lauren Newton  Daniel E. Feinberg 《The Reference Librarian》2020,61(1):25-41

ABSTRACT

For librarians at the University of North Florida, there was a need to move beyond information literacy instruction to one-on-one and small group research consultations to aid in student success. By staffing the research desk with staff and students, librarians were able to open their calendars to allow more time for in-person, phone, and online consultations to aid in meeting the research goals of students at the institution. After assessing the research consultation program for two years, there has been a positive correlation between research consultation usage, satisfaction in completing assignments, and student success measures throughout the university.  相似文献   

多元自主模块教学模式在高校公共体育课堂的应用研究     

谭佳智  张春志 《当代体育科技》2020,(12):196-197

以体育课堂作为德、智、体、美、劳人才的全面培养的核心因素为点,从高校公共体育课堂出发,运用文献资料研究法、专家访谈法及实地考察法等研究方法,从多元化的教学角度、模块化的教学构成为研究主体,探寻多元化自主模块教学模式在高校公共体育课堂的可行性及可持续性,为新时代下高效的课堂教学模式及教学理念发展提供助力。  相似文献   

试析农村公共体育服务供给侧结构性改革路径     

孙慧霞 《当代体育科技》2020,(11):16-17

农村公共体育服务供给侧改革有利于缓解公共体育服务供给和需求之间的矛盾,推进农村体育事业的繁荣发展。本文以供给侧结构性改革为视角,概述了当前农村公共体育服务现状,分析了农村公共体育服务供需矛盾的主要表现,提出了农村公共体育服务供给侧结构性改革实践路径。  相似文献   

公共室外健身器材的安全性分析与研究     

于航海  扈静  刘高志 《当代体育科技》2020,(12):206-206,209

近年来,随着我国全民健身计划的推行,很多公共场所安装了各式各样的室外健身器材,丰富了人们的体育健身活动,增强了肌肉力量和身体的柔韧性,提高了人们的身体素质。然而,在室外健身器材的使用过程中,人们受伤的案例很多。其质量状况也引起了人们的担忧。本文分析了公共室外健身器材的质量现状,并提供了相关的解决对策。  相似文献   

公共图书馆茶文化阅读推广探究——以济南泉茶文化推广为例     

吴伟  张咏梅  曹艺 《山东图书馆季刊》2020,(2):71-75,85

茶文化作为中华优秀传统文化的代表之一,在新时代的大潮下应不断传承发扬。公共图书馆作为文献信息的传播枢纽,作为文化传承、传播和创新的重要基地,理应在茶文化传播工作中扮演重要角色。本文以实践工作为例,根据泉茶文化特点,通过开展读者调查,打造了茶文献特色专架,开展了沙龙、讲座、展演等活动,构建了包括开放性、综合性、体验性和生活化特点的“OCEL”公共图书馆特色茶文化阅读推广模式,助力茶文化阅读推广。  相似文献   

No public value without a valued public     

Bettina Lis  Heinz-Werner Nienstedt  Christoph Günster 《媒体管理杂志》2018,20(1):25-50

This study aims to enlighten the controversial discussion about the term public value in an innovative way. Instead of normative pronouncements and paternalistic posits, this study combines a theoretical, literature-based conception with an empirical quantitative approach. For this, the key term, public value, is split into its constituent parts of customer value and citizen value and is transformed into measurable attributes. By means of a choice-based conjoint analysis on panel data for Germany and the United Kingdom, we explore which performance attributes of public service broadcasters are the most important. Based on the results, we create a conception of public value from the perspective of the license fee payers as the main stakeholder of public service broadcasters. Our findings may unlock existing potential to increase our understanding of what is meant by the term public value.  相似文献   

Meeting Information Needs through Global Partnerships: A Roadmap to Becoming a Global Health Sciences Library     

Nandita S. Mani  Megan Fratta  Rebecca Carlson  Michelle Cawley 《图书馆管理杂志》2020,60(7):830-851

Abstract

Supporting global health priorities through the development of robust health science librarianship partnerships is of significant importance. Increased demand for synthesizing evidence-based information, collating quality resources, and increasing research productivity to improve human health requires integration of library and information science skills and expertise. The Health Sciences Library (HSL) at the University of North Carolina at Chapel Hill (UNC), exists to be an indispensable partner in health information and knowledge, teaching and learning, and research. As global efforts at UNC expanded, the HSL sought to ensure that our global engagement strategy and integration were aligned with campus priorities and partner needs. The HSL created a global research partnership plan: identify resources that improve efficiency, increase access to information, build in-country capacity and expertise—all while strengthening collaborations across multiple countries. Creating a meaningful and sustainable engagement strategy was central to envisioning our path forward and can be used as a framework for consideration by librarians in similar settings.  相似文献   

Drug overdose and child maltreatment across the United States’ rural-urban continuum     

《Child abuse & neglect》2018

This national study of US counties (n = 2963) investigated whether county-level drug overdose mortality is associated with maltreatment report rates, and whether the relationship between overdose mortality and maltreatment reports is moderated by a county’s rural, non-metro or metro status. Data included county-level 2015 maltreatment reports from the National Child Abuse and Neglect Data System, modeled drug-overdose mortality from the Centers for Disease Control, United States Department of Agriculture Rural-Urban Continuum Codes, US Census demographic data and crime reports from the Federal Bureau of Investigation. All data were linked across counties. Zero-inflated negative binomial (ZINB) regression was used for county-level analysis. As hypothesized, results from the ZINB model showed a significant and positive relationship between drug overdose mortality and child maltreatment report rates (χ = 101.26, p < .0001). This relationship was moderated by position on the rural-urban continuum (χ=8.76, p = .01). For metro counties, there was a 1.9% increase in maltreatment report rate for each additional increment of overdose deaths (IRR=1.019, CI=[1.010, 1.028]). For non-metro counties, the rate of increase was 1.8% higher than for metro counties (IRR=1.018, CI=[1.006, 1.030]); for rural counties, the rate of increase was 1.2% higher than for metro counties (IRR=1.012, CI=[0.999, 1.026]). Additional research is needed to determine why the relationship between drug overdose mortality and maltreatment reports is stronger in non-metro and rural communities. One potential driver requiring additional inquiry is that access to mental and physical health care and substance use treatment may be more limited outside of metropolitan counties.  相似文献   

Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities     

《International Journal of Information Management》2021

Energy efficiency of public sector is an important issue in the context of smart cities due to the fact that buildings are the largest energy consumers, especially public buildings such as educational, health, government and other public institutions that have a large usage frequency. However, recent developments of machine learning within Big Data environment have not been exploited enough in this domain. This paper aims to answer the question of how to incorporate Big Data platform and machine learning into an intelligent system for managing energy efficiency of public sector as a substantial part of the smart city concept. Deep neural networks, Rpart regression tree and Random forest with variable reduction procedures were used to create prediction models of specific energy consumption of Croatian public sector buildings. The most accurate model was produced by Random forest method, and a comparison of important predictors extracted by all three methods has been conducted. The models could be implemented in the suggested intelligent system named MERIDA which integrates Big Data collection and predictive models of energy consumption for each energy source in public buildings, and enables their synergy into a managing platform for improving energy efficiency of the public sector within Big Data environment. The paper also discusses technological requirements for developing such a platform that could be used by public administration to plan reconstruction measures of public buildings, to reduce energy consumption and cost, as well as to connect such smart public buildings as part of smart cities. Such digital transformation of energy management can increase energy efficiency of public administration, its higher quality of service and healthier environment.  相似文献