Recognition Criteria and Classification of Investment in Tangible Assets


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Orujov N. G.

Universal Journal of Accounting and Finance, vol.10, no.1, pp.25-36, 2022 (Scopus) identifier

  • Nəşrin Növü: Article / Article
  • Cild: 10 Say: 1
  • Nəşr tarixi: 2022
  • Doi nömrəsi: 10.13189/ujaf.2022.100104
  • jurnalın adı: Universal Journal of Accounting and Finance
  • Jurnalın baxıldığı indekslər: Scopus, EconLit
  • Səhifə sayı: pp.25-36
  • Açar sözlər: Accounting, Azerbaijan, Capital, Investment, Tangible assets, Taxes
  • Adres: Bəli

Qısa məlumat

The aim of the study is to clarify and arrange the types of investment in tangible assets based on the practice of forming such assets in the world and Azerbaijan in particular. The article involves methods of analysis and synthesis in the development of criteria for attributing costs to investment in tangible assets. The dynamics of the investment in tangible assets of economic entities were analysed through the statistical analysis. The monographic method is applied to a comprehensive in-depth study of the types of investment in tangible assets, and the cause-and-effect relationships of their implementation. An abstract logical method was used to generalise and draw conclusions. The nature of investment in tangible assets was studied, taking into account the provisions of international accounting standards and other regulatory documents. An algorithm for identifying investment in tangible assets was developed, which provides for their consistent recognition from the moment the operation gets the attributes of investment activity and the subsequent distribution of investment by individual groups of assets to their final completion. The usefulness of the identification algorithm in making informed management decisions on the material investment in individual objects was determined. The classification of investment in the tangible assets of the company was determined, and the key types of investment were identified. The dynamics of the volume of investment in the tangible assets of Azerbaijani companies were investigated; an econometric model was developed to predict it, and the amount of investment in the tangible assets of Azerbaijani companies for the next five years was predicted. The prospects for further research include the search for directions for modernising the company’s investment policy.