School of Statistics, Dongbei University of Finance and Economics, Dalian, China.
Editorial Department, Dongbei University of Finance and Economics, Dalian, China.
Sci Total Environ. 2019 Mar 1;654:786-800. doi: 10.1016/j.scitotenv.2018.11.134. Epub 2018 Nov 10.
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.
区域间碳补偿是生态补偿的重要组成部分。准确核算区域间碳补偿成本是建立碳补偿机制的基础。针对实际碳亏缺,本文首次提出理论碳亏缺的概念,并基于理论碳亏缺改进了区域间碳补偿成本的计算方法。此外,本文利用 STIRPAT 模型和灰色预测模型 GM(1,1)预测了中国 30 个省份从 2017 年到 2026 年的碳补偿成本。最后,本文计算了各省之间碳补偿的优先指数。结果表明:(1)2017 年至 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;(2)2017 年至 2026 年,中国碳补偿成本支付省份和碳补偿成本接受省份的位置不变,碳补偿成本的流动稳定。碳补偿成本支付省份主要集中在中东部地区,碳补偿成本接受省份主要集中在西北地区;(3)中国各省的碳补偿优先指数均较小且呈下降趋势,区域间碳补偿对区域经济发展的影响较小。本文的研究结果可为区域间碳补偿成本的计算和区域间碳补偿机制的建立和完善提供合理参考。