Methods of Evaluating Agrometeorological Risks and Uncertainties for Estimating Global Agricultural Supply and Demand

Author(s):  
Keith Menzie
2017 ◽  
Vol 49 (3) ◽  
pp. 400-415
Author(s):  
TRENT T. MILACEK ◽  
B. WADE BRORSEN

AbstractPast research shows that prices move in response to World Agricultural Supply and Demand Estimates (WASDE) reports immediately prior to and after a report. This research develops trading models based on knowing the next WASDE report in advance. This should help traders evaluate investments to predict information contained within the report and in determining how best to use such forecasts. The price-forecasting models use regressions against the ratios of ending stocks to use. Results show a steady increasing return to trading over the report month. The highest returns are produced by trading during the growing and harvest seasons.


Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 53
Author(s):  
Phan Thuy Kieu ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen ◽  
Thanh Phong Ho

Logistics is an important service sector, contributing to improving the competitiveness of the economy. Therefore, along with increasing the application of technology and effective business models, it is necessary to increase the connectivity of the infrastructure systems of industrial parks, roads, and seaports of regions and the country. Over the past decades, Vietnamese businesses have been step-by-step going through many stages from production, packaging, quality, hygiene, and safety to grasping new stages in the domestic and global value chain. In many industries, businesses are increasing the content of their own designs, exploiting brands, and approaching consumption networks in the target market. The role of the distribution center is becoming more and more important in ensuring a seamless and flawless supply chain. In particular, the distribution center is the most sensitive contact point between supply and demand in each enterprise. Therefore, the key mission of a distribution center is to reconcile supply and demand requirements. Distribution center location selection problems usually involve multiple quantitative and qualitative criteria that the decision maker must take into account for assessing the symmetrical impact of the criteria to reach the most accurate result. In this study, the authors propose a hybrid MCDM model based on Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm to support the distribution location selection problem of perishable agricultural products. The proposed model is then applied to the numerical case study of the sweet potato product of the Mekong Delta region of Vietnam to demonstrate the feasibility of the model. The contribution of this research is to propose an MCDM model for improving the efficiency of the agricultural supply chain through selecting a location distribution center. This proposed model can be applied to the agricultural supply chain around the world.


2008 ◽  
Vol 40 (01) ◽  
pp. 89-103 ◽  
Author(s):  
Olga Isengildina-Massa ◽  
Scott H. Irwin ◽  
Darrel L. Good ◽  
Jennifer K. Gomez

The purpose of this study was to examine the impact of situation and outlook information from World Agricultural Supply and Demand Estimates (WASDE) in corn and soybean futures markets over the period 1985 to 2006. Results indicate that WASDE reports containing National Agricultural Statistics Service (NASS) crop production estimates and other domestic and international situation and outlook information have the largest impact; causing return variance on report sessions to be 7.38 times greater than normal return variance in corn futures and 6.87 times greater than normal return variance in soybean futures. WASDE reports limited to international situation information and domestic and international outlook information have a smaller impact. The results show that the impact of WASDE reports has increased over time.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weiming Yang ◽  
Bingjun Li

PurposeThe purpose of this paper is to comprehensively and accurately analyze the supply and demand structural balance of grain in the context of China's agricultural supply-side reform. By subdividing and forecasting the supply and demand, it is beneficial for targeted production in the case of clear demand and supply trends of main grain varieties.Design/methodology/approachThis paper forecasted and analyzed the demand of main grain varieties by the grey interval forecast, and based on the grey incidence analysis of more influence factors, forecasted the grain production with GM (1,N) model.FindingsThe results show that the demand and yield will keep sustainable growth in the next three years, while there is still a big gap between the supply and demand of the main grain varieties in China and the soybean's production is far behind the growing demand.Practical implicationsThis paper can make full use of the information to provide the evidence for government to formulate policies and put forward some correlative suggestions for growers.Originality/valueIn this paper, the grey model technology is applied to the structural reform of grain supply side, and different models are used to predict the structural balance of supply and demand of different kinds of grain. The study of grain supply and demand structural balance in China is vital to ensure grain security in the context of agricultural supply-side reform.


Author(s):  
Dawei Xu ◽  
Weiqi Wang ◽  
Liehuang Zhu ◽  
Ruiguang Li

AbstractAgriculture 4.0 is the era of integrating intelligent technologies in agriculture. Problems such as low informatization, food safety, high management cost and imbalance between supply and demand in agriculture have greatly hindered the development of agriculture. The various properties of blockchain technology can make up for the lack of agricultural mechanism, and the fusion of the two is a hot issue in the application of blockchain. Blockchain technology has already had some application cases in the field of agriculture. Based on the research status of Chinese and foreign scholars in this field, this paper firstly introduces the basic overview of blockchain. Then, with agricultural supply chain and agricultural product traceability as the core, it describes the application of blockchain technology in the agricultural field, and further explores solutions to different application problems. Finally, combined with the practical application of “agriculture + blockchain”, relevant Suggestions are proposed to provide reference for cross-disciplinary research.


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