Driving forces of chemical risks for the European biodiversity

In the framework of the EU-funded research project ALARM (Assessing LArge-scale environmental Risks with tested Methods), an original method combining the DPSIR (driving forces–pressures–state–impacts–responses) framework and an analysis based on the distinction between the four spheres of sustainability (environmental, economic, social and political) has been developed. This paper presents the application of this method, called “the tetrahedral DPSIR” for the identification and analysis of driving forces of environmental chemicals risks for biodiversity, in Europe. The purpose of this methodology is to help reduce the pressures on biodiversity through modifying the driving forces behind them by offering scientific advice to policy makers. We frame our analysis in the context of the current policy, namely the implementation of REACH (Regulation on the Registration, Evaluation, and Authorization of CHemicals).     

MFA model to assess economic and environmental consequences of food production and consumption

Agri-food sector is a crucially important part of the society, because it is a major factor affecting public health and welfare and it also contributes – directly and indirectly – both to the environment and to the national gross product and employment. Improving sustainability of the agri-food sector implies production of nutritionally better food by using fewer inputs and by reducing environmental burden.In reducing environmental burden, it is essential to restrict the material throughput, to identify the hot spots and direct the measures to them. Improving performance of the food sector requires that the benefits and inputs be quantified in an unambiguous way and that the inputs are estimated for the whole production chain. A comprehensive view of the whole system is necessary.Here, the material flow approach (MFA) has been used to describe the Finnish food flux. The quantitative numerical data have been derived from the farm models' data base, and the data have been adjusted so as to comply with the production and consumption statistics of Finland. Using the compiled data an extended input–output model has been constructed. The model allows for the evaluation of some of the economic and environmental consequences, when the structure of food production and the patterns of food consumption are changed. The consequences can be traced within agriculture, within the food sector as a whole, or at the level of the nation-wide economy. In combination with other information the model, thus, serves as a practical tool for planning.The paper at hand gives an overview of the data base and the basic calculation principles of the model. The usability of the model is demonstrated with results from modelling examples, in which the share of organic production or the share of vegetarian food in the average Finnish diet has been increased. The possibilities and restrictions of the approach as well as some of the needs for further development are discussed.The study is the first step in developing MFA methods to analyse and to monitor the material flows of the Finnish food flux. The results have been used also in compiling the Finnish physical input–output tables. The study, thus, contributes to the overall development of the materials flow accounting.     

An application of DPSIR framework to identify issues of pollinator loss

This paper is an attempt to apply the Driving forces–Pressures–State–Impact–Responses (DPSIR) framework to identify the issues of pollinator loss. The linkages between the significant pressures on insect pollinators, their underlying socio-economic driving forces and responses, with the focus on Europe, are addressed in the study. A review of literature revealed the shortage of empirical studies that prove direct links between policy responses and specific pressures on the pollinators. Based on written evidence and expert judgement, land use practices and the use of agrochemicals were regarded as the most significant pressures on different functional groups of pollinators. As demonstrated in the study, agricultural and rural development policy has been the key driving force of these pressures. The application of the DPSIR framework proved to be useful in identifying the pathway of human pressures on pollinators. The study also concludes that there is further need for specific empirical research on the effects and effectiveness of the Common Agricultural Policy (CAP) measures (agri-environment measures in particular) to support farming practices that facilitate the protection of the environment and the prevention of pollinator loss.     

Analysis and Forecast of the State of Environmental Protection in Russia

The main purpose of the present study is to analyse the emission dynamics of atmospheric and water pollutants in Russia and cost of their removal in the 1980s and early 1990s, and to forecast them by means of a Dynamic Input–Output Model according to different scenarios of future economic development till 1998. Main results of the work are:– methodological principles have been elaborated for singling out the environmental protection sector within the national economy;– a method has been offered for including the ecological block into a Dynamic Input–Output Model of the Russian economy;– a method of data preparation has been elaborated for the ecological block of the above-named model, the data base which characterizes the ecological situation in Russia has been formed and analysed;– calculations for 1994–1998 have been executed for forecasting the economic and ecological development of Russia using the above-mentioned model and the results obtained have been analysed. The results showed that if the existing tendencies towards low environmental protection capital costs remain the same, then the negative environmental impact will increase. In order to implement ecological programs and international agreements, to increase the proportion of removed pollutants, it is necessary to increase substantially expenditures on purifying water and air resources. The proportion of environmental protection investments in the total amount of the national economy capital costs should increase by up to 12–40% according to different scenarios of the economic development and different purposes of the environmental protection policy.     

Reconciling sustainability and discounting in Cost–Benefit Analysis: A methodological proposal

The incorporation of the intergenerational equity objective has rendered the traditional Cost–Benefit Analysis (CBA) approach obsolete for the evaluation of projects presenting an important number of environmental externalities and for those whose impacts extend throughout a long period of time.Based on the assumption that applying a discount rate rewards current consumption and, therefore, that it is only possible to introduce a certain intergenerational equity in a Cost–Benefit Analysis, in this work we propose an approach to discounting based on a different rationale for tangible and intangible effects. We designed two indicators of environmental profitability: a) the Intergenerational Transfer Amount (ITA), which quantifies in monetary units what the current generation is willing to pass on future generations when an environmental restoration project is carried out, and b) the Critical Environmental Rate (CER), measures the implicit environmental profitability.These concepts were tested through an empirical case study pertaining to the assessment of an Erosion Control Project in the southeast of Spain. The results yield traditional profitability indicators that are higher — and probably closer — to the real values set by the contemporary society. The information provided by the environmental profitability indicators proposed renders more transparency to the quantification of the levels of intergenerational equity applied, thereby facilitating the difficult reconciliation of the CBA technique with the objective of sustainability.     

The CO2 ‘trade balance’ between Scotland and the rest of the UK: Performing a multi-region environmental input–output analysis with limited data

In this paper we attempt an empirical application of the multi-region input–output (MRIO) method proposed by Turner, Lenzen, Wiedmann and Barrett [Turner, K., Lenzen, M., Wiedmann, T., Barrett, J., 2007. Examining the global environmental impact of regional consumption activities — part 1: a technical note on combining input–output and ecological footprint analysis. Ecological Economics 62 (1), 37–44] in a recent issue of this journal in order to enumerate the CO2 pollution content of interregional trade flows between Scotland and the rest of the UK (RUK). We extend the analysis to account for direct emissions generation by households, as final consumers, and to a social accounting matrix (SAM), where a more comprehensive account of incomes and expenditures is possible. While the existence of significant data problems mean that the quantitative results of this study should be regarded as provisional, the interregional economy-environment IO and SAM framework for Scotland and RUK allows an illustrative analysis of some very important issues in terms of the nature and significance of interregional environmental spillovers within the UK and the existence of a CO₂ ‘trade balance’ between Scotland and RUK.     

Trade,GMOs and Environmental Risk: Are Current Policies Likely to Improve Welfare?

Food with inputs from genetically modified organisms (GMOs) has met considerable skepticism among European Union (EU) consumers. The EU import ban on GM food has triggered a great deal of controversy and has been partly replaced by a mandatory labeling scheme. Although there is no measure in the General Agreement on Tariffs and Trade that directly addresses the use of product labeling, WTO and others have been skeptical to mandatory product labeling on the grounds that they may be used as hidden protectionism hampering global welfare. This study has two foci. First, we examine how different policies for the production and use of GMOs might influence the market outcome in consumer food markets. Second, we evaluate the welfare effects of the policy measures. We find that mandatory labeling often increases domestic welfare and, may also enhance global welfare. On the other hand, a trade ban is more likely to decrease global welfare.     

Nonparametric Tests of Differences in Medians: Comparison of the Wilcoxon–Mann–Whitney and Robust Rank-Order Tests

The nonparametric Wilcoxon–Mann–Whitney test is commonly used by experimental economists for detecting differences in central tendency between two samples. This test is only theoretically appropriate under certain assumptions concerning the population distributions from which the samples are drawn, and is often used in cases where it is unclear whether these assumptions hold, and even when they clearly do not hold. Fligner and Pollicello's (1981, Journal of the American Statistical Association. 76, 162–168) robust rank-order test is a modification of the Wilcoxon–Mann–Whitney test, designed to be appropriate in more situations than Wilcoxon–Mann–Whitney. This paper uses simulations to compare the performance of the two tests under a variety of distributional assumptions. The results are mixed. The robust rank-order test tends to yield too many false positive results for medium-sized samples, but this liberalness is relatively invariant across distributional assumptions, and seems to be due to a deficiency of the normal approximation to its test statistic's distribution, rather than the test itself. The performance of the Wilcoxon–Mann–Whitney test varies hugely, depending on the distributional assumptions; in some cases, it is conservative, in others, extremely liberal. The tests have roughly similar power. Overall, the robust rank-order test performs better than Wilcoxon–Mann–Whitney, though when critical values for the robust rank-order test are not available, so that the normal approximation must be used, their relative performance depends on the underlying distributions, the sample sizes, and the level of significance used.     

Optimizing the shares of native tree species in forest plantations with biased financial parameters

Addressing uncertainty is a key requirement to follow the principle of precaution in sustainable ecosystem management. The maximization of worst-case outcomes according to the “maximin” decision rule, based on the two parameters mean and variance of a financial indicator, is a prominent approach to integrate uncertainty in decision-making. In forestry, the problem of selecting the optimum tree species combination for a forest plantation investment can be seen as a problem of optimal portfolio selection, to be solved according to the “maximin” decision rule. Yet, it is well known that portfolios computed from expected means and variances are highly sensitive to changes in the estimated parameters. The financial results may be poor if we rely too much on the historical data. This paper tests an extended worst-case model that considers a lower bound for the expected mean net present value (NPV) of a tree species portfolio and an upper bound for its variance. Biased expected mean NPVs, variances and correlations for the tree species Picea abies [L.] Karst. (Spruce) and Fagus sylvatica L. (Beech) were used to test the variability of the resulting tree species portfolios (27 scenarios). A comprehensive simulated data set, which was adopted from an existing study and defined as the independent reference, served to evaluate the financial performance of the tree species portfolios obtained from optimization with the biased data. Compared with the results of classical worst-case optimization instances, it was feasible to reduce the variability of tree species shares effectively when the optimization was carried out with the extended worst-case approach. Furthermore, the financial performance of this approach was better when tested with the independent data. The worst-case forest NPVs achieved with the extended approach were on average 10% (statistical confidence 0.95) or 147% (statistical confidence 0.99) greater in comparison to the results of the classical approach. The influence of the uncertainty parameter selection was tested and the results were discussed against the controversial viewpoints on the usefulness of the “information-gap decision theory”. Finally, the significance of our results for sustainable ecosystem management is pointed out.     

Measuring progress towards carbon reduction in the UK

The UK Climate Change Bill proposes to establish legally binding targets for a 60% reduction in carbon dioxide emissions by 2050. This paper discusses the challenges posed by measuring progress towards this target. It takes as a premise that the conventional production-based accounting framework, enshrined in the UNFCCC emissions accounting guidelines, is inappropriate for this task because it fails to account for the carbon ‘traded’ across the UK national boundary. Accordingly, it sets out a consumption-based accounting framework – using a two-region Environmental Input–Output (EIO) model – which could in principle measure progress in reducing the emissions attributable to final consumers in the UK. It illustrates the use of this framework to measure the reduction in carbon dioxide achieved by the UK between 1990 (the Kyoto base year) and the year 2004 and compares this against the production perspective. The results indicate that any progress towards the UK's carbon reduction targets (visible under a production perspective) disappears completely when viewed from a consumption perspective. But the robustness of this conclusion depends critically on the accuracy of underlying economic and environmental datasets as well as specific assumptions concerning imports. By analysing the consistency of UK Input–Output data, we conclude that EIO is still some way from being able to answer the critical question of the carbon trade balance for the UK. In these circumstances, measuring real progress towards carbon reduction in the UK remains elusive.     

Indigenous livelihoods, slash-and-burn agriculture, and carbon stocks in Eastern Panama

Improved crop–fallow systems in the humid tropics can simultaneously sequester atmospheric carbon emissions and contribute to sustainable livelihoods of rural populations. A study with an indigenous community in eastern Panama revealed a considerable biophysical potential for carbon offsets in small-scale slash-and-burn agriculture through longer fallow periods, improved fallow management, secondary forest development, and agricultural intensification. Based on soil and biomass carbon measurements, estimated annual sequestration rates amount to 0.3−3.7 t C ha^− 1 yr^− 1. Despite such potential, the economic benefits of initiatives aimed at sequestration of carbon in the community are likely to be rather unequally distributed within the community. Heterogeneity in livelihood strategies and uneven asset endowments among households – factors often overlooked in the ongoing carbon and sustainable development debate – are expected to strongly affect household participation. Indeed, only the better-endowed households that have also managed to diversify into more lucrative farm and non-farm activities are likely to be able to participate in and thus benefit from improved crop–fallow systems that capture carbon. Economic, ethical, institutional, and technical concerns need to be taken into account when designing community carbon management and investment plans.     

A GM(1,1)–Markov chain combined model with an application to predict the number of Chinese international airlines

In this paper, we propose a new dynamic analysis model which combines the first-order one-variable grey differential equation model (abbreviated as GM(1,1) model) from grey system theory and Markov chain model from stochastic process theory. We abbreviate the combined GM(1,1)–Markov chain (MC) model as MCGM(1,1) model. This combined model takes advantage of the high predictable power of GM(1,1) model and at the same time take advantage of the prediction power of Markov chain modelling on the discretized states based on the GM(1,1) modelling residual sequence. For prediction accuracy improvements, Taylor approximation is applied to MCGM(1,1) model. We call the improved version as T-MCGM(1,1) model. As an example, we use the statistical data of the number of Chinese international airlines from 1985 to 2003 for a validation of the effectiveness of the T-MCGM(1,1) model.     

An open economy model of the effects of unilateral environmental policy by a large developing country

In this paper, we pose the following question. Why is it that despite the universal recognition of the need for global environmental protection, developing countries have been lax in instituting stringent environmental regulations? Addressing this question from an economic standpoint, we show that there are plausible theoretical circumstances in which a large developing country can be worse off if it chooses to implement environmental policy in an uncoordinated fashion. The empirical dimension of this question is stressed and the key parameters – such as elasticities and marginal propensities to consume – which are germane to any policy discussion regarding this issue are identified. Second, we study – once again from the perspective of a large developing country – the possibility of using the domestic tax structure optimally to attain environmental policy objectives in a second-best environment. This scenario involves taxing pollution indirectly, by using product taxes. Finally, keeping the empirical dimension of the question in mind, we show how to compute optimal externality correcting taxes. These taxes are primarily a function of different kinds of elasticities.     

Reducing climate change impacts on agriculture: Global and regional effects of mitigation, 2000–2080

What are the implications for agriculture of mitigating greenhouse gas emissions? By when and by how much are impacts reduced? Where does it matter most? We investigated these questions within the new A2 emission scenario, recently developed at the International Institute of Applied Systems Analysis with revised population and gross domestic product projections. Coupling an agro-ecological model to a global food trade model, two distinct sets of climate simulations were analyzed: 1) A non-mitigated scenario, with atmospheric CO₂ concentrations over 800 ppm by 2100; and 2) A mitigation scenario, with CO₂ concentrations stabilized at 550 ppm by 2100. Impacts of climate change on crop yield were evaluated for the period 1990–2080, then used as input for economic analyses. Key trends were computed over the 21st century for food demand, production and trade, focusing on potential monetary (aggregate value added) and human (risk of hunger) impacts. The results from this study suggested that mitigation could positively impact agriculture. With mitigation, global costs of climate change, though relatively small in absolute amounts, were reduced by 75–100%; and the number of additional people at risk of malnutrition was reduced by 80–95%. Significant geographic and temporal differences were found. Regional effects often diverged from global net results, with some regions worse off under mitigation compared to the unmitigated case.     

Cournot–Nash equilibria in continuum games with non-ordered preferences

In the usual framework of continuum games with externalities, we substantially generalize Cournot–Nash existence results [Balder, A unifying approach to existence of Nash equilibria, Int. J.Game Theory 24 (1995) 79–94; On the existence of Cournot–Nash equilibria in continuum games, J. Math. Econ. 32 (1999) 207–223; A unifying pair of Cournot–Nash equilibrium existence results, J. Econ. Theory 102 (2002) 437–470] to games with possibly non-ordered preferences, providing a continuum analogue of the seminal existence results by Mas-Colell [An equilibrium existence theorem without complete or transitive preferences, J. Math. Econ. 1 (1974) 237–246], Gale and Mas-Colell [An equilibrium existence theorem for a general model without ordered preferences, J. Math. Econ. 2 (1975) 9–15], Shafer and Sonnenschein [Equilibrium in abstract economies without ordered preferences, J. Math. Econ. 2 (1975) 345–348], Borglin and Keiding [Existence of equilibrium actions and of equilibrium: a note on the “new” existence theorems, J. Math. Econ. 3 (1976) 313–316] and Yannelis and Prabhakar [Existence of maximal elements and equilibria in linear topological spaces, J. Math. Econ. 12 (1983) 233–245].     

Why evolution does not always lead to an optimal signaling system

This paper gives a complete characterization of neutrally stable strategies for sender–receiver games in the style of Lewis, or Nowak and Krakauer [Lewis, D., 1969. Convention: A Philosophical Study. Harvard Univ. Press, Cambridge, MA; Nowak, M., Krakauer, D., 1999. The evolution of language. Proc. Nat. Acad. Sci. USA 96, 8028–8033]. Due to the dynamic implications of neutral stability, the replicator dynamics of this model does not necessarily lead to the rise of an optimal signaling system, where every state of the world is bijectively linked to one signal and vice versa, but it can be trapped in suboptimum situations where two (or more) signals are used for the same event, or two (or more) events are associated with one and the same signal.     

Environmental regulation and U.S. states' technical inefficiency

Using data on 48 states from 1982–1994, we estimate the impact of environmental regulation on technical inefficiency of U.S. states' manufacturing sector. The result indicates that environmental stringency has significant and positive impacts on U.S. states' technical inefficiency.     

Technological forecasting at the Korean stock market: A dynamic competition analysis using Lotka–Volterra model

The purpose of this paper is to attempt to analyze the dynamic relationship between the Korean Stock Exchange (KSE) and Korean Securities Dealers Automated Quotation (KOSDAQ), two competing markets at the Korean stock market, in the viewpoint of technological forecasting of competition. The Lotka–Volterra system of equations, one well-known competitive diffusion models, is adopted to represent the competitive situations of the Korean stock market and it is estimated using daily empirical index data of KSE and KOSDAQ during 1997–2001. The results show that there existed a predator–prey relationships between two markets in which KSE acted as a prey for the time being after the emergence of KOSDAQ. This interaction was altered to symbiotic relationship and finally to pure competition relationship. We also perform an equilibrium analysis of the estimated Lotka–Volterra equations. As a result, we find that there is an equilibrium point in a dynamic sense. However, the equilibrium point could be unstable in the latest pure competition relationship.     

Capital–skill complementarity and inequality: A sensitivity analysis

Krusell et al. in [Krusell, P., Ohanian, L., Ríos-Rull, J.V., Violante, G.L., 2000. Capital–skill complementarity and inequality: A macroeconomic analysis. Econometrica 68 (5), 1029–1053] analyzed the capital–skill complementarity hypothesis as an explanation for the behavior of the US skill premium. We refit Krusell et al.'s [Krusell, P., Ohanian, L., Ríos-Rull, J.V., Violante, G.L., 2000. Capital–skill complementarity and inequality: A macroeconomic analysis. Econometrica 68 (5), 1029–1053] model with two alternative capital equipment price series: One proposed by Greenwood et al. [Greenwood, J., Hercowitz, Z., Krusell, P., 1997. Long-run implications of investment-specific technological change. Amer. Econ. Rev. 87 (3), 342–362] and the official, revised National Income and Product Accounts (NIPA) data. We find that capital–skill complementarity is preserved, but other results were sensitive to the data used. Specifically, the fit of the model was similar to Krusell et al.'s [Krusell, P., Ohanian, L., Ríos-Rull, J.V., Violante, G.L., 2000. Capital–skill complementarity and inequality: A macroeconomic analysis. Econometrica 68 (5), 1029–1053] using the NIPA data, but not the Greenwood et al. [Greenwood, J., Hercowitz, Z., Krusell, P., 1997. Long-run implications of investment-specific technological change. Amer. Econ. Rev. 87 (3), 342–362] data. Also, both series produce estimates of the elasticity of substitution between unskilled labor and equipment that are substantially larger than Krusell et al.'s [Krusell, P., Ohanian, L., Ríos-Rull, J.V., Violante, G.L., 2000. Capital–skill complementarity and inequality: A macroeconomic analysis. Econometrica 68 (5), 1029–1053] estimates.