<abstract xmlns="http://www.w3.org/1999/xhtml">The present research, based on a national representative survey analysis of SMEs (that is, small and medium enterprises) from Romania, focuses on the main factors influencing companies’ outsourcing. It considers the following dimensions of outsourcing: organizational characteristics, environmental characteristics, relational capabilities, and institutional networks. The results suggest that the younger the SMEs and the more stable their relationship with local institutions, the more likely is for them to adopt outsourcing solutions. Moreover, those SMEs that have secondary offices and have some cooperation with the state also rely on outsourcing. Our results suggest that sector membership also proves to be a signifficant factor in outsourcing. We ffind that the highest percentage of outsourcing was done in construction, industry as well as hotels and restaurants sectors.</abstract>

Sapientia Hungarian University of Transylvania

Factors Influencing SME Outsourcing: Evidence from Romania

<abstract xmlns="http://www.w3.org/1999/xhtml">Corruption has a major impact on growth in low-income economies, while ease of doing business has a major impact on growth in developed countries. The study empirically examines the effect of corruption on ease of doing business. The study analyses unbalanced panel data of corruption rank, corruption score, control of corruption, and inflation, together with other economic and financial institutional factors and ease of doing business score for the period of 2004–2017. Results indicate that: corruption rank, inflation, and import have negative and significant effect on ease of doing business; corruption score, control of corruption, lending rate spread, and education (skill level) have positive and significant effect on ease of doing business; gross capital formation and population have insignificant negative effect on ease of doing business; export and gross domestic product have insignificant positive effect on ease of doing business. The random effect model is a consistent and most efficient model, indicating common mean value for ease of doing business for the dataset. The study recommends improved corruption scores, control of corruption, and ranks to encourage ease of doing business through monetary policy and infrastructural facilities.</abstract>

Corruption and Ease of Doing Business: Evidence from ECOWAS

<abstract xmlns="http://www.w3.org/1999/xhtml">Considering the positive relationship between ownership and firm performance in the corporate finance literature, the paper aims to investigate the effect of ownership structure on the risk associated with the firm. Portfolio theories state that an investment with a high return is expected to be associated with high risk; so, it can be argued that ownership should have a positive relation with risk too. However, another explanation is that since large shareholders, such as promoters and financial institutions, have a significant stake in firms, in developing countries like India they will avoid excess risk taking, and so there should be a negative relationship between ownership and risk associated with firms. Analysing Nifty-500 companies for the period of 2006/07–2015/16, the study has found that Indian blockholders are in general risk-averse. Results also suggest that profitability and growth opportunities have negative effects on risk, which again establishes the positive association between ownership structure and profitability.</abstract>

Ownership Structure and the Risk: Analysis of Indian Firms

<abstract xmlns="http://www.w3.org/1999/xhtml">In Nigeria, the level of agricultural productivity and farmers’ income have been affected by inadequate financing, which invariably discourages job creation and increases unemployment rate. Therefore, the study examines the impact of agricultural financing on unemployment rate in Nigeria, using time series data collected from the Central Bank of Nigeria (CBN) and the World Bank database from 1981 to 2018. Using Johansen’s cointegration, Error Correction Method (ECM), and Granger causality analytical techniques, our findings show that AGRIC_GDP, AGRICL_TL, GR, LR, and RUTP have a long-run relationship with UNEMPR and are statistically significant. Also, the ECM of about 57%, which is statistically significant, provides an indication of a satisfactory speed of adjustment and translates that about 57 percent of the errors are corrected in each period. The study recommends among others that government policy on agricultural credit should place more emphasis on strengthening banks’ commitment.</abstract>

Agricultural Financing and Unemployment Rate in Nigeria: A Cointegration Approach

<abstract xmlns="http://www.w3.org/1999/xhtml">This study aims to discuss the effects of the AAIOFI accounting standards of financial leased assets on the accounting treatment of the lessee in the case of using the Islamic finance lease. The importance of this study became evident when AAIOFI announced Islamic accounting standards with a significant difference between the IFRSs about the recognition of leased financial assets. Islamic financial institutions recognize the financial leased assets following AAIOFI accounting under long-term assets in the statement of financial position. This study used the interviews as a qualitative research method with financial managers of Jordanian companies using Islamic financial leasing. This study reached the conclusion that both Islamic financial leasing parties recognize the assets in the long-term asset side. The recommendations to avoid the inflation of the Islamic financial leased assets will be by applying a reasonable accountancy treatment by the lessee and consider it as operational leasing with proper justification for the non-compliance with the IFRS.</abstract>

Alexandre Lamfalussy Faculty of Economics

Explore the Lessee Accounting Treatment When Utilizing the Islamic Financial Leasing

Book Review

AHEAD OF PRINT

Volume 11 (2023): Issue 1 (October 2023)

Volume 10 (2022): Issue 1 (September 2022)

Volume 9 (2021): Issue 1 (September 2021)

Volume 8 (2020): Issue 1 (October 2020)

Volume 7 (2019): Issue 1 (December 2019)

Volume 6 (2018): Issue 1 (December 2018)

Volume 5 (2017): Issue 1 (November 2017)

Volume 4 (2016): Issue 1 (December 2016)

Volume 3 (2015): Issue 1 (December 2015)

Volume 2 (2014): Issue 1 (October 2014)

Volume 1 (2013): Issue 1 (July 2013)

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