scholarly journals El sector privado del deporte en España: Relación con población, producción y renta (The private sector of sport in Spain. Relationship with population, production and income)

Retos ◽  
2015 ◽  
pp. 71-77 ◽  
Author(s):  
Iván Martínez-Lemos ◽  
Vicente Romo-Pérez
Keyword(s):  
Private Sector ◽  
Descriptive Analysis ◽  
Explanatory Power ◽  
Total Production ◽  
Economic Activities ◽  
Autonomous Communities ◽  
Non Profit ◽  
Explanatory Variables ◽  
Per Capita

El objetivo general del presente trabajo fue describir el sector privado de actividades deportivas de naturaleza asociativa y mercantil en España y analizar su relación con indicadores de población, producción y renta de las comunidades autónomas (CA). Se utilizaron como fuentes estadísticas el directorio central de empresas (DIRCE) del Instituto Nacional de Estadística (INE) y la clasificación nacional de actividades económicas (CNAE). La muestra estuvo compuesto por el total de unidades productivas censadas en el DIRCE como grupo 931 del CNAE (Actividades Deportivas) para el año 2012 (n=18167). Se llevó a cabo un análisis descriptivo, de correlación parcial y de regresión lineal para analizar la capacidad explicativa de alguno de los indicadores analizados (población, producción y renta) sobre el tamaño y distribución del grupo 931. Los resultados reflejan que el 74.5 % del sector corresponde a personas jurídicas y que el 56.7% a empresas con asalariados, de las cuales el 79% tiene una plantilla inferior a los 10 trabajadores. El 70% del sector está concentrado en torno a las seis CA con mayor población y producto interior bruto (PIB). Dos indicadores, población y producción, han resultado variables explicativas del número de unidades productivas. Sin embargo el indicador de renta ó PIB per cápita (PIBP) no ha mostrado ninguna relación con el tamaño y distribución de la muestra analizada.Abstract. The general aim of this study was to describe the private sector of non-profit and profit sports in Spain, and analyse its relationship with population, production and income indicators from autonomous communities (AC). The Central Enterprise Directory (CED) of the National Statistics Institute (NSI) and the National Classification of Economic Activities (NCEA) were used as statistical sources. The sample consisted of the total production units surveyed in the CED as the NCEA group 931 (Sports Activities) for the year 2012 (n = 18167). A descriptive analysis, partial correlation and linear regression was conducted to analyse the explanatory power of indicators (population, production and income) on the size and distribution of the group 931. The results showed that 74.5% of the sector were legal persons and 56.7% companies with employees, of which 79% has a staff of less than 10 workers. The 70% of the sector is concentrate around the six AC with larger population and Gross Domestic Product (GDP). Two indicators, population and production, have resulted in an explanatory variables on the number of production units. However, the income indicator GDP per capita did not shown any association with sample size and distribution.

scholarly journals Acceptance Tendency of High-Level Taxis: From the Passengers’ Perspective

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Rong-Chang Jou ◽  
Ke-Hong Chen
Keyword(s):  
Stated Preference ◽  
Explanatory Power ◽  
Multinomial Logit Model ◽  
Model Estimation ◽  
Service Levels ◽  
Explanatory Variables ◽  
Taxi Service ◽  
High Level ◽  
Taiwan Region

In the present study, we used the stated preference approach to design different situations, including appearance, different services, and different times to further explore passengers’ acceptance of and expected price to be paid for taxi service levels. In addition to using general ordered models, the results of this study were also compared with the multinomial logit model and the partial proportional odds (PPO) model. The results of comparison between the models ultimately revealed that the PPO model statistically had a better explanatory power. In the model estimation results, the key explanatory variables included the ability to recognize the appearance, seating space, honorable service, the development of user payment concepts, and demographic grouping, all of which could increase acceptance. The results obtained in this study could provide a key reference for the classification of taxis in the Taiwan region and serve as a basis for the development of strategies by operators in the future.

Explanatory Power for Medical Expert Systems: Studies in the Representation of Causal Relationships for Clinical Consultations

1982 ◽  
Vol 21 (03) ◽  
pp. 127-136 ◽  
Author(s):  
J. W. Wallis ◽  
E. H. Shortliffe
Keyword(s):  
Explanatory Power ◽  
Prototype System ◽  
Inference Rules ◽  
Medical Expert ◽  
Comprehensive Knowledge ◽  
Different Types ◽  
Medical Expert Systems ◽  
Explanation System ◽  
Systems Studies

This paper reports on experiments designed to identify and implement mechanisms for enhancing the explanation capabilities of reasoning programs for medical consultation. The goals of an explanation system are discussed, as is the additional knowledge needed to meet these goals in a medical domain. We have focussed on the generation of explanations that are appropriate for different types of system users. This task requires a knowledge of what is complex and what is important; it is further strengthened by a classification of the associations or causal mechanisms inherent in the inference rules. A causal representation can also be used to aid in refining a comprehensive knowledge base so that the reasoning and explanations are more adequate. We describe a prototype system which reasons from causal inference rules and generates explanations that are appropriate for the user.

Analisis SWOT (Strength, Weakness, Opportunities, Threats) Melalui Inkuiri Terbimbing Pada Materi Kegiatan Ekonomi Mahasiswa Pendidikan Guru Sekolah Dasar

2019 ◽  
Vol 1 (2) ◽  
pp. 141
Author(s):  
Iis Yeni Sugiarti
Keyword(s):  
Swot Analysis ◽  
Descriptive Analysis ◽  
Qualitative Approach ◽  
Guided Inquiry ◽  
Analysis Method ◽  
Economic Activities ◽  
External Analysis ◽  
High Level ◽  
Center Area ◽  
Trade Competition

Abstrak. Desa Trusmi merupakan sentra batik sekaligus kuliner di Kabupaten Cirebon. Banyaknya pemegang usaha di bidang produksi batik mengakibatkan persaingan dagang diwilayah tersebut. Penelitian ini bertujuan untuk menganalisis SWOT (Strength, Weakness, Opportunities, Threats)  di salah satu usaha batik milik H. Edi Baredi atau sering dikenal dengan EB Batik Tradisional melalui inkuri terbimbing. Analisis meliputi profil usaha, aspek produksi, aspek tenaga kerja, aspek pemasaran dan aspek keuangan. Jenis penelitian ini menggunakan pendekatan kualitatif dengan metode deskripstif analisis. Berdasarkan analisis internal dan eksternal analisis SWOT, strategi yang  dilakukan oleh EB Batik Tradisional yaitu menghindari kehilangan penjualan dan profit yang disebabkan banyaknya persaingan dagang di kawasan sentra batik Trusmi dengan munculnya inovasi baru. Penguatan karakter pada produksi batiknya dapat mengatasi pesaingan dagang dan menambah daya tarik pembeli. Kata Kunci: SWOT, Inkuiri Terbimbing, dan Kegiatan Ekonomi Abstract. Trusmi village is a center of batik as well as culinary in Cirebon Regency. A large number of business holders in the field of batik production has resulted in trade competition in the region. This study aims to analyze SWOT (Strength, Weakness, Opportunities, Threats) in one of the batik business owned by H. Edi Baredi or often known as EB Traditional Batik through guided injury. The analysis includes the business profile, production aspects, labor aspects, marketing aspects, and financial aspects. This type of research uses a qualitative approach with descriptive analysis method. Based on internal and external analysis of the SWOT analysis, the strategy carried out by EB Traditional Batik is to avoid losing sales and profits due to the high level of trade competition in the Trusmi batik center area with the emergence of innovations. Strengthening the character of batik production can overcome trade competition and increase the attractiveness of buyers. Keywords: SWOT, Guided Inquiry, and Economic Activities

scholarly journals Correlating elements content in mosses collected in 2015 across Germany with spatially associated characteristics of sampling sites and their surroundings

2019 ◽  
Vol 31 (1) ◽  
Author(s):  
Stefan Nickel ◽  
Winfried Schröder
Keyword(s):  
Land Use ◽  
Population Density ◽  
Atmospheric Deposition ◽  
Vegetation Structure ◽  
Urban Areas ◽  
Explanatory Power ◽  
Spatial Density ◽  
Area Index ◽  
Explanatory Variables ◽  
Tree Layer

Abstract Background The aim of the study was a statistical evaluation of the statistical relevance of potentially explanatory variables (atmospheric deposition, meteorology, geology, soil, topography, sampling, vegetation structure, land-use density, population density, potential emission sources) correlated with the content of 12 heavy metals and nitrogen in mosses collected from 400 sites across Germany in 2015. Beyond correlation analysis, regression analysis was performed using two methods: random forest regression and multiple linear regression in connection with commonality analysis. Results The strongest predictor for the content of Cd, Cu, Ni, Pb, Zn and N in mosses was the sampled species. In 2015, the atmospheric deposition showed a lower predictive power compared to earlier campaigns. The mean precipitation (2013–2015) is a significant factor influencing the content of Cd, Pb and Zn in moss samples. Altitude (Cu, Hg and Ni) and slope (Cd) are the strongest topographical predictors. With regard to 14 vegetation structure measures studied, the distance to adjacent tree stands is the strongest predictor (Cd, Cu, Hg, Zn, N), followed by the tree layer height (Cd, Hg, Pb, N), the leaf area index (Cd, N, Zn), and finally the coverage of the tree layer (Ni, Cd, Hg). For forests, the spatial density in radii 100–300 km predominates as significant predictors for Cu, Hg, Ni and N. For the urban areas, there are element-specific different radii between 25 and 300 km (Cd, Cu, Ni, Pb, N) and for agricultural areas usually radii between 50 and 300 km, in which the respective land use is correlated with the element contents. The population density in the 50 and 100 km radius is a variable with high explanatory power for all elements except Hg and N. Conclusions For Europe-wide analyses, the population density and the proportion of different land-use classes up to 300 km around the moss sampling sites are recommended.

scholarly journals Knowledge Management Practices for Sustainable Supply Chain Management: A Challenge for Business Education

2021 ◽  
Vol 13 (5) ◽  
pp. 2956
Author(s):  
Tomas Cherkos Kassaneh ◽  
Ettore Bolisani ◽  
Juan-Gabriel Cegarra-Navarro
Keyword(s):  
Knowledge Management ◽  
Management Practices ◽  
Descriptive Analysis ◽  
Sustainable Supply Chain ◽  
Business Managers ◽  
Environmentally Sustainable ◽  
Critical Resource ◽  
Knowledge Management Practices ◽  
Future Business

In the last decades, business competition has been increasingly among supply chains (SCs) rather than individual firms. Today, considering the challenges of environmental, social, and economic sustainability, it is becoming even more vital to coordinate and co-manage company resources, activities, and innovative efforts at the SC level. Consequently, knowledge, which is a critical resource for companies, needs to be managed properly not only in single firms but also across SCs. For the education of business managers, this implies a double challenge: first, to make students and future executives become aware of the knowledge management (KM) practices that can be adopted; second, to facilitate the assimilation of these practices for the effective management of SCs, to ensure higher economic and environmentally sustainable performances. Standard definitions and classifications can be of great help, but the current studies are very fragmented. This study contributes by exploring the literature and examining the KM practices that are proposed and defined by the different authors. A systematic review and a descriptive analysis of selected papers showed the trend and focus of papers in the KM and SC fields. In addition, based on the definitions and classifications drawn from the literature, this paper discusses a possible systematization of the key KM practices in SCs. The major contribution of this paper is the effort of re-definition and re-classification of KM practices and their potential importance for effective and sustainable SC management. This analysis can be especially useful for organizing KM courses targeted to current and future business managers.

scholarly journals Dry and Wet Climate Periods over Eastern South America: Identification and Characterization through the SPEI Index

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 155
Author(s):  
Anita Drumond ◽  
Milica Stojanovic ◽  
Raquel Nieto ◽  
Luis Gimeno ◽  
Margarida L. R. Liberato ◽  
...  
Keyword(s):  
South America ◽  
Potential Evapotranspiration ◽  
Monthly Precipitation ◽  
Economic Activities ◽  
Central Brazil ◽  
Moisture Analysis ◽  
Dry Conditions ◽  
Wet Climate ◽  
Climate Events

A large part of the population and the economic activities of South America are located in eastern regions of the continent, where extreme climate events are a recurrent phenomenon. This study identifies and characterizes the dry and wet climate periods at domain-scale occurring over the eastern South America (ESA) during 1980–2018 through the multi-scalar Standardized Precipitation–Evapotranspiration Index (SPEI). For this study, the spatial extent of ESA was defined according to a Lagrangian approach for moisture analysis. It consists of the major continental sink of the moisture transported from the South Atlantic Ocean throughout the year, comprising the Amazonia, central Brazil, and the southeastern continental areas. The SPEI for 1, 3, 6, and 12 months of accumulation was calculated using monthly precipitation and potential evapotranspiration time series averaged on ESA. The analysis of the climate periods followed two different approaches: classification of the monthly SPEI values as mild, moderate, severe, and extreme; the computation of the events and their respective parameters (duration, severity, intensity, and peak). The results indicate that wet periods prevailed in the 1990s and 2000s, while dry conditions predominated in the 2010s, when the longest and more severe dry events have been identified at the four scales.

MBAR Models: A Test of ARIMAX Modelling

2011 ◽  
Vol 14 (02) ◽  
pp. 347-366
Author(s):  
Anastasia Maggina
Keyword(s):  
Loss Function ◽  
Stock Exchange ◽  
Explanatory Power ◽  
Accounting Earnings ◽  
Explanatory Variables ◽  
Minimum Value ◽  
Standard Models ◽  
Athens Stock Exchange ◽  
Squared Residuals ◽  
Earnings Change

The main purpose of this paper is to provide evidence on some of the standard models of accounting earnings and returns relations mainly collected through the literature. Standard models such as earnings level and earnings changes, among others, have been investigated in this study. Models that correspond better to the data drawn from the Athens Stock Exchange have been selected. Models I, II, V, VII and IX have statistically significant coefficients of explanatory variables. In addition, model II with the MSE (minimum value of squared residuals) loss function in ARIMAX (2,0,2) is prevalent. Models that include prior earnings in various forms using levels, changes in price and changes in earnings, change in price to beginning price, lagged parameters and differentiated price models have statistically significant explanatory power.

The role of non-governmental institutions in protection of medieval fortification architecture of Germany

2021 ◽  
pp. 22-31
Author(s):  
Maksim Terebilov
Keyword(s):  
Cultural Heritage ◽  
Middle Ages ◽  
Non Profit ◽  
Public Projects ◽  
Heritage Sites ◽  
Systemic Analysis ◽  
Internet Resources ◽  
Non Profit Organizations ◽  
Governmental Institutions

The subject of this research is the activity of non-profit organizations in aimed at preservation and promotion of the monuments of medieval fortification as an integral part of the cultural heritage of the country of their location. The author carries out the classification of non-profit organizations in Germany dealing with the preservation of monuments of fortification architecture of the Middle Ages. Methodological framework is comprised of typological and systemic analysis used for selecting organizations as the key objects of research, as well analyzing the main vectors of their activity. The author explores most significant projects of the selected organizations, their contribution to preservation of the monuments of fortification architecture on the national and international levels. Special attention is given to the analysis of official Internet resources of such organizations in the German and English languages, as well as to the work with digital databases of the objects under review. The novelty lies in conducting classification of non-governmental communities engaged in preservation of the monuments of medieval fortifications in Germany, which allows systematizing them for considering the experience of foreign colleagues within the framework of the approach towards organizing public projects aimed at preservation of the sites of historical and cultural heritage. The author outlines several priority vectors for providing support to the objects of fortification architecture: informational, scientific, financial and tourist. As a result, the author compiles a chart of classification of non-profit organizations, demonstrates interdependence of public initiatives related to preservation of cultural heritage sites on the ongoing globalization processes that take place in the society. Attention is also turned to the differentiated approach towards preservation of cultural heritage on the national and international levels.

RELATIONSHIP OF ACCOUNTING AND STATISTICAL ACCOUNTING OF LOGISTIC COSTS IN THE INTEGRATED BUSINESS STRUCTURE

2021 ◽  
Vol 16 (3) ◽  
pp. 106-111
Author(s):  
Olga Gizatullina
Keyword(s):  
Supply Chains ◽  
Business Processes ◽  
Management Accounting ◽  
Added Value ◽  
Economic Activities ◽  
Legal Form ◽  
Economic Entity ◽  
Accounting Management ◽  
Supply Costs

For economic entities, business partnerships are not based on individual competition or improving individual business processes, but on improving supply chains. When making management decisions, the question arises about the performance indicators of business processes both at the level of an economic entity and at the macro level. When assessing the effectiveness of supply chains, it is necessary to assess the costs arising in the course of financial and economic activities. The logistics component has a large share in the supply costs. A full accounting of logistics costs allows you to obtain reliable information for the analysis and development of measures to reduce them, which increases the efficiency of the entire economic activity of an economic entity. The article proposes a classification of logistics costs according to the degree of added value creation and dependence on the volume of production, including the allocation of transaction costs, which make up a significant share in the overall structure of logistics costs. The classification of logistics costs should be transformed depending on the organizational and legal form of the organization and the field of activity. The system of accounting for the logistics costs of economic entities should highlight them when implementing all logistics functions; study information about the most significant logistics costs and the nature of their occurrence; study the interdependencies of logistics costs throughout the entire supply chain. The developed system allows keeping separate accounting of logistics costs on a separate account, which makes it possible to control them. In modern conditions, organizations are faced with the need to integrate various types of accounting, including accounting, management and statistical. The algorithm for the implementation of this task includes four stages: development of a methodology for the integration of accounting, management and statistical accounting; formation of management accounting policies; development of data transformation regulations; selection of software for the automation of statistical, accounting and management accounting

Prevalence and Incidence of Heart Failure Among Urban Patients in China: A National Population-Based Analysis

2021 ◽  
Author(s):  
Hua Wang ◽  
Ke Chai ◽  
Minghui Du ◽  
Shengfeng Wang ◽  
Jian-Ping Cai ◽  
...  
Keyword(s):  
Heart Failure ◽  
Large Scale ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Unique Identifier ◽  
Classification Of Diseases ◽  
Per Capita ◽  
Mean Cost ◽  
Incident Cases

Background: Large-scale and population-based studies of heart failure (HF) incidence and prevalence are scarce in China. The study sought to estimate the prevalence, incidence, and cost of HF in China. Methods: We conducted a population-based study using records of 50.0 million individuals ≥25 years old from the national urban employee basic medical insurance from 6 provinces in China in 2017. Incident cases were individuals with a diagnosis of HF (International Classification of Diseases code, and text of diagnosis) in 2017 with a 4-year disease-free period (2013–2016). We calculated standardized rates by applying age standardization to the 2010 Chinese census population. Results: The age-standardized prevalence and incidence were 1.10% (1.10% among men and women) and 275 per 100 000 person-years (287 among men and 261 among women), respectively, accounting for 12.1 million patients with HF and 3.0 million patients with incident HF ≥25 years old. Both prevalence and incidence increased with increasing age (0.57%, 3.86%, and 7.55% for prevalence and 158, 892, and 1655 per 100 000 person-years for incidence among persons who were 25–64, 65–79, and ≥80 years of age, respectively). The inpatient mean cost per-capita was $4406.8 and the proportion with ≥3 hospitalizations among those hospitalized was 40.5%. The outpatient mean cost per-capita was $892.3. Conclusions: HF has placed a considerable burden on health systems in China, and strategies aimed at the prevention and treatment of HF are needed. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: ChiCTR2000029094.

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