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Shedding Light on the Doing Business Index: a Machine Learning Approach Cover

Shedding Light on the Doing Business Index: a Machine Learning Approach

Open Access
|Sep 2019

References

  1. 1. Adams, S. (2009), “Foreign Direct investment, domestic investment, and economic growth in Sub-Saharan Africa”, Journal of Policy Modeling, Vol. 31, No. 6, pp. 939-949.10.1016/j.jpolmod.2009.03.003
  2. 2. Amado, C. A. F., São José, J. M. S., Santos, S. P. (2016), “Measuring active ageing: A Data Envelopment Analysis approach”, European Journal of Operational Research, Vol. 255, No. 1, pp. 207-223.10.1016/j.ejor.2016.04.048
  3. 3. Arruñada, B. (2007), “Pitfalls to avoid when measuring institutions: Is Doing Business damaging business?”, Journal of Comparative Economics, Vol. 35, No. 4, pp. 729-747.10.1016/j.jce.2007.08.003
  4. 4. Basu, P., Guariglia, A. (2007), “Foreign Direct Investment, inequality, and growth”, Journal of Macroeconomics, Vol. 29, No. 4, pp. 824-839.10.1016/j.jmacro.2006.02.004
  5. 5. Becker, W., Saisana, M., Paruolo, P., Vandecasteele, I. (2017), “Weights and importance in composite indicators: Closing the gap”, Ecological Indicators, Vol. 80, pp. 12-22.10.1016/j.ecolind.2017.03.056
  6. 6. Bird, S. M., Sir David, C., Farewell, V. T., Harvey, G., Tim, H., Peter C. S. (2005), “Performance indicators: good, bad, and ugly”, Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol. 168, No. 1, pp. 1-27.10.1111/j.1467-985X.2004.00333.x
  7. 7. Booysen, F. (2002), “An overview and evaluation of composite indices of development”, Social Indicators Research, Vol. 59, No. 2, pp. 115-151.10.1023/A:1016275505152
  8. 8. Brunetti, A., Kisunko, G., Weder, B. (1997), Institutional Obstacles to Doing Business: Region-by-Region Results from a Worldwide Survey of the Private Sector, World Bank Publications.
  9. 9. Büthe, T., Milner, H. V. (2008), “The Politics of Foreign Direct Investment into Developing Countries: Increasing FDI through International Trade Agreements?”, American Journal of Political Science, Vol. 52, No. 4, pp. 741-762.10.1111/j.1540-5907.2008.00340.x
  10. 10. Cavusgil, S. T. (1997), “Measuring the potential of emerging markets: An indexing approach”, Business Horizons, Vol. 40, No. 1, pp. 87-91.10.1016/S0007-6813(97)90030-6
  11. 11. Celebi, M. E., Kingravi, H. A., Vela, P. A. (2013), “A comparative study of efficient initialization methods for the k-means clustering algorithm”, Expert Systems with Applications, Vol. 40, No. 1, pp. 200-210.10.1016/j.eswa.2012.07.021
  12. 12. Charrad, M., Ghazzali, N., Boiteau, V., Niknafs, A. (2014), “NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set”, Journal of Statistical Software, Vol. 61, No. 6.10.18637/jss.v061.i06
  13. 13. Cherchye, L., Moesen, W., Rogge, N., Van Puyenbroeck, T. (2007), “An introduction to ‘benefit of the doubt’ composite indicators”, Social Indicators Research, Vol. 82, No. 1, pp. 111-145.10.1007/s11205-006-9029-7
  14. 14. Cherchye, L., Moesen, W., Rogge, N., Van Puyenbroeck, T., Saisana, M., Saltelli, A., Liska, R., Tarantola, S. (2008), “Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index”, Journal of the Operational Research Society, Vol. 59, No. 2, pp. 239-251.10.1057/palgrave.jors.2602445
  15. 15. Davis, K. E., Kingsbury, B., Merry, S. E. (2012), “Indicators as a Technology of Global Governance”, Law & Society Review, Vol. 46, No. 1, pp. 71-104.10.1111/j.1540-5893.2012.00473.x
  16. 16. Decancq, K., Lugo, M. A. (2013), “Weights in Multidimensional Indices of Wellbeing: An Overview”, Econometric Reviews, Vol. 32, No. 1, pp. 7-34.10.1080/07474938.2012.690641
  17. 17. Despotis, D. K. (2005), “A reassessment of the human development index via data envelopment analysis”, Journal of the Operational Research Society, Vol. 56, No. 8, pp. 969-980.10.1057/palgrave.jors.2601927
  18. 18. Djankov, S., La Porta, R., Lopez-de-Silanes, F., Shleifer, A. (2002), “The Regulation of Entry”, The Quarterly Journal of Economics, Vol. 117, No. 1, pp. 1-37.10.1162/003355302753399436
  19. 19. Dobrota, M., Bulajic, M., Bornmann, L., Jeremic, V. (2016), “A new approach to the QS university ranking using the composite I-distance indicator: Uncertainty and sensitivity analyses”, Journal of the Association for Information Science and Technology, Vol. 67, No. 1, pp. 200-211.10.1002/asi.23355
  20. 20. Dobrota, M., Martic, M., Bulajic, M., Jeremic, V. (2015), “Two-phased composite I-distance indicator approach for evaluation of countries’ information development”, Telecommunications Policy, Vol. 39, No. 5, pp. 406-420.10.1016/j.telpol.2015.03.003
  21. 21. Gohou, G., Soumaré, I. (2012), “Does Foreign Direct Investment Reduce Poverty in Africa and are There Regional Differences?”, World Development, Vol. 40, No. 1, pp. 75-95.10.1016/j.worlddev.2011.05.014
  22. 22. Hartigan, J. A., Wong, M. A. (1979), “Algorithm AS 136: A K-Means Clustering Algorithm”, Applied Statistics, Vol. 28, No. 1, pp. 100-108.10.2307/2346830
  23. 23. Hoyland, B., Moene, K., Willumsen, K. (2008), Be Careful When Doing Business, Report to the Norwegian Ministry of Foreign Affairs.
  24. 24. Huang, M.-H. (2012), “Opening the black box of QS World University Rankings”, Research Evaluation, Vol. 21, No. 1, pp. 71-78.10.1093/reseval/rvr003
  25. 25. Independent Evaluation Group (2008), Doing Business: An Independent Evaluation. Taking the Measure of the World Bank-IFC Doing Business Indicators, World Bank, Washington, DC.
  26. 26. Ivanovic, B. (1977), Teorija Klasifikacije, Institut za ekonomiku industrije, Beograd.
  27. 27. Jain, A. K. (2010), “Data clustering: 50 years beyond K-means”, Pattern Recognition Letters, Vol. 31, No. 8, pp. 651-666.10.1016/j.patrec.2009.09.011
  28. 28. Jeremic, V., Bulajic, M., Martic, M., Radojicic, Z. (2011), “A fresh approach to evaluating the academic ranking of world universities”, Scientometrics, Vol. 87, No. 3, pp. 587-596.10.1007/s11192-011-0361-6
  29. 29. Jeremic, V., Jovanovic Milenkovic, M., Radojicic, Z., Martic, M. (2013), “Excellence with Leadership: the crown indicator of Scimago Institutions Rankings Iber report”, El Profesional de La Información, Vol. 22, No. 5, pp. 474-480.10.3145/epi.2013.sep.13
  30. 30. Jovanovic, M., Jeremic, V., Savic, G., Bulajic, M., Martic, M. (2012), “How does the normalization of data affect the ARWU ranking?”, Scientometrics, Vol. 93, No. 2, pp. 319-327.10.1007/s11192-012-0674-0
  31. 31. Kasim, A., Shkedy, Z., Kaiser, S., Hochreiter, S., Talloen, W. (2016), Applied Biclustering Methods for Big and High-Dimensional Data Using R, Chapman and Hall.10.1201/9781315373966
  32. 32. Konings, J. (2001), “The effects of foreign direct investment on domestic firms Evidence from firm-level panel data in emerging economies”, The Economics of Transition, Vol. 9, No. 3, pp. 619-633.10.1111/1468-0351.00091
  33. 33. Maricic, M., Bulajic, M., Martic, M., Dobrota, M. (2015), “Measuring the ict development: the fusion of biased and objective approach”, Naval Academy Scientific Bulletin, Vol. 18, No. 2, pp. 326-334.
  34. 34. Maricic, M., Bulajic, M., Radojicic, Z., Jeremic, V. (2016), “Multivariate approach to imposing additional constraints on the Benefit-of-the-Doubt model: The case of QS World University Rankings by Subject”, Croatian Review of Economic, Business and Social Statistics, Vol. 2, No. 1, pp. 1-14.10.1515/crebss-2016-0005
  35. 35. Maricic, M., Zornic, N., Jeremic, V. (2016), “Ranking European Universities Based on Their Level of Collaboration with the Industry: The Univesity-Industry Research Connections Index”, in proceedings of the International Conference on Education and New Learning Technologies, IATED, pp. 6095-6105.10.21125/edulearn.2016.0306
  36. 36. Maricic, M., Zornic, N., Pilcevic, I., Dacic-Pilcevic, A. (2017), “ARWU vs. Alternative ARWU Ranking: What are the Consequences for Lower Ranked Universities?”, Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, Vol. 22, No. 1, pp. 1-14.10.7595/management.fon.2017.0002
  37. 37. Miyamoto, S. (2012), “An Overview of Hierarchical and Non-hierarchical Algorithms of Clustering for Semi-supervised Classification”, in Torra V., Narukawa Y., López B., V. M. (Eds.), Modeling Decisions for Artificial Intelligence, Springer Berlin Heidelberg, pp. 1-10.10.1007/978-3-642-34620-0_1
  38. 38. Munda, G. (2008), Social Multi-Criteria Evaluation for a Sustainable Economy, Springer Berlin Heidelberg, Berlin, Heidelberg.10.1007/978-3-540-73703-2
  39. 39. Nardo, M., Saisana, M., Saltelli, A., Tarantola, S., Hoffman, A., Giovannini, E. (2005), Handbook on Constructing Composite Indicators, OECD Statistics Working Papers.
  40. 40. Neumayer, E., De Soysa, I. (2011), “Globalization and the Empowerment of Women: An Analysis of Spatial Dependence via Trade and Foreign Direct Investment”, World Development, Vol. 39, No. 7, pp. 1065-1075.10.1016/j.worlddev.2010.12.008
  41. 41. Paruolo, P., Saisana, M., Saltelli, A. (2013), “Ratings and rankings: voodoo or science?”, Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol. 176, No. 3, pp. 609-634.10.1111/j.1467-985X.2012.01059.x
  42. 42. Radojicic, M., Savic, G., Radovanovic, S., Jeremic, V. (2015), “A novel bootstrap dba-dea approach in evaluating efficiency of banks”, Naval Academy Scientific Bulletin, Vol. 18, No. 2, pp. 375-384.
  43. 43. Russell, L. B., Bhanot, G., Kim, S.-Y., Sinha, A. (2017), “Using Cluster Analysis to Group Countries for Cost-Effectiveness Analysis: An Application to Sub-Saharan Africa”, Medical Decision Making, Vol. 38, No. 2, pp. 139-149.10.1177/0272989X17724773
  44. 44. Saisana, M., D’Hombres, B., Saltelli, A. (2011), “Rickety numbers: Volatility of university rankings and policy implications”, Research Policy, Vol. 40, No. 1, pp. 165-177.10.1016/j.respol.2010.09.003
  45. 45. Savic, D., Jeremic, V., Petrovic, N. (2016), “Rebuilding the Pillars of Sustainable Society Index: A Multivariate Post Hoc I-Distance Approach”, Problemy Ekorozwoju - Problems of Sustainable Development, Vol. 12, No. 1, pp. 125-134.
  46. 46. Singh, R. K., Murty, H. R., Gupta, S. K., Dikshit, A. K. (2007), “Development of composite sustainability performance index for steel industry”, Ecological Indicators, Vol. 7, No. 3, pp. 565-588.10.1016/j.ecolind.2006.06.004
  47. 47. Škrabuľáková, E. F., Ivanova, M., Michaeli, E. (2016), “Usage of clustering methods in mathematics, geoinformatics and related fields of university study”, in proceedings of 17th International Carpathian Control Conference (ICCC), IEEE, pp. 723-728.10.1109/CarpathianCC.2016.7501190
  48. 48. Soh, K. (2014), “Nominal versus attained weights in Universitas 21 Ranking”, Studies in Higher Education, Vol. 39, No. 6, pp. 944-951.10.1080/03075079.2012.754866
  49. 49. Tibshirani, R., Walther, G., Hastie, T. (2001), “Estimating the number of clusters in a data set via the gap statistic”, Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 63, No. 2, pp. 411-423.10.1111/1467-9868.00293
  50. 50. World Bank (2017), Doing Business 2018: Reforming to Create Jobs, Washington, D.C, available at: http://www.doingbusiness.org/~/media/WBG/DoingBusiness/Documents/Annual-Reports/English/DB2018-Full-Report.pdf (06 November 2018).
  51. 51. Zhou, P., Ang, B. W., Zhou, D. Q. (2010), “Weighting and aggregation in composite indicator construction: A multiplicative optimization approach”, Social Indicators Research, Vol. 96, No. 1, pp. 169-181.10.1007/s11205-009-9472-3
DOI: https://doi.org/10.2478/bsrj-2019-019 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 73 - 84
Submitted on: Apr 20, 2018
Accepted on: Nov 12, 2018
Published on: Sep 16, 2019
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2019 Milica Maričić, Milica Bulajić, Zoran Radojičić, Veljko Jeremić, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.