Showing posts with label farms. Show all posts
Showing posts with label farms. Show all posts

Thursday, 28 August 2025

Analysis of Socioeconomic Characteristics Influencing the Use of Family and Hired Labour in Small-Scale Maize/Cowpea Farms in Mubi North Local Government, Adamawa State, Nigeria | Chapter 3 | Current Research Progress in Agricultural Sciences Vol. 2

 

This study provides a comparative analysis of the socioeconomic factors influencing the use of family and hired labor on small-scale maize-cowpea farms in Mubi North Local Government, Adamawa State, Nigeria with a focus on enhancing sustainable agriculture. The data used for the study were collected from 160 respondents in Mubi North Government Area with the aid of a structured questionnaire using stratified random sampling techniques. Utilizing four functional forms of regression models—linear, semi-logarithm, double logarithm, and log inverse—the research identifies key determinants impacting labor use. For family labor, significant positive influences include household size (p<0.05), total farm output (p<0.05), and farmers' experience (p<0.01), collectively explaining 73.93% of the variation. In contrast, hired labor is significantly influenced by the distance of the farm from the residence (p<0.001) and total farm output (p<0.01), while the household size and farm size exhibit significant negative influences (p<0.001), accounting for 93.48% of the variation. The correlation analysis reveals that larger households and greater farm sizes positively correlate with increased productivity through both labor types, though mechanisms differ. The findings suggest that family labor is maximized in larger households with experienced farmers and higher farm outputs, whereas hired labor is necessitated by farm distance and increased outputs, with larger households and farm sizes reducing reliance on it. The study concludes that both family and hired labor are crucially shaped by socioeconomic variables, and the policy implications are significant. Policies should support large households in farming, improve farmer training, develop rural infrastructure to reduce the need for hired labor, regulate labor markets, and provide subsidies and technological support to enhance farm productivity. These measures can collectively boost the efficiency and sustainability of small-scale maize-cowpea farming in Mubi North, fostering economic well-being in the region's farming communities.

 

Author(s) Details

Gwandi O.
Department of Agricultural Technology, Federal Polytechnic Mubi, Adamawa State, Nigeria and Department of Agricultural Economics, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, India.

V. Kamalvanshi

Department of Agricultural Economics, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, India.

Jummai Mamman

Department of Agricultural Technology, Federal Polytechnic Mubi, Adamawa State, Nigeria.

 

Please see the book here:- https://doi.org/10.9734/bpi/crpas/v2/1201

Wednesday, 28 June 2023

Farm Women’s Awareness, Knowledge and Adaptation to Climate Change in Northern Transitional Zone of Karnataka, India | Chapter 5 | Novel Perspectives of Geography, Environment and Earth Sciences Vol. 8

 This phase aimed to discover farmwomen awareness about temperature change, their knowledge about the signs of climate change and familiarization measure to minimize the negative impact of farming productivity. Climate change is the substantial threat to farming in countries about the globe in addition to in India. The impact of climate change is clear on the Indian monsoon, that has become more unpredictable and violent over the last few age. Crop  failures and raised infestation of contagions and insects have enhance rampant.Farmers in India are not completely aware of surroundings change and its  signs, causes, and impacts. This study was conducted all along 2018-19 under All India Co-ordinated Research Project on Home Science in Sulla village of Dharwad section of Karnataka state, India. Simple random sampling method was used to select 100 farm women in the center. A pre tested interview schedule was used to accumulate the data. The study told that all of the respondents were not knowledgeable about the increase in melting of snow, cold wave and frequent flood. The study tells that 36 % of the farm women belonged to depressed category of knowledge on indicators on environment change. It was also seen that all of the women were not knowledgeable about changes in farming whole in present climate condition. Energy and farming have always had a powerful relationship. Therefore, growing agricultural gain's energy effectiveness is a useful approach for lowering result costs and emissions. Results signify that women were ignorant of the causes of climate change, containing growing urbanisation, the use of pesticides, unaffected disasters, the blazing of fossil fuels and farm waste, the habit of electrical machines, and global preparing. Additionally, all of the ladies achieved intercropping, crop rotation, and a shift in the establishiing calendar.

Author(s) Details:

Geeta P. Channal,
AICRP -WIA (Extension), University of Agricultural Sciences, Dharwad, Karnataka, India.

Rekha Rayangoudar,
AICRP -WIA (Extension), University of Agricultural Sciences, Dharwad, Karnataka, India.

Supriya P. Patil,
AICRP -WIA (Extension), University of Agricultural Sciences, Dharwad, Karnataka, India.

Please see the link here: https://stm.bookpi.org/NPGEES-V8/article/view/11013