9. Summary and conclusions
Government grants are economically important in some firms, and financial statements can be significantly affected by the related numbers. Despite this, the topic has received little attention from standard-setters or from researchers. The general issue of nonreciprocal transfers is not addressed specifically in the IASB’s framework. The main accounting standard on government grants (IAS 20) has, since 1982, offered two options for asset grants (deferred income or deduction from asset) which are both inconsistent with fundamental aspects of the framework. A quite different solution (immediate recognition as income) was proposed for unconditional grants by standard-setters in 1999. This was implemented by the IASB in 2001 for grants relating to certain unusual assets (biological assets under IAS 41) and in 2009 for grants received by unlisted firms which use the special standard designed for them (IFRS for SMEs). Yet there are no current proposals to amend IAS 20. The standard-setters have been deterred from resolving the topic of grants because it is related to major conceptual problems, including the scope of liabilities/contingencies and the tension between matching and an asset/liability view.
Our research provides evidence about the frequency and size of grants in 15 countries. We show, for example, that in several countries the majority of firms in our sample receive asset grants, and that they are important for some firms. We also show that IAS 20’s two policy options for government grants are roughly equally popular. However, policy choice varies greatly from 100% treatment as deferred income in Australia to no such treatment in Canada. The choice is highly significantly related to country. We hypothesize and find that the deferred income treatment for government grants is more common in countries where it is or was required or recommended under national GAAP. There are few policy changes over time. This is all in line with previous research on other policy topics (e.g. Stadler and Nobes, 2014).