Do Choice & Speed of Reforms Matter for Human Rights During Transition?

Conventional wisdom posits absence of systematic relationship between economic reforms and human rights. Taking the case of transition economies, Vadlamannati & Soysa (2008) shows significant positive relationship between economic reforms and various forms of human rights. This brings us to the next question on the impact of choice and speed of reforms on human rights performance. In other words, does speed and choice of reforms increase or decrease government respect for human rights in transition economies? This is the question our paper tries to address. The Anglo-Saxon perspective is that speed of reforms lead to growth and development which inturn generates respect for human rights. While skeptics contend that rushing towards a free market economy would always be destructive as development process tends to be exclusive creating exogenous shocks leading to social and economic unrest. This leads to domestic violence and conflicts, allowing governments to resort to repressive measures. We use a new method to construct ëspeed of reformsí variable for transition economies for the period 1993 ñ 2006 to estimate its impact on all forms of human rights. Further, using the methodology of Wolf (1999) on discrete groupings of choice of reforms of transition economies, we classify the countries under radical, gradual and laggard reformer groups. We measure the impact of speed of reforms on human rights performance conditioned by choice of reforms. Our findings show that speed of reforms significantly improves government respect for all forms of human rights, while volatility in reforms is associated with human rights abuses. But the interesting finding is that, controlling for the speed of reforms attained, the choice with which the country has reformed plays pivotal role in determining human rights performance. While radical reforming countries are associated with better human rights performance, gradualists and laggards share poor human rights performance.http://deepblue.lib.umich.edu/bitstream/2027.42/64413/1/wp927.pd

Diversity in the Heartland of America: The Impact on Human Development in Indiana

This article is the third in a series of studies measuring the impact of cultural diversity on human development. We disaggregate cultural diversity into three components: ethnicity, language, and religion. The first study examined the impact of diversity internationally. We found that countries are worse off with greater diversity, especially religious diversity; however, we found that more-prosperous countries with strong institutions benefited from increased diversity. We concluded that strong institutions are essential to maximize the benefits of diversity while mitigating the associated costs. The second study examined the impact of diversity within the United States, where institutional strength was assumed to be relatively great and similar between states. We found an overall negative impact from diversity. Ethnic diversity was negatively associated with human development, while religious and language diversity had a positive impact. We concluded that in the United States, there is more tolerance for religious and language differences compared to ethnic differences. In this third study, we examine the impact of diversity within the state of Indiana. As with our national results, we find a generally negative relationship between human development and diversity. Ethnic diversity has a negative impact, while religious and language diversity are generally positive influences. Strong political and legal institutions may not be sufficient to extract net benefits from diversity if social attitudes that guide behavior are not supportive. The results suggest that net benefits from diversity in Indiana may depend on improvement of social attitudes and in commitment to social services that support historically disadvantaged minority groups

Human capital—economic growth nexus in the former Soviet Bloc

This study analyses the role of education in economic development in the republics of the former Socialist Bloc and more specifically the impact of human capital on per capita economic growth in transition economies in the Russian Federation, and Ukraine. The factors that are associated with the human capital in terms of education levels are analyzed in order to measure this impact. Our approach is to estimate the significance of educational levels for initiating substantial economic growth. We estimate a system of linear and log-linear equations accounting for different time lags in the possible impact of human capital on economic growth.education, human capital, growth, transition, Russia, Ukraine

A Racial Impact Analysis of HB 994: Human Trafficking

Human Trafficking has become an international crisis that has caused a devastating impact on the Commonwealth of Virginia. The purpose of this report is to examine the racial equity impact of Virginia House Bill 944. HB 994 was introduced to the House by Delegate Barbara Comstock, along with 13 other members of the House and was passed by the House of Delegates and was Passed Indefinitely in Courts of Justice with letter in 2014. This Bill, as initially introduced, would have made it a felony to participate in Human Trafficking by expanding the definition of abduction/kidnapping. It also would have provided additional protection for minors by taking away the defense of consent. This report reviews the practices of Human Trafficking and provides an overview of how HB 944 being passed indefinitely harms minority communities

The Human Development Impact of Economic Crises

human development, aid, trade, security

Assessment of Prediction Techniques: The Impact of Human Uncertainty

Many data mining approaches aim at modelling and predicting human behaviour. An important quantity of interest is the quality of model-based predictions, e.g. for finding a competition winner with best prediction performance. In real life, human beings meet their decisions with considerable uncertainty. Its assessment and resulting implications for statistically evident evaluation of predictive models are in the main focus of this contribution. We identify relevant sources of uncertainty as well as the limited ability of its accurate measurement, propose an uncertainty-aware methodology for more evident evaluations of data mining approaches, and discuss its implications for existing quality assessment strategies. Specifically, our approach switches from common point-paradigm to more appropriate distribution-paradigm. This is exemplified in the context of recommender systems and their established metrics of prediction quality. The discussion is substantiated by comprehensive experiments with real users, large-scale simulations, and discussion of prior evaluation campaigns (i.a. Netflix Prize) in the light of human uncertainty aspects

Market forces, strategic management, HRM practices and organizational performance, a model based in european sample

This study uses structural equation modeling to test a model of the impact of human resources management practices on perceived organizational performance, on a large sample of European companies. The influences of competitive intensity, industry attractiveness and strategic management are considered in the model, and their direct and indirect influence on organizational performance is assessed. The model produced an adequate fit and results show that strategic management does influence human resource practices. Human resource flexibility practices and performance management have a positive impact on organizational performance, while training was not found to have a significant impact. A direct positive impact of competitive intensity and industry attractiveness on strategic management was supported by the data, as well as a direct positive effect of industry attractiveness on perceived organizational performance.