Chuan, Zun Liang and Fam, S. F. and Lee, Q. H. and Kok, J. S. and Azam, M. N. B. M. (2022) Modelling the impacts of climate change and air pollutants on the agricultural production yields in Malaysia using Random-Effects Error Components Regression model. Data Analytics and Applied Mathematics (DAAM), 3 (2). pp. 1-12. ISSN 2773-4854. (Published)
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Abstract
The occurrence of climate change is attributable to anthropogenic emissions of greenhouse gases (GHG) which have affected the C3 plants’ agricultural production yields in past decades. Therefore, this article aims to model the linear association among these C3 plants’ agricultural production yields with several climatic and non-climatic explanatory variables using one-way random-effects error components regression model. To be congruent with the main objective of this study, the balanced longitudinal dataset period 1980 to 2018 under big data was acquired. The analysis results revealed that merely maximum temperature (
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Agricultural yields; Climate change; Climate variable; Air pollutants; Food security |
| Subjects: | H Social Sciences > HA Statistics Q Science > QA Mathematics S Agriculture > S Agriculture (General) |
| Faculty/Division: | Center for Mathematical Science Faculty of Industrial Sciences And Technology Institute of Postgraduate Studies |
| Depositing User: | Dr. Zun Liang Chuan |
| Date Deposited: | 22 Dec 2022 03:37 |
| Last Modified: | 22 Dec 2022 03:37 |
| URI: | http://umpir.ump.edu.my/id/eprint/35987 |
| Download Statistic: | View Download Statistics |
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