Abstract
The study is examined the contributions of Turkish labours on the national
incomes of seven members economies in European Union (Austria, Belgium,
Denmark, Finland, France, Germany, The Netherlands and Sweden) and
Norway. The analysis is done in the frame of the economic productivity and the
production efficiency. The situation is displayed by the efficiency estimation
models, which are Data Envelopment Analysis, Potential Reclamation Analysis
and Malmquist Index. In the study, the contributions of the Turkish labours to
the economies were assessed with comparatively another important production
factors’, like native labours’, other foreign labours’ and capital’s contributions.
The study is also important to give an idea that whether immigrating Turkish
labours to the related countries, has provided an adaptation with other
production factors to the economies. The study is realized in three stages: In the
first stage the contributions of the total labour and capital to the production of
the related countries is observed. In this analysis the most efficient countries are
Sweden and Norway. Reason of the inefficiency of the other countries is the
excess of the total labor. Only inefficiency of Austria and Denmark is originated
from the excess of capital in a few years. In the first stage, Inability to protect
the capability of efficiency which means that there are structural problems in
the production was seen in Belgium, Finland, France, and Germany. Because
those countries ‘averages of the total factor productivity changes, that is
Malmquist Index, are small than one. In the second stage, related countries’
total labor factor is decomposed into two different factors that one is the
domestic labor force and other is the foreign labor force In the second stage,
Finland is also added to the most efficient two countries in the first stage which
are Sweden and Norway In this analysis, inefficiency of the other countries is
mostly rise from the excess of the foreign labor force. Even though in the first
stage analysis, Finland have not got ability to protect the efficiency in terms of
the production structures, is both one of the most efficient countries and also, is
stable to protect her efficiency which is related to the technological
improvements. Because, Finland has a smaller rate of foreign labor to the total
labour force than the other countries. Also she has a good composition with this
factor to the other production factors to obtain the efficiency. Only France has
not got an ability to protect efficiency in the second stage. In the third stage,
related countries’ total labor factor is decomposed into three different factors
that one is the domestic labor force and other is Turkish labour force and
another is foreign labor force. The efficient countries are the same as in second
stage analysis. In the third stage, inefficiency of the other countries is frequently
occurred densely from the other foreign labor. Turkish labor force effects the
inefficiency mostly in Austria and Germany in both of which the rate of the
Turkish labor to the total labor is higher than in the other countries. But Turkish
labor is not play more role in inefficiency than the domestic and other foreign
labor In Germany, although, Turkish labor has a role on inefficiencies from
time to time in the beginning of the period which is analyzed in this study, at the
end of the period the domestic and other foreign labor force become main
reasons to the inefficiencies. In the other inefficient economies, Turkish labor
force has not got any role on inefficiencies. In the third stage the Malmquist
Index increase in all of the economies, except France, That means, total factor
productivities are improved in all countries’ production, but France’s.
Even thought, it is seen that the Turkish labour rates in total labour force in
related the countries decrease year to year, the results of the analysis show that,
the Turkish labour force is a production factor which has a big contribution to
economic efficiency in related European countries, and also, this contribution
continuously increases.
Abstract
Çalışma, Türk işçilerinin, AB üyesi yedi ülkenin (Avusturya, Belçika, Finlandiya, Fransa, Almanya, Hollanda ve İsveç) ve Norveç’in milli gelirlerine olan katkılarını incelemektedir. Analiz, iktisadi verimlilik ve üretim etkinliği çerçevesinde yapılmaktadır. Durum, etkinlik modelleriyle ortaya konulmaktadır. Bu modeller, veri zarflama analizi, potansiyel iyileştirme analizi ve Malmquist endeksidir. Çalışmada, Türk işgücünün bu ekonomilere olan katkısı, yerli ve diğer yabancı işgücü ve sermaye gibi diğer önemli üretim faktörlerinin katkılarıyla karşılaştırmalı olarak değerlendirilmektedir. Çalışma, ilgili ülkelere göç eden Türk işgücünün diğer üretim faktörleriyle birlikte ülke ekonomilerine bir adaptasyon sağlayıp sağlamadığı konusunda da fikir vermesi açısından önemlidir. Çalışma, üç aşamada gerçekleştirilmektedir. Birinci aşamada, ilgili ülkelerin toplam işgücü ve sermaye faktörlerinin üretime olan katkıları incelenmektedir. Bu analizde etkinlikleri en yüksek ülkeler, İsveç ve Norveç’tir. İkinci aşamada, ilgili ülkelerin toplam işgücü faktörü ikiye ayrıştırılarak yerli ve yabancı emek olarak farklı faktörler şeklinde analize koyulmaktadır. İkinci aşamada, en etkin ülkeler arasına Finlandiya da katılmaktadır. Üçüncü aşamada, ilgili ülkelerin toplam işgücü faktörü üçe ayrıştırılarak bu ülkelerde yaşayan Türk vatandaşı olan emek, diğer yabancı ülke vatandaşı emek ve ülkenin yerli emeği olarak farklı faktörler şeklinde analize koyulmaktadır. Üçüncü aşamada, ikinci aşamada etkin olan ülkeler dışında etkin olan ülkeler yoktur.İlgili ülkelerde, Türk işgücünün toplam işgücündeki oranında yıldan yıla azalma görülse de, analizin sonuçları, Türk işgücünün ilgili Avrupa ülkelerinin iktisadi etkinliğine olan katkısı yüksek bir üretim faktörü olduğunu ve bu katkının yıldan yıla arttığını göstermektedir.
Details
| Other ID | JA74PH65CM |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | June 1, 2009 |
| Published in Issue | Year 2009 Volume: 11 Issue: 1 |