An Investigation of Spatial Contiguity for Provinces in Turkey Using Nomenclature of Territorial Units for Statistics Level 3 Data Cover Image

An Investigation of Spatial Contiguity for Provinces in Turkey Using Nomenclature of Territorial Units for Statistics Level 3 Data
An Investigation of Spatial Contiguity for Provinces in Turkey Using Nomenclature of Territorial Units for Statistics Level 3 Data

Author(s): Ceren Yaman Yilmaz, Murat Atan
Subject(s): Business Economy / Management, Economic policy, Economic development, ICT Information and Communications Technologies
Published by: Reprograph
Keywords: spatial econometrics; spatial autoregressive (SAR); spatial error model (SEM);

Summary/Abstract: Using NUTS Level 3 data, this study examines whether provinces in Turkey exhibit spatial contiguity. Output-oriented BCC and CCR model forms of PCA and DEA were used in the data preparation phase. While a total of 72 models were obtained using findings resulting from PCA, CCR and BCC, those models having econometric complications and models not exhibiting spatial autocorrelation based on Moran’s I test, were excluded. For the remaining 13 models, SAR and SEM estimates were performed, and component-based spatial contiguities were determined for the provinces. The contiguities were confirmed visually through spatial mapping.

  • Issue Year: XI/2016
  • Issue No: 40
  • Page Range: 206-209
  • Page Count: 4
  • Language: English