大豆传统产区种植结构变化及影响因素的定量化评价——以黑龙江省嫩江县为例

董非非, 刘爱民, 封志明, 薛莉, 杨晓

自然资源学报 ›› 2017, Vol. 32 ›› Issue (1) : 40-49.

PDF(5132 KB)
PDF(5132 KB)
自然资源学报 ›› 2017, Vol. 32 ›› Issue (1) : 40-49. DOI: 10.11849/zrzyxb.20160177
资源利用与管理

大豆传统产区种植结构变化及影响因素的定量化评价——以黑龙江省嫩江县为例

  • 董非非1,2, 刘爱民1,*, 封志明1, 薛莉1,2, 杨晓1,2
作者信息 +

Changes of Planting Structure and Quantitative Evaluation of Influencing Factors in Traditional Soybean Producing Areas: Taking Nenjiang County in Heilongjiang Province as an Example

  • DONG Fei-fei1,2, LIU Ai-min1, FENG Zhi-ming1, XUE Li1,2, YANG Xiao1,2
Author information +
文章历史 +

摘要

东北地区,特别是黑龙江省是中国传统的大豆产区,其近年的种植结构变化导致国内大豆产量大幅度减少,而进口量持续增加,并已成为全球第一大豆进口国。为探究大豆传统产区种植结构变化现状及主要影响因素,论文以黑龙江省嫩江县为研究区,解译遥感影像分析其种植结构的演变过程,并以农户大豆种植意愿为因变量,对影响因素进行定量化评价。研究结果表明:1)2000年以来,研究区种植结构发生了较大调整,2000—2007年间,第四积温带大豆种植面积大幅度增加;2007—2014年第四、五积温带玉米种植面积大幅度增加,达到17.4×104 hm2,且有继续北扩趋势,而大豆北扩东移,2014年在粮食作物总播种面积中的比重较2000年减少27个百分点;2)目标价格政策对农户大豆种植意愿的影响度最大,达18.89%,其次大豆市场价格和轮作种植的影响度均达18.54%,大豆总投入的影响度为13.82%,其他因素影响度均在10%以下。国产大豆的竞争优势在于“非转基因”和“食用蛋白豆”,国家除了在政策上扶持大豆生产外,更重要的是要鼓励相关企业生产多样化的“非转基因”大豆制品,并严控转基因大豆进入食品领域,使加工企业和豆农获得合理溢价,通过市场机制提高大豆传统产区豆农的生产积极性。

Abstract

Northeast China, especially Heilongjiang Province, is a traditional soybean producing areas, where planting structure changes have resulted in decline in domestic soybean production. However, imports of soybean continued to rise in China, and China has become the world’s first soybean importer. To explore the planting structure changes and the main influencing factors in traditional soybean producing areas, this paper selected Nenjiang County as the study area. Firstly, interpreting TM/OLI images gave the changes of planting structure in this area; secondly, quantitative evaluation on the influence factors was made by taking soybean farmers’ willingness as dependent variable. The results show that: 1) The planting structure in the study area has greatly changed since 2000. Soybean acreage increased dramatically in the fourth accumulated temperature zone during 2000-2007. Maize planting area increased in the fourth and fifth accumulated temperature zones during 2000-2014, and has a tendency to continuously expand northward. Although soybean planting area expanded northward and eastward, its areal proportion in the total grain sown area decreased by 27% in 2014 compared to 2000. 2) The target price policy has the maximum influence on the willingness of farmers’ planting soybeans, accounting for 18.86%, followed by soybean price and crop rotation, which take 18.52%, and the impact of total investment of soybean accounts for 13.81%. The influences of other factors all count for less than 10%. The competitive advantages of domestic soybeans are “non-GMO” and “edible protein”. In addition to the policies for supporting soybean production, the country should take more important strategies to encourage the relevant enterprises to diversify the non-GMO soybean products, and strictly control the transgenic soybean in the field of food. These strategies enable reasonable premium for processing enterprises and soybean farmers and improve farmers’ production enthusiasm in traditional soybean producing area through market mechanism.

关键词

黑龙江嫩江县 / 影响度 / 种植结构 / 大豆

Key words

influencing degree / Nenjiang County in Heolongjiang Province / planting structure / soybean

引用本文

导出引用
董非非, 刘爱民, 封志明, 薛莉, 杨晓. 大豆传统产区种植结构变化及影响因素的定量化评价——以黑龙江省嫩江县为例[J]. 自然资源学报, 2017, 32(1): 40-49 https://doi.org/10.11849/zrzyxb.20160177
DONG Fei-fei, LIU Ai-min, FENG Zhi-ming, XUE Li, YANG Xiao. Changes of Planting Structure and Quantitative Evaluation of Influencing Factors in Traditional Soybean Producing Areas: Taking Nenjiang County in Heilongjiang Province as an Example[J]. JOURNAL OF NATURAL RESOURCES, 2017, 32(1): 40-49 https://doi.org/10.11849/zrzyxb.20160177
中图分类号: F326.12   

参考文献

[1] 中华人民共和国海关总署. http://www.customs.gov.cn [EB/OL]. [General Administration of Pustoms of the People , Republic of China. http://www.customs.gov.cn. ]
[2] 王维方, 刘爱民, 强文丽.中国大豆资源的虚拟土贸易及进口依存度分析 [J]. 自然资源学报, 2011, 26(7): 1139-1147. [WANG W F, LIU A M, QIANG W L. Virtual land trades and external dependences of China’s soybean resources. Journal of Natural Resources, 2011, 26(7): 1139-1147. ]
[3] 国家统计局农村社会经济调查司.中国农村统计年鉴 [M]. 北京: 中国统计出版社, 2001—2015. [National Bureau of Statistics of China. China Rural Statistical Yearbook. Beijing: China Statistics Press, 2001-2015. ]
[4] 国家统计局. 中国统计年鉴 [M]. 北京: 中国统计出版社, 2001—2015. [National Bureau of Statistics of China. China Statistical Yearbook. Beijing: China Statistics Press, 2001-2015. ]
[5] XIONG Y, LUO M. Research on farmers’ production willingness of safe agricultural products and its influence factors: An empirical analysis in China [J]. Energy Procedia, 2011, 5: 53-58.
[6] FEOLA G, BINDER C R. Towards an improved understanding of farmers’ behaviour: The integrative agent-centred (IAC) framework [J]. Ecological Economics, 2010, 69(12): 2323-2333.
[7] 蔡立旺. 农户决策影响因素的实证研究──步凤镇农民植棉及品种更新的过程分析 [J]. 江西农业学报, 2009(2): 133-137, 141. [CAI L W. An empirical study on the factors influencing farmers ’ decision-making process of cotton variety renew in Bufeng town analysis. Acta Agriculturae Jiangxi, 2009(2): 133-137, 141. ]
[8] 张兆同, 李静. 农民的农业生产经营决策分析——基于江苏省苏北地区的调查 [J]. 农业经济问题, 2009(12): 46-51. [ZHANG Z T, LI J. Analysis on the agricultural production and management decision of farmers—Based on the investigation of the northern Jiangsu area of Jiangsu Province. Issues in Agricultural Economy, 2009(12): 46-51. ]
[9] 林海. 农民经济行为的特点及决策机制分析 [J]. 理论导刊, 2003(4): 28-30. [LIN H. Characteristics of farmer ’ s economic behavior and decision making mechanism. Journal of Socialist Theory Guide, 2003(4): 28-30. ]
[10] 韩耀. 中国农户生产行为研究 [J]. 经济纵横, 1995(5): 29-33. [HAN Y. Study on the production behavior of Chinese Farmers. Economic Review, 1995(5): 29-33. ]
[11] YANG P Y, ILES M, YAN S, et al. Farmers’ knowledge, perceptions and practices in transgenic Bt cotton in small producer systems in Northern China [J]. Crop Protection, 2005, 24(3): 229-239.
[12] 李岳云, 蓝海涛, 方晓军. 不同经营规模农户经营行为的研究 [J]. 中国农村观察, 1999(4): 41-47. [LI Y Y, LAN H T, FANG X J. Research on the household management behavior of different scale of peasant. China Rural Survey, 1999(4): 41-47. ]
[13] 刘清娟. 黑龙江省种粮农户生产行为研究 [D]. 哈尔滨: 东北农业大学, 2012. [LIU Q J. Research of Grain Farmers’ Production Behavior in Heilongjiang Province. Harbin: Northeast Agriculture University, 2012. ]
[14] 唐薇. 用5日滑动平均气温作四季划分 [J]. 绵阳经济技术高等专科学校学报, 2000, 17(4): 19-20, 25. [TANG W. Delimiting four seasons through sliding mean temperature of five days. Journal of Mianyang College of Economy & Technology, 2000, 17(4): 19-20, 25. ]
[15] 储敏. 层次分析法中判断矩阵的构造问题 [D]. 南京: 南京理工大学, 2005. [CHU M. The Construction of Judgement Matrix in AHP. Nanjing: Nanjing University of Science & Technology, 2005. ]
[16] 王树涛, 李新旺, 门明新, 等. 基于改进灰色关联度法的河北省粮食波动影响因素研究 [J]. 中国农业科学, 2011, 44(1): 176-184. [WANG S T, LI X W, MEN M X, et al. Study on the influencing factors of grain production in Hebei Province based on Gray Correlation Degree Method. Scientia Agricultura Sinica, 2011, 44(1): 176-184.

基金

国家自然科学基金项目(41430861)

PDF(5132 KB)

1541

Accesses

0

Citation

Detail

段落导航
相关文章

/