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Production Distribution Analysis and Premiumrate Decision of Soybean in Heilongjiang Province(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2015年03期
Page:
507-511
Research Field:
Publishing date:

Info

Title:
Production Distribution Analysis and Premiumrate Decision of Soybean in Heilongjiang Province
Author(s):
YANG Xiao-juan; LIU Yuan;  BAI Wei;  LIU Bu-chun
Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences/National Engineering Laboratory of Efficient Water Use, Disaster Resistant and Mitigation of Crops/Key Laboratory of Agricultural Environment, Ministry of Agriculture, Beijing 100081, China.
Keywords:
Cultivated area;  Yield distribution model;  Premium
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2015.03.0507
Abstract:
The information of spatial and temporal distribution and premium of soybean .Symbol`@@were very useful for making planting and insurance policy, which could guarantee food security in the background of soybean sown area decreased sharply and natural disaster increased gradually in Heilongjiang. According to the data ofsoybean sown area and yield of 13 cities and ABR of Heilongjiang from 1993 to 2012, the spatial and temporal variation of soybean production were analyzed using statistics method and yield distribution model soybean premium of 14.The results indicated that the soybean sown area reached maximum in 2009, then continuing year-by-year sharp declines, and in 2012, the sown area was 2 600 thousand hectares, which was only 53.5% of 2009. Qiqihaer, Heihe and ARB werethe 3 main soybean planting areas accounting for 56.85% of, and the corresponding premium were 6.52%，3.96% and 2.29% in Qiqihar, Heihe and ARB, respectively. the soybean premium of Heilongjiang was in the range of 2.29%-8.79%，and the average was 5.06%. More consideration in the aspects of disaster prevention and financial subsidize needed to give Qiqiher due to the large sown area and high premium of soybean.

References:

［1］王克，张峭.农作物单产风险分布对保险费率厘定的影响—以新疆3县（市）棉花单产保险为例［J］.中国农业大学学报，2010,15(2):114-120。（Wang K, Zhang Q. Influence of flexible crop yield distributions on cropinsurance premium rate:A case study on cotton insurance in three counties of Xinjiang province［J］. Journal of China Agricultural University,2010,15(2):114-120）

［2］陈平.农作物保险的风险区划和费率精算研究［J］.黑龙江农业科学，2010(11):126-128（Cheng P. Study on risk zoning and premium rate making of crop insurance ［J］ Heilongjiang Agricultural Science, 2011,11:126-128）
［3］庹国柱，李军. 农业保险［M］.北京：中国人民大学出版社，2004（Tu G Z, Li J. Agriculture insurance ［M］. Beijing: China Renmin University Press, 2004）
［4］Botts R R, Boles J N. Use of normal-curve theory in crop insurance rate making［J］ Journal of Farm Economics, 1958, 40(3): 733-740.
［5］Day R H. Probability distributions of field crop yields［J］. Journal of Farm Economics, 1965, 47(3):713-741.
［6］Sherrick B J, Zanini F C, Schnitkey G D, et al. Crop insuranc evaluation under alternative yield distributions ［J］.American Journal of Agricultural Economics,2004, 86(2):406-419.
［7］Chen S L, Miranda M.Modeling multivariate crop yield densities with frequent extreme events ［C］. American Agricultural Economics Association Annual Meeting, Denver: 2004
［8］Nelson C H, Preckel P V.The conditional betadistribution as a stochastic production function ［J］.American Journal of Agricultural Economics, 1989, 71(2): 370-378.
［9］Gallagher P US. soybean yields: Estimation and forecasting withnonsymmetric disturbances ［J］. American Journal of Agricultural Economics, 1987, 69(4): 796-803.
［10］Zhu Y, Goodwin B K,Ghosh S K. Modeling yield risk under technological change: Dynamic yield distributions and the U-S- crop insurance program ［J］.Journal of Agricultural and Resource Economics, 2011, 36(1):192-210
［11］梁来存.核密度法厘定我国粮食保险纯费率的实证研究［J］.南京农业大学学报（社会科学版），2009,9(4):28-34.（Liang L C. An empirical study on the net premium rates calculation of grain in China based on kernel density estimator［J］. Journal of Nanjing Agricultural University (Social Sciences Edition), 2009,9(4): 28-34）
［12］Borman J I, Goodwin B K, Coble K, et al.Accounting for short samples and heterogeneous experience in rating crop insurance［J］. Agricultural Finance Review, 2013，73(1):88-101
［13］Zheng Q J, Wang H H, Shi Q H. Estimating bivariate yield distributions and crop insurance premiums using nonparametric methods ［J］. Applied Economics, 2014,46(18):2108-2118
［14］Goodwin B K, Mahul O.Risk modeling concepts relating to the design and rating of agricultural insurance contracts ［R］.World Bank Policy Research Working Paper, 2004, 3392:1-37
［15］王克，张峭.我国东北三省主要农作物生产风险评估［J］.农业展望,2008(7):23-29（Wang K, Zhang Q. Main crop production risk in Northeast China ［J］. Agricultural Outlook, 2008(7):23-29）
［16］Stephens M A. Tests of fit for the logistic distribution based on the empirical distribution function ［J］. Biometrita, 1979, 66(3): 591-595
［17］Lawas C P.Crop insurance premium rate impacts of flexible parametric yield distributions: An evaluation of Johnson family of distributions ［D］.Texas: Texas Tech University, 2005
［18］Makki S S, Somwaru A L.Asymmetric information in the market for yield and revenue insurance products ［G］. Economic Research Service, U-S- Department of Agriculture Technical Bulletin, 2001, 1892:1-33
［19］祖世亨，石剑，祖雪梅.黑龙江省旱涝灾害农业气候指标及地理分布区划［J］.自然灾害学报，1996,5(3): 116-122（Zu S H, Shi J, Zu X M.Agricultural climate index and zonation of drought and waterlogging in Heilongjiang province［J］.Journal of Natural Disasters, 1996, 5(3): 116-122）

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Last Update: 2015-07-16