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Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi ve İnsani Gelişim İndeksi’nin Mekânsal Analizi

Year 2024, Volume: 32 Issue: 61, 213 - 241, 30.07.2024
https://doi.org/10.17233/sosyoekonomi.2024.03.11

Abstract

Bu çalışmanın amacı 163 ülkenin ekonomik risk (ER), ekonomik özgürlük indeksi (EÖİ), yolsuzluk algısı indeksi (YAİ) ve insani gelişim indeksi (İGİ) açısından mekânsal (komşuluk) ilişkilerini incelemektir. Mekânsal analiz için Moran I, Coğrafi Ağırlıklı Regresyon (GWR) ve Çok Ölçekli Coğrafi Ağırlıklı Regresyon (MGWR) yöntemleri kullanılmıştır. MGWR modelleri, dünya genelinde ülkelerin komşu ülkeleriyle ER, EÖİ ve YAİ açısından güçlü mekânsal ilişkilere sahip olduğunu fakat İGİ açısından anlamlı olmadığını göstermiştir. Bu sonuç ER, EÖİ ve YAİ göstergelerinin daha çok ülke ekonomisiyle ilgili olması ve günümüzde ülkelerin ekonomik yönden birbirine bağımlı hale gelmesiyle açıklanabilir. İGİ ise insan yaşam kalitesine odaklanması ve ülkeler arasındaki sosyal-kültürel farklılıkların varlığı anlamlı mekânsal ilişkilerin olmamasına sebep olabilir.

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Spatial Analysis of Economic Risk, Economic Freedom Index, Corruption Perceptions Index and Human Development Index

Year 2024, Volume: 32 Issue: 61, 213 - 241, 30.07.2024
https://doi.org/10.17233/sosyoekonomi.2024.03.11

Abstract

This study aims to examine the spatial (neighbourhood) relations of 163 countries in terms of economic risk (ER), economic freedom index (EFI), corruption perception index (CPI) and human development index (HDI). Moran I, Geographically Weighted Regression (GWR) and Multiscale Geographically Weighted Regression (MGWR) methods were used for spatial analysis. The MGWR models demonstrated that countries globally have strong spatial relationships with their neighbouring countries regarding ER, EFI, and CPI but are not significant regarding HDI. This result can be explained by the fact that ER, EFI and CPI indicators are mostly related to the country's economy and that countries have become economically interdependent today. However, HDI may not have resulted in significant spatial relationships due to its focus on human quality of life and social-cultural differences among countries.

References

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  • Brkić, I. et al. (2020), “The Impact of Economic Freedom on Economic Growth? New European Dynamic Panel Evidence”, Journal of Risk and Financial Management, 13(2), 26.
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  • Chih, Y-Y. et al. (2023), “A Spatial Analysis of Local Corruption on Foreign Direct Investment: Evidence from Chinese Cities”, European Journal of Political Economy, 79, 102443.
  • Ciftci, C. & D. Durusu-Ciftci (2022), “Economic Freedom, Foreign Direct Investment, and Economic Growth: The Role of Sub-Components of Freedom”, The Journal of International Trade & Economic Development, 31(2), 233-254.
  • Cima, E.G. et al. (2021), “A Spatial Analysis of Western Paraná: Scenarios for Regional Development”, Revista Brasileira de Gestão e Desenvolvimento Regional, 17(2), 151-164.
  • Darsyah, M.Y. et al. (2018), “Spatial Modeling for Human Development Index in Central Java”, South East Asia Journal of Contemporary Business, Economics and Law, 16(5), 36-41.
  • Debarsy, N. et al. (2018), “Measuring Sovereign Risk Spillovers and Assessing the Role of Transmission Channels: A Spatial Econometrics Approach”, Journal of Economic Dynamics and Control, 87(C), 21-45.
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  • Djokoto, J. G. (2022), “The Investment Development Path and Human Development: Is There A Nexus?”, Research in Globalization, 4, 100079.
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  • Fischer, M. & A. Getis (2010), Handbook of Applied Spatial Analysis, Berlin/Heidelberg: Springer- Verlag.
  • Fotheringham, A.S. et al. (2002), Geographically Weighted Regression, England: John Wiley & Sons Ltd.
  • Fotheringham, A.S. et al. (2017), “Multi-scale Geographically Weighted Regression (MGWR)”, Annals of the American Association of Geographers, 107(6), 1247-1265.
  • Fotheringham, A.S. et al. (2019), “Examining the Influences of Air Quality in China's Cities Using Multi-Scale Geographically Weighted Regression”, Transactions in GIS, 23(6), 1444-1464.
  • Garcia-Portilla, J. (2021), “Diagnosing Corruption and Prosperity in Europe and the Americas (A)”, in: Ye Shall Know Them by Their Fruits (29-32), Contributions to Economics. Springer, Cham.
  • Geary, R.C. (1954), “The Contiguity Ratio and Statistical Mapping”, The Incorporated Statistician, 5(3), 115-146.
  • Goel, R.K. & J.W. Saunoris (2022), “Corrupt Thy Neighbor? New Evidence of Corruption Contagion From Bordering Nations”, Journal of Policy Modeling, 44(3), 635-652.
  • Gouvea, R. et al. (2022), “Does Transitioning To A Digital Economy Imply Lower Levels of Corruption?”, Thunderbird International Business Review, 64( 3), 221-233.
  • Griffith, D.A. (2008), “Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)”, Environment and Planning A: Economy and Space, 40(11), 2751-2769.
  • Hassan, T. et al. (2022), “International Trade and Consumption-Based Carbon Emissions: Evaluating The Role of Composite Risk For RCEP Economies”, Environmental Science and Pollution Research, 29, 3417-3437.
  • Isiksal, A.Z. & A.F. Assi (2022), “Determinants of Sustainable Energy Demand in The European Economic Area: Evidence From The PMG-ARDL Model”, Social Change, 183, 121901.
  • Kaewnern, H. et al. (2023), “Investigating The Role of Research Development and Renewable Energy on Human Development: An Insight from The Top Ten Human Development Index Countries”, Energy, 262(B), 125540.
  • Kalesnikaite, V. et al. (2022), “Parsing The Impact of E-Government on Bureaucratic Corruption”, Governance, 36(3), 827-842.
  • Karabchuk, T. et al. (2022), “Life Satisfaction and Desire to Emigrate: What Does The Cross-National Analysis Show?”, International Migration, 61(3), 349-372.
  • Lee, C.-C. et al. (2022), “Financial Aid and Financial Inclusion: Does Risk Uncertainty Matter?”, Pacific-Basin Finance Journal, 71(42), 101700.
  • LeSage, J. & R.K. Pace (2009), Introduction to Spatial Econometrics, Boca Raton, FL: Chapman & Hall/CRC Taylor & Francis Group.
  • Li, Z., et al. (2020), “Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights”, Annals of the American Association of Geographers, 110(5), 1500-1520.
  • Lian, X. et al. (2023), “Analysis of Spatial Differences in Global Regional Human Development Index Under Planetary Pressure and Decomposition Study of Driving Factors”, Journal of Environmental Management, 348, 119292.
  • Liu, P. & W.-Q. Huang (2023), “Spatial Analysis of Sovereign Risk From the Perspective of EPU Spillovers”, International Review of Economics & Finance, 89, 427-443.
  • Mahmood, M.T. et al. (2022), “The Relevance of Economic Freedom For Energy, Environment, And Economic Growth in Asia-Pacific Region”, Environmental Science and Pollution Research, 29, 5396-5405.
  • Mallek, R.S. et al. (2022), “Herding Behaviour Heterogeneity Under Economic and Political Risks: Evidence From GCC”, Economic Analysis and Policy, 75, 345-361.
  • Marti, L. et al. (2022), “Analysis of The Nexus Between Country Risk, Environmental Policies, and Human Development”, Energy Research & Social Science, 92, 102767.
  • Masduki, U. et al. (2022), “How can Quality Regional Spending Reduce Poverty and Improve Human Development Index?”, Journal of Asian Economics, 82, 101515.
  • Mendoza-Macías, M.M. (2019), “Higher Education, Social Welfare, and Corruption: Some Challenges for Universities in Guayaquil, Ecuador”, in: S. Nair & J. Saiz-Álvarez (eds.), Handbook of Research on Ethics, Entrepreneurship, and Governance in Higher Education (54-78), IGI Global.
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There are 88 citations in total.

Details

Primary Language Turkish
Subjects Economics
Journal Section Articles
Authors

Yusuf Kalkan 0000-0003-4246-8624

Early Pub Date July 21, 2024
Publication Date July 30, 2024
Submission Date February 15, 2023
Published in Issue Year 2024 Volume: 32 Issue: 61

Cite

APA Kalkan, Y. (2024). Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi ve İnsani Gelişim İndeksi’nin Mekânsal Analizi. Sosyoekonomi, 32(61), 213-241. https://doi.org/10.17233/sosyoekonomi.2024.03.11
AMA Kalkan Y. Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi ve İnsani Gelişim İndeksi’nin Mekânsal Analizi. Sosyoekonomi. July 2024;32(61):213-241. doi:10.17233/sosyoekonomi.2024.03.11
Chicago Kalkan, Yusuf. “Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi Ve İnsani Gelişim İndeksi’nin Mekânsal Analizi”. Sosyoekonomi 32, no. 61 (July 2024): 213-41. https://doi.org/10.17233/sosyoekonomi.2024.03.11.
EndNote Kalkan Y (July 1, 2024) Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi ve İnsani Gelişim İndeksi’nin Mekânsal Analizi. Sosyoekonomi 32 61 213–241.
IEEE Y. Kalkan, “Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi ve İnsani Gelişim İndeksi’nin Mekânsal Analizi”, Sosyoekonomi, vol. 32, no. 61, pp. 213–241, 2024, doi: 10.17233/sosyoekonomi.2024.03.11.
ISNAD Kalkan, Yusuf. “Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi Ve İnsani Gelişim İndeksi’nin Mekânsal Analizi”. Sosyoekonomi 32/61 (July 2024), 213-241. https://doi.org/10.17233/sosyoekonomi.2024.03.11.
JAMA Kalkan Y. Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi ve İnsani Gelişim İndeksi’nin Mekânsal Analizi. Sosyoekonomi. 2024;32:213–241.
MLA Kalkan, Yusuf. “Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi Ve İnsani Gelişim İndeksi’nin Mekânsal Analizi”. Sosyoekonomi, vol. 32, no. 61, 2024, pp. 213-41, doi:10.17233/sosyoekonomi.2024.03.11.
Vancouver Kalkan Y. Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi ve İnsani Gelişim İndeksi’nin Mekânsal Analizi. Sosyoekonomi. 2024;32(61):213-41.