Estimation of the shadow prices of pollutants with production/environment inefficiency taken into account: a nonparametric directional distance function approach

Lee, Jeong‐Dong; Park, Jong-Bok; Kim, Tai-Yoo

doi:10.1006/jema.2001.0480

Cited by 224 publications

(109 citation statements)

References 10 publications

(20 reference statements)

Supporting

Mentioning

105

Contrasting

Unclassified

Order By: Relevance

“…Following Ball et al (1994) and according to the duality between the directional distance function and the revenue function (Färe et al, 2004a), the following equivalence may be expressed, by which the shadow price of the undesirable outputs is computed [2] where and are the dual variables associated with each restriction in the following linear program (3) (Ball et al, 1994;Lee et al, 2002;Shaik et al, 2002;Oude-Lansink and Silva, 2004). These dual variables give a measure of the effect on the distance (or the efficiency) of a change on these constraints 1 .…”

Section: Methodology Data Envelopment Analysis (Dea) Model For the Comentioning

confidence: 99%

Pollution shadow prices in conventional and organic farming: an application in a Mediterranean context

Arandia¹,

Aldanondo-Ochoa²

2011

Span. j. agric. res.

View full text Add to dashboard Cite

Organic farming integrates environmental concerns and criteria within farm management practices in order to reducethe environmental impact of agricultural production. In this paper, the shadow price of two of the main indicators of pollution arising from agricultural practices, nitrogen surplus and impact of pesticides, are calculated and compared in a context of Mediterranean climate and cultures. Results show that it is more costly for organic farms to reduce their levels of pollution emission than for conventional farms. This may be due to the fact that the specific regulations on organic farming restrict agricultural practices to a larger degree than current restrictions affecting conventional farming. These results suggest that organic farming might be an adequate answer to part of the environmental problems provoked by conventional farming.

show abstract

Section: Methodology Data Envelopment Analysis (Dea) Model For the Comentioning

confidence: 99%

Pollution shadow prices in conventional and organic farming: an application in a Mediterranean context

Arandia¹,

Aldanondo-Ochoa²

2011

Span. j. agric. res.

View full text Add to dashboard Cite

show abstract

“…DEA estimation is based on linear programming, and it aims to construct a piecewise linear combination of all observed inputs and outputs. Examples include Boyd et al (2002), Kaneko et al (2010), Lee et al (2002), Maradan and Vassiliev (2005) and Choi et al (2012) etc. The major advantage of the DEA approach is that it does not need to impose a specific functional form on the underlying technology (Zhang and Choi, 2014) 4 .…”

Section: Supply-side/production-based Maccmentioning

confidence: 99%

Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis

Hanley

Wei

2015

Energy Economics

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may

show abstract

“…According to Shephard's output distance function, Boyd et al [14] used the gradient vector of the output distance function to estimate the shadow price of pollutants. Based on the directional distance function [15], Lee et al [16] added non-efficiency factors into the linear programming model to evaluate the shadow price of pollutants.…”

Section: Open Accessmentioning

confidence: 99%

Energy’s Shadow Price and Energy Efficiency in China: A Non-Parametric Input Distance Function Analysis

2015

View full text Add to dashboard Cite

This paper extends prior research on energy inefficiency in China by utilizing a unique shadow price framework allocation in 30 Chinese provinces. We estimate the shadow price for energy input using the framework of production, and use the ratio of the shadow price to the market price to describe energy utilization. Using Chinese provincial-level data from 1998 to 2011, the results of the analysis reveal that shadow prices in China have grown rapidly during the sample period, which signifies that China has improved its performance in energy utilization since 1998. However, there are eighteen provinces whose shadow prices are lower than market prices. This result suggests that energy utilization is at a low level in these provinces and can be improved by a reallocation of inputs.

show abstract

Estimation of the shadow prices of pollutants with production/environment inefficiency taken into account: a nonparametric directional distance function approach

Cited by 224 publications

References 10 publications

Pollution shadow prices in conventional and organic farming: an application in a Mediterranean context

Pollution shadow prices in conventional and organic farming: an application in a Mediterranean context

Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis

Energy’s Shadow Price and Energy Efficiency in China: A Non-Parametric Input Distance Function Analysis

Contact Info

Product

Resources

About