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首页> 外文期刊>Ecological indicators >Influencing factors and regional discrepancies of the efficiency of carbon dioxide emissions in Jiangsu, China
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Influencing factors and regional discrepancies of the efficiency of carbon dioxide emissions in Jiangsu, China

机译：中国江苏省二氧化碳排放效率的影响因素和地区差异

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摘要

Decreasing carbon emissions is of great significance to the development of the strategy for a low-carbon economy and for the choice of a carbon dioxide (CO2) emission mitigation path. In order to realize the purpose of energy saving and emission reduction during the process of urbanization, both China and Jiangsu province have been urged to improve their energy efficiency and carbon dioxide efficiency. A Malmquist index based on an undesirable output data envelopment analysis (DEA) model was calculated to study the scalable industrial CO2emissions of 13 cities in Jiangsu province from 2000 to 2014. The impact factors on the efficiency of the CO2emissions are analyzed using a Tobit model, which takes the level of urbanization as the core variable and four other factors (energy consumption structure, industrialization level, foreign trade, and R&D expenditure) as the control variables. The results show that the total factor productivity (TFP) index of the low-carbon economy in Jiangsu grew by an average annual rate of 0.7%, and the total efficiency of the low-carbon economy increased by 9.3%. The main contributing factor was the average annual increase of 1.5% in technological progress during 2000–2014, but the pure technical efficiency and scale efficiency are declining. Jiangsu has not realized the full use of its resources and energy for many years. The level of industrialization and structure of energy consumption are the main impact factors on carbon emissions. In the process of urbanization, both China and Jiangsu should pay attention to optimizing the structure of energy consumption, adjusting the industrial structure, increasing the R&D, and introducing environmental protection technology. These are effective paths to achieve the goal of carbon emission reduction in China.
机译：减少碳排放量对于制定低碳经济战略以及选择减少二氧化碳（CO2）排放路径具有重要意义。为了实现城市化过程中的节能减排目的，中国和江苏都被要求提高其能源效率和二氧化碳效率。计算了基于不良输出数据包络分析（DEA）模型的Malmquist指数，以研究江苏省13个城市2000年至2014年可扩展的工业CO2排放。使用Tobit模型分析了影响CO2排放效率的因素，它以城市化水平为核心变量，其他四个因素（能源消费结构，工业化水平，外贸和R＆D支出）为控制变量。结果表明，江苏省低碳经济的全要素生产率（TFP）指数年均增长0.7％，低碳经济总效率提高9.3％。主要的贡献因素是2000-2014年间技术进步的年均增长1.5％，但纯技术效率和规模效率却在下降。江苏多年来没有实现其资源和能源的充分利用。工业化水平和能源消耗结构是影响碳排放的主要因素。在城市化进程中，中苏双方都应重视优化能源消费结构，调整产业结构，加大研发力度，引进环保技术。这些是实现中国碳减排目标的有效途径。

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