Determinants of non-farm labour participation rates among farmers in Australia

In recent decades, non-farm employment has become prevalent and an important source of income for Australian farm families. However, models identifying the relative significance of the socioeconomic variables influencing non-farm employment participation rates have never been estimated in Australia. In this paper, a bivariate probit model of non-farm employment participation rates was estimated, using information from the Australian Bureau of Agricultural Resource Economics (ABARE) 1994–1995 surveys. It was found that the participation decision of the farm operator and spouse is likely to be jointly determined, that non-farm employment participation increased at a declining rate with age among farmers and that university education enhances the participation rates particularly among spouses. Participation rates were also higher among spouses with lower other income and with no dependent children.     

Impact of CRM technology on sales process behaviors: empirical results from US,Europe, and Asia

Purpose: The diffusion of customer relationship management (CRM) systems across the globe, over the last decade, has created a need to improve the understanding of the impact of technology on the sales process from a global perspective. The authors examine how CRM technology impacts the sales process (creating opportunity, managing opportunity, and managing relationships) in three regions of the world (US, Europe, and Asia).

Methodology/Approach: The differences among US respondents (n = 789), European respondents (n = 327), and Asian respondents (n = 91) were explored. A multivariate analysis of variance (MANOVA) was conducted on creating opportunity, managing opportunity, and managing relationships, with dichotomized CRM effectiveness and geography (US/Europe/Asia) as factors.

Findings: The MANOVA revealed a significant influence of CRM effectiveness, but a non-significance for geography and a non-significance for the interaction between CRM effectiveness and geography. This pattern of results suggests that CRM effectiveness leads to significant differences in sales processes; however, these influences are not qualified by the geography to which the firm belongs. Ensuing univariate Analysis of Varirances (ANOVAs) revealed a significant influence of CRM effectiveness on creating opportunity, managing opportunity, and managing relationships, but not for firm–geography or its interaction with CRM effectiveness. Post hoc tests revealed that firms high on CRM effectiveness were better at creating opportunity, managing opportunity, and managing relationships. Differences in CRM effectiveness lead to significant differences in sales processes; however, these influences once again are not qualified by the geography to which the firms belong.

Originality/Value Contribution: This study provides several contributions to the stream of research focused on CRM globally. First, due to globalization, CRM use and process can be more standardized across regions and cultures. With the evolution of technology such as Web 2.0 and cloud computing, barriers to communicating and exchanging information, regardless of time zone or location, have been decreased. A US firm’s use of a CRM platform can essentially capture the same information on a client that a firm in Europe or Asia also manages. CRM’s ultimate measure of success is for the buyer–seller relationship process to positively impact the level of business conducted.     

Risks of the German Power Supply System

The German power supply system is experiencing a phase of radical change. The insurance industry designed this transformation not only as a property insurance donor, but also as an institutional investor. The emphasis of this commitment is based on their own assessment of the risks to which this supply system has been exposed. This study compares risk assessment designs from the insurance industry with that from technical network managers and shows in which the assessments significantly differ. For example, the insurance company’s risk assessment of natural disasters and cyber-attacks is much greater in terms of probability of occurrence and the potential of damage than the assessment of energy experts.     

Stochastic vs. deterministic frontier distance output function: Evidence from Brazilian higher education institutions

Journal of Productivity Analysis - Using data from the Brazilian Higher Education Census and other public institutions, this study aims to obtain and compare efficiency scores from stochastic...     

Remarks on a copula-based conditional value at risk for the portfolio problem

We deal with a multivariate conditional value at risk. Compared with the usual notion for the single random variable, a multivariate value at risk is concerned with several variables, and thus, the relation between each risk factor should be considered. We here introduce a new definition of copula-based conditional value at risk, which is real valued and ready to be computed. Copulas are known to provide a flexible method for handling a possible nonlinear structure; therefore, copulas may be naturally involved in the theory of value at risk. We derive a formula of our copula-based conditional value at risk in the case of Archimedean copulas, whose effectiveness is shown by examples. Numerical studies are also carried out with real data, which can be verified with analytical results.