Academic literature on the topic 'Economics|Agricultural economics'

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Journal articles on the topic "Economics|Agricultural economics"

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Christy, Ralph D. "“Economic Correctness” and Agricultural Economics." Journal of Agricultural and Applied Economics 25, no. 1 (July 1993): 1–13. http://dx.doi.org/10.1017/s1074070800018551.

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AbstractThis address is directed toward applied economists as they provide information to private and public decision makers. Central to this discussion is the role of markets as institutions in achieving society's desired ends. Current “economic correctness”–the view that unfettered markets are superior in achieving efficiency, growth, and welfare-has attempted to return a larger role to the private sector, but the relative roles of market-oriented versus government-oriented solutions to problems are often not well appraised. Views presented herein calls for agricultural economists to move simultaneously toward an understanding of the strategic behavior of firms in imperfectly competitive markets and toward an adoption of policy analysis consistent with a socially complex and globally integrated economy.
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Duffy, Patricia A. "Agricultural Economics Series: Critical Concepts in Economics." American Journal of Agricultural Economics 93, no. 4 (July 2011): 1229–30. http://dx.doi.org/10.1093/ajae/aar041.

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Castle, Emery N. "Land, Economic Change, and Agricultural Economics." Agricultural and Resource Economics Review 32, no. 1 (April 2003): 18–32. http://dx.doi.org/10.1017/s1068280500002471.

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This paper analyzes in three contexts the effects of changing economic conditions and varying economic perspectives on the way land is considered in economic doctrine. The first considers agricultural land use where agriculture is connected to the rest of the economy exclusively through input and commodity markets, and when all other parts of the economy are assumed to remain constant. The second connects agriculture to the remainder of the economy by virtue of a shared natural environment, facilitating a discussion of natural resource and environmental economics in relation to agricultural, institutional, and land economics. The third context permits economic change in the entire economy with particular attention given to population density, space, and distance. Private and public decision making are discussed with attention to federal, state, and local division of powers.
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Martin, Will. "Economic growth, convergence, and agricultural economics." Agricultural Economics 50, S1 (November 2019): 7–27. http://dx.doi.org/10.1111/agec.12528.

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Abdulai, Awudu, and Ashok Mishra. "Agricultural Economics at 50: Scholarship of the global agricultural economics community." Agricultural Economics 51, no. 1 (December 2, 2019): 3–15. http://dx.doi.org/10.1111/agec.12537.

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CONACHER, H. M. "SCOPE OF AGRICULTURAL ECONOMICS." Journal of proceedings of the Agricultural Economics Society 7, no. 3 (November 5, 2008): 376–86. http://dx.doi.org/10.1111/j.1477-9552.1947.tb02196.x.

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Matthews, Alan. "PRINCIPLES OF AGRICULTURAL ECONOMICS." Agricultural Economics 6, no. 3 (February 1992): 287–88. http://dx.doi.org/10.1111/j.1574-0862.1992.tb00184.x.

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Klosky, Patricia. "Agricultural economics compact disk." Agricultural Economics 13, no. 3 (February 1996): 207–8. http://dx.doi.org/10.1111/j.1574-0862.1996.tb00390.x.

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Reid, E. P., and J. A. Dawson. "CANADIAN AGRICULTURAL ECONOMICS SOCIETY." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 2, no. 1 (November 13, 2008): 89–90. http://dx.doi.org/10.1111/j.1744-7976.1953.tb01260.x.

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Hagedorn, Konrad. "Institutions and Agricultural Economics." Journal of Economic Issues 27, no. 3 (September 1993): 849–86. http://dx.doi.org/10.1080/00213624.1993.11505458.

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Dissertations / Theses on the topic "Economics|Agricultural economics"

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Fontes, Francisco Pereira. "Essays in agricultural economics." Thesis, London School of Economics and Political Science (University of London), 2018. http://etheses.lse.ac.uk/3714/.

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This thesis explores topics in Agricultural Economics and is composed of five papers. In the first paper (Chapter 2), a latent-class stochastic frontier model is used to estimate efficiency scores of farmers in Ethiopia. Compared to conventional models, which assume a unique frontier, much lower inefficiencies are found, suggesting that part of the inefficiencies uncovered in the literature could be an artefact of the methods used. The second paper (Chapter 3) revisits the link between cereal diversity and productivity using a panel dataset in Ethiopia. The results suggest that the positive effect between cereal diversity and productivity becomes much smaller when households who produce teff (a low-productivity and high-value crop) are excluded from the sample, hinting at the possibility that results could be driven by yield differentials between cereals, rather than diversity. The third paper (Chapter 4) estimates the labour impacts of the adoption of Soil and Water Conservation technologies (SWC) in Ethiopia. The results suggest that adopting SWC technologies leads to an increase in adult and child labour. Understanding the labour impacts is important in itself, but it also raises concerns about using impact evaluation methods that require no change in inputs as an identifying assumption of impacts. Paper 4 (Chapter 5), assesses the pertinence of a drought index that has recently been proposed in the literature by Yu and Babcock (2010) and argues that it defines drought too narrowly. An extension to this index is proposed and we show, using a dataset of Indian districts, that the original index is likely to underestimate the impacts of drought. In Paper 5 (Chapter 6), we identify data-driven ranges of rainfall for which the marginal effects of a rainfall-temperature index (RTI) are different and then we discuss how the impacts of drought have changed over the 1966-2009 period in India. Finally, Chapter 7 concludes.
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Swartz, Alexander Ogden. "SPECIAL PROBLEMS IN AGRICULTURAL ECONOMICS." UKnowledge, 2019. https://uknowledge.uky.edu/agecon_etds/77.

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According to the USDA Economic Research service, farm-level prices are on the decline. This decline in prices particularly hurts smaller scale operators with many needing to rely on off-farm income in order to ensure they remain in operation. This thesis studies two problems of key interest to the Southeast region and the State of Kentucky by investigating dairy management practices and the environmental benefits of hemp production. As dairy prices have been on the decline and dairy co-ops have tightened their restrictions on somatic cell count (SCC) levels, dairy farmers and farm managers must decide the best course of action for maintaining milk quality in order to maintain their contract and profitability. Maintenance decisions as well as factors like sanitation and animal living conditions can all contribute to bulk tank SCC and depending on the type of incentives or penalties instituted by the co-op they can have an impact on net farm income. The objective of the dairy study is to determine which dairy management practices have the largest impact on SCC levels. Industrial hemp is produced worldwide. Historically, the major producers of hemp have been China, Europe, and Russia. In 2014, the passage of the Farm Bill opened the door to the production of Industrial hemp through the development of state pilot programs. Then the 2018 Farm Bill removed industrial hemp from the Scheduled Drug list. This has further expanded the opportunities and excitement for this crop. The plant’s versatility and the variety of products that can be made from it are coming to light. Sustainability is one of the key attributes touted concerning industrial hemp. Specifically, in the state of Kentucky, it is expected to be a replacement for tobacco and other traditional crops. However, how does the crop compare to tobacco production in terms of sustainability? The objective of the hemp study is to develop a life cycle analysis on the planting and harvesting of hemp and compare its impacts to more traditional crops.
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Littlefield, Joanne. "Western Agricultural Economics Association Distinguished Scholar." College of Agriculture, University of Arizona (Tucson, AZ), 2007. http://hdl.handle.net/10150/295904.

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Chen, Jianhua. "NEURAL NETWORK APPLICATIONS IN AGRICULTURAL ECONOMICS." UKnowledge, 2005. http://uknowledge.uky.edu/gradschool_diss/228.

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Neural networks have become very important tools in many areas including economic researches. The objectives of this thesis are to examine the fundamental components, concepts and theory of neural network methods from econometric and statistic perspective, with particular focus on econometrically and statistically relevant models. In order to evaluate the relative effectiveness of econometric and neural network methods, two empirical studies are conducted by applying neural network methods in a methodological comparison fashion with traditional econometric models.Both neural networks and econometrics have similar models, common problems of modeling and interference. Neural networks and econometrics/statistics, particularly their discriminant methods, are two sides of the same coin in terms of the nature of modeling statistic issues. On one side, econometric models are sampling paradigm oriented methods, which estimate the distribution of the predictor variable separately for each class and combine these with the prior probabilities of each class occurring; while neural networks are one of the techniques based on diagnostic paradigm, which use theinformation from the samples to estimate the conditional probability of an observation belonging to each class, based on predictor variables. Hence, neural network and econometric/statistical methods (particularly, discriminant models) have the same properties, except that the natural parameterizations differ.The empirical studies indicate that neural network methods outperform or are as good as traditional econometric models including Multiple Regression Analysis, Linear Probability Model (LPM), and Logit model, in terms of minimizing the errors of in-sample predictions and out-of-sample forecasts. Although neural networks have some advantages over econometric methods, they have some limitations too. Hence, neural networks are perhaps best viewed as supplements to econometric methods in studying economic issues, and not necessarily as substitutes.
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Brant, Molly D. "Asymptotically Ideal Model : applications to agricultural economics /." Search for this dissertation online, 2005. http://wwwlib.umi.com/cr/ksu/main.

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Vollenweider, Xavier. "Four essays in agricultural and development economics." Thesis, London School of Economics and Political Science (University of London), 2016. http://etheses.lse.ac.uk/3397/.

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In the first paper, I introduce a new framework to estimate household climate risk exposure based on a combination of climate and microeconomic data. I apply it to the Ethiopian Rural Household Survey (1994-2009) and find that households living at low altitudes are the most vulnerable to weather shocks. The second paper is based on a combination of open and double-blind randomized controlled trials (RCT) conducted in Tanzania in 2013 with 560 farmers. By comparing the results between the participants in the open and double-blind groups, we find that more than 50% of the total effect of improved seeds estimated in traditional open RCTs depends on farmers’ behaviour. The third paper, based on the RCT mentioned above (only the open one is used), tests the hypothesis that farmers try to escape forced solidarity when facing favourable conditions. We find that farmers having received the improved seeds decrease their number of social interactions. We interpret this as a sign that farmers seek to hide from the pressure to redistribute. In the fourth paper, I leave Africa for the Republic of Ireland and show that a large Irish agri-environmental scheme does not increase farmers’ risk exposure.
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Bowbrick, Peter. "A critique of Lancaster's approach to the economics of quality : an agricultural economics approach." Thesis, Brunel University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239098.

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Nadolnyak, Denis Alexandrovic Jr. "Three essays on the economics of agricultural biotechnology." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1058818716.

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Liu, Yan. "The economics of forest carbon offset trading: the design of an economic experiment." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=40740.

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The proposed Domestic Emission Trading System in Canada included an offset market that was expected to provide cost-efficient carbon offsets to the Large Final Emitters. The objective of this thesis was to design an economic experiment that incorporated this institutional design. The experimental design included both regulated and non-regulated sectors and is based on a “cap and trade” carbon emission model. Three markets are included in the experimental design: timber, carbon, and electricity. The electricity sector represents the regulated sectors with a carbon emission cap while the forestry sector represents the non-regulated sectors, i.e. they do not have a carbon emission cap. The decision making framework of the forestry sector is based on a joint-product model; i.e. timber and carbon. The price of carbon offset credits impacts both timber and electricity supply.
Le système d’échange de droits d’émission envisagé au Canada incluait un marché compensatoire qui devait fournir aux grands émetteurs finaux des crédits compensatoires pour le carbone rentables. L'objectif de cette thèse était de concevoir une expérience économique qui incluait cette conception institutionnelle. L'expérience a été conçue pour inclure des marchés réglementés et non-réglementés et elle est basée sur un modèle “cap and trade” d’échange d’émissions de carbone. Elle a été menée sur trois marchés : celui du bois, celui du carbone et celui de l’électricité. Le marché de l’électricité représente les marchés réglementés avec un cap sur émissions de carbone tandis que le secteur forestier représente les marchés non-réglementés, c.-à-d. il n’y a pas de cap sur émissions de carbone. Les décisions de production dans le secteur forestier sont basées sur un modèle de production conjoint ; c.-à-d. celui du bois et du carbone. Le prix des crédits compensatoires pour le carbone ont une influence sur l’offre de bois et d’électricité. La réglementation de l’émission du carbone est incorporée dans l’expérience en utilisant une courbe de l’offre coudée pour l’électricité. Les prévisions de la théorie et du comportement ont été faites en se basant sur les incitatifs proposés dans l’expérience ainsi que sur l’expérience d’expériences antérieures.
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Lai, Wangyang. "Three Essays on Agricultural Development and Environmental Economics in China." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1497433335706255.

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Books on the topic "Economics|Agricultural economics"

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W, Goodwin John, ed. Agricultural economics. 3rd ed. Boston: Prentice Hall, 2011.

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W, Goodwin John, ed. Agricultural economics. 2nd ed. Upper Saddle River, N.J: Prentice Hall, 2004.

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Drummond, H. Evan. Agricultural economics. 3rd ed. Upper Saddle River, NJ: Prentice Hall, 2011.

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Cramer, Gail L. Agricultural economics. Milton Park, Abingdon, OX: Routledge, 2010.

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Desai, Pranav K. Agricultural economics. Delhi: Biotech Books, 2010.

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Christy, Ralph D. "Economic correctness" and agricultural economics. Ithaca, N.Y: Dept. of Agricultural Economics, Cornell University Agricultural Experiment Station, New York State College of Agriculture and Life Sciences, Cornell University, 1993.

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Gerber, Warren. Applied agricultural economics. [Washington, D.C.?: Farmers Home Administration, 1991.

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Agricultural production economics. New York: Macmillan, 1986.

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Cramer, Gail L. Agricultural economics and agribusiness. 5th ed. Chichester: Wiley, 1991.

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Norton, George W. Economics of agricultural development. 2nd ed. New York, NY: Routledge, 2010.

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Book chapters on the topic "Economics|Agricultural economics"

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Runge, C. Ford. "Agricultural Economics." In The New Palgrave Dictionary of Economics, 170–82. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_655.

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Roche, Julian. "Agricultural economics." In Agribusiness, 49–64. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781351039741-2.

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Fox, Karl A. "Agricultural Economics." In The New Palgrave Dictionary of Economics, 1–13. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_655-1.

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Runge, C. Ford. "Agricultural Economics." In The New Palgrave Dictionary of Economics, 1–13. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_655-2.

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Zilberman, David, Justus Wesseler, Andrew Schmitz, and Ben Gordon. "Economics of agricultural biotechnology." In The Routledge Handbook of Agricultural Economics, 670–86. New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315623351-36.

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Roth, Lawrence O., and Harry L. Field. "Economics of Agricultural Machinery." In An Introduction to Agricultural Engineering: A Problem-Solving Approach, 111–34. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-1425-7_10.

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Roth, Lawrence O., and Harry L. Field. "Economics of Agricultural Machinery." In Introduction to Agricultural Engineering, 111–34. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3594-2_10.

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Field, Harry L., and John M. Long. "Economics of Agricultural Machinery." In Introduction to Agricultural Engineering Technology, 155–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69679-9_10.

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Shafer, Wade H. "Agricultural Economics, Sciences and Engineering." In Masters Theses in the Pure and Applied Sciences, 10–28. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5969-6_2.

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Shafer, Wade H. "Agricultural Economics, Sciences and Engineering." In Masters Theses in the Pure and Applied Sciences, 12–34. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2453-3_2.

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Conference papers on the topic "Economics|Agricultural economics"

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Torii, Daisuke, Toru Ishida, and Francois Bousquet. "Modeling agents and interactions in agricultural economics." In the fifth international joint conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1160633.1160643.

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Pirimbaev, Jusup, Dzhumabek Dzhailov, and Umet Momunov. "Economic Growth and Development Prospects of Agricultural Economics in Kyrgyzstan in Condition of Economic Integration." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01708.

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The evaluation of the current state of development of agrarian sector of the national economy and its competitiveness. Conceptual foundations of growth and development of the agricultural sector in the context of deepening integration. The recommendations for the strategic development of the sector in the framework of the Eurasian Economic Union. Particular attention is paid to the problems of reformatting the agricultural production structure, improve the regional and zonal specialization of agricultural production and the balanced development of agriculture. The directions of development of cooperation, integration links in a format forming a single food market. The mechanisms to improve the management system of competitive development of the agrarian economy of Kyrgyzstan.
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Yu, Shuang, Guang Li, and Yulian Ye. "Agricultural Economics Case Teaching and Effectiveness Evaluation based on Markov chain." In 2017 7th International Conference on Social science and Education Research (SSER2017). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/sser-17.2018.68.

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Chengyu, Zhang. "Notice of Retraction: Study on economics evaluation methodology of agricultural environmental effect." In 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5882453.

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"The Quality Optimization of Chinese Agricultural Economics Statistics under the Background of Rural Revitalization." In 2020 International Conference on Social Sciences and Social Phenomena. Scholar Publishing Group, 2020. http://dx.doi.org/10.38007/proceedings.0001058.

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Polikarpova, E. P., and I. E. Mizikovskiy. "Objectification of Losses in Accounting of Agricultural Organizations." In International Conference on Policicies and Economics Measures for Agricultural Development (AgroDevEco 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200729.054.

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Sokolova, E. V., and T. I. Zakharova. "Resource Potential for Sustainable Development of Agricultural Enterprises." In International Conference on Policicies and Economics Measures for Agricultural Development (AgroDevEco 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200729.064.

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Shamin, A., O. Frolova, V. Makarychev, I. Mitina, and A. Mitin. "Improving the Mechanism of State Support of Agricultural Producers." In International Conference on Policicies and Economics Measures for Agricultural Development (AgroDevEco 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200729.062.

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Zaitseva, O. P., D. R. Baetova, and L. N. Goncharenko. "Application of Digital Management Technologies in the Agricultural Insurance Sector." In International Conference on Policicies and Economics Measures for Agricultural Development (AgroDevEco 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200729.021.

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Lavlinskaya, A. L., O. M. Aleshchenko, Ye B. Panina, and I. V. Kuznetsova. "Formation of Effective Mechanism for Financial Recovery of Agricultural Organization." In International Conference on Policicies and Economics Measures for Agricultural Development (AgroDevEco 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200729.039.

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Reports on the topic "Economics|Agricultural economics"

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Martin, Will. Economic growth, convergence and agricultural economics. Washington, DC: International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133504.

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