Development and Application of a Methodology to Identify Projects of Energy Community Interest

Projects of Energy Community Interest” (PECIs) is a label attached to those projects which have the highest positive impact in the largest possible number of Contracting Parties. The assessment of one hundred projects submitted as candidates, and final selection of 35 PECIs was achieved in a collaborative process undertaken by the same Task Force that contributed to the preparation of the Energy Strategy. Chaired by the European Commission, the Task Force was facilitated by the Energy Community Secretariat and benefited from technical assistance of a Consultant sponsored from the Energy Community budget.

Impact assessment of increasing the 20% Greenhouse gas reduction target of the EU for Hungary (executive summary)

This study has the objective to analyse the impacts on the Hungarian economy of a higher EU GHG (greenhouse gas) reduction undertaking for 2020, namely increasing the GHG reduction target to 20% and to 30% relative to 1990. In order to achieve this objective, we quantify the costs/benefits of these increased undertakings for the various sectors of the Hungarian economy.

Preferences of Hungarian consumers for quality, access and price attributes of health care services — result of a discrete choice experiment

In 2010, a household survey was carried out in Hungary among 1037 respondents to study consumer preferences and willingness to pay for health care services. In this paper, we use the data from the discrete choice experiments included in the survey, to elicit the preferences of health care consumers about the choice of health care providers. Regression analysis is used to estimate the effect of the improvement of service attributes (quality, access, and price) on patients’ choice, as well as the differences among the socio-demographic groups. We also estimate the marginal willingness to pay for the improvement in attribute levels by calculating marginal rates of substitution. The results show that respondents from a village or the capital, with low education and bad health status are more driven by the changes in the price attribute when choosing between health care providers. Respondents value the good skills and reputation of the physician and the attitude of the personnel most, followed by modern equipment and maintenance of the office/hospital. Access attributes (travelling and waiting time) are less important. The method of discrete choice experiment is useful to reveal patients’ preferences, and might support the development of an evidence-based and sustainable health policy on patient payments.