Dissertations / Theses on the topic 'Agricultural Economic Data'
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Larsén, Karin. "Economic consequences of collaborative arrangements in the agricultural firm /." Uppsala : Dept. of Economics, Swedish University of Agricultural Sciences, 2008. http://epsilon.slu.se/200828.pdf.
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Atici, Kazim Baris. "Using data envelopment analysis for the efficiency and elasticity evaluation of agricultural farms." Thesis, University of Warwick, 2012. http://wrap.warwick.ac.uk/54354/.
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Data Envelopment Analysis (DEA) is a well-established relative efficiency measurement technique, which has been widely applied to evaluate the technical efficiency of agricultural units in different countries by focusing on different aspects of agricultural production. This research deals with the evaluation of efficiency through DEA in non-homogeneous agricultural production, where units produce a wide range of different outputs. The objectives are threefold. Firstly, we propose a novel methodological approach of integrating the production trade-offs concept of DEA into non-homogeneous agricultural efficiency evaluation to prevent the overstatement of the efficiency of specialist farms and overcome the issue of insufficient discrimination due to large number of outputs in the models. Secondly, we aim to integrate this methodological perspective to the theory of elasticity measurement on DEA frontiers. The efficient frontiers of DEA are not defined in functional forms as in the classical economic theory, therefore obtaining elasticity measures on them require different considerations. We introduce the production trade-offs to the elasticity measurement and derive the necessary models to calculate the elasticities of response in the presence of production trade-offs. As a third objective, before moving to the introduction of the trade-offs in elasticity measurement, for theoretical completeness, we first consider the elasticity measurement on DEA frontiers of constant returns-to-scale (CRS) technologies. Our proposed methodology and all the developed elasticity theory are illustrated in a real world case of Turkish agricultural sectors. We provide extensive empirical applications covering all the proposed theory and methodology. Among the results of this research, we provide an elasticity measurement framework, which enables us to calculate elasticities of response measures in both VRS and CRS technologies, with or without production tradeoffs included. We observe that the integration of production trade-offs provide better discrimination of efficiency scores compared to the models without trade-offs included. We also investigate how changing production trade-offs affect the efficiency and elasticity measures of the evaluated units.
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Wearaduwa, Vidana Kankanamge Thilani Kaushalya. "Economic Efficiency of Occupational Health and Safety Investments at Agricultural Cooperatives." Thesis, North Dakota State University, 2018. https://hdl.handle.net/10365/28861.
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Industries related to agricultural cooperatives record some of the highest injury rates in the U.S. Therefore, agricultural cooperatives are highly motivated to invest in occupational health and safety (OHS). This thesis examines the economic efficiency of OHS investments at agricultural cooperatives and identifies cooperative characteristics leading to greater economic efficiency of OHS investments. A multiple input-output data envelopment analysis (DEA) is used to estimate technical efficiency. The effects of cooperative characteristics on the efficiency of OHS investments are estimated using ordinary least squares, censored regression, truncated regression, and the Simar and Wilson (2007) bootstrap procedure. Results show that the mean technical efficiency score was 0.833. Furthermore, a cooperative?s annual insurance premia has a significant, negative relationship with technical efficiency. In contrast, the experience levels of a cooperative?s top safety person and top managerial person and a location?s total workers employed have significant, positive relationships with efficiency in all estimated models.North Dakota State University. Department of College of Agriculture, Food Systems and Natural Resources
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Parman, Bryon James. "Economies of scale for data envelopment analysis with a Kansas farm application." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/16002.
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Doctor of PhilosophyDepartment of Agricultural Economics
Vincent Amanor-Boadu
Allen M. Featherstone
Estimation of cost functions can provide useful economic information to producers, economists, and policy makers. From the estimation of a cost function, it is possible to calculate cost efficiency, economies of scope, and economies of scale. Economic theory specifies the cost function as a frontier since firms cannot operate at lower cost than the cost minimizing input/output bundle. However, traditional parametric estimation techniques often violate economic theory using two sided-error systems. The stochastic frontier method has allowed the estimation of a frontier but continues to restrict the technology through functional assumption. Nonparametric frontier estimation is an alternative approach to estimate a cost frontier by enveloping the data which by its construct, conforms to economic theory. This research expands the economic information available by deriving multi-product scale economies and product-specific scale economies from the nonparametric approach. It also tests its ability to accurately recover these important economic measures under different assumptions of the cost function, and cost inefficiency distributions. Next, this new method is compared to other methods used to estimate cost functions and associated economic measures including a two-sided error system, stochastic frontier method, and an OLS model restricting the errors to take on only positive values. Finally, the nonparametric approach with the new measures is applied to a sample of Kansas farms. The nonparametric approach is able to closely estimate economies of scale and scope from estimation of a cost frontier. Comparison reveals that the nonparametric approach is closer to the “true” economic measures than some parametric methods and that it is better able to extrapolate out of sample when there are no zero output firms. Finally, the nonparametric approach shows that potential cost savings from economies of scale and economies of scope exist for small Kansas farms. However, cost savings from economies of scale become exhausted when farms exceed gross annual revenues of $500k, while economies of scope also diminish as farms grow larger. Results also show from annual frontier estimations that estimates of economies of scale, scope, and cost efficiency have remained relatively stable from 2002 to 2011.
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Nelson, Andrew Darren. "The spatial analysis of socio-economic and agricultural data across geographic scales : examples and applications in Honduras and elsewhere." Thesis, University of Leeds, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405809.
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Hartwich, Frank. "Evaluating performance of agricultural research & development : an economic analysis of R & D in universities and other research organizations in Cameroon and Tanzania /." Beuren : Grauer, 2001. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009836947&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Remaury, Hugo. "Ex-ante economic and ecosystem service potential of simulated conservation practices in Ghana using a minimum data approach." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/13248.
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Master of ScienceDepartment of Agricultural Economics
Timothy J. Dalton
Given the changing climate paradigm, food and poverty are likely to become more severe in Africa. Farmers can adapt to climate change, especially through conservation agriculture. This study relies on a minimum data approach developed by Antle and Valvidia (2006) to estimate the spatial distribution of opportunity cost for farmers in switching to conservation practices in Wa, Ghana. It assesses the economic feasibility of several scenarios that rely on production techniques currently studied by the CRSP SANREM project. We also explore the possibility that these practices can provide income from carbon sequestration payments implemented by the Kyoto protocol’s Clean Development Mechanisms. The methodology uses data from both a recent survey and information from secondary sources to assess simulated management practices. Results indicate that all the simulated management practices would theoretically benefit farmers. In fact, adoption rates for the four scenarios range from 52% to 65%, even without any carbon payment. Adding a proportional payment to the amount of carbon sequestered with these practices does not seem enough to influence farmers switch to switch to alternative scenarios. The analysis shows that these results hold even when additional fixed costs to adopt these practices are included. This case study demonstrates the usefulness of the minimum data approach in estimating the economic potential of conservation practices in Ghana. These production techniques may represent environmentally-friendly alternatives that are more profitable for farmers than current practices. The next step in assessing implementation of such practices would require studying farmers’ willingness to adopt these production systems, given their ex-ante economic returns.
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Linde-Rahr, Martin. "Household economics of agriculture and forestry in rural Vietnam /." Göteborg : Dept. of Economics [Nationalekonomiska institutionen], Univ, 2002. http://www.handels.gu.se/epc/data/html/html/PDF/LindeRahrdissNEpdf.pdf.
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Musemwa, Lovemore. "Economics of land reform models used in Mashonaland Central Province of Zimbabwe." Thesis, University of Fort Hare, 2011. http://hdl.handle.net/10353/435.
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The land reform that has unfolded in Zimbabwe since 1980 used different models and had diverse consequences. Since the implementation of the fast tract land reform programme in 2000, Zimbabwe experienced heavy reduction in yield and output at farm level that led to a 70% shortfall in production to meet annual food requirements (Richardson, 2005). The economic crisis in Zimbabwe has been characterized by worsening food insecurity especially in the rural areas where harvests continue to be poor. In the beef sector, Zimbabwe has failed to meet its export quota to the EU. The shortfall in production to meet annual food requirements shows a very grim situation but do not tell us about the performance of resettled farmers who now occupy much of the productive land. The broad objective of the study was to determine and compare the production efficiency of resettled farmers in Zimbabwe across land reform models. In addition, the study determined land use intensity. The study was conducted in the Mashonaland Central Province of Zimbabwe mainly because a wide variety of field crops were grown by resettled farmers. The respondents were stratified into three groups. These were: beneficiaries of land reform before 2000 (resettle scheme), fast track A1 model and fast track A2 model. The three models differ on how they were implemented and supported and this might result in different efficiencies of the models. A total of 245 copies structured questionnaire were administered on the resettled farmers from June to September 2010. Descriptive statistics was applied to the basic characteristics of the sampled households. The effect of model of land reform, gender of the household head, marital status, age of the household head, education, household size, religion, dependence ratio, whether the farmer was fulltime or part-time in farming, experience of the farmers in farming at that environment, total land size owned by the farmers and soil type on revenue per hectare and land use rate were determined using the GLM procedure of SAS (2003). Significance differences between least-square group means were compared using the PDIFF test of SAS (2003). The relationship between Revenue and land utilization was examined using the Pearson‟s correlations analysis. Dependance between response variables that had an effect on either revenue per hectare or land utilization with all the other response variables was tested using the Chi-square test for dependance. To find the effect of arable land used and herd size on revenue per hectare and land use the RSREG Procedure of SAS (2003) was used. Input oriented DEA model under the assumption of constant return to scale was used to estimate efficiency in this study. To identify factors that influence efficiency, a Tobit model censored at zero was selected. The mean land use rate varied significantly (p<0.05) with the land reform model with A2 having highest land use rate of 67%. The A1 and old resettlement households had land use rates of 53% and 46%, respectively. Sex, marital status, age of the household head, education and household size significantly affected land use (P<0.05). Revenue per hectare was not affected by any the factors that were inputted in the model. Results from the DEA approach showed that A2 farmers (large land owners) had an average technical efficiency score of 0.839, while the lowest ranking model (A1) had an average score of 0.618. Small land holders (A1 and the old resettled farmers) are on average less cost-efficient than large land owners, with a score of 0.29 for the former compared with 0.45 for the latter. From the factors that were entered in the Tobit model, age of household head, excellent production knowledge and farmer status affected technical efficiency whereas allocative efficiency was only affected by good production knowledge, farm size, arable land owned and area under cultivation. Factors which affected economic efficiency of the resettled farmers are secondary education, household size, farm size, cultivated area and arable land owned. None of the included socio-economic variables has significant effects on the allocative and economic efficiency of the resettled farmers. Thus, the allocative and economic inefficiencies of the farmers might be accounted for by other natural and environmental factors which were not captured in the model.
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Catney, Denise Catherine. "Mathematical modelling of abbatoir condemnation data." Thesis, Queen's University Belfast, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388044.
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Schemper, Janel K. "Efficiency of combine usage: a study of combine data comparing operators and combines to maximize efficiency." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/17738.
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Master of AgribusinessDepartment of Agricultural Economics
Vincent Amanor-Boadu
Farming is an important industry in the United States. The custom harvesting industry plays a major role in feeding the world. Schemper Harvesting is a family-owned and operated custom harvesting service that employs 20-25 seasonal workers and understanding how to manage a custom harvesting business professionally and efficiently is the key for its success. Today, there is data available through JDLink on John Deere combine performance beginning in year 2012. The purpose of this study is to examine the usefulness of this JDLink data to assess the efficiency of each of Schemper Harvesting’s seven combines, including machine efficiency and different combine operators. The goal is to determine how the data can improve Schemper Harvesting’s overall performance. Statistical methods were used to analyze Schemper Harvesting’s performance. The analysis indicated that fuel is a major expense and there are ways Schemper Harvesting can conserve fuel. This information may prove valuable in being able to operate a combine more efficiently and save money on expenses. Overall, the objective is to improve Schemper Harvesting’s performance, which results in higher profit without sacrificing quality. Precision technology is an added expense to the business. Being able to justify this expense with profit is the answer. Fuel, labor and machinery are the biggest inputs in the custom harvesting business. These costs related to production agriculture have increased the demand for precision agriculture to increase efficiency and profitability. In order to compensate for the investment in technology, it has been demonstrated that it pays for itself. Making correct use of precision technology adds to productivity. With experience, operators improve increasing their overall efficiency. Incentive plans can be utilized through this data. With the availability of data, the costs and benefits of precision technology can be further evaluated. Five of the seven combines are operated by family members and the other two by non-family employees. This study shows that the performance of the non-family employees was below that of family members. The initial assessment for this difference may be attributed to experience because all the family members have been operating combines for most of their lives. This implies that employing people with excellent performance experience records and/or a need to train non-family employees to help them understand the performance expectations at Schemper Harvesting. The results indicate that tracking operational output performance indicators, such as acreage and volume harvest should be completed so that they may be assessed in concert with the technical indicators such as time and fuel use. The study provides the potential benefits of using John Deere’s JDLink data service providing telematics information for its customers with the latest precision agriculture technologies.
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Perry, Lyndi. "The Value of Farmland: Mapping Assessor Data to Understand Land Use Change." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7413.
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Ideas developed by regional economists have potential applications within the urban planning field. One potential application is toward conserving farmland, and within this thesis this topic is examined for the study area of Utah County, Utah. Using assessor data, a land value map is created and further used to develop a regional economic model and spatial models that were analyzed for patterns of land use change.
Findings show that representing land value as continuous surface maps is a useful approach. The maps reveal that Utah County has densified as its population increased while farmland loss still occurred in agriculturally-important areas. Vulnerable areas were identified by examining the value of changed lands. Change mapping shows that macro-level variables affect local land values and subsequent development patterns.
While limitations exist, the conclusion was drawn that this data is useful in connecting land value to location, examining change over time, and understanding how individuals’ priorities (as represented through property values) may conflict with (and potentially solve) collective goals.
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Zhuo, Shuai He. "Agricultural productivity growth in chinese economy : a provincial panel data analysis after 1980." Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1783730.
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Young, Jeffrey S. "Competition between private labels and national brands| Empirical evidence from Homescan data on fluid milk markets." Thesis, Purdue University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1585447.
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The purpose of this study is to empirically examine the nature of the pricing relationship between private labels (or "store brands") and national brands. To accomplish this, we control for the exogenous variation in the farm price of a commodity that serves as the main agricultural input common to both private labels and national brands (any shocks to this farm price will pass through to both retail prices - private label and retail). The product of choice is fluid milk, as the farm price of milk comprises a large share of producer and retailer cost.
Two examples of underlying theories concerning this relationship are that (1) the introduction of private labels into a market lowers relative national brand prices, and (2) the introduction of private labels raises the relative national brand prices. The intuition following these two theories about private label/national brand competition tells us the patterns we should look for in the farm-to-retail price transmissions - whether relative national brand prices rise or fall. Hence, the models we estimate are standard price transmission models, each appropriate under specific assumptions about the data.
We obtain results that are inconsistent with either of the chosen theories. Furthermore, the results are robust across model specification. Within the results, we do observe that for small number of markets, the price transmission patterns for private labels are statistically different from those of national brands. Using Chow tests, these markets can be identified and set aside for further investigation.
Finally, we estimate the models again using private label retail prices from retailers for whom private labels are a relatively larger share of sales, and private label prices from retailers for whom private labels are a relatively lower share of sales. On average, we observe no difference in price-setting by retailers who feature national brands and those who don't, which is consistent with the preliminary findings.
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Bailey, Alastair S. "The estimation of input-output coefficients for agriculture from whole farm accounting data." Thesis, University of Reading, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320135.
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Zarebanadkoki, Samane. "Essays on Health Economics Using Big Data." UKnowledge, 2019. https://uknowledge.uky.edu/agecon_etds/82.
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This dissertation consists of three essays addressing different topics in health economics. In the first essay, we perform a systematic review of peer-reviewed articles examining consumer preference for the main electronic cigarette (e-cigarette) attributes namely flavor, nicotine strength, and type. The search resulted in a pool of 12,933 articles; 66 articles met the inclusion criteria for this review. Current literature suggests consumers preferred flavored e-cigarettes, and such preference varies with age groups and smoking status. Consumer preference for nicotine strength and types depend on smoking status, e-cigarette use history, and gender. Adolescents consider flavor the most important factor trying e-cigarettes and were more likely to initiate vaping through flavored e-cigarettes. Young adults prefer sweet, menthol, and cherry flavors, while non-smokers, in particular, prefer coffee and menthol flavors. Adults in general also prefer sweet flavors (though smokers like tobacco flavor the most) and dislike flavors that elicit bitterness or harshness. Non-smokers and inexperienced e-cigarettes users tend to prefer no nicotine or low nicotine e-cigarettes while smokers and experienced e-cigarettes users prefer medium and high nicotine e-cigarettes. Weak evidence exists regarding a positive interaction between menthol flavor and nicotine strength.
In the second essay, we investigate U.S. adult consumer preference for three key e-cigarette attributes––flavor, nicotine strength, and type––by applying a discrete choice model to the Nielsen scanner data (Consumer Panel data combined with retail data) for 2013 through 2017, generating novel findings as well as complementing the large literature on the topic using focus groups, surveys, and experiments. We found that (adult) vapers prefer tobacco flavor, medium nicotine strength, and disposables, and such preference can vary over cigarette smoking status, purchase frequency, gender, race, and age. In particular, smokers prefer tobacco flavor, non-smokers or female vapers prefer medium strength, and infrequent vapers prefer disposables. Vapers also display loyalty (inertia) to e-cigarette brands, flavor, and nicotine strength. One key policy implication is that a flavor ban will likely have a relatively larger impact on adolescents and young adults than adults.
The third essay employs a machine learning algorithm, particularly a random forest, to identify the importance of BMI information during kindergarten on predicting children most likely to be obese by the 4th grade. We use the Arkansas BMI screening program dataset. The potential value of BMI information during early childhood to predict the likelihood of obesity later in life is one of the main benefits of a BMI screening program. This study identifies the value of this information by comparing the results of two random forests trained with and without kindergarten BMI information to assess the ability of BMI screening to improve a predictive model beyond personal, demographic, and socioeconomic measures that are typically used to identify children at high risk of excess weight gain. The BMI z-score from kindergarten is the most important variable and increases the accuracy of the prediction by 14%. The ability of BMI screening programs to identify children at greatest risk of becoming obese is an important but neglected dimension that should be used in evaluating the overall utility.
In the last essay, we use Nielson retail scanner dataset and apply a difference-in-differences (DID) approach and synthetic control method, and we test whether consumers in Utah reduced beef purchases after the 2009 Salmonella outbreak of ground beef products. The result of DID approach indicates that the Salmonella event reduced ground beef purchases in Utah by 17% in four weeks after the recall. Price elasticity of demand is also estimated to be -2.04; therefore, the reduction in ground beef purchases as a result of recall is comparable to almost 8.3% increase in the price of this product. Using the synthetic control method that allows us to use all of the control states to produce synthetic Utah, we found the effect of this event minimal compared to the DID effect.
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Muwanga-Zake, E. S. K. "The determination of data needs and priorities : a case study of food and agricultural statistics in Uganda." Thesis, University of East Anglia, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376061.
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Shabbir, Javid. "Choice and collection of agriculture survey data in Punjab and its use in planning improved food supply." Thesis, University of Kent, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362192.
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Naude, Stephanus David. "Application of spatial resource data to assist in farmland valuation." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/18118.
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Thesis (MScAgric) -- Stellenbosch University, 2011.ENGLISH ABSTRACT: In South Africa more than 80 percent of the total land area is used for agriculture and subsistence livelihoods. A land transaction is generally not a recurring action for most buyers and sellers, their experience and knowledge are limited, for this reason the services of property agents and valuers are sometimes used, just to get more information available. The condition of insufficient information and the inability to observe differences in land productivity gives rise to the undervaluation of good land and overvaluation of poor land. The value of a property plays an important role in the acquisition of a bond, in this context farm valuations are essential and therefore commercial banks make more use of specialist businesses that have professional valuers available. The advent of the Internet made access to comprehensive information sources easier for property agents and valuers whose critical time and resources can now be effectively managed through Geographic Information System (GIS) integrated workflow processes. This study aims to develop the blueprint for a farm valuation support system (FVSS) that assists valuers in their application of the comparable sales method by enabling them to do the following: (1) Rapid identification of the location of the subject property and transaction properties on an electronic map. (2) Comparison of the subject property with the transaction properties in terms of value contributing attributes that can be expressed in a spatial format, mainly a) location and b) land resource quality factors not considered in existing valuation systems that primarily focus on residential property. Interpretation of soil characteristics to determine the suitability of a soil for annual or perennial crops requires specialized knowledge of soil scientists, knowledge not normally found among property valuers or estate agents. For this reason an algorithm, that generates an index value, was developed to allow easy comparison of the land of a subject property and that of transaction properties. Whether this index value reflects the soil suitability of different areas sufficiently accurate was confirmed by soil suitability data of the Breede and Berg River areas, which were obtained by soil scientists by means of a reconnaissance soil survey. This index value distinguishes the proposed FVSS from other existing property valuation systems and can therefore be used by valuers as a first approximation of a property’s soil suitability, before doing further field work. A nationwide survey was done among valuers and estate agents that provided information for the design of the proposed FVSS and proved that the need for such a system does exist and that it will be used by valuers.
AFRIKAANSE OPSOMMING: Meer as 80 persent van die totale grondoppervlakte in Suid-Afrika word gebruik vir landbou en bestaansboerdery. 'n Grondtransaksie is oor die algemeen nie 'n herhalende aksie vir die meeste kopers en verkopers nie, hul ervaring en kennis is beperk, om hierdie rede word die dienste van eiendomsagente en waardeerders soms gebruik om meer inligting beskikbaar te kry. Die toestand van onvoldoende inligting en die onvermoë om verskille in grondproduktiwiteit te identifiseer gee aanleiding tot die onderwaardering van goeie grond en oorwaardering van swak grond. Die waarde van 'n eiendom speel 'n belangrike rol in die verkryging van 'n verband. In hierdie konteks is plaaswaardasies noodsaaklik en daarom maak kommersiële banke meer gebruik van gespesialiseerde maatskappye wat oor professionele waardeerders beskik. Die koms van die Internet het toegang tot omvattende inligtingsbronne makliker gemaak vir eiendomsagente en waardeerders wie se kritiese tyd en hulpbronne nou effektief bestuur kan word deur middel van Geografiese Inligtingstelsel (GIS) geïntegreerde werksprosesse. Hierdie studie poog om die bloudruk vir 'n plaaswaardasie ondersteuningstelsel te ontwikkel wat waardeerders sal help in hul toepassing van die vergelykbare verkope metode deur hul in staat te stel om die volgende te doen: (1) Vinnige identifisering van die ligging van die betrokke onderwerp eiendom en transaksie eiendomme op 'n elektroniese kaart. (2) Vergelyking van die onderwerp eiendom met transaksie eiendomme in terme van waardedraende eienskappe wat in 'n ruimtelike formaat uitgedruk word, hoofsaaklik a) ligging en b) bodem gehaltefaktore wat nie oorweeg word in bestaande residensieel georiënteerde waardasiestelsels nie. Interpretasie van grondeienskappe om die geskiktheid van grond vir eenjarige of meerjarige gewasse te bepaal vereis gespesialiseerde kennis van grondkundiges, kennis wat nie normaalweg gevind word onder eiendomswaardeerders of eiendomsagente nie. Om hierdie rede is 'n algoritme ontwikkel sodat die grond van ‘n onderwerp eiendom d.m.v. ‘n indekswaarde met transaksie eiendomme vergelyk kan word. Die indekswaarde is akkuraat genoeg bevestig toe dit vergelyk is met grond geskiktheidsdata wat deur grondkundiges in die Breede- en Bergrivier gebiede ingesamel is. Hierdie indekswaarde onderskei die voorgestelde plaaswaardasie ondersteuningstelsel van ander bestaande eiendom waardasiestelsels en kan dus deur waardeerders gebruik word as 'n eerste bepaling van 'n eiendom se grond geskiktheid, voordat verdere veldwerk gedoen word. 'n Landwye opname is gedoen onder waardeerders en eiendomsagente wat inligting voorsien het vir die ontwerp van die voorgestelde plaaswaardasie ondersteuningstelsel, asook bewys gelewer het dat daar ‘n behoefte aan so 'n stelsel bestaan en dat dit deur waardeerders gebruik sal word.
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Rapu, Samuel Chukwueyem. "Evaluating the Impact of Policies on Production Efficiency of Nigeria's Rice Economy." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2423.
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Nigeria, like all other rice consuming nations, has experienced a surge in domestic demand for rice since 1970. However, local rice production has not been sufficient to meet local demand, leading to this demand continually being filled by imports. The Federal Government of Nigeria has initiated subsidies programs intended to improve Nigerian rice farmers' technical and cost efficiency levels. This quantitative study evaluated the impact of these policies on the technical and cost efficiency levels of paddy rice farm households in Nigeria. Farrell's (1957) efficiency theory and production theory served as the theoretical frameworks. Data were collected from a cross-section of 300 paddy rice farmers drawn from 3 states in Nigeria. The study used 2 estimation techniques: parametric technique (SF) and the non-parametric technique (DEA). The results showed that paddy rice production in Nigeria was still profitable but low and the estimated average technical and cost efficiency levels from the DEA approach were 0.721 and 0.295, respectively. Evidence suggests that the formulation and implementation of subsidy programs on farm inputs were relevant in the variations of technical and cost efficiency levels across the rice farm households. The study findings support the continuity of the subsidy policies to encourage increased rice production; they also suggest that governments should address the issues of post-harvest losses, degrading irrigation facilities, and ineffective rural development policies. The positive social change implications of this research include providing information to inform government policy changes designed to more effectively address rice importation and pricing, positively impacting the standard of living for rural farmers and communities in Nigeria.
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Wang, Chia-Hsing. "Three essays on economics of quality in agricultural markets." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1069824697.
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Aw-Hassan, Aden Abdullahi. "Problems of Data Collection for Economic Research in Small Farmer Agriculture: Some Experience in Somalia." DigitalCommons@USU, 1988. https://digitalcommons.usu.edu/etd/4077.
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The purposes of this thesis are twofold. The first is to show problems encountered in collecting and analyzing data on small-holder agriculture. The second is to describe the role of data in supporting research and rationalization of alternatives for sustaining agricultural strategies in development.
Data collected from six villages of the Lower Shebelle Region of Somalia are taken as a case study to show the difficulties encountered in procurement and analysis of that data. The thesis discusses data collection methods that ensure gathering adequate data that can be used to undertake production economics and farm management research. The thesis also discusses critical sources of data biases that may preclude any meaningful conclusion from the research effort.
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Eberhardt, Markus. "Modelling technology in agriculture and manufacturing using cross-country panel data." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:d60f62f5-43e2-4473-b899-f4358d758e1e.
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Why do we observe such dramatic differences in labour productivity across countries in the macro data? This thesis argues that the growth empirics literature oversimplifies the complexity of the production process across countries and neglects data cross-section and time-series properties, leading to bias in the empirical estimates. Chapter 1 presents two general empirical frameworks for cross-country productivity analysis and demonstrates that they encompass the growth empirics literature of the past decades. We introduce our central argument of cross-country heterogeneity in the impact of observables and unobservables on output and develop this against the background of the pertinent time-series and cross-section properties of macro panel data. Chapter 2 uses data from 48 countries to estimate manufacturing production functions. We discuss standard and novel estimators, focusing on their treatment of parameter heterogeneity and data time-series and cross-section properties. We develop the Augmented Mean Group (AMG) estimator and show its similarity to the Pesaran (2006) Common Correlated Effects (CCE) approach. Our results confirm parameter heterogeneity across countries in the impact of observable inputs on output. We check the robustness of this finding and highlight its implications for empirical measures of TFP. Chapter 3 investigates the heterogeneity of agricultural production technology using data for 128 countries. We develop an extension to the CCE estimators which allows us to suggest that TFP is structured such that countries with similar agro-climatic environment are influenced by the same unobserved factors. This finding offers a possible explanation for the failure of technology-transfer from advanced countries of the temperate 'North' to developing countries of the arid/equatorial 'South'. Our Monte Carlo simulations in Chapter 4 investigate the performance of the AMG, CCE and standard (micro-)panel estimators. Failure to account for cross-section dependence is shown to result in serious distortion of the empirical estimates. We highlight scenarios in which the AMG is biased and offer simple remedies.
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Maurer, Jacob Lafe. "The development of a conceptual benchmarking tool representing big data and agricultural technology adoption on the farm." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/19071.
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Master of AgribusinessDepartment of Agricultural Economics
Gregory Ibendahl
One of the latest buzzes amongst agriculture is the storage and analysis of “Big Data.” There are a number of questions surrounding the quality, quantity, and capacity of big data to form real-world decisions based upon past information. Much like the teachings of history, the storybook that big data can reveal about a grower’s operation may hold the answers to the question of: “what is necessary to increase food production which will be required to feed an ever-growing world?” With the increase in interest in precision agriculture, sustainability practices, and the processing of the immense spatial dataset generated on the farm, the next challenge at hand will be in determining how to make technology not only streamlined, but also profitable. Over the past few years, precision agriculture technology has become widely adopted as an agronomic decision making tool. Much like a scientific experiment, the greater the number of similar observations, the greater the degree of confidence can be placed upon a decision. As a means of increasing the number of observations that a farmer can use to base a decision upon, there is becoming increasing demand in being able to combine the data of similar farming operations in order to increase the size and scope of the dataset to generate better decisions benefitting many farms instead of just one. The growing interest in forming community data pools for farm data demonstrates the need for a study for determining how farming practices can be properly benchmarked. The goal was be to evaluate how to use farm data to make economic decisions in a similar manner as one would make agronomic decisions using similar observations. The objective was to design the proper protocol for benchmarking the farm’s potential, and evaluating potential increases in technical efficiency by adopting precision agriculture technology. To accomplish this, a data envelopment analysis was conducted using scale efficiency as a means of determining the frontier of efficient farms. The resounding goal for this study in the future will be to use the model as a means of implementing the secondary process of pooling precision agriculture data to analyze efficiencies gained by the adoption of technology. By demonstrating the value of generating peer groups to increase observations and refine farming practices, farmers can find increased profitability and efficiency by using resources that may already be held within the operation.
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Rizvi, Muneer Ali Shah. "An analysis of the structure, conduct and performance of the date marketing system in Sind - Pakistan." Thesis, Queen's University Belfast, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328101.
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Miller, Noah James. "Estimating elasticities of input substitution using data envelopment analysis." Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/27656.
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Master of ScienceAgricultural Economics
Jason S. Bergtold
The use of elasticities of substitution between inputs has become the standard method for addressing the effect of a change in the mix of input used for production from a technological or cost standpoint. (Chambers 1988) A researcher that wants to estimate this elasticity, or some other comparative static, typically would do so using parametric production or cost function (e.g. translog or normalized quadratic) with panel data. For a study with only cross-sectional data, the construction of such a function may be problematic. Using a dual approach, a nonparametric alternative in such a situation may be the use of Data Envelopment Analysis (DEA). Cooper et al. (2000) provided a methodology for estimating elasticities of substitution for the technical production problem using DEA. To our knowledge, this has not been extended to the cost efficiency problem, which would be equivalent to estimating Allen partial or Morishima elasticities of substitution between inputs using a cost function (or cost minimization framework). The purpose of this thesis is to show how elasticities of substitution can be derived and estimated for the technical production and cost (overall economic) efficiency DEA under variable returns to scale. In addition, an empirical example using Kansas Farm Management Association (KFMA) data is presented to illustrate the estimation of these elasticities. The results showed that input substitutability is relatively limited at the enterprise level
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Powers, Laura A. "IMPROVING FARM MANAGEMENT DECISIONS BY ANALYZING SITE-SPECIFIC ECONOMIC DATA DEVELOPED FROM YIELD MAPS." UKnowledge, 2002. http://uknowledge.uky.edu/gradschool_theses/167.
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This thesis examines the use of precision agriculture data, specifically yield maps, for makingsite-specific economic decisions for improved farm management. The adoption of precisionagriculture on farms has allowed producers to collect a greater quantity and more specificinformation about production than ever before. With such information, site-specific decisions canbe made. Incorporating economic data with yield map data, two primary decision examples aredeveloped: defining areas of production and nonproduction and managing temporal risk spatiallyacross a field. Included with the production/ nonproduction decision are the effects that landtenure arrangements and risk aversion levels have on the decision. The risk maps are developedusing break-even analysis, the coefficient of variation, and a mean-variance framework, all based ona twenty year average of temporal net returns, measured spatially. The risk maps are repeatedincorporating a crop insurance option, a commonly used risk management tool. Results show thatdeveloping these maps can be used by agricultural producers to help with their decision making. Byincorporating these maps into the decision-making process, decisions can be made to increase farmprofitability.
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Chimai, Bernadette Chewe. "Determinants of Technical Efficiency in Smallholder Sorghum Farming in Zambia." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306247474.
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Rossi, James. "Comparing the Impacts of Biofuels Using Survey and Non-survey Data." Thesis, University of Missouri - Columbia, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13850745.
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This paper utilizes survey data to compare several non-survey methods of modeling the economic impacts of biofuels plants. It examines differences in the input coefficients derived from the survey versus the trade coefficients generated through the non-survey methods. It finds that of the three non-survey methods examined, the Swenson (2006) scenario input coefficients most closely represent those found in the survey based on the performance of the non-survey scenario input coefficients in a variety of statistical tests. Further, it examines the economic impacts (multipliers) generated by these scenarios compared to those generated from the survey. Based upon statistical tests of the multipliers, the Swenson scenario’s estimated impacts most closely represent the impacts derived from the survey.
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Beltrán, Esteve María Mercedes. "Essays on the assessment of eco-efficiency in agriculture." Doctoral thesis, Universidad de Alicante, 2012. http://hdl.handle.net/10045/25183.
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Liu, Kang Ernest. "Food demand in urban China an empirical analysis using micro household data /." Columbus, OH : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1044408843.
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Thesis (Ph. D.)--Ohio State University, 2003.Title from first page of PDF file. Document formatted into pages; contains xiii, 150 p.: ill. Includes abstract and vita. Advisor: Wern S. Chem, Dept. of Agricultural, Environmental, and Development Economics. Includes bibliographical references (p. 143-150).
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Mugadza, Precious. "An assessment of the usefulness of spatial agricultural land resource digital data for agritourism and ecotourism." Thesis, Link to the online version, 2005. http://hdl.handle.net/10019/1125.
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Lynes, Melissa Kate. "Production efficiencies of U.S. electric generation plants: effects of data aggregation and greenhouse gas and renewable energy policy." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/19781.
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Doctor of PhilosophyDepartment of Agricultural Economics
Jeffery R. Williams
Over the last few decades there has been a shift in electricity production in the U.S. Renewable energy sources are becoming more widely used. In addition, electric generation plants that use coal inputs are more heavily regulated than a couple decades ago. This shift in electricity production was brought on by changes in federal policy – a desire for electricity produced in the U.S. which led to policies being adopted that encourage the use of renewable energy. The change in production practices due to policies may have led to changes in the productivity of electric generation plants. Multiple studies have examined the most efficient electric generation plants using the data envelopment analysis (DEA) approach. This study builds on past research to answer three questions: 1) Does the level of aggregation of fuel input variables affect the plant efficiency scores and how does the efficiency of renewable energy input compare to nonrenewable energy inputs; 2) Are policies geared toward directly or indirectly reducing greenhouse gas emissions affecting the production efficiencies of greenhouse gas emitting electric generation plants; and 3) Do renewable energy policies and the use of intermittent energy sources (i.e. wind and solar) affect the productivity growth of electric generation plants. All three analysis, presented in three essays, use U.S. plant level data obtained from the Energy Information Administration to answer these questions. The first two essays use DEA to determine the pure technical, overall technical, and scale efficiencies of electric generation plants. The third essay uses DEA within the Malmquist index to assess the change in productivity over time. Results indicate that the level of aggregation does matter particularly for scale efficiency. This implies that valuable information is likely lost when fuel inputs are aggregated together. Policies directly focused on reducing greenhouse gas emissions may improve the production efficiencies of greenhouse gas emitting electric generation plants. However, renewable energy policies do not have an effect on productivity growth. Renewable energy inputs are found to be as efficient if not more efficient than traditional energy sources.
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Avelar, Fagner Mendonça. "Agricultura familiar: dinâmica e efeitos do PRONAF na região Oeste do Paraná." Universidade Estadual do Oeste do Parana, 2016. http://tede.unioeste.br:8080/tede/handle/tede/1985.
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Previous issue date: 2016-11-30The present study aimed to analyze the dynamics and effects of the National Program for Strengthening Family Agriculture (PRONAF) in the western region of Paraná. Currently, policies directed to the agricultural sector have two approaches: on the one hand, the strengthening of the competitiveness of business agriculture, focused on the external sector, and on the other, the strengthening of family agriculture in order to contribute to the generation of employment and income in rural areas And urban areas. To evaluate the effects of PRONAF, the Panel Data Model was used in view of its superiority in relation to the Cross-Section and Pure Time Series. It was verified that the PRONAF is a sectorial policy capable of generating positive effects both in the growth of the product and in the generation of income, employment and tax revenue of the region. Through a better orientation of the agents involved, policies such as PRONAF can help in the development of regions with characteristics similar to those studied.
A presente pesquisa objetivou analisar a dinâmica e os efeitos do Programa Nacional de Fortalecimento da Agricultura Familiar (PRONAF) na região Oeste do Paraná. Atualmente a políticas direcionadas ao setor agropecuário tem dois enfoques: de um lado o fortalecimento da competitividade da agricultura empresarial, voltada para o setor externo, e de outro o fortalecimento da agricultura familiar de forma a contribuir para a geração de emprego e renda nas áreas rurais e urbanas. Para avaliar os efeitos do PRONAF utilizou-se do Modelo de dados em painel tendo em vista sua superioridade em relação à Seção-Cruzada e Series Temporais puras. Verificou-se que o PRONAF é uma política setorial capaz de gerar efeitos positivos tanto no crescimento do produto quanto na geração de renda, emprego e receita tributária da região. Através de uma melhor orientação dos agentes envolvidos, políticas como o PRONAF, podem auxiliar no desenvolvimento de regiões com características semelhantes á estudada.
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Hankinson, Matthew William. "Planting Date and Starter Fertilizer Effects on Soybean Growth and Yield." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429734801.
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Kim, GwanSeon. "UTILIZING LARGE SCALE DATASETS TO EVALUATE ASPECTS OF A SUSTAINABLE BIOECONOMY." UKnowledge, 2019. https://uknowledge.uky.edu/agecon_etds/78.
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This dissertation combines large scale datasets to evaluate crop prediction, land values, and consumption of a crop being considered to advance a sustainable bioeconomy. In chapter 2, we propose a novel application of the multinomial logit (MNL) model to estimate the conditional transition probabilities of crop choice for the state of Kentucky. Utilizing the recovered transition probabilities the forecast distributions of total acreages for alfalfa, corn, soybeans, tobacco, and wheat produced in the state from 2010 to 2015 can be recovered. The Cropland Data Layer is merged with the Common Land Unit dataset to allow for the identification of crop choice at the field level. Our findings show there are higher probabilities of planting soybeans or wheat after corn relative to corn after corn, tobacco, or alfalfa. In addition, the transition probability of the crop rotation demonstrates that corn will be planted after soybean, and vice versa and that alfalfa has a lower probability of being rotated with other crops from year to year. These findings are expected with traditional crop rotation in the U.S., and a characteristic of a perennial crop, especially for alfalfa. Finally, forecasting results indicate that there are significantly wider distributions in corn and soybean, whereas there is a little variation in the tobacco, wheat and alfalfa acres in the simulation.
In chapter 3, we identify critical consumer-demographic characteristics that are associated with the consumption of products containing hemp and investigate their effect on total expenditure in the U.S. To estimate the likelihood of market participation and consumption level, the Heckman selection model, is employed using the maximum likelihood estimation procedure utilizing Nielsen consumer panel data from 2008 to 2015. Results indicate marketing strategies targeting consumers with higher education and income levels can attract new customers and increase sales from current consumers for this burgeoning market. Head-of-household age in different regions shows mixed effects on decisions to purchase hemp products and consumption levels. Findings will provide a basic understanding of a consumer profile and overall hemp market that has had double-digit growth over the last six years. As the industry continues to move forward, policymakers are going to need a deeper understanding of the factors driving the industry if they are going to create regulations that support the development of the industry.
In chapter 4, we investigate the factors that affect agricultural land values by proposing a new rich dataset, Zillow Transaction and Assessment Data (ZTRAX) provided by Zillow from 2009 to 2014. we also examine whether National Commodity Crop Productivity Index (NCCPI) could be a good indicator of land values or not by comparing two different regression models between county-level cash rent and parcel-level NCCPI. Finally, this study incorporates flexible functional forms of the parcel size to test the parcel size and land values relations. Findings show that factors influencing agricultural land values in states with heterogeneous agricultural lands such as Kentucky are not different from other states with relatively homogeneous agricultural lands. This study also provides suggestive evidence that there is a non-linear relationship between parcel size and land values. Furthermore, we find that a disaggregated NCCPI at parcel-level could be considered an acceptable indicator to estimate agricultural values compared to an aggregated cash rent at county-level.
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Heng, Yan. "Three essays on differentiated products and heterogeneous consumer preferences: the case of table eggs." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/18993.
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Doctor of PhilosophyDepartment of Agricultural Economics
Hikaru Hanawa Peterson
Consumers’ food demand has been found to be affected not only by prices and income, but also by their increasing concern about factors like health benefits, animal welfare, and environmental impacts. Thus, many food producers have differentiated and advertised their products using relevant attributes. The increasing demand and supply of differentiated food products have raised questions regarding consumer preferences and producer strategies. This dissertation consists of three essays and empirically examines the egg market to shed light on related issues. The first question that this study aims to answer is whether consumers are willing to pay a premium for livestock and dairy products associated with improved animal welfare. Consumers’ attitude towards such products not only affect manufacturers’ production decisions, but also influence policy makers and current legislations. Using a national online survey with choice experiments, the first essay found that consumers in the study sample valued eggs produced under animal-friendly environment, suggesting incentives for producers to adopt animal welfare friendly practices. In an actual shopping trip, consumers usually need to choose from products with multiple attributes and labels. Studying how consumers with heterogeneous preferences process these information simultaneously and make decisions is important for producers to target interested consumer segments and implement more effective labeling strategies. In the second essay, a different national online survey was administered. The analysis using a latent class model categorized the sample respondents into four classes, and their preferences toward attributes and various label combinations differed across classes. Scanner data, which record actually purchased choices, are an important source of information to study consumer preferences. Diverging from the traditional demand approaches that are limited in studying differentiated product markets using scanner data, this study used a random coefficient logit model to overcome potential limitations and examine the demand relationship as well as price competition in the differentiated egg market. The third essay found that conventional and private labeled eggs yielded higher margins due to less elastic demand and cautioned producers of specialty eggs, which are usually sold at high prices despite their much more elastic demand.
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Wang, Xiaojin. "ESSAYS ON AGRICULTURAL MARKET AND POLICIES: IMPORTED SHRIMP, ORGANIC COFFEE, AND CIGARETTES IN THE UNITED STATES." UKnowledge, 2016. http://uknowledge.uky.edu/agecon_etds/41.
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This dissertation focuses on topics in areas of agricultural and food policy, international trade, agricultural markets and marketing. The dissertation is structured as three papers. The first paper, Chapter 1, evaluates the impact of agricultural trade policies. Imported shrimp, which comprises nearly ninety percent of all United States shrimp consumption, have become the subject of antidumping and countervailing duty investigations in the past decade. I estimate the import demand for shrimp in the United States from 1999-2014, using the Barten’s synthetic model. I test the hypothesis of possible structural breaks in the import demand introduced by various trade policies: antidumping/countervailing duty investigations and impositions, and import refusals due to safety and environmental issues. Results show that these import-restricting policies have significant effects on the import shrimp demand, indicating that the omission of them would lead to biased estimates.
Chapter 2, the second paper, examines how the burden of state cigarette tax is divided between producers/retailers and consumers, by using the Nielsen store-level scanner data on cigarette prices from convenience stores over the period 2011–2012. Cigarette taxes were found more than fully passed through to retail prices on average, suggesting consumers pay excess burden and market power exists in the cigarette industry. Utilizing information on the attributes of cigarette products, we demonstrated that tax incidence varied by brand and package size: pass-through rates for premium brands and carton-packaged cigarettes are higher than those for discount brands and cigarettes in packs, respectively, indicating possibilities of different demand elasticities across product tiers.
Chapter 3, the third paper, focuses on identifying the demographic characteristics of households buying organic coffee, by examining the factors that influence the probability that a consumer will buy organic coffee, and which factors affect the amount organic coffee purchased. Using nationally representative household level data from 55,470 households over the period of 2011 to 2013 (Nielsen Homescan), and a censored demand model, we find that economic and demographic factors play a crucial role in the household choice of purchasing organic coffee. Furthermore, households are less sensitive to own-price changes in the case of organic coffee versus conventional coffee.
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Townsend, Owen. "THE HISTORY OF THE FEDERAL MILK MARKETING SYSTEM AND AN ANALYTICAL VIEW OF UNIQUE QUALITIES EFFECTS ON MILK PRICES IN THE SOUTHEAST." UKnowledge, 2017. http://uknowledge.uky.edu/agecon_etds/50.
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The Southeast Order has been milk deficit for over ten years and because of this milk has to be brought in from other orders to meet processor’s demand. Transportation credits provide processors with help to cover transportation costs to bring outside milk into the order. To help keep Class I utilization and support milk prices, relative to orders in the North, Order 7 has low diversion limits. As milk produced within Order 7 has been on a downward trend, milk brought into the order has not increased as consistently. In 2000 milk pooled from farms within the order made up an average of 66% out of the total amount pooled compared to a 2012 average of 43%. The objectives of this paper are to review the history of the federal milk marketing system, describe the structure of milk pricing, examine the unique features of the southern orders, and estimate the impact of the amount of milk diverted and the amount paid in transportation credits on Order 7’s uniform price. The results showed that only Class II diverted pounds had a statistically significant impact on the uniform price.
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Jenzen, Douglas P. "Growing Conflict: Agriculture, Innovation, and Immigration in San Luis Obispo County, 1837-1937." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/460.
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The history of San Luis Obispo and its surrounding areas is complex. Agriculture, innovation, and immigration have all contributed to the formation of the region. The Spanish, Mexican, and early American periods established the framework successive waves of immigrants had to live within. Native Americans and immigrants from China, Portugal, Switzerland, Japan, the Philippines, and other regions of the United States have all toiled in the fields and contributed to America’s tables at various points throughout county history. Many contingencies determined the treatment of successive waves of immigrants. Growth and development are taking place at exponential rates on the very land that witnessed the first local agriculture and the conflicts surrounding the burgeoning industry.
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Chang, Ching-Hsing. "Essays on Environmentally Friendly Practices." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306895757.
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Pintor, Eduardo de. "Determinantes da expansão da fronteira de produção das culturas de arroz, milho e soja no Norte e Nordeste brasileiro." Universidade Estadual do Oeste do Parana, 2016. http://tede.unioeste.br:8080/tede/handle/tede/2202.
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Previous issue date: 2016-01-27Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
The agricultural sector has been and remains essential to the development of the Brazilian economy. This sector held its basic functions to assist the development process in much of the country. The main functions, carried out in the 1960s and 1970s, were: sustained increase in supply of agricultural products; expansion of agribusiness exports; labor release to work in other sectors of the economy; transfer of financial resources to other activities in the economy and consumer market constitution for industrialized goods and services. However, it is known that development occurs unevenly and disproportionately in the territory, tending to be concentrated spatially at the locations of greater wealth accumulation. Thus, the agricultural sector also has modernized more intensively in places with higher wealth concentration. Its modernization has not occurred equally throughout the national territory, having also areas where agricultural expansion occurred in the 1990s and 2000. Brazil is one of the few countries that has the possibility of expanding the agricultural frontier of production through incorporation of new areas. The process of agricultural expansion in these areas continues to occur, either by area growth or by increase in productivity. They are concentrated in the states of the regions North and Northeast of Brazil. The agent capable of accomplish this agricultural expansion through new investments is the entrepreneur. In Schumpeter's view, it is the agent who performs the new combinations of production factors that result in innovations in the economy. To this end, this agent, when unprovided of the means of production, needs credit. The role of credit is to provide the means for the entrepreneur perform new combinations. This capacity that the entrepreneur is gifted will result in the opening of new markets or a new source of raw material. The farmer figure as this agent able to implement the technical change of the production process in the analyzed region. Thus, based on these assumptions and the way that the development is spread in the territory, it analyzed the expansion of the production frontier of rice, corn and soybeans in the North and Northeast of Brazil, from 1999 to 2012. For this, it used an econometric model estimated by panel data technique. The equation estimated by this method found that 81.95% of the harvested area of rice, corn and soybeans to the North and Northeast Brazil from 2000 to 2012, are explained by the rural credit funding, Gross Value Added of agriculture, commodities price, number of employees in the agricultural sector, number of establishments of the agricultural sector, quantity sold tractors, agribusiness exports and dummies Bahia, Maranhão, Pará, Piauí and Tocantins. Besides, the learning ability and technique of farmers was critical to the consolidation of the agricultural expansion process, they are seen as entrepreneurs able to put into practice the technical changes applied to the agricultural sector in the North and Northeast of Brazil.
O setor agrícola foi e continua sendo indispensável para o desenvolvimento da economia brasileira. Esse setor realizou suas funções básicas para auxiliar o processo de desenvolvimento em grande parte do território nacional. As principais funções realizadas, nas décadas de 1960 e 1970, foram: aumento sustentado da oferta de produtos agrícolas; expansão das exportações do agronegócio; liberação de mão de obra para outros setores da economia; transferência de recursos financeiros para outras atividades na economia; e a constituição de mercado consumidor para os bens e serviços industrializados. Contudo, sabe-se que o desenvolvimento ocorre de forma desigual e desproporcional no território, tendendo a concentra-se espacialmente nos locais de maior acumulação de capital. Deste modo, o setor agrícola também se modernizou de forma mais intensiva em locais com maior concentração de capital. Sua modernização não ocorreu de forma igualitária em todo o território nacional, possuindo, ainda, áreas onde a expansão agrícola ocorreu nas décadas de 1990 e 2000. O Brasil é um dos poucos países que tem a possibilidade de expansão da fronteira agrícola de produção via incorporação de novas áreas. O processo de expansão agrícola nestas áreas continua ocorrendo, seja pelo crescimento de área ou pela elevação da produtividade. Elas estão concentradas nos estados das regiões Norte e Nordeste brasileiro. O agente capaz de realizar esta expansão agrícola por meio de novos investimentos é o empresário. Na concepção de Schumpeter, ele é o agente que realiza as novas combinações dos fatores de produção que resultam em inovações na economia. Para tanto, esse agente, quando desprovido dos meios de produção, necessita de crédito. O papel do crédito é proporcionar os meios para que o empresário realize novas combinações. Esta capacidade de que o empresário é dotado resultará na abertura de novos mercados ou em uma nova fonte de matéria-prima. O agricultor figura como este agente capaz de implantar a mudança técnica do processo produtivo na região analisada. Assim, pautado nestas premissas e na forma pela qual o desenvolvimento se propaga no território, analisou-se a expansão da fronteira de produção das culturas de arroz, milho e soja no Norte e Nordeste brasileiro, no período de 1999 à 2012. Para isto, foi utilizado um modelo econométrico estimado por meio da técnica de dados em painel. A equação estimada por esse método constatou que 81,95% da área colhida das culturas de arroz, milho e soja para o Norte e Nordeste brasileiro de 2000 a 2012, são explicadas pelo crédito rural de custeio, Valor Adicionado Bruto da produção agropecuária, preço das commodities, número de empregados no setor agrícola, número de estabelecimentos do setor agrícola, quantidade vendida de tratores, exportações do agronegócio e as dummies Bahia, Maranhão, Pará, Piauí e Tocantins. Além disso, a capacidade de aprendizagem e técnica dos agricultores foi fundamental para a consolidação do processo de expansão agrícola, sendo eles, vistos como os empresários capazes de colocar em prática as mudanças técnicas aplicadas ao setor agrícola no Norte e Nordeste brasileiro.
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Marinelli, Marco Antonio. "Modelling and communicating the effects of spatial data uncertainty on spatially based decision-making." Thesis, Curtin University, 2011. http://hdl.handle.net/20.500.11937/1842.
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Important economic and environmental decisions are routinely based on spatial/ temporal models. This thesis studies the uncertainty in the predictions of three such models caused by uncertainty propagation. This is considered important as it quantifies the sensitivity of a model’s prediction to uncertainty in other components of the model, such as the model’s inputs. Furthermore, many software packages that implement these models do not permit users to easily visualize either the uncertainty in the data inputs, the effects of the model on the magnitude of that uncertainty, or the sensitivity of the uncertainty to individual data layers. In this thesis, emphasis has been placed on demonstrating the methods used to quantify and then, to a lesser extent, visualize the sensitivity of the models. Also, the key questions required to be resolved with regards to the source of the uncertainty and the structure of the model is investigated. For all models investigated, the propagation paths that most influence the uncertainty in the prediction were determined. How the influence of these paths can be minimised, or removed, is also discussed.Two different methods commonly used to analyse uncertainty propagation were investigated. The first is the analytical Taylor series method, which can be applied to models with continuous functions. The second is the Monte Carlo simulation method which can be used on most types of models. Also, the later can be used to investigate how the uncertainty propagation changes when the distribution of model uncertainty is non Gaussian. This is not possible with the Taylor method.The models tested were two continuous Precision Agriculture models and one ecological niche statistical model. The Precision Agriculture models studied were the nitrogen (N) availability component of the SPLAT model and the Mitscherlich precision agricultural model. The third, called BIOCLIM, is a probabilistic model that can be used to investigate and predict species distributions for both native and agricultural species.It was generally expected that, for a specific model, the results from the Taylor method and the Monte Carlo will agree. However, it was found that the structure of the model in fact influences this agreement, especially in the Mitscherlich Model which has more complex non linear functions. Several non-normal input uncertainty distributions were investigated to see if they could improve the agreement between these methods. The uncertainty and skew of the Monte Carlo results relative to the prediction of the model was also useful in highlighting how the distribution of model inputs and the models structure itself, may bias the results.The version of BIOCLIM used in this study uses three basic spatial climatic input layers (monthly maximum and minimum temperature and precipitation layers) and a dataset describing the current spatial distribution of the species of interest. The thesis investigated how uncertainty in the input data propagates through to the estimated spatial distribution for Field Peas (Pisum sativum) in the agriculturally significant region of south west Western Australia. The results clearly show the effect of uncertainty in the input layers on the predicted specie’s distribution map. In places the uncertainty significantly influences the final validity of the result and the spatial distribution of the validity also varies significantly.
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Segarra, Eduardo. "A dynamic analysis of the crop productivity impacts of soil erosion: an application to the Piedmont area of Virginia." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/51930.
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This study was born out of the desire to analyze the complex soil management problem faced by individual economic agents as well as society. The focus of this study, however, was on the theoretical formulation and estimation of partial equilibrium dynamic economic models directed toward optimizing the private use of the soil resource. In particular, four empirical representative farm models were formulated.
Solutions to the four representative farm models showed that sizable reductions in topsoil loss, which contributes to non-point source pollution, and aggravates the crop productivity impacts of soil erosion, can be accomplished by adopting alternative support practices. Because of the change in support practices, reductions in the present value of net returns are expected, but this decrease in return was found to be minimal when compared to reductions in topsoil loss. Policy implications as well as several policy recommendations stemming from those results, with respect to soil conservation, are outlined and analyzed.Ph. D.
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Parker, Joseph Lynn. "Beyond Sustainable Bounds: Changing Weather, Emigration, and Irrigation in a Farming Village of Sichuan, China, 1945-2012." PDXScholar, 2013. http://pdxscholar.library.pdx.edu/open_access_etds/1514.
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This thesis presents the results of research in a small village located in the mountains of Sichuan Province in southwestern China. The thesis argues that traditional irrigation practices vital to paddy-rice production in the village have been stressed by local weather events. It also argues that local villagers have not responded effectively to such changes, and that failure to adjust has contributed to social stress observed at the site.
During the earlier years of the study period (1945 to 2012), improvements were made in local irrigation, which seem to have helped farmers continue with traditional subsistence wet-rice farming in a fragile mountain environment. However, in later years of the period village social order showed two significant signs of collapse: first, because of emigration, fewer people were left to farm higher mountain levels so farm land was being abandoned; second, social crowding in lower level riverside farming areas, partly the result of highland emigration, began reducing the amount of land being farmed there. While reducing intensive cropping of highland farming areas can result in spontaneous recovery of natural resources such as soil and water, crowding in lower areas can contribute to deterioration of natural resources in the lower village farmland. Crowding can, in addition, have a bearing on community health problems.
The thesis results are of value to researchers concerned with the adaptive behavior of local farming communities trying to maintain their traditional irrigation-dependent way of life in a fragile mountain environment while experiencing the effects of changeable weather. Thesis results are of additional value to those who study the impact on society of earth-warming, especially if variable local weather in the Dabashan is shown to be related to global climate change.
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Ferro, Aline Barrozo. "Comportamento dos preços de terras em região de fronteira agrícola e em áreas tradicionais." Universidade Federal de São Carlos, 2012. https://repositorio.ufscar.br/handle/ufscar/2147.
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Previous issue date: 2012-03-29This study aims to evaluate the impact of some factors on prices of agricultural land in three different regions: agricultural frontier (in the south of Maranhão, south of Piauí, eastern region of Tocantins and west of Bahia), transition area (relatively recent agricultural use of the land; however, it already represents a major soybean producing region, such as the Central-Western region in Brazil) and developed (more traditional agricultural areas, such as the South of Brazil). The period of the analysis is from 2002 to 2010, due to the recent availability of prices of regional lands. Several studies regarding the land market were analyzed; consequently, some factors related to the revenue obtained with land, to the technological level, to the infrastructure, to the need of credit, to the availability of land to expand crops and to one factor linked to expectations of agents. The elasticity in relation to the land price was obtained, using the econometric model of panel data. Soybean prices, which represent the revenue of land, had a positive relation with the price of this factor. Moreover, it was possible to verify that, in less occupied regions, an increase in the demand for area may bring negative impacts on its prices, because of the higher elasticity of the land supply and the possibility to convert raw lands and pastures in agricultural areas. This occurs because the land conversion shifts the supply curve to the right, which might impact negatively the land price. On the other hand, in the developed area, the relation is positive, since the land supply is almost inelastic. The factor of speculation was very important in the agricultural frontier region, differently from what was observed in other regions, which has highlighted the sharp interest of investors groups interested in the potential of the land valuation in that region in the period considered.
O presente estudo tem como objetivo analisar o impacto de algumas variáveis sobre o preço da terra agrícola em três regiões distintas: fronteira agrícola (localizada no sul do Maranhão, sul do Piauí, leste do Tocantins e oeste da Bahia), área de transição (com exploração agrícola relativamente recente, mas que já representa um grande pólo produtor de soja, como o Centro-Oeste) e desenvolvida (áreas agrícolas mais tradicionais, como o Sul do País). O período de análise foi de 2002 a 2010, em virtude da recente disponibilidade de preços de terras regionais. Tendo sido analisados diversos trabalhos referentes ao mercado de terras, foram selecionadas algumas variáveis relacionadas à renda da terra, ao nível tecnológico, à infraestrutura, à necessidade de crédito de subsídio, à disponibilidade de terras para expansão do cultivo e a um fator relacionado às expectativas dos agentes. Foram obtidas as elasticidades em relação ao preço da terra utilizando-se o modelo econométrico de dados em painel. Observou-se que o preço da soja, que representa a renda da terra, teve relação estreita e positiva com o preço deste fator. Além disso, foi possível verificar que nas regiões menos ocupadas, um aumento da demanda por área pode impactar negativamente em seu preço, tendo em vista a maior elasticidade da oferta de terras e a possibilidade de conversão de terras brutas e pastagens em áreas agrícolas. Isso ocorre porque a conversão de terras possibilita um deslocamento da curva de oferta para a direita, o que pode proporcionar um impacto negativo no preço da terra. Já na região desenvolvida, a relação é positiva, já que a oferta de terras é praticamente inelástica. O fator especulativo foi bastante representativo na região de fronteira agrícola, ao contrário do observado nas demais regiões, o que evidenciou o forte interesse por grupos investidores com interesse no potencial de valorização da terra nessa região no período analisado.
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Jeanty, Pierre Wilner. "Two essays on environmental and food security." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1164833528.
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Tokoyama, Yuki. "Three essays on Japanese household food consumption." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180272913.
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Enlow, Sierra J. "AN EXAMINATION OF CORPORATE AGRIBUSINESS FINANCIAL PERFORMANCE: HOW AGRIBUSINESSES PERFORM OVER TIME AND UNDER VARIOUS CONDITIONS." UKnowledge, 2012. http://uknowledge.uky.edu/agecon_etds/9.
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While several studies examine the managerial structure of privately owned agribusinesses, few studies take a comprehensive look at publically traded agribusiness firms. Our study examines the historical position of agribusiness compared to the market, and then studies the impact of the global economic and financial crisis. The objective of this study is to pinpoint effects of corporate financial management strategies, commonly researched in financial literature on agribusiness firms’ performance. Through utilizing a quantile regression we find that agribusiness position in times of financial crisis is directly related to firm performance. As we examine internal factors, several interesting impacts of managerial factors emerge. These results are useful for agribusiness firms seeking to improve their performance, as we show which management strategies related to capital structure, and firm size are associated with an increase in profitability based on the performance record of the agribusiness. Additionally, we examine how these factors impact internal financial distress of the agribusiness firms. Our conclusions clarify the impact of traditional financial management techniques on agribusiness firms and lead to questions for further research. Ultimately, the presented research provides a foundational knowledge of corporate agribusinesses financial performance.
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Hendriks, Joseph. "An analysis of precision agriculture in the South African summer grain producing areas / Hendriks J." Thesis, North-West University, 2011. http://hdl.handle.net/10394/7318.
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Both globally and locally, agriculture faces ever increasing challenges such as high input costs, strict environmental laws, decrease in land for cultivation and an increase in demand due to the growing global population. Profitability and sustainability requires more effective production systems. Precision agriculture is identified as such a system and is built upon a system approach that aims to restructure the total system of agriculture towards low input, high efficiency and sustainable agriculture.
The aim of this study was to analyse the state of precision agriculture in the summer grain producing areas of South Africa, specifically the North West and Free State provinces. In order to achieve this, a literature study was conducted. During the literature study the term ‘precision agriculture’ was defined and discussed. The precision agriculture cycle and its components were explained and benefits of precision agriculture were identified. The literature study was concluded with identifying and discussing the most widely used and most beneficial technologies as well as reasons for slow adoption.
Findings from the literature study were used to investigate the state of precision agriculture locally. In order to achieve this, a quantitative approach was used and information was collected by means of an empirical study using a questionnaire. Questionnaires were distributed to farmers using selling agents of an agricultural company that is well represented in the targeted areas. The data was then statistically analysed.
The survey showed that only 52% of summer grain producing farmers in the North West and Free State provinces of South Africa practises precision agriculture as defined in the
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literature study. The study also revealed that the majority of precision agriculture farmers are over the age of 40, have more than 16 years of farming experience, are well educated, cultivate more than 1,000 hectares and uses none or little irrigation. The most commonly used precision agriculture technologies were grid soil sampling and yield monitors. The perception among most of the farmers was that precision technologies are not very affordable, not easily available and that it lacks proper testing with regards to efficiency. The group of summer grain–producing farmers that have correctly implemented precision agriculture as per definition stated that the benefits they derived from precision technologies include reduction in input costs, increased outputs and improved management skills. Too high implementation costs and technologies not providing enough benefits were among the main reasons farmers do not implement precision agriculture.
It was concluded that a significant effort and amount of work is needed to increase the use of precision agriculture among summer grain–producing farmers in the targeted areas. A consolidated effort from government, agricultural institutions and agricultural companies will be needed to achieve this goal. Implementing precision agriculture as a system will require education (from primary to tertiary institutions) and improved marketing strategies. Only then will precision technologies be able to help meet the future demands placed on the agriculture sector.Thesis (M.B.A.)--North-West University, Potchefstroom Campus, 2012.