Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/257089 
Year of Publication: 
2020
Citation: 
[Journal:] Economies [ISSN:] 2227-7099 [Volume:] 8 [Issue:] 2 [Article No.:] 40 [Publisher:] MDPI [Place:] Basel [Year:] 2020 [Pages:] 1-12
Publisher: 
MDPI, Basel
Abstract: 
This study examines the evolution of the regional per capita income from the perspective of a policymaker at the national level. To do that, it utilizes stochastic dominance analysis by including a utility function that expresses the "regional inequalities aversion" level of the policymaker. In this way, the analysis indicates how the policymakers rank income distributions according to their primary policy objectives and more specifically, GDP growth and diminishing of income inequalities. Data refer to the per capita GDPs of the Greek prefectures during the period 2000-2017, in real terms. The estimation of certainty equivalents provides a numeric index of preference among regional income distributions according to the policy objectives mix. Results indicate that the period 2000-2017 is characterized by different patterns of regional income evolutions. Overall, there is no regional convergence from year 2000 to 2017, while the evolution of regional income does not follow a constant path. The analysis provides thoughtful insights into the way that different policy targets and preferences can affect the relevant ranking of income distributions. In a certain level of policymakers' "regional inequalities aversion", a balance between economic growth and diminishing of regional inequalities targets is assumed. Apart from a useful tool in economic research, this quantification approach can also be utilized in policy design for setting more appropriate policy targets, based on the preferences of policymakers at the national level.
Subjects: 
stochastic dominance
Greece
income inequalities
policy-making
regional convergence
JEL: 
R11
R12
R58
C13
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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