Results 11 to 20 of about 822,914 (224)

Motivations for women’s participation in urban agriculture: a multivariate probit model analysis

International Journal of Agricultural Sustainability
Urban agriculture (UA) empowers women by providing economic opportunities, control over food, social connections, new skills, and improved health. Despite its importance, Ethiopian women's participation in UA remains low.
Tayech Lemma, Mala Sharma
doaj   +2 more sources

Determinants of the competitiveness of smallholder African indigenous vegetable farmers in high-value agro-food chains in Kenya: A multivariate probit regression analysis [PDF]

Agricultural and Food Economics, 2019
Smallholder farmers are excluded from efficient and effective participation in high-value agro-food market chains due to major competitiveness constraints and several market failures along these chains.
Evans Ngenoh, Barnabas K. Kurgat, Hillary K. Bett, Sindu W. Kebede, Wolfgang Bokelmann   +4 more
openalex   +2 more sources

Determinants of market outlet choices by smallholder teff farmers in Dera district, South Gondar Zone, Amhara National Regional State, Ethiopia: a multivariate probit approach

Journal of Economic Structures, 2019
In Ethiopia, teff is an important cereal crop, particularly in Dera district. It is a source of food and provides cash income for majority of smallholder farmers.
Tadie Mirie Abate, Taye Melese Mekie, Abebe Birara Dessie   +2 more
doaj   +2 more sources

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

The Scientist, 2019
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
Arun GC, Yeo
openalex   +2 more sources

Fast Multivariate Probit Estimation via a Two-Stage Composite Likelihood [PDF]

Statistics in Biosciences, 2022
The multivariate probit is popular for modeling correlated binary data, with an attractive balance of flexibility and simplicity. However, considerable challenges remain in computation and in devising a clear statistical framework.
Bryan W. Ting, Fred A. Wright, Yi‐Hui Zhou   +2 more
openalex   +3 more sources

Mixed cumulative probit: a multivariate generalization of transition analysis that accommodates variation in the shape, spread and structure of data

Royal Society Open Science, 2023
Biological data are frequently nonlinear, heteroscedastic and conditionally dependent, and often researchers deal with missing data. To account for characteristics common in biological data in one algorithm, we developed the mixed cumulative probit (MCP),
Kyra E. Stull, Elaine Y. Chu, Louise Corron, Michael Holton Price   +3 more
openalex   +2 more sources

Rural Households’ Behaviour towards Modern Energy Technology Adoption Choices in East Gojjam Zone of Ethiopia: A Multivariate Probit Regression Analysis

Cogent Engineering, 2023
Fasika Chekol, Mengistie Giera, Bizuayehu Alemu, Molla Dessie, Yirsie Alemayehu, Yeshiwas Ewuinetu   +5 more
openalex   +2 more sources

Determinants of honey producer market outlet choice in Chena District, southern Ethiopia: a multivariate probit regression analysis

Agricultural and Food Economics, 2017
Marketing outlets choice is one of the most important farm household decisions to sell their produce and has a great impact on household income. Though the study area has great potential of honey production, the farmers in the study area faced the ...
Kassa Tarekegn, Jema Haji, Bosena Tegegne   +2 more
doaj   +2 more sources

CLIMATE CHANGE ADOPTION STRATEGIES BY ARABLE CROP FARMERS IN ETHIOPE EAST LOCAL GOVERNMENT AREA OF DELTA STATE, NIGERIA: A MULTIVARIATE PROBIT APPROACH

Tropical and Subtropical Agroecosystems, 2022
Background: The seasonality of most agricultural activities and restricted utilization of inputs in Africa, make it particularly helpless against weather or climate related difficulties across the different phases of the production cycle. Objective: This
Ikpoza Eguono Aramide, N.C. Nwachukwu, O.A. Ohwo   +2 more
doaj   +3 more sources

Determinants of land management technology adoptions by rural households in the Goyrie watershed of southern Ethiopia: Multivariate probit modeling estimation [PDF]

Heliyon
Dessalegne Chanie Haile, Yechale Kebede Bizuneh, Mulugeta Debele Bedhane, Abren Gelaw Mekonnen   +3 more
europepmc   +2 more sources