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引用次数: 0
摘要
美国在实现政府间气候变化专门委员会（Intergovernmental Panel on Climate Change）所呼吁的快速削减碳排放量方面面临着多重政治挑战。其中包括长期存在的党派两极分化问题，以及新出现的气候末日和失败主义问题。这些挑战不仅阻碍了议程的制定和颁布，而且还会威胁到政策的长期持久性。本研究利用一项具有全国代表性的样本调查实验（n = 1760），考察了党派线索和宿命论言论对《通货膨胀削减法案》气候条款支持率的影响。我们发现，受到民主党暗示的共和党人和独立人士对《减税法案》的支持率较低。我们还发现，受到宿命论信息影响的独立受访者对《减税法案》的支持率也有所下降。这些发现强调了《减税法案》颁布后的框架设计的重要性，并表明《减税法案》可能容易受到削弱或逆转。
Climate fatalism, partisan cues, and support for the Inflation Reduction Act
The United States faces multiple political challenges to achieving the rapid cuts in carbon emissions called for by the Intergovernmental Panel on Climate Change. Among these are the long-standing issue of partisan polarization and the newly emerging problem of climate doom and defeatism. These challenges are not only barriers to agenda-setting and enactment, but can also threaten the durability of policies over time. This study uses a survey experiment from a nationally representative sample (n = 1760) to examine the impact of partisan cues and fatalistic rhetoric on support for the climate provisions of the Inflation Reduction Act. We find that Republicans and Independents exposed to Democratic Party cues expressed less support for the IRA. We also find that Independents respondents exposed to a fatalistic message had reduced support for the IRA. These findings underscore the importance of framing in the post-enactment period and suggest that the IRA may be vulnerable to retrenchment or reversal.
期刊介绍：
The policy sciences are distinctive within the policy movement in that they embrace the scholarly traditions innovated and elaborated by Harold D. Lasswell and Myres S. McDougal. Within these pages we provide space for approaches that are problem-oriented, contextual, and multi-method in orientation. There are many other journals in which authors can take top-down, deductive, and large-sample approach or adopt a primarily theoretical focus. Policy Sciences encourages systematic and empirical investigations in which problems are clearly identified from a practical and theoretical perspective, are well situated in the extant literature, and are investigated utilizing methodologies compatible with contextual, as opposed to reductionist, understandings. We tend not to publish pieces that are solely theoretical, but favor works in which the applied policy lessons are clearly articulated. Policy Sciences favors, but does not publish exclusively, works that either explicitly or implicitly utilize the policy sciences framework. The policy sciences can be applied to articles with greater or lesser intensity to accommodate the focus of an author’s work. At the minimum, this means taking a problem oriented, multi-method or contextual approach. At the fullest expression, it may mean leveraging central theory or explicitly applying aspects of the framework, which is comprised of three principal dimensions: (1) social process, which is mapped in terms of participants, perspectives, situations, base values, strategies, outcomes and effects, with values (power, wealth, enlightenment, skill, rectitude, respect, well-being, and affection) being the key elements in understanding participants’ behaviors and interactions; (2) decision process, which is mapped in terms of seven functions—intelligence, promotion, prescription, invocation, application, termination, and appraisal; and (3) problem orientation, which comprises the intellectual tasks of clarifying goals, describing trends, analyzing conditions, projecting developments, and inventing, evaluating, and selecting alternatives. There is a more extensive core literature that also applies and can be visited at the policy sciences website: http://www.policysciences.org/classicworks.cfm. In addition to articles that explicitly utilize the policy sciences framework, Policy Sciences has a long tradition of publishing papers that draw on various aspects of that framework and its central theory as well as high quality conceptual pieces that address key challenges, opportunities, or approaches in ways congruent with the perspective that this journal strives to maintain and extend.Officially cited as: Policy Sci
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