Mineral resources are life and driving force of the European Union. It is gaining awareness not only in the EU dependent on imports, but also in the world. In the context of the growing population and the growing demands of economies for natural resources, this type of material management has a significant negative impact on the environment. The main aim of the study was to justify the model of circular economy on the national level, based on the disparities between the regions of Slovak republic. To meet the objective, mostly one-factor analysis was implemented. The circular model, which is based on the partial replacement of primary raw materials by secondary ones, should, on the one hand, limit the depletion of natural resources and, on the other hand, reduce the amount of waste produced. The presented work focuses on the issue of sustainable development, which is closely related to the circular economy, and then explains the circular economy model, including the differences from the linear arrangement and possible obstacles to its implementation for the specific conditions of the Slovak republic. From the results, it is clear that the proposed circular model would be helpful to improve the inefficiencies and disparities on the regional and national level.

The rising prevalence of overweight and obesity and their health implications is a major public health concern worldwide. This study set out to understand the relationship between the number of hours spent watching television and Body Mass Index (BMI) in the Kingdom of Saudi Arabia using data from the Saudi Health Interview Survey.
The study employed both ordinary least squares and quantile regressions to estimate the mean and distributional association of prolonged television watching and BMI.
The findings showed that prolonged television viewing is associated with larger BMI values. Additionally, the relationship was found to be greater towards the lower and upper tails of the BMI range and insignificant in the middle of the BMI distribution. Furthermore, the findings also showed that there is a gender gap in BMI levels, where females are likely to have higher BMI values than males.
The creation of more proactive recreational programs that can act as substitutes to television watching is recommended in order to reduce the amount of time that individuals spend watching television. It is also recommended that such interventions are tailored towards improving females\' levels of physical activity. The inclusion of television programs aimed at encouraging physical exercise and healthy diets is also imperative.

There is few significant attempt to integrate environmental regulation, government financial support, and corporate technological innovation in a methodological framework. Employing the data of the industrial enterprises with an annual turnover of over 20 million yuan from 30 Chinese provinces or municipalities between 2008 and 2016, this paper applies the fixed effect regression model to reveal the relationships between environmental regulation, government financial support, and corporate technological innovation simultaneously. Results show that: (1) there exists a U-shaped relation between environmental regulation intensity and technological innovation of enterprises which declines first and then climbs up, and China is still at the stage of inhibition before the \"inflection point\". (2) government financial support does not significantly work on technological innovation directly, but environmental regulation drives this effect to be achieved; when the value of lnER is higher than 3.69, government financial support can significantly facilitate corporate technological innovation. (3) the comparison between regional samples reveals that heterogeneity exists in the influence of environmental regulation intensity and government financial support on corporate technological innovation. The threshold value of enabling effects of environmental regulation in eastern region is higher than that of the central and western region. These results remain consistent after we experiment several robustness checks. Theory and policy implications of our work are discussed.

The societal burden of opioid use disorder (OUD) is considerable and contributes to increased healthcare costs and overdose deaths. However, the burden is not well understood. The purpose of this analysis is to estimate the state Medicaid programs\' costs for treating OUD and how these costs have changed over time. We used data from the Medicaid Analytic eXtract files from 17 states between 1999 and 2013 to examine the healthcare costs associated with OUD. Inpatient, outpatient, and prescription medication costs related to the treatment of OUD were included, as were excess costs for other healthcare services (eg, general medical care) for individuals with OUD relative to a comparison group of individuals without OUD matched on age, sex, and state. We then extrapolated our results to the entire US Medicaid population using population-based sample weights. All costs were adjusted for inflation and are reported in 2017 US dollars. During our study period, the number of patients who were diagnosed with OUD increased 378%, from 39,109 (0.21% of total Medicaid enrollment) in 1999 to 186,979 (0.60% of total Medicaid enrollment) in 2013 in our 17-state sample. Even after adjusting for inflation, total Medicaid costs associated with OUD more than tripled during this time, reaching more than $3 billion in 2013, from $919 million in 1999. Most of this growth was due to excess non-OUD treatment costs for patients with OUD, which increased 363% over the period; the rate of growth is triple the expenditures for OUD treatment services. When the results were extrapolated to the entire United States, the Medicaid costs associated with OUD increased from more than $2 billion in 1999 to more than $8 billion in 2013. The total cumulative costs that were associated with OUD for this extrapolated 50-state sample over a 15-year time period amounts to more than $72.4 billion. OUD imposes considerable financial burden on state Medicaid programs, and the burden is increasing over time.

It is widely recognized that increasing agricultural production to the levels needed to feed an expanding world population requires sharply increased public investment in research and development and widespread adoption of new technologies, but funding for national and international agricultural research has rather declined in recent years. In this situation, priority setting has become increasingly important for allocating scarce research resources among competing needs to achieve greater impacts. Using partial equilibrium economic surplus models and poverty impact simulations, this paper assesses cassava research priorities in Africa, Latin America and Caribbean, and Asia based on the potential economic and poverty reduction impacts of alternative research and technology options. The results showed that efficient planting material production and distribution systems and sustainable crop and soil fertility management practices have the greatest expected economic and poverty reduction impacts in the three regions. Lack of clean planting materials is a major constraint to adoption and it is envisaged that efficient production and distribution systems for planting material can accelerate technology adoption by farmers. Similarly, sustainable crop and soil fertility management practices play a key role in closing the observed yield gaps, especially in Africa. The paper discusses the results of the priority assessment for key cassava research options and concludes with the implications for cassava research priorities.

A key step in evaluating the cost-effectiveness of diagnostic genome-wide sequencing (GWS) services is to measure the cost of prior and subsequent diagnosis-related health care resource utilization by patients. The majority of patients using diagnostic GWS services are children, and parental surveys are often used to complement utilization data abstracted from medical records. The objective of this study was to evaluate the validity of parental reports for children with very high levels of resource utilization.
Primary caregivers of children enrolled in the CAUSES Research Clinic, a diagnostic GWS programme at B.C. Children\'s Hospital, completed an online survey. Parent-reported health care encounters for the 6-month period prior to survey completion were compared to utilization data abstracted from electronic medical records (EMR). The association between demographic characteristics and the probability of survey completion was tested using logistic regression. Agreement between parent-reported and EMR data was evaluated using Cohen\'s kappa, prevalence- and bias-adjusted kappa (PABAK), and the intraclass correlation coefficient (ICC).
There were no major differences in demographic characteristics or resource utilization levels between families that completed the survey and those who did not. Agreement between parental reports and EMR data was high for hospitalizations (κ = 0.71; PABAK = 0.89; ICC = 0.77) but lower for outpatient physician visits (κ = 0.21; PABAK = 0.48; ICC = 0.27).
Parental surveys are a valuable tool for estimating health care resource utilization during a 6-month recall period for children with suspected genetic disorders but are best used to complement utilization data collected from other sources.

The problem of sample selection complicates the process of drawing inference about populations. Selective sampling arises in many real world situations when agents such as doctors and customs officials search for targets with high values of a characteristic. We propose a new method for estimating population characteristics from these types of selected samples. We develop a model that captures key features of the agent\'s sampling decision. We use a generalized method of moments with instrumental variables and maximum likelihood to estimate the population prevalence of the characteristic of interest and the agents\' accuracy in identifying targets. We apply this method to tuberculosis (TB), which is the leading infectious disease cause of death worldwide. We use a national database of TB test data from South Africa to examine testing for multidrug resistant TB (MDR-TB). Approximately one quarter of MDR-TB cases was undiagnosed between 2004 and 2010. The official estimate of 2.5% is therefore too low, and MDR-TB prevalence is as high as 3.5%. Signal-to-noise ratios are estimated to be between 0.5 and 1. Our approach is widely applicable because of the availability of routinely collected data and abundance of potential instruments. Using routinely collected data to monitor population prevalence can guide evidence-based policy making.

EQ-5D is used in cost-effectiveness studies underlying many important health policy decisions. It comprises a survey instrument describing health states across five domains, and a system of utility values for each state. The original 3-level version of EQ-5D is being replaced with a more sensitive 5-level version but the consequences of this change are uncertain. We develop a multi-equation ordinal response model incorporating a copula specification with normal mixture marginals to analyse joint responses to EQ-5D-3L and EQ-5D-5L in a survey of people with rheumatic disease, and use it to generate mappings between the alternative descriptive systems. We revisit a major cost-effectiveness study of drug therapies for rheumatoid arthritis, mapping the original EQ-5D-3L measure onto a 5L valuation basis. Working within a comprehensive, flexible econometric framework, we find that use of simpler restricted specifications can make very large changes to cost-effectiveness estimates with serious implications for decision-making.

This paper uses the Bhutan Living Standards Survey 2012 to assess factors that affect the decision to use outpatient care when ill, outpatient utilization choice, and bypassing decision. Our attention is placed on geographical factors because of the unique geographical landscape in Bhutan, which may act as an important barrier for access to care in the country. We further analyze the pattern of multiple healthcare visits of individuals with the same health symptom. The methods employed for this study consist of binary logit and multinomial logit regressions as well as descriptive statistical approach. The results show that living in rural area, longer travel time, and residing in remote area reduce the chance of receiving formal care when ill, and among those who get formal treatment, these factors lead to higher tendency of visiting primary healthcare facilities and less propensity of getting care from secondary and tertiary providers. We also find that people with lower economic status have less access to care than their richer counterparts. By investigating the pattern of multiple outpatient visits, our analysis reveals incidence of bypassing primary care to higher level of care in Bhutan. There is also evidence of moving up to higher level of care during subsequent visits but in general people are very persistent in their provider choice.

This research had two purposes. The first aim was to identify Iranian and Non-Iranian rice consumers based on demographic characteristics and examine difference of these features with buying behaviors. The second purpose of study was to investigate consumer\'s motivation to buy local rice in Iran. The sample were 1500 people (men and women). The data was collected by using questionnaire based on a face-to-face survey. Chi-square, confirmatory factor analysis, and multiple linear regression were applied to assess collected data by a questionnaire survey. Regarding Iranian local rice buyers, 884 people buy local rice. Chi-square test showed that there is a significant difference between gender, having children, and marital status in buying local rice. Habitual Iranian local rice buyers include: female (51%), people who are more than 45 years old (51%), people with children (63%), people who are living urban (61%), married people (48%) and individuals that their monthly income is between 321.5 and 625 Dollars (53%). Regarding non-Iranian rice buyers, 616 people buy it. Also there is a significant difference between gender, location, marital status, and income in buying local rice. For considering consumers motivation toward buying local rice the econometrical model is used. Model had three aspects including; quality aspects (taste, good appearance), economic aspects (price, convenience, consumer\'s ethnocentrism), and safety aspects (health, not using pesticides and environment protection) and seven subset. The results of analysis indicated that quality aspects, economic aspects and safety aspects have positive effects on buying Iranian local rice. Also, indicative variables including; taste, good appearance, price, convenience, consumer\'s ethnocentrism, health, not using pesticides and environment have significant effects on buying it.