[1]
潘晓卉. 东北地区大豆生产布局变化及影响因素分析[D]. 长春: 中国科学院东北地理与农业生态研究所, 2019.
Pan Xiaohui. Spatiotemporal variation of soybean production in northeast China and its influencing factors [D]. Changchun: Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 2019.
[2]
高万里. 吉林省大豆产业发展优势及前景分析[J]. 纳税, 2018(1): 225-227.
[3]
吴佩蓉, 王桂霞, 郎宇. 吉林省粮食结构变动及路径优化研究[J]. 中国农机化学报, 2020, 41(2): 206-211.
Wu Peirong, Wang Guixia, Lang Yu. Study on grain structure change and route optimization in Jilin Province [J]. Journal of Chinese Agricultural Mechanization, 2020, 41(2): 206-211.
[4]
西奥多·W·舒尔茨. 改造传统农业[M]. 北京: 商务印书馆, 2011.
[5]
贺青梅. 生活社会化:小农的经济压力与行为逻辑[J]. 华中师范大学学报(人文社会科学版), 2009, 48(1): 13-17.
He Qingmei. Socialized Production: Farmers Economic Pressure and Behavior Logic[J]. Journal of Huazhong Normal University(Humanities and Social Sciences), 2009, 48(1): 13-17.
[6]
韩耀. 中国农户生产行为研究[J]. 经济纵横, 1995(5): 29-33.
[7]
林毅夫. 小农与经济理性[J]. 农村经济与社会, 1988(3): 42-47.
[8]
陈肖湄. 承包地转出对农户福利的影响分析[J]. 中国农机化学报, 2020, 41(3): 192-200.
Chen Xiaomei. Analysis of the impact of contracted land transfer on farmers welfare [J]. Journal of Chinese Agricultural Mechanization, 2020, 41(3): 192-200.
[9]
Lipion M. The theory of the optimizing peasant [J]. Journal of development studies, 1968, 4(3): 327-351.
[10]
Schluter M G, MOUNT T D. Some management objectives of the peasant farmer; an analysis of risk aversion in the choice of cropping pattern, Surat District, India [J]. Journal of development studies, 1976, 12(3): 246-261.
[11]
Nowshirvani V F. Agricultural supply in India: some theoretical and empirical studies [D]. USA: Massachusetts Institute of Technology, 1968.
[12]
Askari H, Cummings J T. Estimating agricultural supply response with the Nerlove model: A survey [J]. International economic review, 1977, 18(2): 257-292.
[13]
刘宏曼, 郭鉴硕. 基于Nerlove模型的我国大豆供给反应实证分析[J]. 华中农业大学学报(社会科学版), 2017(6): 44-50, 149.
Liu Hongman, Guo Jianshuo. Positive analysis on supply response of soybean in China based on Nerlove model [J]. Journal of Huazhong Agricultural University(Social Sciences Edition), 2017(6): 44-50, 149.
[14]
李明文, 王振华, 张广胜. 农业政策变化对粮食高质量产出影响的再讨论——基于Nerlove动态分析模型[J]. 农业经济与管理, 2019(6): 73-84.
Liu Mingwen, Wang Zhenhua, Zhang Guangsheng. Rediscussion of agricultural policies changes on highquality output effect of grain—Based on Nerlove dynamic analysis model [J]. Agricultural Economics and Management, 2019(6): 73-84.
[15]
刘泽莹, 韩一军. 种麦农户行为选择: 来自价格、政策和非农就业的综合响应检验[J]. 华中农业大学学报(社会科学版), 2019(4): 63-71, 172.
Liu Zeying, Han Yijun. Farmers behavior choices: Comprehensive response test from price, policy and nonagricultural employment [J]. Journal of Huazhong Agricultural University(Social Sciences Edition), 2019(4): 63-71, 172.
[16]
陈苏, 胡浩. 不同农业政策对中国农户粮食生产决策影响的实证研究[J]. 农业经济与管理, 2017(3): 37-47.
Chen Su, Hu Hao. An empirical study on impact of agricultural policies on Chinese farmers grain production decisionsmaking [J]. Agricultural Economics and Management, 2017(3): 37-47.
[17]
廖翼, 姚屹浓. 中国大豆的供给反应——基于省际面板数据的实证分析[J]. 黑龙江畜牧兽医, 2017(6): 50-53.
[18]
邵飞, 陆迁. 基于Nerlove模型的中国不同区域玉米供给反应研究[J]. 经济问题, 2011(7): 73-76.
Shao Fei, Lu Qian. Research on the supply response of corn in different regions in China [J]. On Economic Problems, 2011(7): 73-76.
[19]
朱思柱, 周曙东. 基于扩展Nerlove模型的中国大豆供给反应弹性研究[J]. 大豆科学, 2014, 33(5): 752-758.
Zhu Sizhu, Zhou Shudong. Study for Chinese soybean supply response elasticity based on extended Nerlove model [J]. Soybean Science, 2014, 33(5): 752-758.
[20]
辛翔飞, 王祖力, 王济民. 我国肉鸡供给反应实证研究——基于Nerlove模型和省级动态面板数据[J]. 农林经济管理学报, 2017, 16(1): 120-126.
Xin Xiangfei. Wang Zuli, Wang Jimin. Supply response analysis on Chinas broiler sector: Based on Nerlove model and provincial dynamic panel data [J]. Journal of AgroForestry Economics and Management, 2017, 16(1): 120-126.
[21]
王纪元, 肖海峰. 不同养殖模式肉羊供给反应行为差异研究——基于Dynamic Panel Nerlove模型[J]. 中国农业大学学报, 2018, 23(8): 196-203.
Wang Jiyuan, Xiao Haifeng. Feeding behavior of sheep holders under different breeding modes: Based on the dynamic panel data of farmers [J]. Journal of China Agricultural University, 2018, 23(8): 196-203.
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