9 resultados para Ecological zoning
em Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest
Resumo:
A tanulmányban országok környezetterhelését és jóllétét vizsgáljuk. A környezetterhelést vizsgáló klasszikus I = PAT azonosság célszerű átrendezésével és továbbgondolásával két térképet szerkesztünk, amelyek egy véges, korlátozott erőforrású világban segítik a stratégiai döntéshozatalt. A térképek adatait a bruttó hazai termék, az ökológiai lábnyom, illetve a szubjektív jóllét mutatói szolgáltatják, ezek az információk a világ országaira ma már széles körben rendelkezésre állnak. Bemutatjuk a gazdasági tevékenység és a szubjektív jóllét kapcsolatát, s az erre épülő 12 stratégiát, majd a szűkös természeti erőforrásokkal számot vető újabb 12 stratégialehetőséget tárgyaljuk. A gazdasági tevékenységet, a környezeti korlátokat és az emberi boldogságot egyszerre szem előtt tartó modell alapján nyilvánvaló a makroszintű következtetés: napjainkban a gazdasági tevékenység, illetve az emberi jóllét dematerializációja szükséges és kívánatos célkitűzés /===/ The study examines countries' ecological footprint and welfare. Rearranging and developing the classic I = PAT equation, the author has devised two maps to assist strategic decision-making in a world of finite, limited resources. The data on the maps – GDP, ecological footprint, and subjective welfare indices – are all widely available all over the world. The relation between economic activity and subjective welfare is presented and twelve strategies built upon them, before discussing twelve further strategies based on scarce natural resources. Using a model that considers economic activity, environmental constraints and human happiness concurrently, it becomes obvious that dematerialization of economic activity and human welfare are a necessary and desirable objective.
Resumo:
The Leontief input-output model is widely used to determine the ecological footprint of consumption in a region or a country. It is able to capture spillover environmental effects along the supply change, thus its popularity is increasing in ecology related economic research. These studies are static and the dynamic investigations are neglected. The dynamic Leontief model makes it possible to involve the capital and inventory investment in the footprint calculation that projects future growth of GDP and environmental impacts. We show a new calculation method to determine the effect of capital accumulation on ecological footprint. Keywords: Dynamic Leontief model, Dynamic ecological footprint, Environmental management, Allocation method
Resumo:
Expanded understanding of the trends and determinants of food consumption is needed to reduce the ecological impacts of the contemporary agro-food system while also being attentive to broader issues pertaining to health and the environment. Incorporating these additional aspects and formulating meaningful dietary recommendations is a major challenge. This article seeks to highlight differences in ecological footprint (EF) by activity level for various so-cial groups to meet suggested physiological requirements by nutritionists versus actual food consumption. The study is based on a combination of healthy diet requirements (as expressed by national guidelines) and a survey of a repre-sentative sample of 1,013 Hungarian adults using a bottom-up approach for calculating EFs. Students and women with small children have a higher than average food-related EF due to their higher nutritional needs. At the same time, the elderly are characterized by lower footprints. Perhaps most interesting is our finding that people with seden-tary forms of employment have higher food footprints than those with jobs that require physical labor. We offer rec-ommendations for food-policy planning based on encouraging dietary changes for individuals, differentiated by the nature of their work. The research suggests that dietary policy that improves health often has environmental benefits.
Resumo:
In this paper five different models, as five modules of a complex agro-ecosystem are investigated. The water and nutrient flow in soil is simulated by the nutrient-in-soil model while the biomass change according to the seasonal weather aspects, the nutrient content of soil and the biotic interactions amongst the other terms of the food web are simulated by the food web population dynamical model that is constructed for a piece of homogeneous field. The food web model is based on the nutrient-in-soil model and on the activity function evaluator model that expresses the effect of temperature. The numbers of individuals in all phenological phases of the different populations are given by the phenology model. The food web model is extended to an inhomogeneous piece of field by the spatial extension model. Finally, as an additional module, an application of the above models for multivariate state-planes, is given. The modules built into the system are closely connected to each other as they utilize each other’s outputs, nevertheless, they work separately, too. Some case studies are analysed and a summarized outlook is given.
Resumo:
Magyarországi fogyasztókról még nem készült olyan reprezentatív felmérés, amely az élelmiszer-fogyasztás környezetterhelését az ökológiai lábnyommal mérve számszerűsítette. A szerző kutatásában az élelmiszer- fogyasztásból származó ökológiai lábnyomot számszerűsítette és elemezte a magyar felnőtt lakosság körében. A cikkben először bemutatja a fenntartható élelmiszer-fogyasztás szakirodalomban található definícióit, majd a fenntartható és egészséges élelmiszer-fogyasztás mátrixát elemzi. Az elméleti áttekintést követően az empirikus kutatás eredményeinek ismertetése következik. ____ In her research the author quantified and analysed the ecological footprint from food consumption in the Hungarian adult population. In the article she presents the definitions of sustainable food consumption in the literature, and then analyses the matrix of sustainable and healthy food consumption. Following a theoretical overview the author presents the results of her empirical research.
Resumo:
Nowadays we meet many different evaluation methods regarding the ecological performance of green surfaces and parks. All these methods are extremely valuable in determining how well a green surface performs from ecological aspect and to what extent the environment were damaged if these sites would be built or would be developed any other way causing reduction of green surfaces. The goal of the article is to clarify the differences between two evaluation methods (GSI – Green Space Intensity, BARC – Biological Activity Rate Calculation) suitable for urban green infrastructure analysis and to see if any significant difference can be observed evaluating the same site by these methods. Our research sites are in Budapest and their sizes vary between 2,5-8 acres. The most important aspects of site analysis are the following: size and boundaries of the park, existence or lack of water features, the characteristics of their surfaces and the complexity of vegetation. We summarize the data of the site analysis in tables, make a summarizing diagram for visual representation and draw conclusions from the results. As a final step, we evaluate how these two evaluation systems relate to urban open space developments.
Resumo:
The official cooperation between the Hungarian and the Belarusian geography began to be outlined in a sunny afternoon of June 2010 in the Minsk building of the Geographic Faculty of the Belarusian State University, four years ago. Then we reviewed the potential frames of cooperation with Professor Ekaterina Antipova. It was supported by the academican Károly Kocsis, member of the Hungarian Academy of Sciences, director of the Geographical Research Institute, and we could also win the support of the dean Ivan Pirozhnik and the academician Vladimir Loginov from the Belarusian State University and the National Academy of Sciences of Belarus, respectively. This informal cooperation became official in the autumn of 2010 in the frame of the Academic Mobility Agreement Project between the Hungarian and the Belarusian academies of sciences. Since then several publications have appeared about Hungary and Belarus in the geographic journals of both countries, however, this is the first, long awaited, significant common publication. Besides the project-based co-operations like e. g. the EastMig (www.eastmig.mtafki.hu) and the ReSEP-CEE (www.mtafki.hu/ReSEP_CEE_Be.html) supported by the Visegrad Fund, a vivid student exchange program was also launched from the autumn of 2010 between the Geographic Research Institute of the Hungarian Academy of Sciences, and the Geographic Faculty of the Belarusian State University with the scholarship program of the Visegrad Fund. Later the Department of Economic Geography of the Corvinus University of Budapest, headed by István Tózsa became also an active partner of the cooperation. The publishing expenses of this book are also fully financed by the Department of Economic Geography.