Towards a Common Framework of Performance Measurement for Social Assistance Programs in Low-Income Countries in Transition: Rationale and Potential Structure

After the dissolution of the former Soviet Union, low-income countries in transition: Armenia, Azerbaijan, Georgia, Kyrgyzstan, Moldova, Tajikistan, and Uzbekistan have faced challenges of widespread poverty and sharp inequality. To reduce poverty and inequality, this group of countries, also known as CIS-7, has committed to rapid reforms in social assistance programs. This article proposes a new Common Framework of Performance Measurement for social assistance programs in CIS-7 countries that allows social administrators and policymakers to assess the performance of social assistance programs for the purposes of management improvement, encouraging accountability, and promoting benchmarking. Combining efficiency, quality, and effectiveness perspectives into a framework is a practical approach to assess the achievements of social assistance programs in CIS-7 towards poverty and inequality reduction

Social Assistance and the Challenges of Poverty and Inequality in Azerbaijan, a low-income country in transition

Although low-income countries in transition are facing the challenges of poverty and inequality, evidence on the performance of safety nets in these countries is scarce. This article uses micro-file data from a nationally representative household budget survey to analyze the existing social assistance programs in Azerbaijan, a low income country in transition, from the perspectives of poverty and inequality reduction. The empirical evidence presented in this paper indicates that the poverty and inequality reduction effectiveness of social assistance programs is inadequate. First, the benefits are very modest and the poor receive only a small proportion of them. Second, some programs are not aimed at poverty reduction by design. Third, the heterogeneous nature of poverty and the significant scale of shadow economy during transition make the identification of the poor complicated. Finally, the existing patchwork of numerous programs with small-scale benefits is costly and administratively demanding. A consolidated and better designed social assistance program is needed to effectively tackle the challenges of poverty and inequality in Azerbaijan

Social Assistance and the Challenges of Poverty and Inequality in Azerbaijan, a Low-Income Country in Transition Special Issue with Coping with Poverty

Although low-income countries in transition are facing the challenges of poverty and inequality, evidence on the performance of safety nets in these countries is scarce. This article uses micro-file data from a nationally representative household budget survey to analyze the existing social assistance programs in Azerbaijan, a low income country in transition, from the perspectives of poverty and inequality reduction. The empirical evidence presented in this paper indicates that the poverty and inequality reduction effectiveness of social assistance programs is inadequate. First, the benefits are very modest and the poor receive only a small proportion of them. Second, some programs are not aimed at poverty reduction by design. Third, the heterogeneous nature of poverty and the significant scale of shadow economy during transition make the identification of the poor complicated. Finally, the existing patchwork of numerous programs with small-scale benefits is costly and administratively demanding. A consolidated and better designed social assistance program is needed to effectively tackle the challenges of poverty and inequality in Azerbaijan

Analyzing the Poverty Reduction Effectiveness of the Canadian Provisions: Do Political Parties Matter

The implementation of the Canada Health and Social Transfer in 1996 marked a new era for the Canadian welfare state, as greater discretion in the area of social welfare policy and programming was granted to the provinces. In this study, the authors analyzed nationally representative data to determine if the governing provincial parties, characterized by distinct ideological and party platform positions, differed in regards to their poverty reduction effectiveness during 1996-2005. The authors\u27 analysis yielded no differences between the governing provincial parties in terms of their poverty reduction effectiveness. The study\u27s implications for future research, including research on subnational variation in social welfare policy, are discusse

Analyzing the Poverty Reduction Effectiveness of the Canadian Provinces: Do Political Parties Matter?

The implementation of the Canada Health and Social Transfer in 1996 marked a new era for the Canadian welfare state, as greater discretion in the area of social welfare policy and programming was granted to the provinces. In this study, the authors analyzed nationally representative data to determine if the governing provincial parties, characterized by distinct ideological and party platform positions, differed in regards to their poverty reduction effectiveness during 1996-2005. The authors\u27 analysis yielded no differences between the governing provincial parties in terms of their poverty reduction effectiveness. The study\u27s implications for future research, including research on subnational variation in social welfare policy, are discussed

Explaining Support for Structural Attribution of Poverty in Post-Communist Countries: Multilevel Analysis of Repeated Cross-Sectional Data

We examine support for the structural attribution of poverty in 24 post-communist countries (N = 37,307) for the period from 2006 to 2010 by considering: (1) individual-level characteristics, (2) country- level characteristics, and (3) interactions between individual- and country-level characteristics. At the individual-level, adherence to the norms of equity, the market economy, and work ethics all significantly weaken structural attribution of poverty. In contrast, support for the norms of equality, and personal experience with poverty significantly strengthen structural attribution of poverty. At the country-level, GDP growth significantly reduces structural attribution of poverty, while the GDP per capita and poverty rates do not have a significant influence. Interestingly, the overall contributions of all individual-level characteristics taken together appear to be stronger than those at the country level. Finally, interactions between individual- and country- level characteristics suggest that the effects of support for equity and equality norms, the market economy, work ethics values, and experience with poverty become less relevant for structural attribution of poverty when a country experiences higher economic growth. Consequently, in the public’s eye, individual-level and country-level characteristics are intertwined and interdependent

The Paradox of Institutional Trust and Entrepreneurship in Transitional Countries

The relationship between institutional trust and entrepreneurship is not straightforward but is intertwined with social context. This study explores this relationship by estimating the relationship between entrepreneurship and institutional trust together with a set of individual social demographics and the country of residence in 27 transitional countries in Eastern Europe and countries of the former Soviet Union using the data of the 2016 Life in Transition Survey (LiTS). The analytical framework in this study is that individuals make their decisions in choosing the type of employment by weighing the level of institutional trust in their communities, a set of democratic factors and social indicators.The results of our 2SLS estimations indicate a consistent negative association between institutional trust and entrepreneurship for all the sub-datasets. However, this cannot be interpreted as evidence for the negative effect of institutional trust on entrepreneurship. Given our analytical framework, this counter common-sense phenomenon would be interpreted as when the institutional trust was high, individuals would rather choose to have a paid job instead of running their own business in these transitional countries. This study provides evidence of how far these countries have gone on the path of transition three decades after the transition

Compatible Remediation on Vulnerabilities from Third-Party Libraries for Java Projects

With the increasing disclosure of vulnerabilities in open-source software, software composition analysis (SCA) has been widely applied to reveal third-party libraries and the associated vulnerabilities in software projects. Beyond the revelation, SCA tools adopt various remediation strategies to fix vulnerabilities, the quality of which varies substantially. However, ineffective remediation could induce side effects, such as compilation failures, which impede acceptance by users. According to our studies, existing SCA tools could not correctly handle the concerns of users regarding the compatibility of remediated projects. To this end, we propose Compatible Remediation of Third-party libraries (CORAL) for Maven projects to fix vulnerabilities without breaking the projects. The evaluation proved that CORAL not only fixed 87.56% of vulnerabilities which outperformed other tools (best 75.32%) and achieved a 98.67% successful compilation rate and a 92.96% successful unit test rate. Furthermore, we found that 78.45% of vulnerabilities in popular Maven projects could be fixed without breaking the compilation, and the rest of the vulnerabilities (21.55%) could either be fixed by upgrades that break the compilations or even be impossible to fix by upgrading.Comment: 11 pages, conferenc

A novel assay based on DNA melting temperature for multiplexed identification of SARS-CoV-2 and influenza A/B viruses

IntroductionThe severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and influenza viruses can cause respiratory illnesses with similar clinical symptoms, making their differential diagnoses challenging. Additionally, in critically ill SARS-CoV-2–infected patients, co-infections with other respiratory pathogens can lead to severe cytokine storm and serious complications. Therefore, a method for simultaneous detection of SARS-CoV-2 and influenza A and B viruses will be clinically beneficial.MethodsWe designed an assay to detect five gene targets simultaneously via asymmetric PCR-mediated melting curve analysis in a single tube. We used specific probes that hybridize to corresponding single-stranded amplicons at low temperature and dissociate at high temperature, creating different detection peaks representing the targets. The entire reaction was conducted in a closed tube, which minimizes the risk of contamination. The limit of detection, specificity, precision, and accuracy were determined.ResultsThe assay exhibited a limit of detection of <20 copies/μL for SARS-CoV-2 and influenza A and <30 copies/μL for influenza B, with high reliability as demonstrated by a coefficient of variation for melting temperature of <1.16% across three virus concentrations. The performance of our developed assay and the pre-determined assay showed excellent agreement for clinical samples, with kappa coefficients ranging from 0.98 (for influenza A) to 1.00 (for SARS-CoV-2 and influenza B). No false-positive, and no cross-reactivity was observed with six common non-influenza respiratory viruses.ConclusionThe newly developed assay offers a straightforward, cost-effective and nucleic acid contamination-free approach for simultaneous detection of the SARS-CoV-2, influenza A, and influenza B viruses. The method offers high analytical sensitivity, reliability, specificity, and accuracy. Its use will streamline testing for co-infections, increase testing throughput, and improve laboratory efficacy