The dynamic efficiency of networks

1999 ◽  
Author(s):  
Bart Nooteboom
Keyword(s):  
Dynamic Efficiency

The increase in gas-dynamic efficiency of filters with short diffuser when operating in swirling flow

2018 ◽  
Vol 2 (1) ◽  
pp. 72-79
Author(s):  
N. Yu. Fil’kin ◽  
◽  
V. L. Yusha ◽  
A. A. Kapelyukhovskaya ◽  
◽  
...  
Keyword(s):  
Swirling Flow ◽  
Dynamic Efficiency ◽  
Gas Dynamic

Trade and Dynamic Efficiency

Kyklos ◽  
1987 ◽  
Vol 40 (1) ◽  
pp. 73-87 ◽  
Author(s):  
KLAUS F. ZIMMERMANN
Keyword(s):  
Dynamic Efficiency

Fluid Dynamic Efficiency and Scale-up of a Retreated Blade Impeller CSTR

2002 ◽  
Vol 41 (2) ◽  
pp. 164-172 ◽  
Author(s):  
Marina Campolo ◽  
Alessandro Paglianti ◽  
Alfredo Soldati
Keyword(s):  
Fluid Dynamic ◽  
Scale Up ◽  
Dynamic Efficiency

scholarly journals Measurement of Dynamic Efficiency: A Directional Distance Function Parametric Approach

2011 ◽  
Vol 93 (3) ◽  
pp. 756-767 ◽  
Author(s):  
Teresa Serra ◽  
Alfons Oude Lansink ◽  
Spiro E. Stefanou
Keyword(s):  
Distance Function ◽  
Directional Distance Function ◽  
Dynamic Efficiency ◽  
Parametric Approach

Determining the Dynamic Efficiency of Cams

2005 ◽  
Author(s):  
Florian Ion Petrescu ◽  
Relly Victoria Petrescu
Keyword(s):  
Dynamic Efficiency

scholarly journals Designing Competition Policy for Telecommunications

2008 ◽  
Vol 7 (4) ◽  
Author(s):  
Glen O. Robinson ◽  
Dennis L. Weisman
Keyword(s):  
Competition Policy ◽  
Consumer Welfare ◽  
Dynamic Efficiency ◽  
Short Term ◽  
Competitive Outcome ◽  
Static Efficiency ◽  
Competitive Process ◽  
Welfare Losses ◽  
Network Sharing

This paper explores the role of the essential facilities doctrine in circumscribing the scope of network sharing obligations in telecommunications. Among other things it argues that a proper application of the doctrine of essential facilities should recognize the prominence of dynamic over static efficiency in promoting consumer welfare. Regulators may be averse to recognizing these tradeoffs because unlike the behavior of prices the welfare losses from foregone innovation may be unobservable to the regulators' constituency. Moreover, an emphasis on dynamic efficiency requires the short-term regulator to take the "long view" – fostering the competitive process rather than emulating the competitive outcome.

scholarly journals Vertical Foreclosure in Video Programming Markets: Implications for Cable Operators

2007 ◽  
Vol 6 (3) ◽  
Author(s):  
Hal J. Singer ◽  
J. Gregory Sidak
Keyword(s):  
Market Power ◽  
Dynamic Efficiency ◽  
Cable Operator ◽  
Market Dominance ◽  
Time Warner ◽  
Vertical Foreclosure

This paper argues that a cable operator with sufficient market power in the downstream multi-channel video programming distribution (MVPD) market can deny access to unaffiliated programmers, resulting in an upstream programming rival's exit or impaired dynamic efficiency. Further, market dominance by cable operators may harm consumers of video programming through higher prices and less choice in the downstream MVPD market. The reason is that as unaffiliated video programming becomes affiliated programming, the latter is then withheld from rival MVPDs. This analysis is then applied to the recent acquisition of Adelphia by Comcast and Time Warner.

scholarly journals Artificial intelligence, dynamic efficiency and Economics

2021 ◽  
pp. 337-350
Author(s):  
Vincent Wolters
Keyword(s):  
Artificial Intelligence ◽  
Optimization Problems ◽  
Evolutionary Process ◽  
Human Action ◽  
Medical Doctor ◽  
Dynamic Efficiency ◽  
Demand And Supply ◽  
New Information ◽  
Back Ground ◽  
The Brain

In this work I will lend support to the theory of «dynamic efficien - cy», as outlined by Prof. Huerta de Soto in The Theory of Dynamic Efficiency (2010a). Whereas Huerta de Soto connects economics with ethics, I will take a different approach. Since I have a back-ground in Artificial Intelligence (A.I.), I will show that this and related fields have yielded insights that, when applied to the study of economics, may call for a different way of looking at the eco-nomy and its processes. At first glance, A.I. and economics do not seem to have a lot in common. The former is thought to attempt to build a human being; the latter is supposed to deal with depressions, growth, inflation, etc. That view is too simplistic; in fact there are strong similarities. First, economics is based on (inter-)acting individuals, i.e. on human action. A.I. tries to understand and simulate human (and animal) behavior. Second, economics deals with information pro-cessing, such as how the allocation of resources can best be orga-nized. A.I. also investigates information processing. This can be in specific systems, such as the brain, or the evolutionary process, or purely in an abstract form. Finally, A.I. tries to answer more philosophical questions like: what is intelligence? What is a mind? What is consciousness? Is there free will? These topics play a less prominent role in economics, but are sometimes touched upon, together with the related topic of the «entrepreneurial function». The paradigm that was dominant in the early days of A.I. is static in nature. Reaching a solution is done in different steps. First: gathering all necessary information. Second: processing this in - formation. Finally: the outcome of this process, a clear conclusion. Each step in the process is entirely separate. During information gathering no processing is done, and during processing, no new information is added. The conclusion reached is final and cannot change later on. Logical problems are what is mostly dealt with, finding ways in which a computer can perform deductions based on the information that is represented as logical statements. Other applications are optimization problems, and so-called «Expert Systems», developed to perform the work of a judge reaching a verdict, or a medical doctor making a diagnosis based on the symptoms of the patient. This paradigm is also called «top-down», because information flows to a central point where it is processed, or «symbolic processing», referring to deduction in formal logic.1 In economics there is a similar paradigm, and it is still the do-minant one. This is the part of economics that deals with opti - mization of resources: given costs and given prices, what is the allocation that will lead to the highest profit? Also belonging to this paradigm are the equilibrium models. Demand and supply curves are supposed to be knowable and unchangeable, and the price is a necessary outcome. The culmination is central planning that supposes all necessary information, such as demand and supply curves and available resources to be known. Based on this, the central planner determines prices.

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