财经论丛 ›› 2015, Vol. 31 ›› Issue (9): 11-17.

• 区域经济 • 上一篇    下一篇

生态环境经济损失评估:生态文明的视角——以陕北资源富集区为例

李瑞1,胡留所1,L·G·Melnyk2   

  1. 1. 西安财经学院
    2. 乌克兰国立苏梅大学(Sumy State University)
  • 收稿日期:2015-05-01 修回日期:2015-05-30 出版日期:2015-09-10 发布日期:2015-09-06
  • 通讯作者: 李瑞
  • 基金资助:

    教育部人文社科基金青年项目(西部);陕西(高校)哲学社会科学重点研究基地项目;教育部留学归国人员科研启动基金项目

Economic loss assessment of ecological environment based on ecological civilization —— take resource-rich region in North Shaanxi as an example

  • Received:2015-05-01 Revised:2015-05-30 Online:2015-09-10 Published:2015-09-06

摘要: 资源富集区依托资源优势为国家和地区发展提供了强大的动力,但在生态文明建设的新常态视角下,粗放型的发展模式所带来的惨重的生态环境代价却日益凸显。本文首先分析陕北资源富集区特殊的经济结构和生态环境,并对该区域内的环境污染与生态破坏进行实物测度,基于虚拟成本治理法对有明确标准和数据部分应用直接市场法测算,对信息相对缺失的部分应用替代市场法和CVM法进行环境污染损失的货币化评价。研究结果表明,陕北地区在近十年来的经济发展中造成了804亿元的经济损失,虽然经济损失的GDP占比略有下降,但绝对值仍然偏高,使得生态文明建设压力加大,国民经济质量急待提高。在经济损失中环境污染占据主要部分,生态破坏损失在04年以后开始低于环境污染损失并趋于平稳。

Abstract: Depending on the advantage of resources,the resources enrichment regions supply strong energy power for the development of regional and national economic,meanwhile they have paid a heavy cost on the environment. In this paper, we calculate the amount of environmental pollution and ecological damage according to the special economic structure and the ecological environment of the resource enrichment regions of Shaanxi province. Then basing on virtual method of cost management, use direct market method to evaluate the economic loss when the data and indicators are clear, and use alternative marketing or CVM method to evaluate when the data and indicators are insufficient. Results show that the economic development of Shaanxi caused an economic loss of 80.4 billion yuan in nearly a decade.Although the economic losses of GDP declined ,the absolute value is still high.These regions have great pressure on eco-compensation and the quality improvement of the national economy has a long way to go.Among the economic losses ,the environment pollution ranks the first in the list and the ecological damage loss began to reduce and leveled off since 2004, but the volatility of disaster loss is bigger, no obvious trend.

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