Search results

Purpose – This study constitutes a first attempt to experimentally test the performance of a 100% auction versus a 100% free allocation of CO2 permits under the rules and parameters that mimic the EU ETS (imperfect competition, uncertainty in emissions' control, and allowing banking), with environmental targets more restrictive than the current ones but foreseeable for the near future.

Methodology/approach – Two experimental treatments were run to achieve our goal. Both included the rules and the parameters that parallel the EU ETS structure, the only difference being the rule for the primary allocation of permits.

Findings – Our experimental results indicate that the EU ETS has the potential to reduce CO2 emissions, achieving targets considerably more restrictive than the current ones at high efficiency levels, both with auctioned and free emission permits.

Practical implications – Concerns about undue scarcity, and corresponding high prices, in secondary markets generated by a primary auction market are not warranted under the proposed dynamic auction format. This adds arguments favoring auctioning over grandfathering as the rule for the initial allocation of emission permits in the EU ETS.

Originality/value of chapter – This study implements a theoretically appropriate auction format for the primary allocation of emission permits (the Ausubel (2004) auction) and incorporates a first attempt to include in the analysis measures of the risk preferences of subjects participating in emission permits experiments. These characteristics are for the first time implemented under a complex experimental design (including uncertainty of emission abatement, and banking), trying to parallel the EU ETS trading environment.

Purpose – The chapter reports a laboratory emissions trading experiment with imperfect enforcement that introduces environmental framing as a treatment variable.

Methodology – The research uses the methodology of laboratory experimental economics. In the current design, subjects self-reported their “emissions” at the end of each trading period and were inspected probabilistically and fined when they underreported.

Findings – Transaction volume and compliance rates were significantly lower in the environmentally framed condition, compared to the more standard neutrally framed control.

Practical implications – The latter result suggests that environmental framing reduced subjects' incentives to honestly report “pollution” to the experimental “regulator.” As experimenters employ more “framed field experiments” outside the lab, it may be important to evaluate such pure framing effects in the lab if a main research goal is to compare lab and field experiment outcomes.

Originality/value – Experimental economics research rarely manipulates environmental framing as a treatment variable. The substantial impact of framing on subject behavior documented in this study highlights its importance, particularly in the presence of moral concerns such as honest reporting.

An interdisciplinary model network consisting of the regional agricultural economic model RAUMIS and the hydro(geo)logical models GROWA/WEKU is used to analyze the effect of different scenarios of maximum agricultural nitrogen balance surplus on water quality. The study area is the federal state of Lower Saxony, Germany, which features heterogeneous natural site conditions as well as agricultural production structures. A focus of the study is the modeling of supra-regional manure transports that, according to the model's results, considerably increase due to a lowering of maximum nitrogen balance surpluses. The assessment of the examined nitrogen reduction measures reveals that adequate indicators have to be applied. In this regard, the model results show that even though the analyzed measure leads to a substantial overall reduction of agricultural nitrogen surpluses, nitrogen discharges into surface and groundwater can regionally increase.

Logistics as a sector has a key role to play in reducing greenhouse gas emissions and in reducing the dependency of our economy on non-renewable energy sources. The challenges are enormous: by 2050 the sector needs to have achieved about 50% lower fossil fuel use and CO₂ emissions. If freight volumes grow according to expectations, this requires over 70% less CO₂ emissions per unit of transport. This chapter explores the options for reducing CO₂ emissions from freight transport and their reduction potential, and analyses whether the logistic sector would be likely to achieve the required reduction based on its intrinsic drive for cost reduction alone.

In this conceptual chapter we identify options for sustainable logistics and discuss the necessary economic conditions for their deployment using a simple cost/benefit analysis framework. We distinguish between three regimes of measures for improving sustainability: efficiency measures with net negative costs (‘low hanging fruit’), cost-neutral measures and measures that allow to reach societal targets at net positive costs. Policy measures are discussed that may help the sector to implement cost-effective greenhouse gas abatement measures that, in the absence of incentives, go beyond the point of lowest cost from an end user perspective.

Sufficient energy saving options are available to be implemented in the short to medium term, which can lead to operational cost savings with a short return on investments period. The potential contribution of the logistics sector to sustainability is larger, however, as logistics can make large steps ahead in sustainability with cost neutrality or with small cost increases. The full potential has been underrated by many stakeholders and should be explored further.

Efficiency measures are a necessary but insufficient condition for sustainable logistics. The industry will need to go beyond cost saving measures, or even cost-neutral measures to reach the long-term energy saving and emission reduction targets for freight transport. We provide a systematic presentation of these options and discuss the additional necessary measures.