Capital Malleability, Emission Leakage and the Cost of Partial Climate Policies: General Equilibrium Analysis of the European Union Emission Trading System

Computable general equilibrium (CGE) models are the premier analytical platform for assessing the economic impacts of climate change mitigation. But these models tend to treat physical capital as “malleable”, capable of reallocation among sectors over the time-period for which equilibrium is solved. Because the extent to which capital adjustment costs might dampen reallocation is not well understood, there is concern that CGE assessments understate the true costs of greenhouse gas (GHG) reduction policies. This paper uses a multi-region, multi-sector CGE model to investigate cap-and-trade schemes, such as the European Union Emission Trading System which cover a subset of the economy, elucidating the effects of capital malleability on GHG abatement, the potential for emission leakage from abating to non-abating sectors, and the impacts on welfare. To simplify the complex interactions being simulated within the CGE model, that analysis is complemented with an analytical model. A partial climate policy results in negative internal carbon leakage, with emissions declining not only in capped sectors but also in non-regulated ones. This result is stronger when capital is intersectorally mobile. Interestingly, in partial climate policy settings capital malleability can amplify or attenuate welfare losses depending on the attributes of the economy.     

能源税征收的劳动替代效应实证研究--基于上海市2002年大气污染的CGE模型的试算

作为政策分析的有力工具,可计算一般均衡(Computable General Equilibri-um,简称CGE)模型经过40多年的发展已在世界上得到广泛应用,并逐渐发展成为应用经济学的一个分支。目前,我国的CGE模型研究已取得了一些具有开拓性的成果,主要产生了有国务院发展研究中心的DRCCGE和中科院数量经济与技术研究所的PRCGEM两套CGE模型。在这些成果的基础上,文章首先分析了对煤征收能源税的重要性与必要性,随后详细介绍了采用由四大模块组成的CGE模型系统,并且给出了具体的求解处理过程。其次根据2002年上海市投入产出表数据,建立了一个地区性(上海市)可计算一般均衡(CGE)模型,结果表明能源税的征收有效地推动了劳动对能源的替代,促进了经济结构和能源结构的调整,导致大气污染物的减少,同时对实际产出的影响较小,表明对煤征收能源税的可行性和合理性。最后对模型的改进提出了一些建议,为日后地区CGE模型应用及政策分析提供了一些支持。     

Modeling a policy making framework for urban sustainability: Incorporating system dynamics into the Ecological Footprint

The Ecological Footprint (EF) is a powerful tool to advance the science of sustainability. However, the static snapshot of EF accounting is not designed to make projections of future sustainability consequences, which fails to elicit policy implications from a dynamic, temporally explicit perspective. This work attempts to incorporate system dynamics (SD) into EF to develop a dynamic EF forecasting framework, and provide a platform to support policy making for urban sustainability improvement. SD is firstly adopted to model the dynamics and interactions of EF driving forces, and then incorporated into the EF framework by correlating system drivers to EF-related consumption categories, embodied EF is finally calculated using the compound-based method. Based on different policy feasibility and sustainability targets, four policy scenarios are designed to explore future sustainability prospects and formulate integrated policies which would attain that sustainability scenario. The modeling procedure is applied to a case study area to illustrate how it works, and policy making for urban sustainability can hopefully be supported using this developed framework in the near future.     

Modeling a policy making framework for urban sustainability: Incorporating system dynamics into the Ecological Footprint

The Ecological Footprint (EF) is a powerful tool to advance the science of sustainability. However, the static snapshot of EF accounting is not designed to make projections of future sustainability consequences, which fails to elicit policy implications from a dynamic, temporally explicit perspective. This work attempts to incorporate system dynamics (SD) into EF to develop a dynamic EF forecasting framework, and provide a platform to support policy making for urban sustainability improvement. SD is firstly adopted to model the dynamics and interactions of EF driving forces, and then incorporated into the EF framework by correlating system drivers to EF-related consumption categories, embodied EF is finally calculated using the compound-based method. Based on different policy feasibility and sustainability targets, four policy scenarios are designed to explore future sustainability prospects and formulate integrated policies which would attain that sustainability scenario. The modeling procedure is applied to a case study area to illustrate how it works, and policy making for urban sustainability can hopefully be supported using this developed framework in the near future.     

Investment behaviour in transition countries and computable general equilibrium models

When applying Computable General Equilibrium (CGE) models to transition economies, it is not plausible to use the standard assumption that the base year data represent stable structural characteristics or even the steady state of the economy. The suggestions forwarded until now to overcome this problem are discussed in this article. An amendment is proposed by modifying the investment modelling within the dynamic CGE setting. The standard formulation of installation costs for capital is extended through the inclusion of adjustment costs that depend on the change of the investment level. Such formulation of the adjustment costs within the dynamic CGE model leads to an investment behaviour that mirrors the empirical data of the first years of the transition.     

The econometric critique of computable general equilibrium modeling: the role of functional forms

Computable general equilibrium (CGE) models are among the most influential tools in applied economics. However, some serious questions have been raised about the empirical validity of these models. The core of the critique is that the parameter selection criteria are unsound and the use of first-order (CES class) functional forms imposes influential restrictions on the model's structure. A formal summary of the case against standard CGE modeling is presented, as is an alternative econometric-based modeling strategy which answers the critique. We then present a comparative CGE modeling experiment designed to assess the role of function forms. It is found that choice of functional forms affects not only industry-specific results, but aggregate results as well, even for small policy shocks.     

可计算一般均衡(CGE)模型的几个前沿问题

可计算一般均衡（CGE）模型是一种常用的经济分析理论与工具,它通过对经济系统整体的模拟来对特定的经济政策变动进行分析。近年来,地宏观经济描述的进一步深入与细致,CGE模型在模拟经济系统方面出现一些问题。本文在参考大量外国文献的基础上,针对经济科学近年来的发展,在模型结构、模型闭合、技术进步、模型动态属性、计算工具等方面进行探讨。     

Assessing the Employment Impacts of Environmental and Natural Resource Policy

This paper provides an introductory guide for environmental andresource economists to methods of assessing the impact of environmentaland natural resource policy on employment. It examines five basicapproaches to evaluating the effect of a policy action on employment:1) supply and demand analysis of the affected sector; 2) partialequilibrium analysis of multiple markets; 3) fixed-price, generalequilibrium simulations (input-output (I-O) and social accounting matrix (SAM) multiplier models); 4) non-linear, general equilibriumsimulations (Computable General Equilibrium (CGE) models); and 5) econometric estimation of the adjustment process, particularly timeseries analysis. The basic modeling structure and data requirementsfor each of these approaches are described. Simple examples of theirapplication to evaluation of environmental and natural resourcepolicy are developed and the relative merits and applicability of each are discussed.     

Quasi-Monte Carlo application in CGE systematic sensitivity analysis

The uncertainty and robustness of Computable General Equilibrium (CGE) models can be assessed by conducting a Systematic Sensitivity Analysis (SSA). Different methods have been used in the literature for SSA of CGE models such as Gaussian Quadrature and Monte Carlo methods. This article explores the use of Quasi-random Monte Carlo methods based on the Halton and Sobol’ sequences as means to improve the efficiency over regular Monte Carlo SSA, thus reducing the computational requirements of the SSA. The findings suggest that by using low-discrepancy sequences, the number of simulations required by the regular MC SSA methods can be notably reduced, hence lowering the computational time required for SSA of CGE models.     

International price transmission in CGE models: How to reconcile econometric evidence and endogenous model response?

The importance of empirically analyzing the transmission of international prices to and their impacts on domestic markets is growing particularly since the 2006–2008 food price hikes. However, the field is dominated by econometric Price Transmission Analysis (PTA) but surprisingly disconnected from analyses based on simulation models such as Computable General Equilibrium (CGE) models. The missing reconciliation among these tools could be due to PTA often being concerned with high frequency data and short-term adjustment processes, which does not reconcile well with the annual data of CGE analyses; different research teams in econometric time series analysis and CGE modeling with typically little overlap; and the endogeneity of price transmission in CGE models. Due to this endogeneity, the calibration of CGE models to empirically observed price transmission is not straightforward, as an infinite combination of model parameters and specifications allows for reaching a certain level of price transmission. This paper aims at paving the way for the integrated use of PTA and CGE models by analyzing how a given degree of price transmission from the international to the domestic market, which may be determined empirically e.g. based on a vector error correction model, can be met in a single country CGE model. We examine and validate seven hypothetical determinants including structural characteristics of the model, the parameterization of behavioral functions and properties of the sectors concerned. The findings of this paper support controlling the pass-through of prices from the international to the domestic market in CGE models.     

Thermodynamics and process analysis for future economic scenarios

Economists are increasingly interested in forecasting future costs and benefits of policies for dealing with materials/energy fluxes, polluting emissions and environmental impacts on various scales, from sectoral to global. Computable general equilibrium (CGE) models are currently popular because they project demand and industrial structure into the future, along an equilibrium path. But they are applicable only to the extent that structural changes occur in or near equilibrium, independent of radical technological (or social) change. The alternative tool for analyzing economic implications of scenario assumptions is to use Leontief-type Input-Output (I-O) models. I-O models are unable to endogenize structural shifts (changing I-O coefficients). However, this can be a virtue when considering radical rather than incremental shifts. Postulated I-O tables can be used independently to check the internal consistency of scenarios. Or I-O models can be used to generate scenarios by linking them to econometric macro-drivers (which can, in principle, be CGE models). Explicit process analysis can be integrated, in principle, with I-O models. This hybrid scheme provides a natural means of satisfying physical constraints, especially the first and second laws of thermodynamics. This is important, to avoid constructing scenarios based on physically impossible processes. Process analysis is really the only available tool for constructing physically plausible alternative future I-O tables, and generating materials/energy and waste emissions coefficients. Explicit process analysis also helps avoid several problems characteristic of pure CGE or I-O models, viz. (1) aggregation errors (2) inability to handle arbitrary combinations of co-product and co-input relationships and (3) inability to reflect certain non-linearities such as internal feedback loops.     

Rational expectations for large CGE models: A practical algorithm and a policy application

We describe a simple iterative method for solving large dynamic CGE models under rational expectations. Details are given for Australia's MONASH model but the approach applies to a wide range of CGE models. The method is automated in the RunMONASH Windows software, putting CGE modelling under rational expectations within the reach of non-specialist modellers. We provide an illustrative application in which MONASH results under rational expectations are compared with results under static expectations. The application and supporting software can be downloaded. Results from the application are interpreted in terms of elementary economic mechanisms.     

The endowment effect and the reference state: Evidence and manipulations

Recent reports suggest that the “endowment effect” may be due to conditions under which it is observed and explained by incentives long recognized in standard theory. Evidence from new experiments, reported here, provides empirical support for the role of the economic environment on people's perceived reference state and consequently on their valuations, as suggested by Köszegi and Rabin [Köszegi, B., Rabin, M., 2006. A model of reference-dependent preferences. Quarterly Journal of Economics 121, 1133–1165], and indicates that the disappearance of the valuation disparity is more likely due instead to conditions that weaken the perception of reference states. Further, these conditions appear to be poor approximations of those that prevail in most cases for which valuations are normally made.     

国内外节能减排政策研究综述

伴随着经济持续快速增长,我国的能源与环境问题也日渐突出。当前,节能减排已成为保持我国社会经济可持续发展的必然选择。本论文从市场手段和行政手段两个方面,综述国内外已经开展的节能减排政策研究,并在此基础上指出利用CGE模型开展节能减排政策研究具有广阔的应用前景。     

Validation of an R&D-based computable general equilibrium model

A computable general equilibrium (CGE) model is useful for the calculation of macroeconomic effects caused by policy impacts, but it has been considered a sticking point to evaluate how well the CGE model describes the real economy. Among various possible reasons for the difference between the standard CGE model and the real world, this paper focuses on a limited number of primary input factors and a fixed figure for the calibrated coefficient. A CGE model incorporating research and development (R&D) activity is suggested as an alternative to address the problems with the standard CGE model. The proposed model includes the following two setups: (1) a sector's own knowledge is adopted as a production factor, and (2) others' knowledge is regarded as a source of spillover effect to increase the total factor productivity (TFP) coefficient. This R&D-based CGE model is evaluated on whether its correspondence with reality is better than the standard model that omits the two setups. The two models compute baseline scenarios of South Korean economic growth from 1995 to 2010, and these results are compared to actual data. The results show that the R&D-based model fits better than the standard model in cases where the country has high TFP growth.     

Sustainability impacts of car road pricing: A computable general equilibrium analysis for Austria

Nationwide car road pricing schemes are discussed across Europe. We analyse the impacts of such schemes with respect to environmental, economic and social indicators of sustainability, also quantifying the trade-offs among these three dimensions under different charging principles and revenue recycling options. In our analysis we employ a computable general equilibrium (CGE) approach, develop a modelling structure for private transport and provide detailed empirical analysis for the case of Austria. Regarding the social dimension, it has often been argued that poorer households (and commuters) would have to bear a disproportionate share of the road pricing burden. We find the contrary, i.e. a stronger negative policy impact on richer households, and on a small group of intensive car users. The choice of revenue recycling is able to ameliorate the negative social and economic effects of road pricing, without reversing the desired positive environmental effects. For political feasibility, questions of distributional impacts are most urgent and therefore we address them systematically within a quantitative framework.     

Further evidence on the law of factor proportionality in multiple households closed CGE models

This article provides additional evidence that factor contents of different consumers’ consumption bundles computed from multiple households closed Computable General Equilibrium (CGE) models are approximately proportional. This empirical regularity has been observed up to now for a total of 11 CGEs for very diverse countries, and we therefore state it as law. It implies that these models display price rigidity with respect to endowment re-allocations, an observation which has broad implications for their capacity to capture general equilibrium effects.     

Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations

Bio-economic modelling has become a useful tool for anticipating the outcomes of policies and technologies before their implementation. Advances in mathematical programming have made it possible to build more comprehensive models. In an overview of recent studies about bio-economic models applied to land-use problems in agriculture and forestry, we evaluated how aspects such as uncertainty, multiple objective functions, system dynamics and time have been incorporated into models. We found that single objective models were more frequently applied at the farm level, while multiple objective modelling has been applied to meet concerns at the landscape level. Among the objectives, social aspects are seldom represented in all models, when being compared to economic and environmental aspects. The integration of uncertainty is occasionally a topic, while stochastic approaches are more frequently applied than non-stochastic robust methods. Most multiple-objective models do not integrate uncertainty or sequential decision making. Static approaches continue to be more recurrent than truly dynamic models. Even though integrating multiple aspects may enhance our understanding of a system; it involves a tradeoff between complexity and robustness of the results obtained. Land-use models have to address this balance between complexity and robustness in order to evolve towards robust multiple-objective spatial optimization as a prerequisite to achieve sustainability goals.     

K. William Kapp's theory of social costs and environmental policy: Towards political ecological economics

The paper analyzes the contribution of K. William Kapp, widely considered one of the founders of Ecological Economics. This paper will demonstrate how K. William Kapp developed his theory of social costs into a framework for environmental policy development, i.e. the basis for Political Ecological Economics. The latter provides the most comprehensive and non-utilitarian alternative to the main neoclassical approaches provided by Arthur Pigou and Ronald Coase. Kapp determined basic human needs to be necessary values operational for policymaking via politically derived and scientifically determined social minima (criteria) and socio-ecological indicators. This “rational humanism” was inspired by Weber's concept of substantive rationality and informed by John Dewey's pragmatic instrumentalism. The paper concludes that Kapp's contribution is important enough to cement its place in the broader school of Ecological Economics.     

Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics

In this paper we review evolutionary economic modelling in relation to environmental policy. We discuss three areas in which evolutionary economic models have a particularly high added value for environmental policy-making: the double externality problem, technological transitions and consumer demand. We explore the possibilities to apply evolutionary economic models in environmental policy assessment, including the opportunities for making policy-making endogenous to environmental innovation. We end with a critical discussion of the challenges that remain.