中国农业科技导报 ›› 2016, Vol. 18 ›› Issue (4): 190-198.DOI: 10.13304/j.nykjdb.2015.682

• 技术经济 信息研究 农业政策 • 上一篇    下一篇

主产区粮食生产与财政收入关联分析及政策建议 ——基于与主销区比较的视角

崔奇峰1,蒋和平1*,蒋黎2,吴颍宣3   

  1. 1.中国农科院农业经济与发展研究所, 北京 100081; 2.中国人民大学经济学院, 北京 100872;
    3.南京大学商学院, 南京 210093
  • 收稿日期:2015-11-18 出版日期:2016-08-15 发布日期:2016-01-11
  • 通讯作者: 蒋和平,教授,博士生导师,主要从事农业现代化与现代农业发展的理论、运行机制和模式的研究。E-mail:jiangheping@caas.cn
  • 作者简介:崔奇峰,副研究员,博士,主要从事现代农业理论与政策方面的研究。E-mail:cuiqifeng@caas.cn。
  • 基金资助:
    国家社会科学基金重大项目(14ZDA041);中国农业科学院科技创新工程项目(ASTIP-IAED02);2014年中国农业科学院基本科研业务费专项(0052014002-4)资助。

Correlation and Policy Proposals of Grain Output and # Financial Revenue of Main Grain Producing Areas
——Based on the Prespective of Comparison  with Main Grain Sale Areas

CUI Qi-feng1, JIANG He-ping1*, JIANG Li2, WU Ying-xuan3   

  1. 1.Agricultural Economics and Development Institute, Chinese Academy of Agricultural Sciences, Beijing 100081;
    2.Economics College, Renmin University, Beijing 100872; 3.School of Business, Nanjing University, Nanjing 210093, China
  • Received:2015-11-18 Online:2016-08-15 Published:2016-01-11

摘要: 虽然粮食主产区为国家粮食安全做出重要贡献,经济发展水平却落后。通过对主产区与主销区相关指标的对比,利用统计方法及Panel Data模型分析发现主产区存在产粮越多,地方政府财政收入越少的“产粮悖论”。在分析原因的基础上,提出建立动态、长效的财政补偿机制,将粮食产业打造成为主产区致富增收的产业,鼓励主销区和主产区之间的合作等方面的政策建议。

关键词: 主产区和主销区, 粮食产量, 财政收入, 政策建议, Panel Data模型

Abstract: Although the main grain producing areas have made a great contribution to the national food security, their economic developments are far behind the main grain sales areas. This paper concluded that the more grain output, the poorer local government revenue in main grain areas by comparing some economic indicators with the main sales areas and through statistical method and Panel Data model. Based on the empirical results and cause analysis, this paper suggested that the central government should establish dynamic and long-term financial compensation mechanism, promote the development of grain related industry in the main producing areas, and encourage cooperation between the main sales areas and main producing areas.

Key words: main producing areas and main sales areas, grain output, financial revenue, policy proposals, Panel Data model