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Auswahl der wissenschaftlichen Literatur zum Thema „Farm financing“
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Zeitschriftenartikel zum Thema "Farm financing"
Omobitan, Omobolaji, und Aditya R. Khanal. „Examining Farm Financial Management: How Do Small US Farms Meet Their Agricultural Expenses?“ Journal of Risk and Financial Management 15, Nr. 3 (10.03.2022): 133. http://dx.doi.org/10.3390/jrfm15030133.
Der volle Inhalt der QuelleDodson, Charles B., Bruce L. Ahrendsen und Gianna Short. „Does use of nontraditional credit increase risk?“ Agricultural Finance Review 82, Nr. 2 (20.01.2022): 359–78. http://dx.doi.org/10.1108/afr-06-2021-0085.
Der volle Inhalt der QuelleGao, Xin, Hong Chen, Yuyi Chen, Yuyang Feng, Zixuan Cai und Hong Cheng. „Suggestions to Alleviate the Financing Risks of Family Farmers: Based on the Investigation Report of Pig Farmers in Jiulongshan Town, Kaizhou District, Chongqing“. Financial Forum 9, Nr. 2 (14.07.2020): 87. http://dx.doi.org/10.18282/ff.v9i2.876.
Der volle Inhalt der QuelleAppiah-Twumasi, Mark, Samuel A. Donkoh und Isaac Gershon Kodwo Ansah. „Farmer innovations in financing smallholder maize production in Northern Ghana“. Agricultural Finance Review 80, Nr. 3 (30.12.2019): 421–36. http://dx.doi.org/10.1108/afr-05-2019-0059.
Der volle Inhalt der QuelleLuo, Ying, Tianyu Deng, Qiang Wei, Guoan Xiao und Qihui Ling. „Optimal Financing Decision in a Contract Food Supply Chain with Capital Constraint“. Complexity 2021 (09.07.2021): 1–17. http://dx.doi.org/10.1155/2021/8925102.
Der volle Inhalt der QuelleThilmany, Dawn, Allison Bauman, Joleen Hadrich, Becca B. R. Jablonski und Martha Sullins. „Unique financing strategies among beginning farmers and ranchers: differences among multigenerational and beginning operations“. Agricultural Finance Review 82, Nr. 2 (09.12.2021): 285–309. http://dx.doi.org/10.1108/afr-05-2021-0070.
Der volle Inhalt der QuellePasaribu, S. M., B. Sayaka, A. de Braw, S. H. Suhartini und F. B. M. Dabukke. „Agricultural value chain financing: a case study in Ciamis District, West Java Province“. IOP Conference Series: Earth and Environmental Science 892, Nr. 1 (01.11.2021): 012095. http://dx.doi.org/10.1088/1755-1315/892/1/012095.
Der volle Inhalt der QuelleFitriana, Widya. „LEMBAGA KEUANGAN MIKRO SYARIAH: EKSISTENSI DAN AKSESIBILITASNYA BAGI PEMBIAYAAN USAHATANI DI SUMATERA BARAT (Studi Kasus: Koperasi Jasa Keuangan Syariah (KJKS) Baitul Maal Wat Tamwil (BMT))“. Jurnal Agribisnis Indonesia 4, Nr. 2 (01.12.2016): 149. http://dx.doi.org/10.29244/jai.2016.4.2.149-162.
Der volle Inhalt der QuelleRojas, Adrián. „Diseño de un sistema de análisis financiero de modelos de finca para proyectos de desarrollo rural.“ Agronomía Mesoamericana 7, Nr. 2 (02.06.2016): 63. http://dx.doi.org/10.15517/am.v7i2.24761.
Der volle Inhalt der QuelleSaragih, Faoeza Hafiz. „PEMBIAYAAN SYARIAH SEKTOR PERTANIAN“. JURNAL AGRICA 10, Nr. 2 (31.10.2017): 112. http://dx.doi.org/10.31289/agrica.v10i2.1458.
Der volle Inhalt der QuelleDissertationen zum Thema "Farm financing"
Lagerkvist, Carl Johan. „Essays on the user cost of capital and financing of the agricultural firm /“. Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://epsilon.slu.se/avh/1999/91-576-5720-3.pdf.
Der volle Inhalt der QuelleDunaway, Tarrah M. „Farm Financial Performance of Kentucky Farms“. UKnowledge, 2013. http://uknowledge.uky.edu/agecon_etds/13.
Der volle Inhalt der QuelleZouharová, Marie. „Podnikatelský záměr“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223626.
Der volle Inhalt der QuelleMackovík, Jaroslav. „Podnikatelský záměr-restrukturalizace živočišné výroby v zemědělském podniku“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241464.
Der volle Inhalt der QuelleFlorey, Barrie H. W. „Appraising farm business financial performance indicators“. Thesis, Bangor University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417259.
Der volle Inhalt der QuelleNewkirk, Kevin J. „Financial performance comparison for ABC Farm“. Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/19692.
Der volle Inhalt der QuelleDepartment of Agricultural Economics
Michael Langemeier
This thesis had two objectives. One objective was to compare one northeast Kansas farm's financial performance from 2002 through 2011 to various groups of farms participating in the Kansas Farm Management Association (KFMA) during the same period. The second objective was to compare the crop acreage growth trends of the same northeast Kansas farm from 2002 through 2011 to the same groups of farms participating in the KFMA. In this thesis the northeast Kansas farm was referred to as ABC Farm. The purpose of this thesis was to provide ABC Farm's owners and management with information that could be used to formulate long-term goals for ABC Farm and to help identify strategies for achieving those goals. ABC Farm's 10-year financial performance was compared to six different KFMA member groups using 12 different financial measures or ratios. The KFMA groups included all NE region farms, NE region farms in the highest value of farm production (VFP) category, STATE irrigated crop farms, NE region farms in the highest net farm income quartile, NE region farms in the highest crop acreage category, and NE region farms in the lowest adjusted total expense ratio quartile. The 12 financial measures or ratios included VFP, net farm income, adjusted total expense ratio, operating profit margin ratio, asset turnover ratio, percent return on assets, VFP per worker, total crop acres farmed, crop machinery investment per crop acre, crop machinery cost per crop acre, current ratio, and debt to asset ratio. ABC Farm's 10-year average financial performance was better than the 10-year average of any KFMA group for most financial measures. ABC Farm's VFP, net farm income, operating profit margin ratio, VFP per worker, total crop acres, and current ratio were all higher than any KFMA group. ABC Farm's adjusted total expense ratio, crop machinery cost per crop acre, and debt to asset ratio were also lower than those of the various KFMA groups compared to. ABC Farm did not compare favorably to other KFMA groups for some of the financial measures. ABC Farm's average crop machinery investment per crop acre was higher than every group. ABC Farm's average asset turnover ratio was lower than every group. ABC Farm's average return on assets was lower than all but one group, all NE region farms.
Stabel, Jayce. „Farm financial persistence and characteristic analysis“. Thesis, Kansas State University, 2018. http://hdl.handle.net/2097/38798.
Der volle Inhalt der QuelleDepartment of Agricultural Economics
Terry Griffin
Farmers and agricultural lenders often seek the ability to identify positive or negative characteristics to improve farm operations. Determining these characteristics has been the goal of many research studies. More often than not, a unique set of uncontrollable events was credited for contributing the majority of one farm’s success relative to their peers. The goal of this study was to evaluate the assumption that farmers can control their financial persistence defined as remaining in their current financial category, based upon a farm’s debt to asset ratio (D/A), and net farm income per acre (NFI acre⁻¹). Financial categories give agricultural producers a concrete answer to the question of one farm’s ability to maintain their financial persistence during market downturns and poor growing conditions and include Favorable, Marginal Income, Marginal Solvency, and Vulnerable. Farmers across the United States are subject to many uncontrollable variables (temperature, precipitation, market volatility, land value fluctuations, interest rates) leaving them vulnerable to agricultural market downturns, such as the one that began in 2014. Seasonal cash inflows and outflows of farms and their profitability create a difficult situation for farmers and agricultural lenders alike to predict the future. Identifying and estimating the likelihood of financial persistence has become an area of interest for farmers, their advisors, and their financial lenders. Currently, agricultural lenders rely on loan assessment techniques, such as net present values and loss-based methods. These techniques fail to account for the unique and often long-term investment nature of farming. If an additional method for identifying at-risk farms or at least understanding the likelihood of persistence in farms could be found, it would provide an insight into the riskiness of lending to a farm and provide agricultural lenders with an additional analysis tool. The dynamic nature of farm financials and the ever-changing variables of farming limit traditional statistical methods. Considering the difficulty associated with predicting farm default rates due to the complexity of the question, a secondary approach is possible. This study utilized an approach in determining farm financial persistence by estimating the Markov Chain probabilities of four financial categories ranging from Favorable, solvent with positive income to Vulnerable, an insolvent and negative income financial position. Kansas Farm Management Association (KFMA) data from 1993 to 2014 were used to estimate the probability of transitioning between financial categories. This thesis combines transition probabilities of Kanas farms and a multinomial logit model (MNL) to identify farm characteristics of significance. The matrix of probabilities generated, when interpreted, provide information about Kansas farms and their probability of financial persistence, and the MNL model allows for insights into favorable or un-favorable farm characteristics. Farms were found to transition easily between financial categories that had the same debt to asset ratio (D/A), but different net farm income per acre (NFI acre⁻¹, positive or negative) indicating that farm income is more easily changed than farm D/A ratios. Farms in the Favorable category (D/A < 0.4, + NFI acre⁻¹) had the largest probability of financial persistence at 0.83, whereas Vulnerable farms (D/A > 0.4, - NFI acre⁻¹) were most likely to transition to the Marginal Solvency category (D/A > 0.4, + NFI acre⁻¹) with a probability of transitioning of 0.55 versus the probability of remaining in the Vulnerable category of 0.33. It was also found that crop mixture and age were not statistically significant in the MNL model, but gross profit margin and a farm’s percentage of owned land out of total crop acres were statistically significant in explaining why farms were in each category.
Jette-Nantel, Simon. „Implications of Off-Farm Income for Farm Income Stabilization Policies“. UKnowledge, 2013. http://uknowledge.uky.edu/agecon_etds/15.
Der volle Inhalt der QuelleVictoria, Vanessa Francesca Villanueva. „Impacts of Best Management Practices on Farm Financial Performance“. Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/36192.
Der volle Inhalt der QuelleMaster of Science
TEIXEIRA, FERNANDO ORMONDE. „FINANCIAL OPTIMIZATION OF A WIND FARM IN THE BRAZILIAN ENERGY MARKET“. PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=29477@1.
Der volle Inhalt der QuelleCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
Investigam-se modelos econométricos que sejam capazes de efetuar uma previsão mensal de vento em um parque eólico no Ceará. São testados modelos da família ARMA que consigam capturar a sazonalidade inerente ao movimento das massas de ar e que tragam benefícios aos empreendimentos eólicos localizados no Brasil e na região. Para tal, a previsão de vento é transformada em previsão de geração de energia. Em seguida, é elaborada uma metodologia para encontrar a melhor estratégia de ação a qual maximize o resultado da empresa tendo-se como meta o lucro e restrições de Value at Risk (VaR) e Conditional Value at Risk (CVaR). Os possíveis resultados de geração de energia são simulados concomitantemente com a simulação de preços de liquidação (PLD).
We investigate econometric models that are capable of predicting the wind speed in a wind farm located in the state of Ceará, Brazil. ARMA models are tested to try to capture the seasonality inherent to the wind and that bring benefits to the firms operating wind farms in the region. Wind is converted in power generation to allow predictions to be more precise. Then, a methodology is created to find the best strategy, the one that maximizes the firm s profit. An optimization is made with VaR and CVaR as constraints. The simulated results of power generation are then put together with a simulation of liquidation s price (PLD).
Bücher zum Thema "Farm financing"
Cañeda, Leo C. A guide to farm financing. Manila: Agricultural Credit Policy Council, Dept. of Agriculture, 1989.
Den vollen Inhalt der Quelle findenRalph, Chite, und Library of Congress. Congressional Research Service, Hrsg. Farm commodity programs: Financing and costs. [Washington, D.C.]: Congressional Research Service, Library of Congress, 1993.
Den vollen Inhalt der Quelle findenKershen, Drew L. Farm products financing and filing service. Boston: Warren, Gorham & Lamont, 1990.
Den vollen Inhalt der Quelle finden1944-, Gurdev Singh, National Bank for Agriculture and Rural Development., Indian Institute of Management, Ahmedabad. und National Consultation on Marketing of Non-farm Products (1991 : Indian Institute of Management, Ahmedabad), Hrsg. Non-farm rural products: Marketing and financing. New Delhi: Oxford & IBH Pub. Co., 1994.
Den vollen Inhalt der Quelle findenReenen, M. J. Van. Farm management: Financing, investment, and human resources management. Hatfield, Pretoria: JL van Schaik Academic, 1995.
Den vollen Inhalt der Quelle findenFinancing the family farm to the year 2000. [Ottawa]: Standing Senate Committee on Agriculture and Forestry, 1988.
Den vollen Inhalt der Quelle findenFreshwater, David. New approaches to financing long-term farm debt. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, 1987.
Den vollen Inhalt der Quelle findenDharmawan, Arya-Hadi. Farm income and financing in rural Indonesia: A case study from West Kalimantan. Aachen: Alano, 1994.
Den vollen Inhalt der Quelle findenP, Olsen J., und Walden Luke, Hrsg. The Narcotic Farm. New York: Abrams, 2008.
Den vollen Inhalt der Quelle findenKuzin, V. F. Rentnye otnoshenii͡a︡ i khozraschet v selʹskom khozi͡a︡ĭstve. Moskva: Ėkonomika, 1987.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Farm financing"
Koomson, Isaac, und Muazu Ibrahim. „Financial Inclusion and Growth of Non-farm Enterprises in Ghana“. In Financing Sustainable Development in Africa, 369–96. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78843-2_14.
Der volle Inhalt der QuelleMusah-Surugu, Justice Issah, und Samuel Weniga Anuga. „Remittances as a Game Changer for Climate Change Adaptation Financing for the Most Vulnerable: Empirical Evidence from Northern Ghana“. In Remittances as Social Practices and Agents of Change, 343–67. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-81504-2_15.
Der volle Inhalt der QuelleOlson, Kent, und John Westra. „Financial Analysis“. In The Economics of Farm Management, 212–48. 2. Aufl. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003280712-13.
Der volle Inhalt der QuelleOlson, Kent, und John Westra. „Financial Management“. In The Economics of Farm Management, 249–71. 2. Aufl. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003280712-14.
Der volle Inhalt der QuelleOlson, Kent, und John Westra. „Financial Statements“. In The Economics of Farm Management, 193–211. 2. Aufl. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003280712-12.
Der volle Inhalt der QuelleLeistritz, F. Larry, und Freddie L. Barnard. „Financial Characteristics of Farm Operators“. In Beyond the Amber Waves of Grain, 53–69. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429046643-4.
Der volle Inhalt der QuelleHarbaugh, Isabel. „Overcoming Financial Barriers“. In Smallholders and the Non-Farm Transition in Latin America, 34–53. New York: Palgrave Macmillan US, 2014. http://dx.doi.org/10.1057/9781137487162_3.
Der volle Inhalt der QuelleBryant, Lia. „Social Aspects of the Farm Financial Crisis“. In Agriculture, Environment and Society, 157–72. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-15165-3_9.
Der volle Inhalt der QuelleBurpee, Gaye, und Kim Wilson. „8. Going to market: support in selling farm products; Banking on the family: financial services to farm families“. In The Resilient Family Farm, 120–39. Rugby, Warwickshire, United Kingdom: Practical Action Publishing, 2004. http://dx.doi.org/10.3362/9781780445786.008.
Der volle Inhalt der QuelleMoss, Charles B., Jaclyn D. Kropp und Maria Bampasidou. „The financial economics of agriculture and farm management“. In The Routledge Handbook of Agricultural Economics, 689–712. New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315623351-37.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Farm financing"
Narayan, Dr S. K. „Re-developing, Of Farm Athenaeum And Materialize Automation: Ultimatum And Occasion“. In CONTEMPORARY SCIENTIFIC RESEARCH: CURRENT ISSUES, ACHIEVEMENTS AND INNOVATIONS. The USA Journals, 2020. http://dx.doi.org/10.37547/iscrc-intconf01-01.
Der volle Inhalt der QuelleVlaev, Milen. „PURCHASE ARABLE LAND WITH FINANCING INSTRUMENT - THE KEY COMPONENT FOR SUSTAINABLE DEVELOPMENT OF FARM“. In SUSTAINABLE LAND MANAGEMENT - CURRENT PRACTICES AND SOLUTIONS 2019. University publishing house "Science and Economics", University of Economics - Varna, 2021. http://dx.doi.org/10.36997/slm2019.82.
Der volle Inhalt der QuelleWang, Xiao, Jingru Sun und Yanhong Wu. „Research on the Innovation of “Cloud Financing” Mode of Family Farm from the Perspective of Agricultural Industry Chain“. In 2021 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2021. http://dx.doi.org/10.1109/iwcmc51323.2021.9498817.
Der volle Inhalt der QuelleMelchionda, Mariano. „Leasing benefits in global economy“. In International Scientific-Practical Conference "Economic growth in the conditions of globalization". National Institute for Economic Research, 2023. http://dx.doi.org/10.36004/nier.cecg.i.2023.17.7.
Der volle Inhalt der QuelleStade, Ekkehard. „The Experiences From the First Rounds of Offshore Wind Farm Installation in the German EEZ (Both Baltic and North Sea) and Lessons Learnt to Achieve Serial Production Status: A Consultant’s Perspective“. In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24682.
Der volle Inhalt der QuelleKing, Carey W., Jay Zarnikau und Phil Henshaw. „Defining a Standard Measure for Whole System EROI Combining Economic “Top-Down” and LCA “Bottom-Up” Accounting“. In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90414.
Der volle Inhalt der QuelleShelley, Steffen Allan, Sung Youn Boo, William H. Luyties und D. Todd Griffith. „How Texas Can Become the Leader in Offshore Wind in North and South America by Using New Technology and Leveraging Existing Infrastructure and Expertise“. In Offshore Technology Conference. OTC, 2023. http://dx.doi.org/10.4043/32282-ms.
Der volle Inhalt der QuelleDudzinska, Małgorzata. „The Performance of Agricultural Land Management Work in the Context of Needs, Illustrated with an Example of Agricultural Land Consolidations“. In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.186.
Der volle Inhalt der QuelleRadivojevic, Dušan, Biljana Veljkovic und Ranko Koprivica. „NORMATIVI PROIZVODNJE NA FARMAMA MUZNIH KRAVA“. In SAVETOVANJE o biotehnologiji sa međunarodnim učešćem. University of Kragujevac, Faculty of Agronomy, 2021. http://dx.doi.org/10.46793/sbt26.177r.
Der volle Inhalt der QuelleSpiridonova, E. V., und K. V. Trofimova. „Project Targeted Financing Sources: Russian Practice“. In International Scientific Conference "Far East Con" (ISCFEC 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200312.071.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Farm financing"
Ianchovichina, Elena, Thomas Hertel und Robert McDougall. The East Asian Economic Crisis: It's not All Bad News. GTAP Working Paper, September 2000. http://dx.doi.org/10.21642/gtap.wp11.
Der volle Inhalt der QuelleLusardi, Annamaria, und Olivia Mitchell. Planning and Financial Literacy: How Do Women Fare? Cambridge, MA: National Bureau of Economic Research, Januar 2008. http://dx.doi.org/10.3386/w13750.
Der volle Inhalt der QuelleBASCHE, A. D. Tank Waste Remediation System (TWRS) Financial Analysis for Phase 1 Privatization for the Tank Farm Contractor. Office of Scientific and Technical Information (OSTI), April 2000. http://dx.doi.org/10.2172/802979.
Der volle Inhalt der QuelleLonghurst, Daniel, und Rachel Slater. Financing in Fragile and Conflict Contexts: Evidence, Opportunities, and Barriers. Institute of Development Studies, Dezember 2022. http://dx.doi.org/10.19088/basic.2022.015.
Der volle Inhalt der QuelleGao, Xin, Aiko Kikkawa und Jong Woo Kang. Evaluating the Impact of Remittances on Human Capital Investment in the Kyrgyz Republic. Asian Development Bank, Mai 2021. http://dx.doi.org/10.22617/wps210189-2.
Der volle Inhalt der QuelleFerrara, Anthony, und Sara Abdulla. Financing “The New Oil”: Assessing AI Investment in Israel and the Broader Middle East. Center for Security and Emerging Technology, Mai 2023. http://dx.doi.org/10.51593/20230002.
Der volle Inhalt der QuelleTodd, Jessica E., Christine Whitt, Nigel David Key und Okkar Mandalay. overview of farms operated by socially disadvantaged, women, and limited resource farmers and ranchers in the United States. Washington, D.C.: Economic Research Service, U.S. Department of Agriculture, Februar 2024. http://dx.doi.org/10.32747/2024.8254670.ers.
Der volle Inhalt der QuelleWenner, Mark D. Lessons Learned in Rural Finance: The Experience of the Inter-American Development Bank. Inter-American Development Bank, Oktober 2002. http://dx.doi.org/10.18235/0008854.
Der volle Inhalt der QuelleSalazar, Lina, Alessandro Maffioli, Julián Aramburu und Marcos Agurto Adrianzen. Estimating the Impacts of a Fruit Fly Eradication Program in Peru: A Geographical Regression Discontinuity Approach. Inter-American Development Bank, März 2016. http://dx.doi.org/10.18235/0012282.
Der volle Inhalt der QuelleBland, Gary, Lucrecia Peinado und Christin Stewart. Innovations for Improving Access to Quality Health Care: The Prospects for Municipal Health Insurance in Guatemala. RTI Press, Dezember 2017. http://dx.doi.org/10.3768/rtipress.2017.pb.0016.1712.
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