Value relevance, Accounting information, Fair value, Share price, Revaluation, Tangible assets, M41, M44, M47, G12,

Having a longitudinal approach of the Romanian public accounting system's evolution, this historical study proposes the development of a framework in order to assess in a descriptive manner the change of public accounting and its implications for Romania, a European emerging country. The evolution from cash accounting to accrual accounting took place during three time periods within the timeframe 1991-2015. For each of these time periods we investigated influential factors such as period, place, people, practices, propagation, products, and profession. The study shows that under the influence of the international managerial public reform and the internal factors analysed, the public accounting system shifts from the old values of the post-communist period to new reference bases such as International Public Sector Accounting Standards (IPSAS). The results of the study place Romania, an East European country, on the map of international public sector accounting systems as a relatively new arrival but with serious intentions of integration.

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Using a sample of 900 apartments from Cluj-Napoca, Romania, containing selling transactions for the second semester of 2019, and data for 33 locational, physical and neighbourhood-related attributes (socio-cultural, environmental, and urbanism related), our research objective is to test the performance in price prediction, and hence the utility, of the Artificial Neural Networking (ANN), as artificial intelligence model versus the Generalized Linear Model (GLM), as a regression model. By contributing to an ongoing debate, our empirical findings confirm the results of a predominant group of earlier studies, namely the superiority of ANN. Precisely, we found that ANN can better predict selling prices and provides stability of results. Additionally, we addressed the critiques related to the transparency of results, showing that ANN also has the ability to illustrate the significance of the different attributes of real estate, if appropriate statistical indicators are used. These findings can serve the different real estate valuation purposes, including that of the review of valuation reports.