Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture

Atıcı, Kazım Barış; Podinovski, Victor V.

doi:10.1016/j.omega.2015.01.015

Cited by 92 publications

(37 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the process of agricultural production, input means agricultural production and produce products (or value), while waste and emissions (or other undesirable outputs) are unavoidable [25,40]. Therefore, this research, according to the eco-efficiency evaluation criteria of the WBCSD, refers to some of the latest research on the eco-efficiency evaluation [40][41][42][43][44], combined with the availability of data, to construct evaluation index system.…”

Section: Data Selection and Dmumentioning

confidence: 99%

Measuring Eco-Efficiency of Agriculture in China

et al. 2016

View full text Add to dashboard Cite

Eco-efficiency is a tool for sustainability analysis that indicates how to carry out economic activities effectively. This paper assesses agricultural eco-efficiency using data envelopment analysis (DEA) and the Theil index approach. Using basic data of 31 provinces in China during 2003-2013, we analyzed the agricultural eco-efficiency development level and spatial pattern in China. The results show that the agricultural eco-efficiency of only four provinces has been relatively efficient in the entire study period, namely, Zhejiang, Hainan, Chongqing, and Tibet. The results also show that agricultural eco-efficiency was higher mainly in south of the Qinling Mountains-Huaihe River Line and north of the Yangtze River area, that agricultural eco-efficiency is mainly affected by pure technical efficiency, and that highly efficient areas are mainly concentrated in the densely populated areas, i.e., the economic developed areas (except Tibet). The Theil index results show that the agricultural eco-efficiency difference weakened between provinces in China, as did western and northeast regions, but eastern and central regions show a slight upward trend.

show abstract

Section: Data Selection and Dmumentioning

confidence: 99%

Measuring Eco-Efficiency of Agriculture in China

et al. 2016

View full text Add to dashboard Cite

show abstract

“…DEA is widely applied to efficiency measurement of decision making units (DMUs) in various industries, including agriculture [6,7], industry [8,9] and service industry-such as finance [10,11], education [12,13], retail [14,15], healthcare service and so on. Thereby, in the field of healthcare service, the applications of DEA method mainly focus on the simple efficiency measurement of medical and healthcare institutions or organizations.…”

Section: Introductionmentioning

confidence: 99%

Performance Measurement of Healthcare Service and Association Discussion between Quality and Efficiency: Evidence from 31 Provinces of Mainland China

2017

Sustainability

View full text Add to dashboard Cite

Performance of healthcare service includes quality and efficiency, so there is inevitably an association between them. In general, it is believed that there is a trade-off between quality and efficiency; however, we prove that it is not completely accurate. We take the quality as an additional output to measure the healthcare service efficiency creatively, and discuss the association between quality and efficiency based on the effect of quality on relative efficiency. Firstly, we use TOPSIS method to calculate relative quality index values of healthcare service of 31 provinces of mainland China. This practice ensures the consistent comparison of 31 provinces' qualities. Subsequently, we measure the 31 provinces' relative performances and efficiencies of healthcare service with consideration of quality or not, by constructing DEA models. Then, we analyze the association between quality and efficiency from each group of the national, east, central and west, and conclude that the association between them is different along with their advantage degrees of quality and efficiency. Finally, we use the Tobit regression method to test 12 environment variables' net impacts on efficiency values both with consideration of quality or not. The results indicate that the main drivers of healthcare service efficiency are different when we take quality as an additional output or not. This article contributes to the field of performance measurement of healthcare service, puts forward a new method to integrate quality and efficiency and provides management guidelines.

show abstract

“…According to t he latest OECD policy classification criteria (OECD 2009) and the research conducted (Zong and Li 2006;Gao and He 2010;Galanopoulos et al 2011;Atici and Podinovski 2015;Liu et al 2015), the indicator system which this paper set up is as shown in Table 2. Overall, this paper use six inputs (PSE, GSSE, labour, sown-area, machinery, fertilizer) in our DEA models.…”

Section: Indicator Selectionmentioning

confidence: 99%

Application of the DEA on the performance evaluation of the agricultural support policy in China

Wang¹,

Zhang²,

Zhang³

2017

Agric. Econ. - Czech

View full text Add to dashboard Cite

The paper utilizes the data envelopment analysis (DEA) method based on the OECD policy classification to evaluate the performance of the agricultural support policy at the provincial and agricultural commodity levels from the respective viewpoints of agricultural input and output. The analysis at the provincial level mainly focuses on the similarities and differences in the performance of the agricultural support policies between the primary grain-producing areas and the secondary grain-producing areas; at the agricultural commodity level, 17 representative Chinese agricultural commodities are selected and their performance compared. The results are then used to proffer suggestions for the future agricultural support policy optimization in China. The paper found that 50% of the provinces were DEA-efficient, in general, during the study period due to the low overall province-level scale efficiency. The performance values of the secondary grain-producing areas were significantly lower than those of the primary grain-producing areas due to the overall low scale and technical efficiency values. These results show that the support policies for agricultural commodities in China altogether require a further improvement, mainly due to the low technical efficiency of agricultural commodities.

show abstract

Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture

Cited by 92 publications

References 40 publications

Measuring Eco-Efficiency of Agriculture in China

Measuring Eco-Efficiency of Agriculture in China

Performance Measurement of Healthcare Service and Association Discussion between Quality and Efficiency: Evidence from 31 Provinces of Mainland China

Application of the DEA on the performance evaluation of the agricultural support policy in China

Contact Info

Product

Resources

About