Modelling the impacts of climate change and air pollutants on the agricultural production yields in Malaysia using Random-Effects Error Components Regression model

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’ agricul...

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Main Authors: Chuan, Zun Liang, Fam, S. F., Lee, Q. H., Kok, J. S., Azam, M. N. B. M.
Format: Article
Language:English
Published: Penerbit UMP 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/35987/1/Modeling%20the%20impacts%20of%20climate%20change%20and%20air%20pollutants.pdf
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author Chuan, Zun Liang
Fam, S. F.
Lee, Q. H.
Kok, J. S.
Azam, M. N. B. M.
author_facet Chuan, Zun Liang
Fam, S. F.
Lee, Q. H.
Kok, J. S.
Azam, M. N. B. M.
author_sort Chuan, Zun Liang
collection UMP
description 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 (
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spelling UMPir359872022-12-22T03:37:36Z http://umpir.ump.edu.my/id/eprint/35987/ Modelling the impacts of climate change and air pollutants on the agricultural production yields in Malaysia using Random-Effects Error Components Regression model Chuan, Zun Liang Fam, S. F. Lee, Q. H. Kok, J. S. Azam, M. N. B. M. HA Statistics QA Mathematics S Agriculture (General) 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 ( Penerbit UMP 2022-09 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/35987/1/Modeling%20the%20impacts%20of%20climate%20change%20and%20air%20pollutants.pdf 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) https://doi.org/10.15282/daam.v3i2.7755 https://doi.org/10.15282/daam.v3i2.7755
spellingShingle HA Statistics
QA Mathematics
S Agriculture (General)
Chuan, Zun Liang
Fam, S. F.
Lee, Q. H.
Kok, J. S.
Azam, M. N. B. M.
Modelling the impacts of climate change and air pollutants on the agricultural production yields in Malaysia using Random-Effects Error Components Regression model
title Modelling the impacts of climate change and air pollutants on the agricultural production yields in Malaysia using Random-Effects Error Components Regression model
title_full Modelling the impacts of climate change and air pollutants on the agricultural production yields in Malaysia using Random-Effects Error Components Regression model
title_fullStr Modelling the impacts of climate change and air pollutants on the agricultural production yields in Malaysia using Random-Effects Error Components Regression model
title_full_unstemmed Modelling the impacts of climate change and air pollutants on the agricultural production yields in Malaysia using Random-Effects Error Components Regression model
title_short Modelling the impacts of climate change and air pollutants on the agricultural production yields in Malaysia using Random-Effects Error Components Regression model
title_sort modelling the impacts of climate change and air pollutants on the agricultural production yields in malaysia using random effects error components regression model
topic HA Statistics
QA Mathematics
S Agriculture (General)
url http://umpir.ump.edu.my/id/eprint/35987/1/Modeling%20the%20impacts%20of%20climate%20change%20and%20air%20pollutants.pdf
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