Assessing farming eco-efficiency: A Data Envelopment Analysis approach

Picazo‐Tadeo, Andrés J.; Gómez‐Limón, José A.; Reig-Martı́nez, Ernest

doi:10.1016/j.jenvman.2010.11.025

Cited by 315 publications

(234 citation statements)

References 45 publications

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“…The DEA is a non-parametric methodology pioneered by Charnes et al (1978) and aimed at evaluating the relative efficiencies of comparable decision-making units (hereafter DMUs) by the means of a variety of mathematical programming models. One recognized advantage of the DEA is that it allows a researcher to evaluate the performance of the individual DMUs taking into account only the observed quantities of marketable inputs and outputs and does not require an assumption of a functional form relating inputs to outputs (Picazo-Tadeo et al 2011). Instead, a piecewise linear frontier is constructed based on empirical observations on inputs and outputs of a sample of DMUs.…”

Section: Methodsmentioning

confidence: 99%

Technical efficiency and its determinants in the European Union

Nowak¹,

Kijek²,

Domańska³

2015

AGR ECON-CZECH

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The study concerns the measurement of the technical efficiency of agriculture in the 27 European Union (EU) countries in 2010. The studies were conducted based on the result-oriented DEA method assuming variable advantages of scale. Moreover, in the study, the factors affecting technical efficiency were identified, and the econometric modelling of their impact was performed with the use of the Tobit model. The studies indicate that across the 27 EU Member States, the level of the technical efficiency of agriculture is diverse, and the difference between the states with the highest and the lowest efficiencies is 40%. Cyprus, Denmark, Greece, France, Spain, the Netherlands, Luxembourg, Italy and Malta were identified as the countries with the thoroughly technically efficient agriculture. In turn, the least technically efficient agriculture is observed for the Czech Republic, Lithuania, Hungary, Ireland, Latvia and Slovakia. Taking into account the factors determining the technical agriculture efficiency, it should be noted that the stimulants have proven to be such factors as: the soil quality, the age of the head of the household and the surcharges for investments. In turn, the size of the farm appeared to be irrelevant from the viewpoint of the technical efficiency of the agricultural sector.

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Section: Methodsmentioning

confidence: 99%

Technical efficiency and its determinants in the European Union

Nowak¹,

Kijek²,

Domańska³

2015

AGR ECON-CZECH

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“…Recently, the data envelopment analysis (DEA) model has played an important role for eco-efficiency analysis, based on its specific advantages (Wu, 2006). It is now widely applied on different scales (Picazo-Tadeo et al, 2011;Oggioni et al, 2011;Iribarren et al, 2011), especially for systems with multiple inputs and outputs in different dimensions.…”

Section: Introductionmentioning

confidence: 99%

Using eco-efficiency as an indicator for sustainable urban development: A case study of Chinese provincial capital cities

Yin

Wang

et al. 2014

Ecological Indicators

204

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a b s t r a c tUrbanisation in China has resulted in an increased consumption of resources, energy and materials and led to negative environmental effects. All of these factors have motivated the widely discussed topic of urban sustainable development in China. The core of this discussion is how to quantitatively measure urban sustainable development. This research uses eco-efficiency as an indicator to measure urban sustainable development. A data envelopment analysis model was applied to eco-efficiency analysis using environmental pollution as an undesirable output, and a super-efficiency model was modified for ranking. Using real datum for 30 Chinese provincial capital cities, an empirical study was employed to describe their eco-efficiency. The results show that: almost half of the cities are fairly eco-efficient. The inefficient cities are mainly located in the southwest and northwest of China, which are the undeveloped economic zones, while some of the eco-efficient cities have more environmental pollution and consume more land, energy and water. When ranking cities using a modified model, it was found that Haikou, Fuzhou and Beijing were the top three most eco-efficient cities, while Yinchuan, Lanzhou, Guiyang were the bottom three. When exploring the driving force of eco-efficiency, this paper proposes changing the GDP-oriented growth model and appraisal system, continuously transforming and upgrading the industrial structure and stopping the migration of heavy industry from east to west, south to north and city to countryside.

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“…In this paper, it is supposed that technology exhibits constant returns to scale, by allowing the sum of the elements of intensity vector to be free for the following reasons: First, ecological perspective and economic activity are commonly characterized by the constant returns to scale since what really matters from this view is the inputs and undesirable outputs exerted on the environment and not their distribution among different regions [39]. The constant returns to scale approach was used in previous papers, including Kuosmanen and Kortelainen [40].…”

Section: The Directional Distance Function Measure (Ddfm) Model and Smentioning

confidence: 99%

An Improved Eco-Efficiency Analysis Framework Based on Slacks-Based Measure Method

Gao

et al. 2017

Sustainability

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Abstract:The level of sustainable development can be measured by eco-efficiency, which is a combination of economic and ecological performance. Utilizing the weighted sum of the improved proportions of the indicators as the objective function, this paper develops a proportional slacks-based measure model to assess eco-efficiency, in which the conventional inputs, and desirable and undesirable outputs are improved to different proportions along the elements of a given directional vector. Moreover, this paper presents a weighted proportional slacks-based measure model using the ranges as the divisors instead of the input and output values in the objective function. Finally, this paper presents an empirical analysis by applying proposed measure models with the data of 30 provinces in China in 2015. The empirical study results indicate the developed slacks-based measure models can be used in the assessment of eco-efficiency effectively and reasonably.

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Assessing farming eco-efficiency: A Data Envelopment Analysis approach

Cited by 315 publications

References 45 publications

Technical efficiency and its determinants in the European Union

Technical efficiency and its determinants in the European Union

Using eco-efficiency as an indicator for sustainable urban development: A case study of Chinese provincial capital cities

An Improved Eco-Efficiency Analysis Framework Based on Slacks-Based Measure Method

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