Araştırma Makalesi
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Türkiye’de İşletme Faaliyetlerine Engel Teşkil Eden Faktörlerin Random Forest Algoritması ile İrdelenmesi

Yıl 2024, , 515 - 534, 30.06.2024
https://doi.org/10.18074/ckuiibfd.1397322

Öz

Bu çalışmanın temel amacı, Türkiye'deki işletmelerce faaliyetlere engel olduğu düşünülen başlıca faktörleri detaylı bir şekilde irdelemektir. Bu amaç doğrultusunda, Dünya Bankası İşletme Anketlerinden temin edilen kapsamlı ve zengin bir veri seti, Random Forest (RF) Algoritması ile analize tabi tutulmuştur. Ön analiz sonuçları; vergi oranlarının, finansa erişimin, siyasi istikrarsızlığın ve eğitimsiz işgücünün, işletmeler tarafından faaliyetlerin önünde engel olarak algılanan en önemli hususlar olduğunu ortaya koymuştur. RF sonuçlarına göre, faaliyetlere engel teşkil eden bu hususların firmalarca sorun olarak algılanıp algılanmaması, onların bazı özelliklerinden (firmanın daha olgun, daha büyük, daha deneyimli yöneticilere sahip olması veya firmanın denetime tabi olup olmaması ile büyük şehirde bulup bulunması gibi özelliklerinden) etkilenmektedir. Bu sonuçların, işletme sahiplerine ve yöneticilerine ayrıca kanun koyuculara, işletme faaliyetleri önündeki engellerin kaldırılmasına ve böylece ülkedeki sosyoekonomik durumun iyileşmesine katkı sağlayacak nitelikte bilgiler sunduğu düşünülmektedir.

Proje Numarası

Tübitak 2209A

Kaynakça

  • Bozkurt, İ. ve Kaya, M.V. (2023). Foremost features affecting financial distress and Bankruptcy in the acute stage of COVID-19 crisis. Applied Economics Letters, 30(8), 1112-1123.
  • Bozkurt, İ. ve Yıldız, M. (2022). Bireylerin Dini Sebeplerle Finansal Dışlanma Kararı Almalarına Etki Eden Faktörlerin İrdelenmesi. Third Sector Social Economic Review, 57(3), 2331-2346.
  • Breiman, L. (2001). Random forests. Machine learning, 45(1), 5-32.
  • Burkov, A. (2019). The hundred-page machine learning book (Vol. 1, p. 32). Quebec City, QC, Canada.
  • Ayyagari, M., Kunt, A. D., ve Maksimovic, V. (2006). How important are financing constraints?: the role of finance in the business environment (Vol. 3820). Washington DC: World Bank.
  • Beck, T. (2007). Financing constraints of SMEs in developing countries: Evidence, determinants and solutions. Washington DC: The World Bank.
  • Chavis, L., Klapper, L., ve Love, I. (2010). International differences in entrepreneurial finance. Age, 1(2).
  • Erdoğan, A. I. (2015). Which SMES perceive access to finance as an obstacle to their operations? Evidence from Turkey. Economic and Social Development: Book of Proceedings, 551.
  • Felsenstein, D. ve Schwartz, D. (1993). Constraints to small business development across the life cycle: some evidence from peripheral areas in Israel. Entrepreneurship & Regional Development, 5(3), 227-246.
  • Gill, A. ve Biger, N. (2012). Barriers to small business growth in Canada. Journal of Small Business and Enterprise Development, 19(4), 656-668.
  • Hosny, A. (2017). Political stability, firm characteristics and performance: Evidence from 6,083 private firms in the Middle East. Review of Middle East Economics and Finance, 13(1), 20170005.
  • Jabeen, Z., Ali, J., ve Yusuf, N. (2021). Difference in business obstacles faced by firms across sizes: evidence from enterprise survey data of India. Journal of Global Entrepreneurship Research, 11(1), 71-81.
  • Karacaovalı, B. (2017). Access to Finance in Turkey. Turkish Economic Review, 4(1), 1-18.
  • Kiracı, M. ve Beşer, M. K. (2009). İşletmelerde Nakit Dönüşüm Süresinin Karlılığa Etkisinin Panel Veri Analiziyle Sektörel Boyutta İncelenmesi: İMKB’de Bir Araştırma. Öneri Dergisi, 8(32), 261-270.
  • Krasniqi, B. A. (2007). Barriers to entrepreneurship and SME growth in transition: the case of Kosova. Journal of Developmental Entrepreneurship, 12(01), 71-94.
  • Lee, N. (2014). What holds back high-growth firms? Evidence from UK SMEs. Small Business Economics, 43, 183-195.
  • Lundberg, S.M., Lee, S.I., 2017. A unified approach to interpreting model predictions. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA, pp. 4768-4777.
  • Mohammed, I., ve Bunyaminu, A. (2021). Major obstacles facing business enterprises in an emerging economy: the case of Ghana using the World Bank Enterprise Survey. Journal of Small Business and Enterprise Development, 28(3), 475-487.
  • Ogundana, O. (2022). Obstacles facing women-owned enterprises: A case for Sub-Sahara African women. World review of entrepreneurship, management and sustainable development, 18(5-6), 529-544.
  • Okpara, J. O. ve Wynn, P. (2007). Determinants of small business growth constraints in a sub-Saharan African economy. SAM advanced management journal, 72(2), 24.
  • Pissarides, F., Singer, M., ve Svejnar, J. (2003). Objectives and constraints of entrepreneurs: evidence from small and medium size enterprises in Russia and Bulgaria. Journal of comparative economics, 31(3), 503-531.
  • Pissarides, F. (1999). Is lack of funds the main obstacle to growth? EBRD's experience with small-and medium-sized businesses in Central and Eastern Europe. Journal of Business Venturing, 14(5-6), 519-539.
  • Rehman, N. U., Çela, A., Morina, F., ve Gura, K. S. (2019). Barriers to growth of SMEs in Western Balkan countries. Journal of Management Development, 38(1), 2-24.
  • Robson, P. J., ve Obeng, B. A. (2008). The barriers to growth in Ghana. Small Business Economics, 30, 385-403.
  • Trifonova, O. P., Lokhov, P. G., ve Archakov, A. I. (2013). Metabolic profiling of human blood. Biochemistry (Moscow) Supplement Series B: Biomedical Chemistry, 7, 179-186.
  • Wang, Y. (2016). What are the biggest obstacles to growth of SMEs in developing countries?–An empirical evidence from an enterprise survey. Borsa Istanbul Review, 16(3), 167-176.

Examining the Factors Obstructing Business Activities in Turkey with the Random Forest Algorithm

Yıl 2024, , 515 - 534, 30.06.2024
https://doi.org/10.18074/ckuiibfd.1397322

Öz

The main purpose of this study is to examine in detail the main factors that are thought to hinder the activities of businesses in Turkey. For this purpose, a comprehensive and rich data set obtained from the World Bank Business Surveys was analyzed with the Random Forest (RF) Algorithm. Preliminary analysis results have revealed that tax rates, access to finance, political instability and uneducated workforce are the most important issues perceived by businesses as obstacles to operations. According to the RF results, whether these issues that hinder activities are perceived as a problem by companies is affected by some of their characteristics. It is thought that these results provide information to business owners and managers, as well as to legislators, that will contribute to the removal of obstacles to business activities and thus to the improvement of the socioeconomic situation in the country.

Proje Numarası

Tübitak 2209A

Kaynakça

  • Bozkurt, İ. ve Kaya, M.V. (2023). Foremost features affecting financial distress and Bankruptcy in the acute stage of COVID-19 crisis. Applied Economics Letters, 30(8), 1112-1123.
  • Bozkurt, İ. ve Yıldız, M. (2022). Bireylerin Dini Sebeplerle Finansal Dışlanma Kararı Almalarına Etki Eden Faktörlerin İrdelenmesi. Third Sector Social Economic Review, 57(3), 2331-2346.
  • Breiman, L. (2001). Random forests. Machine learning, 45(1), 5-32.
  • Burkov, A. (2019). The hundred-page machine learning book (Vol. 1, p. 32). Quebec City, QC, Canada.
  • Ayyagari, M., Kunt, A. D., ve Maksimovic, V. (2006). How important are financing constraints?: the role of finance in the business environment (Vol. 3820). Washington DC: World Bank.
  • Beck, T. (2007). Financing constraints of SMEs in developing countries: Evidence, determinants and solutions. Washington DC: The World Bank.
  • Chavis, L., Klapper, L., ve Love, I. (2010). International differences in entrepreneurial finance. Age, 1(2).
  • Erdoğan, A. I. (2015). Which SMES perceive access to finance as an obstacle to their operations? Evidence from Turkey. Economic and Social Development: Book of Proceedings, 551.
  • Felsenstein, D. ve Schwartz, D. (1993). Constraints to small business development across the life cycle: some evidence from peripheral areas in Israel. Entrepreneurship & Regional Development, 5(3), 227-246.
  • Gill, A. ve Biger, N. (2012). Barriers to small business growth in Canada. Journal of Small Business and Enterprise Development, 19(4), 656-668.
  • Hosny, A. (2017). Political stability, firm characteristics and performance: Evidence from 6,083 private firms in the Middle East. Review of Middle East Economics and Finance, 13(1), 20170005.
  • Jabeen, Z., Ali, J., ve Yusuf, N. (2021). Difference in business obstacles faced by firms across sizes: evidence from enterprise survey data of India. Journal of Global Entrepreneurship Research, 11(1), 71-81.
  • Karacaovalı, B. (2017). Access to Finance in Turkey. Turkish Economic Review, 4(1), 1-18.
  • Kiracı, M. ve Beşer, M. K. (2009). İşletmelerde Nakit Dönüşüm Süresinin Karlılığa Etkisinin Panel Veri Analiziyle Sektörel Boyutta İncelenmesi: İMKB’de Bir Araştırma. Öneri Dergisi, 8(32), 261-270.
  • Krasniqi, B. A. (2007). Barriers to entrepreneurship and SME growth in transition: the case of Kosova. Journal of Developmental Entrepreneurship, 12(01), 71-94.
  • Lee, N. (2014). What holds back high-growth firms? Evidence from UK SMEs. Small Business Economics, 43, 183-195.
  • Lundberg, S.M., Lee, S.I., 2017. A unified approach to interpreting model predictions. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA, pp. 4768-4777.
  • Mohammed, I., ve Bunyaminu, A. (2021). Major obstacles facing business enterprises in an emerging economy: the case of Ghana using the World Bank Enterprise Survey. Journal of Small Business and Enterprise Development, 28(3), 475-487.
  • Ogundana, O. (2022). Obstacles facing women-owned enterprises: A case for Sub-Sahara African women. World review of entrepreneurship, management and sustainable development, 18(5-6), 529-544.
  • Okpara, J. O. ve Wynn, P. (2007). Determinants of small business growth constraints in a sub-Saharan African economy. SAM advanced management journal, 72(2), 24.
  • Pissarides, F., Singer, M., ve Svejnar, J. (2003). Objectives and constraints of entrepreneurs: evidence from small and medium size enterprises in Russia and Bulgaria. Journal of comparative economics, 31(3), 503-531.
  • Pissarides, F. (1999). Is lack of funds the main obstacle to growth? EBRD's experience with small-and medium-sized businesses in Central and Eastern Europe. Journal of Business Venturing, 14(5-6), 519-539.
  • Rehman, N. U., Çela, A., Morina, F., ve Gura, K. S. (2019). Barriers to growth of SMEs in Western Balkan countries. Journal of Management Development, 38(1), 2-24.
  • Robson, P. J., ve Obeng, B. A. (2008). The barriers to growth in Ghana. Small Business Economics, 30, 385-403.
  • Trifonova, O. P., Lokhov, P. G., ve Archakov, A. I. (2013). Metabolic profiling of human blood. Biochemistry (Moscow) Supplement Series B: Biomedical Chemistry, 7, 179-186.
  • Wang, Y. (2016). What are the biggest obstacles to growth of SMEs in developing countries?–An empirical evidence from an enterprise survey. Borsa Istanbul Review, 16(3), 167-176.
Toplam 26 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Finans
Bölüm Araştırma Makalesi
Yazarlar

İbrahim Bozkurt 0000-0003-4921-8767

Fatma Çetinkaya Bu kişi benim 0009-0009-2620-8065

Proje Numarası Tübitak 2209A
Erken Görünüm Tarihi 27 Haziran 2024
Yayımlanma Tarihi 30 Haziran 2024
Gönderilme Tarihi 28 Kasım 2023
Kabul Tarihi 24 Mayıs 2024
Yayımlandığı Sayı Yıl 2024

Kaynak Göster

APA Bozkurt, İ., & Çetinkaya, F. (2024). Türkiye’de İşletme Faaliyetlerine Engel Teşkil Eden Faktörlerin Random Forest Algoritması ile İrdelenmesi. Çankırı Karatekin Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 14(2), 515-534. https://doi.org/10.18074/ckuiibfd.1397322
AMA Bozkurt İ, Çetinkaya F. Türkiye’de İşletme Faaliyetlerine Engel Teşkil Eden Faktörlerin Random Forest Algoritması ile İrdelenmesi. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. Haziran 2024;14(2):515-534. doi:10.18074/ckuiibfd.1397322
Chicago Bozkurt, İbrahim, ve Fatma Çetinkaya. “Türkiye’de İşletme Faaliyetlerine Engel Teşkil Eden Faktörlerin Random Forest Algoritması Ile İrdelenmesi”. Çankırı Karatekin Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi 14, sy. 2 (Haziran 2024): 515-34. https://doi.org/10.18074/ckuiibfd.1397322.
EndNote Bozkurt İ, Çetinkaya F (01 Haziran 2024) Türkiye’de İşletme Faaliyetlerine Engel Teşkil Eden Faktörlerin Random Forest Algoritması ile İrdelenmesi. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 14 2 515–534.
IEEE İ. Bozkurt ve F. Çetinkaya, “Türkiye’de İşletme Faaliyetlerine Engel Teşkil Eden Faktörlerin Random Forest Algoritması ile İrdelenmesi”, Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, c. 14, sy. 2, ss. 515–534, 2024, doi: 10.18074/ckuiibfd.1397322.
ISNAD Bozkurt, İbrahim - Çetinkaya, Fatma. “Türkiye’de İşletme Faaliyetlerine Engel Teşkil Eden Faktörlerin Random Forest Algoritması Ile İrdelenmesi”. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 14/2 (Haziran 2024), 515-534. https://doi.org/10.18074/ckuiibfd.1397322.
JAMA Bozkurt İ, Çetinkaya F. Türkiye’de İşletme Faaliyetlerine Engel Teşkil Eden Faktörlerin Random Forest Algoritması ile İrdelenmesi. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2024;14:515–534.
MLA Bozkurt, İbrahim ve Fatma Çetinkaya. “Türkiye’de İşletme Faaliyetlerine Engel Teşkil Eden Faktörlerin Random Forest Algoritması Ile İrdelenmesi”. Çankırı Karatekin Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, c. 14, sy. 2, 2024, ss. 515-34, doi:10.18074/ckuiibfd.1397322.
Vancouver Bozkurt İ, Çetinkaya F. Türkiye’de İşletme Faaliyetlerine Engel Teşkil Eden Faktörlerin Random Forest Algoritması ile İrdelenmesi. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2024;14(2):515-34.