scholarly journals A Model to Decompose Property Rental Multipiers with Regard to the Division Between Land and Building Elements

2016 ◽  
Vol 24 (1) ◽  
pp. 51-63
Author(s):  
S.A. Smolyak
Keyword(s):  
Cash Flow ◽  
Flow Analysis ◽  
Discounted Cash Flow ◽  
Building Element ◽  
New Model ◽  
Proposed Model ◽  
Long Term Forecasting ◽  
The Impact ◽  
Building Elements

Abstract We propose a new model for the decomposition of rental multipliers for the property building element which also supports valuation of income-producing real properties based on the principle of stability and an un-orthodox application of discounted cash flow analysis. Having regard to the building/land element analytical split of overall property, the proposed model explicitly accounts for the impact of the value of underlying land on the decomposition of rental multipliers, and doesn’t require long-term forecasting of income.

Pension Reform in Russia: Assessing the Susceptibility of GDP Production to a Shift in the Number of the Working-Age Population

2019 ◽  
pp. 80-86
Author(s):  
T. P. Skufina ◽  
S. V. Baranov
Keyword(s):  
Pension Reform ◽  
Fixed Capital ◽  
Economic Effects ◽  
Pension Scheme ◽  
Retirement Age ◽  
Working Age ◽  
Working Age Population ◽  
Long Term Forecasting ◽  
The Impact

The presented study considers the susceptibility of gross domestic product (GDP) production to a shift in the number of the working-age population due to an increase in retirement age starting with 2019.Aim. The study aims to examine the quantitative assessments of GDP production in Russia with allowance for the changes in the number of the working-age population due to an increase in the actual retirement age.Tasks. The authors forecast the number of the working-age population with allowance for an increase in the retirement age; develop a model to establish a correlation between the number of the workingage population, investment in fixed capital, and GDP production; quantify the impact of the shift in the number of the working-age population on GDP production in Russia. Methods. This study is based on the results of modeling and long-term forecasting.Results. An economic-mathematical model to establish a correlation between the number of the working-age population, investment in fixed capital, and GDP production is presented. To specify the economic effects of a shift in the number of the working-age population due to an increase in the retirement age, Russia’s GDP production is forecasted for the “old” and “new” (increased retirement age) pension scheme. The forecast is provided for three variants of the number of the working-age population.Conclusions. It is found that with the “old” pension scheme with a lower retirement age GDP production across all three variants will decrease by 2036 compared to 2017. With regard to the “new” scheme that increases the retirement age, it is concluded that an increase in the retirement age is a factor that facilitates GDP production. However, its effect on economic growth will be insignificant.

Development of an Environmental Database for Construction Finish Materials Organized by Building Element

2015 ◽  
Vol 752-753 ◽  
pp. 758-762 ◽  
Author(s):  
Rak Hyun Kim ◽  
Sung Ho Tae ◽  
Chang U Chae ◽  
Ji Hoon Kim
Keyword(s):  
Classification System ◽  
Environmental Effect ◽  
Construction Project ◽  
Construction Materials ◽  
Environmental Information ◽  
Building Element ◽  
Effect Assessment ◽  
Assessment Program ◽  
The Impact ◽  
Building Elements

The purpose of this study was to develop an environmental database for construction finish materials organized by building element as part of an effort to develop an environmental effect assessment program for buildings. To this end, a classification system has been developed for building elements that satisfies the demands from construction project stakeholders to acquire environmental information. Furthermore, among the construction materials, an environmental database of the finish materials has been developed for each building element based on reference substances and the impact indexes of six environmental effect categories of the national LCI DB.

A Mixture Price Trend Model for Long-Term Risk Management

2010 ◽  
pp. 157-173
Author(s):  
Eric S. Fung ◽  
Wai-Ki Ching ◽  
Tak-Kuen Siu
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Estimation Method ◽  
Real Data ◽  
Price Trend ◽  
Trend Model ◽  
Proposed Model ◽  
Price Trends ◽  
Long Term Forecasting

In financial forecasting, a long-standing challenging issue is to develop an appropriate model for forecasting long-term risk management of enterprises. In this chapter, using financial markets as an example, we introduce a mixture price trend model for long-term forecasts of financial asset prices with a view to applying it for long-term financial risk management. The key idea of the mixture price trend model is to provide a general and flexible way to incorporate various price trend behaviors and to extract information from price trends for long-term forecasting. Indeed, the mixture price trend model can incorporate model uncertainty in the price trend model, which is a key element for risk management and is overlooked in some of the current literatures. The mixture price trend model also allows the incorporation of users’ subjective views on long-term price trends. An efficient estimation method is introduced. Statistical analysis of the proposed model based on real data will be conducted to illustrate the performance of the model.

Competition intensity as moderator for NPD success

2019 ◽  
Vol 11 (4) ◽  
pp. 618-647
Author(s):  
Tor Guimaraes ◽  
Ketan Paranjape
Keyword(s):  
New Product Development ◽  
Success Factors ◽  
Multivariate Regression Analysis ◽  
Manufacturing Companies ◽  
Competition Intensity ◽  
Content Type ◽  
Intense Competition ◽  
Proposed Model ◽  
The Impact

Purpose This study aims to test the moderating impact of competition intensity on the relationships between the new product development (NPD) success factors and company success in NPD. Design/methodology/approach A mailed questionnaire collected information from 311 manufacturing companies to test the proposed model with moderated multivariate regression analysis. Findings The results corroborate the impact of competition intensity on the relationships between the success factors individually and company success performing NPD. Research limitations/implications Despite the relatively broad scope of the proposed model, other success factors and/or moderating and mediating variables may also be important. As such, these variables should be identified and tested in future studies. Practical implications In practice, competition is viewed as an unavoidable factor beyond the control of managers within a company. Undeniably, competition is a great stimulant for business innovation. Thus, it is important for managers to understand the need, to focus attention managing the success factors most important to increase the likelihood of long-term success for NPD projects, particularly in markets under intense competition. Originality/value While the study is grounded on well-established literature, its major constructs originated from relatively isolated areas of knowledge. The major contribution is empirically testing an integrated model for variables considered important for success in NPD and the moderating effect of intense competition.

Manufacturer's pricing and lot-sizing decisions for perishable goods under various payment terms by a discounted cash flow analysis

2019 ◽  
Vol 218 ◽  
pp. 83-95 ◽  
Author(s):  
Chun-Tao Chang ◽  
Liang-Yuh Ouyang ◽  
Jinn-Tsair Teng ◽  
Kuei-Kuei Lai ◽  
Leopoldo Eduardo Cárdenas-Barrón
Keyword(s):  
Cash Flow ◽  
Lot Sizing ◽  
Flow Analysis ◽  
Discounted Cash Flow ◽  
Perishable Goods

Measuring Wildfire Impacts: Method and Case Study

1987 ◽  
Vol 11 (3) ◽  
pp. 143-147
Author(s):  
W. L. Mills ◽  
S. D. Shnitzler ◽  
R. S. Meldahl
Keyword(s):  
Economic Impact ◽  
Cash Flow ◽  
Flow Model ◽  
Growth And Yield ◽  
Timber Production ◽  
Discounted Cash Flow ◽  
The Impact ◽  
Data Requirements

Abstract A discounted cash flow model called the Impact Appraisal Model (IAM) computes the economic impact due to a change in timber production caused by a wildfire. Data requirements for the IAM can be obtained using standard inventory procedures to estimate the pre- and post-fire stand conditionsneeded to initiate a growth and yield simulator. The model is demonstrated using five loblolly plantations that burned in 1980 and 1981. South. J. Appl. For. 11(3):143-147.

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