A two-stage DEA approach for quantifying and analysing the inefficiency of conventional and organic rain-fed cereals in Spain

Gutiérrez, Ester; Aguilera, Eduardo; Lozano, Sebastián; Guzmán, Gloria I.

doi:10.1016/j.jclepro.2017.02.104

Cited by 39 publications

(17 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Fertilizer use efficiency from an agronomic perspective is usually measured in experiments under strict conditions that do not always reflect real farmers' management (Gutierrez et al, 2017); consequently, many scholars turn to research fertilizer use efficiency from the perspective of economics. The input use efficiency is defined and measured by the ratio of minimum feasible to observed use of an input when keeping the observed levels of output and other inputs constant (Reinhard et al, 1999;Abay et al, 2004), and it mainly focuses on water use efficiency (Malano et al, 2004;Rodriguez et al, 2004;Speelman et al, 2008) and pesticide use efficiency (Oude Lansink and Silva, 2004;Singbo et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Assessing fertilizer use efficiency and its determinants for apple production in China

Bai

Wang

Huo

et al. 2019

Ecological Indicators

View full text Add to dashboard Cite

Overuse of chemical fertilizer in apple production has resulted in environmental contamination in China. Existing research related to fertilizer use efficiency has focused on grain crops, and few studies have considered cash crops despite the significant structural shift of fertilizer application from grain to cash crops and the impacts of climate factors on fertilizer use efficiency. This paper employed a stochastic frontier method to examine the technical efficiency and fertilizer use efficiency of apple production by adopting panel data of eight major apple production provinces in China from 1992 to 2014. Further, the panel random-effects Tobit model was used to explore the factors influencing fertilizer use efficiency. The fertilizer use efficiency score ranged within 0.002-0.878, with a mean value of 0.472, which was much lower and had greater variability than technical efficiency with an average value of 0.868. Irrigation fees, land size, non-agricultural employment opportunities, apple planting area ratio and fertilizer prices had significant positive effects on fertilizer use efficiency in apple production. Disaster ratio, precipitation, sunshine hours, and apple prices had a significant negative effect on fertilizer use efficiency. Formula fertilizer promoted by governments had no significant effect on improving fertilizer use efficiency. Fertilizer use efficiencies are more sensitive to education level and fertilizer price than non-agricultural employment opportunity and land size, and it is weakly sensitive to climate factors, apple price, and apple planting area ratio. Policies aimed at improving fertilizer use efficiency and reducing environment pollution should, therefore, focus on promoting non-agricultural employment opportunities and land circulation, strengthening and expanding rural extension services, raising environmental protection awareness and controlling fertilizer price, and encouraging farmers to adopt new production technology.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessing fertilizer use efficiency and its determinants for apple production in China

Bai

Wang

Huo

et al. 2019

Ecological Indicators

View full text Add to dashboard Cite

show abstract

“…SBI models are non-oriented. This demands that the normalization of the slacks is performed with the observed values of evaluated DMUs [32]. Indeed, this is what we analyze from an empirical approach.…”

Section: Methodsmentioning

confidence: 99%

Assessing the Efficiency of Sustainable Cities Using an Empirical Approach

et al. 2020

View full text Add to dashboard Cite

Sustainability is a multidisciplinary discipline posing a difficult problem as a result of its integrated assessment. From a broad perspective, it considers the impact of human activities (using different resources) and natural conditions on local environments. Urban development has been identified as one of the most important reasons for environmental and social degradation. To address the complexity of sustainability and its impact, policymakers need to be equipped with the right toolkit to foresee the integrated effect of projects and plans on urban sustainability more effectively in their policy design. In this paper, we propose a tool to assess the sustainable performance of urban areas through a common framework of indicators which provides an integrated measurement based on the relative efficiency of key input variables on desirable and undesirable outputs. Using Data Envelopment Analysis (DEA), we propose a procedure for determining the relative efficiency of relevant urban areas, proposing this method as a candidate for integrated sustainability measurement. The selection of variables is based on dimensions which can be addressed from a political perspective for achieving more desirable outputs, or reducing the undesirable ones, controlling for key resources as much as possible. Our analysis takes a comprehensive scope including an environmental and socioeconomic perspective. This will be useful to identify weaknesses and strengths to improve the integrated performance of cities. Our array of indicators, based on standardized key performance indicators (KPIs) will enable policymakers to gather an insightful impact of their proposals in urban sustainability carrying out a global sustainability impact assessment through DEA. The main goal is to gather the urban experience of transforming cities into smarter cities and putting technological progress at the service of their societies.

show abstract

“…One undesirable output, Total area-based greenhouse gases emissions (TAE, measured in kg CO2eq/ha) is also considered. Additional information on this dataset is provided in Gutiérrez et al (2017).…”

Section: Case Studymentioning

confidence: 99%

Lexicographic hyperbolic DEA

Lozano

Soltani

2019

Journal of the Operational Research Society

Self Cite

View full text Add to dashboard Cite

The hyperbolic distance function (HDF) reduces all inputs and increases all outputs simultaneously and at the same rate. Although the corresponding data envelopment analysis (DEA) model is non-linear, for constant returns to scale it can be linearized and for variable returns to scale an efficient iterative approach based on the directional distance function (DDF) model can be used. However, HDF does not necessarily project onto an efficient target. To remedy this, lexicographic hyperbolic DEA (LexHDEA) is proposed in this paper. Thus, before solving the HDF model, the input or output dimensions that can be improved are determined. A reduced HDF model is then solved, looking for improvements only in these dimensions. If the corresponding target is efficient, then no further steps are necessary. Otherwise, a reduced HDF model that improves only those dimensions that can be further improved is solved. If this improved target is efficient the process stops. Otherwise the process is repeated until eventually the efficient frontier is reached. In addition to guaranteeing an efficient target the proposed approach also computes an efficiency measure that has indication of efficiency and units invariance. The proposed approach can be extended to handle a preference structure, nondiscretionary variables and undesirable outputs.

show abstract

A two-stage DEA approach for quantifying and analysing the inefficiency of conventional and organic rain-fed cereals in Spain

Cited by 39 publications

References 50 publications

Assessing fertilizer use efficiency and its determinants for apple production in China

Assessing fertilizer use efficiency and its determinants for apple production in China

Assessing the Efficiency of Sustainable Cities Using an Empirical Approach

Lexicographic hyperbolic DEA

Contact Info

Product

Resources

About