Construction of Environmental Governance Evaluation Index System

in Liaoning Province under the Background of Double-carbon

Kun Qian and XiaoNan Yang

Department of Business Administration,Dalian Polytechnic University, Dalian, Liaoning Province, China

Keywords: Environmental Governance, Carbon Emission, Reduction Carbon Neutral, Entropy Method.

Abstract: In order to achieve carbon neutral goal, solve the increasingly complex environmental problems, strengthen

the construction of ecological civilization, this article uses entropy method, select 2015-2019 Liaoning

province environmental governance related data, from environmental governance process, environmental

governance results, environmental governance conditions to establish Liaoning province environmental

governance evaluation index system, through the comprehensive score and dynamic change trend analyze the

problems existing in environmental governance work in Liaoning province. The study found that the main

problems in the environmental governance model in Liaoning Province include low social participation in

environmental governance, carbon emission reduction and other indicators that need to be improved, and a

low digital level of environmental governance. Based on the above problems, this paper puts forward

corresponding countermeasures for environmental governance in Liaoning Province to promote the

environmental governance capacity of Liaoning Province.

1 INTRODUCTION

On September 22,2020, General Secretary Xi

Jinping, for the first time at the General debate of the

75th UN General Assembly, Xi Jinping first proposed

to accelerate the formation of a green development

mode and way of life and build an ecological

civilization and a beautiful earth. China will increase

the country's independent contribution, take more

powerful policies and measures, strive to peak its

carbon dioxide emissions by 2030, and strive to

achieve carbon neutrality by 2060.To solve

increasingly complex environmental problems and

achieve carbon neutral goals, we must establish a

more sound and efficient environmental governance

model. Under the background of double carbon, the

establishment of Liaoning province new thinking, by

the construction of environmental governance

evaluation index system, from the environmental

governance process and environmental governance

ability, and analyze the problems existing in Liaoning

province, provide countermeasures to improve the

environmental governance ability of Liaoning

province. The research on environmental governance

is mainly in the aspect of environmental governance

subjects, the measurement of environmental

governance efficiency and the evaluation of urban

environmental governance ability, and the research

on environmental governance under carbon

emissions and other related backgrounds, which

mainly focuses on the relationship between

environmental governance policies and

environmental governance performance.

Overall analysis, many scholars for

environmental governance ability evaluation has not

formed a complete system, and in the background of

double carbon for specific areas of environmental

governance problems discussed less, this paper

believes that the environmental particularity of

different regions should be considered, through the

indicators of the environmental governance ability,

and analyze the existing problems, formulate the

environmental governance mode in line with the

regional development.

Qian, K. and Yang, X.

Construction of Environmental Governance Evaluation Index System in Liaoning Province under the Background of Double-carbon.

DOI: 10.5220/0011179300003440

In Proceedings of the International Conference on Big Data Economy and Digital Management (BDEDM 2022), pages 383-388

ISBN: 978-989-758-593-7

 2022 by SCITEPRESS – Science and Technology Publications, Lda. All r ights reserved

383

2 CONSTRUCTION OF

ENVIRONMENTAL

GOVERNANCE EVALUATION

INDEX SYSTEM UNDER THE

BACKGROUND OF DOUBLE-

CARBONMANUSCRIPT

PREPARATION

The basic definition of environmental governance is

that a variety of public or private individuals and

institutions govern eco-environmental public affairs.

This paper builds a process-oriented environmental

governance evaluation index system from three

aspects: environmental governance process,

environmental governance results and environmental

governance conditions.

2.1 Index Selection

According to the above contents, three levels of

environmental governance process, environmental

gover

nance results and environmental governance

conditions Standard, seven secondary indicators,

environmental governance behavior, environmental

governance intensity, annual carbon index

improvement degree, annual pollution control

improvement proportion, annual ecological and

environmental improvement degree, talent and

technical conditions and social participation, and 22

three-level indicators drawn therefrom (see Table 1).

2.2 Evaluation Method and Data

Sources

2.2.1 Determine the Entropy Weight

Due to the discrete and unit inconsistency of various

indicators, the paper first unified the scale by

extremal standardization method. Entropy method

can avoid the inaccuracy of subjective assignment

and data overlap problem, objectively assign various

indicators, and determine the weight of each index

through the uncertainty of the information provided

by each index, and then obtain the information

entropy of each index. For a single indicator, the

greater the entropy of the information entropy, the

greater the degree of disorder, the greater the effect

on the comprehensive evaluation. Therefore, this

paper uses information entropy to calculate the

weight of each index, to provide a basis for the

comprehensive evaluation of environmental

governance index system in Liaoning Province.

2.2.2 Data Sources

Select the relevant data from 2015 to 2019 to

establish an evaluation index system. The relevant

data comes from 2015-2019, Liaoning Statistical

Yearbook, Liaoning Science and Technology

Statistical Yearbook and Liaoning Department of

Ecology and Environment in 2019. Some of the real

indicators are supplemented according to the

difference method.

Table 1: Environmental governance evaluation index

system.

Primary

index

Seconda

index

Tertiary indicators Unit

Environ

mental

governan

process

Environ

mental

governan

behavior

Cultivated land

occupation tax

Hundred

million

yuan

Resource tax

Hundred

million

yuan

Investment in urban

environmental

infrastructure

Hundred

million

yuan

Forestry investment

Hundred

million

yuan

Environ

mental

governan

intensity

Investment in

environmental

pollution control

/GDP

Environmental

protection

expenditure /GDP

Environ

mental

governan

achievem

ents

Improve

ment

degree of

annual

carbon

index

Annual carbon

emission reduction

ratio

Reduction ratio of

energy consumption

per unit GDP

Proportion of annual

carbon productivity

increase

Increase

proportio

n of

annual

pollution

control

Increase proportion

of annual domestic

waste removal and

transportation

volume

Increase proportion

of annual domestic

wastewater

treatment capacity

Increase proportion

of annual industrial

wastewater

treatment capacity

Increase proportion

of comprehensive

treatment capacity

BDEDM 2022 - The International Conference on Big Data Economy and Digital Management

384

of industrial solid

waste in

Annual

improve

ment

degree of

ecologica

environm

ent

Reduction ratio of

annual air pollution

days

Optimization of

surface water quality

Increase proportion

of annual greening

coverage

Environ

mental

governan

condition

Talent

technical

condition

Number of R &

D personnel

(ecological

protection and

environmental

treatment)

Person

Investment of

scientific research

funds

(environmental

protection,

ecological

construction,

pollution control and

other activities)

Thousand

yuan

Construction of

digital

environmental

governance platform

Score

Degree

of social

participat

ion

Number of citizen

opinions solicited on

government

websites

Piece

Influence of

government media

platform

Score

Number of

environmental

governance

documents issue

Piece

3 ANALYSIS OF

ENVIRONMENTAL

GOVERNANCE EVALUATION

RESULTS IN-LIAONING

PROVINCEEUNDER

THEBACKGROUND OF

DOUBLE-CARBON

The comprehensive score and ranking of the

environmental governance indicators in Liaoning

Province from 2015-2019 were calculated according

to the entropy method (see Table 2).

Overall analysis of environmental governance

evaluation results According to the first-level index

score in the environmental governance evaluation of

Liaoning Province from 2015 to 2019, it can be seen

that the level of environmental governance work in

Liaoning Province is showing a rising trend in the

recent five years, and the environmental governance

achievements are remarkable, and its upward trend is

obvious. Although the environmental governance

process has fluctuated in the past five years, it is still

on the rise. Environmental governance conditions

have basically changed horizontally.

Through the analysis of the scores of various

indicators, it is found that Liaoning Province should

not only pay attention to the indicators of the

environmental governance achievements, but also

strengthen the attention to the environmental

governance process and strengthen the control of

theenvironmental governance process. In addition,

Liaoning province should also pay attention to the

improvement of environmental governance

conditions (see Figure 1).

Figure 1: Comprehensive score chart of each level index.

According to the second-level index score in the

environmental governance evaluation of Liaoning

Province from 2015 to 2019, it can be seen that the

environmental governance behavior and

environmental governance intensity change

synchronously with the degree of annual ecological

environment improvement, which shows that the

environmental governance behavior and

environmental governance intensity have a strong

correlation with the annual ecological environment

improvement.

Table 2: Environmental governance evaluation index

system.

Primar

y index

Seconda

ry index

Tertiary

indicators

System

composi

te score

Ran

Environ

mental

governa

nce

process

Environ

mental

governan

behavior

Cultivated land

occupation tax

0.6220 2

Resource tax 0.5723 4

Investment in

urban

environmental

infrastructure

0.3231 11

Forestry

investmen

0.1242 22

Construction of Environmental Governance Evaluation Index System in Liaoning Province under the Background of Double-carbon

385

Environ

mental

governan

intensity

Investment in

environmental

pollution

control /

GDP

0.3578 9

Environmental

protection

expenditure

/GDP

0.2508 16

Environ

mental

governa

nce

achieve

ments

Improve

ment

degree of

annual

carbon

index

Annual carbon

emission

reduction ratio

0.3884 8

Reduction

ratio of

energy

consumption

per

unit GDP

0.3148 12

Proportion of

annual carbon

productivity

increase

0.3544 10

Increase

proportio

n of

annual

pollution

control

Increase

proportion of

annual

domestic waste

removal and

transportation

volume

0.6560 1

Increase

proportion of

annual

domestic

wastewater

treatment

capacity

0.5961 3

Increase

proportion of

annual

industrial

wastewater

treatment

capacity

0.2442 17

Increase

proportion of

comprehensive

treatment

capacity

of industrial

solid

waste in

0.1693 19

Annual

improve

ment

degree of

ecologica

environm

ent

Reduction

ratio of

annual air

pollution

days

0.4949 6

Optimization

of surface

water quality

0.1453 20

Increase

proportion of

annual

greening

coverage

0.5271 5

The average score of annual pollution control

proportion is the highest, but the degree of fluctuation

is large. Therefore, there is a very low value in 2017.

Therefore, effective measures are still formulated to

strengthen the annual pollutant controlin the future

environmental governance, so as to ensure the steady

increase of the increasing proportion of annual

pollutant control. The degree of improvement of

annual carbon indicators and social participation are

steadily increasing, but both scores are low.

Table 3: Environmental governance evaluation index

system (connect up).

Primar

y index

Second

ary

index

Tertiary

indicators

System

composi

te score

Ran

Environ

mental

governa

nce

conditi

ons

Talent

technica

conditio

Number of

R&D

personnel

(ecological

protection and

environmental

treatment)

0.4112 7

Investment of

scientific

research funds

(environmental

protection,

ecological

construction,

pollution control

and other

activities)

0.1386 21

Construction of

digital

environmental

governance

platform

0.2678 15

Degree

social

particip

ation

Number of

citizen opinions

solicited on

government

websites

0.2016 18

Influence of

government

media platform

0.2843 13

Number of

environmental

governance

documents

issue

0.2691 14

Therefore, Liaoning Province still needs to take

further measures to strengthen the control of carbon

indicators, in order to achieve carbon neutrality;

environmental governance work still needs to

strengthen social participation, and build an

environmental governance model involving the

government, enterprises and citizens. The technical

condition score of talent is also low and shows a

downward trend. This paper believes that this trend is

compared with talents in Liaoning Province. The

serious flow and the low level of scientific and

BDEDM 2022 - The International Conference on Big Data Economy and Digital Management

386

technological development are related. The further

improvement of the environmental governance level

in Liaoning Province needs to be based on high-

quality talents and supported by advanced scientific

and technological conditions (see Figure 2).

Figure 2: Comprehensive score chart of each level index.

4 CONCLUSIONS AND

SUGGESTIONS

Based on the index analysis of Liaoning Province

environmental governance evaluation system, this

paper puts forward the following conclusions and

suggestions for the future environmental governance

work in Liaoning Province:

4.1 Strengthen the Disclosure of

Government Information,

Environmental Protection

Departments Solicit Citizens

'Opinions on Environmental

Governance and Ecological

Protection Issues to Improve

Citizens' Participation

The environmental protection department should

improve the policies and laws on environmental

protection and environmental assessment, improve

the reward system for environmental problems,

establish and improve a sound environmental

protection system, enhance the influence of

government media platforms related to

environmental governance, use media platforms to

strengthen the publicity and education in

environmental protection, guide citizens to enhance

environmental awareness and mobilize the

enthusiasm of environmental participation.

4.2 Combine Environmental

Governance with Internet

Technology

Increase investment in the introduction of scientific

and technological talents and scientific research

funds, develop environmental governance-related

technologies, and integrate Internet technology with

environmental governance technology, to improve

the innovation and convenience of environmental

governance. At the same time, the combination of

environmental governance and Internet technology

can better establish a model of coordinated

governance between the government, citizens and

enterprises, and promote social subjects to more

effectively participate in environmental governance

activities.

4.3 Establish a Platform for Carbon

Emission Monitoring and Control

In order to balance carbon emission reduction and

economic benefits. Through digital twin technology

data modeling, environmental governance related

environmental data and economic activities for real-

time monitoring, through big data technology for

carbon emissions and carbon peak, carbon

neutralization process prediction, finally through

digital twin technology for carbon reduction path and

policy planning scenario simulation simulation,

found problems and optimization, combined with

artificial intelligence technology to adjust the

implementation of planning.

ACKNOWLEDGEMENTS

This paper is the research achievement of Liaoning

social science planning fund project. (Project

number: L20BGL042)

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