Factors influencing farmer adoption of climate-smart agriculture technologies: Evidence from Malaysia

As technology advances, people become increasingly dependent on technological tools to increase their work efficiency and productivity. Farming methods in the agriculture sector are also undergoing a shift from conventional to technology-driven modern agriculture practices, primarily because of thei...

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Published in:Human technology Vol. 20; no. 1; pp. 70 - 92
Main Authors: Aziz, Mohd Amar, Ayob, Noor Hadzlida, Ayob, Nor Azira, Ahmad, Yarina, Abdulsomad, Kamaruddin
Format: Journal Article
Language:English
Published: 27-05-2024
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Abstract As technology advances, people become increasingly dependent on technological tools to increase their work efficiency and productivity. Farming methods in the agriculture sector are also undergoing a shift from conventional to technology-driven modern agriculture practices, primarily because of their benefits and potential to mitigate the effects of climate change. However, the adoption rate of climate-smart agriculture technologies (CSAT) is considered to be very slow. Thus, this study was conducted to examine the factors that lead farmers to adopt CSAT in their agricultural practices. A sample of 185 farmers was used to investigate the main influencing factors in four contexts. The developed model was analyzed using the partial least squares structural equation modeling method. The results of this study suggest that institutions play a critical role as a contextual factor that leads individuals and societies to engage with CSAT, builds confidence, and convinces farmers to adopt these technologies.
AbstractList As technology advances, people become increasingly dependent on technological tools to increase their work efficiency and productivity. Farming methods in the agriculture sector are also undergoing a shift from conventional to technology-driven modern agriculture practices, primarily because of their benefits and potential to mitigate the effects of climate change. However, the adoption rate of climate-smart agriculture technologies (CSAT) is considered to be very slow. Thus, this study was conducted to examine the factors that lead farmers to adopt CSAT in their agricultural practices. A sample of 185 farmers was used to investigate the main influencing factors in four contexts. The developed model was analyzed using the partial least squares structural equation modeling method. The results of this study suggest that institutions play a critical role as a contextual factor that leads individuals and societies to engage with CSAT, builds confidence, and convinces farmers to adopt these technologies.
Author Ayob, Nor Azira
Ahmad, Yarina
Aziz, Mohd Amar
Abdulsomad, Kamaruddin
Ayob, Noor Hadzlida
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  surname: Abdulsomad
  fullname: Abdulsomad, Kamaruddin
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Cites_doi 10.1016/j.agsy.2021.103284
10.1016/j.agsy.2017.02.008
10.1108/EJM-09-2016-0522
10.1016/j.heliyon.2019.e01788
10.22434/IFAMR2016.0081
10.2307/249008
10.1515/jafio-2021-0012
10.2307/41410412
10.1080/09718524.2020.1830338
10.1111/ecin.12858
10.1016/j.jclepro.2020.124620
10.1108/EJM-02-2019-0189
10.1108/K-02-2017-0045
10.1504/IJTMKT.2019.102266
10.1016/j.chb.2015.02.068
10.1016/j.jclepro.2016.10.047
10.3758/BF03193146
10.1108/IJCCSM-04-2021-0035
10.1016/j.techsoc.2022.102030
10.1007/978-981-32-9856-9_13
10.3390/educsci12050337
10.1016/j.trpro.2016.05.237
10.3390/agriculture12081161
10.3390/su10061990
10.1016/j.regsus.2022.01.005
10.1007/s12571-018-0824-1
10.1016/j.jrurstud.2022.04.011
10.46303/ressat.04.02.2
10.1016/j.foodpol.2022.102304
10.1108/JADEE-07-2017-0072
10.1079/20220030734
10.3389/fenvs.2022.881293
10.3390/su11174710
10.1016/j.landusepol.2017.07.020
10.1111/j.1540-5885.2011.00818.x
10.1002/aepp.13151
10.1080/17565529.2021.1885336
10.1007/s11747-014-0403-8
10.1186/s40066-018-0230-0
10.1016/j.chb.2016.10.028
10.1016/j.agsy.2016.05.004
10.1007/s10869-018-09613-8
10.1016/j.jclepro.2017.06.019
10.17011/ht/urn.20105241907
10.2224/sbp.2008.36.7.933
10.3390/su11226267
10.1108/EBR-11-2018-0203
10.1016/j.jclepro.2021.128602
10.1186/1748-5908-3-41
10.1504/IJARGE.2022.124650
10.1016/j.envsci.2019.01.014
10.1016/j.jenvman.2022.116258
10.1016/j.sciaf.2019.e00250
10.1016/j.chb.2013.09.008
10.1007/s11301-017-0133-3
10.3390/su10072177
10.1080/00288230709510329
10.3390/su12125168
10.3390/cli5030063
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References 3957
3958
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3993
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3994
3951
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3954
3955
3956
3970
3968
3969
3928
3929
3960
3961
3962
3963
3964
3965
3966
3967
3980
3981
3935
3979
3936
3937
3938
3939
3971
3972
3973
3930
3974
3931
3975
3932
3976
3933
3977
3934
3978
3990
3991
3992
3946
3947
3948
3949
3982
3983
3940
3984
3941
3985
3942
3986
3943
3987
3944
3988
3945
3989
References_xml – ident: 3935
  doi: 10.1016/j.agsy.2021.103284
– ident: 3932
  doi: 10.1016/j.agsy.2017.02.008
– ident: 3978
  doi: 10.1108/EJM-09-2016-0522
– ident: 3991
  doi: 10.1016/j.heliyon.2019.e01788
– ident: 3962
  doi: 10.22434/IFAMR2016.0081
– ident: 3943
  doi: 10.2307/249008
– ident: 3976
  doi: 10.1515/jafio-2021-0012
– ident: 3989
  doi: 10.2307/41410412
– ident: 3957
  doi: 10.1080/09718524.2020.1830338
– ident: 3963
  doi: 10.1111/ecin.12858
– ident: 3967
  doi: 10.1016/j.jclepro.2020.124620
– ident: 3984
  doi: 10.1108/EJM-02-2019-0189
– ident: 3956
  doi: 10.1108/K-02-2017-0045
– ident: 3945
– ident: 3970
– ident: 3930
  doi: 10.1504/IJTMKT.2019.102266
– ident: 3942
  doi: 10.1016/j.chb.2015.02.068
– ident: 3951
– ident: 3959
  doi: 10.1016/j.jclepro.2016.10.047
– ident: 3946
  doi: 10.3758/BF03193146
– ident: 3968
  doi: 10.1108/IJCCSM-04-2021-0035
– ident: 3966
  doi: 10.1016/j.techsoc.2022.102030
– ident: 3977
  doi: 10.1007/978-981-32-9856-9_13
– ident: 3994
  doi: 10.3390/educsci12050337
– ident: 3964
  doi: 10.1016/j.trpro.2016.05.237
– ident: 3983
  doi: 10.3390/agriculture12081161
– ident: 3987
  doi: 10.3390/su10061990
– ident: 3933
  doi: 10.1016/j.regsus.2022.01.005
– ident: 3953
  doi: 10.1007/s12571-018-0824-1
– ident: 3944
  doi: 10.1016/j.jrurstud.2022.04.011
– ident: 3947
  doi: 10.46303/ressat.04.02.2
– ident: 3980
– ident: 3937
  doi: 10.1016/j.foodpol.2022.102304
– ident: 3995
  doi: 10.1108/JADEE-07-2017-0072
– ident: 3940
  doi: 10.1079/20220030734
– ident: 3931
  doi: 10.3389/fenvs.2022.881293
– ident: 3974
  doi: 10.3390/su11174710
– ident: 3960
  doi: 10.1016/j.landusepol.2017.07.020
– ident: 3973
– ident: 3941
  doi: 10.1111/j.1540-5885.2011.00818.x
– ident: 3939
  doi: 10.1002/aepp.13151
– ident: 3929
– ident: 3990
  doi: 10.1080/17565529.2021.1885336
– ident: 3954
  doi: 10.1007/s11747-014-0403-8
– ident: 3992
  doi: 10.1186/s40066-018-0230-0
– ident: 3993
  doi: 10.1016/j.chb.2016.10.028
– ident: 3979
  doi: 10.1016/j.agsy.2016.05.004
– ident: 3985
  doi: 10.1007/s10869-018-09613-8
– ident: 3982
  doi: 10.1016/j.jclepro.2017.06.019
– ident: 3972
  doi: 10.17011/ht/urn.20105241907
– ident: 3961
  doi: 10.2224/sbp.2008.36.7.933
– ident: 3958
  doi: 10.3390/su11226267
– ident: 3952
  doi: 10.1108/EBR-11-2018-0203
– ident: 3936
  doi: 10.1016/j.jclepro.2021.128602
– ident: 3981
  doi: 10.1186/1748-5908-3-41
– ident: 3986
– ident: 3938
– ident: 3928
  doi: 10.1504/IJARGE.2022.124650
– ident: 3934
– ident: 3965
  doi: 10.1016/j.envsci.2019.01.014
– ident: 3955
  doi: 10.1016/j.jenvman.2022.116258
– ident: 3975
– ident: 3988
  doi: 10.1016/j.sciaf.2019.e00250
– ident: 3996
  doi: 10.1016/j.chb.2013.09.008
– ident: 3950
  doi: 10.1007/s11301-017-0133-3
– ident: 3969
  doi: 10.3390/su10072177
– ident: 3948
  doi: 10.1080/00288230709510329
– ident: 3949
  doi: 10.3390/su12125168
– ident: 3971
  doi: 10.3390/cli5030063
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SubjectTerms Annan samhällsvetenskap
climate smart agriculture technologies
environment
institutions
Other Social Sciences
Samhällsvetenskap
Social Sciences
Social Sciences Interdisciplinary
sustainability
Tvärvetenskapliga studier inom samhällsvetenskap
Title Factors influencing farmer adoption of climate-smart agriculture technologies: Evidence from Malaysia
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