Reducing Pesticide Use and Pesticide Impact by Productivity Growth: the Case of Dutch Arable Farming

Abstract

This paper employs a dynamic Data Envelopment Analysis (DEA) model to measure the composition of productivity growth of pesticides and the environmental impacts of pesticides. The application focuses on panel data of Dutch arable farms over the period 2003-07. A bootstrap regression model is used to explain farmers' performance, providing empirical evidence of the impact of producer-specific characteristics and environmental factors. The results show that Dutch arable farms have substantial inefficiency in the use of pesticides and high pesticide environmental inefficiency, and appear rather unconcerned about the environmental impacts of their current pesticide use decisions on next period's production environment.

Input‐Specific Dynamic Productivity Change: Measurement and Application to European Dairy Manufacturing Firms

“…More recently, the directional distance approaches using the Luenberger‐based indicators have been addressed by Mahlberg and Sahoo (), Chang et al . (), Skevas and Oude Lansink (), Mahlberg and Luptacik () and Kapelko et al . ().…”

“… The paper by Skevas and Oude Lansink () applies a DEA approach to account for the impact of pesticides use on future periods production environments. Their approach to measuring input‐specific productivity growth does not account for adjustment costs induced by investments. …”

Measuring Inefficiency for Specific Inputs Using Data Envelopment Analysis: Evidence from Construction Industry in Spain and Portugal

“…These models are based on the directional slack-based measure proposed by Fukuyama and Weber (2009), which incorporated directional distance function technology into the slackbased measure. Examples of such models include that outlined by Skevas and Oude Lansink (2014), which provided evidence of inefficiency in the use of pesticides in Dutch arable farming, and the model put forth by Zhou et al (2012), which estimated energy and CO 2 -emission performance in electricity generation in OECD countries. 1 Earlier attempts to analyze inefficiency with regard to the use of specific inputs include the work of Banker et al (1989) that use the concept of inefficiency of individual input as the amount of excess input plus the slack.…”

“…However, as the present study focuses on the input-specific inefficiency analysis in the specific point in time, those papers are not reviewed. Note that papers of Oude Lansink and Ondersteijn (2006) and Skevas and Oude Lansink (2014), in addition to analyzing input-specific inefficiency, also apply the input-specific productivity growth measures.…”

Economic analysis of technological innovations to improve sustainability of pangasius production in Vietnam

“…The advantage of DEA over a parametric approach such as stochastic frontier analysis is that it does not impose any specific functional form on the production technology (Fried et al 2008;Skevas and Oude Lansink 2014). DEA is also useful for the efficiency analysis in the presence of multiple inputs and outputs (Fried et al 2008).…”