The non-linear effect of china’s energy consumption on eco-environment pollution

被引:0
|
作者
Jin C. [1 ]
Hu H. [1 ]
机构
[1] School of Economics and Management, Beijing Information Science and Technology University, Beijing
关键词
Eco-environmental pollution; Energy consumption; Kernel density function; Quantile regression model;
D O I
10.32604/EE.2021.014281
中图分类号
学科分类号
摘要
With the increase of total energy consumption, eco-environmental quality drops sharply, which has attracted concerns from all circles. It has become the top priority of construction of socialist ecological civilization to clarify the influences of energy consumption on the level of eco-environmental pollution. Ecological environmental pollution control cannot be one size fits all. It can avoid resource depletion and environmental deterioration via adjusting measures to local conditions to coordinate ecological environmental pollution and energy consumption problems. In this essay, entropy method is adopted to measure the composite indexes of eco-environmental pollution of 30 provinces and cities in China, based on which kernel density function is used to analyze the dynamic law of eco-environmental pollution. And then, traditional fixed effect model and panel quantile regression model are adopted respectively to analyze the influences of energy consumption on eco-environmental pollution. The research finds that composite index of eco-environmental pollution shows N-shaped curve of “rising-dropping-rising” during the sample period, with the overall difference decreasing gradually and the polarization disappearing gradually; in areas with higher eco-environmental pollution, energy consumption has aggravated ecoenvironmental pollution, while in areas with lower eco-environmental pollution, energy consumption could alleviate eco-environmental pollution to some degree; foreign direct investment could relieve eco-environmental pollution. Therefore, corresponding measures should be taken to improve the quality of eco-environment based on the changes of energy consumption in areas with different levels of eco-environmental pollution. © 2021, Tech Science Press. All rights reserved.
引用
收藏
页码:655 / 665
页数:10
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