Examining The Role of Job by Geographically Weighted Poisson Regression in The Post-Migration Adaptation Process: The Case of Van

Bahadır Yüzbaşı; Çetin Görür

Article Details

Examining The Role of Job by Geographically Weighted Poisson Regression in The Post-Migration Adaptation Process: The Case of Van

Authors:

Bahadır Yüzbaşı | Çetin Görür

Publisher:

Van Yuzuncu Yıl University

Main Topics:

Göç Sosyolojisi

Journal:

Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue Cumhuriyet Özel Sayısı, pp.11-27

Document Type:

Article

Publication Date:

10/2023

Document Language:

English

Document ID (Org No.):

2001303365

pISSN:

1302-6879

Keywords:

Abstract:

 Migration is a process of social change that involves the geographical relocation of people from one settlement to another, either permanently or temporarily, in order to spend all or part of their future lives. Van province is among the provinces receiving migration due to its geopolitical location and level of development. Migrant individuals need to adapt to that society in order to normalise their relations with the resident population over time. Individuals are in constant contact with the society due to the work done after migration, so it is thought that the work done has an important effect on the adaptation process. In this study, the effect of work on the post-migration adjustment process of individuals migrating from the first and second degree border neighbouring provinces of Van province was analysed using Poisson and Geographically Weighted Poisson Regression methods. The aim of the study is to determine the relationship between the contribution of work in the post-migration adjustment process and independent variables and to analyse which of the models used for the analysis gives stronger results. In the study, a face-to-face survey was conducted with 440 individuals and it was observed that the Geographically Weighted Poisson Regression method gave stronger results according to AIC, AICc and R2 values. In addition, the effect and significance of the relationship between the dependent variable and independent variables according to provinces and districts are visualised and given with maps.

 Migration is a process of social change that involves the geographical relocation of people from one settlement to another, either permanently or temporarily, in order to spend all or part of their future lives. Van province is among the provinces receiving migration due to its geopolitical location and level of development. Migrant individuals need to adapt to that society in order to normalise their relations with the resident population over time. Individuals are in constant contact with the society due to the work done after migration, so it is thought that the work done has an important effect on the adaptation process. In this study, the effect of work on the post-migration adjustment process of individuals migrating from the first and second degree border neighbouring provinces of Van province was analysed using Poisson and Geographically Weighted Poisson Regression methods. The aim of the study is to determine the relationship between the contribution of work in the post-migration adjustment process and independent variables and to analyse which of the models used for the analysis gives stronger results. In the study, a face-to-face survey was conducted with 440 individuals and it was observed that the Geographically Weighted Poisson Regression method gave stronger results according to AIC, AICc and R2 values. In addition, the effect and significance of the relationship between the dependent variable and independent variables according to provinces and districts are visualised and given with maps.

 Migration is a process of social change that involves the geographical relocation of people from one settlement to another, either permanently or temporarily, in order to spend all or part of their future lives. Van province is among the provinces receiving migration due to its geopolitical location and level of development. Migrant individuals need to adapt to that society in order to normalise their relations with the resident population over time. Individuals are in constant contact with the society due to the work done after migration, so it is thought that the work done has an important effect on the adaptation process. In this study, the effect of work on the post-migration adjustment process of individuals migrating from the first and second degree border neighbouring provinces of Van province was analysed using Poisson and Geographically Weighted Poisson Regression methods. The aim of the study is to determine the relationship between the contribution of work in the post-migration adjustment process and independent variables and to analyse which of the models used for the analysis gives stronger results. In the study, a face-to-face survey was conducted with 440 individuals and it was observed that the Geographically Weighted Poisson Regression method gave stronger results according to AIC, AICc and R2 values. In addition, the effect and significance of the relationship between the dependent variable and independent variables according to provinces and districts are visualised and given with maps.

 Göç, insanların gelecekteki yaşamlarının tamamını ya da bir kısmını geçirmek üzere, kalıcı ya da geçici olarak, bir yerleşim biriminden diğerine coğrafi olarak yer değiştirmelerini içeren bir toplumsal değişim sürecidir. Van ili jeopolitik konumu ve gelişmişlik düzeyi nedeniyle göç alan iller arasında yer almaktadır. Göç eden bireylerin yerleşik nüfusla ilişkilerinin zaman içinde normalleşmesi için o topluma uyum sağlaması gerekmektedir. Bireyler göç sonrası yapılan iş nedeniyle toplumla sürekli temas halindedir, bu nedenle yapılan işin uyum sürecinde önemli bir etkiye sahip olduğu düşünülmektedir. Bu çalışmada Van ilinin birinci ve ikinci derece sınır komşusu illerden göç eden bireylerde göç sonrası uyum sürecinde çalışmanın etkisi Poisson ve Coğrafi Ağırlıklı Poisson Regresyon yöntemleri kullanılarak analiz edilmiştir. Çalışmanın amacı, göç sonrası uyum sürecinde işin katkısı ile bağımsız değişkenler arasındaki ilişkiyi belirlemek ve analiz için kullanılan modellerden hangisinin daha güçlü sonuçlar verdiğini analiz etmektir. Çalışmada 440 birey ile yüz yüze anket yapılmış ve AIC, AICc ve R2 değerlerine göre Coğrafi Ağırlıklı Poisson Regresyon yönteminin daha güçlü sonuçlar verdiği gözlemlenmiştir. Ayrıca illere ve ilçelere göre bağımlı değişken ile bağımsız değişkenler arasındaki ilişkinin etkisi ve anlamlılığı görselleştirilerek haritalarla verilmiştir.

Article Details

Examining The Role of Job by Geographically Weighted Poisson Regression in The Post-Migration Adaptation Process: The Case of Van

Authors:

Bahadır Yüzbaşı | Çetin Görür

Publisher:

Van Yuzuncu Yıl University

Main Topics:

Göç Sosyolojisi

Journal:

Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue Cumhuriyet Özel Sayısı, pp.11-27

Document Type:

Article

Publication Date:

10/2023

Document Language:

English

Document ID (Org No.):

2001303365

pISSN:

1302-6879

Economy

Geographically Weighted Poisson Regression

MigrationEkonomi

Göç

Coğrafi Ağırlıklı Poisson Regresyon

Issues

Article Details

Examining The Role of Job by Geographically Weighted Poisson Regression in The Post-Migration Adaptation Process: The Case of Van

Authors: Bahadır Yüzbaşı | Çetin Görür

Publisher: Van Yuzuncu Yıl University

Main Topics: Göç Sosyolojisi

Journal: Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue Cumhuriyet Özel Sayısı, pp.11-27

Document Type: Article

Publication Date: 10/2023

Document Language: English

Document ID (Org No.): 2001303365

pISSN: 1302-6879

Economy

Geographically Weighted Poisson Regression

MigrationEkonomi

Göç

Coğrafi Ağırlıklı Poisson Regresyon

Issues

Authors:

Bahadır Yüzbaşı | Çetin Görür

Publisher:

Van Yuzuncu Yıl University

Main Topics:

Göç Sosyolojisi

Journal:

Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Issue Cumhuriyet Özel Sayısı, pp.11-27

Document Type:

Article

Publication Date:

10/2023

Document Language:

English

Document ID (Org No.):

2001303365

pISSN:

1302-6879