Liquidity-adjusted conditional capital asset pricing model

This paper derives a liquidity-adjusted conditional two-moment capital asset pricing model (CAPM) and a liquidity-adjusted conditional three-moment CAPM respectively based on theory of stochastic discount factor. The liquidity-adjusted conditional two-moment CAPM shows that a security's conditional expected excess return consists of three parts: its conditional expected liquidity cost, the systemic risk premium and the liquidity risk premium. The liquidity-adjusted conditional three-moment CAPM shows that a security's conditional expected excess return depends on its conditional expected liquidity cost, the conditional covariance between its return and the market return, the conditional covariance between its liquidity cost and the market liquidity cost, and the conditional coskewness of its return and the market return.     

Optimal climate change mitigation under long-term growth uncertainty: Stochastic integrated assessment and analytic findings

Economic growth over the coming centuries is one of the major determinants of today׳s optimal greenhouse gas mitigation policy. At the same time, long-run economic growth is highly uncertain. This paper is the first to evaluate optimal mitigation policy under long-term growth uncertainty in a stochastic integrated assessment model of climate change. The sign and magnitude of the impact depend on preference characteristics and on how damages scale with production. We explain the different mechanisms driving optimal mitigation under certain growth, under uncertain technological progress in the discounted expected utility model, and under uncertain technological progress in a more comprehensive asset pricing model based on Epstein–Zin–Weil preferences. In the latter framework, the dominating uncertainty impact has the opposite sign of a deterministic growth impact; the sign switch results from an endogenous pessimism weighting. All of our numeric scenarios use a DICE based assessment model and find a higher optimal carbon tax than the deterministic DICE base case calibration.     

Leveraging private capital for climate mitigation: Evidence from the Clean Development Mechanism

To mitigate climate change, states must make significant investments into energy and other sectors. To solve this problem, scholars emphasize the importance of leveraging private capital. If states create institutional mechanisms that promote private investment, they can reduce the fiscal cost of carbon abatement. We examine the ability of different international institutional designs to leverage private capital in the context of the Kyoto Protocol's Clean Development Mechanism (CDM). Empirically, we analyze private capital investment in 3749 climate mitigation projects under the CDM, 2003–2011. Since the CDM allows both bilateral and unilateral implementation, we can compare the two modes of contracting within one context. Our model analyzes equilibrium private investment in climate mitigation. When the cost of mitigation is high, unilateral project implementation in one host country, without foreign collaboration, draws more investment than bilateral contracting, whereby foreign investors participate in the project.     

International support of climate change policies in developing countries: Strategic, moral and fairness aspects

International transfers in climate policy channeled from the industrialized to the developing world either support the mitigation of climate change or the adaptation to global warming. From a purely allocative point of view, transfers supporting mitigation tend to be Pareto-improving whereas this is not very likely in the case of adaptation support. We illustrate this by regarding transfer schemes currently applied under the UN Framework Convention on Climate Change (UNFCCC) and the Kyoto framework.However, if we enrich the analysis by integrating distributional aspects, we find that international adaptation funding may help both the developing and developed world. Interestingly this is not due to altruistic incentives, but due to follow-up effects on international negotiations on climate change mitigation. We argue that the lack of fairness perceived by developing countries in the international climate policy arena can be reduced by the support of adaptation in these countries. As we show - taking into account different fairness concepts - this might raise the prospects of success in international negotiations on climate change. Yet, we find that the influence of transfers may induce different fairness effects on climate change mitigation negotiations to run counter.We discuss whether current transfer schemes under the UNFCCC and the Kyoto framework adequately serve the distributive and allocative objectives pursued in international climate policy.     

The Challenges of Climate Policy

Climate policy planners and the public should be aware of both economic challenges and arguments that may influence the intensity of the climate policies with which they have to cope. This article examines six economic challenges: cap‐and‐trade versus taxes, non‐price regulations, energy efficiency policies, mitigation versus adaptation, trade effects, and transmission planning. Three additional challenges affect the end itself: ‘fat tails’, discount rates, and whether environmental protection should be evaluated by willingness to pay. If future generations cannot compensate the present for climate policy costs, climate policy is inherently redistributive and cannot be evaluated through cost–benefit analysis alone.     

Scientific Ambiguity and Climate Policy

Economic evaluation of climate policy traditionally treats uncertainty by appealing to expected utility theory. Yet our knowledge of the impacts of climate policy may not be of sufficient quality to be described by unique probabilistic beliefs. In such circumstances, it has been argued that the axioms of expected utility theory may not be the correct standard of rationality. By contrast, several axiomatic frameworks have recently been proposed that account for ambiguous knowledge. In this paper, we apply static and dynamic versions of a smooth ambiguity model to climate mitigation policy. We obtain a general result on the comparative statics of optimal abatement and ambiguity aversion, and then extend our analysis to a more realistic, dynamic setting, where we introduce scientific ambiguity into the well-known DICE model of the climate-economy system. For policy-relevant exogenous mitigation policies, we show that the value of emissions abatement increases as ambiguity aversion increases, and that this ‘ambiguity premium’ can in some plausible cases be very large. In these cases the effect of ambiguity aversion on welfare is comparable to that of other much studied welfare parameters. Thus ambiguity aversion may be an important neglected aspect of climate change economics, and seems likely to provide another argument for strong abatement policy.     

Adaptation and Mitigation in Long-term Climate Policy

The paper analytically explores the optimal allocation of investments into mitigation and environmental adaptation against climate change damages at a macroeconomic level. The economic-environmental model is formulated as a social planner problem where adaptation and abatement investments are separate decision variables. The existence of a unique steady state is proven. A comparative static analysis of optimal investments leads to essential implications for associated long-term environmental policies. It is shown that the optimal policy mix between adaptation and mitigation is lower for countries with higher economic efficiency for all applicable parameter ranges. Data calibration and numerical simulations are provided to estimate practical validity of theoretical outcomes.     

Distributional Preferences and the Incidence of Costs and Benefits in Climate Change Policy

We explore the relationship between willingness to pay (WTP) for climate change mitigation and distributional preferences, by which we mean individuals’ opinions about who should be responsible for climate change prevention and whether the share of climate change impacts borne by the poor is a cause for concern. We use 1,770 responses to an online stated preference survey. The domestic costs in our survey’s policy choice scenarios are expressed as a set of randomized shares across four different payment vehicles, and the international cost shares are randomized across four groups of countries. We also elicit respondents’ perceptions of the likely regressivity of climate change impacts under a policy of business-as-usual. WTP is higher when larger cost shares are borne by parties deemed to bear a greater responsibility for mitigation, and when respondents believe (and care) that the impacts of climate change may be borne disproportionately by the world’s poor. That WTP for an environmental policy depends on the distributional consequences of the policy is an unsettling result: efficiency assessments are typically assumed to be separate from equity considerations in most benefit-cost analyses.     

Epstein–Zin Utility in DICE: Is Risk Aversion Irrelevant to Climate Policy?

Climate change involves uncertain probabilities of catastrophic risks, and very longterm consequences of current actions. Climate economics, therefore, is centrally concerned with the treatment of risk and time. Yet conventional assumptions about utility and optimal economic growth create a perverse connection between risk aversion and time preference, such that more aversion to current risks implies less concern for future outcomes, and vice versa. The same conflation of risk aversion and time preference leads to the equity premium puzzle in finance. A promising response to the equity premium puzzle, the recursive utility of Epstein and Zin, allows separation of risk aversion and time preference—at the cost of considerable analytic complexity. We introduce an accessible implementation of Epstein–Zin utility into the DICE model of climate economics, creating a hybrid “EZ-DICE” model. Using Epstein–Zin parameters from the finance literature and climate uncertainty parameters from the science literature, we find that the optimal climate policy in EZ-DICE calls for rapid abatement of carbon emissions; it is similar to standard DICE results with the discount rate set to equal the risk-free rate of return. EZ-DICE solutions are sensitive to the intertemporal elasticity of substitution, but remarkably insensitive to risk aversion. Insensitivity to risk aversion may reflect the difficulty of modeling catastrophic risks within DICE. Implicit in DICE are strong assumptions about the cost of climate stabilization and the certainty and speed of success; under these assumptions, risk aversion would in fact be unimportant. A more realistic analysis will require a subtler treatment of catastrophic climate risk.     

低碳农业发展核心目标:减缓和适应气候变化

减缓和适应是人类应对气候变化行动中两种相辅相成的措施。中国农业在应对气候变化中,减缓和适应同等重要:一方面,农业在减缓气候变化中具有独特的作用;另一方面,农业适应气候变化比减缓气候变化更为现实的迫切。积极发展低碳现代农业实现减排增汇,中国农业生态系统可以作为一种非常重要的固碳增汇措施,纳入全球CO2减排措施中去。中国低碳农业在减缓和适应气候变化中具有巨大潜力。     

Banks’ Interest Rate Risk and Search for Yield: A Theoretical Rationale and Some Empirical Evidence

We investigate German banks’ exposure to interest rate risk. In finance, higher demand for a risky asset is typically associated with higher expected return. However, employing a utility function which implies both risk‐averse and risk‐seeking behavior depending on the level of profits, we show that this relationship may get weaker and even change its sign at low profit levels. For the period 2005–14, we find not only the common positive relationship of higher expected returns and rising interest rate exposure but also that this relationship does become weaker with falling operative income, its sign eventually changing.     

Inertia Risk: Improving Economic Models of Catastrophes*

We model endogenous catastrophic risk in a new way. We call it “inertia risk”, which accounts for delays between physical variables and the hazard rate – a characteristic often observed in reality. The added realism significantly affects optimal policies relative to the standard model of catastrophic risk. The probability of a catastrophe occurring at some point in time can span the entire interval [0,1], and is not 0 or 1 as is typical in standard models. Inertia risk can also generate path dependences. We illustrate the implications for policy in a simple model of climate change.     

The Short-Term Impact of a Domestic Cap-and-Trade Climate Policy on Local Agriculture: A Policy Simulation with Producer Behavior

This study is intended to develop understanding of possible impact of a domestic cap-and-trade climate policy on local agriculture. We focus the study on the transition period after the policy has raised input prices for production but before establishment of new equilibrium in agricultural commodity markets. We construct a policy simulation model based on production economics that explicitly considers producer behavior in the focal period. We apply the model to a production region in the US to quantify the impact of different levels of carbon price on production cost, production value, and farm income. Our case study shows that: (1) producers have ability to alleviate the cost impact, (2) producers may benefit by selling carbon credits in the carbon market but the revenue is likely to be limited, (3) the economic return of farm production is critical to the impact assessment, (4) the impact may vary across producers, and (5) regulation on the fertilizer industry is an important policy element that can influence the assessment of the impact. This study has important implications for climate policy design.     

Popular Support for Climate Change Mitigation: Evidence from a General Population Mail Survey

Using a sample of 1,651 US households, we explore some determinants of willingness to pay (WTP) for climate change mitigation programs. Our mail survey had a relatively low response rate, so we first use several additional data sources to build a detailed sample selection model. This model uses features of the survey instrument, measures of geographic vulnerability to climate change, seasonality, the political mix in the county, attributes of the address or addressee, and a set of factor scores from an extensive factor analysis of all census tracts in the US. We estimate this model jointly with a model to explain climate policy preferences as a function of the domestic and international distribution of policy costs as well as the climate change impacts that each respondent believes will occur under a policy of business-as-usual. Despite statistically significant patterns of nonresponse, selectivity effects are minimal in this case. WTP for climate change mitigation is greater when the domestic incidence of mitigation costs is borne mostly through higher energy taxes. It is also greater when costs are understood to be shared internationally with other groups of countries, rather than being borne mostly by a country group including the US. People are generally more willing to pay for climate change mitigation if they believe that the harm caused by climate change impacts will be substantial, rather than just moderate. The assistance of former UCLA undergraduate students Ivka Adam, Tashi Ghale, Michelle Gogolewski, Vilija Gulbinas, and Lindy Olsson was essential to survey development and administration. This paper is based upon work supported in part by the National Science Foundation under Grant No. 9818875 to UCLA, with additional support from the Raymond F. Mikesell Foundation at the University of Oregon. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of either the National Science Foundation or ICF International.     

Optimal Investment in Urban Drainage: A Framework for Cost-Benefit Analysis

This article addresses some basic issues (including distributional weights, discount rates, and the value of life) in the cost-benefit analysis of urban drainage and provides a framework for the estimation of the optimal amount of investment for flood mitigation. This involves: (i) estimating the expected total damage from flooding in present-value terms before flood mitigation; (ii) deriving the reduction in expected total damage as the average recurrent interval of flooding increases; (iii) estimating how this interval increases with the amount of investment in flood mitigation; and (iv) choosing the optimal investment by equating marginal benefit and marginal cost. The framework is also applicable to other accident or damage mitigation investments and some issues discussed are relevant to all types of cost-benefit analysis.     

Economic Policy in the Face of Severe Tail Events

From time to time, something occurs which is outside the range of normal expectations. We will call these “tail events” in the sense that they are way out of the tail of a probability distribution. I consider the question of the implications of tail events for economic policy and climate‐change economics. This issue has been analyzed by Martin Weitzman who proposed a Dismal Theorem. The general idea is that, under limited conditions concerning the structure of uncertainty and risk aversion, society has an indefinitely large expected loss from high‐consequence, low‐probability events. Under such conditions, standard economic tools such as cost‐benefit analysis cannot be applied. The present study is intended to put the Dismal Theorem in context and examine the range of its relevance, with an application to catastrophic climate change. I conclude that tail events are sometimes of extreme importance, and we must be extremely careful to include them in situations of deep uncertainty. However, we conclude that no loaded gun of strong tail dominance has been uncovered to date.     

气候变化经济学和气候政策

在气候变化经济学和气候政策的文献综述基础上,剖析了经济学原理在全球气候变化研究中的应用。在总结西方流行的气候变化的经济影响评估、预测、分析方法和模型的前提下,回顾了不同空间和时间尺度上温室气体减排成本估算的方法和结果,特别分析和强调了气候变化不确定性的特点对经济模型和政策设计的影响,提供了有效的基于市场的政策选择。     

The Impact of Climate Change on the Balanced Growth Equivalent: An Application of <Emphasis Type="Italic">FUND</Emphasis>

The Stern Review added balanced growth equivalents (BGE) to the economic climate change research agenda. We first propose rigorous definitions of the BGE for multiple regions and under uncertainty. We show that the change in the BGE is independent of the assumed scenario of per capita income. For comparable welfare economic assumptions as the Stern Review, we calculate lower changes in BGE between a business as usual scenario and one without climate impacts with the model FUND than the Stern Review found with the model PAGE. We find that mitigation policies give even lower changes in BGE and argue that those policy choices should be the focus of the research effort rather than total damage estimates. According to our results, the current carbon tax should be below $55/tC. Sensitivity analyses show that the Stern Review chose parameters that imply high impact estimates. However, for regionally disaggregated welfare functions, we find changes in BGE that are significantly higher than the results from the Stern Review both for total damage as for policy analysis. With regional disaggregation and high risk aversion, we observe fat tails and with that very high welfare losses.      

Study on Medium- and Long-Term Fiscal Policies to Cope with Climate Change under the “Dual Carbon” Goals

Carbon peaking and carbon neutrality constitute an extensive, profound and systemic economic and social change. It is worthwhile to explore how fiscal policy, as a key institutional arrangement in the public policy system to cope with climate change, can play a fundamental and pillar role. Based on literatures, theories and empirical materials, this paper systematically explores the relationship between climate change and public finance. The fiscal impact of climate change will eventually be reflected in fiscal behavior, fiscal costs and fiscal relations, and the fiscal system has the adaptability of an “automatic stabilizer” and the proactiveness to enable the Discretionary Approaches function when facing climate change impacts. This implies such a governance logic of fiscal policy that is systematic, forward-looking and flexible in addressing climate change. In the future, it is necessary to further incorporate climate change or related environmental factors into the fiscal policy framework, target the two key aspects of mitigation and adaptation, and carry out a holistic, systematic and forward-looking reform of the existing fiscal expenditure policy, fiscal revenue policy, fiscal investment and financing policy, government budget system, government procurement policy and ecological compensation policy. While highlighting the “governance” function of fiscal policy in addressing climate change, Chinese government needs to strengthen the coordination and collaboration between fiscal policy tools and other public policies, and magnify the governance effectiveness of fiscal policy in the process of addressing climate change. This paper helps understand the positioning, role and influence of fiscal policy in the process of addressing climate change, provides a basis for better playing the fundamental and underpinning role of the modern fiscal system in the governance of ecological civilization, and presents an analytical framework for building a theoretical system of ecological fiscal governance.     

The impact of regulatory change on EU energy utility returns: the three liberalization packages

The European Union’s (EU) energy sector is changing due to major policy reforms. In this article, we examine the impact of major legislative changes which were designed to induce competition in the energy sector: the three liberalization packages. Competition was expected to benefit the industry by phasing out inefficient firms. EU citizens were also expected to benefit as competition was likely to promote a more efficient energy sector and more consumer choice of energy products and services. However, this legislative change occurred during a period of extreme market turmoil. We examine the impact of all these changes on the risk profile of the sector. Our results show that the liberalization legislation significantly increased systematic risk exposure of the sector, reducing its role as a defensive investment asset. We also show that commodities had relatively little impact on sector returns, but this was expected as utilities can offset commodity risk in hedging markets. We compare our results to those obtained in neighbouring EU sectors and find the impacts are isolated to the energy sector. This article makes a major contribution to energy policy by empirically showing the change in risk as a result of sector liberalization.