scholarly journals SOCIAL CONSEQUENCES OF RURAL-URBAN INCOME INEQUALITIES IN ROMANIA

Author(s):  
Sergiu Tara
2020 ◽  
Vol 51 (4) ◽  
pp. 219-238
Author(s):  
James H. Wirth ◽  
Ashley Batts Allen ◽  
Emily M. Zitek

Abstract. We examined the negative outcomes, particularly social costs that result when a person harms their group by performing poorly, and whether self-compassion could buffer against these negative outcomes. In Studies 1 and 2, participants performed poorly and harmed their group or performed equal to their group. Harmful poor-performing participants felt more burdensome, experienced more negative affect, felt more ostracized, anticipated more exclusion, and felt lowered self-esteem than equal-performing participants. Studies 3 and 4 disentangled poor performance from harming a group. Poor-performing participants either harmed the group or caused no harm. Harmful poor-performing participants felt more burdensome and anticipated more exclusion, indicating the additional social consequences of a harmful poor performance over a non-harmful performance. Across studies, trait self-compassion was associated with reduced negative effects.


1996 ◽  
Vol 41 (4) ◽  
pp. 390-391
Author(s):  
John D. , Cone
Keyword(s):  

PsycCRITIQUES ◽  
2007 ◽  
Vol 52 (33) ◽  
Author(s):  
Philip Knowles
Keyword(s):  

2014 ◽  
pp. 53-64 ◽  
Author(s):  
E. Andreyashchenko ◽  
A. Zazdravnykh

This article is an attempt of summarizing key economic approaches to cartel agreements analysis, its stability, ways of estimating social consequences of cartel agreements. It is alleged that the traditional way of understanding the cartels’ role as completely negative is not accurate; this type of inter-corporate agreements may also bring positive effects on industrial markets. Typical limits of analytical apparatus, contradictions that appear while interpreting results of specific economic models are also represented in the article, as well as substantiation of a discrete role of pricing factor within the analysis of anti-competitive agreements.


Author(s):  
Julia Rishatovna Kuzhanbaeva ◽  
Rustam Taufihovich Kuzhanbaev ◽  
Maria S. Guseva

In order to prevent negative socio-economic trends, to predict the social consequences of decisions on the implementation of state policy in the development of single-industry territories, public authorities monitor the socio-economic situation in single-industry towns based on an assessment of a number of statistical indicators. Such a differentiated assessment of statistical parameters does not allow a comprehensive assessment of the level of development and competitiveness of a single-industry town by territory, which is of particular relevance in modern conditions of glocalization. Of particular scientific and practical interest is a comparative analysis of the level of development of single-industry towns on the basis of an integral indicator that takes into account aspects of various spheres of life of the population and allows an objective assessment of the competitive positions of single-industry territories, which is currently not used by state authorities for monitoring. The purpose of the work is to assess and justify the conditions and development trends of single-industry towns of the Samara region on the basis of calculating the integral indicator of competitiveness, taking into account the level of development of the economy, finance, employment, social security and demography, as well as the mono-profile level of territories. In this study, we used the methods of system analysis, the method of comparisons and analogies, the method of generalization, the methods of dialectic and statistical analysis, the method of expert estimates, the method of retrospective estimates and structural-dynamic analysis. The paper provides an overview of the single-industry towns of the regions of the Volga Federal District; the results of testing the methodology for assessing the competitiveness of single-industry towns of the Samara region on the basis of an integral indicator are presented and trends in its change in the period 2013–2017 are identified. The study involved four single-industry towns of the Samara region: Oktyabrsk, Pohvistnevo, Tolyatti, Chapaevsk. The calculations showed that For five years Oktyabrsk was an outsider in four of the six areas under study (economics, labor, social services, demography), which led to the lowest competitiveness index and allowed us to identify the competitiveness of a single-industry town as “below average”. In relatively equal socio-economic conditions, there were Pohvistnevo, Togliatti and Chapaevsk, the level of competitiveness of which is “above average”.


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