Robust technology policy against emission leakage: The case of upstream subsidies

Asymmetric regulation of a global pollutant between countries can alter the competitiveness of industries and lead to emissions leakage, which hampers countries’ welfare. In order to limit leakage, governments consider supporting domestic trade-exposed firms by subsidizing their investments in abatement technology. The suppliers of such technologies tend to be less than perfectly competitive, particularly when both emissions regulations and advanced technologies are new. In this context of twin market failures, we consider the relative effects and desirability of subsidies for abatement technology. We find a more robust recommendation for upstream subsidies than for downstream subsidies. Downstream subsidies tend to increase global abatement technology prices, reduce pollution abatement abroad and increase emission leakage. On the contrary, upstream subsidies reduce abatement technology prices, and hence also emissions leakage.     

Optimal Timing to Adopt an Environmental Policy in a Strategic Framework

In this paper, the problem of optimal timing, when to adopt an environmental policy in a strategic framework is considered. Using real options theory and some basic tools of game theory, we show that, under certain assumptions, a country behaving strategically should wait longer before adopting such a policy than if it behaves unstrategically or within a larger entity. Such a postponed decision is sub-optimal as regards to the environment protection.     

Hydraulic fracturing as an interpretive policy problem: lessons on energy controversies in Europe and the U.S.A.

This special issue addresses hydraulic fracturing for shale gas extraction as an interpretive policy problem. Bringing together empirical cases from the U.S.A., the Netherlands, the U.K., Poland, and Germany, we identify three approaches to the interpretation of hydraulic fracturing in the article: understanding its meaning, contextual explanation of the institutionalization of its meaning, and policy design as intervention to alter its meaning. By exploring differences and similarities across these cases, we identified two central tensions in the meaning of shale gas in all cases: (1) economic opportunity or environmental threat and (2) transition toward a more carbon-free energy future or perpetuation of a fossil fuel system. We found that when actors shift the meaning of hydraulic fracturing to consider it predominantly an issue of threat, this explains the dominance of risk governance as an approach to managing the controversy. Alternately, when the meaning of fracking shifts from consideration as an economic opportunity or a bridge fuel to consideration of it as a barrier to an energy transition, this explains the decision to ban fracking. Therefore, a comparative assessment of the papers demonstrates the ways interpretive dimensions of politics can influence the governance of public policy.     

基于体制视角的煤矿矿难成因及对策研究

对国内外煤矿安全事故的成因进行回顾。通过理论与实践研究发现,影响我国煤矿矿难发生的各项因素只是表象,其更深层次的原因是体制层面的问题。分别从计划经济体制、市场经济体制以及双重体制角度对我国煤矿矿难的成因进行分析,指出计划经济体制导致了煤矿企业积极性不高和安全投入不足;以市场资源配置和利益驱动为导向的市场经济体制使得煤矿企业人才严重缺乏、超能力生产严重、安全管理不严和违规操作频发;双重经济体制共同作用引致了我国煤矿行业的监管不力。针对体制对我国煤矿带来的问题,分别从管理机制、安全投入、福利待遇和监管体制等方面给出治理煤矿矿难的政策建议和意见。     

生计多样性对农户参与农田生态补偿政策响应状态的影响——以上海闵行区、苏州张家港市发达地区为例

农田生态补偿政策是采用经济手段激励农户对农田生态系统服务功能进行保育和维护,解决因市场失灵造成生态效益外溢的一种有效方式,对于改善农田生态环境、提升农地开敞空间、增加农户收益具有积极作用。论文从发达地区农户生计多样性角度入手,利用结构方程模型分析农户生计多样性对农户参与补偿政策的支持意愿、政策实施效果响应的影响。结果表明:①农户基本特征、家庭特征、生计多样性特征、村庄发展特征在5%的水平下对农户在农田生态补偿政策上的支持意愿具有正向影响;②农户基本特征、家庭特征、生计多样性特征在5%的水平下对农户在补偿政策实施效果上的响应具有正向影响,农户村庄发展特征在5%的水平下对其具有负向影响;③农户生计多样性特征是影响农户补偿政策支持意愿最主要的因素,是影响补偿政策实施效果响应的次要因素。这表明补偿政策实施后,农户生计多样性特征对于提高农户对补偿政策支持意愿与政策实施效果响应方面具有积极的作用。把握三者之间的关系有利于政府制定和完善现有农田生态补偿政策,为引导农户生计多样性发展提供参考。     

废弃产品回收处理企业环境绩效评价初探

近年来,废弃产品回收处理行业日益受到政府和社会各界的关注,而回收处理企业是实施回收处理活动的主体,相关法律、法规的出台对回收处理企业提出了更高的要求。本文在概括梳理相关法律、法规的基础上,初步建立了废弃产品回收处理企业环境绩效评价指标体系,为回收处理企业采用先进的技术工艺、降低环境负荷、加强职业健康监护和企业环境管理提供参考,以适应国家政策要求和行业发展的需要。     

Environmental policy and macroeconomic dynamics in a new Keynesian model

This paper studies the dynamic behavior of an economy under different environmental policy regimes in a New Keynesian model with nominal and real uncertainty. We find the following results: (i) an emissions cap policy is likely to dampen macroeconomic fluctuations; (ii) staggered price adjustment alters significantly the performance of the environmental policy regime put in place; (iii) the optimal environmental policy response to shocks is strongly influenced by the degree to which prices adjust and by the monetary policy reaction.     

Models-as-usual for unusual risks? On the value of catastrophic climate change

We study the role of intertemporal preference representations in a model of economic growth, stock pollutant and endogenous risk of catastrophic collapse. We contrast two polar instances of risk-sensitive preferences: the traditional “discounted utility” model, which imposes a positive rate of pure time preference and risk neutrality with respect to intertemporal utility, and multiplicatively separable preferences, which display risk aversion in that dimension but no pure time preferences. We show that both representations of preferences can rationalize the same economy when there is no collapse risk associated with pollution. Once we introduce a collapse risk whose hazard rate depends on the pollution stock, multiplicatively separable preferences are associated with a much higher value of catastrophic risk reduction, and a more stringent policy response. A relatively high discount rate may thus be compatible with large emissions abatement in the face of a low probability large impact event, reflecting preferences for catastrophic risk reduction.     

Policy relevance of three integrated assessment tools—A comparison with specific reference to agricultural policies

The Common Agricultural Policy (CAP), a system of market support instruments, direct income transfers, and rural development measures, has been put through an ongoing reform process in recent decades. This paper introduces three policy impact assessment tools (SIAT, SEAMLESS-IF, MEA-Scope tool) and analyses how these tools have responded to a number of challenges for integrated assessment modelling as reported in the international literature. Significant progress has been made with regard to modelling linkages whereas other challenges, particularly those related to issues of scale and uncertainty management, require further efforts. It is also analysed which CAP instruments are represented and what kinds of effects can be analysed at different scales. Market instruments and direct payments are comparatively well represented, while the ability to model rural development measures is mostly beyond the scope of these tools. Because each tool has found a different solution for coping with the common challenges of integrated assessment modelling, the choice of one of the tools for a particular application depends strongly on the policy questions being asked. The SIAT provides the big picture via its ability to represent broad changes in policy instruments with EU-wide cross-sector impacts. The most comprehensive analysis of agricultural policy instruments can be obtained with SEAMLESS-IF. The MEA-Scope tool complements the other two approaches with detailed regional profiles.     

Bayesian Networks and Adaptive Management of Wildlife Habitat

Abstract: Adaptive management is an iterative process of gathering new knowledge regarding a system's behavior and monitoring the ecological consequences of management actions to improve management decisions. Although the concept originated in the 1970s, it is rarely actively incorporated into ecological restoration. Bayesian networks (BNs) are emerging as efficient ecological decision‐support tools well suited to adaptive management, but examples of their application in this capacity are few. We developed a BN within an adaptive‐management framework that focuses on managing the effects of feral grazing and prescribed burning regimes on avian diversity within woodlands of subtropical eastern Australia. We constructed the BN with baseline data to predict bird abundance as a function of habitat structure, grazing pressure, and prescribed burning. Results of sensitivity analyses suggested that grazing pressure increased the abundance of aggressive honeyeaters, which in turn had a strong negative effect on small passerines. Management interventions to reduce pressure of feral grazing and prescribed burning were then conducted, after which we collected a second set of field data to test the response of small passerines to these measures. We used these data, which incorporated ecological changes that may have resulted from the management interventions, to validate and update the BN. The network predictions of small passerine abundance under the new habitat and management conditions were very accurate. The updated BN concluded the first iteration of adaptive management and will be used in planning the next round of management interventions. The unique belief‐updating feature of BNs provides land managers with the flexibility to predict outcomes and evaluate the effectiveness of management interventions.