School of Economics and Business Administration, Chongqing University, No. 174 Shazhengjie, Shapingba, Chongqing, 400044, China.
Environ Sci Pollut Res Int. 2022 Jun;29(29):44308-44323. doi: 10.1007/s11356-022-18982-w. Epub 2022 Feb 7.
Based on panel data from 30 provinces over the period of 2003-2016, this study uses the spatial econometric model to examine the effect of green credits on carbon productivity. The research findings show that there is a significant positive correlation between green credits and carbon productivity among provinces during this period. Provinces with high levels of carbon productivity (green credits) are also geographically adjacent or economically close to provinces with high levels and vice versa. Regression results of the whole sample show that green credits not only promote carbon productivity, but also have a positive spatial spillover effect. Similar regression results using regional sub-samples indicate that the direct promotion effect and spatial spillover effect of green credits on carbon productivity are more obvious in the central and western regions than in the eastern parts of the country. The research findings have important and relevant policy implications as far as the relationship between green credits and carbon productivity is concerned.
基于 2003-2016 年 30 个省份的面板数据，本研究使用空间计量经济学模型检验了绿色信贷对碳生产力的影响。研究结果表明，在这段时间内，各省之间的绿色信贷与碳生产力之间存在显著的正相关关系。碳生产力（绿色信贷）水平较高的省份在地理上与碳生产力（绿色信贷）水平较高的省份相邻或经济上接近，反之亦然。全样本的回归结果表明，绿色信贷不仅促进了碳生产力，而且还具有积极的空间溢出效应。使用区域子样本的类似回归结果表明，绿色信贷对碳生产力的直接促进效应和空间溢出效应在中西部地区比在东部地区更为明显。就绿色信贷与碳生产力之间的关系而言，这些研究结果具有重要的相关政策意义。
