Maximizing the Efficiency of Greenhouse Gas Related Consumer Policy

Consumer policy approaches regarding green products and solutions can be differentiated by their main focus. “Green positioning” is basically targeted at environmentally aware consumers, while “efficiency-focused positioning” concentrates on the efficiency gain of the product or solution, targeting the whole society, regardless of consumers' environmental awareness. The paper argues that the scope and total environmental benefit can be increased if green products or solutions are promoted in different ways, not only as “green” but also based on other arguments (like cost-efficiency, return on investment, etc.). The paper suggests a model for improving the efficiency of greenhouse gas (GHG)-related consumer policy. Based on the marginal social cost curve and the marginal private cost curve, different (green, yellow, and red) zones of action are identified. GHG mitigation options chosen from those zones are then evaluated with the help of profiling method, addressing the barriers to implementation. Profiling may help design an implementation strategy for the selected options and make consumer policy more effective and acceptable for mass market. Case study results show three different ways of positioning of GHG-related consumer policy in Hungary from 2000 and give practical examples of profiling, based on the latest marginal social cost curve and the contemporary energy saving policy of the state regarding the residential sector.

Maximizing the Efficiency of Greenhouse Gas Related Consumer Policy

Consumer policy approaches regarding green products and solutions can be differentiated by their main focus. “Green positioning” is basically targeted at environmentally aware consumers, while “efficiency-focused positioning” concentrates on the efficiency gain of the product or solution, targeting the whole society, regardless of consumers' environmental awareness. The paper argues that the scope and total environmental benefit can be increased if green products or solutions are promoted in different ways, not only as “green” but also based on other arguments (like cost-efficiency, return on investment, etc.). The paper suggests a model for improving the efficiency of greenhouse gas (GHG)-related consumer policy. Based on the marginal social cost curve and the marginal private cost curve, different (green, yellow, and red) zones of action are identified. GHG mitigation options chosen from those zones are then evaluated with the help of profiling method, addressing the barriers to implementation. Profiling may help design an implementation strategy for the selected options and make consumer policy more effective and acceptable for mass market. Case study results show three different ways of positioning of GHG-related consumer policy in Hungary from 2000 and give practical examples of profiling, based on the latest marginal social cost curve and the contemporary energy saving policy of the state regarding the residential sector.

Modeling the Impacts of Climate Change on Phytogeographical Units. A Case Study of the Moesz Line

Regional climate models (RCMs) provide reliable climatic predictions for the next 90 years with high horizontal and temporal resolution. In the 21st century northward latitudinal and upward altitudinal shift of the distribution of plant species and phytogeographical units is expected. It is discussed how the modeling of phytogeographical unit can be reduced to modeling plant distributions. Predicted shift of the Moesz line is studied as case study (with three different modeling approaches) using 36 parameters of REMO regional climate data-set, ArcGIS geographic information software, and periods of 1961-1990 (reference period), 2011-2040, and 2041-2070. The disadvantages of this relatively simple climate envelope modeling (CEM) approach are then discussed and several ways of model improvement are suggested. Some statistical and artificial intelligence (AI) methods (logistic regression, cluster analysis and other clustering methods, decision tree, evolutionary algorithm, artificial neural network) are able to provide development of the model. Among them artificial neural networks (ANN) seems to be the most suitable algorithm for this purpose, which provides a black box method for distribution modeling.

A fenntartható fejlődéssel foglalkozó nemzetközi együttműködés négy évtizede (Four Decades of International Cooperation on Sustainable Development)

Along with the recognition of the increasing environmental and social problems stemming from globalization, the need to address these problems and to develop the relevant international framework has strengthened since the 1970s. The scope of this cooperation gradually broadened and eventually it embraced all issues, which were considered to be critical for sustainable development. The summits on sustainability, namely, the UN Conference on Environment and Development in 1992, the “Rio+5” in 1997 and the World Summit on Sustainable Development in 2002, wished to respond to all unsustainable processes by adopting, reinforcing and expanding a global program. This program is based on a series of important principles and includes various goals and instruments adopted by consensus; however, it also reflects delicate compromises between development related aspirations and environmental barriers, and also between the developed and the developing countries. Actually, there is a serious implementation gap and there are also new challenges. Referring to these problems, the idea of convening an extraordinary summit in 2012 was raised and it was eventually adopted but with a rather narrow mandate and agenda. It turned out that besides the “usual” conflicts between the developed and developing countries e.g. upon the common but differentiated responsibilities or international development financing, there were also diverting views on the green economy and on the ways of institutional strengthening of the international sustainable development and environmental governance. As a consequence, the 2012 Conference concluded with rather modest results.

Formalization of the informal venture capital market - Business angel networks and syndicates

Business angels are natural persons who provide equity financing for young enterprises and gain ownership in them. They are usually anonym investors and they operate in the background of the companies. Their important feature is that over the funding of the enterprises based on their business experiences they can contribute to the success of the companies with their special expertise and with strategic support. As a result of the asymmetric information between the angels and the companies their matching is difficult (Becsky-Nagy – Fazekas 2015), and the fact, that angel investors prefer anonymity makes it harder for entrepreneurs to obtain informal venture capital. The primary aim of the different type of business angel organizations and networks is to alleviate this matching process with intermediation between the two parties. The role of these organizations is increasing in the informal venture capital market compared to the individually operating angels. The recognition of their economic importance led many governments to support them. There were also public initiations that aimed the establishment of these intermediary organizations that led to the institutionalization of business angels. This study via the characterization of business angels focuses on the progress of these informational intermediaries and their ways of development with regards to the international trends and the current situation of Hungarian business angels and angel networks.