Abstract
The World Bank's Ease of Doing Business Index (EDBI) has been widely used in analyzes of attracting investments and formulating public policies. Despite its importance in signaling the quality of the countries' business environment, research shows that EDBI does not always offer reliable analyzes. The literature shows that the use of EDBI is associated with several problems, among which is the comparison of different countries, the utilization of variables that do not represent all companies and cities in the country, the disregard of the influence or weight of each variable in the composition of the index and the compensatory aggregation of variables. The present work results reflect the extent to which each of the problems associated with EDBI impairs its ability to signal the quality of the countries' business environment. These results show that eliminating the problems related to EDBI can increase the index's capacity to capture unemployment indicators, gross domestic product per capita, foreign direct investment, government effectiveness, and corruption levels. This research contributes to a more reliable indication of the quality of the business countries' environment by subsidizing decisions such as private investments and company internationalization and government strategies such as assessing and proposing laws to reduce efforts to do business.
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Alencar, B., Barroso, L.C., Abreu, J.F.: Análise multivariada de dados no tratamento da informação espacial: uma abordagem com análise de agrupamentos. Sistemas, Cibernética e Informática 10(2), 1–7 (2013)
Allen, D.W.: Transaction costs. In: Bouckaert, B.D., Geest, G. (eds.) Encyclopedia of law and economics, pp. 893–926. Edward Elgar Publishing, Cheltenham (1999)
Allen, M.M., Aldred, M.L.: Business regulation, inward foreign direct investment, and economic growth in the new European union member states. Crit. Perspect. Int. Bus. 9(3), 301–321 (2013)
Asongu, S., Odhiambo, N.: Doing business and inclusive human development in Sub-Saharan Africa. Afr. J. Econ. Manag. Stud. 10(1), 2–16 (2018)
Attardi, R., Cerreta, M., Sannicandro, V., Torre, C.M.: Non-compensatory composite indicators for the evaluation of urban planning policy: the land-use policy efficiency index (LUPEI). Eur. J. Oper. Res. 264(2), 491–507 (2018)
Becker, W., Paruolo, P., Saisana, M., Saltelli, A.: Weights and importance in composite indicators: mind the gap. In: Ghanem, R., Higdon, D., Owhadi, H. (eds.) Handbook of Uncertainty Quantification. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-12385-1_40
Belgibayeva, A., Plekhanov, A.: Does corruption matter for sources of foreign direct investment? Rev. World Econ. 155(3), 487–510 (2019)
Brans, J.P., Vincke, Ph.: Note—a preference ranking organisation method. Manag. Sci. 31(6), 647–656 (1985). https://doi.org/10.1287/mnsc.31.6.647
Brans, J.P., Vincke, P., Mareschal, B.: How to select and how to rank projects: The PROMETHEE method. Eur. J. Oper. Res. 24(2), 228–238 (1986)
Breen, M., Gillanders, R.: Corruption, institutions and regulation. Economics of Governance 13(3), 263–285 (2012)
Busse, M., Groizard, J.L.: Foreign direct investment, regulations, and growth. The World Bank. 31(7), 861–886 (2008)
Coase, R.H.: The nature of the firm. Economica 4(16), 386–405 (1937). https://doi.org/10.1111/j.1468-0335.1937.tb00002.x
Coeurderoy, R., Verbeke, A.: The unbalanced geography of the world’s largest MNEs: institutional quality and head office distribution across countries. Glob. Strateg. J. 6(2), 127–148 (2016)
Cook, R.D.: Detection of influential observation in linear regression. Technometrics 19(1), 15–18 (1977)
Corcoran, A., Gillanders, R.: Foreign direct investment and the ease of doing business. Rev. World Econ. 151(1), 103–126 (2015)
Costa, C.A.B., Vansnick, J.C.: MACBETH—an interactive path towards the construction of cardinal value functions. Int. Trans. Oper. Res. 1(4), 489–500 (1994)
Cronbach, L.J.: Coefficient alpha and the internal structure of tests. Psychometrika 16, 297–334 (1951)
Cruz, N.F., Marques, R.C.: Structuring composite local governance indicators. Policy Stud. 38(2), 109–129 (2017)
Ding, Y., Fu, Y., Lai, K.K., Leung, W.J.: Using ranked weights and acceptability analysis to construct composite indicators: a case study of regional sustainable society index. Soc. Indic. Res. 139(3), 871–885 (2018)
Djankov, S., La Porta, R., Lopez-de-Silanes, F., Shleifer, A.: The regulation of entry. Q. J. Econ. 117(1), 1–37 (2002)
Djankov, S., McLiesh, C., Ramalho, R.M.: Regulat. Growth. Econ. Lett. 92(3), 395–401 (2006)
Edwards, W.: How to use multiattribute utility measurement for social decision-making. IEEE Trans. Syst. Man Cybern. 7(5), 326–340 (1977)
Ekel, P., Pedrycz, W., Pereira Jr, J.: Multicriteria Decision-making under Conditions of Uncertainty: A Fuzzy Set Perspective. Wiley & Sons, Chichester (2020)
El Gibari, S., Gómez, T., Ruiz, F.: Building composite indicators using multi-criteria methods: a review. J. Bus. Econ. 89(1), 1–24 (2019)
Ghosh, N., Saha, R., Bhowmick, S.: SDG index and ease of doing business in India: a sub-national study. ORF Occas. Paper. 199, 1–65 (2019)
Gomes, L.F.A.M., Lima, M.M.P.P.: TODIM: Basics and application to multi-criteria ranking of projects with environmental impacts. Foundat. Comput. Dec. Sci. 16(4), 113–127 (1991)
Granger, C.W.: Investigating causal relations by econometric models and cross-spectral methods. Econom. J. Econom. Soc. 37(3), 424–438 (1969)
Hendricks, W.A., Robey, K.W.: The sampling distribution of the coefficient of variation. Ann. Math. Stat. 7(3), 129–132 (1936)
IEGKE, Independent Evaluation Group Knowledge Programs and Evaluation Capacity Development.: Doing Business: an Independent Evaluation; Taking the Measure of the World Bank-IFC Doing Business Indicators. World Bank, Washington, DC (2008)
Jayasuriya, D.: Improvements in the world bank's ease of doing business rankings: Do they translate into greater foreign direct investment inflows?. Policy Research Working Paper. 5787 (2011)
Júlio, P., Pinheiro-Alves, R., Tavares, J.: Foreign direct investment and institutional reform: evidence and an application to Portugal. Port. Econ. J. 12(3), 215–250 (2013)
Kalkan, S.B.: Classification of European union member and candidate countries according to ease of doing business index using fuzzy clustering. Stat. Empr. Econom. J. 12, 25–35 (2019)
Karama, D.: Ease of Doing Business: Emphasis on Corruption and Rule of Law. MPRA Paper. 58662, University Library of Munich, Germany (2014)
Krammer, S.M.: Do good institutions enhance the effect of technological spillovers on productivity? comparative evidence from developed and transition economies. Technol. Forecast. Soc. Chang. 94, 133–154 (2015)
Libório, M.P., Martinuci, O.D.S., Laudares, S., Lyrio, R.D.M., Machado, A.M.C., Bernardes, P., Ekel, P.: Measuring intra-urban inequality with structural equation modeling: a theory-grounded indicator. Sustainability 12(20), 8610 (2020)
Libório, M.P., Bernardes P., Laudares, S., Ekel P.: Evidence of the negative relationship of transaction costs in the economic performance of G7+Brics countries. SSRN Elect. J. (2021a). https://doi.org/10.2139/ssrn.3758884
Libório, M.P., Martinuci, O.D.S., Machado, A.M.C., Hadad, R.M., Bernardes, P., Camacho, V.A.L.: Adequacy and consistency of an intraurban inequality indicator constructed through principal component analysis. Prof. Geogr. 73(2), 282–296 (2021b)
Machado, D.D.Q., Diniz, G.M., Ogasavara, M.H., Matos, F.R.N.: Doing business: Uma análise comparativa das regulamentações no BRICS. Revista De Administração Contemporânea. 19(3), 355–373 (2015)
Mardani, A., Jusoh, A., Nor, K., Khalifah, Z., Zakwan, N., Valipour, A.: Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja. 28(1), 516–571 (2015)
Maričić, M., Bulajić, M., Radojičić, Z., Jeremić, V.: Shedding light on the doing business index: a machine learning approach. Bus. Syst. Res. J: Int. J. Soc. Advanc. Bus. Inform. Technol. (BIT). 10(2), 73–84 (2019)
McCormack, G.: Why “doing business” with the World Bank May Be Bad for You. Europ. Bus. Organ. Law Rev. 19(3), 649–676 (2018)
McKay, A.T.: Distribution of the coefficient of variation and the extended" t" distribution. J. Roy. Stat. Soc. 95(4), 695–698 (1932)
Mehrabani, F., Basirat, M., Abdollahi, F.: Examining the effects of doing business on Iran and MENA countries’ economic growth. Int. J. Islam. Middle East. Financ. Manag. 9(1), 2–23 (2016)
Miguel, B.S., Herrero-Prieto, L.C.: Reliability of creative composite indicators with territorial specification in the EU. Sustainability. 12(8), 3070 (2020)
Munda, G.: Intensity of preference and related uncertainty in non-compensatory aggregation rules. Theor. Decis. 73(4), 649–669 (2012)
Munda, G., Nardo, M.: Noncompensatory/nonlinear composite indicators for ranking countries: a defensible setting. Appl. Econ. 41(12), 1513–1523 (2009)
Munemo, J.: Business start-up regulations and the complementarity between foreign and domestic investment. Rev. World Econ. 150(4), 745–761 (2014)
Nardo, M., Saisana, M., Saltelli, A., Tarantola, S.: Tools for composite indicators building. Europ. Com, Ispra. 15, 19–20 (2005)
OECD, JRC.: Handbook on constructing composite indicators: Methodology and user guide. OECD Publishing, Paris (2008)
Panel, I.: Independent panel review of the doing business report. World Bank. Washington (2013)
Parreiras, R.O., Ekel, P.Y.: Fuzzy preference based organizational performance measurement. In: Watada J., Phillips-Wren G., Jain L.C., Howlett R.J. (eds.) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 10. Springer, Berlin, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22194-1_45
Parreiras, R.O., Ekel, P.Y., Morais, D.C.: Fuzzy set based consensus schemes for multi-criteria group decision making applied to strategic planning. Group Decis. Negot. 21(2), 153–183 (2012)
Pearson, k.: LIII. On lines and planes of closest fit to systems of points in space. Lond. Edinb. Dublin Philos. Mag. J. Sci. 2(11) 559–572 (1901). https://doi.org/10.1080/14786440109462720
Pedrycz, W., Ekel, P., Parreiras, R.: Fuzzy multi-criteria decision-making: models, methods and applications. John Wiley & Sons, Chinchester (2011)
Pereira Júnior, J.G., Ekel, P.I., Moreno, E.V.S., Silva, I.S., Silva, C.M.C., Mascarenhas, F.H.L.: Decision making in a fuzzy environment as applied to analyzing and prioritizing industrial districts. In: Proceedings of the XLVIII SBPO Simpósio Brasileiro de Pesquisa Operacional, 292–302 (2016)
Pérez, I.J., Cabrerizo, F.J., Alonso, S., Herrera-Viedma, E.: A new consensus model for group decision making problems with non-homogeneous experts. IEEE Trans. Syst., Man, Cybern.: Syst. 44(4), 494–498 (2013)
Pinheiro-Alves, R., Zambujal-Oliveira, J.: The ease of doing business index as a tool for investment location decisions. Econ. Lett. 117(1), 66–70 (2012)
Ramalho, F.D., Ekel, P.Y., Pedrycz, W., Júnior, J.G.P., Soares, G.L.: Multicriteria decision making under conditions of uncertainty in application to multiobjective allocation of resources. Information Fusion. 49, 249–261 (2019)
Roham, M., Gabrielyan, A.R., Archer, N.P.: Fuzzy linguistic modeling of ease of doing business indicators. Internat. J. Uncertain. Fuzziness Knowledge-Based Systems 17(04), 531–557 (2009)
Roszkowska, E.: Rank ordering criteria weighting methods–a comparative overview. Optimum. Studia Ekonomiczne. 5(65), 14–33 (2013)
Roy, B.: Classement et choix en présence de points de vue multiples. Revue Française D’informatique Et De Recherche Opérationnelle. 2(8), 57–75 (1968)
Roy, B.: Problems and methods with multiple objective functions. Math. Program. 1(1), 239–266 (1971)
Roy, B.: The outranking approach and the foundations of ELECTRE methods. In: Bana e Costa, C.A. (eds.) Readings in Multiple Criteria Decision Aid, pp. 155–183. Springer, Berlin, Heidelberg (1990). https://doi.org/10.1007/978-3-642-75935-2_8
Ruiz, F., Cabello, J.M., Pérez-Gladish, B.: Building ease-of-doing-business synthetic indicators using a double reference point approach. Technol. Forecast. Soc. Chang. 131, 130–140 (2018)
Saaty, T.L.: The analytic hierarchy process: planning, priority setting, resources allocation. McGraw, New York (1980)
Schwab, K.: The Global Competitiveness Report 2017–2018: Global Competitiveness Index. World Economic Forum. weforum.org/gcr (2017). Accessed 01 Oct 2020
Silva, L.M.L., Ekel, P., Vieira, D., Soares, G.L.: Multiattribute spatial decision-making for qualitative information processing as applied to the renewable energy generating sites prospection. IEEE Access. 8, 137745–137757 (2020)
Sneath, P.H.A.: Some statistical problems in numerical taxonomy. The Stat. 17(1) (1967). https://doi.org/10.2307/2987198
Sneath, P.H.A., Sokal, R.R.: In: Freeman, W.H. (ed.) Numerical Taxonomy: the Principles and Practice of Numerical Classification. San Francisco (EUA) (1973)
Sureeyatanapas, P.: Comparison of rank-based weighting methods for multi-criteria decision making. Eng. Appl. Sci. Res. 43, 376–379 (2016)
Tan, K.G., Amri, M., Merdikawati, N.: A new index to measure ease of doing business at the sub-national level: Empirical findings from Indonesia. Cross Cultur. Strat. Manag. 25(3), 515–537 (2018a)
Tan, K.G., Gopalan, S., Nguyen, W.: Measuring ease of doing business in India’s sub-national economies: a novel index. South Asian J. Bus. Stud. 7(3), 242–264 (2018b)
Torriti, J., Ikpe, E.: Administrative costs of regulation and foreign direct investment: the standard cost model in non-OECD countries. Rev. World Econ. 151(1), 127–144 (2015)
Transparency International.: Corruption Perceptions Index 2017: Global Scores. http://files.transparency.org/content/download/2185/13756/file/2017_CPI_Brochure_EN.PDF (2018). Accessed 01 Oct 2020.
Ullah, I., Khan, M.A.: Institutional quality and foreign direct investment inflows: evidence from Asian countries. J. Econ. Stud. 44(6), 1030–1050 (2017)
Vivek, M.A., Jason, A.A.: The ease of doing business rank: an assessment of its macroeconomic relevance. SSRN Elect. J. (2016). https://doi.org/10.2139/ssrn.2804921
Witulski, N., Dias, J.G.: The Sustainable society index: Its reliability and validity. Ecological Indicators 114, 106190 (2020)
World Bank.: Data Bank. https://databank.worldbank.org/data/home (2017). Accessed 01 Oct 2020
World Bank.: Doing Business 2019: Training for Reform. World Bank Publications, Washington DC (2018)
Yager, R.R.: On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans. Syst. Man Cybern. 18(1), 183–190 (1988)
Yager, R.R., Filev, D.P.: Parameterized and-uke and or-like owa operators. Int. J. Gen. Syst. 22(3), 297–316 (1994)
Zadeh, L.A.: The role of fuzzy logic in the management of uncertainty in expert systems. Fuzzy Sets Syst. 11(1–3), 199–227 (1983). https://doi.org/10.1016/S0165-0114(83)80081-5
Acknowledgements
We are grateful to the three anonymous reviewers for their constructive comments. The remaining errors are ours.
Funding
The work of Matheus Pereira Libório was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil (CAPES), under Finance Code 001. The work of Petr Ekel was supported by the Brazilian National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq) under grant 311032/2016–8 and by Companhia Vale – Brasil (Vale)—P&D 2019–2022 “Pesquisa em Planejamento e Suporte a Tomada de Decisão” [Research in Planning and Decision Making Support].
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Bernardes, P., Ekel, P.I., Rezende, S.F.L. et al. Cost of doing business index in Latin America. Qual Quant 56, 2233–2252 (2022). https://doi.org/10.1007/s11135-021-01221-8
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DOI: https://doi.org/10.1007/s11135-021-01221-8