Romania needs a change of the current development paradigm to face the challenges of the 21st century. As a member of the European Union, leaders in Romania are is interested in implementing the principles of sustainable development at a national level to reduce development gaps, to increase citizens’ well-being, and to preserve a clean environment. The purpose of this research is to determine the implementation status of the 2030 Agenda sustainable development goals (SDG) in Romania and to explore to what extent Romania will be able to reach, for the 2030 horizon, EU average values for the selected indicators. The research is based on 107 indicators that monitored the Sustainable Development Goals (SDGs). Eurostat database (sustainable development indicators) was the source of data in terms of their availability and integrity. The research results showed that the implementation status of SDG is sub-optimal. In the case of 40 indicators out of the 107 analyzed, forecasts indicate the possibility of reaching the EU average values by 2030. However, the country can remain on the path to sustainable development only by involving all stakeholders and increasing concrete and well-targeted measures to improve SDG indicators.

Relationships between tourism development, quality of life and sustainable performance are very important topics and benchmarks in long-term policies and strategies at global, regional and local levels. Starting from the concerns expressed by researchers and international organizations, as well as the characteristics of the European region, our research aims to identify these relationships in the context of increasing pressure from stakeholders on the adoption of decisive measures in order to limit the negative effects manifested globally in the context of climate change. Using cluster analysis, we managed to identify relevant groups of countries, based on the selected variables. The results of the study highlight the existence of a positive relationship between the development of tourism and the increase of the quality of life, as between the level of sustainable performance and tourism intensity, opening the possibility of future research on the causal relationships between the selected variables and the promotion of coherent public policies that support the sustainable development.

The European Union has taken on the role of global leader in implementing the Sustainable Development Goals set out in the 2030 Agenda for Sustainable Development, making substantial efforts to support this ambitious approach at the level of each Member State. The objective of this research is the assessment of Sustainable Development Goals (SDG) implementation in Bulgaria as well as the existing development potential, given the existing knowledge gap related to this important topic. The data available on Eurostat were processed using dynamic indices and time series analysis based on ARIMA methodology in order to identify the evolution trend of the main indicators associated with the SDGs, as well as the dynamics of progress. The results obtained estimate, for 2030, a degree of fulfillment of the assumed targets of 36.28%, but also reveal the existence of high potential for accelerating the transition process to a low-carbon economy and a more sustainable and inclusive society.

Environmental Management Initiatives (EMI), as part of the sustainability management movement, have become an integrated part of the organisational management practices and of the current research. Since the implementation of Environmental Management System (EMS), there have been many studies analysing this relationship with the environmental performance. Corporate Social Responsibility (CSR) also gained a great importance for the organisations’ performance, including their performance in the environmental area. However, previous studies analysed the direct link between those variables and environmental performance, while the mediating effect of those variables has not been tested yet because using a mediator in the relationship between two variables is a rather new approach in the research area used in the behavioural sciences area. This research analyses the role of EMI in defining the Environmental Performance (EP) of hotel industry, given the strong relationship between those two variables and the importance of the tourism sector for the economic development, both in the developed, but especially in the developing countries. It also investigates the CSR authenticity as mediator between EMI and EP link. Data was collected through a questionnaire of managers of the hotels in Pakistan. Correlation, Structural Equation Model and linear regressions were applied for testing the hypotheses and for checking the viability of the model. Findings revealed that EMI and CSR authenticity are important and significant determinants of EP in the hotel industry. Findings show that CSR authenticity acts as a mediator for the EMI and EP link. The stakeholder pressures and customers’ environmental awareness have forced the hotel industry to implement environmental standards and this shift of focus is more important in the hotel industry. The current research demonstrates that efforts of EMI is a prerequisite for enhancing CSR authenticity in the environmental area, and this, in its turn, contributes to the increase of the EP of hotel and tourism sector in a developing country. Given the lack of large financial resources of the developing countries, this model is an important outcome for the tourism industry that helps hotels to become green, to attract more clients and to gain competitive advantages.

According to the objectives of the European Union concerning the climate changes, Member States should take all the necessary measures in order to reduce the greenhouse gas emissions. The aim of this study is to identify the causality relations between greenhouse gases emissions, added value from agriculture, renewable energy consumption, and economic growth based on a panel consisting of 11 states from the Central and Eastern Europe (CEECs) in the period between 2000 and 2017. The Autoregressive Distributed Lag (ARDL) method was used to estimate the long-term relationships among the variables. Also a Granger causality test based on the ARDL – Error Correction Model (ECM) and a Pairwise Granger causality test were used to identify the causality relationship and to detect the direction of causality among the variables. The results obtained reveal, in the long term, two bidirectional relationships between agriculture and economic growth and two unidirectional relationships from agriculture to greenhouse gas emissions and renewable energy. In the short term, four unidirectional relationships were found from agriculture to all the variables in the model and one unidirectional relationship from renewable energy to greenhouse gas emissions.