Güney Celbiş (PhD UNU-MERIT, 2015) is an affiliated researcher at UNU-MERIT, and an assistant professor at Yeditepe University, Istanbul, Turkey. 

• Curriculum Vitae (Download)

Research interests:

- Tree-based machine learning models for socioeconomic analysis

- Urban and rural economies and spatial economics

Journal Publications:                                        

• Celbis, M. G. (2021). "A Machine Learning Approach to Rural Entrepreneurship." Papers in Regional Science.                          (SSCI-Q1)
• Celbis, M. G., Wong, P., Kourtit, K., Nijkamp, P. (2021). "Innovativeness, Work Flexibility, and Place Characteristics: A Spatial Econometric and Machine Learning Approach." Sustainability.                               (SSCI-Q2)
• Celbis, M. G. (2021). "Social Networks, Female Unemployment, and the Urban-Rural Divide in Turkey: Evidence from Tree-Based Machine Learning Algorithms." Sosyoekonomi.                                               (ESCI)
• Celbis, M. G. (2021). "The regional and industrial dimensions of gender inequality in firm top management positions: A classification tree and random forest analysis." Business & Management Studies: An International Journal, 9(2), 439-455 (in Turkish).          
• Aydoğan, E.T., Karadeniz, E.E, Celbiş, M. G. (2021). "Entrepreneurship and Sustainable Regional Development in Turkey: Findings Obtained from Machine Learning Approaches." Ekonomi, Politika ve Finans Araştırmaları Dergisi. 6(3) 882-911 (in Turkish).
• Wong, P, and Celbis, M. G. (2019). "Human rights, income, and international migration." International Migration.                          (SSCI-Q2)
• Celbis, M. G., Wong, P., and Guznajeva, T. (2019). "Regional integration and the economic geography of Belarus." Eurasian Geography and Economics.                                                                            (SSCI-Q1)
• Celbis, M. G., and de Crombrugghe, D. (2018). "Internet infrastructure and regional convergence: Evidence from Turkey." Papers in Regional Science.                                                                                        (SSCI-Q1)
• Celbis, M. G., Nijkamp, P., and Poot, J. (2014). "Infrastructure and Trade: A meta-analysis." Region.                                                           (Scopus-Q2)
• Celbis, M. G., and Turkeli, S. (2015). "Does too much work hamper innovation? Evidence for diminishing returns of work hours for patent grants." Journal - Global Policy and Governance.                                                                                                      (Featured in Research Professional)
• Celbis, M. G., de Crombrugghe, D., and Muysken, J. (2019). "Competition for Infrastructure Among Regions in Turkey." Bölgesel Arastirmalar Dergisi, 3 (2), 115-161.                                                                                                                                          

Book Chapters:                                                                              

• Celbis, M.G. (2021). "Applications of Machine Learning Models in Regional and Demographic Economic Analysis: A Literature Survey." In: Cochrane W., Cameron M.P., Alimi O. (eds) Labor Markets, Migration, and Mobility: Essays in Honor of Jacques Poot. New Frontiers in Regional Science: Asian Perspectives. Springer, Singapore.      
• Celbis, M. G., Nijkamp, P., and Poot, J. (2015). "Infrastructure and the international export performance of Turkish regions." in A. A. Batabyal and P. Nijkamp (eds), The Region and Trade: New Analytical Directions, World Scientific.                                                                                                                                                     

Reports:

• Celbis, M. G. "A Summary of Selected Innovation-Related Indicators for Turkey." Yeditepe University Economics Notes 2019-3.       

In Media:

• Research Professional article about the study “Does too much work hamper innovation? Evidence for diminishing returns of work hours for patent grants.”

Selected publications by Mehmet Guney Celbis