2015
DOI: 10.4028/www.scientific.net/amm.733.303
|View full text |Cite
|
Sign up to set email alerts
|

Research on the Evaluating Method of Non-Renewable Energy Efficiency Based on China's Provincial Data: Green Growth Perspective

Abstract: This paper integrated systematically the method of MFA, DEA, and the evaluation method of eco-efficiency, constructed a method of evaluating total factor non-renewable energy efficiency based on the perspective of green growth. And it defined the indicators system of evaluating total factor non-renewable energy efficiency. This paper gave an empirical research of total factor non-renewable energy efficiency, economic efficiency of non-renewable energy, environmental efficiency of non-renewable energy, and eco-… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 9 publications
0
2
0
Order By: Relevance
“…Based on [58] and the different production stages, the following influence factors are selected: government support, urbanization level, industrial structure, energy consumption structure, scientific and technological progress, economic development level, and environmental regulation. Furthermore, following [59], the influence factors are set as explanatory variables, and the input resource redundancies are set as explained variables, when the regression part of the three-phase DEA model, namely the SFA model, is established. The government support, industrial structure, and urbanization level mainly affect eco-efficiency in the production stage, whereas technological progress, environmental regulation, and economic development mainly affect eco-efficiency during the process of pollution treatment.…”
Section: Hypothesesmentioning
confidence: 99%
“…Based on [58] and the different production stages, the following influence factors are selected: government support, urbanization level, industrial structure, energy consumption structure, scientific and technological progress, economic development level, and environmental regulation. Furthermore, following [59], the influence factors are set as explanatory variables, and the input resource redundancies are set as explained variables, when the regression part of the three-phase DEA model, namely the SFA model, is established. The government support, industrial structure, and urbanization level mainly affect eco-efficiency in the production stage, whereas technological progress, environmental regulation, and economic development mainly affect eco-efficiency during the process of pollution treatment.…”
Section: Hypothesesmentioning
confidence: 99%
“…There are obvious unlikeness in traffic accessibility, rural human capital level, breeding technology services, biogas projects, urbanization level and feed price in different localities (Evans 1984;Adams 1994;Ernst 1998; Yue et al2017). The eastern region has developed transportation and easy industrial agglomeration (Managi and Kaneko 2006;Xiao et al 2012); the central region has an ascendant geographical location and is a traffic fortress for population mobility (Zhang et al 2015;Yuan et al 2017); the western region has superior environmental conditions, with low labor cost and feed transportation cost (Yue et al 2014;Wang et al 2015;Zhang et al 2016). With the gradual implementation of the policy of "importing hogs from the south to the north" and the differences in environmental carrying capacity, feed resources and local breed resources in different regions, there are apparent distinctions in pig breeding industry among the three regions (Qiao et al 2011;Zhao et al 2015).…”
Section: Introductionmentioning
confidence: 99%