2018
DOI: 10.1016/j.jclepro.2017.11.220
|View full text |Cite
|
Sign up to set email alerts
|

The comprehensive environmental efficiency of socioeconomic sectors in China: An analysis based on a non-separable bad output SBM

Abstract: The increasingly high frequency of heavy air pollution in most regions of China signals the urgent need for the transition to an environmentally friendly production performance by socioeconomic sectors for the sake of people's health and sustainable development. Focusing on CO2 and major air pollutants, this paper presents a comprehensive environmental efficiency index based on evaluating the environmental efficiency of major socioeconomic sectors, including agriculture, power, industry, residential and transp… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
12
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 53 publications
(12 citation statements)
references
References 52 publications
0
12
0
Order By: Relevance
“…It is important for the government to have a clear idea about the impact of policy on sustainability in order to fine-tune and improve the efficiency of the implemented schemes. There have been a number of studies analyzing energy, economic, and environmental efficiency in the unity analytical framework using the DEA model, considering multiple inputs and outputs at national level [25][26][27]. In managerial practice, more insights into sustainable performance can be found in the Network DEA model, which is known for its abundance of information [28].…”
Section: Sustainable Performance Model Development Based On Network Dmentioning
confidence: 99%
See 1 more Smart Citation
“…It is important for the government to have a clear idea about the impact of policy on sustainability in order to fine-tune and improve the efficiency of the implemented schemes. There have been a number of studies analyzing energy, economic, and environmental efficiency in the unity analytical framework using the DEA model, considering multiple inputs and outputs at national level [25][26][27]. In managerial practice, more insights into sustainable performance can be found in the Network DEA model, which is known for its abundance of information [28].…”
Section: Sustainable Performance Model Development Based On Network Dmentioning
confidence: 99%
“…Wu et al [27] proposed a DEA model to estimated energy usage efficiency, CO 2 emission efficiency, and economic-environmental efficiency for Asia-Pacific Economic Cooperation (APEC) economies, in which a group of specific variables, including population, total primary energy consumption, GDP, and CO 2 emission, were used. Our sustainable performance evaluation was motivated by the multi-stage DEA framework with the input-output specification for performance score calculated separately as proposed by Wu et al [26], with a modification to the serial connection of the two-stage Network DEA model: the consumption of various energy types has been treated as intermediate variables from the previous stage to the following stage. Because infrastructure investment in the energy industry signals the effort to strengthen energy supply and/or grid systems in response to the increase in energy demand in a regional economic system, it was also included as one of the inputs to evaluate energy use efficiency.…”
Section: Sustainable Performance Model Development Based On Network Dmentioning
confidence: 99%
“…It is intended to increase expected output while reducing unintended output and resource input [9]. For example, in some empirical studies, CO 2 emissions are often taken as output objects of pollutants [14][15][16], while SO 2 , NOx, and smoke & dust are included in undesired output indicators gradually [13,[17][18][19]. On the contrary, many scholars hold the view that air pollutant emissions are used as input indicators and GDP as an indicator of economic output.…”
Section: Introductionmentioning
confidence: 99%
“…Various kinds of data, i.e., smartcard data, socio-economic data, and geographical data, were combined to evaluate the efficiency of TOD [33]. Transit efficiency was defined through the relationship between multiple inputs and outputs [34]. Transit efficiency refers to how well the transit system was introduced and managed with respect to the socio-economics, transit infrastructures, and transit trips of each station area [8].…”
Section: Introductionmentioning
confidence: 99%