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(production) to input (production factors). A<br />

expresses the contribution <strong>of</strong> other factors,<br />

besides labor and capital. The values<br />

190<br />

estimated using multiple regression are<br />

summarized in Table 2.<br />

Table 2: Estimated coefficients for the production function related to the manufacturing<br />

industry in Romania and Germany for the period 2000-2007.<br />

A α β<br />

Germany 19,04085387 0,857702548 0,146318628<br />

Romania 0,581636175 0,052085522 0,972634345<br />

Source: made by author based on econometric calculations<br />

In Germany the elasticity <strong>of</strong> production to<br />

labor is 0.86, that means work contributed<br />

decisevely to the increase <strong>of</strong> production in the<br />

period studied, while in Romania it is close to<br />

zero. Coefficient A shows the effect <strong>of</strong><br />

technical refinements, organizational, etc.<br />

over production growth: it is high in Germany<br />

and low in Romania. Unlike labor factor,<br />

capital factor has had a remarkable<br />

contribution to increasing the production in<br />

Romania (although this increase was modest).<br />

We provide those interested many useful<br />

statistical data series concerning the<br />

investigated theme.<br />

We believe that the elements outlined above<br />

can represent the base for analysis for all<br />

Romanian manufacturing industries because<br />

the comparison <strong>of</strong> them with several leaders<br />

<strong>of</strong> the world economy can represent the<br />

scientific fundament necessary for<br />

elaboration <strong>of</strong> economic policies.<br />

7. Bibliography<br />

Books<br />

1. Jack B. Revelle 's Quality Essentials: A<br />

Reference Guide from A to Z, ASQ Quality<br />

Press, 2004, pages 8-9.<br />

2. Bogan, Christopher E., English, Michael J.<br />

Benchmarking for Best Practices: Winning<br />

through Innovative Adaptation, New York:<br />

McGraw-Hill, 1994, ISBN 0070063753<br />

3. Bolstorff, Peter Rosenbaum, Robert,<br />

Supply Chain Excellence: A Handbook for<br />

Dramatic Improvement Using the SCOR<br />

Model, USA: AMACOM, 2003<br />

4. Zhu, Joe, Quantitative models for<br />

Performance Evaluation and Benchmarking:<br />

Data Development Analysis with<br />

Spreadsheets and Dea Excel Solver, Boston:<br />

Kluwer Academic Publishers, 2003<br />

Articles<br />

1. Camp R.C. 1993, A Bible for<br />

benchmarking, by Xerox. Financial Executive<br />

(July / August), pp 23-27.<br />

2. Sherman, David H., Zhu, Joe,<br />

Benchmarking to Seek Lower-Cost High-<br />

Quality Service with Data Envelopment<br />

Analysis: Evidence from the U.S. bank<br />

application<br />

Web sites:<br />

1.How to Use Benchmarking in Business,<br />

accesed 20 April 2011,<br />

http://management.about.com/cs/benchmarki<br />

ng/a/Benchmarking.htm<br />

2.Benchmarking - Past, Present and Future,<br />

accesed 24 April 2011,<br />

http://www.benchnet.com/bppf2003e.cfm<br />

3.Strategy – benchmarking, accesed 24 April<br />

2011,<br />

http://tutor2u.net/business/strategy/benchmar<br />

king.htm

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