• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Sustainable Development and Planning >Assessment on the effect of pollution abatement on environmental efficiency with Markov chain Monte Carlo simulation
【24h】

Assessment on the effect of pollution abatement on environmental efficiency with Markov chain Monte Carlo simulation

机译：评估污染减少对马尔可夫链蒙特卡罗模拟环境效率的影响

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Both environmental economists and policy makers have shown a great deal of interest in the effect of pollution abatement on environmental efficiency. In line with the modern resources available, however, no contribution is brought to the environmental economics field with the Markov chain Monte Carlo (MCMC) application, which enables simulation from a distribution of a Markov chain and simulating from the chain until it approaches equilibrium. The probability density functions gained prominence with the advantages over classical statistical methods in its simultaneous inference and incorporation of any prior information on all model parameters. This paper concentrated on this point with the application of MCMC to the database of China, the largest developing country with rapid economic growth and serious environmental pollution in recent years. The variables cover the economic output and pollution abatement cost from the year 1992 to 2003. We test the causal direction between pollution abatement cost and environmental efficiency with MCMC simulation. We found that the pollution abatement cost causes an increase in environmental efficiency through the algorithm application, which makes it conceivable that the environmental policy makers should make more substantial measures to reduce pollution in the near future.
机译：环境经济学家和政策制定者都对污染减少对环境效率的影响有很大的兴趣。然而，符合现代资源可用，没有贡献，利用Markov链蒙特卡罗（MCMC）应用程序，它可以从马尔可夫链的分布和从链中模拟，直到它达到平衡。概率密度函数在其同时推断和结合所有模型参数上的任何先前信息中的古典统计方法的优势突出。本文集中于这一点，近年来，该纸张综合应用MCMC将MCMC应用于中国最大的发展中国家，近年来经济迅速增长和严重的环境污染。该变量涵盖了1992年至2003年的经济产出和污染减产成本。我们通过MCMC模拟测试污染减排成本与环境效率之间的因果方向。我们发现，污染减排成本通过算法应用导致环境效率的增加，这使得环境决策者应采取更大的措施，以减少不久的将来污染。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号