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1 – 10 of 13Taylor Boyd, Grace Docken and John Ruggiero
The purpose of this paper is to improve the estimation of the production frontier in cases where outliers exist. We focus on the case when outliers appear above the true frontier…
Abstract
Purpose
The purpose of this paper is to improve the estimation of the production frontier in cases where outliers exist. We focus on the case when outliers appear above the true frontier due to measurement error.
Design/methodology/approach
The authors use stochastic data envelopment analysis (SDEA) to allow observed points above the frontier. They supplement SDEA with assumptions on the efficiency and show that the true frontier in the presence of outliers can be derived.
Findings
This paper finds that the authors’ maximum likelihood approach outperforms super-efficiency measures. Using simulations, this paper shows that SDEA is a useful model for outlier detection.
Originality/value
The model developed in this paper is original; the authors add distributional assumptions to derive the optimal quantile with SDEA to remove outliers. The authors believe that the value of the paper will lead to many citations because real-world data are often subject to outliers.
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Sebastian Vaduva, Lance Brouthers, Melisa Benchis and Amalia Cristina Nedelcut
The purpose of this paper is to explore the viability of shifting foreign direct investment (FDI) from China to Central and Eastern European (CEE) countries in light of recent…
Abstract
Purpose
The purpose of this paper is to explore the viability of shifting foreign direct investment (FDI) from China to Central and Eastern European (CEE) countries in light of recent geopolitical and economic challenges. By analyzing case studies, it argues that CEE nations offer a compelling alternative for Western European businesses, with stronger intellectual property protection, political stability and alignment with European Union (EU) sustainability goals. The paper provides insights for firms and policymakers on mitigating risks and enhancing business operations by pivoting toward the CEE region, offering practical recommendations for adapting to shifting global trade dynamics.
Design/methodology/approach
The design methodology uses the case study approach to analyze the shift of FDI from China to CEE. This method examines the geopolitical, economic and legal contexts influencing business decisions, using real-world examples of Western European companies that have made this transition. The case studies highlight key factors in decision-making and the benefits of relocating investments to the CEE region.
Findings
The study identifies several advantages of the CEE region over China for Western European firms. These include geographic proximity, similarities in business values and purposes, environmental accountability, trustworthiness in business, enforceable noncompetition rules, lower risks of counterfeiting, reduced political and administrative risks, lower risks of intellectual property theft and reduced risks of negative publicity.
Practical implications
The findings suggest that Western European firms should consider redirecting their FDI to the CEE region to mitigate risks associated with investing in China. This move could offer long-term benefits despite short-term complications.
Originality/value
This paper contributes to the FDI theoretical framework by enhancing the cultural, administrative, geographic and economic (CAGE) distance framework. It provides a unique perspective on the shifting dynamics between Europe and China and highlights the potential of the CEE region as a viable alternative for FDI.
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