Does the adaptation of climate-smart agricultural practices increase farmers' resilience to climate change?
Adoption
Agricultural innovation
Climate-smart agriculture
Pakistan
Productivity
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
received:
10
07
2020
accepted:
07
01
2021
pubmed:
29
1
2021
medline:
1
6
2021
entrez:
28
1
2021
Statut:
ppublish
Résumé
Traditional agricultural practices, extensive use of inputs, and abrupt changes in climate have been of great concern to agriculture production around the world, especially in developing countries. Therefore, it is very vital to adopt and expand Climate-Smart agricultural (CSA) practices. By the cross-sectional data of 350 cotton farmers from major cotton-growing districts of Punjab Pakistan, adoption of CSA practices such as irrigation and soil and crop management practices is evaluated, and factors which affect farmer adoption decision and its impact on poverty, income, and yield are estimated by using logistic regression and propensity score matching (PSM) respectively. The results found that education, access to credit, tubewell ownership, farming experience, and access to extension services positively influenced farmers' adoption behavior. Further, PSM results revealed that adoption of CSA practices is economical, financially, environmentally desirable, and pro-poor. According to these findings, ultimately adoption would help in reducing the negative impact of climate change on the cotton crop by ensuring profits, removing the barriers in the adoption, disseminating the information about CSA, and strictly enforcing the regulations for CSA.
Identifiants
pubmed: 33507505
doi: 10.1007/s11356-021-12425-8
pii: 10.1007/s11356-021-12425-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
27238-27249Subventions
Organisme : National Science Foundation of People's Republic of China
ID : 71673216
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