Data for: Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach

Abstract of associated article: This paper contributes to the existing literature on the methodology of modeling the dynamic of carbon emission performance. Based on the analytical framework of Zhou et al. (Energy Economics, 32, 194–201, 2010), we develop a parametric Malmquist index approach that takes into account statistical noises. Moreover, the fixed-effect panel stochastic frontier model is employed to deal with regional heterogeneity. The proposed approach is applied to analyze the dynamics of carbon emission performance in 30 Chinese provinces during the period of 2000–2010. The main findings are as follows. First, the carbon emission performances of 30 provinces as a whole improved by 4.1% annually during the sample period, which was mainly driven by efficiency change component. Second, the east area shows the best performance with an average Malmquist CO2 emissions performance index (MCPI) of 1.108, followed by the central area (1.039). Unlike the east and central areas, the west area experienced deterioration in carbon emission performance. More effective environmental policies should be implemented to change the situation. Third, compared with the proposed approach, the nonparametric approach tends to underestimate China's MCPI and gives rise to volatile results.

关联论文摘要：本文为现有碳排放绩效动态建模方法论的相关研究文献提供了新的学术贡献。本文基于周等人（2010年发表于《能源经济学》，第32卷，第194-201页）提出的分析框架，构建了一种纳入统计噪声的参数化马尔姆奎斯特指数（parametric Malmquist index）分析方法。此外，本文采用固定效应面板随机前沿模型（fixed-effect panel stochastic frontier model）以处理区域异质性。本文将所提方法应用于2000-2010年中国30个省份的碳排放绩效动态变化分析。主要研究结论如下：其一，样本期内中国30个省份整体的碳排放绩效年均提升4.1%，该提升主要由效率变化成分驱动。其二，东部地区表现最优，其马尔姆奎斯特二氧化碳排放绩效指数（Malmquist CO2 emissions performance index, MCPI）均值为1.108，中部地区次之（1.039）。与东、中部地区不同，西部地区的碳排放绩效出现下滑，亟需出台更具针对性的环境政策以扭转这一局面。其三，相较于本文所提方法，非参数方法（nonparametric approach）往往会低估中国的MCPI，并导致结果出现波动。