Exports, Productivity and Factor Intensity: Evidence for Brazilian Firms

2019 ◽  
Author(s):  
Dieison Lenon Casagrande ◽  
Álvaro Barrantes Hidalgo ◽  
Paulo Ricardo Feistel
Keyword(s):  
Factor Intensity

TIME ALLOCATION, TIME VALUE AND FACTOR INTENSITY

1978 ◽  
Vol 17 (30) ◽  
pp. 124-131
Author(s):  
ALLAN C. DeSEPRA ◽  
HILLARD G. HUNTINGTON
Keyword(s):  
Time Allocation ◽  
Factor Intensity ◽  
Time Value

scholarly journals Proteome Integral Stability Alteration assay dramatically increases throughput and sensitivity in profiling factor-induced proteome changes

2018 ◽  
Author(s):  
Massimiliano Gaetani ◽  
Pierre Sabatier ◽  
Amir Ata Saei ◽  
Christian Beusch ◽  
Zhe Yang ◽  
...  
Keyword(s):  
Chemical Biology ◽  
Living Cells ◽  
Parameter Variation ◽  
The Novel ◽  
Factor Intensity ◽  
Unusual Behavior ◽  
Analysis Scheme ◽  
The Stability ◽  
Proteome Changes ◽  
Integral Stability

Various factors, including drugs as well as non-molecular influences, induce alterations in the stability of proteins in cell lysates, living cells and organisms. These alterations can be probed by applying a stability-modifying agent, such as elevated temperature, to a varying degree. As a second dimension of variation, drug concentration or factor intensity can be used. However, the corresponding analysis scheme has a low throughput and high cost. Additionally, since traditional data analysis employs curve fitting, proteins with unusual behavior are frequently ignored. The novel Proteome Integral Stability Alteration (PISA) assay avoids these issues altogether, increasing the analysis throughput by one to two orders of magnitude for unlimited number of parameter variation points. The consumption of the compound and biological material decreases by the same factor. We envision widespread use of the PISA approach in chemical biology and drug development.

scholarly journals La configuration des échanges dans un modèle à biens multiples : quelques paradoxes

2009 ◽  
Vol 54 (3) ◽  
pp. 376-383
Author(s):  
F. R. Casas
Keyword(s):  
Free Trade ◽  
Factor Model ◽  
Commodity Prices ◽  
Relative Price ◽  
Factor Endowment ◽  
Factor Intensity ◽  
Distributional Effects ◽  
Technological Characteristics ◽  
The Relationship ◽  
Rule Out

In the framework of a two-good, two-factor model it is evident that the pattern of trade can be inferred from the change in commodity prices resulting from the opening of trade. Thus, if trade increases the relative price of a commodity, we expect that commodity to be exported, while the good whose relative price decreases will be imported. Under certain circumstances however, it may be possible to observe a country importing a commodity even though its free trade relative price is higher than under autarky. The purpose of this paper is to point out that a similar paradox can be established even if we rule out distributional effects of changes in commodity prices on the demand for goods attributable to different tastes. In particular, we focus our attention on a simple three-good, two-factor model with fixed production coefficients. It is well known that when the number of goods exceeds the numbers of factors, a basic indeterminacy exists in the relationship between output levels and relative commodity prices. Our interest lies in establishing that one application of this indeterminacy is that technological characteristics—in particular, the factor intensity ranking of commodities and a country's factor endowment—may result in the reversal of the expected pattern of trade.

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