Szerző szerinti böngészés "Szabo, Tamas"

Megjelenítve 1 - 2 (Összesen 2)
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    TételSzabadon hozzáférhető
    A JÓLLÉT ÉS A HÁZTARTÁSI HULLADÉK KAPCSOLATÁNAK VIZSGÁLATA A MAGYAR TELEPÜLÉSSZERKEZET KONTEXTUSÁBAN
    (2023-11-23) Szabo, Tamas; Végh, Szilárd
    In recent years, the circular economy has become an important objective of the environmental protection and economic policy of the European Union. As part of this, waste processing and disposal has a cardinal feature due to the reduction of the environmental load, in the same way, the trends of the consumer society pose a serious challenge to the reduction of the environmental load. The present study looks for the answer to what kind of relationship can be identified between the generated waste, the solvent demand and the concentration of residential health by analyzing the generated household waste and individual welfare indicators. To establish this, the authors use concepts accepted and applied in international statistical life, as well as statistical tests performed on primary data.
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    TételSzabadon hozzáférhető
    Társadalmi újratermelődés kérdései a magyar aprófalvakban
    (2024-03-20) Szabo, Tamas
    The problem depopulated settlements, which can be traced back to a lack of social reproduction, is not only a Central European phenomenon. Trends in the value and extent of consumer society are driving developing and developed societies, one of the indirect results of which is the aging population of villages and the depletion of endogenous resources in the affected settlements. With this, these settlements lose their most important competitiveness potential, their population retention power.  In many cases, the economic vacuum found in small-village areas and the declining population further strengthen the process, which has a restrictive effect on the range of public service tasks, thus further worsening the opportunities of those living in the area. The study examines the economic and social potential of small villages using descriptive and complex statistical methods.