968 resultados para Industrial efficiency.


Relevância:

70.00% 70.00%

Publicador:

Resumo:

With a newly constructed dataset on foreign firms in Japan for the period 1995-2008 from firm-level surveys, this paper estimates the impact of foreign firms on industrial productivity at the regional level. A Bayesian-model averaging approach is taken to account for model uncertainty resulting from various linkages between foreign firms and domestic industries. The results show that the foreign firms may contribute to industrial efficiency directly through their above-average productivity and indirectly through positive spillovers in intra-industry and local backward linkages. Forward linkages with foreign firms may have a negative impact on industrial productivity. However, these impacts depend on the nationality and entry mode of foreign investors. Aggregating foreign firms may mask their distinctive impacts on productivity.

Relevância:

70.00% 70.00%

Publicador:

Resumo:

Cognitive Radio principles can be applied to HF communications to make a more efficient use of the extremely scarce spectrum. In this contribution we focus on analyzing the usage of the available channels done by the legacy users, which are regarded as primary users since they are allowed to transmit without resorting any smart procedure, and consider the possibilities for our stations -over the HFDVL (HF Data+Voice Link) architecture- to participate as secondary users. Our goal is to enhance an efficient use of the HF band by detecting the presence of uncoordinated primary users and avoiding collisions with them while transmitting in different HF channels using our broad-band HF transceiver. A model of the primary user activity dynamics in the HF band is developed in this work. It is based on Hidden Markov Models (HMM) which are a powerful tool for modelling stochastic random processes, and is trained with real measurements from the 14 MHz band.

Relevância:

70.00% 70.00%

Publicador:

Resumo:

by Josephine Goldmark ; introduction by Frederic S. Lee ...

Relevância:

70.00% 70.00%

Publicador:

Resumo:

Report period ends Oct. 31.

Relevância:

70.00% 70.00%

Publicador:

Resumo:

Autographed, on one side of leaf only, from type-written copy.

Relevância:

70.00% 70.00%

Publicador:

Resumo:

"Formerly Personnel and labor relations."

Relevância:

70.00% 70.00%

Publicador:

Resumo:

Vol. 84, no. 2 incorrectly numbered v. 85, no. 2.

Relevância:

70.00% 70.00%

Publicador:

Resumo:

Reproduced from type-written copy.

Relevância:

70.00% 70.00%

Publicador:

Resumo:

Vol. 1, no.1-8 called "new ser.", also "old ser., v.26, no.4-11".

Relevância:

70.00% 70.00%

Publicador:

Resumo:

Mode of access: Internet.

Relevância:

70.00% 70.00%

Publicador:

Resumo:

A study of eighteen industrial establishments visited from July to September 1919.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

The article presents survey commentaries and analysis on Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis of biotechnology boom indicators in Singapore as of April 2006. SWOT is the process whereby the strengths and weaknesses in the internal environment are analyzed in association with the opportunities and threats arising from the external environment. The success of Singapore's biotechnology sector depends on the effectiveness and efficiency of the interface between the external and internal environments. The strengths, weaknesses, opportunities, and threats in the industry are discussed.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

During the past few decades, the construction industry has experienced a series of changes including the innovation of construction technologies and the enhancement of management strategies. These improvements should have had a considerable effect on industrial efficiency and productivity performance, but research is needed to address whether the capital productivity levels of the construction industry have in fact shown such a huge improvement. This paper aims to develop an analysis procedure to measure capital productivity changes and to reasonably quantify factors affecting productivity levels in the construction industry. Based on the data envelopment analysis method, this research has developed a novel model measuring capital productivity and has applied it to the Australian construction industry. The numerical results indicate that the average annual capital productivity levels of the construction industry are slowly growing in all the Australian states and territories except for Queensland and Western Australia. In addition, construction technologies are shown to have a close relationship with the changes in capital productivity according to the temporal-spatial comparisons of productivity indices. The research findings are expected to be beneficial for making policy and strategic decisions to improve the capital productivity performance.