Analysis of Provincial Export Performance in Türkiye: A Spectral Clustering Approach

Emre Akusta

Makale detayları

Analysis of Provincial Export Performance in Türkiye: A Spectral Clustering Approach

Yazarlar:

Emre Akusta

Yayıncı:

Fırat University

Ana Başlıklar:

Kalkınma Ekonomisi - Makro

Dergi:

Fırat Üniversitesi Sosyal Bilimler Dergisi Vol.35 Issue 1, pp.123-140

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001338747

pISSN:

1300-9702

Anahtar kelimeler:

Özet:

 This study analyzes and clusters Turkiyes 81 provinces based on their export performance. The study uses import, export and net export data for 2023. In addition, exchange rate-adjusted versions of the data were also included to eliminate the effects of exchange rate fluctuations. Spectral clustering method is used to group the export performance of cities. The optimum number of clusters was determined by the Eigen-Gap method. The Silhouette coefficient method was used to evaluate the clustering performance. As a result of the analysis, it was determined that the data set was optimally separated into 3 clusters. Spectral-clustering analysis based on export performance showed that 42 of the provinces are in the Low, 33 in the Medium and 25 in the High export performance category. In terms of import performance, 44, 33, 33, and 22 of the provinces are in the Medium, High, and Low categories, respectively. In terms of net exports, 38, 35 and 27 of the provinces are in the Low, Medium and High net export performance categories, respectively. İzmir has the highest net export performance, while İstanbul has the lowest.

 This study analyzes and clusters Turkiyes 81 provinces based on their export performance. The study uses import, export and net export data for 2023. In addition, exchange rate-adjusted versions of the data were also included to eliminate the effects of exchange rate fluctuations. Spectral clustering method is used to group the export performance of cities. The optimum number of clusters was determined by the Eigen-Gap method. The Silhouette coefficient method was used to evaluate the clustering performance. As a result of the analysis, it was determined that the data set was optimally separated into 3 clusters. Spectral-clustering analysis based on export performance showed that 42 of the provinces are in the Low, 33 in the Medium and 25 in the High export performance category. In terms of import performance, 44, 33, 33, and 22 of the provinces are in the Medium, High, and Low categories, respectively. In terms of net exports, 38, 35 and 27 of the provinces are in the Low, Medium and High net export performance categories, respectively. İzmir has the highest net export performance, while İstanbul has the lowest.

 This study analyzes and clusters Turkiyes 81 provinces based on their export performance. The study uses import, export and net export data for 2023. In addition, exchange rate-adjusted versions of the data were also included to eliminate the effects of exchange rate fluctuations. Spectral clustering method is used to group the export performance of cities. The optimum number of clusters was determined by the Eigen-Gap method. The Silhouette coefficient method was used to evaluate the clustering performance. As a result of the analysis, it was determined that the data set was optimally separated into 3 clusters. Spectral-clustering analysis based on export performance showed that 42 of the provinces are in the Low, 33 in the Medium and 25 in the High export performance category. In terms of import performance, 44, 33, 33, and 22 of the provinces are in the Medium, High, and Low categories, respectively. In terms of net exports, 38, 35 and 27 of the provinces are in the Low, Medium and High net export performance categories, respectively. İzmir has the highest net export performance, while İstanbul has the lowest.

 Bu çalışma, Türkiyenin 81 ilini ihracat performanslarına göre analiz etmekte ve kümelendirmektedir. Çalışmada 2023 yılı ithalat, ihracat ve net ihracat verileri kullanılmıştır. Ayrıca, döviz kuru dalgalanmalarının etkilerini ortadan kaldırmak için verilerin döviz kurundan arındırılmış versiyonları da analize dahil edilmiştir. Çalışmada şehirlerin ihracat performanslarını gruplamak için spektral kümeleme yöntemi kullanılmıştır. Son olarak, optimum küme sayısı ise Eigen-Gap yöntemi ile belirlenmiştir. Kümeleme performansını değerlendirmek için siluet katsayısı yöntemi kullanılmıştır. Yapılan analiz sonucunda veri setinin optimal olarak 3 kümeye ayrıldığı tespit edilmiştir. İhracat performansına dayalı spektral-kümeleme analizi, illerin 42sinin Düşük, 33ünün Orta ve 25inin Yüksek ihracat performansı kategorisinde yer aldığını göstermiştir. İthalat performansı açısından illerin 44ü Orta, 33ü Yüksek ve 22si Düşük ihracat performansı kategorisinde yer almaktadır. Net ihracat açısından ise illerin 38i Düşük, 35i Orta ve 27si Yüksek net ihracat performansı kategorisinde yer almaktadır. Analiz sonuçlarına göre, İzmir en yüksek net ihracat performansına sahipken, İstanbul en düşük net ihracat performansına sahip ildir.

Makale detayları

Analysis of Provincial Export Performance in Türkiye: A Spectral Clustering Approach

Yazarlar:

Emre Akusta

Yayıncı:

Fırat University

Ana Başlıklar:

Kalkınma Ekonomisi - Makro

Dergi:

Fırat Üniversitesi Sosyal Bilimler Dergisi Vol.35 Issue 1, pp.123-140

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001338747

pISSN:

1300-9702

Export Performance

Spectral Clustering

Provinces of Turkiye

Eigen-Gap Method

Silhouette Coefficientİhracat Performansı

Spektral Kümeleme

Eigen-Gap Yöntemi

Silhouette Katsayısı

türkiyenin illeri

Sayı

Makale detayları

Yazarlar: Emre Akusta

Yayıncı: Fırat University

Ana Başlıklar: Kalkınma Ekonomisi - Makro

Dergi: Fırat Üniversitesi Sosyal Bilimler Dergisi Vol.35 Issue 1, pp.123-140

Belge Tipi: Makale

Yayın Tarihi: 1/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001338747

pISSN: 1300-9702

Sayı

Yazarlar:

Emre Akusta

Yayıncı:

Fırat University

Ana Başlıklar:

Kalkınma Ekonomisi - Makro

Dergi:

Fırat Üniversitesi Sosyal Bilimler Dergisi Vol.35 Issue 1, pp.123-140

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001338747

pISSN:

1300-9702