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Eastern Europe and Central Asia (EECA) is home to 21% of the world’s population of people who inject drugs and it is the region with the fastest-growing HIV epidemic. HIV prevalence among women who inject drugs is significantly higher than among men in EECA. Even in places with high coverage of needle syringe programmes and HIV testing and treatment, women’s access to opioid substitution treatment is lower than men, and women’s sexual and reproductive health needs remain unaddressed. EECA has a unique system of drug registries that store the personal data of people who use drugs. Registration lowers the chances of employment and access to education and for women and increases the risk of losing custody of their children. The system of drug registries contributes to drug-related stigma. Breaches of confidentiality of drug registry data lead to the further marginalisation of women who use drugs. Criminalisation, past experience of police violence and poverty contribute to healthcare access barriers for women. There is a need for legislative changes to improve personal data protection, decriminalise drug use and reduce police violence. The positive effects of these changes would only be seen in the long term. In the interim, women need special access programmes that are designed specifically to address their needs, that provide free-of-charge services and that ensure the safety and confidentiality of personal data.

Introduction – In recent years, there has been a growing interest in innovation, not only in developed countries but also in developing countries. However, there has been limited literature for the developing countries.

Purpose – The literature on national innovation systems (NIS) mainly consists of case studies or qualitative researches aiming to explain the patterns of innovation, while the quantitative analysis are limited in explaining the innovation capability and efficiency of innovation. This study is unique in a sense that it compares the innovation efficiencies of the EECA countries. This chapter aims to measure the efficiency of NIS via data envelopment analysis (DEA) method.

Methodology – DEA is used to consider a sample of 18 Eastern European and Central Asian (EECA) countries and Turkey. One of the main issues is to determine the input and output variables because the available data for some of these countries were limited. Therefore, research and development expenditure (% of GDP), government expenditure on education, total (% of GDP), imports of goods and services (% of GDP) and foreign direct investment, net inflows (% of GDP) were determined as input variables. Output variables were as follows; patent applications both residents and non-residents, high-technology exports (% of manufactured exports) and scientific and technical journal articles.

Findings – Based on the key findings it can be noted that Kazakhstan, Turkey, Latvia and Uzbekistan are more efficient in innovation performance compared to other EECA countries. Throughout the results of the DEA, these countries may develop new policies about their innovation systems to reach out the higher performance.

The paper focuses on how student entrepreneurs learn from the process of applying for low-threshold seed capital grants of about €2500

An in-depth inductive study was conducted on the seed capital grant initiative TrønderEnergi–Bidraget (TEB). The research design was based on the Zaltman metaphor elicitation technique (ZMET) to capture the interviewees' perceptions about TEB. From the interviews, 596 codes were identified and grouped into 54 categories. The results are illustrated in a consensus map.

TEB is an enabler of student venture creation processes through both the money awarded and activities fostering learning and development. Learning by doing is visible through two processes: 1) repeated writing of applications and 2) “forced” reflective thinking through the steps in the application process. The iterativeness of these processes due to repeated applications to the low threshold initiative is important for learning.

The authors recommend that university managers and policymakers offer seed funding to student entrepreneurs to ensure that the offering is a low threshold. A low threshold is decisive for generating a positive learning outcome from the application process. The seed funding initiatives should require students to put time and energy into all the integrated processes to make value out of the iterativeness of the processes.

This paper extends the discussion on the additionality of receiving grants by focusing on the process of applying for a grant. This research contributes to the student entrepreneurship literature by suggesting that the design of the application process and forced reflections are important for learning, as well as specifying the antecedents for student motivation for continued entrepreneurial activity in the application process.

The purpose of this study is to examine organizational and environmental (competition, capital scarcity and organization of labor) factors that affect firms' innovation activities within the supply chain.

This study empirically examines the factors that affect firms' innovation activities using firm-level data from the last round of Business Environment Enterprise Performance Surveys (BEEPS). The analysis covers major supply chain functions: production, delivery and support systems.

The study shows that drivers of innovation vary with the type of innovation activity; as such, innovation efforts across supply chain functions should prioritize strategic resources that will create competitive advantages. Our results also reveal that sustainability efforts in the Eastern Europe and Central Asia (EECA) region should prioritize labor market reforms over capital market reforms.

Current research on innovation and supply chain issues does not explicitly analyze innovations that occur in different sustainable supply chain functions, and empirical studies that focus on the determinants of innovations in the supply chain network are very limited. The data used in this study cover 30 economies in EECA, many of which are low- and middle-income countries, and thus contribute to the implementation of sustainable practices in developing countries.

The purpose of this paper is to investigate problems in performing stable lane changes and to find a solution to reduce energy consumption of autonomous electric vehicles.

An optimization algorithm, model predictive control (MPC) and Karush–Kuhn–Tucker (KKT) conditions are adopted to resolve the problems of obtaining optimal lane time, tracking dynamic reference and energy-efficient allocation. In this paper, the dynamic constraints of vehicles during lane change are first established based on the longitudinal and lateral force coupling characteristics and the nominal reference trajectory. Then, by optimizing the lane change time, the yaw rate and lateral acceleration that connect with the lane change time are limed. Furthermore, to assure the dynamic properties of autonomous vehicles, the real system inputs under the restraints are obtained by using the MPC method. Based on the gained inputs and the efficient map of brushless direct-current in-wheel motors (BLDC IWMs), the nonlinear cost function which combines vehicle dynamic and energy consumption is given and the KKT-based method is adopted.

The effectiveness of the proposed control system is verified by numerical simulations. Consequently, the proposed control system can successfully achieve stable trajectory planning, which means that the yaw rate and longitudinal and lateral acceleration of vehicle are within stability boundaries, which accomplishes accurate tracking control and decreases obvious energy consumption.

This paper proposes a solution to simultaneously satisfy stable lane change maneuvering and reduction of energy consumption for autonomous electric vehicles. Different from previous path planning researches in which only the geometric constraints are involved, this paper considers vehicle dynamics, and stability boundaries are established in path planning to ensure the feasibility of the generated reference path.

The negotiations leading to the UN Special Session (UN General Assembly Special Session on drugs (UNGASS)) on drugs have highlighted the lack of consensus among the global players, with some strengthening the prohibitionist approach and others seeking policy reforms. The purpose of this paper is to focus on the Russian Federation’s national policies and diplomatic activism to influence the outcome of the negotiations at the multilateral level.

A systematic review of the federal legislation on drug control and the legislation on HIV/AIDS has been undertaking in October 2016. Peer-reviewed, grey literature, policy documents, UN reports and news reports were used to gather information on the country’s response to drugs internally and externally.

Despite its limited regional influence on harm reduction and declining financial power, the Russian Federation has been successful in preserving its international priorities by opposing harm reduction and maintaining the prohibition paradigm in the UNGASS outcome.

Every effort was made to identify valid sources of information on the levers of influence of the Russian Federation. Little data were available on the real outcome of the efforts deployed in influencing the BRICS and other regional and international assemblies.

This paper presents an overview of the national policies of the Russian Federation, a global player, and provides a better understanding of how the national approach to illicit drugs and their perception influences its international position. It analyses the geographic, economic and diplomatic sphere of influence of the country in drug policies, and provides explanations on the successes and shortcomings of the Russian influence at the multilateral discussions on drugs.

For most of us in the industry, and certainly the members of CEMA, 1992 could have been much better. To look back over the black spots would serve only to remind us that we are not yet out of the woods. Despite the continuing recession with its attendant gloom and despondency, the Association has had some high points during the past year.

The paper seeks to examine the impact of social exclusion on individuals' propensity to be employed and how, if employed, social exclusion affects individuals' perceived job insecurity and the likelihood of being covered by social insurance in their jobs.

Using the United Nations Development Program/United Nations Children Fund 2009 survey data from Eastern Europe and Central Asia, the paper employs comprehensive econometric methods that overcome challenges posed by endogeneity of social exclusion in labour market outcomes, self‐selection into employment, and the interdependency between perceptions of job security and social insurance coverage.

Results suggest that socially excluded individuals face hurdles in securing jobs and exhibit higher risk of job loss. Further, results suggest that a holistic educational policy could help promote social inclusion.

Formulation of policies aimed at promoting social inclusion and improved labour market outcomes should not be done in isolation; rather they should be based on a holistic understanding of the multi‐faceted nature of social exclusion.

The originality of the analysis is that it takes into account the multi‐dimensional nature of social exclusion by treating social exclusion as an outcome of a diverse set of an individual's socio‐economic characteristics that ultimately shape the way they feel about their exclusion or inclusion in their societies. This gives an indication of the types of people that are socially excluded and form the group for which a further investigation of labour market outcomes is conducted.

Within-prison drug injection (WPDI) is a particularly high HIV risk behavior, yet has not been examined in Central Asia. A unique opportunity in Kyrgyzstan where both methadone maintenance treatment (MMT) and needle-syringe programs (NSP) exist allowed further inquiry into this high risk environment. The paper aims to discuss these issues.

A randomly selected, nationally representative sample of prisoners within six months of release in Kyrgyzstan completed biobehavioral surveys. Inquiry about drug injection focused on three time periods (lifetime, 30 days before incarceration and during incarceration). The authors performed bivariate and multivariable generalized linear modeling with quasi-binomial distribution and logit link to determine the independent correlates of current WPDI.

Of 368 prisoners (13 percent women), 109 (35 percent) had ever injected drugs, with most (86 percent) reporting WPDI. Among those reporting WPDI, 34.8 percent had initiated drug injection within prison. Despite nearly all (95 percent) drug injectors having initiated MMT previously, current MMT use was low with coverage only reaching 11 percent of drug injectors. Two factors were independently correlated with WPDI: drug injection in the 30 days before the current incarceration (AOR=12.6; 95%CI=3.3-48.9) and having hepatitis C infection (AOR: 10.1; 95%CI=2.5-41.0).

This study is the only examination of WPDI from a nationally representative survey of prisoners where both MMT and NSP are available in prisons and in a region where HIV incidence and mortality are increasing. WPDI levels were extraordinarily high in the presence of low uptake of prison-based MMT. Interventions that effectively scale-up MMT are urgently required as well as an investigation of the environmental factors that contribute to the interplay between MMT and WPDI.

This paper aims to estimate the global income distribution during the nineties using limited information. In a first stage, we obtain national income distributions considering a model with two parameters. In particular, we propose to use the so-called Lamé distributions, which are curved versions of the Sigh-Maddala and Dagum distributions. The main feature of this family is that they represent parsimonious models which can fit income data adequately with just two parameters and whose Lorenz curves are characterized by only one parameter. In a second stage, global and regional distributions are derived from a finite mixture of these families using population shares. We test the validity of the model, comparing it with other two-parameter families. Our estimates of different inequality measures suggest that global inequality presents a decreasing pattern mainly driven by the fall of the differences across countries during the course of the study period that offsets the increase in disparities within countries.