Fuzzy regional inequality measurement: a new stochastic dominance approach with application to Tunisia

2017 ◽  
Vol 5 (3) ◽  
pp. 296 ◽  
Author(s):  
Amal Jmaii ◽  
Besma Belhadj
Keyword(s):  
Stochastic Dominance ◽  
Regional Inequality ◽  
Inequality Measurement

Regional inequality dynamics, stochastic dominance, and spatial dependence

2018 ◽  
Vol 98 (2) ◽  
pp. 861-881 ◽  
Author(s):  
Sergio J. Rey ◽  
Wei Kang ◽  
Levi John Wolf
Keyword(s):  
Stochastic Dominance ◽  
Spatial Dependence ◽  
Regional Inequality

Third-degree stochastic dominance and inequality measurement

2008 ◽  
Vol 7 (3) ◽  
pp. 249-268 ◽  
Author(s):  
Michel Le Breton ◽  
Eugenio Peluso
Keyword(s):  
Stochastic Dominance ◽  
Inequality Measurement

Goal-Based Investing with Stochastic Dominance in Defined Contribution Plans

2017 ◽  
Vol 28 (4) ◽  
pp. 99-126
Author(s):  
Yongtae Kim ◽  
정도영 ◽  
Joo-Ho Sung
Keyword(s):  
Stochastic Dominance ◽  
Defined Contribution ◽  
Defined Contribution Plans

Sustainability and adaptability of regional development in the conditions of digitalization

2020 ◽  
Vol 19 (9) ◽  
pp. 1550-1613
Author(s):  
O.E. Akimova ◽  
S.K. Volkov ◽  
E.A. Gladkaya ◽  
I.M. Kuzlaeva
Keyword(s):  
Sustainable Development ◽  
Regional Development ◽  
Economic Behavior ◽  
Regional Inequality ◽  
Environmental Damage ◽  
Economic Potential ◽  
Human Welfare ◽  
Long Time ◽  
The Stability ◽  
Smart Technologies

Subject. The article discusses the sustainability of regional economy development, its definition, and the substance of sustainable development. Objectives. We aim at performing a comprehensive analysis of indicators of sustainability and adaptability of regional development in the context of digitalization, formulating a strategy for economic behavior that takes into account the multidimensional nature of regional inequality and is focused on boosting the economic potential of regions. Methods. The study draws on dialectic and systems approaches, general scientific methods of retrospective, situational, economic and statistical, and comparative analysis. Results. The sustainability of the region focuses on improving the human welfare over long time horizon. This happens in three areas, i.e. maximizing the efficiency of resource use; ensuring justice and democracy; minimizing resource consumption and environmental damage. The stability of the region can be assessed by using one parameter, or by combining the parameters in accordance with the type of region and expected results. Conclusions. The adaptation of a region to changing conditions depends on its type (‘adapted’, ‘adaptive’, and ‘non-adapted’). Regional inequality has two main components: difference in economic potential and social satisfaction of residents. Another component, affecting the stability and adaptability of regions, is the level of their digitalization. However, some regions have only formally embarked on the path of digitalization. Moreover, a focus on smart technologies, solutions and digitalization often leads to ignoring the goals of sustainable development. Smart technologies should be aimed at ensuring sustainability within the framework of the smart sustainable city concept.

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