BMF CP69: Interactions between varying economic options and varying wherewithals in mitigating climate change and biodiversity loss consequences

AISDL Team

“By natural order, birthing needs good timing and at a moderate pace. […] Looking for food in the fields and gardens farther from home is important. Also, try eating different kinds of nuts and worms. Mastering all of this would guarantee a prosperous life.”

—In “Food”; The Kingfisher Story Collection [1].

1. Project description

1.1. Main objectives

The current study is conducted to examine the following research questions:

* How do the economic patterns of farmers affect their climate-change-induced seasonal migration (during crop offseason)?

Findings from this study are expected to contribute to promoting the eco-surplus culture for achieving innovative resilience policies [2-4].

1.2. Materials

The mindsponge theory will be used for conceptual development, and Bayesian Mindsponge Framework (BMF) analytics will be used for statistical analysis on a dataset of 327 farmers in Sudurpaschim Pradesh (Far Western Province), Nepal [5-8]. The bayesvl R package, aided by the Markov chain Monte Carlo (MCMC) algorithm, will be employed for statistical analyses [9]. For more information on BMF analytics, portal users can refer to the following book [10]. Data and code snippets of this initial analysis were deposited at https://zenodo.org/records/10648603.

1.3. Main findings

The preliminary analysis shows that households with different annual earnings will have varying seasonal migration patterns, which reflects a U-shape relationship between annual earnings and seasonal migration probability.



Figure 1: Estimated coefficients (using bayesvl)

2. Collaboration procedure

Portal users should follow these steps for registering to participate in this research project:

1. Create an account on the website (preferably using an institution email).
2. Comment on your name, affiliation, and desired role in the project below this post.
3. Patiently wait for the formal agreement on the project from the AISDL mentor.

If you have further inquiries, please contact us at aisdl_team@mindsponge.info

If you have been invited to join the project by an AISDL member, you are still encouraged to follow the above formal steps.

All the resources for conducting and writing the research manuscript will be distributed upon project participation.

AISDL mentor for this project: Minh-Hoang Nguyen

AISDL members who have joined this project: Quan-Hoang Vuong.

The research project strictly adheres to scientific integrity standards, including authorship rights and obligations [11], without incurring an economic burden at participants’ expenses [12].

References

[1] Vuong QH. (2022). The Kingfisher Story Collection. https://www.amazon.com/dp/B0BG2NNHY6

[2] Vuong QH, et al. (2020). Identifying the moral–practical gaps in corporate social responsibility missions of Vietnamese firms: An event-based analysis of sustainability feasibility. Corporate Social Responsibility and Environmental Management, 28(1), 30-41. https://onlinelibrary.wiley.com/doi/abs/10.1002/csr.2029

[3] Vuong QH. (2021). The semiconducting principle of monetary and environmental values exchange. Economics and Business Letters, 10(3), 284-290. https://reunido.uniovi.es/index.php/EBL/article/view/15872

[4] Nguyen MH, Jones TE. (2022). Building eco-surplus culture among urban residents as a novel strategy to improve finance for conservation in protected areas. Humanities and Social Sciences Communications, 9, 426. https://www.nature.com/articles/s41599-022-01441-9

[5] Nguyen MH, et al. (2022). Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research. MethodsX, 9, 101808. https://linkinghub.elsevier.com/retrieve/pii/S2215016122001881

[6] Vuong QH. (2023). Mindsponge Theory. Walter de Gruyter GmbH. https://www.amazon.com/dp/8367405145/

[7] Vuong QH, Napier NK. (2015). Acculturation and global mindsponge: An emerging market perspective. International Journal of Intercultural Relations, 49, 354-367. https://www.sciencedirect.com/science/article/abs/pii/S0147176715000826

[8] Lamichhane P, et al. (2021). Survey data on climate change adaptation and barriers to adoption among smallholder farmers in Nepal. Data in Brief, 39, 107620. https://www.sciencedirect.com/science/article/pii/S2352340921008957

[9] La VP, Vuong QH. (2019). bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with ‘Stan’. The Comprehensive R Archive Network. https://cran.r-project.org/web/packages/bayesvl/index.html

[10] Vuong QH, Nguyen MH, La VP. (2022). The mindsponge and BMF analytics for innovative thinking in social sciences and humanities. Walter de Gruyter GmbH. https://www.amazon.com/dp/8367405102/

[11] Vuong QH. (2020). The limitations of retraction notices and the heroic acts of authors who correct the scholarly record: An analysis of retractions of papers published from 1975 to 2019. Learned Publishing, 33(2), 119-130. https://onlinelibrary.wiley.com/doi/abs/10.1002/leap.1282

[12] Vuong QH. (2018). The (ir)rational consideration of the cost of science in transition economies. Nature Human Behaviour, 2, 5. https://www.nature.com/articles/s41562-017-0281-4