scholarly journals Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model

2021 ◽  
Vol 13 (5) ◽  
pp. 2777
Author(s):  
Dongxiao Niu ◽  
Gengqi Wu ◽  
Zhengsen Ji ◽  
Dongyu Wang ◽  
Yuying Li ◽  
...  
Keyword(s):  
Indicator System ◽  
Low Carbon ◽  
Factors Affecting ◽  
Carbon Neutrality ◽  
Evaluation Indicator ◽  
Order Preference ◽  
Evaluation Indicator System ◽  
Improved Topsis Model ◽  
Improved Technique ◽  
Topsis Model

It will be a huge challenge for China to achieve carbon neutrality by 2060. At present, China needs to understand its own carbon neutrality status and then scientifically plan a path to achieve carbon neutrality. In order to evaluate the carbon neutrality capacity of China’s provinces, this paper firstly constructs an evaluation indicator system, which includes 20 indicators at six levels. Then, a combination of subjective and objective weighting methods, as well as an improved technique for order preference by similarity to an ideal solution (TOPSIS) model, are used to calculate evaluation results. On this basis, the reasons for their different carbon neutrality capacities are analyzed. The results show that the use of renewable energy, maintaining ecological environmental quality, and low-carbon technology are important factors affecting China’s carbon neutrality capacity, and according to the evaluation results, China’s provinces are divided into three categories. Finally, corresponding suggestions for speeding up the pace of carbon neutrality are put forward.

Big-Data Based Analysis for Communication Effect of Science-Technology Public Accounts on Social Media

2019 ◽  
Vol 11 (3) ◽  
pp. 56-69
Author(s):  
Jinluan Ren ◽  
Wen Cao ◽  
Bo Li ◽  
Lihua Liu ◽  
Lin Cai ◽  
...  
Keyword(s):  
Social Media ◽  
Information Dissemination ◽  
Indicator System ◽  
Factors Affecting ◽  
Evaluation Indicator ◽  
Science Technology ◽  
Communication Effects ◽  
Evaluation Indicator System ◽  
Communication Effect ◽  
Mlr Model

Public accounts on social media have become important channels for information dissemination. Well-designed public social media accounts are vital to better communicate science and technology (S-T) achievements. This article defines the S-T communication concept and proposes the analyzing dimensions. In order to measure the communication effect, this research collected 7,246 articles from S-T public accounts on WeChat. We analysis these massive data incorporating neural network (NN) and multivariate linear regression (MLR) model. The evaluation indicator system of communication effect includes three levels indicators. The research found the following factors affecting the S-T communication effect in different degrees: the number of active fans on Science Technology Public Accounts on Social Media (STPA-SM), locations where the articles are published, the authentication status of STPA-SM, and so on. Finally, the article proposes some strategic suggestions for improving the communication effects of S-T achievements through STPA-SM.

Construction of a Scientific Evaluation Indicator System for Low-Carbon Tourist Spots

2012 ◽  
Vol 573-574 ◽  
pp. 848-853
Author(s):  
Zheng Liu ◽  
Xin Zhou Hu
Keyword(s):  
Economic Development ◽  
Indicator System ◽  
Low Carbon ◽  
Scientific Evaluation ◽  
Low Carbon Economy ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Good Mode ◽  
Economic Development Model ◽  
Carbon Economy

Nowadays the low-carbon economic development model is becoming more and more popular all over the world. The low-carbon economy requires the reduction of the consumption of high-carbon energy and the emission of greenhouse gas, and the combination of economic development and environmental protection. So the tourist spots should also conform to the trend and set low-carbon tourism as their goals that call for energy conservation and emission reduction to build up a good mode of economic circulation. Under this background, this essay explores to put forward a set of reasonable and concise evaluation indicator system. The system tries to fully reflect low-carbon levels of the tourist spots and find out the problems. What is more, the essay can provide a theory basis for the management and the implementation of policies.

scholarly journals Research on Green Management Effect Evaluation of Power Generation Enterprises in China Based on Dynamic Hesitation and Improved Extreme Learning Machine

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 474 ◽  
Author(s):  
Yunfu Qin ◽  
Menglu Li ◽  
Gejirifu De ◽  
Liling Huang ◽  
Shenbo Yang ◽  
...  
Keyword(s):  
Power Generation ◽  
Extreme Learning Machine ◽  
Carbon Emissions ◽  
Evaluation Model ◽  
Indicator System ◽  
Practical Significance ◽  
Low Carbon ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Learning Machine

Carbon emissions and environmental protection issues have become the pressure from the international community during the current transitional stage of China’s energy transformation. China has set a macro carbon emission target, which will reduce carbon emissions per unit of Gross Domestic Product (GDP) by 40% in 2020 and 60–65% in 2030 than that in 2005. To achieve the emission reduction target, the industrial structure must be adjusted and upgraded. Furthermore, it must start from a high-pollution and high-emission industry. Therefore, it is of practical significance to construct a low-carbon sustainability and green operation benefits of power generation enterprises to save energy and reduce emissions. In this paper, an intuitionistic fuzzy comprehensive analytic hierarchy process based on improved dynamic hesitation degree (D-IFAHP) and an improved extreme learning machine algorithm optimized by RBF kernel function (RELM) are proposed. Firstly, we construct the evaluation indicator system of low-carbon sustainability and green operation benefits of power generation enterprises. Moreover, during the non-dimensional processing, the evaluation index system is determined. Secondly, we apply the evaluation indicator system by an empirical analysis. It is proved that the D-IFAHP evaluation model proposed in this paper has higher accuracy performance. Finally, the RELM is applied to D-IFAHP to construct a combined evaluation model named D-IFAHP-RELM evaluation model. The D-IFAHP evaluation results are used as the input of the training sets of the RELM algorithm, which simplifies the comprehensive evaluation process and can be directly applied to similar projects.

scholarly journals Balanced scorecard-based performance evaluation of Chinese county hospitals in underdeveloped areas

2018 ◽  
Vol 46 (5) ◽  
pp. 1947-1962 ◽  
Author(s):  
Hongda Gao ◽  
He Chen ◽  
Jun Feng ◽  
Xianjing Qin ◽  
Xuan Wang ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Balanced Scorecard ◽  
Hospital Performance ◽  
Indicator System ◽  
Resource Utilisation ◽  
Validity And Reliability ◽  
Factors Affecting ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Utilisation Efficiency

Objective Since the Guangxi government implemented public county hospital reform in 2009, there have been no studies of county hospitals in this underdeveloped area of China. This study aimed to establish an evaluation indicator system for Guangxi county hospitals and to generate recommendations for hospital development and policymaking. Methods A performance evaluation indicator system was developed based on balanced scorecard theory. Opinions were elicited from 25 experts from administrative units, universities and hospitals and the Delphi method was used to modify the performance indicators. The indicator system and the Topsis method were used to evaluate the performance of five county hospitals randomly selected from the same batch of 2015 Guangxi reform pilots. Results There were 4 first-level indicators, 9 second-level indicators and 36 third-level indicators in the final performance evaluation indicator system that showed good consistency, validity and reliability. The performance rank of the hospitals was B > E > A > C > D. Conclusions The performance evaluation indicator system established using the balanced scorecard is practical and scientific. Analysis of the results based on this indicator system identified several factors affecting hospital performance, such as resource utilisation efficiency, medical service price, personnel structure and doctor–patient relationships.

Research on Risk of Automotive Product Life Cycle Design Based on Low Carbon Requirements

2014 ◽  
Vol 909 ◽  
pp. 154-159
Author(s):  
Rui Ping Jia
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Indicator System ◽  
Low Carbon ◽  
Product Life ◽  
Evaluation Indicator ◽  
Life Cycle Design ◽  
Evaluation Indicator System ◽  
Hierarchy Process ◽  
Risk Categories

Based on low-carbon and product life-cycle design concept, this paper classifies risk factors in different stages of automotive product life cycle design risk evaluation indicator system and analyzes the different risk categories weight adopting the rough set and analytical hierarchy process to determine the key risks of automotive product in different stages of life cycle. Additionally, real instances are cited to verify the conclusions.

Evaluating and visualizing QoS of service providers in knowledge-intensive crowdsourcing: a combined MCDM approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shixin Xie ◽  
Xu Wang ◽  
Biyu Yang ◽  
Longxiao Li ◽  
Jinfeng Yu
Keyword(s):  
Information Overload ◽  
Service Providers ◽  
Indicator System ◽  
Evaluation Framework ◽  
Content Type ◽  
Evaluation Indicator ◽  
Order Preference ◽  
Evaluation Indicator System ◽  
Knowledge Intensive ◽  
Qos Evaluation

PurposeAs the number of joined service providers (SPs) in knowledge-intensive crowdsourcing (KI-C) continues to rise, there is an information overload problem for KI-C platforms and consumers to identify qualified SPs to complete tasks. To this end, this paper aims to propose a quality of service (QoS) evaluation framework for SPs in KI-C to effectively and comprehensively characterize the QoS of SPs, which can aid the efficient selection of qualified SPs.Design/methodology/approachBy literature summary and discussion with the expert team, a QoS evaluation indicator system for SPs in KI-C based on the SERVQUAL model is constructed. In addition, the Decision Making Trial and Evaluation Laboratory (DEMATEL) method is used to obtain evaluation indicators' weights. The SPs are evaluated and graded by the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and rank–sum ratio (RSR), respectively.FindingsA QoS evaluation indicator system for SPs in KI-C incorporating 13 indicators based on SERVQUAL has been constructed, and a hybrid methodology combining DEMATEL, TOPSIS and RSR is applied to quantify and visualize the QoS of SPs.Originality/valueThe QoS evaluation framework for SPs in KI-C proposed in this paper can quantify and visualize the QoS of SPs, which can help the crowdsourcing platform to realize differentiated management for SPs and assist SPs to improve their shortcomings in a targeted manner. And this is the first paper to evaluate SPs in KI-C from the prospect of QoS.

scholarly journals Reconstruction of China's Low-Carbon City Evaluation Indicator System

10.1142/9214 ◽  
2014 ◽  
Author(s):  
Jiahua Pan ◽  
Guiyang Zhuang ◽  
Shouxian Zhu ◽  
Ying Zhang
Keyword(s):  
Indicator System ◽  
Low Carbon ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Low Carbon City

scholarly journals Evaluation of Low-Carbon Development of Chinese Cities in 2018

2021 ◽  
pp. 2150003
Author(s):  
CHEN Nan ◽  
ZHUANG Guiyang ◽  
ZHU Shouxian ◽  
WANG Dong ◽  
LI Jue
Keyword(s):  
Capital Investment ◽  
Indicator System ◽  
Low Carbon ◽  
Central Cities ◽  
Chinese Cities ◽  
Evaluation Indicator ◽  
Service Oriented ◽  
Evaluation Indicator System ◽  
Low Carbon Development ◽  
Low Carbon City

This paper evaluates the low-carbon development of 176 Chinese cities in 2018 using the Low-carbon City Evaluation Indicator System developed by Research Institute for Eco-civilization, Chinese Academy of Social Sciences. The evaluation shows an overall improvement of low-carbon development of cities in China, with 10 cities scoring 90 points and above, and 106 cities scoring 80–89 points. From the perspective of city category, the low-carbon development scores present an order as follows: service-oriented [Formula: see text]-prioritized [Formula: see text] cities. Geologically speaking, eastern cites perform best, western cities come second and central cities come last. Of the three batches of low-carbon city pilots, the scores follow the pattern of Batch [Formula: see text] 3. Most cities are characterized by high carbon consumption and reduced efforts in low-carbon management and capital investment. Finally, this paper proposes to attach more importance to low-carbon development and strengthen capacity building for low-carbon governance; intensify efforts for constructing low-carbon pilots in order to help achieve the goal of carbon emission peak during the “14th Five-Year Plan” period; and to improve the Low-carbon City Evaluation Indicator System.

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