Martina Ballova

The purpose of this study is to substantiate the theoretical provisions on the accounting support for sustainability reporting and develop practical recommendations for improving the mechanisms for generating fragments of non-financial reporting based on accounting data. The study is conducted on the example of Ukraine. The paper provides a bibliometric analysis of scientific publications on the reporting in the field of sustainable development. Generalizing the results of the content-context block of the bibliometric analysis allowed identifying seven clusters. In the context of the study, the most relevant is the fourth cluster, which reflects the relationship between sustainability reporting and accounting. To create an effective mechanism for building sustainability reporting, a five-step sequence of actions based on accounting data was proposed, and tables were created to simplify the search for the necessary information to fill out fragments of a sustainability report and assess social and environmental security based on accounting data.

Type of the article: Research Article

Abstract
The transition to climate neutrality in Europe increasingly depends on the capacity of public policy to stimulate innovation, entrepreneurship, and investment in the energy sector. This study aims to examine whether, and under what conditions, public R&D support and finance-related policy instruments are associated with energy-related start-up activities and financing across European and neighboring economies, while accounting for delayed, non-linear, and country-specific effects. The analysis is based on panel data for 37 countries over the period 2018–2023. The study employs fixed-effects, PPML, lagged, and quadratic specifications. The findings suggest weak short-term associations between policy support and energy start-up outcomes, while several delayed and non-linear patterns emerge. Two-year lagged estimations reveal significant delayed associations: government support is negatively associated with green start-ups (–0.0072) and digital start-ups (–0.0114), which may reflect crowding-out mechanisms or reactive policy behaviour, although these explanations are not directly tested. In contrast, finance-related support is positively associated with digital energy start-ups after two years (0.0225). Funding models show weaker transmission effects, although government support is negatively associated with early-stage green funding (–0.0605). Quadratic specifications reveal meaningful thresholds for government support at 51.33, 93.71 and 107.39 in baseline models and between 80.80 and 158.28 points in lagged models. The results suggest that policy–start-up relationships vary by timing, intensity, support type, and start-up segment. This highlights the scientific value of analyzing public support as a delayed, non-linear and context-dependent mechanism rather than as a simple direct stimulus.

Acknowledgment
This article was prepared based on the results of the project 101127491-EnergyS4UA-ERASMUS-JMO2023-HEI-TCH-RSCH. Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union or European Education and Culture Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.