Backcasting energy futures using industrial ecology

Backcasting has been widely used for developing energy futures. This paper explores the potential for using industrial ecology to guide the development of energy futures within a backcasting framework. Building on the backcasting work of Robinson [1], a seven step method is presented to embed industrial ecology principles within the development and assessment of future scenarios and transition paths toward them. The approach is applied to the case of backcasting regional energy futures in the Latrobe Valley, near Melbourne, Australia. This region has substantial brown coal deposits which are currently mined and used in coal-fired power stations to generate electricity. Bounded by a sustainability vision for the region in a carbon-constrained world, regional industrial ecologies in 2050 were backcast around three themes: bio-industries and renewables (no coal usage); electricity from coal with carbon capture and storage (low to high coal usage); and coal to products such as hydrogen, ammonia, diesel, methanol, plastics and char (demonstrating medium to high overall coal use relative to current levels). Potential environmental, technological, socio-political and economic impacts of each scenario across various life cycle stages were characterised. Results offer a platform for regional policy development to underpin deliberation on a preferred future by the community, industry and other stakeholders. Industrial ecology principles were found to be useful in backcasting for creatively articulating alternative futures featuring industrial symbiosis. However, enabling the approach to guide implementation of sustainable transition pathways requires further development and would benefit from integration within the Strategic Sustainable Development framework of Robèrt et al. [2].     

Backcasting images of the future city—Time and space for sustainable development in Stockholm

This paper presents and discusses a backcasting study for Stockholm 2050. The focus is on developing images of a future where Stockholm citizens have sustainable energy use—here defined as a 60% reduction per capita over a 50-year period. The perspective is that of households, so all energy is allocated to individuals’ activities rather than being discussed from a sector perspective. Six images of the future are developed by combining a space dimension (three versions of changes in urban structure) and a time dimension (two versions of people's life tempo). Added to this is technological development, so that the images of the future illustrate how combinations of planning, behavioural change and technological development could lead to sustainable energy use.     

Alternative Strategies for Monetary Policy

The aim of the paper is to emphasize the importance of the central bank's alternative strategies for macroeconomic equilibrium. Using a constrained maximization process founded on a behavioural equation, we underscore the relevance, for monetary policy, of the assumptions adopted by policymakers regarding how the economic system works. In particular, under a flexible exchange rate regime, the relevant hypotheses are those concerning the supply curve. Under a fixed exchange rate regime the relevant assumptions are those related to the maintenance of the currency agreements and to the internal sustainability of an interest rate setting policy. We demonstrate that these hypotheses define the objective pursued and the strategy followed. Furthermore, if they do not coincide with the actual characteristics of the market, the adjustment dynamics of aggregate income and inflation do not allow convergence toward equilibrium. We use the tools of New Consensus Macroeconomics to discuss the implications of the model and to offer an enhanced analytical framework for teaching intermediate macroeconomics without necessarily adopting the mainstream hypotheses.     

A matter of opinion—How ecological and neoclassical environmental economists and think about sustainability and economics

The differing paradigms of ecological and neoclassical environmental economics have been described in various articles and books and are also embedded in different professional associations. However, we cannot take for granted that the paradigm debates described in the literature are actually mirrored in exactly the same way in the perceptions and opinions of researchers looking at sustainability from an economic perspective. This paper presents empirical results from a German case study on how economists and others involved in sustainability research from different schools of thought think about the issues of sustainability and economics, how they group around these issues, how they feel about the current scientific divide, and what they expect to be future topics of sustainability research.We analyze the data using cluster analysis. Based on a literature survey, we generated forty sustainability economics-related statements and asked 196 sustainability researchers about their degree of agreement or disagreement with these statements. In evaluating our survey results, we discuss to what extent the clusters that we identified do—or do not—represent the two schools of thought of ecological and neoclassical environmental economics. We also propose some fields of research that can help to bridge the gaps amongst sustainability economics researchers while clearly marking others that are more suitable for a scientific ‘competition of ideas’. Key results of the study are: We identify two primary scientific clusters, one clearly confirming the existence of the ecological-economics school of thought, and the other largely capturing the neoclassical environmental view. Yet, there are some surprising exceptions: Both schools of thought share a conceptual definition of sustainability that is integrative in considering ecological, societal and economic dimensions (‘three pillar concept’) and is geared at preserving the development potentials of society. We also find a shared critique of ‘pure economic growth’ strategies in our sample. These shared opinions may provide bridging concepts between the schools of thought. Also both clusters agree with respect to a wide range of future fields of sustainability economics research. Yet, the research agenda of the ecological-economics cluster contains a large number of additional topics, primarily related to social, distributional and evolutionary aspects of sustainable development. Strong divides between the clusters that seem to be more suitable for a scientific competition of ideas are primarily related to the question of how to achieve sustainability, including appropriate environmental policies.     

Combining participative backcasting and exploratory scenario development: Experiences from the SCENES project

Social, natural and cultural systems are changing rapidly, influencing the future of Europe's fresh waters. One of the drivers shaping this future is the implementation of the Water Framework Directive. Participatory scenario development is well-suited to the challenges posed by the WFD to develop a long-term view by involving stakeholders. In this paper we analyse the process and results of a series of stakeholder workshops to develop scenarios at pan-European level. Specifically, we aim at analysing the method and results of combining a backcasting methodology and exploratory scenario development process. Four exploratory scenarios (narrative storylines) were developed, in first instance based on a set of existing European scenarios. Results matched expectations; the process produced stories that are complex, integrated, and rich in detail. During the backcasting exercise, four timelines were constructed, each of which took one exploratory scenario as context. The backcasting process established a strong link with the exploratory scenarios by identifying a large number of obstacles and opportunities in the realisation of those timelines. An analysis across all backcasts yielded a list of 15 robust elements, i.e. elements that are potentially effective in all exploratory scenarios. A stakeholder questionnaire showed that overall there was a widespread satisfaction with both the process and the results. Stakeholders were satisfied with the overall methodology and the exploratory scenarios and somewhat more critical on the backcasting exercise and resulting robust strategies. Above all, we hope to have demonstrated that it is conceptually appealing, methodologically feasible, and practically useful to combine exploratory scenario development and backcasting analysis.     

Are natural gas spot and futures prices predictable?

We answer two questions concerning natural gas spot and futures prices. The first is: Can natural gas futures prices predict natural gas spot prices? The second is: Are natural gas spot and futures prices weak form efficient or can they be predicted based on examination of historical data? To answer these questions, we use daily data for Henry Hub natural gas spot and futures prices. Our answer to the first question is that natural gas futures prices do not predict the magnitude of future natural gas spot prices any better than what would be predicted by a random walk model. This result has important implications for many financial analysts and policy institutions that have used commodity futures prices to predict movements in spot prices. The answer to the second question is that when we apply a unit root test that allows for heteroskedasticity and two structural breaks, natural gas spot and futures prices are predictable. We then simulate a contrarian trading strategy for spot and futures prices to show under what circumstances trading in spot and futures prices are also profitable. The results point to the need to accommodate heteroskedasticity when applying unit root tests to model energy spot and futures prices with high-frequency data, such as daily data.     

Modelling price pressure in financial markets

We present experimental evidence that, unlike traditional assumptions in economic theory, security prices do not respond to pressure from their own excess demand. Instead, prices respond to excess demand of all securities, despite the absence of a direct link between markets. We propose a model of price pressure that explains these findings. In our model, agents set order prices that reflect the marginal valuation of desired future holdings, called “aspiration levels.”In the short run, as agents encounter difficulties executing their orders, they scale back their aspiration levels. Marginal valuations, order prices, and hence, transaction prices change correspondingly. The resulting price adjustment process coincides with the Global Newton Method. The assumptions of the model as well as its empirical implications are fully borne out by the data. Our model thus provides an economic foundation for why markets appear to search for equilibrium according to Newton’s procedure.     

The effects of wind generation capacity on electricity prices and generation costs: a Monte Carlo analysis

We use Monte Carlo analysis to examine the potential of increased renewable generation to provide a hedge against variability in energy prices and costs. Fuel costs, electricity demand and wind generation are allowed to vary and a unit commitment and economic dispatch algorithm is employed to produce cost-minimizing generation schedules under different levels of installed wind capacity. Increased wind capacity reduces the mean and the variance of production costs but only the variance of electricity prices. Wind generators see their market revenues increase while consumer payments and fossil generator profits do not considerably vary as wind capacity increases. Risk aversion is captured by considering the conditional value-at-risk for both consumers and producers. The optimal level of wind generation increases as risk aversion increases due to the potential of wind to act as a hedge against very high electricity prices in high fuel price scenarios.     

WHAT CAN ECONOMIC ANALYSIS CONTRIBUTE TO THE ‘SUSTAINABILITY’ DEBATE?

Economics generally, and benefit-cost analysis in particular, are not substitutes for values. They are tools of analysis that rest on assumptions about values. The primary role for economics in normative analysis is to provide information about efficiently achieving that which is valued, not to make the decision. The major economic tool for analyzing normative issues is benefit-cost analysis. This paper considers the role of benefit-cost analysis in addressing the sustainability debate. The notion of "sustain-ability" raises concerns about values held by society. The analysis here addresses several issues within the sustainability debate: concerns about intergenerational equity including the appropriate discount rate for projects with environmental consequences; implications for burdens on future generations; and the moral basis for benefit-cost analysis. The authors argue that the correct discount rate for all such projects is the social rate of time preference, and that suggestions for using lower discount rates result from attempting to prevent inequities by adjusting prices. Additionally, the authors argue that economic analysis, especially benefit-cost analysis, can play a useful role in providing information to decision makers, who ultimately will face resource allocation issues as they seek to implement policies promoting sustainability.     

Schumpeterian dynamics : Some methodological notes

The main purpose of this paper is to define ‘Schumpeterian dynamics’ and to indicate how it can serve as a basis and starting point for studies in development economics irrespective of how Schumpeter used his general approach and what kind of hypotheses he launched. Schumpeterian dynamics is characterized by its focus on economic transformation. This implies that the main interest is in causal chains outside the scope of macroeconomic growth analyses, namely in disequilibria and chain effects created inter alia by entrepreneurial activities, market processes and competition as a dynamic force. The micro underpinnings of such analyses therefore differ from those of growth models which deal with aggregates, such as investments and saving, productivity, income distribution, wage shares in value added, and capital/output ratios. Seen through Schumpeterian glasses, the micro units have no well-defined generalizable ‘propensities’, and they are not fully informed calculators reacting in a mechanical way to prices that they cannot influence. Instead, firms continuously seek new information and often search for projects which, if carried out, exert transformation pressure on the markets. Consumers can also actively influence firms and markets and do not only passively react to supply prices. Transformation analyses should not replace macroeconomic growth models, but a change of roles is called for. Such analyses have too long and too often been regarded as empirical complements to growth analyses and therefore as belonging mainly to the domain of economic historians. The stress on ‘complement’ instead of ‘alternative’ implies that some sort of a synthesis should be sought in theoretical as well as in empirical research.     

Decreasing energy use in buildings by 50% by 2050 — A backcasting study using stakeholder groups

This paper describes a backcasting study focusing on fulfilment of a national target to decrease energy consumption in residential and commercial buildings by 50% by 2050 compared with the consumption in 1995, and identifying possible measures for achieving it. A method based on a combination of backcasting methodology and focus group methodology was used. Two different scenarios were developed. They were used in discussions with stakeholders in the building sector, to explore and identify measures and actors important for target fulfillment. The main outcomes were ideas for strategies and measures needed to achieve the target. The current potential for target fulfilment was also analysed and discussed. The discussions in the different stakeholder groups were mainly concerned with changes in attitude and behaviour and the need for radical changes in social structures. For example, enhanced communication between actors in the building chain, and the need for relevant feedback in order to illustrate the link between the effort in decreasing energy use and actual outcome. The findings suggest that there is sufficient technical potential to achieve the target by 2050 but that this potential will not be realised to a sufficient extent. Achieving the target would be facilitated by policy that is oriented more towards identifying actors with direct influence to promote change. An analysis of incentives for these actors to act, and how different actors can cooperate for energy-efficient solutions should be integrated into the process of suggesting and implementing policy measures.     

Sustainability and Wealth of Rural Households: Measurement and Inequality Analysis

A small but growing literature is linking well-being with the value of assets, measured comprehensively. This measure, called comprehensive wealth, has appeared as a leading economic indicator of sustainability by reflecting the potential of future well-being. Despite the concerns of sustainability for policy interventions at the micro-level, the existing literature is limited to country-level estimations. This paper applies the general framework of weak sustainability to measure wealth at the household level. Using data from three rounds of household survey, market prices, and yield data from rural Burkina Faso, we measure wealth, income, and consumption per adult. The results show that wealth has consistently increased over time in contrast to income and consumption which have fluctuated. Wealth is also less unequally distributed. Finally, consumption is found to be more correlated with wealth. This suggests that wealth-based interventions are more likely to improve well-being in a sustainable way.     

Environmentally Sustainable Transport: Definition and Long-Term Economic Impacts for Austria

The transition to an environmentally sustainable transport system involves a combination of technological and demand-side transport policies. Regulatory, educational and economic instruments can be used to enhance the development of cleaner transport technologies as well as the shift from road-based towards more environmentally benign modes of transport. This article provides estimates of overall economic impacts in the long term and describes the required change in the transport system. The article proceeds in three steps. First, this article reviews concepts of sustainability and applies them to transportation. Second, a small open economy computable general equilibrium model for Austria is developed to evaluate the long-term macroeconomic and sectoral impacts of a sustainable freight transport policy. Third, simulation results are discussed and conclusions drawn concerning the crucial features of a sustainable freight transport policy.Although the required transition within the transport system is substantial, the economic costs in terms of GDP are comparably low and employment is likely to increase slightly.     

Integrated scenarios of energy-related CO2 emissions in Ireland: A multi-sectoral analysis to 2020

This paper presents future scenarios of Irish energy-related CO₂ emissions to 2020, using a combination of multi-sectoral decomposition analysis with scenario analysis. Alternative development paths, driving forces and sectoral contributions in different scenarios have been explored. The scenarios are quantified by using decomposition analysis as a Divisia Index SCenario GENerator (DISCGEN). The driving forces of population, economic and social development, energy resources and technology and governance and policies are discussed. A set of four integrated or ‘hybrid’ qualitative and quantitative baseline emission scenarios are developed. It is found that sectoral contributions and emissions in each scenario vary significantly. The inclusion of governance, social and cultural driving forces are important in determining alternative development paths and sustainability is crucial. Our empirical results show that decomposition analysis is a useful technique to generate the alternative scenarios.     

A grey dynamic model for the evaluation of regional sustainable development and its emoirical study

Currently,traditional development issues,such as economic stagnation,as well as new challenges like environmental degradation and globalization,need attention.Sustainable development,including economic,environmental,and social elements,is a main goal of decision-makers.The key to sustainable decision-making is to evaluate and forecast the status quo of sustainable development.Policy makers need a tool based on scientific information to forecast the effects of future actions on sustainability and make policies for sustainable development.This paper analyzes the relation of the economy,environment and social welfare by the grey dynamic model.The proposed method use time series and basic indicators of ecological system,including economic,environmental and social sub-systems.It is applied to Heilongfiang Province and Jiangsu Province.The results have proved different status quo of sustainable development in these two regions,and suggestions are proposed,such as optimization of industrial structure and eco-industrial development.The conclusion is that there is no unique sustainable path,and accordingly,policy makers shouM choose different criteria and strategies to make efficient sustainable decisions for each region.     

Exploring social structures and agency in backcasting studies for sustainable development

This paper examines how social structures and agency have been included in backcasting studies for sustainable development. For this purpose an analytical framework was developed, based on what objects of change (whats), measures (hows) and change agents (whos) are included in the scenario, and to which extent these are approached in an explorative way. Through reviewing a number of backcasting studies it was found that these typically are built upon and elaborated with a predominant focus on the questions of what and how physical/technical aspects could change. Social objects of change and explicit representation or analysis of the question of who could change is rarely included in the analysis. This unbalance brings a number of implications. Firstly, not including social structures and agency obstructs developing socio-technically consistent and comprehensive scenarios. Secondly, through not addressing the questions of how to change and change by whom in an explicit and explorative way, social structures and agency become represented only implicitly and/or are maintained according to the status quo.     

Bio economic modeling for a sustainable management of biodiversity in agricultural lands

For several decades, significant changes in farmland biodiversity have been reported in Europe. Agriculture is a major driver of these modifications. Taking into account these environmental impacts, agriculture nowadays aims at a more sustainable way of producing which would reconcile its economic and ecological functions. The objective of this paper is to give insights into the impact of public policies on both conservation of biodiversity and farming production. We develop a macro-regional model combining community dynamics of 34 bird species impacted by agricultural land-uses and an economic decision model. The ecological dynamic model is calibrated with the STOC (French Breeding Bird Survey) and AGRESTE (French land-uses) databases while the economic model relies on the gross margins of the FADN (Farm Accountancy Data Network). We investigate the scenario based on subsidies and taxes. We show that simple economic instruments could be used to establish scenarios promoting economic performances and bird populations. It is pointed out how the sustainability of the policies is sensitive to the ecological and economic indicators used by the planner. The bio-economical analysis shows several solutions for the ecology-economy trade-off. These results suggest that many possibilities are available to develop multi-functional sustainable agriculture.     

Building and Interpreting Macro/Micro Estimates of Accrued‐to‐Date Pension Liabilities: French Reforms as a Case Study

Estimates of accrued‐to‐date pension liabilities (ADL) should become more widely accessible to statisticians and decision makers in the near future, in application of new SNA requirements. This raises two questions: how can such estimates be routinely produced, and what for? Microsimulation helps in answering the first question of the “how.” It allows ADL computations that take into account the complexity of pension rules. Concerning the “what for” question, it is known that ADL are not an indicator of global financial sustainability. Messages they convey are more interesting at the micro level, from a household perspective. This fosters the case for microsimulation which spontaneously generates consistent micro/macro results. We illustrate these points using the French situation as a case study. We emphasize one aspect of French reforms that may concern other countries as well: the move to price indexation and the connection it creates between sustainability and growth assumptions.     

The impact of macroeconomic factors on income inequality: Evidence from the BRICS

In this paper we investigate how the evolution of income growth, real interest rates, and inflation have driven income inequality across a variety of countries with particular focus on the BRICS economies (Brazil, Russia, India, China, and South Africa) during the period 2001 to 2015. Our work suggests that, when central banks of the BRICS economies use monetary policy for macroeconomic stabilization, they need to consider the impact monetary policy changes have on the distribution of income in their nations. Our estimates reveal that the unintended consequence of policies that induce economic growth and higher prices is higher income inequality. We find that the positive relationship between the three macroeconomic variables and income inequality for the BRICS economies is stronger during the post-2008 period.     

OIL PRICE VOLATILITY AND U.S. MACROECONOMIC PERFORMANCE

This study uses a model with explicit energy sector linkages to estimate the macroeconomic impacts of the 1986 collapse in energy prices. The model combines features of neoclassical macroeconomics to estimate final demand spending and of general equilibrium analysis to estimate substitution possibilities. The model allows price and wage rigidities yet permits interfuel and input substitutions. The simulation results suggest three conclusions. First, the most significant macroeconomic impact of the 1986 oil price reduction is the sharp drop in inflation. Second, output and employment gains are relatively small due to the sharp drop in energy sector output. Finally, the estimated gain in real output due to lower energy prices is close to the output loss resulting from the trade deficit increase during 1986. This may be one reason why no substantial increase in economic growth occurred following the 1986 collapse in energy prices.