Looking forward and looking backward: Economic evaluations and regime support in China

Politics ◽  
2021 ◽  
pp. 026339572198954
Author(s):  
Yida Zhai

It is widely acknowledged that the economic situation is of vital importance for the stability of an authoritarian regime, but it is rarely known how the public’s economic evaluation contributes to such outcomes. This study examines the effects of citizens’ retrospective and prospective evaluations of their household economic situation and the national economy on the level of regime support in China. The findings show that the national economy outweighs household economic conditions in its effects on the public’s support of the regime. However, the gap between evaluations of the national economy and individual economic situations debilitates regime support. The population in different age cohorts has distinct patterns of relationships between retrospective and prospective economic evaluations and regime support. This study elucidates the political-psychological mechanism of the public’s economic evaluation affecting regime support, and the ruling strategy in authoritarian regimes of manipulating this evaluation.

2009 ◽  
pp. 4-25 ◽  
Author(s):  
B. Zamaraev ◽  
A. Kiyutsevskaya ◽  
A. Nazarova ◽  
E. Sukhanov

The article analyzes the current economic conditions in Russia. Succession, distribution and the transmission mechanism of the world financial and economic crisis to the Russian economy are considered in this article as well as the changes in the banking system, share and housing markets. Production, consumption and investment on the boundary of 2008-2009 are described. The conclusion about the basic change of conditions of national economy development is presented.


Author(s):  
Andrey A. Pankovа ◽  
◽  
Alexander V. Yudin ◽  
Polina Yu. Grosheva ◽  
◽  
...  

10.5772/56750 ◽  
2013 ◽  
Vol 5 ◽  
pp. 39 ◽  
Author(s):  
Marcello Fera ◽  
Raffaele Iannone ◽  
Vincenzo Mancini ◽  
Massimiliano M. Schiraldi ◽  
Paolo Scotti

The aim of this paper is to present an economic evaluation framework of an RFID system implementation through a pilot project with the aim of streamlining logistic processes and compliance with higher level requirements. The company involved in the project belongs to the CPG (Consumer Packaged Goods) food industry, and in particular to the alimentary industry, whose principal scope was to comply the new norms of the sector by implementation of a better traceability system. This system, besides being very effective for the scope of the project, also had a huge impact in economic terms on logistics resources and cost reduction. For this reason, the discover of the RFID technology for the company has been greatly appreciated at management level, and today other fields of application are under evaluation. The added value of this article is contained not only in the results obtained in the economic evaluations, but also in the applied methodology, evidencing the advantages obtainable in the processes by cutting no added value operations. The economic analysis has thus been conducted on the basis of this TO-BE process streamlining.


2021 ◽  
pp. 001041402198975
Author(s):  
Ryan E. Carlin ◽  
Timothy Hellwig ◽  
Gregory J. Love ◽  
Cecilia Martínez-Gallardo ◽  
Matthew M. Singer

Public evaluations of the economy are key for understanding how citizens develop policy opinions and monitor government performance. But what drives economic evaluations? In this article, we argue the context in which information about the economy is distributed shapes economic perceptions. In high-quality information environments—where policies are transparent, the media is free, and political opposition is robust—mass perceptions closely track economic conditions. In contrast, compromised information environments provide openings for political manipulation, leading perceptions to deviate from business cycle fluctuations. We test our argument with unique data from eight Latin American countries. Results show restrictions on access to information distort the public’s view of economic performance. The ability of voters to sanction governments is stronger when democratic institutions and the media protect citizens’ access to independent, unbiased information. Our findings highlight the importance of accurate evaluations of the economy for government accountability and democratic responsiveness.


1993 ◽  
Vol 74 (2) ◽  
pp. 164-165
Author(s):  
V. A. Kalistratov

The study of the state of health of the population requires special attention due to the difficult socio-economic situation in which the entire national economy and, above all, the agricultural sector found itself. The labor intensity of workers in this industry directly depends on the season of the year, mechanized labor-intensive processes, labor supply. Of particular concern are the unfavorable tendencies that are now manifesting themselves more vividly. The agrarian sector of Tatarstan employs about 400 thousand people, of which almost 300 thousand are directly in agriculture.


2007 ◽  
Vol 191 (S50) ◽  
pp. s42-s45 ◽  
Author(s):  
Paul McCrone

BackgroundIt is essential in economic evaluations of schizophrenia interventions that all relevant costs are identified and measured appropriately Also of importance is the way in which cost data are combined with information on outcomesAimsTo examine the use of health economicsin evaluations of interventions for schizophreniaMethodsAreview of the key methods used to estimate costs and to link costs and outcomes was conductedResultsCosts fall on a number of different agencies and can be short term or long term. Cost-effectiveness analysis and cost-utility analysis are the most appropriate methods for combing cost and outcome dataConclusionsSchizophrenia poses a number of challenges for economic evaluation


2009 ◽  
Vol 26 (2-3) ◽  
pp. 89-111 ◽  
Author(s):  
Anne Allison

Japanese youth goods have become globally popular over the past 15 years. Referred to as `cool', their contribution to the national economy has been much hyped under the catchword Japan's `GNC' (gross national cool). While this new national brand is indebted to youth — youth are the intended consumers for such products and sometimes the creators — young Japanese today are also chastised for not working hard, failing at school and work, and being insufficiently productive or reproductive. Using the concept of immaterial labor, the article argues that such `J-cool' products as Pokémon are both based on, and generative of, a type of socio-power also seen in the very behaviors of youth — flexible sociality, instantaneous communication, information juggling — that are so roundly condemned in public discourse. The article examines the contradictions between these two different ways of assessing and calibrating the value of youth today. It also looks at the emergence of youth activism around the very precariousness, for them, of socio-economic conditions of flexibility.


Author(s):  
Silvia M.A.A. Evers ◽  
Carmen D. Dircksen

Introduction: Stakeholders are increasingly interested in the societal impact of psychosocial interventions in the youth sector, in terms of costs and quality of life, as well as in outcomes research. The aim of this broad consultation was to reach consensus regarding the steps to be undertaken to set a research agenda for the Netherlands Organisation for Health Research and Development (ZonMw) programme. Methods: The broad consultation consisted of an eight-step procedure, including the conceptualization of a consultation document consisting of a scoping review of (mainly) international opinion/methodological literature and an inventory of existing Dutch guidelines and manuals for economic evaluation, a written consultation procedure among a broad range of stakeholders, and a consultation meeting with these stakeholders. Results: In total 21 documents were included in the scoping review. A total of 24 stakeholders participated in the written consultation procedure and 14 stakeholders during the consultation meeting. The methodological issues and challenges, which were ranked in the top 5 by the stakeholders, are (i) outcome measurement, (ii) outcome identification, (iii) cost valuation, (iv) outcome valuation, and (v) time horizon/analytical approach. The existing guidelines and manuals provided guidance for some, but not all, issues and challenges. Discussion and Conclusion: This broad consultation has contributed to a research agenda for the ZonMw programme, which will in the long run lead to the standardization of economic evaluations in this sector in the Netherlands and methodological improvement of economic evaluations in the Dutch youth sector.


Author(s):  
Karla DiazOrdaz ◽  
Richard Grieve

Health economic evaluations face the issues of noncompliance and missing data. Here, noncompliance is defined as non-adherence to a specific treatment, and occurs within randomized controlled trials (RCTs) when participants depart from their random assignment. Missing data arises if, for example, there is loss-to-follow-up, survey non-response, or the information available from routine data sources is incomplete. Appropriate statistical methods for handling noncompliance and missing data have been developed, but they have rarely been applied in health economics studies. Here, we illustrate the issues and outline some of the appropriate methods with which to handle these with application to health economic evaluation that uses data from an RCT. In an RCT the random assignment can be used as an instrument-for-treatment receipt, to obtain consistent estimates of the complier average causal effect, provided the underlying assumptions are met. Instrumental variable methods can accommodate essential features of the health economic context such as the correlation between individuals’ costs and outcomes in cost-effectiveness studies. Methodological guidance for handling missing data encourages approaches such as multiple imputation or inverse probability weighting, which assume the data are Missing At Random, but also sensitivity analyses that recognize the data may be missing according to the true, unobserved values, that is, Missing Not at Random. Future studies should subject the assumptions behind methods for handling noncompliance and missing data to thorough sensitivity analyses. Modern machine-learning methods can help reduce reliance on correct model specification. Further research is required to develop flexible methods for handling more complex forms of noncompliance and missing data.


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