Debate regarding the relationship between socioeconomic development and natural disasters remains at the fore of global discussions, as the potential risk from climate extremes and uncertainty pose an increasing threat to developmental prospects. This study reviews statistical investigations of disaster and development linkages, across topics of macroeconomic growth, public governance and others to identify key challenges to the current approach to macro-level statistical investigation. Both theoretically and qualitatively, disaster is known to affect development through a number of channels: haphazard development, weak institutions, lack of social safety nets and short-termism of our decision-making practices are some of the factors that drive natural disaster risk. Developmental potentials, including the prospects for sustainable and equitable growth, are in turn threatened by such accumulation of disaster risks. However, quantitative evidence regarding these complex causality chains remains contested due to several reasons. A number of theoretical and methodological limitations have been identified, including the use of GDP as a proxy measurement of welfare, issues with natural disaster damage reporting and the adoption of ad hoc model specifications and variables, which render interpretation and cross-comparison of statistical analysis difficult. Additionally, while greater attention is paid to economic and institutional parameters such as GDP, remittance, corruption and public expenditure as opposed to hard-to-quantify yet critical factors such as environmental conditions and social vulnerabilities. These are gaps in our approach that hamper our comprehensive understanding of the disaster-development nexus. Important areas for further research are identified, including recognizing and addressing the data constraints, incorporating sustainability and equity concerns through alternatives to GDP, and finding novel approaches to examining the complex and dynamic relationships between risk, vulnerability, resilience, adaptive capacity and development.

关于社会经济发展与自然灾害之间关系的辩论仍然是全球讨论的重点，因为极端气候和不确定性带来的潜在风险对发展前景构成越来越大的威胁。这项研究回顾了关于宏观经济增长，公共治理和其他主题的灾难与发展联系的统计调查，以确定当前宏观统计调查方法面临的主要挑战。从理论和质量上来看，灾难都会通过多种渠道影响发展：偶然发展，机构薄弱，缺乏社会安全网以及我们决策行为的短期性是造成自然灾害风险的一些因素。发展潜力，包括可持续和公平增长的前景，反过来又受到此类灾害风险累积的威胁。但是，由于以下几个原因，关于这些复杂因果关系链的定量证据仍然存在争议。确定了许多理论和方法上的局限性，包括将GDP用作福利的替代衡量标准，自然灾害损害报告问题以及采用临时模型规范和变量，这使得对统计分析的解释和交叉比较成为可能。难的。此外，尽管人们更加关注经济和体制参数，例如GDP，汇款，腐败和公共支出，而不是难以量化但仍十分关键的因素，例如环境条件和社会脆弱性。这些是我们方法上的空白，妨碍了我们对灾难发展关系的全面理解。确定了需要进一步研究的重要领域，包括认识和解决数据约束，通过替代GDP纳入可持续性和公平问题，以及寻找新颖的方法来检查风险，脆弱性，适应力，适应能力和发展之间的复杂和动态关系。