Is the Technical Conversion Factor Informative About the Price Ratio of Processing Livestock?

2018 ◽  
Author(s):  
Kris Boudt ◽  
Hong Anh Luu
Keyword(s):  
Conversion Factor ◽  
Price Ratio

Lifetime Evaluation of Oil-immersed Power Capacitor using Conversion Factor between Model Sample and Practical Equipment

2011 ◽  
Vol 131 (3) ◽  
pp. 329-334
Author(s):  
Masakazu Higashiyama ◽  
Ken-ichi Akiyama ◽  
Teruhiko Maeda ◽  
Shuhei Nakamura ◽  
Hiro Umemura ◽  
...  
Keyword(s):  
Conversion Factor ◽  
Model Sample

Intersectoral Terms of Trade for Pakistan's Economy: 1970-71 - 1981-82

1987 ◽  
Vol 26 (1) ◽  
pp. 81-105
Author(s):  
Shahnaz Kazi
Keyword(s):  
Terms Of Trade ◽  
Relative Price ◽  
Price Ratio ◽  
Sectoral Output ◽  
The Relationship

The paper estimates intersectoral terms of trade for the period from 1970-71 to 1981-82. On the basis of these results the study further analyses the relationship between terms of trade and aggregate farm output over the period. The findings indicate some improvement in agriculture's terms of trade over the Seventies. However, no conclusive support is provided to the hypothesis of high supply responsiveness of aggregate farm output to shifts in the relative price ratio of sectoral output.

GLOBAL FINANCIAL CRISIS: THE BUBBLE EFFECT IN INDONESIA

2018 ◽  
pp. 27-33
Author(s):  
Mohammad Benny Alexandri ◽  
Raeny Dwisanti
Keyword(s):  
Financial Crisis ◽  
Stock Price ◽  
Price Index ◽  
Global Financial Crisis ◽  
Price Ratio ◽  
Sharp Decline ◽  
Book Value ◽  
The Us ◽  
Investment Opportunities ◽  
Us Financial Crisis

US and Indonesia stock markets are entering record heights without being offset by economic growthand profitability growth of their traded companies. There are several indicators for the stock marketbubble: (1) Price Ratio (Ear Ratio); (2) Price Ratio / Book (PB Ratio), the latter comparing thenominal price of one share at a market with the book value (the value of company's assets). Thecurrent PB ratio of the composite stock price index being 3.3 means that for each shares the assetvalue of which is 1 IDR, the stock would be worth 3.3 IDR. This is one of the most expensive price in the world today. Based on the above, for Indonesian stock market sharp decline is just a matter of time and waiting. This decline will be much sharper if triggered by the US financial crisis. We can also also see a bubble emerging from increasingly irrational investment attitudes. Currently, in addition to high prices for stocks and bonds, investors have started looking at investment opportunities in digital currencies. This research tries to know the potential of financial crisis and itseffect for the financial market in Indonesia. 

scholarly journals CO2 Intensities and Primary Energy Factors in the Future European Electricity System

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2165
Author(s):  
Sam Hamels
Keyword(s):  
Co2 Emissions ◽  
Energy Use ◽  
Conversion Factor ◽  
Unit Commitment ◽  
Primary Energy ◽  
High Temporal Resolution ◽  
The European Union ◽  
Electricity System ◽  
Energy Factors ◽  
Electrical Loads

The European Union strives for sharp reductions in both CO2 emissions as well as primary energy use. Electricity consuming technologies are becoming increasingly important in this context, due to the ongoing electrification of transport and heating services. To correctly evaluate these technologies, conversion factors are needed—namely CO2 intensities and primary energy factors (PEFs). However, this evaluation is hindered by the unavailability of a high-quality database of conversion factor values. Ideally, such a database has a broad geographical scope, a high temporal resolution and considers cross-country exchanges of electricity as well as future evolutions in the electricity mix. In this paper, a state-of-the-art unit commitment economic dispatch model of the European electricity system is developed and a flow-tracing technique is innovatively applied to future scenarios (2025–2040)—to generate such a database and make it publicly available. Important dynamics are revealed, including an overall decrease in conversion factor values as well as considerable temporal variability at both the seasonal and hourly level. Furthermore, the importance of taking into account imports and carefully considering the calculation methodology for PEFs are both confirmed. Future estimates of the CO2 emissions and primary energy use associated with individual electrical loads can be meaningfully improved by taking into account these dynamics.

scholarly journals Probabilistic Assessment of Roof Snow Load and the Calibration of Shape Coefficients in the Eurocodes

2021 ◽  
Vol 11 (7) ◽  
pp. 2984
Author(s):  
Pietro Croce ◽  
Paolo Formichi ◽  
Filippo Landi
Keyword(s):  
Conversion Factor ◽  
Reference Value ◽  
Construction Site ◽  
Probability Of Exceedance ◽  
Snow Load ◽  
Shape Coefficient ◽  
Annual Probability ◽  
Wind Exposure ◽  
Design Values ◽  
One Year

In modern structural codes, the reference value of the snow load on roofs is commonly given as the product of the characteristic value of the ground snow load at the construction site multiplied by the shape coefficient. The shape coefficient is a conversion factor which depends on the roof geometry, its wind exposure, and its thermal properties. In the Eurocodes, the characteristic roof snow load is either defined as the value corresponding to an annual probability of exceedance of 0.02 or as a nominal value. In this paper, an improved methodology to evaluate the roof snow load characterized by a given probability of exceedance (e.g., p=0.02 in one year) is presented based on appropriate probability density functions for ground snow loads and shape coefficients, duly taking into account the influence of the roof’s geometry and its exposure to wind. In that context, the curves for the design values of the shape coefficients are provided as a function of the coefficient of variation (COVg) of the yearly maxima of the snow load on the ground expected at a given site, considering three relevant wind exposure conditions: sheltered or non-exposed, semi-sheltered or normal, and windswept or exposed. The design shape coefficients for flat and pitched roofs, obtained considering roof snow load measurements collected in Europe during the European Snow Load Research Project (ESLRP) and in Norway, are finally compared with the roof snow load provisions given in the relevant existing Eurocode EN1991-1-3:2003 and in the new version being developed (prEN1991-1-3:2020) for the “second generation” of the Eurocodes.

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