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2016 | OriginalPaper | Buchkapitel

2. Allocative Challenges of Bioenergy Use

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Abstract

The chapter “Allocative Challenges of Bioenergy Use” conducts an economic analysis of the problems that arise when allocation decisions are coordinated by market forces alone, and the challenges that apply to regulative interventions in the market mechanism. As central normative criteria, the requirements of efficiency and sustainability are discussed. It is shown that when allocative problems such as the steering of biomass flows and technology choices, the setting of innovation incentives, and the steering of location and sourcing decisions are solved by the market mechanism alone, the outcome will not be efficient. Several market failures are identified which distort allocation decisions, namely environmental externalities, security of supply externalities, knowledge and learning externalities, the occurrence of market power in the energy sector, and dynamic market failures that inhibit market adjustment processes. Moreover, interactions between market actors are subject to information problems and transaction costs, and even if the market outcome was efficient, it need not be sustainable. Regulative interventions, on the other hand, are complicated by conflicting aims, information problems and transaction costs, the multi-level governance nature of the regulative problem, and conflicts between political and economic rationality considerations. For assessing policy interventions, requirements for a rational bioenergy policy are defined, which take the constraints imposed by imperfect information and political feasibility into account. However, the analysis demonstrates that the multiplicity of relevant, interacting market failures and sources of potential government failures makes compliance not only with sustainability and efficiency criteria, but also with rational bioenergy policy requirements, a challenging task.

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Fußnoten
1
If all such reallocations were undertaken, the outcome would be Pareto efficient, making the Kaldor-Hicks criterion a necessary condition for Pareto optimality (Stavins et al. 2003; Common and Stagl 2005: 311). However, the criterion’s focus on potential compensations which need not actually occur is subject to criticism, particularly in an intergenerational setting (Woodward and Bishop 1995; Azar 2000; Padilla 2002).
 
2
However, apart from perfect substitutability of the resources in question, the Hartwick rule requires that several other far-reaching assumptions hold, such as constant population, technology and preferences, and an intertemporally optimal allocation of resources which requires perfect foresight (Howarth 1997).
 
3
Moreover, it can be argued that bioenergy use always implies trade-offs with other forms of natural capital formation—a hectare of land used for energetic biomass production may contribute to the substitution of fossil fuels and GHG mitigation, and may possibly even enhance agricultural biodiversity, yet environmental benefits associated with a renaturation of the same area are foregone [cf. Jakubowski et al. (1997: 18), who find that, under scarcity, any form of environmental conservation is associated with environmental costs, if only in the form of opportunity costs].
 
4
Given that sustainability implies a “macro-perspective” (Woodward and Bishop 1995), it can be argued that sustainable bioenergy use is of limited usefulness, if the overall sustainability of the agricultural land use system is not ensured (for sustainability risks of agricultural production in general, see e.g. Henle et al. 2008; Hirschfeld et al. 2008; Oppermann et al. 2009). However, public incentives for bioenergy use add to existing sustainability problems, so that a “micro-perspective” can be justified, at least in the shorter term.
 
5
Jakubowski et al. (1997: 51) name “elasticity” as a third economic requirement, which calls for an elastic design of decisions about aims and their incremental implementation, in order to reflect uncertainty and the risk of incurring irreversibilities. However, elasticity entails trade-offs with the creation of constant framework conditions and planning security for economic actors, which shall be discussed in more detail in Chap. 3. For this reason, the requirement is neglected in the overview.
 
6
Employing the following assumptions (Fritsch 2011: 26): (i) The set of resources is given; (ii) No process and product innovation; (iii) Preferences are given and unchanging; (iv) Producers and consumers are free to choose between alternatives; (v) Products are homogeneous; (vi) Numerous buyers and sellers with small market shares; (vii) Perfect information and market transparency; (viii) Unlimited mobility of input factors and goods; (ix) Unlimited divisibility of input factors and goods; (x) Adjustment is infinitely quick; and (xi) No externalities, i.e. private costs equal social costs.
 
7
Strictly speaking, innovation is not considered in the perfect competition model’s static perspective—with perfect information and infinite adjustment speed, innovations would be taken up instantaneously by competitors, resulting in few incentives to invest in them (Mansfield 1994: 536f.).
 
8
Externalities arise when an actor engages in an activity that influences the well-being of a bystander and yet neither pays nor receives any compensation for that effect (cf. Baumol and Oates 1988: 17f.). Externalities cause private costs which determine private allocation decisions to deviate from social costs: In the presence of negative externalities, more of a good is produced than is socially optimal, while with positive externalities, too little is produced. Public goods, which are characterised by non-rivalry in consumption and/or non-excludability of potential consumers (Head 1962), are closely connected to externalities, in that many externalities arise from the public character of goods (e.g. investments in public goods knowledge or biodiversity produce external benefits) (Bator 1958: 18f.; Baumol and Oates 1988). Consequently, market failures arising from externalities and public goods are treated jointly here.
 
9
Moreover, “carbon neutrality” succumbs to a baseline error, in that the carbon sequestration that would occur if plants were not harvested and continued to absorb carbon from the air is neglected (Haberl et al. 2012).
 
10
In industrialised countries, where agricultural systems are already highly intensified and the agriculturally used area cannot easily be extended, additional biomass demand can primarily be met through the reactivation of fallow land, conversion of extensively used grassland, and productivity increases. In developing countries, where capital for an intensification of agricultural production is scarce relative to natural land availability, it is more likely that additional demand is met by expanding the agricultural area (FAO 2008; Kampman et al. 2010; Meyer et al. 2010).
 
11
The divergence between marginal social and private rates of return on R&D investments can be significant—typical estimates of marginal social rates of return range from 30 to 50 %, while private marginal rates of return on investments in physical capital typically lie between 7 and 15 % [see Pizer and Popp (2008) for an overview of studies].
 
12
Moreover, gas and electricity grids constitute classic natural monopolies; market failures arising from, for example, limited access and uncompetitive transmission prices shall be neglected here, given that natural monopolies are typically heavily regulated (cf. Bundeskartellamt and Bundesnetzagentur 2013).
 
13
In the German electricity sector, for example, large-scale fossil fuel and nuclear plants are traditionally the domain of four major electricity generating companies with a high combined market share (E.ON, RWE, Vattenfall, and EnBW), a structure going back to before the liberalisation of the electricity market. However, regulatory interventions, the expansion of renewable energies and the decommissioning of eight nuclear plants in 2011 have caused the market share of these companies to decline significantly in recent years (Bundeskartellamt and Bundesnetzagentur 2013: 19).
 
14
Inter alia, this can be due to a normative value being assigned to the maintenance of existing agricultural structures (cf. Gawel 2009: 547).
 
15
Of course, current levels of bioenergy use are determined by policy interventions, which distort resource allocation between food and energetic uses; nonetheless, if future fossil fuel price developments were to endow energetic uses with a higher ability to pay than food-related uses (following e.g. a comprehensive internalisation of external costs), the consequences for food security would be problematic.
 
16
Dynamic efficiency is a prerequisite for sustainability, in as far as that it ensures that the highest feasible constant level of utility is realised over time (Stavins et al. 2003).
 
17
For a more detailed analysis of relevant aims in the German and European case, see Sect. 4.​1.​1.
 
18
Uncertainties in climate models, for example, arise mainly from natural climate variability, an incomplete understanding of earth system processes and imperfections in their modelling representation, and uncertainty about future levels of anthropogenic GHG emissions (Jenkins et al. 2009: 14ff.).
 
19
Some parts of this section have been used in Purkus et al. (2015).
 
20
Especially important for net land use change results are assumptions concerning the crop mix used to produce biofuels and the integration of co-products, yield growth, the allocation of production changes to region and land type, and consumption changes in response to changes in relative prices (Keeney and Hertel 2009; Edwards et al. 2010; Laborde 2011; Broch et al. 2013).
 
21
Political transaction costs also encompass the costs of establishing, operating and changing the order of the political system itself, for example, through constitutional reforms and the creation of new administrative bodies (cf. Richter and Furubotn 2003: 63). As the political system can be assumed as given in the bioenergy context, these shall be neglected here.
 
22
In allocating responsibilities for environmental policy, the EU has adopted the principle of the appropriate level of action and the subsidiarity principle (Knill and Tosun 2008: 152). Nonetheless, in applying these principles to actual problems, considerable room remains for interpretation (Benz 2009: 27).
 
23
The spatial governance of the energy transition in Germany’s federal system provides another example of trade-offs between centralised and decentralised forms of governance (cf. Klagge 2013).
 
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Zurück zum Zitat Jenkins G, Murphy J, Sexton D, Lowe J, Jones P, Kilsby C (2009) UK climate projections: briefing report. Met Office Hadley Centre, Exeter Jenkins G, Murphy J, Sexton D, Lowe J, Jones P, Kilsby C (2009) UK climate projections: briefing report. Met Office Hadley Centre, Exeter
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Zurück zum Zitat Knight F (1921) Risk, uncertainty, and profit. Houghton Mifflin, Boston Knight F (1921) Risk, uncertainty, and profit. Houghton Mifflin, Boston
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Zurück zum Zitat Köder L, Burger A, Eckermann F (2014) Umweltschädliche Subventionen in Deutschland 2014. Aktualisierte Ausgabe 2014. Umweltbundesamt, Dessau Köder L, Burger A, Eckermann F (2014) Umweltschädliche Subventionen in Deutschland 2014. Aktualisierte Ausgabe 2014. Umweltbundesamt, Dessau
Zurück zum Zitat König A (2011) Cost efficient utilisation of biomass in the German energy system in the context of energy and environmental policies. Energy Policy 39(2):628–636CrossRef König A (2011) Cost efficient utilisation of biomass in the German energy system in the context of energy and environmental policies. Energy Policy 39(2):628–636CrossRef
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Zurück zum Zitat Krampe L, Peter F (2014) Letztverbrauch 2019. Planungsprämissen für die Berechnung der EEG-Umlage. Dokumentation—Endbericht für die Übertragungsnetzbetreiber. Prognos, Berlin Krampe L, Peter F (2014) Letztverbrauch 2019. Planungsprämissen für die Berechnung der EEG-Umlage. Dokumentation—Endbericht für die Übertragungsnetzbetreiber. Prognos, Berlin
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Metadaten
Titel
Allocative Challenges of Bioenergy Use
verfasst von
Alexandra Purkus
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-31135-7_2