Ethics is an important issue in accounting and to organize it, devising a model consistent with Islamic and cultural conditions in Iran is essential. This study aims to test and examine the importance of the elements of the "practical model of sustainable development of accounting professional ethics" which has been presented by Namazi et al. (2017). The current study is a kind of quantitative research. The data required for testing the model has been obtained through collecting the questionnaires and simple random sampling of 217 academic and professional accountants activists in the country. Also, the confirmatory factor analysis using Lisrel Software was applied. The results showed that all factors of sustainable development model of accounting, including individual, social, economic-organizational, and environmental factors have a compatible fitness, that in this regard, social, individual, economic-organizational and environmental factors have the greatest fitness, respectively. In addition, examining the load factor of the individual`s characteristics showed that first "moderation" and then "general factors" are involved in this regard. In social characteristics, load factor belongs to individual factors, social responsibility and interaction, respectively. In measuring economic-organizational characteristics, factors of competence, honesty, observing principles and professional standards, public traits, and professional and organizational have the highest load factor, respectively. Moreover, the findings indicate that, in addition to economic-organizational factors, other factors such as individual, social and environmental factors of sustainable development are effective in accounting professional ethics. These factors demonstrate interactive and mutual relations in a way that social factors are the most important elements of the model and "avoidance of abuse of the properties and the information of the organization", which is considered as the honesty factor of the economic-organizational factors, partly indicate the greatest loading factor.