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Special Issue:
农业经济与管理合辑Agricultural Economics and Management
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| Research and application of real-time monitoring and early warning thresholds for multi-temporal agricultural products information |
XU Shi-wei1, 2, 3, 4, WANG Yu1, 3, 4, WANG Sheng-wei1, 2, 4, LI Jian-zheng2, 3, 4 |
1 Key Laboratory of Agricultural Information Service Technology of the Ministry of Agriculture and Rural Affairs, Beijing 100081, P.R.China
2 Research Center of Agricultural Monitoring and Early Warning Engineering Technologies, Beijing 100081, P.R.China
3 Key Open Laboratory of Intelligent Agricultural Early Warning Technologies and Systems, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
4 Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China |
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Abstract Monitoring and early warning is an important means to effectively prevent risks in agricultural production, consumption and price. In particular, with the change of modes of national administration against the background of big data, improving the capacity to monitor agricultural products is of great significance for macroeconomic decision-making. Agricultural product information early warning thresholds are the core of agricultural product monitoring and early warning. How to appropriately determine the early warning thresholds of multi-temporal agricultural product information is a key question to realize real-time and dynamic monitoring and early warning. Based on the theory of abnormal fluctuation of agricultural product information and the research of substantive impact on the society, this paper comprehensively discussed the methods to determine the thresholds of agricultural product information fluctuation in different time dimensions. Based on the data of the National Bureau of Statistics of China (NBSC) and survey data, this paper used a variety of statistical methods to determine the early warning thresholds of the production, consumption and prices of agricultural products. Combined with Delphi expert judgment correction method, it finally determined the early warning thresholds of agricultural product information in multiple time, and carried out early warning analysis on the fluctuation of agricultural product monitoring information in 2018. The results show that: (1) the daily, weekly and monthly monitoring and early warning thresholds of agricultural products play an important early warning role in monitoring abnormal fluctuations with agricultural products; (2) the multi-temporal monitoring and early warning thresholds of agricultural product information identified by the research institute can provide effective early warning on current abnormal fluctuation of agricultural product information, provide a benchmarking standard for China’s agricultural production, consumption and price monitoring and early warning at the national macro level, and further improve the application of China’s agricultural product monitoring and early warning.
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Received: 05 June 2020
Accepted:
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| Fund: The Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS-ASTIP-2020-AII-02) is appreciated for supporting this study. |
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Corresponding Authors:
Correspondence XU Shi-wei, Tel: +86-10-82109902, E-mail: xushiwei@caas.cn
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Cite this article:
XU Shi-wei, WANG Yu, WANG Sheng-wei, LI Jian-zheng.
2020.
Research and application of real-time monitoring and early warning thresholds for multi-temporal agricultural products information. Journal of Integrative Agriculture, 19(10): 2582-2596.
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Adl S, Iron D, Kolokolnikov T. 2011. A threshold area ratio of organic to conventional agriculture causes recurrent pathogen outbreaks in organic agriculture. Science of the Total Environment, 409, 11.
Chen J Z, Wang S, Zhang L L, Lü G A. 2007. Response of maize to progressive drought and red soil’s drought threshold. Scientia Agricultura Sinica, 40, 532–539. (in Chinese)
Deng L. 2017. Agricultural product supply chain price risk generation mechanism and early warning mode. Agricultural Economy, (06), 127–128. (in Chinese)
Dong Z Q, Pan Z H, An P L, Wang J L, Zhang J T, Zhang J, Pan Y Y, Huang L, Zhao H, Han G L, Fan D L, Wu D, He Q J, Pan X B. 2019. A quantitative method for determining the impact threshold of climate change for agriculture. Theoretical and Applied Climatology, 135, 425–431. (in Chinese)
Du J F, Yuan Z Y. 2013. Review of the research on threshold calculation of cultivated land protection in China. Geography and Geo-Information Science, 6, 45–50. (in Chinese)
Du W J. 2009. Policy differences of agricultural production technical efficiency. The Journal of Quantitative & Technical Economics, 9, 107–118. (in Chinese)
Fabio G S, Antonio C. 2012. The entry price threshold in EU agriculture: Deterrent or barrier? Journal of Policy Modeling, 34, 5.
Heather C, Thomas W, Carol S, Valeria O, Gustavo V, Peter B. 2016. Impacts to agriculture and critical infrastructure in Argentina after ashfall from the 2011 eruption of the Cordón Caulle volcanic complex: An assessment of published damage and function thresholds. Journal of Applied Volcanology, 5, 1.
Hu Y Z, Wang Z X, Zhou B, Jiang S Q. 2019. Analysis of specific water level of flood control and threshold value of rainfall warning for small- and medium-sized rivers. Journal of China Hydrology, 39, 27–32. (in Chinese)
Jian W Q. 2017. Theory and application of threshold panel data model. Ph D thesis, University of Science and Techonolgy, China. (in Chinese)
Jin Y J, Han X N. 2019. Research and prospect of China’s agricultural product price index. Statistics & Information Forum, 34, 3–9. (in Chinese)
Kenny G J, Warrick R A, Campbell B D, Sims G C, Camilleri M, Jamieson P D, Mitchell N D, McPherson H G, Salinger M J. 2000. Investigating climate change impacts and thresholds: An application of the CLIMPACTS integrated assessment model for New Zealand agriculture. Climatic Change, 46, 1–2.
Liu Y L, Li Y, Zhang Y R, Zhang W A, Jiang T M. 2016. Effect of long-term fertilization on the P balance and critical value of soil olsen-P in paddy soil from yellow earth. Scientia Agricultura Sinica, 10, 1903–1912. (in Chinese)
Lu C, Xia Y X, Li Yan, Chen F B, Wang C P, Niu Y S. 2019. Two parameters underground sound early warning model based on sliding steps and warning thresholds. Coal Mining Technology, 24, 104–109. (in Chinese)
MEWECMARA (Market Early Warning Expert Committee of Ministry of Agriculture and Rural Affairs, China). 2019. China Agricultural Outlook (2019–2028). China Agricultural Science and Technology Press, Beijing. (in Chinese)
Nadeem M, Tanveer A, Khaliq A, Farooq N, Abbas T. 2018. Interference and estimation of economic threshold level of Alternanthera philoxeroides in maize (Zea mays L.). Maydica, 63, 3.
Peng C Y, Yang J S. 2019. Real-time estimation of potentially damaged zone for earthquake early warning based on thresholds of P-wave parameters. Acta Seismologica Sinica, 41, 354–365.
Piot J C. 1989. Swiss agriculture at the threshold of the year 2000. Schweizer Archiv fuer Tierheilkunde, 131, 56–59.
Song C X, Les O, Ma H Y. 2018. What determines irrigation efficiency when farmers face extreme weather events? A field survey of the major wheat producing regions in China. Journal of Integrative Agriculture, 17, 1888–1899.
Song C X, Liu R F, Les O, Ma H Y. 2019. Do farmers care about climate change? Evidence from five major grain producing areas of China. Journal of Integrative Agriculture, 18, 1402–1414.
Su P, Shan L. 1996. Study of water requirement during seed germination and seedling establishment of maize seeds. Acta Botanica Boreali-Occidentalia Sinica, 16, 34–37. (in Chinese)
Tang J Q, Lei N, Yin J. 2017. Price fluctuation, transmission and early-warning of agricultural product in Fujian. Journal of Fujian Agriculture and Forestry University (Philosophy and Social Sciences), 20, 6–13. (in Chinese)
Vahid K, Ezatollah K, Marzieh K. 2018. Climate change and agriculture: Impacts and adaptive responses in Iran. Journal of Integrative Agriculture, 17, 1–15.
Wang M H. 2001. Possible adoption of precision agriculture for developing countries at the threshold of the new millennium. Computers and Electronics in Agriculture, 30, 45–50. (in Chinese)
Williams M R, Livingstion S J, Heathman G C, McAfee S J. 2019. Thresholds for run-off generation in a drained closed depression. Hydrological Processes, 33, 2408-2421.
Wilson G V, Nieber J L, Fox G A, Dabney S M, Ursic M, Rigby J R. 2017. Hydrologic connectivity and threshold behavior of hillslopes with fragipans and soil pipe networks. Hydrological Processes, 31, 2477–2496.
Xia M J, Jiang W L. 2007. On safety threshold of agricultural water resources based on food security in river basins. Research of Agricultural Modernization, 28, 210–213. (in Chinese)
Xiong W, Lin E D, Ju H, Xu Y L. 2005. A study of the threshold of climate change impact on food production in China. Advances in Climate Change Research, 1, 84–87. (in Chinese)
Xu S W. 2014. Agricultural big data and monitoring and early warning of agricultural products. Journal of Agricultural Science and Technology, 16, 14–20. (in Chinese)
Xu S W, Li G Q, Li Z M. 2015. China agricultural outlook for 2015–2024 based on China Agricultural Monitoring and Early-warning System (CAMES). Journal of Integrative Agriculture, 14, 1889–1902.
Xu S W, Wu J Z, Song W, Li Z Q, Li Z M, Kong F T. 2013. Spatial-temporal changes in grain production, consumption and driving mechanism in China. Journal of Integrative Agriculture, 12, 374–385.
Yang C W, Tong X H, Lian J, He H W, Gao M M. 2019. Research on warning threshold value optimization and responding strategy of earthquake early warning for high-speed railway. Journal of the China Railway Society, 41, 88–94. (in Chinese)
Yuan H M. 2019. Using radiosonde data to determine warning thresholds of three types of strong convective weather in Hohhot area. Meteorological Science and Technology, 47, 476–485. (in Chinese)
Zhai S Y, Song G X, Qin Y C, Ye X Y, Leipnik M . 2018. Climate change and Chinese farmers: Perceptions and determinants of adaptive strategies. Journal of Integrative Agriculture, 17, 949–963.
Zhao D F, Du X X, Wang Y L. 2016. Asymmetry transmission of grain price - based on the empirical research of threshold asymmetric error correction model. Prices Monthly, 466, 17–23. (in Chinese)
Zhao H , Wang R Y, Shang Y, Wang H L, Zhang K, Zhao F N, Qi Y, Chen F. 2016. Progress and perspectives in studies on responses and thresholds of major food crops to high temperature and drought stress. Arid Meteorology, 34, 1–12. (in Chinese)
Zhao R Y, Yang X C. 2008. Establishment and application of early-warning models of agricultural product price risks - based on BP artificial neural network. Research of Agricultural Modernization, 29, 172–175. (in Chinese)
Zheng Y, Ma J. 2016. Agricultural prices early warning based on difference between supply and demand of agricultural products associated with short-term price fluctuations - A case study of Beijing tomatoes. Agricultural Economics and Management, 39, 81–89. (in Chinese)
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