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Perception to Adaptation of Climate Change in Nepal: An Empirical Analysis Using Multivariate Probit Model
- Source :
- Sci, Volume 2, Issue 4, Sci, Vol 2, Iss 87, p 87 (2020), Volume 1, Issue 1, Issue 3
- Publication Year :
- 2020
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2020.
-
Abstract
- This study assessed farmers&rsquo<br />perception of climate change, and estimated the determinants of, and evaluated the relationship among, adaptation practices using the multivariate probit model. A survey in 300 agricultural households was carried out covering 10 sample districts considering five agro-ecological zones and a vulnerability index. Four adaptation choices (change in planting date, crop variety, crop type and investment in irrigation) were deemed as outcome variables and socioeconomic, demographic, institutional, farm-level and perceptions variables were deployed as explanatory variables. Their marginal effects were determined for three climatic variables&mdash<br />temperature, precipitation and drought. Age, gender and education of head of household, credit access, farm area, rain-fed farming and tenure, were found to be more influential compared to other factors. All four adaptation options were found to be complimentary to each other. Importantly, the intensity of the impact of dependent variables in different models, and for the available adaptation options, were found to be unequal. Therefore, policy options and support facilities should be devised according to climatic variables and adaptation options to achieve superior results.
- Subjects :
- 010504 meteorology & atmospheric sciences
Vulnerability index
media_common.quotation_subject
Climate change
Sample (statistics)
adaptation
010501 environmental sciences
perception
01 natural sciences
Head of Household
Multivariate probit model
Nepal
immune system diseases
Perception
Econometrics
Materials Chemistry
Adaptation (computer science)
lcsh:Science
Socioeconomics
Socioeconomic status
0105 earth and related environmental sciences
media_common
Variables
business.industry
food and beverages
respiratory tract diseases
multivariate probit
Geography
climate change
Agriculture
lcsh:Q
business
Subjects
Details
- Language :
- English
- ISSN :
- 24134155
- Database :
- OpenAIRE
- Journal :
- Sci
- Accession number :
- edsair.doi.dedup.....08851a7b2e6b252387505401ef1454a9
- Full Text :
- https://doi.org/10.3390/sci2040087