Precificação no Agronegócio: Um Mapeamento Sistemático
DOI:
https://doi.org/10.36363/rever812019123-142Resumo
Na agricultura, a gestão de custo permite ao agricultor precificar seu produto levando-se em consideração fatores naturais, como condição do clima, do solo e localização da propriedade. Este artigo apresenta um mapeamento sistemático sobre a formação de preço na agricultura. Os objetivos do estudo são analisar se existem ferramentas automatizadas de custeio no contexto agrícola, além de verificar quais métodos de precificação e cultura foram aplicados em trabalhos publicados no período de trinta anos. A principal contribuição deste estudo é levantar informações acerca da gestão de custo no agronegócio para implementar um framework nesse contexto. O resultado da revisão mostrou que existem poucos métodos automatizados de gestão de custos na área agronômica. A pecuária é a atividade que mais apresenta métodos de precificação.
Downloads
Referências
ARKSEY, H., O’MALLEY, L. Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology: Theory and Practice, 2005.
AZEVEDO, P. F. d., POLITI, R. B. Concorrência e estratégias de precificação no sistema agroindustrial do leite, RESR pp. 767–802, 2008.
BATES, D. S. The crash of ’87: Was it expected? the evidence from options markets, Journal of Financial pp. 1009–1044,1991.
CREPALDI, S. A. Contabilidade gerencial, teoria e prática, Atlas, 1998.
EMEROLE, C. O., OSONDU, K. C., ANYIRO, O. C., ORJI, O. A. Trade enhancement characteristics of dessert banana fruits and estimates of transaction costs in okigwe metropolis, imo state nigeria, International Journal of Food and Agricultural Economics (1): 141–150, 2013.
FACKLER, P. L.,TIAN, Y. Volatility models for commodity markets, 1999.
GOMES, E., CEZAR, L. O papel das cooperativas da agricultura familiar no desenvolvimento de políticas públicas. Revista de Extensão e Estudos Rurais, 7(1), 166-186, 2018.
GONZÁLEZ-GÓMEZ, J. I., MORINI, S. A model for cost calculation and management in a multiproduct agricultural framework. the case for ornamental plants, Spanish Journal of Agricultural Research pp. 12–23, 2009.
HAMMER, J. The budgetary process with a use of modern approaches in cost management, ACTA UNIVERSITATIS AGRICULTURAE ET SILVICULTURAE MENDELIANAE BRUNENSIS, 2016.
KITCHENHAM, B. Procedures for performing systematic reviews. Joint Technical Report Software Engineering Group, 2004.
KITCHENHAM, B., CHARTERS, S. Guidelines for performing systematic literature reviews in software engineering. EBSE Technical Report, 2007.
LESHED, G., HUANG, M., Mansbach, L. Designing for transparency of cofee production costs, CHI EA ’18 Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2016.
LIEN, G., KOEKEBAKKER, S. Volatility and price jumps in agricultural futures prices – evidence from wheat options, American Journal of Agricultural Economics (4): 1018 1031, 2004.
LOPES, M. A., MORAES, F. d., CARVALHO, F. d. M., PERES, A. A. d. C., BRUHN, F. R. P., REIS, E. M. B. The effect of technological levels on profts of milk production systems participating in the “full bucket” program: a multicase study, Semina: Ciências Agrárias (4): 2909–2922, 2015.
NASIRA, G. M., HEMAGEETHA, N. Vegetable price prediction using datamining classi_cation technique, Proceedings of the International Conference on Pattern Recognition, Informatics and Medical Engineering., 2012.
MAFRA, S. N., TRAVASSOS, G. H. Estudos primários e secundários apoiando a busca por evidencia em engenharia de software. 2006.
MOREIRA, D., FERREIRA NETO, J., APARECIDA DE MOURA, R., HELENA TEIXEIRA, T. (2016). Desenvolvimento E Organização Territorial: Uma Análise Das Políticas De Gestão De Terras No Brasil E Na Galícia. Revista de Extensão e Estudos Rurais, 5(1).
PATAKI, J. Methodological aspects of an improvement of calculation information system in agricultural companies, AGRIC. ECON., pp. 130–133, 2012.
PETERSEN, K., MUJTABA, S., MATTSSON, M. Systematic mapping studies in software engineering, EASE’08 Proceedings of the 12th international conference on Evaluation and Assessment in Software Engineering pp. 68–77, 2008.
POPESKO, B., PAPADAKI, S., NOVÁK, P. Cost and reimbursement analysis of selected hospital diagnoses via activity-based costing, EM Economie and Management (3): 50–61, 2015.
RACUL, A., CIMPOIES, D. Land – price determinants using the spatial econometrics modeling in the moldavian real estate market, Management, Economic Engineering in Agriculture and Rural Development (4), 2012.
RAJA, S. K. S., RISHI, R., SUNDARESAN, E., SRIJIT, V. Demand based crop recommender system for farmers, 2017 IEEE International Conference on Technological Innovations in ICT For Agriculture and Rural Development (TIAR 2017).
RANOGAJEC, L., DEŽE, J., KARIC, M. Cost management functioning as a competitiveness of agricultural production, European Association of Agricultural Economists, 2007.
RICHARDS, T. J., EAVES, J., MANFREDO, M., NARANJO, S., CHU, C. C., HENNEBERRY, T. J. Spatialtemporal model of insect growth, di_usion and derivative pricing, Agricultural and Applied Economics Association p. 962–978, 2008.
SADOWSKI, A. Economic e_ciency of inputs of production factors in cost management context, Journal of Agribusiness and Rural Development pp. 123– 133, 2008.
SAITONE, T. L., FORERO, L. C., NADER, G. A., FORERO, L. E. Calf and yearling prices
in california and the western united states, CALIFORNIA AGRICULTURE (4), 2016.
SAVIC, B., VASILJEVIC, Z., ÐOR.EVIC, D. Strategic cost management as instrument for improving competitiveness of agribusiness complex, Economics of Agriculture, 2014
STAŠOVÁ, L. H., BAJUS, R. Costs of growing wheat and oilseed rape in slovakia and other v4 countries, Potravinarstvo Slovak Journal of Food Sciences (1): 685–695, 2017.
TUFA, A. H., LOMMEN, W. J. M., TSEGAYE, A., STRUIK, P. C., LANSINK, A. G. J. M. O. Least-cost seed potato production in ethiopia, Potato Research p. 277–300, 2015.
VULKINA, T., ANDERSON, J. L. Price forecasting with state-space models of nonstationary time series: Case of the Japanese salmon market, Computers Math. Applic. (5): 45– 62, 1994.
YE, L., LI, Y., LIANG, W., SONG, Q., LIU, Y., QIN, X. Vegetable price prediction based on pso-bp neural network, 2015 8th International Conference on Intelligent Computation Technology and Automation, 2015.
ZHANG, L., WANG, H., HU, Z., YANG, W. A discriminatory pricing model and simulation to different users of eastern route of the south-tonorth water transfers supply chain, 2009.
ZHANG, Y., HUANG, J. H. Cost-based pricing model with value-added tax and corporate income tax for a supply chain network, Applied Mathematical Modelling p. 168–180, 2014.
ZONG, J., ZHU, Q. Z. Apply grey prediction in the agriculture production price, 2012 Fourth International Conference on Multimedia Information Networking and Security.
