Factors Influencing Farmers’ Decisions in Farm Machineries Usage: The Case of Vegetable Farmers in Quezon Province, Philippines

2020 ◽  
Vol 7 (2) ◽  
pp. 59-82
Author(s):  
Fritz Jerald V. Principe ◽  
Jeanette Angeline B. Madamba ◽  
James Roldan S. Reyes ◽  
Loida E. Mojica ◽  
Mar B. Cruz
HortScience ◽  
2018 ◽  
Vol 53 (4) ◽  
pp. 504-510 ◽  
Author(s):  
Ariana P. Torres ◽  
Maria I. Marshall

Little is known about the drivers of organic decertification and it is unclear what production practices farmers adopt after decertification. This article investigated how farm demographics and characteristics, sources of information, and perceptions influence a farmer’s decision to decertify. The data for this article were from a 2012 web-based survey of fruit and vegetable farmers that were part of the Food Industry MarketMaker database. We used a robust probit regression to identify the drivers of organic decertification of fruit and vegetable farmers in the U.S. Demographics; farm’s characteristics, sources of information, and farmer’s perceptions were key factors influencing the decision to decertify. Finding useful information from price reporting services and certifiers decreased the probability to decertify. On the other hand, farmers located in the Midwest, those selling vegetables, and those perceiving the organic certification process as a barrier were more likely to decertify.


2021 ◽  
pp. 415-430
Author(s):  
R. P. Dayani Gunathilaka ◽  
P. S. M. Kalani J. Samarakoon

AbstractIn Sri Lanka, the agriculture sector is most vulnerable to climate change and this is increasingly affecting food security. Vegetables, legumes, coarse grains, and potatoes are likely to be adversely affected due to climate impacts. Based on a cross-sectional survey conducted on 150 vegetable farmers in the up-country area of Sri Lanka, this study elucidates farmers’ perceptions of climate change, ongoing adaptation methods, factors influencing farmers’ decisions to adapt, and barriers to adaptation. The study finds that gender, educationlevel, farming experience, income, willingness to take credit, extension on crop, climate change information, farmer-to-farmer extension, rainfall and temperature as the significant factors influencing adaptation. Furthermore, early or late planting, crop or variety switching, and intensive use of inputs are the commonly used adaptation options. Information constraints emerge as a major barrier followed by high costs for adaptation and lack of vigorous planting materials. The study suggests educating farmers about potential adaptation options is pivotal.


2014 ◽  
Vol 19 (4) ◽  
pp. 337-345 ◽  
Author(s):  
Anamai Thetkathuek ◽  
Nhean Suybros ◽  
William Daniell ◽  
Parvena Meepradit ◽  
Wanlop Jaidee

2021 ◽  
Author(s):  
T. A. B. Tengku Halimatun Saadiah ◽  
M. Maizatul Vanisha ◽  
M. N. Maryana ◽  
L. Naher ◽  
R. Fazidah

2021 ◽  
Vol 11 (05) ◽  
pp. 392-415
Author(s):  
Hadoufeyi Essowè Julien ◽  
Ayenagbo Kossi ◽  
Egbendewe Y. Gregoire Aklésso

Author(s):  
Egwuonwu, Helen Adeola

The study analyzed factors influencing post harvest losses among vegetables farmers in Mbaitoli Local Government Area in Imo state, Nigeria. Specifically the study ascertained the kind of vegetables produced; determined the quantity of output production of vegetables; determined the causes of post harvest losses among vegetable farmers; examined the factors affecting post harvest losses of vegetable; ascertained the effect of post harvest losses among vegetable farmers and identify possible strategies that can reduce losses among vegetable farmers. Multi-stage random sampling procedure was used in the selection of ninety eight (98) respondents and a set of structured questionnaire was administered on them to obtain information. Data collected were analyzed using descriptive (frequency, percentages and chart) and inferential (multiple regression) statistics. Result showed that majority (51%) of the farmers cultivated leafy vegetables and the average quantity of vegetable produced was 142.35 kg. Farmers identified major causes of post harvest losses as pest (94.9%), disease (81.6%), lack of storage facility (80.6%) and poor handling of vegetable (71.4%). The major factors affecting post harvest losses were improper handling (87.8%), lack of credit facility (86.7%) and the possible strategies to reduce post harvest were use of improved processing and preservation method (91.8%), access to appropriate technology (88.8%), adequate post harvest handling (87.8%). The study recommends that, the extension agents through the aids of federal government, should train rural, urban and sub- urban farmers on post harvest, processing and marketing technology.


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