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Political risk effects and entry mode strategies of multinational corporations (MNCS) in Nigeria
Views:519Research on the political risk and entry mode of multinational companies (MNCs) has been one of the major subjects of interest in international business terrain, and the political risk factor has constitute a major basis for explaining whether exporting, licensing, franchising, or joint venture agreement (JVA) and Foreign direct investment seems to be appropriate. As such, the study examined the effect of political risk as it affects the entry mode strategies of selected multinational corporations in Nigeria as the economy of most developing economies has been characterized as being exposed to political instability and risk. The research adopted the survey technique with inference to the expo facto method and adopted questionnaire as an instrument through content and test re-test appraisal before data were analyzed through the IBM Statistical Package for the Social Sciences. The results from the analysis indicated that franchising remains a viable option of multinationals in Nigeria and the second hypothesis indicated that licensing significantly reduces the risk exposure of multinational corporations as the licensor have lesser liability in an unstable political economy of the licensee. Based on these findings companies are recommended to adopt appropriate entry strategies in line with governmental policies and economic situation before entering foreign markets.
JEL CODES: M1, M10 -
Risk and risk management in Hungarian sheep production
61-65Views:187The aim of this paper is to give an overview of the risk attitudes of Hungarian sheep producers regarding the changes they have had to go through since the political changes of 1989–1990. Moreover, the objective of this study is to strengthen the empirical basis for risk analysis by identifying the importance of farmers’ risk attitudes. The results of a nationwide survey of over 500 sheep farmers presented a framework of risk attitudes, risk sources and applied risk management techniques of livestock producers.
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A Quantitative Assessment of the Rurality and an Efficiency Analysis of Emigration in Romania
39-46Views:204In Romania, as in many other Eastern European countries, the early 1990s were marked by a significant emigration from the countryside as a consequence of the transition from a centralised economy to an open one and due to key changes in the political framework. The permanent emigration has predominantly been concentrated in rural areas where multiple socio-economic variables such as GDP per capita, unemployment, and public financial subsidies aimed at supporting people at risk of severe deprivation and poverty have all had a direct effect on rural depopulation. The rurality is a complex theoretical construct comprising many items and variables and is, therefore, difficult to define in a concise manner. The aim of this paper is to assess the evolution of emigration in Romania between 2001 and 2016 through a quantitative approach, estimating an index of rurality for the same period composed of a set of socio-economic variables having a direct or indirect nexus to it. In the first phase of research, a matrix of correlation and a multiple regression model has been used in order to estimate the direct links among all investigated variables. Following the quantitative methodology, in the second phase Partial Least Square Structural Equation Modelling (PLS-SEM) has been used in order to assess the main cause-effect relationships among a few selected endogenous variables and a set of socio-economic items. Furthermore, using a non-parametric Data Envelopment Analysis (DEA) output-oriented model, this research has assessed the efficiency in terms of permanent emigration from Romania estimated as an output to minimise and not as an output to maximise, as investigated by traditional efficiency approaches. In terms of efficiency, financial subsidies allocated by national authorities and the level of per capita Gross Domestic Product have acted directly on the level of emigration. The index of rurality in 2016 has been influenced in particular by he pluriactivity in farms in terms of agritourism, the dimension of farms in terms of land capital endowment, and the level of GDP per capita.
JEL Classification: Q10; Q18