Firms’ Clustering and SEE Export Performance: Lessons from the Italian Experience (Record no. 8751)

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000 -LEADER
fixed length control field 02237nam a22002777u 4500
001 - CONTROL NUMBER
control field pwiiw3305
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260517120329.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 020131t2002 au ||||| |||| 00| ||eng d
040 ## - CATALOGING SOURCE
Transcribing agency OSt
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Carlo Padoan, Pier
245 10 - TITLE STATEMENT
Title Firms’ Clustering and SEE Export Performance: Lessons from the Italian Experience
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Wien :
Name of publisher, distributor, etc. Wiener Institut für Internationale Wirtschaftsvergleiche (wiiw),
Date of publication, distribution, etc. 2002.
490 1# - SERIES STATEMENT
Series statement wiiw Balkan Observatory Working Papers
Volume/sequential designation 21
520 ## - SUMMARY, ETC.
Summary, etc. Like all transition economies, South Eastern Europe (SEE) countries stand to gain most from an export-led growth. Unfortunately, though, productive structure in these countries is largely made up of small and medium enterprises (SMEs) that, due to their limited size, may face obstacles to gain access to international markets. A possible way out of the conundrum is for SMEs to cluster together and, by sharing the costs of internationalization, jointly tap foreign markets. This approach has been at the heart of the successful export performance of SMEs clustered within Italy’s industrial districts. In this paper we use historical data on Italian exports (in 1971 and 1961) to quantify the boosting effect due to firms’ clustering. In particular, we use detailed data on export classified by sector and by destination country to estimate a panel gravity model on which we compute the firms’ clustering effect. Next, building on the Italian experience we design four scenarios for firms’ clustering in three SEE economies (Bulgaria, Romania and Slovenia). By means of these scenarios and applying the estimated coefficient for firms’ clustering in Italy, we simulate the firms’ clustering effect for the three SEE economies and obtain the gain in export growth over the benchmark case. Results show that an additional export growth between 3% and 11% over a five- year period could be expected.
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name Bulgaria
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name Romania
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name SEE
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name Slovenia
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name De Arcangelis, Giuseppe
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ferri, Giovanni
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Volume/sequential designation 21
Bibliographic record control number WIIW0000140
Title of a work wiiw Balkan Observatory Working Papers
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://wiiw.ac.at/p-3305.html">https://wiiw.ac.at/p-3305.html</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Paper
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        WIIW WIIW Library 01/31/2002 pwiiw3305   21 1000010003305 01/31/2002 02/05/2019 Paper
The Vienna Instiute for International Economic Studies (wiiw)