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Interregional carbon compensation cost forecast and priority index calculation based on the theoretical carbon deficit: China as a case

机译:基于理论碳赤字的区域间碳补偿成本预测和优先指标计算:以中国为例

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Interregional carbon compensation is an important part of ecological compensation. An accurate accounting of the interregional carbon compensation cost is the foundation for establishing a carbon compensation mechanism. Corresponding to the actual carbon deficit, this paper advances, for the first time, the concept of the theoretical carbon deficit and, improves the calculation method of the interregional carbon compensation cost based on the theoretical carbon deficit. Additionally, this paper, forecasts the carbon compensation cost among 30 provinces in China from 2017 to 2026 by using the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and the gray prediction model GM (1, 1). Finally, this paper calculates the priority indexes of the carbon compensation among provinces. The results indicate that, first, from 2017 to 2026, the carbon emissions and carbon absorption in 30 provinces in China are generally on the rise, and the increase rate of carbon absorption is less than the increase rate of carbon emissions. Second, from 2017 to 2026, China's carbon compensation cost payment provinces and carbon compensation cost recipient provinces do not change position, and the flow of the carbon compensation cost is stable. The carbon compensation cost payment provinces are mainly located in the central and eastern regions, and the carbon compensation cost recipient provinces are mainly located in the northwestern region. Third. the priority indexes of carbon compensation in China's provinces are all small and declining, and the carbon compensation among regions has little impact on regional economic development. The research results in this paper can provide a reasonable reference for the cost calculation of interregional carbon compensation and the establishment and improvement of an interregional carbon compensation mechanism. (C) 2018 Elsevier B.V. All rights reserved.
机译:区域间碳补偿是生态补偿的重要组成部分。区域间碳补偿成本的准确核算是建立碳补偿机制的基础。相对于实际碳赤字,本文首次提出了理论碳赤字的概念,并改进了基于理论碳赤字的区域间碳补偿成本的计算方法。此外,本文还使用STIRPAT回归模型和灰色预测模型GM(1,1),对2017年至2026年中国30个省份的碳补偿成本进行了预测。最后,计算了各省之间碳补偿的优先指标。结果表明,首先,从2017年到2026年,中国30个省份的碳排放量和碳吸收量总体呈上升趋势,碳吸收量的增长率小于碳排放量的增长率。其次,2017年至2026年,中国的碳补偿成本支付省和碳补偿成本接受省不改变立场,碳补偿成本的流量稳定。碳补偿成本支付省主要位于中部和东部地区,碳补偿成本接受省主要位于西北地区。第三。中国各省碳补偿的优先指标均较小且在下降,区域间碳补偿对区域经济发展影响不大。本文的研究结果可为区域间碳补偿的成本计算以及区域间碳补偿机制的建立和完善提供合理的参考。 (C)2018 Elsevier B.V.保留所有权利。

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