Relationship among weather variation, agricultural production, and migration: A systematic methodological review
Fuente:
Wiley Open Access
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Artículo Open Access |
| Pubblicazione: |
Wiley
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1867019185511464960 |
|---|---|
| author | Bishwajit Sarker Masud Alam Md. Jamal Uddin |
| author_facet | Bishwajit Sarker Masud Alam Md. Jamal Uddin Bishwajit Sarker Masud Alam Md. Jamal Uddin |
| collection | Wiley Open Access |
| contents | Relationship among weather variation, agricultural production, and migration: A systematic methodological review Bishwajit Sarker Masud Alam Md. Jamal Uddin Health Science Reports AbstractBackground and AimsTwo 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.MethodsA 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.ResultsThe 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.ConclusionThis 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. 10.1002/hsr2.2002 http://creativecommons.org/licenses/by/4.0/ |
| doi_str_mv | 10.1002/hsr2.2002 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_hsr2_2002 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| publishDate | 2024 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Relationship among weather variation, agricultural production, and migration: A systematic methodological review Bishwajit Sarker Masud Alam Md. Jamal Uddin Health Science Reports Relationship among weather variation, agricultural production, and migration: A systematic methodological review Bishwajit Sarker Masud Alam Md. Jamal Uddin Health Science Reports AbstractBackground and AimsTwo 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.MethodsA 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.ResultsThe 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.ConclusionThis 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. 10.1002/hsr2.2002 http://creativecommons.org/licenses/by/4.0/ |
| title | Relationship among weather variation, agricultural production, and migration: A systematic methodological review |
| topic | Health Science Reports |
| url | https://onlinelibrary.wiley.com/doi/10.1002/hsr2.2002 |