In 2017, Chile enacted new legislation allowing access to legal abortion on three grounds, including rape. This article summarizes a qualitative, exploratory study that examined the role of primary healthcare services in the treatment of rape survivors in order to identify challenges and strengths in accessing legal abortion. The relevant data was collected through 19 semi-structured interviews conducted with key informants. The angry legislative debate that preceded enactment of the 2017 abortion bill evidenced the presence of strong biases against survivors of sexual violence. At the time, abortion opponents sought, inter alia, to discredit women who report rape, arguing that such claims would be misused to secure illicit abortions. In actual fact, however, rape has turned out to be the least used of all grounds for abortion, with girls and teens making up the smallest group of seekers. This article presents our findings on rape-related issues, notably the biases and shortcomings of medical practitioners regarding the new abortion law. We noted with concern their failure to screen for sexual violence and propensity to stigmatize the victims, a phenomenon that becomes exacerbated when it involves particularly vulnerable populations, such as girls and women who are poor, homeless, migrant, or who abuse alcohol or drugs. We further noted that prevalent stereotypes based on the notion of the ideal victim can revictimize girls and women and work to defeat the intent of the law. In Chile, the primary healthcare system is a key point of entry for abortion. In this highly charged arena, however, lack of political will, compounded by the COVID-19 pandemic, have kept health care practitioners from undergoing timely, gender-sensitive training on the new law, a key requirement for ensuring dignified care and respect for women’s rights. We conclude that if government policy is to prevent multiple, intersectional discrimination, it must recognize the diversity of women and adapt to their specific contexts and singularities.
Machine building is a leading industry in advanced countries. It provides many industries with machines and equipment as it is the main link in the system of intersectoral linkages. Innovations in engineering create the basis for increasing production and qualitative changes in the structure of industry, that creates a synergistic effect for the economy as a whole. Thus, it secures full employment for highly skilled employees, promotes the growth of the level of educational background of the population and contributes to the development of the scientific and technological potential of the country. However, underinvestment in innovation technologies and processes, a limited character of the import substitution model and an insufficient support of the export model greatly hinder rapid and effective development of the machine-building industry. Specific peculiarities of the machine building development such as R&D intensity, labor intensity, and the intensity of metal use, the need in cooperation and consumer orientation influence their geographic location. Despite the decline in the number of enterprises and employment in the machine-building industry, the industry’s contribution to the GVA is stable. At the same time, the state’s interest in the development of all sectors with high added value will influence the future of engineering. In statistics innovative activity in mechanical engineering began to be considered relatively recently. The highest rates of innovation are high-tech engineering. The state’s share in supporting innovation in both manufacturing and engineering is increasing. The coefficients of specialization are calculated for all Federal districts and each of the 85 subjects of the Federation for the period from 2007 to 2017. Calculations were carried out for all types of economic activity, according to the classifier of OKVED. The specialization industries for each of the regions are identified. The group of regions where engineering is concentrated is defined. These 19 regions did not change their industry of specialization during the analyzed period from 2008 to 2017.
The purpose of the study is to analyze the features of the economic development of Russian regions under the influence of various socio-economic factors and the differentiation of region groups depending on the implementation of state regulation of economic activity measures in them during the pandemic period. The analysis was carried out using statistical methods (primarily methods of statistical groupings and correlation-regression analysis). The conceptual and methodological principles for assessing changes in economic activity in Russian regions after the introduction of restrictive measures of different levels of severity are outlined based on the study of Russian and foreign scientific publications on the issues under consideration. A regression model uses to identify the influence of the studied factors. To identify the impact of the studied factors, the authors built a regression model that included the following statistical indicators: index of industrial production, unemployment rate, share of the urban population, share of the region's gross value added (GVA), number of small and medium-sized enterprises (excluding micro-enterprises) per 10,000 population, share of the region in the production of all Russian mining enterprises, region openness coefficient, average per capita monetary income of the population, poverty level. The final part of the article presents the results of the study indicating that pandemic restrictions, depending on the degree of their severity, had a different impact on the economy of the regions. The authors emphasize the heterogeneity of changes in the factors determining the economic activity of regions under the influence of restrictive measures on the part of governments, particularly regional authorities.
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