Business regulations and economic growth: What can be explained?

Messaoud, Boudhiaf; Ghak, Teheni El

doi:10.1016/j.ism.2014.03.001

Cited by 30 publications

(29 citation statements)

References 18 publications

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“…Furthermore, their correlation with the general economic and welfare indicators is far from perfect. "…we see a week direct connection of the Doing Business index with economic welfare" (Messaoud and Teheni, 2014); also: "…the gap between the Doing Business ranking and average income is hefty… Such disparities feed concerns about shortcomings in the Doing Business report" (The Economist, 2015). And more: "…(innovation performance) ranking does not take specific economic and social conditions of the country into account" (Nasierowski and Arcelus, 2012).…”

Section: Introductionmentioning

confidence: 99%

Sustainable growth of EU economies and Baltic context: Characteristics and modelling

Karnītis¹,

Karnītis²

2017

Journal of International Studies

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The united general growth strategy for all EU Member States, a common economic and political vision as well as location in the same geographic region provides a necessary basis for the benchmarking modelling of economies. The main objective of this study is determination of the functional regularities and drivers of the growth of EU economies and the context of the Baltic States in line with the general trend of the EU, as well as development of the growth model, which can be used for sustainable planning and prediction. Analysis of several regularly published analytical indexes suggests a thesis on innovation as the real basic driving force for EU economies and outlines Innovation Performance Index, which have a very strong compliance with the economic growth of particular country. At the same time study of the data set and methodology of the Index indicates space for further optimization. By use of several linear regression tools the growth model was created. It is based on three hard independent statistical indicators (predictors) only; of course, these indicators is a peak of a complex pyramid. Despite of the simplicity of the model, the long-term correlation of fitted values with the real GDP per capita is extremely strong 0.961-0.987).

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Section: Introductionmentioning

confidence: 99%

Sustainable growth of EU economies and Baltic context: Characteristics and modelling

Karnītis¹,

Karnītis²

2017

Journal of International Studies

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“…This is in line with previous studies by Djankov, McLiesh and Ramalhom (2006) and Haunsch (2011). Messaoud and Teheni (2014) conducted a very detailed study of 162 countries between 2007 and 2011 using not only easy of doing business indices as dependent variables but also control variables. This is a more complex and detailed study.…”

Section: Resultsmentioning

confidence: 99%

“…It contributes to the emergence of new companies, which in turn results in improved competitiveness and innovation (Klapper & Love, 2010). Messaoud and Teheni (2014) rightly point out that the overwhelming number of works do not directly relate to the causal link between business environment and economic growth. According to the authors, works which indirectly relate to the researched issues, indicating, for example, the correlation between business environment and productivity, investment, innovativeness or efficiency of factors of production, prevail.…”

Section: H2mentioning

confidence: 99%

Business Environment and Economic Growth in the European Union Countries: What Can Be Explained for the Convergence?

Głodowska¹

2017

EBER

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“…& Biekpe, N., 2013), (Alesina, A., Ardagna, S., Nicoletti, G., Schiantarelli F., 2005), (Dawson, J.W., 2006), (La Porta, R. et al, 1999), (Messaouda, B. & Tehenib Z. G., 2014);  institutional and legal aspects (Beck, T., Demirguc-Kunt, A., Levine, R., 2003), (Djankov, S. et al, 2002), (Johnson, S., McMillian, J., Woodruff, C., 2002), (La Porta, R. et al, 1997);  social and labor issues (Bertola, G. & Rogerson, R., 1997), (Botero, J.C. et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Method for Diagnostics, Assessment, and Analysis of Investment Climate and Risks

Alexandrov¹,

Vyakina²,

Skvortsova³

2017

ASS

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The paper suggests the author's method of analyzing the investment climate and assessing unsystematic investment risk. The authors propose an original non-traditional approach to the solution of two interrelated problems: investment climate diagnostics and investment risk level evaluation. The technique can be applied by both an investor for making an investment decision and an issuer for analyzing reasons of the low investment object attractiveness. It makes it possible to identify the barrier and restrictive factors determining a high risks and to develop measures to reduce them. The advanced algorithm, step-by-step methodology, and decision support system for assessing investment climate and unsystematic investment risk were described and formalized in the paper. Scientific and practical significance lies in the fact that the complex analysis and evaluation method proposed allows management decisions to be argued. The author's technique will significantly reduce the role of the subjective factor caused by expert evaluation and uncertainty factors, improve the validity and reliability of the investment climate and risk assessments, and help to make an adequate decision about risk elimination.

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Business regulations and economic growth: What can be explained?

Cited by 30 publications

References 18 publications

Sustainable growth of EU economies and Baltic context: Characteristics and modelling

Sustainable growth of EU economies and Baltic context: Characteristics and modelling

Business Environment and Economic Growth in the European Union Countries: What Can Be Explained for the Convergence?

Method for Diagnostics, Assessment, and Analysis of Investment Climate and Risks

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