ÜLKELERİN LOJİSTİK ETKİNLİKLERİ ÜZERİNDE İNSANİ GELİŞMİŞLİĞİN ETKİSİ

Year 2022, Volume: 9 Issue: 2, 871 - 896, 29.07.2022

Emrah Akdamar

https://doi.org/10.30798/makuiibf.912836

Abstract

Bu çalışmanın iki temel amacı vardır. Çalışmanın ilk amacı ülkelerin lojistik verimliliklerini belirlemektir. Bu amaçla 160 ülkenin lojistik verimliliği, Lojistik Performans Endeksi'nin (LPE) altı alt göstergesi kullanılarak Veri Zarflama Analizi ile ölçülmüştür. Çalışmanın ikinci amacı, ülkelerin lojistik verimliliğinin insani gelişme sınıfları ve göstergelerinden nasıl etkilendiğini araştırmaktır. Bu amaçla Kruskal Wallis H testi ve Çoklu Doğrusal Regresyon analizi kullanılmıştır. Bulgular, Çok Yüksek İnsani Gelişme sınıfındaki ülkelerin diğer ülkelere göre daha yüksek verimlilik puanlarına sahip olduğunu göstermektedir. İnsani Gelişme düzeyi düşük olan Sahra Altı Afrika Ülkelerinin lojistik verimliliği düşük bulunmuştur. Ayrıca, İGE alt göstergeleri lojistik verimliliğini %67,8 oranında açıklamaktadır. Kişi başına düşen GSMH ve Beklenen Eğitim Süresi, lojistik verimlilik üzerinde önemli bir etkiye sahiptir. Bulgular, lojistikte anlamlı bir iyileşmenin sağlanmasının, Ar-Ge, inovasyon ve yüksek teknoloji yoluyla ekonomide bir sıçramayı yakalamaya ve uzun vadeli eğitim programlarını dikkate almaya bağlı olduğunu göstermektedir.

Keywords

Lojistik Performans Endeksi, İnsani Gelişmişlik Endeksi, Veri Zarflama Analizi

THE EFFECT OF HUMAN DEVELOPMENT ON THE LOGISTICS EFFICIENCY OF THE COUNTRIES

Abstract

This study has two main aims. The first aim of the study is to determine the logistics efficiency of the countries. For this purpose, the logistics efficiency of 160 countries was measured by Data Envelopment Analysis, using six sub-indicators of the Logistics Performance Index (LPI). The second aim of the study is to investigate how the logistics efficiency of countries is affected by human development classes and indicators. For this purpose, the Kruskal Wallis H test and Multiple Linear Regression analysis were used. The findings show that countries in the Very High Human Development class have higher efficiency scores than other countries. The logistics efficiency of Sub-Saharan African Countries, which have a low level of Human Development, was found to be low. In addition, HDI sub-indicators explain logistics efficiency by 67.8%. GNP per capita and Expected Years of Schooling have a significant impact on logistics efficiency. The findings show that achieving a meaningful improvement in logistics depends on catching a leap in the economy through R&D, innovation, and high technology and considering long-term education programs.

Keywords

Logistics Performance Index, Human Development Index, Data Envelopment Analysis

References

• Akdamar, E. (2018). Akıllı Kentlere İlişkin ISO 37120 Standardı Göstergelerinin Çok Değişkenli İstatistiksel Tekniklerle İrdelenmesi. Doktora Tezi. Bursa, Türkiye.
• Akdoğan, M. Ş., & Durak, A. (2017). Effect of Relationship Marketing Tendency of Logistics Companies on Logistic Performance and Marketing Performance. The Journal of International Social Research, 10(50), 621-633.
• Aksungur, M., & Bekmezci, M. (2020). Logistics Performance Evaluation of Turkey: A Dimensional Research. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi, 7(12), 21-40.
• Altintas, F. F. (2020). An Empirical Research on the Relationship Between Innovation and Logistics Dimensions. Business and Economics Research Journal, 11(4), 1049-1067.
• Arvis, J.-F., Ojala, L., Wiederer, C., Shepherd, B., Raj, A., Dairabayeva, K., & Kiiski, T. (2018). Connecting to Compete 2018 Trade Logistics in the Global Economy. Washington, DC : World Bank.
• Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management science, 30(9), 1078-1092.
• Banker, R. D., Cooper, W. W., Seiford, L. M., Thrall, R. M., & Zhu, J. (2004). Returns to scale in different DEA models. European Journal of Operational Research, 154, 345-362.
• Başar, S. İ., & Bozma, G. (2017). Determinants of Countries’ Logistic Performances. Kafkas University Journal of the Institute of Social Sciences(20), 447-458.
• Beysenbaev, R., & Dus, Y. (2020). Proposals for Improving the Logistics Performance Index. 36, 34-42.
• Blose, J. E., Tankersley, W. B., & Flynn, L. R. (2005). Managing Service Quality Using Data Envelopment Analysis. Quality Management Journal, 12(2), 7-22.
• Bozkurt, C., & Mermertaş, F. (2019). Comparison of Turkey and the G8 Countries According to the Logistics Performance Index. İşletme ve İktisat Çalışmaları Dergisi, 7(2), 107-117.
• Bozma, G., Başar, S. İ., & Aydın, S. (2017). IMPACTS OF LOGISTIC PERFORMANCE ON ECONOMIC GROWTH. The International New Issues in Social Sciences, 401-414.
• Buramoğlu, S. (2012). Relation Between National Innovation Indicators and National Logistics Performance: A Research on EU Countries. Ege Academic Review, 12(2), 193-208.
• Cansız, Ö. F., & Ünsalan, K. (2020). Prediction of Logistics Performance Index by Analysis of Effective Parameters on LPI Based on Countries, Which is Competition Criterion in Global Trade by Using Artificial Intelligence and Statistical Methods. Fırat Üniversitesi Müh. Bil. Dergisi, 32(2), 571-582.
• Cengiz, H., & Çetinceli, K. (2020). A Comparison of Turkey's and BRICS Countries’ Information and Communication Technology Development Indexes and Logistics Performance Indexes. Journal of Süleyman Demirel University Institute of Social Sciences(38), 165-185.
• Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2, 429-444.
• Charnes, A., Cooper, W. W., Lewin, A. Y., & Seiford, L. M. (1995). Data Envelopment Analysis, Theory,Methodology and Applications. Norwell: Kluwer Academic Publishers.
• Civelek, M. E., Uca, N., & Cemberci, M. (2015). The Mediator Effect of Logistics Performence Index on the Relation Between Global Competitiveness Index and Gross Domestic Product. European Scientific Journal, 11(13), 368-375.
• Cooper, W. W., Seiford, L. M., & Tone, K. (2000). Data Envelopment Analysis: A Comprehensive Text with Models, Application References and DEA-Solver Software. Kluwer Academic Publishers.
• Cooper, W., Li, S., Seiford, L. M., Tone, K., Thrall, R., & Zhu, J. (2001). Sensitivity and Stability Analysis in DEA: Some Recent Developments. Journal of Productivity Analysis, 15, 217-246.
• Cooper, W., Seiford, L., & J.Zhu. (2011). “Data Envelopment Analysis: History, Models, and Interpretations. International Series in Operations Research & Management Science, 164, 1-39.
• Cooper, W., Seiford, L., & Tone, K. (2006). Introduction To Data Envelopment Analysis And Its Uses –With DEA-Solver Software and References. Newyork: Springer Science&Business Media.
• Çemberci, M., Civelek, M. E., & Canbolat, N. (2015). The Moderator Effect of Global Competitiveness Index on Dimensions of Logistics Performance Index. Procedia - Social and Behavioral Sciences, 1514 – 1524 .
• De Souza, R., Goh, M., Gupta, S., & Lei, L. (2007). An investigation into the measures affecting the integration of ASEAN’s priority sectors: Phase 2: the case of logistics. Manila: Association of Southeast Asian Nations.
• Dinçer, F. C. (2021). A Leading Actor in The Logistics Performance Indexes Of 2007-2018: Evaluation of Logistics Potential And Strategies Of Germany. Third Sector Social Economic Review, 56(2), 1190-1209.
• Doncker, H. D. (2017). Economic importance of the logistics sector in Belgium. Brussels: National Bank of Belgium.
• Dyson, R., Allen, R., Camanho, A., Podinovski, V., Sarrico, C., & Shale, E. (2001). Pitfalls and Protocols in DEA. European Journal of Operational Research, 132(2), 245-259.
• Erkan, B. (2014). Logistics Sector and Competitiveness in Turkey. ASSAM International Refereed Journal(1), 44-65.
• Erkan, B. (2014). The Importance and Determinants of Logistics Performance of Selected Countries . Journal of Emerging Issues in Economics, Finance and Banking , 3(6), 1237-1254.
• Eygü, H., & Kılınç, A. (2020). Examination with the Ridge Regression Analysis of Logistics. Trakya University Journal of Social Science, 22(2), 899-919.
• Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 120(3), 253-290.
• Gergin, R. E., & Baki, B. (2015). Evaluation by Integrated AHP and TOPSIS Method of Logistics Performance in Turkey’s Regions. Business and Economics Research Journal, 6(4), 115-135.
• Golany, B., & Roll, Y. (1989). An Application Procedure For DEA. Omega, 17(3), 237-250.
• Green, K. W., Whitten, D., & Inman, R. A. (2008). The impact of logistics performance on organizational performance in a supply chain context. Supply Chain Management: An International Journal, 13(4), 317-327.
• Gunst, R. F., & Mason, R. L. (1980). Regression analysis and its applications. New York: Marcel Dekker.
• Haitovski, Y. (1969). A note on the maximization of R^2. Am. Statist., 23(1), 20-21.
• Hou, J., Walsh, P. P., & Zhang, J. (2015). The dynamics of Human Development Index. The Social Science Journal, 52(3), 331-347.
• https://lpi.worldbank.org/international/global. (2021, Şubat 4). https://lpi.worldbank.org/international/global. World Bank. adresinden alınmıştır
• Jhawar, A., Garg, S. K., & Khera, S. N. (2014). Analysis of the skilled work force effect on the logistics performance index—case study from India. Logist. Res. , 7(117), 1-10.
• Karagiannis, R., & Karagiannis, G. (2020). Constructing composite indicators with Shannon entropy: The case ofHuman Development Index. Socio-Economic Planning Sciences, 70.
• Kılınç, E., Fidan, O., & Mutlu, H. M. (2019). Comparison of Turkey, China and Russian Federation According to the Logistic Performance Index. International Journal of Economic Studies, 5(2), 18-33.
• Kirkman, S. P., Baliwe, N. G., Nhleko, J., & Pfaff, M. C. (2020). Ecosystem health and human wealth – A comparison of sub-Saharan African Large Marine Ecosystems. Environmental Development, 36, 100551.
• Le Caous, E., & Huarng, F. (2021). Economic Complexity and Human Development: Moderated by Logistics and International Migration. Sustainability, 13, 1867.
• Limaei, S. M. (2020). Efficiency analysis of forest management units considering economics and carbon dynamic: A data envelopment analysis (DEA) approach. Austrian Journal of Forest Science, 199-222.
• Liu, K., He, M., Zhuang, Z., He, D., & Li, H. (2020). Unexpected positive correlation between human development index and risk of infections and deaths of COVID-19 in Italy. One Health, 10.
• Long, X., Yu, H., Sun, M., Wang, X.-C., Klemes, J. J., Xie, W., . . . Wang, Y. (2020). Sustainability evaluation based on the Three-dimensional Ecological Footprint and Human Development Index: A case study on the four island regions in China. Journal of Environmental Management, 265.
• Lovell, C. K., Pastor, J. T., & Turner, J. A. (1995). Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries. European Journal of Operational Research, 87, 507-518.
• Lu, M., Xie, R., Chen, P., Zou, Y., & Tang, J. (2019). Green Transportation and Logistics Performance: An Improved Composite Index. Sustainability 2019, 11, 2976, 1-17.
• Mangaraj, B., & Aparajita, U. (2020). Constructing a generalized model of the human development index. Socio-Economic Planning Sciences, 70.
• Markovits-Somogyi, R., & Bokor, Z. (2014). Assessing the Logistics Efficiency of European Countries by Using the DEA-PC Methodology. Transport, 29(2), 137-145.
• Martí, L., Martín, J. C., & Puertas, R. (2017). A DEA-LOGISTICS PERFORMANCE INDEX. Journal of Applied Economics, XX(1), 169-192.
• Martí, L., Puertas, R., & García, L. (2014). The importance of the Logistics Performance Index in international trade. Applied Economics, 46(24), 2982–2992.
• Martinez, E. Z., & da Roza, M. D. (2020). Ecological analysis of adolescent birth rates in Brazil: Association withHuman Development Index. Women and Birth, 33, 191-198.
• Mauleón, I. (2020). Economic Issues in Deep Low-Carbon Energy Systems. Energies, 13, 4151.
• McGowan, I. S. (2021). Education, Globalization, Cultural Diversity and a Revised Human Development Index for the Caribbean Region: Findings & Policy Implications. 3rd International Conference on Future of Social Sciences. Berlin.
• Mohmmed, A., Li, Z., Arowolo, A. O., Su, H., Deng, X., Najmuddin, O., & Zhang, Y. (2019). Driving factors of CO2 emissions and nexus with economic growth, development and human health in the Top Ten emitting countries. Resources, Conservation & Recycling, 148, 157-169.
• Montgomery, D. C., Peck, E., & Vining, G. G. (2001). Introduction to Linear Regression Analysis, 3rd Edition. New York: John Wiley & Sons.
• Murat, D. (2020). The Measurement of Innovation Performance in OECD Countries. Journal of Management and Economics Research, 18(4), 209-226.
• Noorbakhsh, F. (1998). A Modified Human Development Index. World Development, 26(3), 517-528.
• Novak, A., Čepar, Ž., & Trunk, A. (2016). The role of expected years of schooling among life expectancy determinants. Int. J. Innovation and Learning, 20(1), 85-99.
• Novitasari, F., Drestalita, N., & Maryati, S. (2020). The impacts of infrastructure development on economic growth (case study: DKI Jakarta, Banten Province and West Java Province). IOP Conference Series: Earth and Environmental Science, 592, 1-10.
• Ofluoğlu, N. Ö., Kalaycı, C., Artan, S., & Bal, H. Ç. (2018). The Effects of Developments in Logistic Performance on International Trade: The Case of EU and MENA Countries. Gümüşhane University Electronic Journal of The Institute of Social Sciences, 9(24), 93-109.
• Oğuz, S., Alkan, G., & Yılmaz, B. (2019). Evaluation of Logistics Performance of Selected Asian Countries’ by TOPSIS Method. IBAD Journal of Social Sciences(Özel Sayı), 497-507.
• Okursoy, A., & Tezsürücü, D. (2014). Veri Zarflama Analizi ile Göreli Etkinliklerin Karşılaştırılması: Türkiye’deki İllerin Kültürel Göstergelerine İlişkin Bir Uygulama. Yönetim ve Ekonomi, 21(2), 1-18.
• Omrani, H., Alizadeh, A., & Amini, M. (2020). A new approach based on BWM and MULTIMOORA methods for calculating semi-human development index: An application for provinces of Iran. Socio-Economic Planning Sciences, 70.
• Petrovi, M., Jeremi, V., & Bojkovi, N. (2017). Exploring Logistics Performance Index Using I- Distance Statistical Approach. 3rd International Logistics Conference (s. 160-165). Belgrad: LOGIC.
• Prologis. (2016). Themes shaping new location selection in Europe. Amsterdam: Prologis Research.
• Rashidi, K., & Cullinane, K. (2019). Evaluating the sustainability of national logistics performance using Data Envelopment Analysis. Transport Policy, 74, 35-46.
• Ravallion, M. (2012). Troubling tradeoffs in the Human Development Index. Journal of Development Economics, 99(2), 201-209.
• Rezaei, J., Roekel, W. S., & Tavasszy, L. (2018). Measuring the relative importance of the logistics performance index indicators using Best Worst Method . Transport Policy , 68, 158-169.
• Riahi, M., Mohammadi, A. A., Moghadam, V. K., Robati, Z. S., & Bidkhori, M. (2018). Diarrhea deaths in children among countrieswith different levels of the human developmentindex. Data in Brief, 17, 954-960.
• Rodrigue, J. P. (2020). The Geography Of Transport Systems (Fifth Edition b.). New York: Routledge.
• Sagar, A. D., & Najam, A. (1998). The human development index: a critical review. Ecological Economics, 25, 249-264.
• Sarkodie, S. A., & Adams, S. (2020). Electricity access ,human development index, governance and income inequality in Sub-Saharan Africa. Energy Reports, 6, 455-466.
• Sezer, F. (2017). Analyisis of Efficiency in the Manufacture of Furniture with Undesirable Outputs. Int. Journal of Management Economics and Business, 13(4), 737-749.
• Sternad, M., Skrucany, T., & Jereb, B. (2018). International Logistics Performance Based on the Data Analysis. Communications, 20, 10-15.
• Sudirman, & Hapsara, O. (2021). Analysis of the Human Development Index in Jambi City. Advances in Economics, Business and Management Research, 168, 264-268.
• Sumargo, B., Nuriza, F., Mulyono, & Rohimah, S. (2021). The Two-Stage Least Squares Simultaneous Equation Model for Panel Data on Human Development, Economics, and Environmental Quality. AIP Conference Proceedings, 2331, 020027.
• Talluri, S. (2000). Data Envelopment Analysis: Models and Extensions. Decision Line, 31(3), 8-11.
• Uca, N., Civelek, M. E., & Çemberci, M. (2015). The Effect of the Compenents of Logistics Performance Index on Gross Domestic Product Conceptual Model Proposal. Euroasian Business&Economics Journal, 1, 86-93.
• Uca, N., Civelek, M. E., & Çemberci, M. (2019). Mediator Role of Logistics Performance and Global Competition in Relationship between Corruption Perception and Gross Domestic Product: Evaluation of Turkey. International Journal of Society Researches, 10(17), 1231-1261.
• Ulutaş, A., & Karaköy, Ç. (2019). An Analysis of the Logistics Performance Index of EU Countries with an Integrated MCDM Model. Economics and Business Review, 5(19), 46-69.
• Ulutaş, A., & Karaköy, Ç. (2019). The Measurement of Logistics Performance Index of G-20 Countries with Multi-Criteria Decision Making Model. S.C.Ü. İktisadi ve İdari Bilimler Dergisi, 20(2), 1-14.
• UNDP. (2020). HDR Technical Notes. http://hdr.undp.org/sites/default/files/hdr2020_technical_notes.pdf adresinden alınmıştır
• UNDP. (2021a). Human Development Index (HDI). United Nations Development Programme Human Development Reports: http://hdr.undp.org/en/content/human-development-index-hdi adresinden alınmıştır
• UNDP. (2021b). United Nations Development Programme Human Development Reports. Human Development Index (HDI): http://hdr.undp.org/en/content/download-data adresinden alınmıştır
• UNODC. (2020). World Drug Report. Vienna: United Nations.
• Wong, W. P., & Tang, C. F. (2018). The major determinants of logistic performance in a global perspective: evidence from panel data analysis. International Journal of Logistics Research and Applications, 21(4), 431–443.
• World Bank. (2021). World Bank. https://lpi.worldbank.org/international/global adresinden alınmıştır
• Yakunina, R., & Bychkov, G. (2015). Correlation Analysis of the Components of the Human Development Index Across Countries. Procedia Economics and Finance, 24, 766-771.
• Yangınlar, G. (2019). THE COMPARISON LOGISTICS PERFORMANCE AND GDP BETWEEN G7 COUNTRIES. V. European Congress on Economic Issues, (s. 68-80). Bakü.
• Yapraklı, T. Ş., & Ünalan, M. (2017). THE GLOBAL LOGISTICS PERFORMANCE INDEX AND ANALYSIS OF THE LAST TEN YEARS LOGISTICS PERFORMANCE OF TURKEY. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 31(3), 589-606.
• Yıldız, A., Aydoğan, K., & Kartum, G. (2020). An Investigation of Turkey’s Position in International Logistics Performance Index By Cluster Analysis. Turkish Studies - Social Sciences, 15(3), 1659-1679.
• Yu, M.-M., & Hsiao, B. (2016). Measuring the technology gap and logistics performance of individual countries by using a meta-DEA–AR model. Maritime Policy & Management, 43(1), 98-120.
• Yue, S., Shen, Y., & Yuan, J. (2019). Sustainable total factor productivity growth for 55 states: An application of the new malmquist index considering ecological footprint and human development index. Resources,Conservation & Recycling, 146, 475-483.