Analysis of the Potential of International Migration Issues in the Context of Economic Indicators is Provided in Time Series Analysis: The Case of Turkey

Furkan İlker Akin

Abstract


The phenomenon of migration, starting with the existence of humanity and continuing until today, can be evaluated in the context of two main functions, especially in recent years. The first is the phenomenon of illegal migration and the other is the phenomenon of international migration.
The phenomenon of illegal immigration is a phenomenon that gains importance with the change of international security perceptions and is considered as a security threat.
Turkey, both geographical location as being sourced from the environmental status of developed country by country, international migration and illegal immigration, as well as being the country of transit countries also come to the fore. However, it is clear that it does not have as strict measures as other countries that have a say in the context of migration effects. This situation is directly related to the phenomenon of irregular migration as well as lack of data on migration and other migration related issues.
In this study, since the realization of the basic concepts explaining the phenomenon of migration for international migration in Turkey will be discussed likely to cause socio-economic problems. Turkey should both source and transit in migration issues in the target countries qualify as international issues will be discussed. In this case the cost of Turkey or sing with a clearer impact on market conditions functioning in Turkey will be investigated.
In this study, time series analysis will be studied. As the dependent variable is the number of immigrants who are present in Turkey determined arguments producer price index, consumer price index and gross domestic revenue. Gretel Lab Cloud program will use Breusch-Godfrey autocorrelation analysis. The study will be analyzed to cover the years 2005-2023. On the other hand, the data set to be used in the analysis will be discussed on an annual basis.
Machine learning models have the ability to detect hidden patterns in data and identify complex relationships between variables. The machine learning algorithms that will be used in this research can help us to analyse the factors affecting the migration phenomenon in Turkey and the effects of these factors on economic indicators.
Machine learning methods can reveal important information about the migration phenomenon in Turkey. Moreover, machine learning models can also be used to predict future migration trends. This may be effective in making more informed decisions while shaping Turkey’s policies on migration phenomenon.
However, should also consider the limitations of the machine learning methods. To use in our project. The quality and representativeness of the data set may affect the reliability of the machine learning results. Also, the complexity of the model and the interpretability of the results are important.


Keywords


Migration; Immigrant; Refugee; International migration; Turkey

Full Text:

PDF

References


Bednov, A. (2009). Immigration in the BSEC Member States - Social and Cultural Aspects, Report of the 32nd General Assembly of Bucharest on June 13, 2009, Document GA33/CC32/REP/09/en, 2009.

Danış, A. D. (2004). New Migration Movements and Turkey. Birikim, 184-185, 216-224.

Demir, O. Ö., & Erdal, H. (2012). The Problem of Misunderstanding the Concepts Related to Illegal Migration and a Review on the News in the Press. Journal of Police Sciences, 12(1), 29-54.

Deniz, T. (2014). Turkey in the Perspective of International Migration Problem. Turkish Journal of Social Research, 181(181), 175-204.

General Inventory of Service Applications of the General Directorate of Rural Services. (1996). Ankara.

Giddens, A. (2010). The Impact of Immigrants on the Labour Market. Sociology Beginning Readings (pp.522-527). Ankara: Say publications.

İçduygu, A. (1996). Transit Migrants and Turkey. Boğaziçi Journal of Social, Economic and Administrative Sciences, 10(1-2), 127-142.

İçduygu, A. (2004). Illegal Migration in Turkey. Istanbul Chamber of Commerce Publications No: 2004-65, Can Agency and Printing, Istanbul.

Kirişçi, K. (1994). The Legal Status of Asylum-Seekers in Turkey: Problems and Prospects. International Journal of Refugee Law, 3(3).

Kirişçi, K. (1999). Evaluation of Migration Movements to Turkey: Balance Sheet: 1923-1998. An Overview of 75 Years of the Republic of Turkey, History Foundations Publication, Istanbul, 1, 111-121.

Koçak, Y., & Terzi, E. (2012). The Phenomenon of Migration in Turkey, The Effects of Immigrants on Cities and Solution Suggestions. Journal of the Faculty of Economics and Administrative Sciences of Kafkas University, 3(3), 163-184.

Mutluer, M., & Südaş, İ. (2008). European Migration to Turkey’s Tourism Centers in Terms of Economic Effects. Aegean Journal of Geography, 17(1-2), 51-59.

Özekmekçi, M. İ. (2010). Immigrant Who Cannot Cross the Threat Line. Hayat Health Journal, July, (2), 44-48.

Şen, F. Y. (n.d.). Immigrant Smuggling, Human Trafficking, Organ – Tissue Trade from the Perspective of the World and Turkey. Ankara: KOM (Department of Combating Smuggling and Organized Crime) and TADOC (Turkey International Academy of Combating Drugs and Organized Crime) Publications.

UNHCR (United Nations High Commissioner for Refugees). (2007). Statistical Yearbook 2006. Switzerland, 81-83. http://unhcr.org.tr

UNODC (United Nations Office on Drugs and Crime). (2006). Trafficking in Persons: Global Patterns. Retrieved from http://www.unodc.org./pdf/traffickinginpersons_report_2006ver2.pdf

Widgren, J. (n.d.). Turkey on the Threshold to the EU: Will migration be a complicating or facilitating factor? In E. Zeybekoğlu & B. Johansson (Eds.), Migration and Labour in Turkey (s. 47). Istanbul: Sefik Printing House.

Yıldırımoğlu, H. (2005). International Labor Migration: Turkish Labor Migration to Germany. Kamu-Is, 8(1).




DOI: http://dx.doi.org/10.3968/13183

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Higher Education of Social Science

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


Share us to:   


Reminder

  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
caooc@hotmail.com; hess@cscanada.net; hess@cscanada.org

 Articles published in Higher Education of Social Science are licensed under Creative Commons Attribution 4.0 (CC-BY).

HIGHER EDUCATION OF SOCIAL SCIENCE Editorial Office

Address: 1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.
Telephone: 1-514-558 6138 
Website: Http://www.cscanada.net Http://www.cscanada.org 
E-mailcaooc@hotmail.com; office@cscanada.net

Copyright © 2010 Canadian Research & Development Center of Sciences and Cultures