Abstract
China will strive to achieve carbon peak by 2030 and carbon neutralization by 2060 cooperating with the system dominated by carbon intensity control and supplemented by total carbon emission control. This paper analyzes the environmental efficiency index of China; the empirical results show that the average growth rate is 4.5% from 2006 to 2017. A further decomposition of changes on scale efficiency and pure technical efficiency indicates that the pure technical efficiency maintains a long-term growth, and scale efficiency shows a fluctuant tendency. The abovementioned changes show that various methods in China such as industrial structure adjustment and promotion of the development of high and new technologies have obtained a certain effect. From the perspectives of regional differences, the average changes of environmental efficiency in eastern, central, and western regions as well as most of provinces and cities are all on the increase. On the space layout, a trend has been presented that the average changes in central regions exceed those in eastern regions, while the average changes in western regions are comparatively lower than those in eastern regions.
Highlights
The outline of the 14th 5-year plan clearly proposes to improve the dual-control system of total energy consumption and intensity, focusing on controlling fossil energy consumption
China strives to achieve carbon peak by 2030 and carbon neutralization by 2060, which is the final decision made by our leaders and government after careful consideration and consideration in all aspects
The Average Growth Rate of China’s Environmental Efficiency In Table 2, this paper shows that the average growth rate of China’s environmental efficiency index from 2006 to 2017 was 1.045, and the overall growth rate was 4.5%
Summary
The outline of the 14th 5-year plan clearly proposes to improve the dual-control system of total energy consumption and intensity, focusing on controlling fossil energy consumption. This paper uses the data envelopment analysis (DEA)-Malmquist model to measure the environmental growth efficiency of different regions in China and conducts an empirical study on the influencing factors. With reference to the three-factor production function of energy, manpower, and capital based on Say’s Law (Say, 2013), taking into account the high-tech technologies that improve environmental efficiency, we consider the energy consumption, the research and experimental development (R&D) funding, and the number of employees of each region as input elements. This paper takes 30 regions of China as research samples, uses the DEA model to measure the growth rate of environmental efficiency from 2006 to 2017, and conducts an empirical research on the factors that affect the growth rate. This paper uses DEAP 2.1, VRS (based on returns to scale), and the input-oriented DEA model to calculate and decompose the environmental efficiency of 30 areas in China from 2006 to 2017.
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