“Transforming our world: the 2030 Agenda for Sustainable Development” was agreed upon in 2015 by the global community and proposes 17 Sustainable Development Goals (SDG) for the period between 2015 and 2030. Since the greater integration of goals was an explicit claim, there are numerous overlaps among them. One of the novelties of the SDGs is that, in order to achieve the set goals, the Agenda 2030 addresses not only the states but the businesses as well. In our study, the relationships between the SDGs were analyzed on the base of the Global Reporting Initiative (GRI) indicators linked to the goals. The analysis was carried out by cluster analysis. Our results indicate that there is a strong relationship to be found among nine of the 17 SDGs. That relationship is mainly technical, which is caused by the number of aligned (genuine) GRI indicators. Though there are relationships between the SDGs as well, their strength is much weaker. According to our classification of SDGs, we suggest that the gap of business attention among SDGs is smaller than it is showed by KPMG.

Small- and medium-sized enterprises (SMEs) play a significant role in the national economies of the EU member states. This economic activity has an inevitable environmental impact; however, environmental performance indicators are mostly measured at larger companies. Since the ecological footprint (EF) is a suitable measure of unsustainability, this paper considers it as a measure of the environmental impact of SMEs. An EF calculator for SMEs was developed that is freely available online, and it is a methodological innovation per se. Our previous research projects highlighted that the calculator must be easy-to-use and reliable; therefore, the calculator considers only the common, standardizable, and comparable elements of EF. Our results are based on validated ecological footprint data of 73 Hungarian SMEs surveyed by an online ecological footprint calculator. In order to validate and test the usefulness of the calculator, interviews were conducted with respondents, and results were also checked. The paper presents benchmark data of ecological footprint indicators of SMEs obtained from five groups of enterprises (construction, white-collar jobs, production, retail and/or wholesale trade, and transportation). Statistical results are explained with qualitative data (such as environmental protection initiatives, business models, etc.) of the SMEs surveyed. Our findings could be used as a benchmark for the assessment of environmental performance of SMEs in Central- and Eastern Europe.

Due to the large volume and mass of materials used, the construction industry is one of the sectors with the highest environmental impact. However, to provide good quality, affordable, and low-energy housing, the business case must be maintained. Accordingly, we aimed to develop and test a calculator to measure the ecological footprint of the embodied carbon in materials used in construction projects in a standardized way, without the need for environmental or even civil engineering expertise, and thus in a way that is accessible to SMEs. The novelty of our research is that although there are calculators for measuring the environmental impact (e.g., carbon footprint) of the construction industry, and there is a methodology for calculating the ecological footprint of construction, there is no free, easy-to-use, online calculator for calculating the ecological footprint of embodied carbon in materials available to all enterprises. In other words, this approach extends our previously developed corporate ecological footprint calculator with the environmental impacts of material usage. The study summarises the baseline research for an ecological footprint calculator, tested on two new condominium buildings and the energy renovation of five condominium buildings, built with a prefabricated technology typical in Hungary and other post-socialist countries. Based on our results and in accordance with former literature sources, most of the ecological footprint of new construction projects is determined by materials with high mass and volume, in particular, concrete, steel, and masonry; so it is not necessary to take into account all construction materials in a calculator in a detailed way. We also conclude that renovation and ongoing maintenance, as well as preservation, are recommended for structurally sound buildings, as embodied carbon in materials in the case of an energy upgrade of an existing condominium building has an environmental impact of 0.3–0.8 global hectares per dwelling, depending on the technical content, while in the construction of a new building, this value is between 10.49–14.22 global hectares. Our results can help investors and clients in their decisions, and policymakers in determining urban development directions.

Family enterprises are considered to be one of the oldest and still dominant forms of business organisations. However, their innovation activity is an emerging area of research, especially in the Central and Eastern European region. The aim of our study is to address this research gap by investigating, with the help of statistical tools, the relationship between the familiness of the firms, their innovation activity, and their export activity on representative samples of Hungarian SMEs in the years 2017, 2020, and 2022. Our results suggest that the innovation activity of exporting Hungarian SMEs is more significant than that of non-exporting SMEs. However, the relationship between familiness and innovation activity is not uniform in the three analyzed years, and the relationship between familiness and export activity is not significant. The findings of this study, that firms’ innovation and exporting activities can be mutually reinforcing, can be used by policymakers, curriculum developers in business education, and entrepreneurs. One of the main limitations of our research is that the 2020 and 2022 surveys were conducted after the first wave of the COVID-19 pandemic and the shock of the Russian–Ukrainian war, respectively; thus, the decisions of the firms could have been influenced by the unpredictability of the external environment.

Entrepreneurship is deeply rooted in tradition and culture in many countries; however, transitional market economies in Central and Eastern Europe (CEE) underwent 40–45 years of socialism, which disrupted these traditions by collectivising private property. Education is recognised as a key tool for regional development and restoring entrepreneurial knowledge and skills, potentially enhancing entrepreneurial intentions within society. This paper investigates the impact of entrepreneurial education on entrepreneurial activity in transitional CEE countries. Pearson’s correlation analysis was conducted using a combined national-level dataset from the Annual Population Survey (APS) and the National Expert Survey of the Global Entrepreneurship Monitor (GEM) spanning 2021–2023. Results reveal inconsistent findings across the years. In 2021 and 2022, there was a significant moderate correlation between total early-stage entrepreneurial activity (TEA) and an indicator of entrepreneurial education at primary and secondary levels in CEE countries. In contrast, no such relationship was observed in other regions. In 2023, however, no significant correlations were identified for any country group. These results highlight the temporal variability of education’s influence on entrepreneurship in transitional economies.

Digitalisation presents a significant challenge for small- and medium-sized enterprises (SMEs), as they generally lack the required competencies and qualifications for a digital transformation. However, crises such as the COVID-19 pandemic have highlighted how digitalisation can improve SME efficiency and unlock new markets. This paper aims to contribute to the empirical literature by analysing the factors influencing Hungarian entrepreneurs' activities and attitudes towards digitalisation during the COVID-19 pandemic. The results are based on the quantitative analyses of Hungarian datasets of the Global Entrepreneurship Monitor (GEM) spanning 2021 to 2023, complemented by figures from a representative survey of SMEs in 2022. Our findings show that while nearly all SMEs utilise digital devices, adopting more advanced solutions remains low. Although the pandemic somewhat accelerated the digitalisation efforts, most entrepreneurs do not expect to use more digital solutions in the next six months. There is no consistent correlation between digitalisation and entrepreneurial motives, as the cluster analyses did not provide homogenous groups of entrepreneurs in the years analysed, so we can conclude that digitalisation efforts may be even among them. Thus, to overcome the challenge of digitalisation, policymakers should incentivise entrepreneurs to improve their digital skills and implement digital solutions.