4.8 Article

Building Ease-of-Doing-Business synthetic indicators using a double reference point approach

Journal

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
Volume 131, Issue -, Pages 130-140

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.techfore.2017.06.005

Keywords

Ease-of-Doing-Business indicators; Investments; MCDM; Double reference point method; Weak and strong synthetic indicators; Fuzzy degree of similarity

Funding

  1. Spanish Ministry of Economy and Competitiveness [ECO2013-47129-C4-2-R]
  2. Spanish Ministry of Education, Culture and Sport [PRX16-0169]

Ask authors/readers for more resources

Investment decision making may require the selection of the geographical areas where the investments will be mainly done. A large number of factors could influence this decision such as the country business atmosphere, the human development level of the country and/or its political and macroeconomic stability. In this paper, we are mainly concerned with those aspects related to the ease of doing business in terms of countries' regulation. The World Bank Group publishes indicators on regulation for doing business, and they also provide a composite indicator. However, due to the aggregation method, this composite indicator does not fully reflect situations where a country performs well with respect to one indicator and very bad with respect to another. In this work, we propose the use of a Double Reference Point based methodology to obtain synthetic indicators allowing for different degrees of compensation. We will compare the obtained results with those obtained by the World Bank, highlighting the potential advantages of our approach. Comparison will be done taking into account the imprecision, ambiguity and uncertainty of the data by means of the Fuzzy Degree of Similarity between two rankings.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available