scholarly journals A PROBIT ANALYSIS OF FACTORS AFFECTING DECISIONS TO CONTINUE MAINTAINING SOIL CONSERVATION STRUCTURES AFTER ADOPTION OF THE TECHNOLOGY IN KERICHO COUNTY, KENYA

2021 ◽  
Vol 119 (11) ◽  
pp. 147-153
Author(s):  
M.J. Kipsat ◽  
M.P. Bwari ◽  
D.O. Osewe
Keyword(s):  
Soil Conservation ◽  
Probit Analysis ◽  
Factors Affecting

scholarly journals Factors affecting cattle producers’ willingness to adopt an Escherichia coli O157:H7 vaccine: a probit analysis

2017 ◽  
Vol 20 (3) ◽  
pp. 347-363 ◽  
Author(s):  
Brian J. Ochieng’ ◽  
Jill E. Hobbs
Keyword(s):  
Supply Chain ◽  
Probit Analysis ◽  
Production Environment ◽  
Factors Affecting ◽  
E Coli ◽  
Internal Locus Of Control ◽  
Policy Interventions ◽  
Primary Responsibility ◽  
Willingness To Adopt ◽  
The Individual

E. coli O157:H7 bacteria – a major cause of foodborne illness – occur naturally in the intestine of cattle but do not affect the health or productivity of the animal. A cattle vaccine that significantly reduces the risk of E. coli contamination was developed and commercialized in Canada and internationally, however, adoption by cattle producers remained extremely low. Utilizing data from a survey of cow-calf producers in western Canada, this paper examines the factors affecting cattle producers’ willingness to adopt the E. coli vaccine. Education, prior awareness of the vaccine, perception of who holds primary responsibility for E. coli risk reduction, and a producer’s external (versus internal) locus of control with respect to their ability to mitigate E. coli risks within the production environment are significant determinants of willingness to adopt. Adoption incentives are also evaluated, including policy interventions, market/supply chain incentives, production protocol, and producer reputation incentives. The analysis provides lessons for the development and commercialization of vaccines and other food safety intervention strategies that yield societal and supply chain benefits beyond the individual adopter.

scholarly journals Tüketicilerin Coğrafi İşaretli Ürünler İçin Ödeme İstekliliğine Etki Eden Faktörler: Niksar Cevizi Örneği

2020 ◽  
Vol 8 (11) ◽  
pp. 2476-2481
Author(s):  
Tayfun Çukur ◽  
Nuray Kızılaslan ◽  
Figen Çukur ◽  
Halil Kızılaslan
Keyword(s):  
Willingness To Pay ◽  
Negative Correlation ◽  
Probit Analysis ◽  
Agricultural Products ◽  
Geographical Indications ◽  
Positive Relation ◽  
Factors Affecting ◽  
Face To Face ◽  
Food Expenditure

Undoubtedly, supply demand balance must be ensured for the development of geographically indications products. In order to increase the demand for geographically indications products, firstly, consumers should be aware of the geographically indications products and have information about the benefits and advantages of these products. Undoubtedly, as with other agricultural products, price is also an important issue for purchases in geographical indications products. Therefore, it was aimed to determine the factors affecting consumers' willingness to pay for geographical indications products in the Tokat province. For this purpose, face to face survey was conducted with 382 consumers. It was determined that 49,21% of the consumers who participated in the research wanted to pay more price for a product with a geographical indications label. According to the results of the probit analysis, a positive relation was found between awering that Niksar walnut is a geographical indications product and the willingness to pay for geographical indications products. However, a negative correlation was found between monthly food expenditure and tendency to pay for geographical indications products.

scholarly journals A Probit Analysis of the Incidence of the Cotton Leaf Curl Virus in Punjab, Pakistan

1997 ◽  
Vol 36 (2) ◽  
pp. 155-169 ◽  
Author(s):  
Munir Ahmad ◽  
George E. Battese
Keyword(s):  
Formal Education ◽  
Probit Model ◽  
Probit Analysis ◽  
Cotton Leaf ◽  
Factors Affecting ◽  
Land Preparation ◽  
Cotton Leaf Curl Virus ◽  
Managerial Capabilities ◽  
Leaf Curl Virus ◽  
Leaf Curl

Factors affecting the incidence of the cotton leaf curl virus (CLCV) in Punjab, Pakistan are investigated using a probit model. The results indicate that the history of a cotton variety grown on the farm, better land preparation before sowing, and use of pesticides and phosphorus fertiliser significantly reduce the probability of incidence of the CLCV disease. The farmers having greater areas under cotton are less likely to be affected by the disease. Fields of the more experienced farmers, who have greater years of formal education, are also less likely to be affected, because these farmers are believed to be better managers. However, the probability of damage was positively related to age of the farmer, which implies that the aged farmers have less managerial capabilities. The intensity of the disease varied from district to district and also from variety to variety. Use of greater amounts of nitrogenous fertiliser, more severe insect attacks, and late sowing of the cotton crop significantly increase the incidence of the CLCV disease.

scholarly journals Factors Affecting Farmers' Utilization of Agricultural Risk Management Tools: The Case of Crop Insurance, Forward Contracting, and Spreading Sales

2009 ◽  
Vol 41 (1) ◽  
pp. 107-123 ◽  
Author(s):  
Margarita Velandia ◽  
Roderick M. Rejesus ◽  
Thomas O. Knight ◽  
Bruce J. Sherrick
Keyword(s):  
Risk Management ◽  
Crop Insurance ◽  
Probit Analysis ◽  
Farm Income ◽  
Multinomial Probit ◽  
Agricultural Risk ◽  
Management Tools ◽  
Factors Affecting ◽  
Adoption Decisions ◽  
Forward Contracting

Factors affecting the adoption of crop insurance, forward contracting, and spreading sales are analyzed using multivariate and multinomial probit approaches that account for simultaneous adoption and/or correlation among the three risk management adoption decisions. Our empirical results suggest that the decision to adopt crop insurance, forward contracting, and/or spreading sales are correlated. Richer insights can be drawn from our multivariate and multinomial probit analysis than from separate, single-equation probit estimation that assumes independence of adoption decisions. Some factors significantly affecting the adoption of the risk management tools analyzed are proportion of owned acres, off-farm income, education, age, and level of business risks.

scholarly journals Factors Affecting the Promotion of Conservation Tillage in Black Soil—The Case of Northeast China

2021 ◽  
Vol 13 (17) ◽  
pp. 9563
Author(s):  
Yan Qu ◽  
Chulin Pan ◽  
Hongpeng Guo
Keyword(s):  
Influencing Factors ◽  
Soil Conservation ◽  
Northeast China ◽  
Conservation Tillage ◽  
New Technology ◽  
Influencing Factor ◽  
Economic Factor ◽  
Black Soil ◽  
Agricultural Machinery ◽  
Factors Affecting

Taking the conservation tillage influences of black soil in Northeast China as the research object, the paper is written according to the advice of relevant experts and technicians in Northeast China, the study also calculates the weight of each influencing factor through the Delphi and Analytic Hierarchy Process (AHP) method. Then, the significance of the factors affecting the benefit of conservation tillage is analyzed. The results show that, based on the comprehensive analysis, it is concluded that the economic factor is the primary factor affecting the benefit of black soil conservation tillage in Northeast China. Among the twelve influencing factors, eight of them have a significant impact on the development of conservation tillage benefits on black soil in Northeast China. Such as the degree of government subsidy; the adaptability of agricultural machinery; the input of new technology; relevant policies, laws and regulations; the quality of conservation tillage; the income of agricultural machinery farmers; practical application capacity; government publicity. Therefore, in the process of implementing the black soil conservation tillage, we should focus on these influencing factors, which will effectively promote the sustainable development of agriculture in Northeast China.

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