Po-Chi Chen

Performance measurement for incineration plants using multi-activity network data envelopment analysis: The case of Taiwan

This study proposes the use of multi-activity network data envelopment analysis to appraise how incineration plants in Taiwan perform. Sample data from 2006 is used to examine the trade-offs between efficiency enhancement and pollution abatement. The respective efficiencies of the waste treatment and electricity generation are also assessed in a unified framework. The empirical results indicate that it is more important to improve the efficiency of waste treatment activity than of electricity generation activity in order to enhance the overall performance of Taiwans incinerators. Since ownership, location and length of operations do not in general affect their performance, any improvement has to come from the careful monitoring of each process of the waste treatment operations. Furthermore, given that the policy in Taiwan has moved away from incineration to recycling, the problem of an over-supply of incinerators may become apparent in the near future. Our results indicate that the availability of capacity size may be an important factor when policy-makers consider whether to close down some existing incinerators.

Measuring air routes performance using a fractional network data envelopment analysis model

This paper aims to propose a unified framework of data envelopment analysis (DEA) model so as to facilitate legitimate comparisons of performance among the production and service processes as well as overall operations. The fractional measure network DEA (FNDEA) model is constructed by analytically stratifying the structure of an operational network according to the transport service characteristics of air routes. We compare the proposed model with separate multi-stage DEA evaluation results by using an actual data set from the domestic air routes of an airline in Taiwan. The results show that the FNDEA model is significantly different from the separate multi-stage DEA model in magnitude of performance scores. Managerial strategies for the improvement of performance for the airline are also suggested.

Total factor productivity growth and directions of technical change bias: evidence from 99 OECD and non-OECD countries

Based on data of 99 nations during 1991–2003, the Malmquist index and its composition of technical change and efficiency change are estimated. In particular, the hypothesis of neutral technology is released to divide technology into the magnitude of the shift in the world production frontier and input-biased technology, and to show that in order to gain more benefit or not to lose so much benefit from technology change, it is important for countries to coordinate their choice of input mix with the directions of technology bias if their technical changes are biased. The results indicate that both OECD and non-OECD countries tend to show capital-using/labor-saving, capital-using/energy-saving and energy-using/labor-saving technical change bias over the entire period. The production pattern of a majority of countries is shown to have been able to take advantage of their technological innovations.

Efficiency and productivity change in Taiwan’s hospitals: a non-radial quality-adjusted measurement

This study measures the quality-adjusted hospital efficiency and productivity index of a production unit. We propose a non-radial output-oriented directional distance function approach to analyze Taiwan’s hospital productivity, which embeds the quality of care and environment variables simultaneously. There are two major advantages of this model. First, it considers all the radial and non-radial slacks that the model can identify, and hence is able to provide a more accurate performance measure and improve the discriminating power of the analysis. Second, it allows us to identify the source of the inefficiency. Our results show that the productivity indices of most of Taiwan’s hospitals got worse during the 2002–2004 period, during which both technology and efficiency performance deteriorated, but divergence appeared among different types of hospitals. We confirmed the need to incorporate quality factors while measuring a hospital’s efficiency and productivity. Nevertheless, there is no evidence to support the idea that healthcare quality is undermined by the cost-saving efforts by the care providers after the implantation of a global budget system.

A reassessment of the Global Food Security Index by using a hierarchical data envelopment analysis approach

Abstract This study proposes a hierarchical data envelopment analysis (H-DEA) approach to construct a multi-dimensional indicator, and applies it to reassess the 2014 Global Food Security Index created by the Economist Intelligence Unit (EIU) across 110 countries. Instead of using expert opinions to assign weights, the proposed model endogenises the weights, and thus avoids the problems of subjective weighting for international comparisons. The results show that although the ranking is not significantly different from that of the EIU, the optimal scores and weights differ by income levels. Additionally, this work articulates the value of a well-founded performance evaluation method by leveraging experts’ opinions and data-driven techniques through constructing a best-practice frontier with observation-specific weights. It is suggested that food availability should be the top policy priority in low- to medium-income and Sub-Saharan African countries where food deficits are most prevalent. The findings can serve as guidance to improve the design of the ongoing efforts for global food security.