Resource productivity in ornamental plants production in jos metropolis, nigeria | Blazingprojects Postgraduate Thesis
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Resource productivity in ornamental plants production in jos metropolis, nigeria

 

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Thesis Abstract

Abstract
The ornamental plants production industry plays a significant role in the economic development of Jos Metropolis, Nigeria. This study aims to assess resource productivity in ornamental plants production in Jos Metropolis to enhance sustainability and profitability in the industry. A mixed-methods approach will be employed, including interviews, surveys, and on-site observations to collect data on resource inputs and outputs in ornamental plants production. The study will focus on key resources such as water, fertilizers, pesticides, and labor, analyzing their usage, efficiency, and impact on plant yield and quality. The findings will provide valuable insights into current resource management practices in ornamental plants production in Jos Metropolis and identify areas for improvement. By understanding resource productivity levels, producers can optimize resource allocation, reduce waste, and enhance overall productivity and profitability in the industry. The study will also explore the potential for sustainable practices such as water recycling, organic fertilizers, and integrated pest management to improve resource efficiency and environmental sustainability in ornamental plants production. Ultimately, the research aims to contribute to the development of strategies and policies that promote sustainable resource management practices in the ornamental plants production industry in Jos Metropolis, Nigeria.

Thesis Overview

<p> </p><p>This study was undertaken to analyze resource productivity in<br>ornamental plants production within Jos metropolis of Nigeria. The<br>study covered Jos North and Jos South local government areas. The<br>specific objectives include: identifying the effect of socio-economic<br>factors on resource productivity, determining costs and returns, and<br>resource productivity in ornamental plants production.<br>An extensive literature review was carried out to provide an indepth<br>knowledge of the study. The cluster sampling procedure was<br>used because the nurseries are located in clusters. Data was collected<br>from the nursery owners. Six respondents from each cluster and five<br>clusters from each local government area were selected using the<br>simple random sampling method at each sampling stage. Each of the<br>two local government areas was administered the 30 questionnaires<br>making a total of 60 respondents.</p><p>Results revealed that 60% of respondents were aged between 41<br>– 50, while 80% had some years of tertiary education. Also 60% of the<br>respondents’ nurseries were less than a quarter of an acre. About 40%<br>had horticulture as their primary occupation, while 40% and 20% had<br>business and civil service respectively as their primary occupation.<br>The ornamental plants producers made a net farm income of<br>N351,196 per annum and a naira invested gave returns of N1.10.<br>The regression analysis gave positive coefficients for labour,<br>cuttings, pesticides, water, top soil and polythenes which were<br>significant (P&lt;0.05). However, manure, fuel transportation and annual<br>rent had negative coefficient. Also the regression coefficient of socio<br>economic variables such as education, age, nursery size were positive<br>and significant. Household size had a positive coefficient but was<br>insignificant (P&lt;0.05). Ornamental production experience had a<br>negative coefficient and was insignificant</p><p>Results revealed that 60% of respondents were aged between 41<br>– 50, while 80% had some years of tertiary education. Also 60% of the<br>respondents’ nurseries were less than a quarter of an acre. About 40%<br>had horticulture as their primary occupation, while 40% and 20% had<br>business and civil service respectively as their primary occupation.<br>The ornamental plants producers made a net farm income of<br>N351,196 per annum and a naira invested gave returns of N1.10.<br>The regression analysis gave positive coefficients for labour,<br>cuttings, pesticides, water, top soil and polythenes which were<br>significant (P&lt;0.05). However, manure, fuel transportation and annual<br>rent had negative coefficient. Also the regression coefficient of socio<br>economic variables such as education, age, nursery size were positive<br>and significant. Household size had a positive coefficient but was<br>insignificant (P&lt;0.05). Ornamental production experience had a<br>negative coefficient and was insignificant</p> <br><p></p>

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