Dissertations / Theses: 'Agricultural factors and GDP'

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Arala, Ibrahim Olusegun. "THE IMPACT OF AGRICULTURAL LOANS ON AGRICULTURAL GDP IN NIGERIA." OpenSIUC, 2020. https://opensiuc.lib.siu.edu/theses/2676.

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Previous studies have shown a significant and positive relationship between agricultural output and long run economic development. Nigeria, with current extreme poverty rate of 48% is also characterized with high level of food insecurity. The country however, has about 99 million ha of arable land which supports numerous farming activities. Therefore, there exist an opportunity to increase agricultural output and achieve economic development. Further studies also showed that the percentage of agricultural loans to total loans in Nigeria have been declining over the last 15 years which suggests some form of neglect of the sector. This paper therefore examined the impact of agricultural loans and other relevant variables on agricultural GDP in Nigeria with a view to estimate a regression model that can explain variability in agricultural GDP. All the data used were secondary data collected from the annual statistical bulletin of the Central Bank of Nigeria (2018) and USDA, Economic Research Service (Nov. 2019). Ordinary Least Square regression model was used to estimate regression parameters and to show relationship between the variables. Analyzed results showed that agricultural GDP in Nigeria is statistically dependent on agricultural loan, government expenditure and available farm land. The result was statistically tested to be significant at >=95% level of confidence. Further results also showed that agricultural loan in Nigeria is statistically dependent on agricultural credit guarantee and Non-performing loan ratio. This was also tested to be significant at >=95% level of confidence.The study recommended that the results calls for more allocation of credit for agricultural purposes, more government spending to agriculture and more funding of the agricultural credit guarantee program by the government.

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Sundberg, Victor, and Claes Frid. "GDP dependence on health, environment, education and economic factors." Thesis, KTH, Matematik (Inst.), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-129201.

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The purpose of this paper is to investigate the influence that certain factors have on the gross national product (GDP) and to categorize in what way they contribute, by either having a positive or a negative influence, and how significant each of them are. Educational, environmental, economic and health factors are all investigated in this study. Using data provided by the World Bank, covariates are chosen from previous named areas and multiple linear regression analysis is used to produce a primary model. This model is then refined in to the final model. The covariates used in the final model are discussed to what extent and in what manner they contribute. The theory used in this paper will be explained briefly.

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Jondell, Assbring Malin. "What factors affect economic growth in China?" Thesis, Södertörns högskola, Institutionen för livsvetenskaper, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-16828.

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The objective of this thesis is to find out what factors have been the main sources of economic growth in China in 2003 and 2010. It also aims to find out whether the Solow model can be used to explain growth in China, if factors of growth are the same in rich and poor regions, whether the factors are the same in 2003 and 2010 and if the results are in line with previous research. The theoretical framework is the Solow model. Empirical tests are performed using econometrics, and therefore this thesis has a quantitative approach. Factors used are growth in GDP per capita which is tested against investments, household savings, the level of GDP per capita, population growth, healthcare and education. The results show that the Solow model can explain economic growth in China. Investments, the level of GDP per capita and population growth are the factors most significant to growth. In poor regions, both investments and population growth are more significant than in rich regions, whereas healthcare is more significant in rich regions. Investments and population growth also have a smaller impact in 2010 than 2003. Healthcare is more significant in 2010 and than 2003, and education is only significant in 2010. Previous research shows a wide range of results, and the results of investments and population growth are consistent with those.

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Andrews, Neill. "Driving factors for national competitiveness in Africa as measured by GDP per capita." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/43965.

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Competitiveness has been part of central, monetary policy making for over 500 years where regions have aimed to improve competitiveness and productivity by focussing on specific factors. The focus of the research was to identify which factors are most relevant for the African continent on determining competitiveness which will allow policy makers to understand how best to direct their investment with the greatest productivity return. The research methodology was quantitative in nature, based on secondary data from the Global Competitiveness Report over the past five years. The sample included 39 of the 54 African countries which are the countries on which the report collected data from. The unit of analysis was GDP per capita. A multivariate Generalised Linear Model with a log link function and Gamma error structure was built. The results showed that the order of importance for Africa was macroeconomic stability; infrastructure; technological readiness; and market size with the other factors not having a material influence. Building a similar model on all the countries have included two additional factors namely health and primary education as well as higher education and training. This indicates that certain structural factors are more important for countries in the developing phase such as Africa.
Dissertation (MBA)--University of Pretoria, 2014.
lmgibs2015
Gordon Institute of Business Science (GIBS)
MBA
Unrestricted

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Choi, Youn Su. "Risk Factors for Childhood Agricultural Injury." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269028264.

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Nazir, Maliha. "ESSAYS ON DOMESTIC FACTORS DRIVING ATTITUDES TOWARDS IMMIGRANTS AND EMIGRATION." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/dissertations/1468.

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This dissertation investigates various micro and macro level domestic factors affecting attitudes towards immigrants and emigration of international students. The first chapter examines if an individual’s religiosity affects his attitude against immigrants in jobs in rich and poor countries using data from World Values Survey, wave 6 for the period 2010-2014. The main finding of this study is that per capita income affects an individual’s attitudes against immigrants in getting hired but religiosity does not matter in affecting attitudes of people against immigrants in rich and poor countries. The second chapter explores Europeans opposition against Muslims, Jewish and Roma immigrants based on perceived economic, religious and security threats in strong and weak economies using European Social Survey for the period 2014-2015. The results suggest that the state of economy dominates a respondent’s perception of economic, religious or security threats against banning Muslims, Jews and Roma immigrants. The third chapter sheds lights whether corruption in countries promote students to study abroad using data on outbound students from UNESCO for the period 1999-2015. The results indicate that corruption promotes emigration of international students for only high income countries in the sample but this result does not hold for low and middle income countries.

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Olagunju, Emmanuel Gbenga. "Remote Sensing for Agricultural Land Use Changes and Sustainability Monitoring in Sudan." Thesis, Linköping University, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15279.

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The remote sensing technology is increasingly being used to study land use and vegetation cover changes and identify changes that has occur through different land use activities which may have negative impact on the sustainability of the environment, biodiversity protection and conservation. With increase in population growth rate in Sudan, there has been an increase for food crop production with agriculture playing a prominent role in livelihood security for the increasing population.

The increase use of irrigation and mechanisation has brought about an increase in demand for agricultural land use in Sudan with the conversion of other land use types and vegetation for agricultural land use. This does have effect and impact on the vegetation and environment with the country highly exposed to the incidence of environmental and social hazards and disasters including drought and desertification, deforestations, floods, loss of biodiversity, ethnic conflicts and poverty.

The research study work focused on agricultural land use changes in the country with the aim of investigating the agricultural land use changes that has occurred in the country from 1986 to 2002 using the remote sensing technique. This is important for agricultural land use planning and sustainability monitoring to reduce the negative impact of agricultural land use for crop production and increase long term resource use and environmental sustainability. Two remote sensing methods were used for the classification analysis to identify the land use changes namely the NDVI and the parallelepiped classification techniques. The NDVI method was used to identify the changes in the agricultural land use vegetation cover classes and determine the magnitude of changes in land area use that has occurred from 1986 to 2002 when the former and latter remote sensing images were acquired. The parallelepiped classification technique was however used to identify the aggregate agricultural land use changes in the area of study and conversion to and from other categories of land use. A qualitative analytic technique was also used to identify the possible causes of the changes that have occurred in Sudan in the study period using empirical materials.

The research study result gives information on the role the remote sensing technology can play in analyzing land use cover changes for agricultural land use sustainability monitoring.

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Tungate, Kimberly Denise. "Environmental factors influencing weed interference in agricultural systems." NCSU, 2004. http://www.lib.ncsu.edu/theses/available/etd-07072004-001526/.

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In all agricultural systems using few or no herbicides, cultural and mechanical techniques are crucial to economic viability. Further advances in non-chemical weed control will require in-depth knowledge of weed biology. The objective of new strategies likely will be to alter competitive interactions between crop and weed species. An important part of weed biology, and often the basis for competitiveness, is species response to the environment. Environmental conditions differ greatly in different parts of the world. In agricultural systems, the low nitrogen status of some soils requires most crops to be amended. Weed populations can experience a wide range of fertilization regimes from year to year due to different crop rotations. Fertilization patterns in a rotation can lead to differential growth and reproductive performance of weeds and competitiveness with crops. In research described in the first two chapters, we attempt to determine the extent that lowering parental nutrition would impact weed growth, reproduction, and offspring vigor. The purpose was to begin evaluating benefits of controlling nitrogen fertility in agronomic systems on low fertility soils. Another environmental factor that could influence weed competitiveness is temperature. The significance of temperature responses will become increasingly important in the future. Global climate change models are predicting increases in the earth?s average surface temperature between 1.4- 5.8 ºC during the 21st century. As temperatures increase it is conceivable that warmer temperatures will alter competitive balance between crop and weed species, intensifying weed pressures. The expression of temperature response also will be a function of other interacting factors such as the ability to acquire water and nutrients. Resource acquisition is controlled to a large extent by root growth and interactions with soil microorganisms. The third chapter of this thesis is focused on temperature responses of selected plant species from an agroecological system. The purpose was to begin assessment of possible climate change effects on weed competitiveness. All of our experiments made extensive use of the weed Senna obtusifolia due to its importance in crops in the Southeastern U.S.

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Pendell, Austin. "Factors impacting Kansas agricultural land values: 1986 - 2009." Thesis, Kansas State University, 2013. http://hdl.handle.net/2097/15792.

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Master of Science
Department of Agricultural Economics
Kevin Dhuyvetter
Land accounts for more than 75% of a farm operation’s total assets and thus knowledge of land values are very important to landowners. However, many other parties, including lenders, appraisers, investors, and researchers also have significant interest in land markets. Over the past few decades, land prices in Kansas have increased significantly for many different reasons. The main objective of this research is to estimate the impact of various factors on Kansas land values using a hedonic regression model. In cooperation with the Property Valuation Department (PVD) of the Kansas Department of Revenue, farmland market transactions from 1986 to 2009 were obtained for this study. Hedonic models were estimated using Ordinary Least Squares to determine the impact of interest rates, urban areas, location, parcel size, and income on nominal and real Kansas land values. The estimated nominal and real models explained 24.1% and 17.2% of the variation in land prices, respectively, and the results from this study are generally consistent with previous research. This research went further into investigating the relationship between PVD data and United States Department of Agriculture (USDA) surveyed data. Results from this study indicate that USDA surveys significantly underestimate the true market for land prices across Kansas.

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10

Lawver, Rebecca Grace Torres Robert M. "Factors influencing agricultural education students' choice to teach." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/6168.

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Title from PDF of title page (University of Missouri--Columbia, viewed on Feb 15, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Dissertation advisor: Dr. Robert M. Torres. Vita. Includes bibliographical references.

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Morgan, Alan Christian. "Teaching leadership in agricultural science behavioral factors that influence secondary agricultural science leadership instruction /." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0006619.

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Olagunju, Emmanuel Gbenga. "Water resources development: opportunities for increased agricultural production in Nigeria." Thesis, Linköping University, Department of Water and Environmental Studies, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10031.

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Agriculture has been the backbone of the economy in Nigeria providing employment and source of livelihood for the increasing population and accounting for over half of the GDP of the Nigeria economy at independence in 1960. However, the role it plays in the regional and economic development of the country has diminished over the years due to the dominant role of the crude oil sector in the economy. With the increasing food demand in Nigeria, the country has available input natural resources and potential for increasing the volume of crop production towards meeting the food and nutritional requirement of the rapidly increasing population and guarantee food security in the country. The study was undertaken to analyse the effect of different factors and policies on the changes in trend of crop production and investigate the possible effect of water resources development on increased volume of agricultural crop production in Nigeria.

The study revealed that there are opportunities for water resources development in the country through irrigation to supplement the water requirements and needs of farmers for agricultural production activities in many areas in the semi-arid and arid regions. Available data shows that there are available land and water resources that could be developed to support the production of food and agricultural development with opportunity for increased productivity.

However, while the water resources are unevenly distributed in the country, there is need for the efficient use and management of the available water resources and increasing the productive use especially in the northern region of the country where there is increasing incidence of drought and competing need for water among the different sectors of the economy. The study also made possible recommendations for policy formulation to address the current problems facing the agricultural sector in conjunction with the requirement for the development of the water resources.

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Wan, Hassan W. E. "Factors affecting dairy production in Malaysia." Thesis, University of Reading, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371851.

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JÃnior, JosÃ Nilo de Oliveira. "Ensaios economÃtricos sobre a dinÃmica o Pib agrÃcola." Universidade Federal do CearÃ, 2007. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=1295.

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Universidade Federal do CearÃ
A tese intitulada "Ensaios Econometricos sobre a dinÃmica do Pib AgrÃcola" Ã composta de trÃs artigos. O primeiro artifo Ã intitulado "Setor AgrÃcola Brasileiro: Uma anÃlise de ConvergÃncia Microregional" analise o processo de convergÃncia microregional agrÃcola utilizando o Modelo Threshold no perÃodo de 1970 a 1996. Os resultados mostraram a existÃncia de cinco clubes de convergÃncia; um com um grupo de microregiÃes mais ricas, um com um grupo de microregiÃes mais pobres e trÃs grupos intermediÃrios. Os resultados tambÃm mostraram que o capital fÃsico Ã mais importante que o capital humano na explicaÃÃo do processo de crescimento. O segundo artigo intitulado: "O Setor AgrÃcola Brasileiro: Uma aplicaÃÃo do Modelo de TendÃncias e Ciclos Comuns no perÃodo de 1990 a 2005", analisa o comportamento das variaveis produto agrÃcola, taxa de cÃmbio real e saldo da balanÃa comercial agrÃcola brasileira. Utilizou-se a tÃcnica de cointegraÃÃo para identificar um sistema de vetores auto-regressivos com tendÃncias estocÃsticas comuns e para investigar as respostas do sistema a choques transitÃrios e permanentes. Os testes comprovaram a existÃncia de uma tendÃncia estocÃstica comum e dois ciclos comuns entre as variÃveis. As decomposiÃÃes das variÃncias indicam que os choques transitÃrios explicam a maior parte das flutuaÃÃes de curto e longo prazo no produto agrÃcola. Constatou-se tambÃm que os choques permanentes sÃo mais importantes para explicar as variÃncias da taxa de cÃmbio e da balanÃa comercial agrÃcola, principalmente no longo prazo. O terceiro artigo intitulado: "PrevisÃo da Taxa de Crescimento do Produto AgrÃcola Brasileiro: Uma aplicaÃÃo de Modelos de Ãndice de DifusÃo Linear e NÃo Linear" aplica os modelos linear e nÃo linear de Ãndice de difusÃo com efeito threshold para prever, um perÃodo Ã frente, a taxa de crescimento trimestral do Pib agrÃcola brasileiro. Estes modelos sÃo compostos por fatores que sÃo observÃveis e representam uma caracterÃstica comum das variÃveis explicativas, permitindo uma reduÃÃo significativa do nÃmero destas variÃveis. Em seguida Ã feita a comparaÃÃo das previsÃes destes modelos entre si e em relaÃÃo ao modelo AR que Ã tomado como benchmark. Verifica-se que o modelo de Ãndice de difusÃo linear apresentou uma pequena superioridade, em termos de eficiÃncia preditiva, em relaÃÃo aos modelos nÃo linear e AR, que apresentaram resultados semelhantes.
The thesis entitled "Econometrical assays on the dynamics of the agricultural Gdp" is composed of three papers. The first article is entitled "Brazilian Agricultural Sector: An Analysis of Microregional Convergence" analyzes the process of agricultural micro regional convergence using the Threshold Model in the period 1970 to 1996. The results show the existence of five clubs of convergence: one with a group of richer micro regions; one with a group of poor micro regions and three intermediates groups. The results also show that physical capital is more important than human capital in the explanation of the growth process. The second paper with title "The Brazilian Agricultural Sector: A Application of the Model of Common Cycles in the period os 1990 the 2005" analyzes the behavior of Agricultural Gdp, real exchange rate and the current account balance agricultural in Brazil during the period of 1990 to 2005. Cointegration techniques were used to identify a VAR system with common stochastic trends, and to investigate the system responses to transitories and permanent shocks. The tests had proven the existence of a common trend and two cycles between the variables. Variance decompositions indicates that transiotories shocks accont form most of the short and long run fluctuations in agricultural Gdp. It was found that permanent shocks explain most of the variance of the exchance rate and of the current account balance mainly in the long run. The third paper entitled "Forecast of the Rate of Growth of the Brazilian Agricultural Gdp: An Application of Models of Diffusion Index Linear and Non-Linear". This article applies the linear and non-linear diffusion index model with a threshold effect to forecast, one step ahead, the qyarterly growt rate of Brazilian Agricultural Gdp. These models are composed by common factor which allow a significant reduction in the number of the original explaining variables. After comparing forecast of these two models between themselves and to an AR model, used as benchmark, one comes to the conclusion that the linear model presents a small superiority, in terms of predictive efficiency, in relation to the nonlinear and AR models.

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Weiler, Lazarz Annalisa M. "Factors limiting native species establishment on former agricultural lands." Master's thesis, University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5564.

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Restoration of abandoned, nonnative species-dominated agricultural lands provides opportunities for conserving declining shrubland and grassland ecosystems. Land-use legacies, such as elevated soil fertility and pH from agricultural amendments, often persist for years and can favor nonnative species at the expense of native species. Understanding the factors that limit native species establishment on abandoned agricultural lands can provide important insights for restoration and conservation of native species on human-modified lands. I conducted two field experiments on abandoned agricultural lands: a former pasture on Martha’s Vineyard, MA and a former citrus grove at Merritt Island National Wildlife Refuge (MINWR) in Titusville, FL. In these experiments I tested how soil chemical properties affect native and nonnative species abundance and how different methods of removing nonnative, invasive species affect native and nonnative species abundance. In the first experiment, specifically I tested how restoration treatments affect competition between existing nonnative agricultural plant species and native plant species that are targets for sandplain grassland restoration on Martha’s Vineyard, MA. At MINWR, I examined how lowering soil fertility with carbon additions and lowering soil pH by applying sulfur affects nonnative species richness and cover (in two former citrus groves that were historically scrub/ scrubby flatwoods. Overall, I found that biotic factors, such as competition with nonnative species, play a stronger role in limiting native species establishment than soil chemical properties. Likewise, control of nonnative, invasive species is most effective with mechanical treatments to physically reduce cover, rather than altering soil chemical properties.
ID: 031001305; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Adviser: B. Von Holle.; Title from PDF title page (viewed March 18, 2013).; Thesis (M.S.)--University of Central Florida, 2012.; Includes bibliographical references (p. 85-98).
M.S.
Masters
Biology
Sciences
Biology

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Palmer, Judith Marian Penfold. "Factors affecting the information behaviour of agricultural research scientists." Thesis, University of Sheffield, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392754.

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Myers, Kendall Page. "Zoonotic influenza and occupational risk factors in agricultural workers." Diss., University of Iowa, 2007. http://ir.uiowa.edu/etd/221.

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Scott, Willie Henry Jr. "Factors affecting whole grain consumption : primary focus health factors." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/958.

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Ledermann, Samuel Thomas. "Agriculture, GDP and inequality in sub-Saharan Africa cross-country analysis of the impact of agricultural production and exports on income inequality /." [Gainesville, Fla.] : University of Florida, 2007. http://purl.fcla.edu/fcla/etd/UFE0021138.

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Hall, Lee Ann. "Factors that influence an individual's decision to teach agricultural education." Morgantown, W. Va. : [West Virginia University Libraries], 2007. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5320.

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Thesis (M.S.)--West Virginia University, 2007.
Title from document title page. Document formatted into pages; contains xiv, 164 p. : col. ill. Includes abstract. Includes bibliographical references (p. 128-130).

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Boakye-Dankwah, James. "Factors related to research productivity of agricultural educators in institutions of higher learning offering programs of agricultural education /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487777901658593.

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Clark, Richard Warner. "Burnout and associated factors among extension administrators/mid-managers of the north central region /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487261553059673.

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Elver, Harry 1961. "Factors affecting seedling mortality in Haitian agroforestry." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/278449.

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The purpose of this study was to assess the correlation between (1) selected seedling conditions and (2) the participating farmers' knowledge of planting techniques and the seedling mortality of trees supplied by the Pan American Development Foundation's Agroforestry Outreach Project in Haiti. During the spring of 1990 planting season, 18 sample farmers and the trees they received were studied to determine the correlation of several seedling conditions with seedling mortality. Rootball condition, leaf drop, plant turgor, and internal box temperature were measured during seedling transportation from nursery to the field. The farmers' knowledge of planting techniques was determined by a test over a planting guide. The most significant findings were that the seedling mortality was not strongly correlated to either the individual conditions measured or the farmers' knowledge of planting techniques. Collectively, these seedling conditions accounted for approximately 25 percent of the total variation in the seedling mortality.

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Kim, Man-Keun. "Economic investigation of discount factors for agricultural greenhouse gas emission offsets." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/2187.

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This dissertation analyzes the basis for and magnitudes of discount factors based on the characteristics of greenhouse gas emission (GHGE) offsets that are applied to the GHGE reduction projects, concentrating on agricultural projects. Theoretical approaches to discount factors, estimation and incorporation of discount factors procedures are developed. Discount factors would be imposed by credit purchasers due to noncompliance with regulatory program of the credits with GHG program including consideration of shortfall penalties and limited durations. Discount factors are proposed for (i) additionality, (ii) leakage, (iii) permanence, and (iv) uncertainty. Additionality arise when the region where an AO project is being proposed would have substantial adoption of the AO practice in the absence of GHG programs (business as usual GHGE offset). Leakage arises when the effect of a program is offset by an induced increase in economic activity and accompanying emissions elsewhere. The leakage effect depends on demand and supply elasticities. Permanence reflects the saturation and volatility characteristics of carbon sequestration. Carbon is stored in a volatile form and can be released quickly to the atmosphere when an AO practice is discontinued. The permanence discount depends on the project design including practice continuation after the program and the dynamic rate of offset. Also, consideration of multiple offsets is important. Uncertainty arises due to the stochastic nature of project quantity. The uncertainty discount tends to be smaller the larger the size of the offset contract due to aggregation over space and time. The magnitude of these discounts is investigated in Southeast Texas rice discontinuation study. The additionality and the leakage discounts are found to play an important role in case of rice lands conversion to other crops but less so for pasture conversions and yet less for forest conversions. The permanence discount is important when converting to other crops and short rotation forestry. When all discounts are considered, rice lands conversion to forest yields claimable credits amounting to 52.8% ~ 77.5% of the total offset. When converting rice lands to pasture, the claimable credits 45.1% ~ 64.2%, while a conversion of rice lands to other crops yields claimable credits 38.9% ~ 40.4%.

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Miller, Ashley D. "Factors affecting agricultural landowners' preferences for conservation easements and conserving amenities." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1445044261&sid=3&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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Malekana, Marumo Moses. "Factors influencing the choice of agricultural science as a school subject." Diss., University of Pretoria, 1999. http://hdl.handle.net/2263/30399.

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Agriculture plays an important role as the basis of economic development of many countries. One of the ingredients for accelerating agricultural development is the provision of adequate knowledge through education. Schools where agricultural science is taught play an important role, but the problem that gave rise to this study is the lacking interest and poor performance in agricultural science. The main aim of this study was to investigate factors that may influence the choice of agricultural science as a school subject. In order to attain this aim, six high schools in the Temba District were sampled to represent urban, semi-urban and rural schools. All agricultural science pupils and, for purposes of comparison, forty five pupils doing physical science and twenty seven from home economics were interviewed. The overall image of agriculture appeared quite positive in that 62 percent of the students rated it as high or very high, and only the medical practitioner received a higher average status rating than the agricultural professional. The findings indicated that non-agriculture students had the most intensive association with a farming background, which seems to indicate that a close association with agriculture is a deterrent rather than an incentive to choose agriculture as a school subject. Exposure to agricultural science as a school subject appeared to increase the interest in the study of agriculture at tertiary level, although the possibility that the interest in tertiary studies in agriculture stimulated the choice of agriculture science as a school subject, cannot be ruled out. Amongst agricultural science pupils there is general agreement that agriculture provides good access to tertiary education, although physical science was rated much higher. The assessment of teachers does not favour agricultural science. Agricultural science teachers were assessed significantly lower as far as personality, teaching quality, accessibility and knowledge is concerned. However, the less the influence and assessment of the teacher, the bigger the influence of parents appeared to be. Somewhat alarming is the finding that about 20 percent of respondents claimed to have been forced to study agricultural science at school. Those that received counselling did not have a better image of agriculture, which seems to indicate that agriculture is not a field of study recommended by teachers during counselling.
Dissertation (M Inst Agrar (Extension))--University of Pretoria, 1999.
Agricultural Economics, Extension and Rural Development
unrestricted

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Graham, Levar Desmond. "Factors that influcence African Americans to enroll in agricultural science programs." Master's thesis, Mississippi State : Mississippi State University, 2007. http://library.msstate.edu/etd/show.asp?etd=etd-11092007-163003.

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Hanyane, Veronica L. "Factors affecting the persistence of agricultural income generating groups in Lesotho /." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09AFM/09afmh252.pdf.

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Gratz, Steven J. "Factors influencing supervised agricultural experience earnings of Ohio FFA state degree recipients as reported on the Ohio FFA state degree application." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1080302672.

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Mohaiemen, Naeem. "Factors effecting Bangladesh jute prices." Oberlin College Honors Theses / OhioLINK, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1342798099.

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Hossain, Md Jobaer. "“Factors Influencing FDI Inflows in SouthAsian Countries: A Panel Data Analysis”." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263960.

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Foreign direct investment (FDI) is played a vital role for boosting up the economies of developing countries. Hence, it is necessary to know the factors that determines the flows of FDI in the developing countries. This study has attempted to investigate how different factors affect the inflow of foreign direct investment in South Asian Countries. To attain the objective this study has collected data on the respective variables for 45 years and considered seven countries. The relationship between different economic variables and their overall impact on FDI inflows have been examined through various panel models like basic pooled OLS estimation, entity fixed effect model, time fixed effect estimation and random effect model. The outcome of this study is that GDP of the country is the main factor behind the FDI inflows in South Asian countries.

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32

Goff, Samuel Neal. "The factors in completion, non-completion, and non-participation in farmer field schools in Trinidad and Tobago." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2629.

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Adrian, Anne Mims Rainer R. Kelly. "Factors influencing adoption and use of precision agriculture." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Summer/Dissertations/ADRIAN_ANNE_27.pdf.

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Song, Inhong. "Subsurface drip irrigation with wastewater and the effects of environmental factors on virus survival in soil." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280752.

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Wastewater reuse for agricultural purposes has been considered as an alternative strategy for water conservation. This study compared subsurface drip irrigation with furrow irrigation in terms of water use efficiency and crop contamination when microbial-contaminated water was used for irrigation. The effects of temperature and moisture on virus survival in soil were assessed quantitatively. Escherichia coli ATCC 25922, Clostridium perfringens, and coliphage PRD-1 served as the study microorganisms. Subsurface drip irrigation used water more efficiently than furrow irrigation due to lower water requirement for similar crop yields. Subsurface drip irrigation performed better for the deep-rooted crops, cantaloupe and bell pepper, compared to the shallow-rooted crop, lettuce. The more water was held by soil and was available for the crop uptake with the deeper root crops than shallow root crops. Overall, significantly greater microbial contamination of produce and soil surface occurred in furrow irrigated plots as compared to subsurface drip irrigated plots. Direct movement of irrigated water to the soil surface appeared to cause crop contamination in subsurface drip irrigation plots. Coliphage PRD-1 demonstrated greater crop contamination and longer survival in the environment compared to E. coli. The smaller size of PRD-1 than that of E. coli seemed to facilitate its movement through soil matrices and increased the chance to contaminate crop produce. The inactivation rate of PRD-1 increased as temperature increased. A soil moisture decrease from 20.9 to 8.9% appeared to be inversely related to the inactivation rate. Further decrease of the soil moisture content to 5.1% increased the inactivation rate. An optimum or a threshold soil moisture level for PRD-1 survival may exist. Evaporation increased the inactivation rate of PRD-1 substantially in higher temperatures but minimally in lower temperatures. A developed model predicted the inactivation rates of PRD-1 in field conditions with an average error of 11.0%. Subsurface drip irrigation with a proper management can be a sustainable strategy to conserve irrigation water as well as to reduce crop contamination when wastewater is used for crop production. PRD-1 survived better at low temperatures and dry soil moisture conditions.

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Straquadine, Gary Samuel. "Vocational agriculture program quality and factors related to program quality /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487335992903534.

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Mazid, Ahmed M. Mounir. "Factors influencing adoption of new agricultural technology in dry areas of Syria." Thesis, University of Nottingham, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260518.

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Youngquist, Melissa Betty. "How Local and Landscape Factors Affect Anuran Species Distributions in Agricultural Landscapes." Miami University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=miami1437667835.

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Koeninger, Nicole K. "Determining Soil Erosion with Varying Corn Stover Cover Factors." UKnowledge, 2015. http://uknowledge.uky.edu/bae_etds/27.

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Since the Dust Bowl, conservation agriculture has become a common practice globally. Because of the rising interest in the use of corn biomass as a feedstock for biofuel production, the effects of corn stover removal on soil erosion were explored. It was hypothesized that selective harvesting strategies would impact soil erosion differently across a variety of slopes. Soil erosion boxes were constructed, and a rainfall simulator with an intensity of 30 mm hr-1 for 46 min was used to create runoff from slopes of 1, 5, and 10% and three cover factor treatments (no removal and two simulated corn stover removal strategies). Due to research time constraints, simulated corn roots were constructed to emulate actual corn roots in all experiments. The corn stover harvest strategies change the distribution of cobs, husks, leaves, and stalks in field; these changes were represented as the cover factor treatments. Changing the type of plant material on the soil surface impacted the predicted soil erosion from the Revised Universal Soil Loss Equation (RUSLE). Based on the results from this study, the effect of corn stover cover percentages had a significant impact on the predicted and observed soil loss.

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James, Elizabeth M. "Importance of Factors Considered by Ohio Secondary Agricultural Education Teachers in Their Decision to Remain in Teaching." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1367579114.

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Gross, Loren Clifford. "Factors That Positively Affect Agricultural Educator Longevity and Retention in Kentucky: A Delphi Study." TopSCHOLAR®, 2019. https://digitalcommons.wku.edu/theses/3116.

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The purpose of this study was to determine the favorable factors that positively affect the longevity and retention of agricultural educators in the state of Kentucky. This issue was examined by answering the following questions: What are the primary reasons you decided to become an agricultural teacher? Why have you decided to stay in the agricultural education profession for five or more years? What are some of the barriers that you have encountered during your teaching career that you have had to overcome that may have caused you to leave the profession? A three-round Delphi study was utilized to capture the responses from the expert panelists in relation to each research question. The Delphi panel came to the consensus that the following six statements were the most common favorable factors in teachers’ careers: I grew up on a family farm and understood the importance of showing the world what it is that agriculturalists do; I love the agricultural industry; I worked with 4-H and/or FFA youth team(s) and wanted to stay involved in youth development and teaching life skills to students; I find most days enjoyable in the job; I enjoy the relationships I build with students in their FFA careers and SAE’s, allowing me to help them build themselves up more than a regular teacher; Agricultural educators in this state receiving an extended employment compensation. The information gained from this study has the potential to help all stakeholders in the agricultural education community to encourage and aid current teachers to remain in the profession. The study identified unfavorable factors that should be considered for targeting to relieve pressure on agriculture education that could negatively affect teacher retention. One recommendation for use of this information is to use the data in the Kentucky New Agriculture Teacher Cohort or Master Agriculture Teacher Programs to encourage individuals to look for or focus on the favorable factors in their careers. Administering this Delphi study to a group of agricultural educators under five years’ experience could result in data showing favorable and unfavorable factor difference between pre-five and post-five-year experience teachers.

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Sebadieta, Rapelang Bamba. "Factors affecting the implementation of acquired skills and knowledge presented to farmers at Denman Rural Training Centre in Gaborone agricultural region, Botswana." Diss., Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-08082007-163412.

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Hartley, David C. "Factors that influence 4-H club membership retention in West Virginia." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4175.

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43

Keita, Fricky. "A canopy model for the study of bidirectional reflectance factors in vegetation stands." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/290345.

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A radiative transfer model for a homogeneous plane parallel vegetative canopy is developed. A method to decompose and calculate the uncollided, once scattered, and multiply scattered radiation components is also presented based on the turbid medium approach. The new model accounts for the some effects exhibited only by homogenous vegetation canopies. This allows the simulation of the scattering processes within the plant canopy as a function of the traditional canopy architecture parameters such as leaf area index (LAI), leaf reflectance and transmittance, and also the canopy height and leaf size, stem etc... This model integrates two different approaches: the turbid medium approach and an approach that takes into account the finite size of the leaves. Furthermore, a state of the art leaf radiation transfer model (PROSPECT) is incorporated into the new model that provides leaf scattering properties as inputs (transmittance and reflectance vs. wavelength). Based on the proposed canopy model, a computer code in MATLAB was formulated using the discrete ordinates numerical method. This was used to calculate the bi-directional reflectance factor for a given geometry and a viewing angle from a plant canopy. The code for the new model is modular and very simple to use. The new model has been validated against other radiative transfer models, and compared with measured data. The results obtained using the model are in good agreement with the measured data.

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Rossano, Emmalou. "Factors associated with the turnover intentions of Ohio Cooperative Extension county agents /." Connect to resource, 1985. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1260642090.

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45

Alam, Shamsul. "The effects of price and non-price factors on the production of major crops in Bangladesh." Thesis, University of Newcastle Upon Tyne, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315583.

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Fernando, Mirisage Telespher Neil. "An economic analysis of factors affecting the adoption of coconut-based intercropping systems in Sri Lanka." Thesis, University of Aberdeen, 1997. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU093676.

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This study analyses the effect of socio-economic and communicative factors, farm-level resource constraints, and government policies on the adoption of coconut-based intercropping (CBI) in Sri Lanka. This practice was introduced 20 years ago to overcome the two main limitations of traditional coconut monocropping inefficient land use and low incomes to farmers, but it has not been widely adopted. Benefit-cost, multiple regression, and categorical data analysis, and an assessment of constraints on CBI adoption using a multiperiod linear programming (MLP) model of three farmer groups, categorised using cluster analysis, were carried out using data collected from a farmer survey, on-farm CBI trials and from secondary sources. The economic analysis reveals that CBI gives higher returns per hectare than coconut monocrops, but the benefit-cost ratio, and returns to both labour and working capital of some CBI systems, are lower than those of monocrops. The multiple regression and categorical data analyses indicate that the adoption of CBI is positively influenced by the availability of labour and cash, and by extension contacts, while it is negatively affected by rice cultivation. The MLP model results reveal that an expansion of CBI is mainly constrained by seasonal labour shortages for all farmer groups, particularly the high-income group, and by the scarcity of cash in the case of resource-poor farmers. CBI policies aimed at subsidising inputs or intercrop prices are not likely to be efficient in raising adoption, but alternative policies aimed at alleviating resource constraints would be more effective. The high risks and management demands associated with CBI also affect its adoption because of the diverse activities of coconut farmers. The less risky and reduced management demands of monocropping appear to meet the needs of the many coconut farmers with outside interests.

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Edwards-Morris, Seanicaa Evette. "IDENTIFICATION OF DISEASE AND WEATHER RELATED LOSS FACTORS AND AN EFFICIENCY MEASURE AFFECTING THE U.S. FARM-RAISED CATFISH INDUSTRY." MSSTATE, 2008. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042008-092426/.

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This study analyzed factors that affected catfish losses from diseases and weather events and factors that affected on-farm efficiency. A double limit tobit model was used to determine the magnitudes of losses experienced by producers due to these events, while a linear regression model was used to determine factors that affect efficiency. Results from the weather model indicate all variables are significant and positively affect loss while producer experience and pond depth were the only significant variables that affected disease loss. The efficiency model results provide information that could be increased or decreased in order to obtain a more efficient level of production. Significant inputs in the catfish efficiency model were age, experience, age/experience (interactive), catfish survival percentage, and percentage of fry and fingerlings purchased off-farm.

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Laake, Steven P. Laake. "Employee Engagement: Measuring Factors to Improve Organizational Outcomes." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469024933.

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Oldham, Ruth Mary. "Meeting the Demand for Local Food in West Virginia| An analysis of factors influencing producers' market participation and expansion decisions." Thesis, West Virginia University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1549771.

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Increasing demand in local food markets in WV offers a new or enhanced income generation opportunity to small producers. An ostensible gap in supply to meet this demand sparks an investigation of the factors that influence producers' decisions, as reflected by their behavior and intentions, to participate and expand in local food markets. The factors that influence both the behavior of current commercial producers and potential new entrants are identified through analysis of data collected through a survey of producers identified by field professionals. Specifically, the influence of motivational and place-based sociocultural characteristics, based on guidance from social psychology Theory of Planned Behavior, is examined within an economic framework of market participation and supply. Interest among non-commercial producers is identified and poses to be a plausible source of enhanced supply in local food markets in addition to expansion among current producers. Models of market participation behavior and supply response, using a probit model and OLS regression, indicated significant influence of motivational factors such as reasons for entering farming, influence of social context, and attitudes towards diversification of income to reduce risk. Probit model results indicate that past concerns such as time limitation and perceptions of lack of profitability limit intentions to participate in the market among current non-commercial producers, whereas past concerns about food safety and distance to market do not appear to limit those intentions. Probit model results of expansion intentions indicate the predominant influence of access to resources and farm-level factors as opposed to motivational factors on expansion. The importance of farm succession to sales volume and expansion intentions is salient. Interventions that will be successful at facilitating new entrants to market and expansion among current commercial producers must be tailored to producer values and sociocultural norms in addition to addressing resource barriers and skills. Specifically, facilitation of farm succession, implementation of marketing models that overcome distance to market and producer time and risk constraints, and education and technical assistance that is sensitive to sociocultural norms and values in general are potential leverage points. The analysis of market participation in addition to supply volume is determined to be an important aspect of analysis of supply response in local food markets in WV.

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Senior, Anna. "Catchment factors affecting particle and phosphorus retention in constructed wetlands receiving agricultural runoff." Thesis, Linköpings universitet, Biologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-74262.

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Eight agricultural catchments in south Sweden were investigated for factors that may affect phosphorus (P) load and retention in the downstream situated wetlands (WL). P load is known to affect retention, and is determined by hydrological and geographical catchment characteristics. The wetlands were small (0.02-0.88%) in relation to their catchments (CA) and varied in design. Net sedimentation and P retention was determined with sedimentation plates during one year. The variables that best explained differences in particles and TP retention were the hydraulic load (q), TP load and the wetland length to width ratio. Contrary to expectations there was no correlation between factors that could be associated with erosion (i.e. slope and soil clay content) and retention of neither particles nor TP. Generally, the highest amounts of settled particles and P were found close to the wetland inlets, but soil disturbance (i.e. tillage) and high q increased the settling distance. It was likely that the smallest clay particles were too unaggregated to settle within these wetlands. Factors not included, such as wetland vegetation and bioturbation may have a large impact on P retention and this should be further investigated. The study also points to the difficulties in scaling down geological and P loss data from a regional to a local scale, as there can be large local deviations from the regional standard values. An easy method for identification of local “hotspots” for P losses should be of value for planning the location of future wetlands.

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Dissertations / Theses on the topic 'Agricultural factors and GDP'

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