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The Price of Pollution? A Distance Function Approach to Valuing Multiple Pollutants in China

机译:污染的价格? 距离中国多重污染物的距离功能方法

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摘要

To achieve green development, the Chinese government has taken a number of steps to reduce pollution. Several provinces of China thereby are implementing pilot pollution emission trading schemes. However, problems remain before establishing a nationwide pollution emission trading system, i.e., at what price do polluters acquire another emission allowance in the stage of initial quota allocation. In this context, shadow prices of emissions could provide the policymakers important information for the allowance prices. Besides, environmental protection policies often result in the reduction of several pollutants simultaneously. Thus, considering the provincial and sectoral significant differences in China, this paper employs a nonparametric output distance function approach including multiple undesirable outputs to estimate shadow prices ofSO2andNOxat national level, provincial level and sectoral level. Our results suggest that multiple pollutants should be taken into account and shadow prices should be set differently at national, provincial and sectoral levels.
机译:为实现绿色发展,中国政府采取了一些措施来减少污染。由此,中国的几个省正在实施飞行员污染排放交易计划。但是,在建立全国污染排放交易系统之前,问题仍然存在,即,污染者在初始配额分配阶段获得另一种排放津贴。在这种情况下,减排的阴影价格可以为政策制定者提供津贴价格的重要信息。此外,环境保护政策通常会同时降低几种污染物。因此,考虑到中国省和部门的巨大差异,本文采用非参数输出距离功能方法,包括多个不良产出,以估算SO2AndNoxat国家一级,省级和部门水平的影子价格。我们的研究结果表明,应考虑多种污染物,阴影价格应在国家,省级和部门水平方面不同。

著录项

  • 来源
    《Emerging Markets Finance & Trade》 |2021年第6期|1050-1067|共18页
  • 作者

    Ou Jia-Jia; He Ling-Yun;

  • 作者单位

    China Agr Univ Coll Econ & Management Beijing Peoples R China;

    Jinan Univ Inst Resource Environm & Sustainable Dev Res Guangzhou 510632 Peoples R China|Jinan Univ Sch Econ Dept Int Trade Guangzhou Peoples R China|Nanjing Univ Informat Sci & Technol Coll Management Engn Nanjing Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    shadow prices; output distance function; SO2; NOX; China;

    机译:影子价格;输出距离功能;SO2;NOx;中国;

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