scholarly journals Perception to Adaptation of Climate Change in Nepal: An Empirical Analysis Using Multivariate Probit Model

Sci ◽  
2020 ◽  
Vol 2 (4) ◽  
pp. 87
Author(s):  
Arun GC ◽  
Jun-Ho Yeo
Keyword(s):  
Climate Change ◽  
Probit Model ◽  
Vulnerability Index ◽  
Climatic Variables ◽  
Multivariate Probit ◽  
Multivariate Probit Model ◽  
Ecological Zones ◽  
Explanatory Variables ◽  
The Impact ◽  
Adaptation Options

This study assessed farmers’ 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—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.

Perception to Adaptation of Climate Change in Nepal: An Empirical Analysis Using Multivariate Probit Model

Sci ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 57
Author(s):  
GC ◽  
Yeo
Keyword(s):  
Climate Change ◽  
Probit Model ◽  
Vulnerability Index ◽  
Climatic Variables ◽  
Multivariate Probit ◽  
Multivariate Probit Model ◽  
Credit Access ◽  
Ecological Zones ◽  
Explanatory Variables ◽  
Adaptation Options

This study assessed farmers’ perception of climate change, 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—temperature, precipitation and drought. Age, gender and education of head of household, credit access, farm area, rain-fed farming and tenure, are found to be more influential compared to other factors. All four adaptation-options are found to be complimentary to each other. Importantly, the intensity of impact of dependent variables in different models, and for available adaptation-options, are found to be unequal. Therefore, policy options and support facilities should be devised according to climatic variables and adaptation options to achieve superior results.

scholarly journals Perception to Adaptation of Climate Change in Nepal: An Empirical Analysis Using Multivariate Probit Model

Sci ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 12 ◽  
Author(s):  
Arun GC ◽  
Jun-Ho Yeo
Keyword(s):  
Climate Change ◽  
Probit Model ◽  
Vulnerability Index ◽  
Climatic Variables ◽  
Multivariate Probit ◽  
Multivariate Probit Model ◽  
Credit Access ◽  
Ecological Zones ◽  
Explanatory Variables ◽  
Adaptation Options

This study assessed farmers’ perception of climate change, 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—temperature, precipitation and drought. Age, gender and education of head of household, credit access, farm area, rain-fed farming and tenure, are found to be more influential compared to other factors. All four adaptation-options are found to be complimentary to each other. Importantly, the intensity of impact of dependent variables in different models, and for available adaptation-options, are found to be unequal. Therefore, policy options and support facilities should be devised according to climatic variables and adaptation options to achieve superior results.

Determinants of Relevant Constraints Inhibiting Farmers’ Adoption of Climate Change Adaptation Strategies in South Africa

2020 ◽  
pp. 002190962093483
Author(s):  
KT Thinda ◽  
AA Ogundeji ◽  
JA Belle ◽  
TO Ojo
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Agricultural Sector ◽  
Smallholder Farmers ◽  
Probit Model ◽  
Adaptation Strategies ◽  
Multivariate Probit ◽  
Agricultural Credit ◽  
Multivariate Probit Model ◽  
Climate Change Adaptation Strategies

The adverse effects of climate change on agricultural productivity are on the increase. This study employed both descriptive statistics and the multivariate probit model to estimate factors constraining the adoption of climate change adaptation strategies among smallholder farmers in the study area. The empirical results of the multivariate probit model showed that a lack of knowledge of climate change constraints was influenced by smallholder farmers’ age, gender, off-farm activity, susceptibility and membership in farmer-based organizations. Thus, to improve the adaptive capacity of farmers, government and development partners should work together to improve the conditions under which farmers can gain access to climate change information and suitable agricultural credit as well as policy incentives aimed at lowering the stringent conditions of borrowing in the agricultural sector.

scholarly journals Determinants of Pesticide Application in Nepalese Vegetable Farming: An Empirical Analysis using Multivariate Probit Model

2017 ◽  
Author(s):  
Arun GC ◽  
Kiran Ghimire
Keyword(s):  
Empirical Analysis ◽  
Winter Season ◽  
Household Survey ◽  
Probit Model ◽  
Multivariate Probit ◽  
Multivariate Probit Model ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Head Of Household ◽  
Vegetable Farming

Currently, the pesticides are the global core concern because it is a boon to farmers against increasing disease-pest and simultaneously, pesticide residue is the major anxiety regarding human health. For that reason, identification and determination of factors affecting the application of pesticides are essential. To identify and evaluate determinants of pesticides application in Nepal, a household survey of 300 households was carried-out and an empirical analysis was done using multivariate probit model. Moreover, powder and liquid forms of pesticides were considered for summer and winter season in vegetable farming, which was assigned as outcome variables. Likewise, socio-economic, demographic, farm-level and perception data were considered as explanatory variables. Use of chemical fertilizers, age and gender of head of household, household size and access to weather information were found the most influencing factors. Moreover, forms of pesticides and growing seasons were found complementary to each other. Therefore, devising the policy options accordingly should balance needs of farmers and health of consumers.

scholarly journals Factors Influencing Farmer’s Choice of Crop Production Response Strategies to Climate Change and Variability in Narok East Sub-county, Kenya

2018 ◽  
Vol 8 ◽  
pp. 69-77
Author(s):  
Kelvin J. Kinuthia ◽  
Shadrack K. Inoti ◽  
Lenah Nakhone
Keyword(s):  
Climate Change ◽  
Household Head ◽  
Probit Model ◽  
Multivariate Probit ◽  
Annual Rainfall ◽  
Multivariate Probit Model ◽  
Response Strategies ◽  
Climate Change And Variability ◽  
The World ◽  
Impacts Of Climate Change

Climate change is considered one of the most serious threats to sustainable development in the world. As a sector, agriculture is very dependent on climatic conditions, which makes it extremely vulnerable to the impacts of climate change and variability. The semi-arid areas of the world are especially more vulnerable to the impacts of climate change and variability. The purpose of this study was to determine how farmers adapt to changing climate in Narok East, and determine the factors that influence their choice of response strategies. Data was collected from 223 household heads using a semi-structured questionnaire. Data was analysed using descriptive statistics to determine how farmers adapt to climate change and variability while Principal Component Analysis and a multivariate probit model were used to assess the factors that influence the choice of response strategies. The results showed that early planting, increased use of manure, use of terraces, increased use of inorganic fertilisers, and planting short season crops were the most widely used strategies while the least used were planting agroforestry trees, crop diversification and irrigation. Results of the multivariate probit model showed that the age of the household head, total household size, level of education of the household head, noticing changes in mean annual rainfall and onset of rains, receiving weather information, and the land tenure system were all significant factors that influence the choice of the response strategy. This study, therefore, recommends boosting more education and climate change awareness for the farmers of Narok East Sub-county.

scholarly journals Perceptions and Adaptations to Climate Change in Southern Mali

2021 ◽  
Author(s):  
Tiémoko Soumaoro
Keyword(s):  
Climate Change ◽  
Logistic Regression ◽  
Educational Level ◽  
Multinomial Logistic Regression ◽  
Probit Model ◽  
Adaptation To Climate Change ◽  
Impact Of Climate Change ◽  
Main Determinants ◽  
The Impact

This study aims to determine the impact of climate change on market garden production in the extreme south of Mali through the perception and adaptation of market gardeners to climatic phenomena. The study used two models, namely the probit selection and Heckman results models and multinomial logistic regression, based on data collected from producers. A total of 194 producers were surveyed. The results of Heckman's probit model indicate that experience in agriculture and the educational level of the producers are the two main determinants of producers' perception and simultaneous adaptation to climate change. Among these variables agricultural experience is both positively and negatively correlated with perception.

Waterborne Diseases and Climate Change: Impact and Implications

2018 ◽  
pp. 469-484
Author(s):  
Maha Bouzid
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Disease Transmission ◽  
Waterborne Diseases ◽  
Vector Borne Diseases ◽  
Significant Burden ◽  
Change Impact ◽  
Vector Borne ◽  
The Impact ◽  
Adaptation Options

Waterborne diseases are caused by a multitude of pathogens and associated with a significant burden in both developed and developing countries. While the assessment of the adverse impacts of climate change on human heath from infectious diseases has mainly focused on vector-borne diseases, waterborne diseases prevalence and transmission patterns are also likely to be impacted by environmental change. This chapter will outline relevant waterborne pathogens, summarise the impact of climate change on disease transmission and explore climate change adaptation options in order to reduce the increased burden of waterborne diseases.

Waterborne Diseases and Climate Change

2017 ◽  
pp. 1041-1055
Author(s):  
Maha Bouzid
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Disease Transmission ◽  
Waterborne Diseases ◽  
Waterborne Pathogens ◽  
Vector Borne Diseases ◽  
Significant Burden ◽  
Vector Borne ◽  
The Impact ◽  
Adaptation Options

Waterborne diseases are caused by a multitude of pathogens and associated with a significant burden in both developed and developing countries. While the assessment of the adverse impacts of climate change on human heath from infectious diseases has mainly focused on vector-borne diseases, waterborne diseases prevalence and transmission patterns are also likely to be impacted by environmental change. This chapter will outline relevant waterborne pathogens, summarise the impact of climate change on disease transmission and explore climate change adaptation options in order to reduce the increased burden of waterborne diseases.

scholarly journals People’s perception on agricultural vulnerabilities to climate change and SLR in Bangladesh: adaptation strategies and explanatory variables

2018 ◽  
Vol 8 (1) ◽  
pp. 70-78
Author(s):  
MA Islam ◽  
SK Paul
Keyword(s):  
Climate Change ◽  
Adaptation Strategies ◽  
External Support ◽  
Great Loss ◽  
Explanatory Variables ◽  
Climatic Hazards ◽  
People’S Perception ◽  
Relevant Variables ◽  
The Impact ◽  
Impacts Of Climate Change

The objective of this research is to evaluate people’s perception on vulnerabilities of agriculture and to explore effective adaptation options with identifying the underlying demographic, socio-economic and other relevant variables that influence the adaptation strategies in the sea level rise (SLR) hazard induced coastal areas of Bangladesh. The study finds that climate change and induced SLR are emerging threats to coastal agriculture of Bangladesh; hence, farmers are applying different adaptation strategies to reduce the vulnerabilities of coastal agriculture. Selection of effective adaptation strategies to vulnerabilities of agriculture depends not only on the magnitude, intensity and the impacts of climate change and SLR, but also perceptions and types of farmer, land, educational level, indigenous knowledge about adaptation, locational advantages, external support, community awareness and sharing of different effective mechanisms among the farmers. Effective adaptation strategies with high perceptions have significant influence to reduce the vulnerabilities of agriculture considering the adverse impacts of climate change and SLR. In time of extreme climatic hazards when a great loss in agriculture hamper the coastal agrobased economy, different effective indigenous local adaptation strategies through farmer awareness and community co-operation become vital for minimizing the impact of climatic hazards and reducing the vulnerabilities of coastal agriculture.Int. J. Agril. Res. Innov. & Tech. 8 (1): 70-78, June, 2018

scholarly journals Future Climate Change Will Have a Positive Effect on Populus davidiana in China

Forests ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 1120 ◽  
Author(s):  
Jie Li ◽  
Guan Liu ◽  
Qi Lu ◽  
Yanru Zhang ◽  
Guoqing Li ◽  
...  
Keyword(s):  
Climate Change ◽  
Human Disturbance ◽  
Vulnerability Index ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Degree Of Protection ◽  
Populus Davidiana ◽  
The Impact ◽  
Degree Of Fragmentation

Since climate change significantly affects global biodiversity, a reasonable assessment of the vulnerability of species in response to climate change is crucial for conservation. Most existing methods estimate the impact of climate change on the vulnerability of species by projecting the change of a species’ distribution range. This single-component evaluation ignores the impact of other components on vulnerability. In this study, Populus davidiana (David’s aspen), a tree species widely used in afforestation projects, was selected as the research subject under four future climate change scenarios (representative concentration pathway (RCP)2.6, RCP4.5, RCP6.0, and RCP8.5). Exposure components of range change as well as the degree of fragmentation, degree of human disturbance, and degree of protection were considered simultaneously. Then, a multicomponent vulnerability index was established to assess the effect of future climate change on the vulnerability of P. davidiana in China. The results show that the distribution range of P. davidiana will expand to the northwest of China under future climate change scenarios, which will lead to an increased degree of protection and a decreased degree of human disturbance, and hardly any change in the degree of fragmentation. The multicomponent vulnerability index values of P. davidiana under the four emission scenarios are all positive by 2070, ranging from 14.05 to 38.18, which fully indicates that future climate change will be conducive to the survival of P. davidiana. This study provides a reference for the development of conservation strategies for the species as well as a methodological case study for multicomponent assessment of species vulnerability to future climate change.

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