Abstract
This study investigated pre and post-IFRS adoption and entrepreneurial intentions from 2006-2017 using Panel Data from annual financial statement of quoted companies. Data for the study were obtained from secondary sources and analysed using Eview9 statistical package namely: ADF Unit Root Test, Panel Cointegration test; Bayesian Error Correction Model, Panel OLS among others. Data for the work were drawn with purposive sampling techniques from samples of 72 observations Nigeria stock exchange statistical Bulletins. The R-square (Coefficient of Determination) shows an explanation of Pre IFRS (0.280213) and Post IFRS (0.440826) percent of the employed model, i.e. Pre IFRS=28%; Post IFRS 44% and of the variance of the criterion variable is explained by the predictor variable. Which shows how well-fitted the regression is based on the unique theoretical combinations of variables. The Durbin-Watson being a test for auto/serial correlation shows an output of Post IFRS is 1.434594, while Pre IFRS is 1.428219 which signifies the absence of a serial or autocorrelation of the residual (error term) and appears to be within the relevant range. The F-statistics testing the overall hypothesis of the slope coefficient displays a very significant long run relationship based on the statistic output of Post IFRS (6.109727); Pre IFRS (0.004044) at a probability level of Post IFRS (0.000957); Pre IFRS (6.423459) which is less than the critical value of 0.05 (0.00 < 0.05). Therefore, overall we reject null hypothesis and alternate that there is significant (short-run and long-run) relationship between employed variables but in favour with Post IFRS adoption on entrepreneurial intentions. We therefore recommend among others that entrepreneurial intention should focus to boost the long term benefits of all total asset, current asset, non-current asset and profitability index in line with IFRS value relevance reporting accounting techniques.
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More From: American Journal of Social Development and Entrepreneurship
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