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林业科学 ›› 2004, Vol. 40 ›› Issue (5): 62-70.doi: 10.11707/j.1001-7488.20040510

• 论文及研究报告 • 上一篇    下一篇

退耕还林(草)工程政策问题分析与优化建议

孔凡斌   

  1. 江西财经大学资源与环境管理学院,南昌330032
  • 收稿日期:2003-11-06 修回日期:1900-01-01 出版日期:2004-09-25 发布日期:2004-09-25

Analysis of Policy Question and Optimizing Proposal about Converting Cropland to Forest and Grassland Project

Kong Fanbin   

  1. Resources and Environment Management College, JUFE Nanchang330032
  • Received:2003-11-06 Revised:1900-01-01 Online:2004-09-25 Published:2004-09-25

摘要:

退耕还林(草)工程是20世纪末我国政府实施的重大生态恢复工程,是实施可持续发展国家战略的重大举措。作为一项生态恢复工程,应当遵循生态优先、经济效益次要的原则,这是工程性质和任务所决定的。然而,在中西部贫困地区,实施退耕还林(草)工程面临生态环境保护和经济可持续发展的双重压力,如何协调生态保护与经济发展、长远生态利益和短期经济利益、全局利益与部门利益之间的关系,是关乎工程建设质量和系统维护的可持续发展的重大问题。本文从生态优先的原则和本质出发,探讨工程实施过程的政策冲突及其原因,并提出调和利益关系的政策管理措施和建议

关键词: 退耕还林(草)工程, 政策问题, 分析, 优化建议

Abstract:

The converting cropland into forest and grassland project, which is a great ecological resuming project put into effect by China government at the end of the 20th century, is a great act of implementing national sustainable development strategy. The project should follow the principle of giving proifrity to ecology and economic benefits less important, what is determined by the project nature and task. But in Midwest poverty-stricken area, the project is now facing double pressure from ecological environmental protection and economic sustainable development, how to coordinate the ecological protection and the economic development, the long-term ecological interests and the short-term economic benefits, as well as the interests of the whole and department, will concern the sustainable development of project construction quality and system safeguard. Proceeding from ecological preference principle and essence, this text probes into the policy conflict and its reason in the implementing course of the project, and put forward the policy administrative measures and proposdls for mediating relations of various the interests.

Key words: Converting cropland into forest and grassland project, Policy question, Analysis, Optimizing proposal