Low-carbon environmental economic development based on fuzzy comprehensive algorithm

With the development of the times, energy use continues to cause environmental pollution is global warming situation is getting worse, the implementation of environmental protection is imperative, in this context the concept of low-carbon economy came into being. Low-carbon economy has attracted much attention in recent years, and relevant research on low-carbon economy has become urgent. In order to study the development situation of low-carbon economy, this paper constructs a low-carbon environmental protection economic indicator system, calculate the total carbon emissions, per ca-pita carbon emissions, and per ca-pita living carbon emissions of five regions in a province from 2016 to 2020, it also counts the income of the three major industries in the province and the proportion of carbon emissions in the past five years, analyzes the impact of low-carbon environmental protection on the income of the three major industries in the province and its relationship with the proportion of carbon emissions, finally, it analyzes the carbon emission elasticity coefficients of five regions in the province in the past five years to understand the relationship between carbon emission growth rate and economic growth rate, and analyze the impact of low-carbon environmental protection on the province's economy. The data collection of this experiment uses the background of big data and the Internet of Things, and refers to the relevant experimental research of previous scholars and the data required for news reports and network information statistics experiments in recent years. In the data calculation, the exponential weighting algorithm in the fuzzy comprehensive algorithm is used to normalize the indicators in the system and calculate the weights, and then use the error analysis method to eliminate the influence of experimental errors on the experimental results. At the end of the experiment, the principal component analysis method was used to comprehensively analyze the indicators in the system. The final results showed that the earnings of the three industries with the decrease of the proportion of carbon emission coefficient increases, the proportion of carbon emission coefficient of the first and third industries in 2020 were 1.01,1.17, earnings were 6911 ten thousand, 6844 ten thousand, the proportion of carbon emission coefficient of secondary industry was 1.24, earnings of 6724 ten thousand. With the implementation of low-carbon environmental protection measures in recent years, the elastic coefficients of carbon emissions in each region in 2020 will be 1.08, 0.31, 0.93, 0.62, 0.27, which are significantly lower than before, and the growth rate of carbon emissions is lower than the rate of economic growth. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

With the increasing severity of global warming, the concept of low-carbon economy has garnered significant attention, leading to urgent research in the field. Through the construction and analysis of an economic indicator system, the impact of low-carbon environmental protection on the income and carbon emissions of the three major industries in a province has been investigated, along with the relationship between carbon emission growth rate and economic growth rate.