RAPID: Collaborative Research: Non-state Service Provision in the Context of Multiple Extreme Events

RAPID：协作研究：多种极端事件背景下的非国家服务提供

• 批准号: 2130095
• 负责人: Daniel Sledge
• 金额: $ 4.77万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2130095&HistoricalAwards=false
• 关键词: RAPID; Collaborative; Research; Non; state

This research concerns government and non-state actors' capacity to respond to simultaneous crises involving major disasters. In response to major disaster, the disaster state often delegates authority and encourages non-state service provision. Often, response capacity depends on service provision by self-directed groups and businesses that are not electorally accountable. Little is known about how the reliance of governments on non-state actors shapes the ability of the disaster state to respond to compounding crises. Using the state of Texas response to both COVID 19 and Winter Storm Uri as the compounding crises of interests, the PIs consider 1) the role of non-state actors in supplementing state capacity; 2) the implications of reliance on non-state actors for resource allocation and service provision across differing communities; and 3) the implications of this reliance for democratic accountability. Methodologically, the PIs use a longitudinal three wave survey of local health agencies, emergency management departments, and non-profits operating in Texas. The PIs focus on the moments of crisis to allow for test of hypotheses about the role of non-state actors and democratic accountability. The gathering of baseline data in relatively close proximity to the dual events is an essential component of this project. This research will provide a baseline for the study of the disaster state. The PIs use a theoretical framework of state capacity to examine the disaster state and to integrate scholarship on American governance with literature on non-state service provision in the field of comparative politics. The PIs contribute to literature on state strength, distribution of non-state services and democratic accountability. The PIs conduct three state-wide survey waves in Texas in the aftermath of COVID 19 and Winter Storm Uri. In addition, the PIs conduct semi-structured interviews with representatives of government agencies and with representatives of non-state actors. Surveys will be implemented using the Qualtrics platform. Respondents for the initial survey will be recruited from Texas’s 161 local health departments, public health districts, and local health units. With this survey data, the PIs test three research hypotheses related to state capacity, public/private interaction, and compounding crises. The PIs will generate basic scientific advances that may be applied by scholars seeking to understand and prepare for future multiple hazard situations. This research includes graduate student training and findings from the study will be shared with public officials and practitioners through a research and practice integration workshop.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项研究涉及政府和非国家行为者应对同时发生的重大灾害危机的能力。在应对重大灾害时，受灾国通常会下放权力，鼓励非国家提供服务。反应能力往往取决于不对选举负责的自我指导团体和企业提供的服务。政府对非国家行为体的依赖如何塑造了灾难国家应对复杂危机的能力，人们对此知之甚少。以德克萨斯州对COVID 19和冬季风暴Uri的反应作为利益危机的复合，PI考虑1）非国家行为者在补充国家能力方面的作用; 2）依赖非国家行为者在不同社区分配资源和提供服务的影响;以及3）这种依赖对民主问责制的影响。从方法上讲，PI使用了对德克萨斯州当地卫生机构、应急管理部门和非营利组织的纵向三波调查。PI侧重于危机时刻，以检验关于非国家行为者的作用和民主问责制的假设。在相对接近双重事件的地方收集基线数据是该项目的一个重要组成部分。这项研究将为灾害状态的研究提供一个基线。PI使用国家能力的理论框架来研究灾难状态，并将美国治理的奖学金与比较政治学领域的非国家服务提供文献相结合。PI为有关国家实力、非国家服务分配和民主问责制的文献做出了贡献。在COVID 19和冬季风暴Uri之后，PI在德克萨斯州进行了三次全州范围的调查。此外，私人侦探还与政府机构代表和非国家行为者代表进行半结构化访谈。将使用Qualtrics平台进行调查。初步调查的受访者将从德克萨斯州的161个地方卫生部门、公共卫生区和地方卫生单位招募。通过这项调查数据，PI测试了与国家能力，公共/私人互动和复合危机相关的三个研究假设。初步研究报告将产生基本的科学进展，可供学者应用，以了解和准备未来的多种危险情况。这项研究包括研究生培训和研究结果将通过研究和实践整合研讨会与政府官员和从业人员分享。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。