自然资源学报

自然资源学报 ›› 2006, Vol. 21 ›› Issue (5): 717-726.doi: 10.11849/zrzyxb.2006.05.005

• 资源经济 • 上一篇    下一篇

区域人均基本农田需求面积测算模型及应用——以江苏省为例

钟太洋1,2, 黄贤金1, 马其芳1, 刘杨1   

  1. 1. 南京大学城市与资源学系,南京210093;
    2. 江西农业大学国土资源与环境学院,南昌330045
  • 收稿日期:2006-02-13 修回日期:2006-05-08 出版日期:2006-10-25 发布日期:2006-10-25
  • 通讯作者: E-mail:hxj369@nju.edu.cn E-mail:E-mail:hxj369@nju.edu.cn
  • 作者简介:钟太洋（1976），男，江西于都人，讲师，博士研究生，主要从事自然资源与环境经济方面的研究。E-mail:taiyangzhong@163.com
  • 基金资助:

    教育部新世纪人才支持计划(NCET-05-0451);国家自然科学基金资助项目(70373029);国家软科学研究计划(2005DGS3B027);中国土地勘测规划院“工业化路径下土地节约集的利用研究”及江苏省土地利用总体规划专题研究

Theoretical Model and Its Application of Regional Per Capita Basic Farmland Area:A Case Study of Jiangsu Province

ZHONG Tai-yang1,2, HUANG Xian-jin1, MA Qi-fang1, LIU Yang1   

  1. ⒈Department of Urban and Resources Sciences,Nanjing University,Nanjing 210093,China;⒉College of Land Resource and Environment,Jiangxi Agricultural University,Nanchang 330045,China
  • Received:2006-02-13 Revised:2006-05-08 Online:2006-10-25 Published:2006-10-25

PDF (PC)

赞

摘要： 为估计一定区域内基本农田保护面积,论文在探讨基本农田涵义的基础上,提出了区域人均基本农田需求面积的计算模型。该模型综合考虑了城乡居民对农产品的消费、复种指数、粮食作物播种面积比例、单产水平以及城市化水平等因素。以江苏省为例,计算1985—2004年江苏省城乡居民人均粮食消耗总当量。在此基础上,计算1985—2004年江苏省人均基本农田需求面积以及估计2005—2020年江苏省人均基本农田需求面积。结果表明,1985—2004年之间,江苏省人均基本农田需求面积平均值为0.054hm2,考虑在外饮食情况时,该值为0.059hm2;2005—2020年之间江苏省人均基本农田需求面积平均值为0.057hm2。

关键词: 资源经济学, 人均基本农田测算, 需求模型, 耕地保护

Abstract: For the purpose of calculating basic farmland to be protected in a specific region,this paper discussed the meaning of basic farmland,and defined regional per capita BFA farmland area(BFA).The paper believed that the regional per capita BFA was a function which included independent variables such as living standard,technology development level,per unit area yield,and natural calamity.Given that,the model to compute the regional per capita BFA was built.The model included parameters such as residents' consumption,multiple-cropping index,the sown acreage proportion of grain crops,per unit area yield,and urbanization level.The relations between these independent variables and the regional per capita BFA were also analyzed in this paper.This paper showed that the regional per capita BFA had positive correlations with residents'consumption level and degree of grain self-sufficency,and negative correlations with multiple-cropping index,the sown acreage proportion of grain crops,and per unit area yield.However the relation between the regional per capita BFA and urbanization level was up to the ratio of urban household's consumption to rural household's consumption.Taking Jiangsu Province as an example,this paper calculated the annual per capita grain consumption equivalent of Jiangsu Province from 1985 to 2004.For the purpose of increasing accuracy,the results from 1991-1998 were adjusted by the ratio of residents'food away-from-home expenditure to aggregate food expenditure,which would influence the residents' consumption of produce dependent on cultivated land.It is found out that the annual per capita grain consumption including direct and indirect consumption from 1985 to 2004 tended to be stable,and the average values of the annual per capita grain consumption equivalent of urban household and rural household were respectively 284kg and 356kg.The paper also found that the change of the annual grain consumption equivalent of Jiangsu Province from 1991 to 1998 adjusted by the rate of residents' food away-from-home expenditure was comparatively even,and the average values were respectively 361.46kg and 391.35kg.Furthermore,this paper calculated the value of per capita BFA in Jiangsu Province from 1985 to 2004,estimated the value of per capita BFA in Jiangsu Province from2005 to 2020,and analyzed the impact of multiple-cropping index and the sown acreage proportion of grain crops on the regional per capita BFA.The results show that the average value of per capita BFA of Jiangsu Province from 1985 to 2004 is 0.054 ha without consideration of the food consumption away-from-home,which is 0.059ha if the food consumption away-from-home is included,and 0.057 ha from2005 to 2020 when the influence of food consumption away-from-home is considered.

Key words: resource economics, calculation of per capita basic farmland area, demand model, cultivated land conservation