地球目前面临的两个主要问题是移民和天气变化。天气变化对农业产业有重大影响,这影响了大多数穷人。在研究天气变化之间的关系时,缺乏足够的方法文件,农业产出,和移民。我们旨在通过审查有关通过农业渠道与天气相关的迁移的定量文献来确定方法报告的困难。
■使用2010年1月至2022年6月之间发表的论文进行了系统评估,并在SCOPUS中进行了索引,pubmed,和谷歌学者数据库。使用纳入/排除标准,我们从18,929篇不同的文章中选择了22篇原创研究文章进行综述,根据PRISMA准则。我们从每项研究中提取数据,以了解各种概念,研究设计,和调查技术影响我们对与农业部门天气相关的迁移模式的理解。
■该研究的大部分(64%)数据由时间序列数据组成。在50%的研究中,使用次要数据。此外,这些研究中有55%没有说明样本量。在40%的研究中,模型假设得到了充分遵守,而在36%的研究中,他们根本没有被跟踪。大多数文章使用了普通最小二乘技术,而大约41%的人应用了两阶段最小二乘技术。在这些研究中进行了各种测试,如稳健性检查(59.1%),内生性测试(31.8%),省略变量偏差测试(22.7%),敏感性分析(22.7%),和弱仪器测试(13.6%),仅举几例。在我们选择的研究中,方法部分有各种缺点,缺乏组织。此外,偏离模型假设的理由不清楚,可能影响研究结果。
■这项研究为研究人员通过农业渠道研究气候(天气)迁移提供了重要的指示,除了为决策者提供对方法和技术的全面审查。
UNASSIGNED: Two main problems the globe currently facing are migration and weather variation. Weather change has a significant impact on the agricultural industry, which affects the majority of poor people. There is a dearth of adequate methodological documentation when examining the relationship between weather variation, agricultural output, and migration. We aimed to identify methodological reporting difficulties by reviewing the quantitative literature on weather-related migration through agricultural channels.
UNASSIGNED: A systematic evaluation was conducted using papers published between January 2010 and June 2022, indexed in the SCOPUS, PUBMED, and Google Scholar databases. Using inclusion/exclusion criteria, we selected 22 original research articles out of 18,929 distinct articles for review, in accordance with the PRISMA guidelines. We extracted data from each study to understand how various concepts, research designs, and investigative techniques influence our understanding of migration patterns related to weather in the agricultural sector.
UNASSIGNED: The majority (64%) of the study\'s data consisted of time series data. In 50% of the studies, secondary data were used. Additionally, 55% of these studies did not state the sample size. In 40% of the studies, model assumptions were fully adhered to, whereas in 36% of the studies, they were not followed at all. The majority of the articles used the Ordinary Least Squares technique, while about 41% applied the Two-Stage Least Squares technique. Various tests were conducted across these studies, such as robustness checks (59.1%), endogeneity tests (31.8%), omitted variable bias tests (22.7%), sensitivity analyses (22.7%), and weak instrument tests (13.6%), to name a few. In the research we selected, the methodology section had various shortcomings and lacked organization. Furthermore, the justifications for deviations from model assumptions were unclear, potentially affecting the study outcomes.
UNASSIGNED: This study has important indications for researchers in studying climatic (weather) migration through agricultural channels besides for policymakers by giving a thorough review of the methods and techniques.