scholarly journals Model of the hospitality industry development based on the cost approach

2021 ◽  
Vol 244 ◽  
pp. 10035
Author(s):  
Oksana Pirogova ◽  
Vilena Zasenko
Keyword(s):  
Real Estate ◽  
Strong Relationship ◽  
Forecast Period ◽  
Final Model ◽  
The Past ◽  
Almost All ◽  
The Cost ◽  
Exponential Smoothing Method ◽  
Positive Effect ◽  
Significant Factors

Apartments have become a new trend in the market over the past few years. This type of real estate is becoming more and more popular every year, both among investors and tourists. The purpose of the article is to make a forecast of prices for apartments in St. Petersburg. Research methods: description, comparison, analogy, generalization and analysis. In the course of the study, the dynamics of changes in prices per square meter of apartments in St. Petersburg for 2014-2019 is considered; the main factors influencing the price index of apartments in St. Petersburg are identified. The influence of the identified factors on the price indicator is analysed on the basis of multiple linear regression. The study showed that almost all factors have a fairly strong relationship with the resulting indicator. The most significant factors are identified, on the basis of which the final model of the cost of apartments is built. On the basis of the exponential smoothing method, an assessment of changes in factors in the forecast period was made and a forecast of apartment prices was made based on the obtained values. The study shows that apartment prices will rise in the coming period. The forecast of the cost of service apartments developed by the authors can have a positive effect when conducting real estate transactions in St. Petersburg.

scholarly journals Transparency in extractive industry commodities trading

2020 ◽  
Author(s):  
Olle Östensson
Keyword(s):  
Financial Management ◽  
Extractive Industry ◽  
Market Participants ◽  
Conflict Minerals ◽  
Public Financial Management ◽  
Almost All ◽  
The Cost ◽  
Positive Effect ◽  
Responsible Sourcing

The paper reviews the debate about transparency in extractive industry commodities trade. It examines the obstacles to improved transparency. A critical review of the experience with estimating losses from a lack of transparency concludes that many of the published estimates of losses from transfer mispricing and misinvoicing suffer from methodological deficiencies and appear to be exaggerations. The role of finance in extractive commodities trade is briefly discussed and it is noted that lending to companies owned by the state may affect the government’s standing with donors and investors. The most important transparency and responsible sourcing initiatives are reviewed. The initiatives appear to have had some positive effect on public financial management, investment climate, and economic growth. The experience of government-initiated responsible sourcing, including for conflict minerals, concludes that initiatives must include all or almost all market participants and that the cost of due diligence be equitably shared. Finally, a number of recommendations are made.

scholarly journals Issues Relating to the Creation of a Central Database to Support Statistical Property Valuations

2021 ◽  
Vol 20 (4) ◽  
pp. 86-117
Author(s):  
Gabriella Grosz ◽  
Evelyn Herbert ◽  
Gábor Izsák ◽  
Katinka Szász
Keyword(s):  
Real Estate ◽  
Data Transfer ◽  
Cost Effective ◽  
Banking Competition ◽  
Valuation Methods ◽  
Playing Field ◽  
The Past ◽  
Statistical Property ◽  
Central Database ◽  
The Cost

The valuation of real estate collateral is a long-established area of the lending process that is currently undergoing increasingly dynamic development and in which the use of statistical valuation methods is becoming more and more common instead of on-site valuations. The legal conditions for this have been created by amendments to European and national legislation in the past year, but for the method to be truly widely used and operational and to ensure the accuracy of the resulting valuations, access to detailed, accurate, up-to-date and regularly checked data on real estate must be also created. As the databases currently available for Hungarian real estate are very fragmented, in our study, we propose to create a central database that would provide a uniform, up-to-date set of data, by harmonising the existing separate databases. Such a database would help create a level playing field in the market and automate data transfer in a cost-effective, fast and reliable manner. This would greatly facilitate the uptake of statistical valuation methods, supporting the further spread of digitalisation, increasing banking competition, speeding up administration and reducing the cost of lending for all parties.

BP Global Energy Outlook 2030

2013 ◽  
pp. 109-128 ◽  
Author(s):  
C. Rühl
Keyword(s):  
Emerging Economies ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Net Energy ◽  
Global Energy ◽  
The Past ◽  
Market Shares ◽  
The Us ◽  
Almost All ◽  
Oil Gas

This paper presents the highlights of the third annual edition of the BP Energy Outlook, which sets out BP’s view of the most likely developments in global energy markets to 2030, based on up-to-date analysis and taking into account developments of the past year. The Outlook’s overall expectation for growth in global energy demand is to be 36% higher in 2030 than in 2011 and almost all the growth coming from emerging economies. It also reflects shifting expectations of the pattern of supply, with unconventional sources — shale gas and tight oil together with heavy oil and biofuels — playing an increasingly important role and, in particular, transforming the energy balance of the US. While the fuel mix is evolving, fossil fuels will continue to be dominant. Oil, gas and coal are expected to converge on market shares of around 26—28% each by 2030, and non-fossil fuels — nuclear, hydro and renewables — on a share of around 6—7% each. By 2030, increasing production and moderating demand will result in the US being 99% self-sufficient in net energy. Meanwhile, with continuing steep economic growth, major emerging economies such as China and India will become increasingly reliant on energy imports. These shifts will have major impacts on trade balances.

Measuring the cost of environmental compliance for Waikato dairy farmers - a survey approach

2015 ◽  
Vol 77 ◽  
pp. 159-166
Author(s):  
T.O.R. Macdonald ◽  
J.S. Rowarth ◽  
F.G. Scrimgeour
Keyword(s):  
Qualitative Data ◽  
Management Practice ◽  
Dairy Farm ◽  
Environmental Compliance ◽  
Dairy Farmers ◽  
The Past ◽  
Farm Systems ◽  
The Cost ◽  
Farm System ◽  
Survey Approach

The link between dairy farm systems and cost of environmental compliance is not always clear. A survey of Waikato dairy farmers was conducted to establish the real (non-modelled) cost of compliance with environmental regulation in the region. Quantitative and qualitative data were gathered to improve understanding of compliance costs and implementation issues for a range of Waikato farm systems. The average oneoff capital cost of compliance determined through a survey approach was $1.02 per kg milksolids, $1490 per hectare and $403 per cow. Costs experienced by Waikato farmers have exceeded average economic farm surplus for the region in the past 5 years. As regulation increases there are efficiencies to be gained through implementing farm infrastructure and farm management practice to best match farm system intensity. Keywords: Dairy, compliance, farm systems, nitrogen, Waikato

FAKTOR YANG MEMPENGARUHI BEHAVIOR INTENTION UNTUK PENGGUNAAN APLIKASI DOMPET DIGITAL MENGGUNAKAN MODEL UTAUT2

2020 ◽  
Vol 25 (2) ◽  
pp. 111-122
Author(s):  
Aries Andrianto
Keyword(s):  
Sem Analysis ◽  
Electronic Money ◽  
Analysis Techniques ◽  
Behavior Intention ◽  
The Past ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Positive Effect ◽  
Digital Wallet

Based on Bank Indonesia data, electronic money transactions have grown rapidly in the past 10 years. Throughout 2018, the volume of electronic money transactions was 2.92 billion transactions, growing 16,600 times compared to 2009.This study aims to analyze the factors that influence interest in using the LinkAja digital wallet using the UTAUT 2 method. The object of this study is the LinkAja digital wallet user who is domiciled in Jakarta. The independent variables examined in this study were Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, and Habit on Behavior Intention using PLS-SEM analysis techniques. The results of this study indicate that Price Value has a positive effect on Behavior Intention.

ANALYSIS OF THE STRUCTURE AND PREDICTION OF HIV INFECTION INCIDENCE IN THE VORONEZH REGION

2020 ◽  
pp. 147-152
Author(s):  
Евгений Николаевич Коровин ◽  
Юлия Викторовна Сиромашенко ◽  
Владимир Николаевич Коровин
Keyword(s):  
Hiv Infection ◽  
Graphical Representation ◽  
Linear Trend ◽  
Risk Groups ◽  
Extrapolation Methods ◽  
The Past ◽  
Voronezh Region ◽  
The Future ◽  
Dynamic Series ◽  
Exponential Smoothing Method

В статье приведены анализ и прогнозирование основных статистических показателей, характеризующих развитие эпидемической ситуации по вирусу иммунодефицита человека (ВИЧ) в Воронежской области, а именно распределение по путям инфицирования. В качестве данных для прогнозирования были использованы показатели заболеваемости прошлых лет. Применяемый метод прогнозирования основан на методах экстраполяции. Все методы экстраполяции объединяет то, что они проецируют на будущее ход событий, сложившийся в прошлом. При этом не устанавливаются никакие причинные связи - принимается, что действующие в прошлом силы без существенных изменений будут действовать и в будущем. При формировании прогнозов с помощью экстраполяции исходят из статистически складывающихся тенденций изменения тех или иных количественных характеристик объекта за определённый период. Прогнозирование заболеваемости ВИЧ осуществляется с помощью метода экспоненциального сглаживания с использованием линейного тренда и выбором оптимальных параметров сглаживания. Трендом называют аналитическое или графическое представление изменения переменной во времени, полученное в результате выделения регулярной (систематической) составляющей динамического ряда. Основной целью анализа и прогнозирования является выявление основных тенденций по распространению ВИЧ-инфекции, определение основных путей инфицирование, а также выделение ключевых групп риска среди населения Воронежской области The article analyzes and predicts the main statistical indicators that characterize the development of the epidemic situation of human immunodeficiency virus (HIV) in the Voronezh region, namely, the distribution by infection pathways. Previous years ' morbidity rates were used as data for forecasting. The applied forecasting method is based on extrapolation methods. What all extrapolation methods have in common is that they project the course of events in the past into the future. At the same time, no causal relationships are established - it is assumed that the forces operating in the past will continue to operate in the future without significant changes. When forming forecasts using extrapolation, they are based on statistically developing trends in changes in certain quantitative characteristics of an object over a certain period. Predicting the incidence of HIV is carried out using the exponential smoothing method using a linear trend and choosing the optimal smoothing parameters. A trend is an analytical or graphical representation of changes in a variable over time, resulting from the allocation of a regular (systematic) component of a dynamic series. The main goal of the analysis and forecasting is to identify the main trends in the spread of HIV infection, identify the main routes of infection, and identify key risk groups among the population of the Voronezh region

Attraction of prey

2018 ◽  
Author(s):  
John D. Horner ◽  
Bartosz J. Płachno ◽  
Ulrike Bauer ◽  
Bruno Di Giusto
Keyword(s):  
Visual Cues ◽  
Synergistic Action ◽  
Carnivorous Plants ◽  
Future Research ◽  
Acoustic Cues ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
The Past ◽  
The Cost ◽  
Prey Attraction

The ability to attract prey has long been considered a universal trait of carnivorous plants. We review studies from the past 25 years that have investigated the mechanisms by which carnivorous plants attract prey to their traps. Potential attractants include nectar, visual, olfactory, and acoustic cues. Each of these has been well documented to be effective in various species, but prey attraction is not ubiquitous among carnivorous plants. Directions for future research, especially in native habitats in the field, include: the qualitative and quantitative analysis of visual cues, volatiles, and nectar; temporal changes in attractants; synergistic action of combinations of attractants; the cost of attractants; and responses to putative attractants in electroantennograms and insect behavioral tests.

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