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Researching Sustainable Rural Development With Location Quotient Method in Yozgat (2006-2016)

Researching Sustainable Rural Development With Location Quotient Method in Yozgat (2006-2016)

Barış Ergen, Muhammed Özgür Oğuz
Copyright: © 2019 |Pages: 29
ISBN13: 9781522571582|ISBN10: 1522571582|EISBN13: 9781522571599
DOI: 10.4018/978-1-5225-7158-2.ch011
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MLA

Ergen, Barış, and Muhammed Özgür Oğuz. "Researching Sustainable Rural Development With Location Quotient Method in Yozgat (2006-2016)." Handbook of Research on Rural Sociology and Community Mobilization for Sustainable Growth, edited by Qaiser Rafique Yasser, IGI Global, 2019, pp. 179-207. https://doi.org/10.4018/978-1-5225-7158-2.ch011

APA

Ergen, B. & Oğuz, M. Ö. (2019). Researching Sustainable Rural Development With Location Quotient Method in Yozgat (2006-2016). In Q. Yasser (Ed.), Handbook of Research on Rural Sociology and Community Mobilization for Sustainable Growth (pp. 179-207). IGI Global. https://doi.org/10.4018/978-1-5225-7158-2.ch011

Chicago

Ergen, Barış, and Muhammed Özgür Oğuz. "Researching Sustainable Rural Development With Location Quotient Method in Yozgat (2006-2016)." In Handbook of Research on Rural Sociology and Community Mobilization for Sustainable Growth, edited by Qaiser Rafique Yasser, 179-207. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7158-2.ch011

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Abstract

This chapter investigates employment structure with regard to sustainable rural development for the NUTS-4 regions. In this research, the Location Quotient (LQ) method was used to provide statistical knowledge on geographical location and clustering. The employment structure is examined under three categories: 1) number of employees contributing to rural production using traditional methods; 2) number of employees in vegetable and animal production, and logging and fishing; and 3) number of employees in the food industry. Of these three areas of interest, the LQ method could not be applied to the first one because of the lack of entrepreneurship and capital accumulation. It was concluded that Sorgun, Çandır and Akdağmadeni were the NUTS-4 regions that contributed to rural production. Clustering was detected in Çayıralan, Aydıncık, Kadışehri and Akdağmadeni NUTS-4 regions that contributed to business activity in vegetable and animal production, and logging and fishing. Clustering in activities in the food industry was detected in Boğazlıyan, Çayıralan, Çandır and Sorgun NUTS-4 regions.

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