scholarly journals Regional environmental efficiency evaluation in China: Analysis based on the Super-SBM model with undesirable outputs

2013 ◽  
Vol 58 (5-6) ◽  
pp. 1018-1031 ◽  
Author(s):  
Hong Li ◽  
Kuangnan Fang ◽  
Wei Yang ◽  
Di Wang ◽  
Xiaoxin Hong
Keyword(s):  
Environmental Efficiency ◽  
Efficiency Evaluation ◽  
Undesirable Outputs ◽  
Sbm Model

scholarly journals Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs

2019 ◽  
Vol 12 (1) ◽  
pp. 31 ◽  
Author(s):  
Kai Xu ◽  
Bart Bossink ◽  
Qiang Chen
Keyword(s):  
Eastern China ◽  
Western China ◽  
Efficiency Evaluation ◽  
Undesirable Outputs ◽  
Regional Innovation ◽  
Total Energy Consumption ◽  
Main Research ◽  
Chinese Firm ◽  
Sbm Model ◽  
Sustainable Innovation

An efficiency evaluation of China’s regional sustainable innovation, evaluating industrial waste and total energy consumption, is the main research subject in this paper. It focuses on a regional measurement and comparison of these undesirable outputs of Chinese firm activities, such as industrial SO2 and CO2 emissions. By applying a data envelopment analysis–slack-based measure (DEA–SBM) model with undesirable outputs indicators, the regional innovation efficiency was evaluated for 30 provinces in China, from 2002 to 2014. The results indicate that the sustainable innovation efficiency of overall China is still relatively low, and varies significantly in different regions. Central and Western China have similar sustainable innovation efficiencies, which are much lower than the sustainable innovation efficiency in Eastern China. Furthermore, the data indicate that regional sustainable innovation efficiency disparities among these three areas are decreasing. Based on these findings, reasons for the sustainable innovation efficiency gap among the different regions were analyzed. To scholars, this paper extends the research on regional sustainable innovation efficiency by implementing an undesirable output perspective to the DEA–SBM model. The findings also provide Chinese policy makers with useful decision support insights for regional sustainable innovation, and energy conservation and emission reduction policies.

scholarly journals Environmental Efficiency Evaluation of China’s Power Industry Based on the Two-Stage Network Slack-Based Measure Model

2021 ◽  
Vol 18 (23) ◽  
pp. 12650
Author(s):  
Wei Wei ◽  
Shuangying Ding ◽  
Silin Zheng ◽  
Jingjing Ma ◽  
Tong Niu ◽  
...  
Keyword(s):  
Power Generation ◽  
Power Industry ◽  
Environmental Efficiency ◽  
Evaluation Index System ◽  
Efficiency Evaluation ◽  
Low Carbon ◽  
Generation Efficiency ◽  
Two Stage ◽  
Transmission And Distribution ◽  
Distribution Efficiency

How to achieve the continuous improvement of the environmental performance level of the power industry within the requirements of clean and low-carbon energy development is the fundamental requirement and inevitable choice for the construction of ecological civilization and sustainable development. From the perspective of environmental protection, based on the Data Envelopment Analysis (DEA) method and the internal mechanism of power system production and supply, the power industry environmental efficiency evaluation index system was constructed, and the two-stage Network Slack-based Measure (NSBM) model considering undesired output was used to calculate China’s 30 provinces and municipalities from 1998 to 2019. The environmental efficiency is divided into two links: power generation efficiency and transmission and distribution efficiency. The study found that, within the research interval, the overall environmental efficiency of China’s 30 provinces is low, and the differences between provinces and cities are large, but they have gradually developed in a better direction after 2015. The power generation efficiency of the first link in most provinces and municipalities is higher than the transmission and distribution efficiency of the second link, and the low transmission and distribution efficiency is an important reason for the low comprehensive level of environmental efficiency. The overall evolution trend of environmental efficiency in the six regions of China is roughly the same, but the regional differences are obvious, showing a trend of “high in the southeast and low in the northwest”. The economic and natural resource differences in different provinces and cities in each region have led to varying degrees of redundancy in five aspects, including investment in power assets, installed power generation capacity, and length of transmission lines, which seriously affect the environmental efficiency of the power industry. This research attempts to open the “black box” of the environmental efficiency conversion process of the power industry, which can provide directions and strategic suggestions for the improvement of the efficiency of the power industry in China.

scholarly journals Analysis of Farming Environmental Efficiency Using a DEA Model with Undesirable Outputs

2014 ◽  
Vol 10 ◽  
pp. 154-158 ◽  
Author(s):  
Hsing-Fu Kuo ◽  
Hsiang-Leng Chen ◽  
Ko-Wan Tsou
Keyword(s):  
Environmental Efficiency ◽  
Undesirable Outputs ◽  
Dea Model

Environmental efficiency analysis of power industry in China based on an entropy SBM model

Energy Policy ◽  
2013 ◽  
Vol 57 ◽  
pp. 68-75 ◽  
Author(s):  
Yan Zhou ◽  
Xinpeng Xing ◽  
Kuangnan Fang ◽  
Dapeng Liang ◽  
Chunlin Xu
Keyword(s):  
Efficiency Analysis ◽  
Power Industry ◽  
Environmental Efficiency ◽  
Sbm Model
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