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Journal of Integrative Agriculture  2015, Vol. 14 Issue (9): 1889-1902    DOI: 10.1016/S2095-3119(15)61149-2
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China agricultural outlook for 2015–2024 based on China Agricultural Monitoring and Early-warning System (CAMES)
 XU Shi-wei, LI Gan-qiong, LI Zhe-min
1、Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
2、Key Laboratory of Agricultural Information Service Technology, Beijing 100081, P.R.China
3、Key Laboratory of Digital Agricultural Early-warning Technology and System, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
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摘要  The primary goal of Chinese agricultural development is to guarantee national food security and supply of major agricultural products. Hence, the scientific work on agricultural monitoring and early warning as well as agricultural outlook must be strengthened. In this study, we develop the China Agricultural Monitoring and Early-warning System (CAMES) on the basis of a comparative study of domestic and international agricultural outlook models. The system is a dynamic and multi-market partial equilibrium model that integrates biological mechanisms with economic mechanisms. This system, which includes 11 categories of 953 kinds of agricultural products, could dynamically project agricultural market supply and demand, assess food security, and conduct scenario analysis at different spatial levels, time scale levels, and macro-micro levels. Based on the CAMES, the production, consumption, and trade of the major agricultural products in China over the next decade are projected. The following conclusions are drawn: i) The production of major agricultural products will continue to grow steadily, mainly because of the increase in yield. ii) The growth of agricultural consumption will be slightly higher than that of agricultural production. Meanwhile, a high self-sufficiency rate is expected for cereals such as rice, wheat, and maize, with the rate being stable at around 97%. iii) Agricultural trade will continue to thrive. The growth of soybean and milk imports will slow down, but the growth of traditional agricultural exports such as vegetables and fruits is expected to continue.

Abstract  The primary goal of Chinese agricultural development is to guarantee national food security and supply of major agricultural products. Hence, the scientific work on agricultural monitoring and early warning as well as agricultural outlook must be strengthened. In this study, we develop the China Agricultural Monitoring and Early-warning System (CAMES) on the basis of a comparative study of domestic and international agricultural outlook models. The system is a dynamic and multi-market partial equilibrium model that integrates biological mechanisms with economic mechanisms. This system, which includes 11 categories of 953 kinds of agricultural products, could dynamically project agricultural market supply and demand, assess food security, and conduct scenario analysis at different spatial levels, time scale levels, and macro-micro levels. Based on the CAMES, the production, consumption, and trade of the major agricultural products in China over the next decade are projected. The following conclusions are drawn: i) The production of major agricultural products will continue to grow steadily, mainly because of the increase in yield. ii) The growth of agricultural consumption will be slightly higher than that of agricultural production. Meanwhile, a high self-sufficiency rate is expected for cereals such as rice, wheat, and maize, with the rate being stable at around 97%. iii) Agricultural trade will continue to thrive. The growth of soybean and milk imports will slow down, but the growth of traditional agricultural exports such as vegetables and fruits is expected to continue.
Keywords:  agricultural outlook       projection       China Agricultural Monitoring and Early-warning System (CAMES)       agricultureof China  
Received: 29 December 2014   Accepted:
Fund: 

This research was supported by the National Natural Science Foundation of China (71303238) and the National Science and Technology Support Plan Projects (2012BAH20B04). We thank the compilation group of the China Agricultural Outlook Report (2015–2024) for providing the relevant materials.

Corresponding Authors:  XU Shi-wei, E-mail: xushiwei@caas.cn     E-mail:  xushiwei@caas.cn

Cite this article: 

XU Shi-wei, LI Gan-qiong, LI Zhe-min. 2015. China agricultural outlook for 2015–2024 based on China Agricultural Monitoring and Early-warning System (CAMES). Journal of Integrative Agriculture, 14(9): 1889-1902.

ABARES (Australian Bureau of Agricultural and ResourceEconomics and Sciences). 2014. Agricultural Commodities.ABARES, Canberra.Brown L R. 1995. Who Will Feed China? Wake-Up Call for aSmall Planet. W. W. Norton & Company, New York.

Chen D T. 1977. The Wharton agricultural model: Structure,specification and some simulation results. American Journalof Agricultural Economics, 59, 107-116

Chen X K, Wang H J. 2010. Some important applications ofinput-occupancy-output technique. Chinese Journey ofManagement, 7, 1737-1748 (in Chinese)

Chen X K, Yang C H. 2002. Characteristic of agriculturalcomplex giant system and national grain output prediction.Systems Engineering-Theory & Practice, 6, 108-112 (inChinese)

Chen Y F. 2004. Food Supply Demand and Projection in China.China Agriculture Press, China. (in Chinese)

CNFIA (China National Food Industry Association). China FoodIndustry Yearbook. Zhonghua Book Company, Beijing,China. (in Chinese)

DAPMOAC (Department of Animal Production of MOA ofChina). 2005-2014

 China Feed Industry Yearbook.Chinese Agriculture Press, Beijing, China. (in Chinese)

Egbert A C.1969. An aggregative model of agriculture: Empiricalestimates and some policy implications. American Journalof Agricultural Economics, 51, 71-86

ERS (Economic Research Service). 1994. The CountryProjections and Policy Analysis Model Builder: An Overviewof Its Users and Features. Economic Research Service,USDA.

Francois J F, Hall H K.1997. Simple general equilibriummodeling. In: Francois J F, Reinert K A, eds., AppliedMethods for Trade Policy Analysis. Cambridge UniversityPress, USA.

Freebairn J W, Rausser G C, de Gorter H. 1982. Food andagriculture sector linkages to the international and domesticmacroeconomies. In: Rausser G C, ed., New Directions inEconometric Modeling and Forecasting in U.S. Agriculture.Chapter 17. North-Holland, New York. pp. 503-545

GACC (General Administration of Customs of China). 2014.China Customs Statistics Yearbook. China Customs Press,Beijing, China. (in Chinese)

Hertel T (ed). 1997. Global Trade Analysis: Modeling andApplications. Cambridge University Press, USA.

Hjort K, Peteghem P V. 1991. The CPPA Model-Builder:Technical Structure and Programmed Options in Version1.3. ERS, U.S. Department of Agriculture, Staff Report No.AGES 9144.

Huang J K, Li N H. 2003. China’s agricultural policy simulationand projection model—CAPSiM. Journal of NanjingAgricultural University (Social Science Edition), 3, 30-41(in Chinese)

Huang J K, Liu Y, Martin W, Rozelle S. 2009. Changes in tradeand domestic distortions affecting China’s agriculture. FoodPolicy, 34, 407-416

Huang J K, Rozelle S. 1998. China’s Grain Economy to theTwenty-first Century. China Agriculture Press, China. (inChinese)

IMF (International Monetary Fund). 2014a. Global FinancialStability Report. [2014-10-25]. http://www.imf.org/external/pubs/ft/gfsr/2014/02/index.htm

IMF (International Monetary Fund). 2014b. Global Prospectand Policy Challenges. [2014-09-30]. http://www.imf.org/external/np/g20/pdf/2014/091714.pdf

IMF (International Monetary Fund). 2014c. World EconomicOutlook. [2014-10-25]. http://www.imf.org/external/pubs/ft/weo/2014/02/

Lamp M V. 2010. The World Agricultural Trade SimulationSystem WATSIM: An Overview. [2010-10-18]. http://ageconsearch.umn.edu/bitstream/18788/1/dp980005.pdf

Lu W C, Qu H B. 2012. The Method innovation of systematicanalysis model in technical economics research. Journalof Xi’an Jiaotong University (Social Sciences), 32, 22-35(in Chinese)

Lu W C, Qi H B, Li Y L. 2011. The tendency of China’s grainsupply and demand under globalization. Journal of ZhejiangUniversity (Humanities and Social Sciences), 41, 5-18 (inChinese)

Malhar N, Papa N D. 2013. Enhancing China’s medium-termgrowth prospects: The path to a high-income economy.IMF Working Paper.

Meyers W, Devadoss S, Helmar M. 1986. Baseline projections,yield impacts and trade liberalization impacts for soybeans,wheat, and feed grains: A FAPRI trade model analysis.Working Paper No. 86-WP2. The Center for Agriculturaland Rural Development, University of Iowa, USA.

Mitchell D, Ingco M, Duncan R. 1997. The Word Food Outlook.Cambridge University Press, U.K.

MLR (Ministry of Land and Resource, China). 2014. NationalLand Resource Bulletin. [2015-04-03]. http://www.mlr.gov.cn/zwgk/zytz/201504/P020150422317433127066.pdf

MOA (Ministry of Agriculture of China). 2005-2014 ChinaAgriculture Yearbook. Chinese Agriculture Press, Beijing,China. (in Chinese)

MOA (Ministry of Agriculture of China). 2005-2014 ChinaDairy Yearbook. Chinese Agriculture Press, Beijing, China.(in Chinese)

MOA (Ministry of Agriculture of China). 2014. China AgriculturalDevelopment Report. Chinese Agriculture Press, Beijing,China. (in Chinese)

NBSC (National Bureau of Statistics of China). 2005-2014China Rural Statistics Yearbook. China Statistics Press,Beijing, China. (in Chinese)

NBSC (National Bureau of Statistics of China). 2005-2014China Statistical Yearbook. China Statistics Press, Beijing,China. (in Chinese)

NBSC (National Bureau of Statistics of China). 2005-2014China Yearbook of Rural Household Survey. ChinaStatistics Press, Beijing, China. (in Chinese)

NBSC (National Bureau of Statistics of China). 2014. ChinaPopulation Statistics Yearbook. China Statistics Press,Beijing, China. (in Chinese)

NBSC (National Bureau of Statistics of China). 2014. NationalEconomy and Society Development Statistical Bulletin ofthe People’s Republic of China. [2014-03-01]. http://www.stats.gov.cn/tjsj/zxfb/201402/t20140224_514970.html

NBSC (National Bureau of Statistics of China). 2014. PriceYearbook of China. China Statistics Press, Beijing, China.(in Chinese)

NDRC( National Development of Reform Commission of China).2005-2014 Compilation of Cost-benefit of AgriculturalProducts throughout the Country. China Statistics Press,China. (in Chinese)

OECD. 2013a. Agricultural Policy Monitoring and Evaluation2013. OECD, Paris.OECD. 2013b. Economic Outlook (No. 94). OECD. Paris.

OECD, FAO. 2013. Agricultural Outlook 2013-2022 OECD,Paris.Penson J

 B, Hughes D W. 1979. Incorporation of generaleconomic outcomes in economic projection models foragriculture. American Journal of Agricultural Economics,61, 151-157

Quance L, Tweeten L.1972. Excess capacity and adjustmentpotential in U.S. agriculture. Agricultural EconomicsResearch, 24, 57-66

Robinson S, Kilkenny M, HansonK. 1990. The USDA/ERSCGE Model of the United States. Staff Report No. AGES9049. Agriculture and Rural Economy Division, ERS, U.S.Department of Agriculture.

Roningen V. 1986. A Static World Policy Simulation (SWOPSIM)Modeling Framework. Staff Report AGES 860625.Economic Research Service, US Department of Agriculture,Washington, D. C.

Roningen V O. 1997. Multi-market, multi-region partialequilibrium modeling. In: Francois J F, Reinert K A, eds.,Applied Methods for Trade Policy Analysis. CambridgeUniversity Press, USA.

Roop J M, Zeitner R H. 1977. Agricultural activity and thegeneral economy: Some macroeconomic experiments.American Journal of Agricultural Economics, 9, 117-125

Rosegrant M W, Meijer S, Cline S A. 2010. International modelfor policy analysis of agricultural commodities and trade(IMPACT): Model description. [2010-10-18]. http://www.ifpri.org/themes/impact/impactmodel.pdf

SAGC (State Administration of Grain of China). 2014. ChinaGrain Yearbook. Economic and Management Press, Beijing,China. (in Chinese)

Thompson W (ed). 2003. Applications of the AGLINK Model inPolicy Analysis in OECD, Agricultural Trade and Poverty:Making Policy Analysis Count. Organization for Economic,Paris. pp. 29-38

Tian W M. 1991. China agricultural price policy analysis model.Journal of Agrotechnical Economics, 4, 44-51 (in Chinese)

UN (Unites Nations). 2013. World Population Prospect (2012Revision). UN, New York.

USDA. 2014. USDA long-term agricultural projection to 2023.[2014-02-25]. http://www.ers.usda.gov/publications/oceusda-agricultural-projections/oce141.aspx

Xu S W (ed). 2003. Study on China’s Food Safety DevelopmentStrategy in the New Period. Shandong Science andTechnology Press, Jinan. (in Chinese)

Xu S W. 2013. Agricultural Information Analytics. HighEducation Press, China. (in Chinese)

Yang J, Liu B, Shang M L. 2006. Forecast of soybean importin China. Systems Engineering-Theory & Practice, 6,141-144 (in Chinese)

Yeh C J. 1976. Prices, farm outputs, and income projectionsunder alternative assumed demand and supply conditions.American Journal of Agricultural Economics, 58, 703-711

Yu W S, Jensen H G. 2010. China’s agricultural policy transition:Impact of recent reforms and future scenarios. Journal ofAgricultural Economics, 61, 343-368

Zhai F, Li S T, Feng S. 1999. Medium term prospects ofeconomic growth and structural change - A recursive ofdynamic CGE analysis. Systems Engineering-Theory &Practice, 2, 88-95 (in Chinese)

Zheng Y X, Fan M T. 1999. China CGE Model and PolicyAnalysis. Social Sciences Academic Press, China. (inChinese)
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