Collaborative Research: The Effects of Organizational, World-System, and World Society Factors on Power Plants' Emissions

合作研究：组织、世界体系和世界社会因素对发电厂排放的影响

• 批准号: 1357497
• 负责人: Wesley Longhofer
• 金额: $ 2.89万
• 依托单位: Emory University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-15 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1357497&HistoricalAwards=false
• 关键词: Collaborative; Research; Effects; Organizational; World

This project examines the effects of different international relationships on electric power plant CO2 emission rates and levels, by assessing how global and national social factors combine with the organizational characteristics of individual power plants to shape emission outcomes, and investigates how the conjoint effects of organizational and global factors on plants? carbon emissions may vary by the national regulatory systems that mediate them. This project addresses three research questions: Which sets of organizational, world-system, and world society structures determine fossil fuel power plants' CO2 emission rates? Which sets of these structures cause plants' emission rates to improve over time but their emission levels to worsen? And to what extent can the effects of organizational and global factors on plants' emission outcomes be explained by the regulatory systems of plants' host nations?To answer these questions, this project will use newly released data compiled by the Center for Global Development on the carbon emissions and structural characteristics of over 20,000 power plants throughout the world. It will employ multi-level regression techniques in conjunction with novel fuzzy set analytic (fsQCA) methods that can identify which combinations of factors are associated with an outcome. Consistent with the literature on structural configurations, we hypothesize that plants with high CO2 emission rates and levels share certain combinations of organizational, world-system, and world society structures and the effectiveness of national environmental policies will depend on plants' structural profiles. This project seeks to provide new information on the structural sources of CO2 emissions, and it will advance world-systems, world society, and organizational research on the environment that to date have been typically treated as competing rather than complementary perspectives. This project's findings will help to develop a sector-based strategy to mitigating CO2 emissions, and findings should help determine the standards met by power plants around the world. Findings may also be of interest to the electricity industry, as it may become possible to target future regulatory initiatives at specific subsets of power plants. Finally, project results could support industry initiatives to optimize self-regulation and environmental performance of member facilities. The project also includes training for a graduate student research assistant.

该项目通过评估全球和国家社会因素如何与各个发电厂的组织特征相结合来塑造排放结果，研究不同国际关系对发电厂二氧化碳排放率和水平的影响，并研究组织和国家之间的联合影响如何植物的全球因素？碳排放量可能因调节碳排放量的国家监管体系而异。 该项目解决了三个研究问题：哪些组织、世界体系和世界社会结构决定了化石燃料发电厂的二氧化碳排放率？哪一组结构会导致工厂的排放率随着时间的推移而提高，但排放水平却会恶化？ 组织和全球因素对工厂排放结果的影响在多大程度上可以通过工厂所在国的监管体系来解释？为了回答这些问题，本项目将使用全球发展中心最新发布的关于工厂排放结果的数据。全球 20,000 多个发电厂的碳排放和结构特征。它将采用多级回归技术与新颖的模糊集分析（fsQCA）方法相结合，可以识别哪些因素组合与结果相关。与有关结构配置的文献一致，我们假设具有高二氧化碳排放率和水平的工厂共享组织、世界体系和世界社会结构的某些组合，并且国家环境政策的有效性将取决于工厂的结构概况。该项目旨在提供有关二氧化碳排放结构性来源的新信息，并将推进世界体系、世界社会和组织对环境的研究，迄今为止，这些研究通常被视为竞争而非互补的观点。 该项目的研究结果将有助于制定基于部门的减少二氧化碳排放的战略，研究结果应有助于确定世界各地发电厂所达到的标准。研究结果也可能引起电力行业的兴趣，因为未来有可能针对特定的发电厂子集制定监管举措。最后，项目结果可以支持行业举措，以优化成员设施的自我监管和环境绩效。该项目还包括对研究生研究助理的培训。