Issue |
E3S Web Conf.
Volume 189, 2020
2020 International Conference on Agricultural Science and Technology and Food Engineering (ASTFE 2020)
|
|
---|---|---|
Article Number | 01014 | |
Number of page(s) | 4 | |
Section | Agricultural Resources and Agricultural Automation | |
DOI | https://doi.org/10.1051/e3sconf/202018901014 | |
Published online | 15 September 2020 |
Research on Forest Ecological Benefit Compensation System of Heilongjiang in China
School of Economics and Management, Beijing Jiaotong University, Haidian District, Beijing, 100044, China
* Corresponding author: 18120516@bjtu.edu.cn
The forest ecological function zone in Heilongjiang Province is an important barrier for maintaining ecological security in my country. Its forest ecological environment has great influence on the sustainable development of regional economy and society and the ecological security of neighboring regions. Based on reading domestic and foreign related documents on forest ecological benefit compensation, this article firstly discusses the current situation and problems of the forest ecological benefit compensation system in Heilongjiang Province. Secondly, it analyzes the current status of the implementation of the international forest ecological benefit compensation system and draws relevant enlightenment to China. At last, it summarizes and propose countermeasures and suggestions to improve the forest ecological benefit compensation system in Heilongjiang Province.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.