Results 131 to 140 of about 92,357 (305)

Farm Technology and Technical Efficiency: Evidence from Four Regions in China [PDF]

open access: yes
In this paper we fit stochastic frontier production functions to data for Chinese farms grouped into each of four regionshousehold farm; labor migration; land fragmentation; stochastic production frontier; technical ...
Chen, Zhuo   +2 more
core  

Risk‐aware safe reinforcement learning for control of stochastic linear systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili   +2 more
wiley   +1 more source

Regional Tourism Competition in the Baltic States: a Spatial Stochastic Frontier Approach [PDF]

open access: yes
This paper aimed at a statistical analysis of competition for tourists between regions within Baltic states (Estonia, Latvia, Lithuania) and estimation relative efficiency levels of regions.
Pavlyuk, Dmitry
core   +1 more source

Green Innovation and Firm Efficiency: The Role of Institutional Quality in Italian High‐Tech Manufacturing Sectors

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The aim of this research is to verify whether institutional quality affects the relationship between green innovation and firm efficiency within the high‐tech manufacturing sectors. To estimate jointly the parameters of a stochastic frontier and the coefficients of a model explaining technical inefficiency, we employed the one‐step estimation ...
Mariarosaria Agostino   +2 more
wiley   +1 more source

Applying Machine Learning Methods to Laser Acceleration of Protons: Synthetic Data for Exploring the High Repetition Rate Regime

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Advances in ultra‐intense laser technology have increased repetition rates and average power for chirped‐pulse laser systems, which offer a promising solution for many applications including energetic proton sources. An important challenge is the need to optimize and control the proton source by varying some of the many degrees of freedom ...
John J. Felice   +7 more
wiley   +1 more source

Estimation of technical efficiency of broiler production in Peninsular Malaysia: A stochastic frontier analysis

open access: yesJournal of Business Management and Accounting, 2012
This study analyzed the technical efficiency of poultry production in Peninsular Malaysia using the stochastic frontier production function analysis. Time series data were collected for this purpose. The frontier function involved variables such as farm,
Ibrahim Yunus
doaj  

Efficiency of broadband internet adoption in European Union member states [PDF]

open access: yes
This paper is devoted to econometric analysis of broadband adoption efficiency in EU member states. Stochastic frontier models are widely used for efficiency estimation.
Pavlyuk, Dmitry
core   +1 more source

Powerful yet challenging: mechanistic niche models for predicting invasive species potential distribution under climate change

open access: yesEcography, EarlyView.
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa   +4 more
wiley   +1 more source

Stochastic Frontier Models With Correlated Error Components [PDF]

open access: yes
In the productivity modelling literature, the disturbances U (representing technical inefficiency) and V (representing noise) of the composite error W=V-U of the stochastic frontier model are assumed to be independent random variables.
Murray D Smith
core  

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