ФОРСАЙТ СОЦІАЛЬНО-ТРУДОВОЇ МОБІЛЬНОСТІ МОЛОДІ НА ОСНОВІ ВИКОРИСТАННЯ ХАКАТОН-ЕКОСИСТЕМИ

The article discusses contemporary issues related to social and labor mobility of youth. In particular, it is observed that social and labor mobility is influenced by such factors as social order; ethnocultural stereotypes at the modern stage of social process development; system of social and moral values; changes in the employment types and patterns, a range of professions and occupational prestige in public opinion; demographic processes; regional specifics; social structure and organisation; settlement structure, etc. The study reveals that from a microenvironment perspective, the youth social and labor mobility level is primarily affected by the following group of impact factors: family, education system, immediate environment, media, territorial specifics of professional and social structure and others. The study findings demonstrate that the correlation between objective realia and microenvironment in the process of professional self-identity of an individual could be viewed as the relationship between the two external sources of shaping a person’s professional focus. To attain the research agenda, foresight technologies were employed to encourage social and labor mobility of young people. Data collection on graduates was conducted at the Kyiv National University of Technologies and Design during 2019–2020. Based on the use of the Hackathon ecosystem, this study presents a foresight on youth social and labor mobility. It is argued that such a mechanism contributes to building socioeconomic relationships between institutions, enterprises and organizations on youth social and labor mobility, applying a systematic approach to tackling the issues under consideration, developing the key areas for effective interaction, establishing socioeconomic, legal, psychological and didactic terms to coordinate their activity. The regulatory framework to manage social and labor attitudes of young people based on the University Hackathon ecosystem involves the following mechanisms: institutional (developing and implementing a regulatory framework as well as the government workforce policy), organizational (assessing the situation within the educational environment: social, household-based, psychological), economic (which covers optimality, efficiency, structuring) along with personal and motivational (insights into the demands, values, interests and motifs).

Income Diversification and Income Inequality: Household Responses to the 2013 Floods in Pakistan

In this paper we investigate the economic response of rural households to the 2013 floods in Pakistan. The case study illustrates the important roles of labor supply adjustments and income diversification in coping with climate-related risks. Using detailed household panel data that were collected before and after the 2013 floods, we find that the exposure to flood results in lower participation in farm activities. The overall effects are decreased diversification in the sources of income and ambiguous reduction in inequality which is associated with overall declines in incomes. These changes could be locked in if affected households do not have sufficient assets to resume farming. The results suggest intervention points for public policy, related to labor mobility and access to capital.

Booming with Speed: High-Speed Rail and Regional Green Innovation

Exploiting China’s high-speed rail (HSR) as a quasi-natural experiment, we examine the relationship between the HSR connection and green innovation. The opening of HSR can promote green innovation by facilitating the flow of innovation factors. Using the multiperiod difference-in-differences (DID) model, we find that the regional green innovation performance significantly becomes better following the opening of HSR in the local city. Moreover, in examining the specific mechanisms at work, we find evidence that HSR stimulates green patents through increased labor mobility and research capital mobility. Further analyses show that the facilitating effect of HSR is heterogeneous among cities. Our paper sheds new light on the effects of HSR on social welfare in the case of sustainable economy.

Trends in employment in the context of transformations of the economy of Russia's Far East

Subject. This article examines the changes in employment of the population of the Russian Far East since the early 1990s. Objectives. The article aims to identify the specifics of the processes that are taking place in the regional labor market, and assess the scale and direction of labor mobility. Methods. For the study, we used a statistical analysis. Results. The article describes the features of the transformation of employment of the population of the Russian Far East in the initial period of the formation of market relations and at the present stage of economic development. It shows structural shifts in the regional labor market and assesses the impact of the growth of investment activity on labor mobility. Conclusions. The territorial features of the region have led to the development of significant deviations in the functioning of the labor market and in the structure of employment.

SECTORAL LABOR MOBILITY AND OPTIMAL MONETARY POLICY

How should central banks optimally aggregate sectoral inflation rates in the presence of imperfect labor mobility across sectors? We study this issue in a two-sector New-Keynesian model and show that a lower degree of sectoral labor mobility, ceteris paribus, increases the optimal weight on inflation in a sector that would otherwise receive a lower weight. We analytically and numerically find that, with limited labor mobility, adjustment to asymmetric shocks cannot fully occur through the reallocation of labor, thus putting more pressure on wages, causing inefficient movements in relative prices, and creating scope for central bank’ s intervention. These findings challenge standard central banks’ practice of computing sectoral inflation weights based solely on sector size and unveil a significant role for the degree of sectoral labor mobility to play in the optimal computation. In an extended estimated model of the US economy, featuring customary frictions and shocks, the estimated inflation weights imply a decrease in welfare up to 10% relative to the case of optimal weights.