The way people perceive contact with nature may impact their environmental attitudes and psychological well-being (WB). Nature relatedness (NR) refers to the affective, cognitive, and experiential aspects of individuals’ connection to nature. The aim of the presented research concentrates on the assessment of the relationship between well-being, self-control and connectedness with the natural environment. The data was collected via online questionnaire between March and April 2022. In the study, we combined descriptive statistics with analysis of variance. We also quantitatively assessed correlations between major components of NR scale and psychological WB across men’ and women’ inquires. The results showed that there is a statistically significant relationship between the general index of NR and overall psychological WB. Furthermore, correlation between specific aspects of NR and WB subscales were also observed. These interactions are considerable among both men and women. We have also identified a major correlation between NR and self-control, which indicates the link between the way a person approaches oneself and natural environment. Finally, the analysis provides evidence that women are on average more related to nature, although the men may benefit more from this kind of relationship. Further gender differences could be observed in terms of nature-relatedness perspective component, general self-control, score and overall NR score These relationships are highly vital among men while irrelevant among women.
Recreational activity undertaken within urban green spaces (UGS) is an action that could be self-governed and self-regulated by a given person under the pressure of COVID-19. We aimed to identify the factors that induce or reduce the frequency of recreational activity during the COVID-19 pandemic. These factors were explored among two distinct fields: (1) demographic variables and (2) stress-coping strategies. The former is associated with a body of literature on socioeconomic determinants of physical activity. The latter is derived from psychological studies on coping responses to problems. In this paper, we present an interdisciplinary perspective on human recreational activity during the pandemic. We collected information on stress-coping strategies and the patterns of urban green recreation among 376 prime-age Polish adults with different places of residence. We observed that people who use forests daily had higher scores of acceptance as a coping strategy than people using green spaces only on weekends. As choosing acceptance as a coping strategy is typical for those who consider their situation to be irreversible, green recreation may help to acclimate individuals to stressful situations that cannot be easily changed or controlled, which is the case for the pandemic. Moreover, we found that active coping, as well as avoidant coping, were predictors of increased use of green spaces during the pandemic. This conclusion affirms that green recreation as a form of reducing COVID-19-induced stress is associated with the dual nature of coping (active and avoidant). Further research is necessary to better understand of motivation to use urban green recreation, especially when practiced as a method of strengthening mental health.
In this paper, an agent-based search and matching (ABSAM) model of a local labor market with heterogeneous agents and an on-the-job search is developed, i.e. job seekers who vary in unemployment duration, skills levels and preferences compete for vacancies which differ for skills demands and the sector of the economy. Job placement agencies help unemployed persons find appropriate job vacancies by improving their search effectiveness and by sharing job advertisements. These agents cooperate in an artificial labor market where the key economic conditions are imposed. The interactions between the participants are drawn directly from labor market search theory. The main research task was to measure the direct and indirect impacts of labor market policies on labor market outcomes. The global parameters of the ABSAM model were calibrated with the Latin hypercube sampling technique for one of the largest urban areas in Poland. To study the impact of parameters on model output, two global sensitivity analysis methods were used, i.e. Morris screening and Sobol indices. The results show that the job placement agencies' services, as well as minimum wage and unemployment benefits, considerably interact with and influence unemployment and longterm unemployment ratios, wage levels, duration of periods of unemployment, skills demand, and worker turnover. Moreover, strong indirect effects were detected, e.g. programs aimed at one group of job seekers affected other job seekers and the whole economy. This impacts are sometimes positive and sometimes negative. JEL C63 C69 J48 J63 J64
The aim of this study is to apply the stochastic job search framework to the analysis of three transition economies (Poland, Hungary, and the Czech Republic). Two versions of equilibrium unemployment models have been developed resembling Mortensen and Pissarides' models, namely the dynamic and stochastic models. The dynamic model's properties were briefl y examined by evaluating the Jacobian matrix and plotting the phase plane of the economy. In the primary analysis of the stochastic model, job destruction decisions are endogenous as a response to random productivity changes. A martingale, i.e. a discrete-space version of the geometric Brownian motion with the drift and volatility parameter, was used to enable fl uctuation of endogenous variables and to perform numerical simulations. The results are promising, although ambiguous in some points, e.g. the main model-generated time-series are close to the empirical time-series, including reasonable fl uctuations, correlation signs, and autocorrelations. However, the model was unable to capture some subtle differences in productivity and job destruction rate series across the countries, which is its main limitation.
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