Capital flows and economic growth revisited: evidence from five Sub-Saharan African countries

The study examines the differential effects of capital flows on economic growth in five Sub-Saharan African (SSA) countries over the period 1970–2014. Using the autoregressive distributed lag methodology, the findings show that in the long-run capital flows (i.e. foreign direct investment (FDI), aid, external debt, and remittances) have different effects on economic growth. FDI has a significant positive effect in Burkina Faso and negative effects in Gabon and Niger whereas the impact of debt is negative in all countries. Aid, however, promotes growth in Niger and Gabon whiles it deters growth in Ghana. Remittances, on the other hand, have a significant positive effect in Senegal. Finally, gross capital formation is significant in most of the countries and the impact of trade is mixed. These results suggest that the benefits of capital flows in SSA have been overemphasized.     

Foreign direct investment in OECD countries: a special focus in the case of Greece

Foreign Direct Investment (FDI) is considered as an important instrument for economic development all over the world. The aim of this paper is to examine the FDI inflows determinants for 24 OECD countries. To this end we employ annual data from 1980 to 2012 for a series of potential FDI determinants that have been identified as the most important by the relevant literature. Our empirical strategy employs both the standard fixed effects panel as well as a dynamic panel approach. The empirical findings highlight the importance of market size, trade openness, unit labor cost, schooling, taxation, gross capital formation, institutional variables, and ROA/ROE as significant FDI determinants. In the case of the dynamic panel model those FDI inflows determinants are not uniform for all country groups. Additionally, the results indicate that corporate tax rates clearly affect FDI attractiveness. This finding is robust when testing different countries subgroups. The present study has important policy implications indicating the factors that host economies should place emphasis on in order to attract FDI inflows. Policy makers should not only pay attention to the corporate tax rate level but they should also design a simple, stable and transparent taxation system that minimizes the relevant business risk.     

Can integrated infrastructure investment plans contribute to more effective public spending? The case of Mozambique

All countries, especially developing countries with limited financial resources, face difficult decisions in prioritising public funds for investment projects in the face of multiple demands in order to achieve strategic public goals. Effective investment often requires coordination between different institutions and the management of political pressure to divert investment in support of private interests. It also requires the identification of appropriate sources of funds for different purposes. The preparation of an integrated infrastructure investment plan (IIIP) that uses structured approaches to review investment proposals has been suggested, and adopted in some cases, as an instrument to address these challenges and bridge the gap between national planning and sectoral budgeting. This article considers the experience of Mozambique in deploying an IIIP as well as some recent events and concludes that the instrument may be helpful as part of a system of investment planning and allocation but that it has significant limitations.     

Applying the Randomized Response Technique in Business Ethics Research: The Misuse of Information Systems Resources in the Workplace

Mitigating response distortion in answers to sensitive questions is an important issue for business ethics researchers. Sensitive questions may be asked in surveys related to business ethics, and respondents may intend to avoid exposing sensitive aspects of their character by answering such questions dishonestly, resulting in response distortion. Previous studies have provided evidence that a surveying procedure called the randomized response technique (RRT) is useful for mitigating such distortion. However, previous studies have mainly applied the RRT to individual dichotomous questions (e.g., yes/no questions) in face-to-face survey settings. In this study, we focus on behavioral research examining the relationships between latent variables, which are unobserved variables measured by multiple items on Likert or bipolar scales. To demonstrate how the RRT can be applied to obtain valid answers from respondents answering a self-administered online questionnaire with Likert and bipolar scales, we build a behavioral model to study the effect of punishment severity on employees’ attitudes toward misuse of information systems resources in the workplace, which in turn influence misuse behavior. The survey findings meet our expectations. The respondents are generally more willing to disclose sensitive data about their attitudes and actual behavior related to misuse when the RRT is implemented. The RRT’s implications for causal modeling and the advantages and challenges of its use in online environments are also discussed.     

A solution to log of dependent variables with negative observations

Journal of Productivity Analysis - Negative observations pose a problem in econometric models that apply log-transformation to the data. We propose a simple yet effective solution to this problem...     

Entrepreneurial orientation in family firms: the case of the hospitality industry

Research increasingly shows interest in the motives and characteristics of entrepreneurs in the tourism and hospitality industry. Small and medium-sized family firms dominate this industry. Learning from the concept of entrepreneurial orientation and family business research, this explorative study aims at analysing entrepreneurial behaviours and their effect on performance as perceived by owner-managers of hospitality family businesses. The authors conduct narrative in-depth interviews to understand the managers' meaning of entrepreneurship and performance, and discuss the results in the light of existing entrepreneurship literature. Results indicate that family firms in hospitality and tourism are peculiar, and their embeddedness in the destinations and regions outlines their entrepreneurial behaviour against Schumpeter's definition of growth-oriented entrepreneurship.     

The Challenges of Detection and Enforcement of Insider Trading

Taking advantage of the China’s recent anti-corruption campaign, we attempt to examine the effect of public governance on a firm’s incentive to commit fraud. Using enforcement actions data from the Chinese Securities Regulatory Commission (CSRC) from 2004 to 2014, we find that, due to enhanced public governance, firms are less likely to commit fraud in the post-campaign period than in the pre-campaign period. We further show that the effect of public governance is more evident in privately held listed firms, in firms with weak legal environment, and in firms in areas with poor local economies. In addition, we find that older CEOs respond less actively to the public governance caused by anti-corruption regulations. This paper offers clear policy implications for business ethics by indicating that public governance provides external monitoring of corporate decisions.     

Rivaroxaban for non-valvular atrial fibrillation and venous thromboembolism in the Netherlands: a real-world data based cost-effectiveness analysis

Background: Non-vitamin K antagonist oral anticoagulants (NOACs) have been included in international guidelines as important alternatives to vitamin K antagonists (VKAs) for the treatment of venous thromboembolism (VTE) and stroke prevention in non-valvular atrial fibrillation (NVAF). Meanwhile, in the Netherlands, NOACs are widely used next to VKAs. The objective of this study is to estimate the cost-effectiveness of treatment with rivaroxaban compared to VKAs in NVAF and VTE patients in the Netherlands, using data from international prospective observational phase IV studies.

Methods: Two models were developed to represent NVAF and VTE patients, populated with patients from the XANTUS (NCT01606995) and XALIA (NCT01619007) international prospective observational studies. The 1-year cost-effectiveness of rivaroxaban use, compared to VKAs, was explored in a population consisting of NVAF and VTE patients (base case) as well as for four scenarios with sub-populations: NVAF patients only, VTE patients only, NVAF patients with unstable international normalized ratio (INR), and NVAF patients using an INR self-measuring device.

Results: In the base case, rivaroxaban saved €72,350 and gained 21 quality-adjusted life-years (QALYs) in a simulation of 2,000 patients over the use of VKAs. Ergo, rivaroxaban was dominant over VKAs. The probabilistic sensitivity analysis showed a probability of 85% for rivaroxaban being dominant and 100% at a willingness-to-pay threshold of €20,000/QALY. Rivaroxaban appeared to be dominant in all scenarios as well, except for the NVAF-patients-only scenario where the incremental cost-effectiveness ratio (ICER) was €157/QALY.

Conclusions: In patients with NVAF or VTE, rivaroxaban treatment is likely to be cost-effective and a potentially cost-saving alternative to VKA in the Netherlands.     

Economic modelling of costs associated with outcomes reported for type 2 diabetes mellitus (T2DM) patients in the CANVAS and EMPA-REG cardiovascular outcomes trials

Aims: To model direct medical costs associated with reductions in cardiovascular disease (CVD) events in T2DM patients reported in the CANVAS and EMPA-REG trials, which assessed the cardiovascular safety of canagliflozin and empagliflozin, respectively.

Materials and methods: Costs were modeled from a US managed care organization (MCO) perspective for the CVD outcomes included in both trials: three-point major adverse cardiovascular event (MACE) and its components (cardiovascular-related death, nonfatal myocardial infarction, nonfatal stroke), as well as heart failure requiring hospitalization. The rate of CVD events averted (difference between study drug and placebo) was projected to the portion of an MCO T2DM population matching the respective trial’s inclusion criteria. A targeted literature search for paid amounts directly associated with each CVD event provided the unit costs, which were applied to the projected number of events averted, to calculate costs avoided per member per year (PMPY). One-way sensitivity analyses were performed on events averted, unit costs, and percentages of trial-applicable patients.

Results: Based on three-point MACE events averted, costs avoided PMPY of $6.17 (range: $1.27–$10.94) for CANVAS and $2.75 ($0.19–$4.83) for EMPA-REG were estimated. Costs avoided for individual components of MACE ranged from $0.77 to $3.84 PMPY for CANVAS and from -$0.97 (additional costs) to $1.54 for EMPA-REG. PMPY costs avoided for heart failure were $2.72 for CANVAS and $1.32 for EMPA-REG.

Limitations and conclusions: Models assumed independent, non-recurrent outcomes and were restricted to medical costs directly associated with the trial-reported events. The reductions in CVD events in T2DM patients reported for both CANVAS and EMPA-REG project to a positive cost avoidance for these events in an MCO population. The analysis did not include an assessment of the impact on total cost, as the costs associated with adverse events, drug utilization or other clinical outcomes were not examined.     

Estimating Technical Efficiency and Production Risk under Contract Farming: A Bayesian Estimation and Stochastic Dominance Methodology

We investigate production risk, technical efficiency and risk attitudes amongst contract and independent farmers. We use a Bayesian parametric approach and stochastic dominance quantile regression methods to compare technical efficiency and risk attitude of smallholders in Nepal. Using farm‐level data, we find that contract farmers appear to show lower inefficiency and lower production risk. Additionally, contract and independent farmers can increase output by reducing the scale of operation. Regardless of the commodity produced and farming arrangement (contract or independent production), we find that labour, land and other inputs are risk‐augmenting, while the role of capital is mixed. We find a second order stochastic dominance (SSD) for lentils, and first order stochastic dominance (FSD) for tomatoes, ginger and HYV paddy seed commodities. Finally, contract farmers are more risk averse than independent farmers, regardless of the commodity produced.