Comparative impact of logistics performance index, ease of doing business and logistics cost on economic development: a fuzzy QCA analysis

    Mohan Saini   Affiliation
    ; Denisa Hrušecká   Affiliation


This research papers aims to evaluate the impact of two major institutional indexes logistics performance index (LPI) and ease of doing business (EODB) along with logistics cost (LC) on the economic development (Gross domestic product – GDP per capita). The variables selected for the research study provides the comprehensive impact and forms the core of the economy for any country. Top seven economies of the world (China, France, Germany, India, Japan, United Kingdom and USA) along with Czech Republic, Singapore and Slovenia have been selected for this analysis. Mid-sized Economies of Czech Republic, Singapore, Slovenia have been selected for the regional balance of Asia and Europe and for cooperative results. A preliminary analysis of Pearson correlation analysis and detailed fuzzy qualitative comparative analysis have been opted for the study. The results illustrate that LPI is the core component for displaying the positive results on economic development. LC and EODB have displayed mixed results and will be studied in future research for identifying their impact on economic development. Future research will incorporate indexes such as global competitive index, innovation index for the evaluation of the combined impact on economic development.

Keyword : economic development, GDP, LPI, ease of doing business, logistics cost, fuzzy QCA

How to Cite
Saini, M., & Hrušecká, D. (2021). Comparative impact of logistics performance index, ease of doing business and logistics cost on economic development: a fuzzy QCA analysis. Journal of Business Economics and Management, 22(6), 1577-1592.
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Nov 15, 2021
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Abor, J., & Quartey, P. (2010). Issues in SME development in Ghana and South Africa. International Research Journal of Finance and Economics, 39, 218–228.

Adhikary, B. K. (2011). FDI, trade openness, capital formation, and economic growth in Bangladesh: A linkage analysis. International Journal of Business and Management, 6(1), 16–28.

Aldakhil, A. M., Nassani, A. A., Awan, U., Abro, M. M. Q., & Zaman, K. (2018). Determinants of green logistics in BRICS countries: an integrated supply chain model for green business. Journal of Cleaner Production, 195, 861–868.

Ani, T. G. (2015). Effect of ease of doing business to economic growth among selected countries in Asia. Asia Pacific Journal of Multidisciplinary Research, 3(5), 139–145.

Arvis, J., Wiederer, C., Shepherd, B., Raj, A., Dairabayeva, K., & Kiiski, T. (2018). Connecting to compete 2018: Trade logistics in the global economy. The International Bank for Reconstruction and Development/The World Bank.

Besley, T. (2015). Law, regulation, and the business climate: The nature and influence of the World Bank Doing Business project. Journal of Economic Perspectives, 29(3), 99–120.

Bhavan, T., Xu, C., & Zhong, C. (2011). Determinants and growth effect of FDI in south Asian economies: Evidence from a panel data analysis. International Business Research, 10(1), 23–30.

Can, B. E., Dinç, D. T., & Gökmen, A. (2021). The issue of logistics and its correlation to economic growth in Turkey: An empirical application. International Journal of Applied Logistics (IJAL), 11(1), 66–80.

Civelek, M. E., Uca, N., & Çemberci, M. (2015). The mediator effect of logistics performance index on the relation between global competitiveness index and gross domestic product. European Scientific Journal, 11(13), 368–375.

Corcoran, A., & Gillanders, R. (2015). Foreign direct investment and the ease of doing business. Review of World Economics, 151(1), 103–126.

Dang, V. L., & Yeo, G. T. (2018). Weighing the key factors to improve Vietnam’s logistics system. The Asian Journal of Shipping and Logistics, 34(4), 308–316.

Devlin, J., & Yee, P. (2005). Trade logistics in developing countries: The case of the Middle East and North Africa. The World Economy, 28, 435–456.

Ekici, Ş. Ö., Kabak, Ö., & Ülengin, F. (2016). Linking to compete: Logistics and global competitiveness interaction. Transport Policy, 48, 117–128.

Elliot, T. (2013). Fuzzy Set qualitative comparative analysis. Research Notes: Statistics Group, UCI.

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.

Faria, R. N. D., Souza, C. S. D., & Vieira, J. G. V. (2015). Evaluation of logistic performance indexes of brazil in the international trade. RAM. Revista de Administração Mackenzie, 16(1), 213–235.

Fernández-Serrano, J., & Romero, I. (2014). About the interactive influence of culture and regulatory barriers on entrepreneurial activity. International Entrepreneurship and Management Journal, 10(4), 781–802.

Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393–420.

Forkmann, S., Henneberg, S. C., Witell, L., & Kindström, D. (2017). Driver configurations for successful service infusion. Journal of Service Research, 20(3), 275–291.

Ghosh, N., Saha, R., & Bhowmick, S. (2019). SDG index and ease of doing business in India: A sub-national study.

Kalyvas, A. N., & Mamatzakis, E. (2014). Does business regulation matter for banks in the European Union? Journal of International Financial Markets, Institutions and Money, 32(1), 278–324.

Khan, S. A. R., & Qianli, D. (2017). Does national scale economic and environmental indicators spur logistics performance? Evidence from UK. Environmental Science and Pollution Research, 24(34), 26692–26705.

Kourouthanassis, P. E., Mikalef, P., Pappas, I. O., & Kostagiolas, P. (2017). Explaining travellers online information satisfaction: A complexity theory approach on information needs, barriers, sources and personal characteristics. Information & Management, 54(6), 814–824.

Kraus, S., Ribeiro-Soriano, D., & Schüssler, M. (2018). Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research–the rise of a method. International Entrepreneurship and Management Journal, 14(1), 15–33.

Lampropoulos, G., Siakas, K., & Anastasiadis, T. (2019). Internet of things in the context of industry 4.0: An overview. International Journal of Entrepreneurial Knowledge, 7(1), 4–19.

Liu, Y., Mezei, J., Kostakos, V., & Li, H. (2017). Applying configurational analysis to IS behavioural research: a methodological alternative for modelling combinatorial complexities. Information Systems Journal, 27(1), 59–89.

Mariano, E. B., Gobbo Jr., J. A., Camioto, F. D. C., & Rebelatto, D. A. D. N. (2017). CO2 emissions and logistics performance: a composite index proposal. Journal of Cleaner Production, 163, 166–178.

Martí, L., Puertas, R., & García, L. (2014). The importance of the Logistics Performance Index in international trade. Applied Economics, 46(24), 2982–2992.

Milenković, N., Kalaš, B., Mirović, V., & Andrašić, J. (2020). The impact of macroeconomic determinants and tax form on inflation in selected Balkan countries. Serbian Journal of Management, 15(1), 7–18.

Mladenović, S. S., Mladenović, I., & Ćuzović, D. (2019). Distributive trade and economic growth: EU28 evidence for the period 2008–2015. Journal of Business Economics and Management, 20(3), 489–506.

Morris, R., & Aziz, A. (2011). Ease of doing business and FDI inflow to Sub-Saharan Africa and Asian countries. Cross Cultural Management: An International Journal, 18(4), 400–411.

Naudé, W. (2010). Entrepreneurship, developing countries, and development economics: New approaches and insights. Small Business Economics, 34, 1–12.

Pinheiro-Alves, R., & Zambujal-Oliveira, J. (2012). The Ease of Doing Business Index as a tool for investment location decisions. Economics Letters, 117(1), 66–70.

Ragin, C. C. (2000). Fuzzy-set social science. University of Chicago Press.

Rantasila, K., & Ojala, L. (2015). National-level logistics costs: An overview of extant research. International Journal of Logistics Research and Applications, 18(4), 313–324.

Rogge, N., & Archer, G. (2021). Measuring and analyzing country change in establishing ease of doing business using a revised version of World Bank‘s Ease of Doing Business Index. European Journal of Operational Research, 290(1), 373–385.

Ruzekova, V., Kittova, Z., & Steinhauser, D. (2020). Export performance as a measurement of competitiveness. Journal of Competitiveness, 12(1), 145–160.

Schneider, M. R., Schulze-Bentrop, C., & Paunescu, M. (2010). Mapping the institutional capital of high-tech firms: A fuzzy-set analysis of capitalist variety and export performance. Journal of International Business Studies, 41(2), 246–266.

Skarmeas, D., Leonidou, C. N., & Saridakis, C. (2014). Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis. Journal of Business Research, 67(9), 1796–1805.

Solakivi, T., Ojala, L., Töyli, J., Hälinen, H.-M., Lorentz, H., Rantasila, K., & Naula, T. (2009). Finland State of Logistics 2009. Ministry of Transport and Communications Finland, Helsinki. Retrieved August 18, 2020, from

Sriyana, J., & Afandi, A. (2020). Asymmetric effects of trade openness on economic growth in selected ASEAN countries. E&M Economics and Management, 23(2), 66–82.

Su, S., & Ke, J. (2017). National logistics performance benchmarking: A process-based approach using World Bank Logistics Performance Index database. Journal of Supply Chain and Operations Management, 15(1), 55–78.

Tvaronavičienė, M., & Ginevičius, R. (2003) Analysis of foreign direct investments and its impact on restructuring of Lithuanian economy. Journal of Business Economics and Management, 4(3), 184–197.

Virglerová, Z., Conte, F., Amoah, J., & Massaro, M. R. (2020). The perception of legal risk and its impact on the business of SMEs. International Journal of Enterpreneurial Knowledge, 8(2), 1–13.

Wang, C., Kim, Y. S., & Kim, C. Y. (2021). Causality between logistics infrastructure and economic development in China. Transport Policy, 100, 49–58.

Woodside, A. G. (2013). Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory. Journal of Business Research, 66(4), 463–472.

World Bank. (2014). The LPI Methodology. Retrieved October 17, 2020, from

World Bank. (2018). Logistics performance Index. Retrieved February 9, 2021, from

World Bank. (2019). Doing Business Indicators. Retrieved September 15, 2020, from

World Bank. (2020). Doing Business 2020. Retrieved November 11, 2020, from