scholarly journals Concerned or not? Investigating determinants of climate change concerns among Saudi Arabian farmers and their adaptation behavior

2021 ◽  
Author(s):  
Bader Alhafi Alotaibi ◽  
Azhar Abbas ◽  
Raza Ullah ◽  
Hazem S. Kassem ◽  
Muhammad Imran Azeem ◽  
...  
Keyword(s):  
Climate Change ◽  
Capacity Building ◽  
Logit Model ◽  
Positive Influence ◽  
Ordered Logit ◽  
Socioeconomic Indicators ◽  
Access To Credit ◽  
Ordered Logit Model ◽  
Level Of Concern ◽  
Change Concerns

Abstract Concern for a particular stimulus constitutes a major driver to mitigate its negative effects. This study was undertaken to know the level of concern for climate change among Saudi farmers in Jazan province and to evaluate the role of various socioeconomic indicators in relation to their concern level. Moreover, an account of farmers’ beliefs about climate change and capacity building initiatives needed to address this issue at the community level is also presented. Field level data collected through a face-to-face survey using a structured questionnaire were utilized to draw insights. The ordered logit model was used to find out the determinants for the level of concern for climate change among respondent farmers regarding three top concern categories. Farmers ranked insect infestation, higher incidence of crop diseases, and drought as the first, second and third, respectively, as top climate change concerns in the study area. Results of the ordered logit model showed that higher farmer income significantly reduces their level of concern for the first two categories of concern while it has a positive influence on concern for drought. Access to credit and information has a mixed impact on the farmers’ concern level. Farmer’s age, education, perceived source of climate change, and perceived changes in temperature and rainfall have a mixed impact on the top three climate change-related concerns. The findings support the provision of timely warning, capacity building of the farmers and personnel, credit provision, improvement of rural infrastructure, and creating awareness among farmers to address particular climate change-related concerns.

scholarly journals Climate Change Concerns of Saudi Arabian Farmers: The Drivers and Their Role in Perceived Capacity Building Needs for Adaptation

2021 ◽  
Vol 13 (22) ◽  
pp. 12677
Author(s):  
Bader Alhafi Alotaibi ◽  
Azhar Abbas ◽  
Raza Ullah ◽  
Roshan K. Nayak ◽  
Muhammad I. Azeem ◽  
...  
Keyword(s):  
Climate Change ◽  
Capacity Building ◽  
Production Systems ◽  
Socioeconomic Indicators ◽  
Insect Infestation ◽  
Credit Access ◽  
Rural Economies ◽  
Global Agriculture ◽  
Level Of Concern ◽  
Tackle Climate Change

Climate change is a serious threat to the sustainability of global agriculture and food supply that necessitates taking appropriate action for building resilient food production systems and preserving rural economies. In this regard, farmers’ beliefs and concerns about the effects of climate change on agriculture may influence their adoption of adaptation and mitigation practices to address this emerging issue. This work was undertaken to evaluate farmers’ level of concern about climate change in the Jazan province of Saudi Arabia. The study also explored the role of various socioeconomic indicators in shaping farmers’ concerns and highlights various capacity-building initiatives that can be applied at the community level for effective adaptation. Ordered logistic regression was used to study the relationship between farmers’ level of concern and their need for capacity-building initiatives to tackle climate change. Results indicated that insect infestation is the farmers’ top concern, followed by higher crop-diseases incidence and drought. Regression analysis revealed that farmers’ income is a major factor that reduces their concern for insect infestation and crop disease while increases concern for drought. Credit access and information availability have a mixed impact on the farmers’ concern level. Capacity-building initiatives deemed necessary included establishing frequent contacts with extension personnel, timely warnings on droughts and other natural hazards, the training of farmers and extension workers, easy credit facilities, improvement in rural infrastructure and creation of awareness to address specific concern stimulus.

scholarly journals Air Transport Passengers’ Satisfaction: an Ordered Logit Model

2018 ◽  
Vol 33 ◽  
pp. 147-154 ◽  
Author(s):  
Maria Grazia Bellizzi ◽  
Laura Eboli ◽  
Carmen Forciniti ◽  
Gabriella Mazzulla
Keyword(s):  
Logit Model ◽  
Air Transport ◽  
Ordered Logit ◽  
Ordered Logit Model

scholarly journals Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis

2020 ◽  
Vol 17 (8) ◽  
pp. 2768 ◽  
Author(s):  
Qiang Zeng ◽  
Wei Hao ◽  
Jaeyoung Lee ◽  
Feng Chen
Keyword(s):  
Real Time ◽  
Spatial Correlation ◽  
Logit Model ◽  
Weather Conditions ◽  
Crash Severity ◽  
Ordered Logit ◽  
Ordered Logit Model ◽  
Generalized Ordered Logit ◽  
Severity Levels ◽  
Generalized Ordered Logit Model

This study presents an empirical investigation of the impacts of real-time weather conditions on the freeway crash severity. A Bayesian spatial generalized ordered logit model was developed for modeling the crash severity using the hourly wind speed, air temperature, precipitation, visibility, and humidity, as well as other observed factors. A total of 1424 crash records from Kaiyang Freeway, China in 2014 and 2015 were collected for the investigation. The proposed model can simultaneously accommodate the ordered nature in severity levels and spatial correlation across adjacent crashes. Its strength is demonstrated by the existence of significant spatial correlation and its better model fit and more reasonable estimation results than the counterparts of a generalized ordered logit model. The estimation results show that an increase in the precipitation is associated with decreases in the probabilities of light and severe crashes, and an increase in the probability of medium crashes. Additionally, driver type, vehicle type, vehicle registered province, crash time, crash type, response time of emergency medical service, and horizontal curvature and vertical grade of the crash location, were also found to have significant effects on the crash severity. To alleviate the severity levels of crashes on rainy days, some engineering countermeasures are suggested, in addition to the implemented strategies.

scholarly journals A RANK-ORDERED LOGIT MODEL WITH UNOBSERVED HETEROGENEITY IN RANKING CAPABILITIES

2010 ◽  
Vol 27 (5) ◽  
pp. 831-846 ◽  
Author(s):  
Dennis Fok ◽  
Richard Paap ◽  
Bram Van Dijk
Keyword(s):  
Logit Model ◽  
Unobserved Heterogeneity ◽  
Ordered Logit ◽  
Ordered Logit Model

Use of ordered logit model with time series data for determining the factors affecting the milk yield of Holstein Friesians

2019 ◽  
Author(s):  
Özge Akkuş ◽  
Volkan Sevinç
Keyword(s):  
Time Series ◽  
Milk Yield ◽  
Logit Model ◽  
Time Series Data ◽  
Series Data ◽  
Ordered Logit ◽  
Factors Affecting ◽  
Ordered Logit Model ◽  
Lactation Length ◽  
Cattle Breeders

This article aims to introduce the use of ordered logit model with time series data in milk productivity studies and determine the important factor levels affecting the milk yield of Holstein Friesians. The data consists of 2002 records collected for the years 2009-2015 from the reports of the Cattle Breeders’ Association of Turkey (CBAT) in Muðla province in Turkey. The direct and marginal effects of the variables: parity, lactation length and year of calving on milk yield are investigated and the probabilities regarding the milk yield production for a given specific parity, lactation length and calving year are calculated. The results show that milk yield slightly increases on the 4th parity of cows. As far as the years concerned, although there had mostly been a steady amount of milk production between 2009 and 2015 years, there was a significant decrease in 2011 and increase in 2014.

Targeting Consumers for Exporting Rice to China by Ordered Logit Model Analysis

2017 ◽  
Vol 29 (4) ◽  
pp. 421-426
Author(s):  
Se-Hyuk Kim ◽  
◽  
Cheong-Ryong Lim ◽  
Hang-Ah Lee ◽  
Yun-Mi Oh ◽  
...  
Keyword(s):  
Logit Model ◽  
Model Analysis ◽  
Ordered Logit ◽  
Ordered Logit Model
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