Showing papers by "Wen-Min Lu published in 2023"
TL;DR: In this paper , a two-stage data envelopment analysis (DEA) network model is proposed to assess the sustainability efficiency and profitability efficiency of mining multinational enterprises (MNEs).
3 citations
TL;DR: In this article , the authors assessed the link between research and development (R&D) expenses and firm efficiency, and found that R&D expenses significantly worsen firm efficiency and that family control positively moderated this effect.
Abstract: PurposeFirst, this study assesses the link between research and development (R&D) expenses and firm efficiency. Second, this study explores how family control moderates the link between the two.Design/methodology/approachThis study uses two measures of time-based firm efficiency, namely, a window slacks-based measure (WSBM) and a window epsilon-based measure (WEBM) of data envelopment analysis (DEA). Then, 216 firm-year observations are analyzed in the Taiwanese cultural and creative industries from 2005 to 2017.FindingsThis study finds that R&D expenses significantly worsen firm efficiency, and that family control positively moderates this effect. A further test separating the sample into family-controlled and nonfamily-controlled firms indicates that R&D expenses negatively affect the efficiency of nonfamily-controlled firms but positively affect that of family-controlled firms.Research limitations/implicationsThe existing literature has examined the link between R&D expenses and corporate performance. However, the process by which R&D expenses affect corporate performance from a production perspective remains unknown.Originality/valueOverall, this study provides insights for policymakers to scrutinize resource management and R&D expenses from the production and resource-based perspectives.
TL;DR: In this article , the authors evaluate the green performance of semiconductor supply chains to examine the effect of green supply chain management (GSCM) to ameliorate environmental problems.
Abstract: Green supply chain management (GSCM) has been applied by semiconductor firms to ameliorate environmental problems. This study aims to evaluate the green performance of semiconductor supply chains to examine the effect of GSCM. Using the meta-frontier Malmquist productivity index as the research method, and a sample of global semiconductor firms consisting of three groups, design, manufacturing, and assembling, as research objects, this study evaluates variation in performance while considering environmental variables and disregarding environmental variables respectively, and compares the differences between those two conditions for the whole supply chain and each group in the supply chain. This study discovers no significant differences in both considering and disregarding environmental variables scenarios, productivity of the whole supply chain shows progress. This study found the investment in enhancing technology development as a more important factor in productivity improvement and identifies design as the global leading sub-industry in the semiconductor supply chain.
TL;DR: In this paper , a meta-concept was incorporated into inverse DEA to determine optimal input and output levels without sacrificing the set environmental efficiency target, which is especially useful in achieving net-zero emissions since this method provides a roadmap for decision-makers to understand how to allocate the emissions reduction targets to different units.
Abstract: To achieve the goal of limiting global warming to 1.5 °C above preindustrial levels, net-zero emissions targets were proposed to assist countries in planning their long-term reduction. Inverse Data Envelopment Analysis (DEA) can be used to determine optimal input and output levels without sacrificing the set environmental efficiency target. However, treating countries as having the same capability to mitigate carbon emissions without considering their different developmental stages is not only unrealistic but also inappropriate. Therefore, this study incorporates a meta-concept into inverse DEA. This study adopts a three-stage approach. In the first stage, a meta-frontier DEA method is adopted to assess and compare the eco-efficiency of developed and developing countries. In the second stage, the specific super-efficiency method is adopted to rank the efficient countries specifically focused on carbon performance. In the third stage, carbon dioxide emissions reduction targets are proposed for the developed and developing countries separately. Then, a new meta-inverse DEA method is used to allocate the emissions reduction target to the inefficient countries in each of the specific groups. In this way, we can find the optimal CO2 reduction amount for the inefficient countries with unchanged eco-efficiency levels. The implications of the new meta-inverse DEA method proposed in this study are twofold. The method can identify how a DMU can reduce undesirable outputs without sacrificing the set eco-efficiency target, which is especially useful in achieving net-zero emissions since this method provides a roadmap for decision-makers to understand how to allocate the emissions reduction targets to different units. In addition, this method can be applied to heterogeneous groups where they are assigned to different emissions reduction targets.
18 Jul 2023
TL;DR: In this article , the authors benchmark the sustainability of 111 tourist destinations throughout the world, using an advanced integration of a two-stage network DEA under the meta-frontier concept, directional distance function, and network-based ranking methods.
Abstract: Sustainable tourism is the idea of managing the negative impacts or potential for serious harm to the economic, environmental, or social elements of a destination, and thus reaching the goals of sustainable development. This research benchmarks the sustainability of 111 tourist destinations throughout the world, using an advanced integration of a two-stage network DEA under the meta-frontier concept, directional distance function, and network-based ranking methods. The empirical outcomes of these analyses clarify that the sources of sustainable inefficiencies are the self-production process and the technology gap among the tourism regions, rather than the capacity of utilizing the input resources or maintaining the production outcomes. The network-based ranking emphasizes the sufficiency and deficiency of each place, and provides a map of reference among destinations. Based on these, the article reports some managerial suggestions, theoretical implications, and future research directions.
TL;DR: In this paper , a two-stage production process is designed to analyze a firm's performance, including sustainability and marketability, using a twostage network data envelopment analysis, and the relationship between environmental investment and firm performance is also investigated using truncated regression, showing that the environmental innovation score (EIS) and resource use score (RUS) have significant negative relationships with firm performance in the short term due to the fact of additional expenses incurred during the innovative research and development of new products and services.
Abstract: Sustainable development strategies are necessary to ensure sustainable performance even though resources are scarce in a firm. In this study, a two-stage production process is designed to analyze a firm’s performance, including sustainability and marketability, using a two-stage network data envelopment analysis. This process will help managers of a firm understand how to improve sustainability and marketability efficiency. The relationship between environmental investment and firm performance is also investigated using truncated regression. The results show that the environmental innovation score (EIS) and resource use score (RUS) have significant negative relationships with firm performance in the short term due to the fact of additional expenses incurred during the innovative research and development of new products and services. Moreover, the study reveals that the emission score positively affects both sustainability efficiency and marketability efficiency, while EIS and RUS have no effects on the efficiencies. These empirical findings are meant to assist managers in better comprehending the characteristics of business sustainability across industries with varying scales and performance levels, offer better business strategies for resource allocation, and enhance a firm’s performance in the post-pandemic era.