Megjelent a "Generációs megújulás gazdaságátvevő támogatásával" című pályázati felhívás, amely keretében akár 20 millió forint támogatás igényelhető.
VIENNA/HELSINKI, 1 September 2025 - The OSCE Chairperson-in-Office, Foreign Minister of Finland Elina Valtonen, and OSCE Secretary General Feridun H. Sinirlioğlu welcome the adoption of a Ministerial Council decision closing the Minsk process and related structures following a Joint Appeal from Armenia and Azerbaijan.
“I would like to once again extend my warmest congratulations to Armenia and Azerbaijan on their historic agreements towards peace and normalization of relations and their resolute decision to start their prompt implementation. I have responded without delay to their Joint Appeal and would like to express my sincere appreciation to the parties for their excellent co-operation in the process. I also would like to commend participating States for their collaborative spirit in achieving this consensus,” said Minister Valtonen.
This Ministerial Council decision follows the 8 August Joint Declaration signed in Washington D.C by Prime Minister of Armenia Nikol Pashinyan and President of Azerbaijan Ilham Aliyev and witnessed by U.S. President Donald J. Trump. The Ministerial Council decision was adopted by consensus of all 57 OSCE participating States.
“This is a historic development that underlines what diplomacy can achieve, even after decades of conflict and mistrust. It demonstrates that agreement remains possible when there is a shared determination between parties to find common ground,” said Secretary General Sinirlioğlu.
The OSCE Chairperson-in Office and OSCE Secretary General reaffirmed their unwavering commitment to supporting efforts that bring lasting peace and stability to Armenia, Azerbaijan and the wider region.
Following the adoption of this decision, the OSCE will take steps to implement the closure of the Minsk Process and its related structures. Only administrative functions, such as the handover of assets and equipment, will continue until the process is completed no later than 1 December 2025.
Development is a complex phenomenon that involves economic, social, and environmental transformations. In recent decades, sustainable development (SD) has gained prominence as a policy objective, emphasizing balanced progress in economic growth, social inclusion, and environmental protection. However, measuring SD progress remains challenging, given the need to consider such multiple dimensions, which often show trade-offs; this is especially true in developing countries such as Peru, where rapid socioeconomic changes coexist with environmental degradation. Traditional metrics, such as GDP or composite indicators such as the Human Development Index, often fail to capture the multidimensional and dynamic nature of SD, especially in terms of the environmental side. This paper employs a multivariate latent Markov model (LMM) to assess Peru's progress toward SD from 2004 to 2017, incorporating economic, social, and environmental indicators. LMMs are advantageous, as they account for unobserved heterogeneity and state transitions between sustainability levels over time, offering a nuanced understanding of SD dynamics. Our findings reveal that while Peru experienced economic and social improvements during the study period, the inclusion of environmental factors in the SD measure curbs overall progress, highlighting potential trade-offs between poverty reduction and environmental quality. The results underscore the importance of integrating environmental considerations into SD strategies, particularly in the context of rapid economic growth. This study contributes methodologically by applying a dynamic and data-driven approach to measuring SD and provides valuable information on the interaction among its dimensions.
Development is a complex phenomenon that involves economic, social, and environmental transformations. In recent decades, sustainable development (SD) has gained prominence as a policy objective, emphasizing balanced progress in economic growth, social inclusion, and environmental protection. However, measuring SD progress remains challenging, given the need to consider such multiple dimensions, which often show trade-offs; this is especially true in developing countries such as Peru, where rapid socioeconomic changes coexist with environmental degradation. Traditional metrics, such as GDP or composite indicators such as the Human Development Index, often fail to capture the multidimensional and dynamic nature of SD, especially in terms of the environmental side. This paper employs a multivariate latent Markov model (LMM) to assess Peru's progress toward SD from 2004 to 2017, incorporating economic, social, and environmental indicators. LMMs are advantageous, as they account for unobserved heterogeneity and state transitions between sustainability levels over time, offering a nuanced understanding of SD dynamics. Our findings reveal that while Peru experienced economic and social improvements during the study period, the inclusion of environmental factors in the SD measure curbs overall progress, highlighting potential trade-offs between poverty reduction and environmental quality. The results underscore the importance of integrating environmental considerations into SD strategies, particularly in the context of rapid economic growth. This study contributes methodologically by applying a dynamic and data-driven approach to measuring SD and provides valuable information on the interaction among its dimensions.